Global Generative AI Market By Offering, By Application, By Industry Vertical: Global Insights, Growth, Size, Comparative Analysis, Trends and Forecast, 2023 – 2031

  • Industry: Technology
  • Report ID: TNR-110-939
  • Number of Pages: 420
  • Table/Charts : Yes
  • November, 2023
  • Base Year : 2024
  • No. of Companies : 10+
  • No. of Countries : 29
  • Views : 10206
  • Covid Impact Covered: Yes
  • War Impact Covered: Yes
  • Formats : PDF, Excel, PPT

Global Generative AI Market Accounted for US$ 5.76 Billion in 2022, Growing at an Estimated CAGR of 35.7% from 2023-2031.

Generative AI is a subset of artificial intelligence that creates data, content, or information rather than just processing or analyzing it. It uses algorithms to generate new, often realistic, text, images, or other media based on patterns and data it has learned from existing examples. Generative AI has applications in various fields, including art, language generation, and content creation.

In the global generative AI market, marketing & sales application is currently dominating. Many businesses were using Generative AI for content generation, personalization, and customer engagement. For instance, chatbots and AI-powered ad content generation witnessed substantial growth.

Global Generative AI Market Revenue & Forecast, (US$ Million), 2022 – 2031

COVID-19 Impact Analysis on Global Generative AI Market

Pre-COVID-19, the generative AI market was steadily growing, with increasing adoption across industries for content generation and automation. However, post-COVID-19, its importance surged as remote work and digitalization accelerated. Companies turned to Generative AI for cost-efficiency and personalized customer interactions, driving higher demand and innovation in the sector.

Report Coverage and Deliverables: 

The rising demand for personalized content is a significant driver of the generative AI market. A survey conducted by found that 91% of consumers prefer brands that offer personalized experiences. Generative AI enables businesses to cater to this demand by creating tailored content, such as product recommendations and marketing messages. For example, Netflix’s recommendation system, powered by Generative AI, is estimated to save the company $1 billion annually by keeping subscribers engaged. This driver highlights the growing importance of Generative AI in enhancing customer engagement and brand loyalty. A key restraint facing the generative AI market is the concern over data privacy and ethical implications. High-profile data breaches and misuse of AI-generated content have raised alarm. Striking the right balance between data utilization and privacy safeguards is a challenge. The need for responsible AI development and regulation adds complexity to the market’s growth, as companies must navigate ethical considerations and potential regulatory hurdles while deploying Generative AI solutions.

The media & entertainment sector is currently dominating the generative AI market, leveraging it for content creation, recommendation systems, and personalization. The study found that a majority of media executives believed AI and machine learning would have a significant impact on content delivery.

North America recorded highest revenue in the global generative AI market in 2022. It is home to a significant number of AI research and development centers, tech giants, and early adopters across various industries. This study found that the US led in AI adoption, with 30% of U.S. companies deploying AI for content generation and customer engagement.

Competitive Landscape: Global Generative AI Market

  • Adobe
  • Amazon Web Services, Inc.
  • AppNation
  • Google
  • IBM
  • Insilico Medicine
  • Lightricks
  • Lumen5
  • Meta
  • Microsoft
  • OpenAI
  • TLDR Technologies, Inc
  • Other Industry Participants

Report Summary of Global Generative AI Market

Report Specifications Details
Market Revenue in 2022 US$ 5.76 Billion
Market Size Forecast by 2031 US$ 115.37Billion
Growth Rate (CAGR) 35.7%
Base Year for Estimation 2022
Forecast Period 2023 – 2031
Report Inclusions Market Size & Estimates, Market Dynamics, Competitive Scenario, Trends, Growth Factors, Market Determinants, Key Investment Segmentation, Product/Service/Solutions Benchmarking
Segments Covered By Offering, By Application, By Industry Vertical
Regions Covered North America, Europe, Asia Pacific, Middle East & Africa, Latin America
Countries Covered U.S., Canada, Mexico, Rest of North America,  France, The UK, Spain, Germany, Italy, Nordic Countries (Denmark, Finland, Iceland, Sweden, Norway), Benelux Union (Belgium, The Netherlands, Luxembourg), Rest of Europe,  China, Japan, India, New Zealand, Australia, South Korea, Southeast Asia (Indonesia, Thailand, Malaysia, Singapore, Rest of Southeast Asia), Rest of Asia Pacific,  Saudi Arabia, UAE, Egypt, Kuwait, South Africa, Rest of Middle East & Africa,  Brazil, Argentina, Rest of Latin America
Key Players Adobe, Amazon Web Services, Inc., AppNation, Google, IBM, Insilico Medicine, Lightricks, Lumen5, Meta, Microsoft, OpenAI, TLDR Technologies, Inc, Other Industry Participants
Customization Scope Customization allows for the inclusion/modification of content pertaining to geographical regions, countries, and specific market segments.
Pricing & Procurement Options Explore purchase options tailored to your specific research requirements
Contact Details Consult With Our Expert

Japan (Toll-Free): – +81 663-386-8111

South Korea (Toll-Free): – +82-808- 703-126

Saudi Arabia (Toll-Free): – +966 800 850 1643

United States: +1 302-232-5106

United Kingdom: +447537105080

E-mail:  askanexpert@thenicheresearch.com

 

 

Global Generative AI Market

By Offering

  • Software
    • Rule-Based Models
    • Statistical Models
    • Deep Learning Models
    • Generative Adversarial Networks (GANs)
    • Autoencoders
    • Convolutional Neural Networks (CNNs)
    • Transformer-Based Large Language Models (LLMs)
  • Services
    • Professional Services
    • Managed Services

By Application

  • Marketing & Sales
  • Human Resource
  • Operations
  • Finance
  • Research & Development
  • Others

By Industry Vertical

  • Media & Entertainment
  • BFSI
  • Healthcare & Life Sciences
  • Manufacturing
  • IT & ITES
  • Retail & Ecommerce
  • Transportation & Logistics
  • Construction & Real Estate
  • Energy & Utilities
  • Government & Defense
  • Telecommunications
  • Other Verticals

By Region

  • North America (U.S., Canada, Mexico, Rest of North America)
  • Europe (France, The UK, Spain, Germany, Italy, Nordic Countries (Denmark, Finland, Iceland, Sweden, Norway), Benelux Union (Belgium, The Netherlands, Luxembourg), Rest of Europe)
  • Asia Pacific (China, Japan, India, New Zealand, Australia, South Korea, Southeast Asia (Indonesia, Thailand, Malaysia, Singapore, Rest of Southeast Asia), Rest of Asia Pacific)
  • Middle East & Africa (Saudi Arabia, UAE, Egypt, Kuwait, South Africa, Rest of Middle East & Africa)
  • Latin America (Brazil, Argentina, Rest of Latin America)

Table of Contents

.

1.Market Scope
1.1.Market Segmentation

1.2.Years Considered
1.2.1.Base Year: 2022

1.2.2.Forecast Years: 2023 – 2031

2.Key Target Audiences

3.Research Methodology
3.1.Primary Research
3.1.1.Research Questionnaire

3.1.2.Global Percentage Breakdown

3.1.3.Primary Interviews: Key Opinion Leaders (KOLs)

3.2.Secondary Research
3.2.1.Paid Databases

3.2.2.Secondary Sources

3.3.Market Size Estimates
3.3.1.Top-Down Approach

3.3.2.Bottom-Up Approach

3.4.Data Triangulation Methodology

3.5.Research Assumptions

4.Recommendations and Insights from TNR’s Perspective**

5.Holistic Overview of Generative AI Market

6.Market Synopsis: Generative AI Market

7.Generative AI Market Analysis: Qualitative Perspective
7.1.Introduction
7.1.1.Product Definition

7.1.2.Industry Development

7.2.Market Dynamics
7.2.1.Drivers

7.2.2.Restraints

7.2.3.Opportunities

7.2.4.Challenges

7.3.Trends in Generative AI Market

7.4.Market Determinants Radar Chart

7.5.Macro-Economic and Micro-Economic Indicators: Generative AI Market

7.6.Porter’s Five Force Analysis

7.7.Impact of Covid-19 on Generative AI Market

7.8.PESTEL Analysis

8.Global Generative AI Market Analysis and Forecasts, 2023 – 2031
8.1.Overview
8.1.1.Global Generative AI Market Revenue (US$ Mn)

8.2.Global Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
8.2.1.Solutions (Definition, Market Estimation and Penetration, 2022, Market Estimation (2022), Market Forecast (2023 – 2031), Compound Annual Growth Rate (CAGR), Regional Bifurcation (North America, Europe, Asia Pacific, Middle East and Africa, Latin America) and Information on Rule-Based Models, Statistical Models, Deep Learning Models, Generative Adversarial Networks (GANs), Autoencoders, Convolutional Neural Networks (CNNs), Transformer-Based Large Language Models (LLMs))
8.2.1.1.Rule-Based Models

8.2.1.2.Statistical Models

8.2.1.3.Deep Learning Models

8.2.1.4.Generative Adversarial Networks (GANs)

8.2.1.5.Autoencoders

8.2.1.6.Convolutional Neural Networks (CNNs)

8.2.1.7.Transformer-Based Large Language Models (LLMs)

8.2.2.Services (Definition, Market Estimation and Penetration, 2022, Market Estimation (2022), Market Forecast (2023 – 2031), Compound Annual Growth Rate (CAGR), Regional Bifurcation (North America, Europe, Asia Pacific, Middle East and Africa, Latin America) and Information on Professional Services, Managed Services)
8.2.2.1.Professional Services

8.2.2.2.Managed Services

8.3.Key Segment for Channeling Investments
8.3.1.By Offering

9.Global Generative AI Market Analysis and Forecasts, 2023 – 2031
9.1.Overview

9.2.Global Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
9.2.1.Marketing and Sales
9.2.1.1.Definition

9.2.1.2.Market Estimation and Penetration, 2022

9.2.1.3.Market Forecast, 2023 – 2031

9.2.1.4.Compound Annual Growth Rate (CAGR)

9.2.1.5.Regional Bifurcation
9.2.1.5.1.North America
9.2.1.5.1.1.Market Estimation, 2022

9.2.1.5.1.2.Market Forecast, 2023 – 2031

9.2.1.5.2.Europe
9.2.1.5.2.1.Market Estimation, 2022

9.2.1.5.2.2.Market Forecast, 2023 – 2031

9.2.1.5.3.Asia Pacific
9.2.1.5.3.1.Market Estimation, 2022

9.2.1.5.3.2.Market Forecast, 2023 – 2031

9.2.1.5.4.Middle East and Africa
9.2.1.5.4.1.Market Estimation, 2022

9.2.1.5.4.2.Market Forecast, 2023 – 2031

9.2.1.5.5.Latin America
9.2.1.5.5.1.Market Estimation, 2022

9.2.1.5.5.2.Market Forecast, 2023 – 2031

9.2.2.Human Resource
9.2.2.1.Definition

9.2.2.2.Market Estimation and Penetration, 2022

9.2.2.3.Market Forecast, 2023 – 2031

9.2.2.4.Compound Annual Growth Rate (CAGR)

9.2.2.5.Regional Bifurcation
9.2.2.5.1.North America
9.2.2.5.1.1.Market Estimation, 2022

9.2.2.5.1.2.Market Forecast, 2023 – 2031

9.2.2.5.2.Europe
9.2.2.5.2.1.Market Estimation, 2022

9.2.2.5.2.2.Market Forecast, 2023 – 2031

9.2.2.5.3.Asia Pacific
9.2.2.5.3.1.Market Estimation, 2022

9.2.2.5.3.2.Market Forecast, 2023 – 2031

9.2.2.5.4.Middle East and Africa
9.2.2.5.4.1.Market Estimation, 2022

9.2.2.5.4.2.Market Forecast, 2023 – 2031

9.2.2.5.5.Latin America
9.2.2.5.5.1.Market Estimation, 2022

9.2.2.5.5.2.Market Forecast, 2023 – 2031

9.2.3.Operations
9.2.3.1.Definition

9.2.3.2.Market Estimation and Penetration, 2022

9.2.3.3.Market Forecast, 2023 – 2031

9.2.3.4.Compound Annual Growth Rate (CAGR)

9.2.3.5.Regional Bifurcation
9.2.3.5.1.North America
9.2.3.5.1.1.Market Estimation, 2022

9.2.3.5.1.2.Market Forecast, 2023 – 2031

9.2.3.5.2.Europe
9.2.3.5.2.1.Market Estimation, 2022

9.2.3.5.2.2.Market Forecast, 2023 – 2031

9.2.3.5.3.Asia Pacific
9.2.3.5.3.1.Market Estimation, 2022

9.2.3.5.3.2.Market Forecast, 2023 – 2031

9.2.3.5.4.Middle East and Africa
9.2.3.5.4.1.Market Estimation, 2022

9.2.3.5.4.2.Market Forecast, 2023 – 2031

9.2.3.5.5.Latin America
9.2.3.5.5.1.Market Estimation, 2022

9.2.3.5.5.2.Market Forecast, 2023 – 2031

9.2.4.Finance
9.2.4.1.Definition

9.2.4.2.Market Estimation and Penetration, 2022

9.2.4.3.Market Forecast, 2023 – 2031

9.2.4.4.Compound Annual Growth Rate (CAGR)

9.2.4.5.Regional Bifurcation
9.2.4.5.1.North America
9.2.4.5.1.1.Market Estimation, 2022

9.2.4.5.1.2.Market Forecast, 2023 – 2031

9.2.4.5.2.Europe
9.2.4.5.2.1.Market Estimation, 2022

9.2.4.5.2.2.Market Forecast, 2023 – 2031

9.2.4.5.3.Asia Pacific
9.2.4.5.3.1.Market Estimation, 2022

9.2.4.5.3.2.Market Forecast, 2023 – 2031

9.2.4.5.4.Middle East and Africa
9.2.4.5.4.1.Market Estimation, 2022

9.2.4.5.4.2.Market Forecast, 2023 – 2031

9.2.4.5.5.Latin America
9.2.4.5.5.1.Market Estimation, 2022

9.2.4.5.5.2.Market Forecast, 2023 – 2031

9.2.5.Research and Development
9.2.5.1.Definition

9.2.5.2.Market Estimation and Penetration, 2022

9.2.5.3.Market Forecast, 2023 – 2031

9.2.5.4.Compound Annual Growth Rate (CAGR)

9.2.5.5.Regional Bifurcation
9.2.5.5.1.North America
9.2.5.5.1.1.Market Estimation, 2022

9.2.5.5.1.2.Market Forecast, 2023 – 2031

9.2.5.5.2.Europe
9.2.5.5.2.1.Market Estimation, 2022

9.2.5.5.2.2.Market Forecast, 2023 – 2031

9.2.5.5.3.Asia Pacific
9.2.5.5.3.1.Market Estimation, 2022

9.2.5.5.3.2.Market Forecast, 2023 – 2031

9.2.5.5.4.Middle East and Africa
9.2.5.5.4.1.Market Estimation, 2022

9.2.5.5.4.2.Market Forecast, 2023 – 2031

9.2.5.5.5.Latin America
9.2.5.5.5.1.Market Estimation, 2022

9.2.5.5.5.2.Market Forecast, 2023 – 2031

9.2.6.Others
9.2.6.1.Definition

9.2.6.2.Market Estimation and Penetration, 2022

9.2.6.3.Market Forecast, 2023 – 2031

9.2.6.4.Compound Annual Growth Rate (CAGR)

9.2.6.5.Regional Bifurcation
9.2.6.5.1.North America
9.2.6.5.1.1.Market Estimation, 2022

9.2.6.5.1.2.Market Forecast, 2023 – 2031

9.2.6.5.2.Europe
9.2.6.5.2.1.Market Estimation, 2022

9.2.6.5.2.2.Market Forecast, 2023 – 2031

9.2.6.5.3.Asia Pacific
9.2.6.5.3.1.Market Estimation, 2022

9.2.6.5.3.2.Market Forecast, 2023 – 2031

9.2.6.5.4.Middle East and Africa
9.2.6.5.4.1.Market Estimation, 2022

9.2.6.5.4.2.Market Forecast, 2023 – 2031

9.2.6.5.5.Latin America
9.2.6.5.5.1.Market Estimation, 2022

9.2.6.5.5.2.Market Forecast, 2023 – 2031

9.3.Key Segment for Channeling Investments
9.3.1.By Application

10.Global Generative AI Market Analysis and Forecasts, 2023 – 2031
10.1.Overview

10.2.Global Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
10.2.1.Media and Entertainment
10.2.1.1.Definition

10.2.1.2.Market Estimation and Penetration, 2022

10.2.1.3.Market Forecast, 2023 – 2031

10.2.1.4.Compound Annual Growth Rate (CAGR)

10.2.1.5.Regional Bifurcation
10.2.1.5.1.North America
10.2.1.5.1.1.Market Estimation, 2022

10.2.1.5.1.2.Market Forecast, 2023 – 2031

10.2.1.5.2.Europe
10.2.1.5.2.1.Market Estimation, 2022

10.2.1.5.2.2.Market Forecast, 2023 – 2031

10.2.1.5.3.Asia Pacific
10.2.1.5.3.1.Market Estimation, 2022

10.2.1.5.3.2.Market Forecast, 2023 – 2031

10.2.1.5.4.Middle East and Africa
10.2.1.5.4.1.Market Estimation, 2022

10.2.1.5.4.2.Market Forecast, 2023 – 2031

10.2.1.5.5.Latin America
10.2.1.5.5.1.Market Estimation, 2022

10.2.1.5.5.2.Market Forecast, 2023 – 2031

10.2.2.BFSI
10.2.2.1.Definition

10.2.2.2.Market Estimation and Penetration, 2022

10.2.2.3.Market Forecast, 2023 – 2031

10.2.2.4.Compound Annual Growth Rate (CAGR)

10.2.2.5.Regional Bifurcation
10.2.2.5.1.North America
10.2.2.5.1.1.Market Estimation, 2022

10.2.2.5.1.2.Market Forecast, 2023 – 2031

10.2.2.5.2.Europe
10.2.2.5.2.1.Market Estimation, 2022

10.2.2.5.2.2.Market Forecast, 2023 – 2031

10.2.2.5.3.Asia Pacific
10.2.2.5.3.1.Market Estimation, 2022

10.2.2.5.3.2.Market Forecast, 2023 – 2031

10.2.2.5.4.Middle East and Africa
10.2.2.5.4.1.Market Estimation, 2022

10.2.2.5.4.2.Market Forecast, 2023 – 2031

10.2.2.5.5.Latin America
10.2.2.5.5.1.Market Estimation, 2022

10.2.2.5.5.2.Market Forecast, 2023 – 2031

10.2.3.Healthcare and Life Sciences
10.2.3.1.Definition

10.2.3.2.Market Estimation and Penetration, 2022

10.2.3.3.Market Forecast, 2023 – 2031

10.2.3.4.Compound Annual Growth Rate (CAGR)

10.2.3.5.Regional Bifurcation
10.2.3.5.1.North America
10.2.3.5.1.1.Market Estimation, 2022

10.2.3.5.1.2.Market Forecast, 2023 – 2031

10.2.3.5.2.Europe
10.2.3.5.2.1.Market Estimation, 2022

10.2.3.5.2.2.Market Forecast, 2023 – 2031

10.2.3.5.3.Asia Pacific
10.2.3.5.3.1.Market Estimation, 2022

10.2.3.5.3.2.Market Forecast, 2023 – 2031

10.2.3.5.4.Middle East and Africa
10.2.3.5.4.1.Market Estimation, 2022

10.2.3.5.4.2.Market Forecast, 2023 – 2031

10.2.3.5.5.Latin America
10.2.3.5.5.1.Market Estimation, 2022

10.2.3.5.5.2.Market Forecast, 2023 – 2031

10.2.4.Manufacturing
10.2.4.1.Definition

10.2.4.2.Market Estimation and Penetration, 2022

10.2.4.3.Market Forecast, 2023 – 2031

10.2.4.4.Compound Annual Growth Rate (CAGR)

10.2.4.5.Regional Bifurcation
10.2.4.5.1.North America
10.2.4.5.1.1.Market Estimation, 2022

10.2.4.5.1.2.Market Forecast, 2023 – 2031

10.2.4.5.2.Europe
10.2.4.5.2.1.Market Estimation, 2022

10.2.4.5.2.2.Market Forecast, 2023 – 2031

10.2.4.5.3.Asia Pacific
10.2.4.5.3.1.Market Estimation, 2022

10.2.4.5.3.2.Market Forecast, 2023 – 2031

10.2.4.5.4.Middle East and Africa
10.2.4.5.4.1.Market Estimation, 2022

10.2.4.5.4.2.Market Forecast, 2023 – 2031

10.2.4.5.5.Latin America
10.2.4.5.5.1.Market Estimation, 2022

10.2.4.5.5.2.Market Forecast, 2023 – 2031

10.2.5.IT and ITES
10.2.5.1.Definition

10.2.5.2.Market Estimation and Penetration, 2022

10.2.5.3.Market Forecast, 2023 – 2031

10.2.5.4.Compound Annual Growth Rate (CAGR)

10.2.5.5.Regional Bifurcation
10.2.5.5.1.North America
10.2.5.5.1.1.Market Estimation, 2022

10.2.5.5.1.2.Market Forecast, 2023 – 2031

10.2.5.5.2.Europe
10.2.5.5.2.1.Market Estimation, 2022

10.2.5.5.2.2.Market Forecast, 2023 – 2031

10.2.5.5.3.Asia Pacific
10.2.5.5.3.1.Market Estimation, 2022

10.2.5.5.3.2.Market Forecast, 2023 – 2031

10.2.5.5.4.Middle East and Africa
10.2.5.5.4.1.Market Estimation, 2022

10.2.5.5.4.2.Market Forecast, 2023 – 2031

10.2.5.5.5.Latin America
10.2.5.5.5.1.Market Estimation, 2022

10.2.5.5.5.2.Market Forecast, 2023 – 2031

10.2.6.Retail and Ecommerce
10.2.6.1.Definition

10.2.6.2.Market Estimation and Penetration, 2022

10.2.6.3.Market Forecast, 2023 – 2031

10.2.6.4.Compound Annual Growth Rate (CAGR)

10.2.6.5.Regional Bifurcation
10.2.6.5.1.North America
10.2.6.5.1.1.Market Estimation, 2022

10.2.6.5.1.2.Market Forecast, 2023 – 2031

10.2.6.5.2.Europe
10.2.6.5.2.1.Market Estimation, 2022

10.2.6.5.2.2.Market Forecast, 2023 – 2031

10.2.6.5.3.Asia Pacific
10.2.6.5.3.1.Market Estimation, 2022

10.2.6.5.3.2.Market Forecast, 2023 – 2031

10.2.6.5.4.Middle East and Africa
10.2.6.5.4.1.Market Estimation, 2022

10.2.6.5.4.2.Market Forecast, 2023 – 2031

10.2.6.5.5.Latin America
10.2.6.5.5.1.Market Estimation, 2022

10.2.6.5.5.2.Market Forecast, 2023 – 2031

10.2.7.Transportation and Logistics
10.2.7.1.Definition

10.2.7.2.Market Estimation and Penetration, 2022

10.2.7.3.Market Forecast, 2023 – 2031

10.2.7.4.Compound Annual Growth Rate (CAGR)

10.2.7.5.Regional Bifurcation
10.2.7.5.1.North America
10.2.7.5.1.1.Market Estimation, 2022

10.2.7.5.1.2.Market Forecast, 2023 – 2031

10.2.7.5.2.Europe
10.2.7.5.2.1.Market Estimation, 2022

10.2.7.5.2.2.Market Forecast, 2023 – 2031

10.2.7.5.3.Asia Pacific
10.2.7.5.3.1.Market Estimation, 2022

10.2.7.5.3.2.Market Forecast, 2023 – 2031

10.2.7.5.4.Middle East and Africa
10.2.7.5.4.1.Market Estimation, 2022

10.2.7.5.4.2.Market Forecast, 2023 – 2031

10.2.7.5.5.Latin America
10.2.7.5.5.1.Market Estimation, 2022

10.2.7.5.5.2.Market Forecast, 2023 – 2031

10.2.8.Construction and Real Estate
10.2.8.1.Definition

10.2.8.2.Market Estimation and Penetration, 2022

10.2.8.3.Market Forecast, 2023 – 2031

10.2.8.4.Compound Annual Growth Rate (CAGR)

10.2.8.5.Regional Bifurcation
10.2.8.5.1.North America
10.2.8.5.1.1.Market Estimation, 2022

10.2.8.5.1.2.Market Forecast, 2023 – 2031

10.2.8.5.2.Europe
10.2.8.5.2.1.Market Estimation, 2022

10.2.8.5.2.2.Market Forecast, 2023 – 2031

10.2.8.5.3.Asia Pacific
10.2.8.5.3.1.Market Estimation, 2022

10.2.8.5.3.2.Market Forecast, 2023 – 2031

10.2.8.5.4.Middle East and Africa
10.2.8.5.4.1.Market Estimation, 2022

10.2.8.5.4.2.Market Forecast, 2023 – 2031

10.2.8.5.5.Latin America
10.2.8.5.5.1.Market Estimation, 2022

10.2.8.5.5.2.Market Forecast, 2023 – 2031

10.2.9.Energy and Utilities
10.2.9.1.Definition

10.2.9.2.Market Estimation and Penetration, 2022

10.2.9.3.Market Forecast, 2023 – 2031

10.2.9.4.Compound Annual Growth Rate (CAGR)

10.2.9.5.Regional Bifurcation
10.2.9.5.1.North America
10.2.9.5.1.1.Market Estimation, 2022

10.2.9.5.1.2.Market Forecast, 2023 – 2031

10.2.9.5.2.Europe
10.2.9.5.2.1.Market Estimation, 2022

10.2.9.5.2.2.Market Forecast, 2023 – 2031

10.2.9.5.3.Asia Pacific
10.2.9.5.3.1.Market Estimation, 2022

10.2.9.5.3.2.Market Forecast, 2023 – 2031

10.2.9.5.4.Middle East and Africa
10.2.9.5.4.1.Market Estimation, 2022

10.2.9.5.4.2.Market Forecast, 2023 – 2031

10.2.9.5.5.Latin America
10.2.9.5.5.1.Market Estimation, 2022

10.2.9.5.5.2.Market Forecast, 2023 – 2031

10.2.10.Government and Defense
10.2.10.1.Definition

10.2.10.2.Market Estimation and Penetration, 2022

10.2.10.3.Market Forecast, 2023 – 2031

10.2.10.4.Compound Annual Growth Rate (CAGR)

10.2.10.5.Regional Bifurcation
10.2.10.5.1.North America
10.2.10.5.1.1.Market Estimation, 2022

10.2.10.5.1.2.Market Forecast, 2023 – 2031

10.2.10.5.2.Europe
10.2.10.5.2.1.Market Estimation, 2022

10.2.10.5.2.2.Market Forecast, 2023 – 2031

10.2.10.5.3.Asia Pacific
10.2.10.5.3.1.Market Estimation, 2022

10.2.10.5.3.2.Market Forecast, 2023 – 2031

10.2.10.5.4.Middle East and Africa
10.2.10.5.4.1.Market Estimation, 2022

10.2.10.5.4.2.Market Forecast, 2023 – 2031

10.2.10.5.5.Latin America
10.2.10.5.5.1.Market Estimation, 2022

10.2.10.5.5.2.Market Forecast, 2023 – 2031

10.2.11.Telecommunications
10.2.11.1.Definition

10.2.11.2.Market Estimation and Penetration, 2022

10.2.11.3.Market Forecast, 2023 – 2031

10.2.11.4.Compound Annual Growth Rate (CAGR)

10.2.11.5.Regional Bifurcation
10.2.11.5.1.North America
10.2.11.5.1.1.Market Estimation, 2022

10.2.11.5.1.2.Market Forecast, 2023 – 2031

10.2.11.5.2.Europe
10.2.11.5.2.1.Market Estimation, 2022

10.2.11.5.2.2.Market Forecast, 2023 – 2031

10.2.11.5.3.Asia Pacific
10.2.11.5.3.1.Market Estimation, 2022

10.2.11.5.3.2.Market Forecast, 2023 – 2031

10.2.11.5.4.Middle East and Africa
10.2.11.5.4.1.Market Estimation, 2022

10.2.11.5.4.2.Market Forecast, 2023 – 2031

10.2.11.5.5.Latin America
10.2.11.5.5.1.Market Estimation, 2022

10.2.11.5.5.2.Market Forecast, 2023 – 2031

10.2.12.Other Verticals
10.2.12.1.Definition

10.2.12.2.Market Estimation and Penetration, 2022

10.2.12.3.Market Forecast, 2023 – 2031

10.2.12.4.Compound Annual Growth Rate (CAGR)

10.2.12.5.Regional Bifurcation
10.2.12.5.1.North America
10.2.12.5.1.1.Market Estimation, 2022

10.2.12.5.1.2.Market Forecast, 2023 – 2031

10.2.12.5.2.Europe
10.2.12.5.2.1.Market Estimation, 2022

10.2.12.5.2.2.Market Forecast, 2023 – 2031

10.2.12.5.3.Asia Pacific
10.2.12.5.3.1.Market Estimation, 2022

10.2.12.5.3.2.Market Forecast, 2023 – 2031

10.2.12.5.4.Middle East and Africa
10.2.12.5.4.1.Market Estimation, 2022

10.2.12.5.4.2.Market Forecast, 2023 – 2031

10.2.12.5.5.Latin America
10.2.12.5.5.1.Market Estimation, 2022

10.2.12.5.5.2.Market Forecast, 2023 – 2031

10.3.Key Segment for Channeling Investments
10.3.1.By Industry Vertical

11.North America Generative AI Market Analysis and Forecasts, 2023 – 2031
11.1.Overview
11.1.1.North America Generative AI Market Revenue (US$ Mn)

11.2.North America Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
11.2.1.Solutions
11.2.1.1.Rule-Based Models

11.2.1.2.Statistical Models

11.2.1.3.Deep Learning Models

11.2.1.4.Generative Adversarial Networks (GANs)

11.2.1.5.Autoencoders

11.2.1.6.Convolutional Neural Networks (CNNs)

11.2.1.7.Transformer-Based Large Language Models (LLMs)

11.2.2.Services
11.2.2.1.Professional Services

11.2.2.2.Managed Services

11.3.North America Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
11.3.1.Marketing and Sales

11.3.2.Human Resource

11.3.3.Operations

11.3.4.Finance

11.3.5.Research and Development

11.3.6.Others

11.4.North America Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
11.4.1.Media and Entertainment

11.4.2.BFSI

11.4.3.Healthcare and Life Sciences

11.4.4.Manufacturing

11.4.5.IT and ITES

11.4.6.Retail and Ecommerce

11.4.7.Transportation and Logistics

11.4.8.Construction and Real Estate

11.4.9.Energy and Utilities

11.4.10.Government and Defense

11.4.11.Telecommunications

11.4.12.Other Verticals

11.5.North America Generative AI Market Revenue (US$ Mn) and Forecasts, By Country
11.5.1.U.S
11.5.1.1.U.S Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
11.5.1.1.1.Solutions
11.5.1.1.1.1.Rule-Based Models

11.5.1.1.1.2.Statistical Models

11.5.1.1.1.3.Deep Learning Models

11.5.1.1.1.4.Generative Adversarial Networks (GANs)

11.5.1.1.1.5.Autoencoders

11.5.1.1.1.6.Convolutional Neural Networks (CNNs)

11.5.1.1.1.7.Transformer-Based Large Language Models (LLMs)

11.5.1.1.2.Services
11.5.1.1.2.1.Professional Services

11.5.1.1.2.2.Managed Services

11.5.1.2.U.S Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
11.5.1.2.1.Marketing and Sales

11.5.1.2.2.Human Resource

11.5.1.2.3.Operations

11.5.1.2.4.Finance

11.5.1.2.5.Research and Development

11.5.1.2.6.Others

11.5.1.3.U.S Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
11.5.1.3.1.Media and Entertainment

11.5.1.3.2.BFSI

11.5.1.3.3.Healthcare and Life Sciences

11.5.1.3.4.Manufacturing

11.5.1.3.5.IT and ITES

11.5.1.3.6.Retail and Ecommerce

11.5.1.3.7.Transportation and Logistics

11.5.1.3.8.Construction and Real Estate

11.5.1.3.9.Energy and Utilities

11.5.1.3.10.Government and Defense

11.5.1.3.11.Telecommunications

11.5.1.3.12.Other Verticals

11.5.2.Canada
11.5.2.1.Canada Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
11.5.2.1.1.Solutions
11.5.2.1.1.1.Rule-Based Models

11.5.2.1.1.2.Statistical Models

11.5.2.1.1.3.Deep Learning Models

11.5.2.1.1.4.Generative Adversarial Networks (GANs)

11.5.2.1.1.5.Autoencoders

11.5.2.1.1.6.Convolutional Neural Networks (CNNs)

11.5.2.1.1.7.Transformer-Based Large Language Models (LLMs)

11.5.2.1.2.Services
11.5.2.1.2.1.Professional Services

11.5.2.1.2.2.Managed Services

11.5.2.2.Canada Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
11.5.2.2.1.Marketing and Sales

11.5.2.2.2.Human Resource

11.5.2.2.3.Operations

11.5.2.2.4.Finance

11.5.2.2.5.Research and Development

11.5.2.2.6.Others

11.5.2.3.Canada Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
11.5.2.3.1.Media and Entertainment

11.5.2.3.2.BFSI

11.5.2.3.3.Healthcare and Life Sciences

11.5.2.3.4.Manufacturing

11.5.2.3.5.IT and ITES

11.5.2.3.6.Retail and Ecommerce

11.5.2.3.7.Transportation and Logistics

11.5.2.3.8.Construction and Real Estate

11.5.2.3.9.Energy and Utilities

11.5.2.3.10.Government and Defense

11.5.2.3.11.Telecommunications

11.5.2.3.12.Other Verticals

11.5.3.Mexico
11.5.3.1.Mexico Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
11.5.3.1.1.Solutions
11.5.3.1.1.1.Rule-Based Models

11.5.3.1.1.2.Statistical Models

11.5.3.1.1.3.Deep Learning Models

11.5.3.1.1.4.Generative Adversarial Networks (GANs)

11.5.3.1.1.5.Autoencoders

11.5.3.1.1.6.Convolutional Neural Networks (CNNs)

11.5.3.1.1.7.Transformer-Based Large Language Models (LLMs)

11.5.3.1.2.Services
11.5.3.1.2.1.Professional Services

11.5.3.1.2.2.Managed Services

11.5.3.2.Mexico Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
11.5.3.2.1.Marketing and Sales

11.5.3.2.2.Human Resource

11.5.3.2.3.Operations

11.5.3.2.4.Finance

11.5.3.2.5.Research and Development

11.5.3.2.6.Others

11.5.3.3.Mexico Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
11.5.3.3.1.Media and Entertainment

11.5.3.3.2.BFSI

11.5.3.3.3.Healthcare and Life Sciences

11.5.3.3.4.Manufacturing

11.5.3.3.5.IT and ITES

11.5.3.3.6.Retail and Ecommerce

11.5.3.3.7.Transportation and Logistics

11.5.3.3.8.Construction and Real Estate

11.5.3.3.9.Energy and Utilities

11.5.3.3.10.Government and Defense

11.5.3.3.11.Telecommunications

11.5.3.3.12.Other Verticals

11.5.4.Rest of North America
11.5.4.1.Rest of North America Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
11.5.4.1.1.Solutions
11.5.4.1.1.1.Rule-Based Models

11.5.4.1.1.2.Statistical Models

11.5.4.1.1.3.Deep Learning Models

11.5.4.1.1.4.Generative Adversarial Networks (GANs)

11.5.4.1.1.5.Autoencoders

11.5.4.1.1.6.Convolutional Neural Networks (CNNs)

11.5.4.1.1.7.Transformer-Based Large Language Models (LLMs)

11.5.4.1.2.Services
11.5.4.1.2.1.Professional Services

11.5.4.1.2.2.Managed Services

11.5.4.2.Rest of North America Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
11.5.4.2.1.Marketing and Sales

11.5.4.2.2.Human Resource

11.5.4.2.3.Operations

11.5.4.2.4.Finance

11.5.4.2.5.Research and Development

11.5.4.2.6.Others

11.5.4.3.Rest of North America Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
11.5.4.3.1.Media and Entertainment

11.5.4.3.2.BFSI

11.5.4.3.3.Healthcare and Life Sciences

11.5.4.3.4.Manufacturing

11.5.4.3.5.IT and ITES

11.5.4.3.6.Retail and Ecommerce

11.5.4.3.7.Transportation and Logistics

11.5.4.3.8.Construction and Real Estate

11.5.4.3.9.Energy and Utilities

11.5.4.3.10.Government and Defense

11.5.4.3.11.Telecommunications

11.5.4.3.12.Other Verticals

11.6.Key Segment for Channeling Investments
11.6.1.By Country

11.6.2.By Offering

11.6.3.By Application

11.6.4.By Industry Vertical

12.Europe Generative AI Market Analysis and Forecasts, 2023 – 2031
12.1.Overview
12.1.1.Europe Generative AI Market Revenue (US$ Mn)

12.2.Europe Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
12.2.1.Solutions
12.2.1.1.Rule-Based Models

12.2.1.2.Statistical Models

12.2.1.3.Deep Learning Models

12.2.1.4.Generative Adversarial Networks (GANs)

12.2.1.5.Autoencoders

12.2.1.6.Convolutional Neural Networks (CNNs)

12.2.1.7.Transformer-Based Large Language Models (LLMs)

12.2.2.Services
12.2.2.1.Professional Services

12.2.2.2.Managed Services

12.3.Europe Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
12.3.1.Marketing and Sales

12.3.2.Human Resource

12.3.3.Operations

12.3.4.Finance

12.3.5.Research and Development

12.3.6.Others

12.4.Europe Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
12.4.1.Media and Entertainment

12.4.2.BFSI

12.4.3.Healthcare and Life Sciences

12.4.4.Manufacturing

12.4.5.IT and ITES

12.4.6.Retail and Ecommerce

12.4.7.Transportation and Logistics

12.4.8.Construction and Real Estate

12.4.9.Energy and Utilities

12.4.10.Government and Defense

12.4.11.Telecommunications

12.4.12.Other Verticals

12.5.Europe Generative AI Market Revenue (US$ Mn) and Forecasts, By Country
12.5.1.France
12.5.1.1.France Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
12.5.1.1.1.Solutions
12.5.1.1.1.1.Rule-Based Models

12.5.1.1.1.2.Statistical Models

12.5.1.1.1.3.Deep Learning Models

12.5.1.1.1.4.Generative Adversarial Networks (GANs)

12.5.1.1.1.5.Autoencoders

12.5.1.1.1.6.Convolutional Neural Networks (CNNs)

12.5.1.1.1.7.Transformer-Based Large Language Models (LLMs)

12.5.1.1.2.Services
12.5.1.1.2.1.Professional Services

12.5.1.1.2.2.Managed Services

12.5.1.2.France Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
12.5.1.2.1.Marketing and Sales

12.5.1.2.2.Human Resource

12.5.1.2.3.Operations

12.5.1.2.4.Finance

12.5.1.2.5.Research and Development

12.5.1.2.6.Others

12.5.1.3.France Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
12.5.1.3.1.Media and Entertainment

12.5.1.3.2.BFSI

12.5.1.3.3.Healthcare and Life Sciences

12.5.1.3.4.Manufacturing

12.5.1.3.5.IT and ITES

12.5.1.3.6.Retail and Ecommerce

12.5.1.3.7.Transportation and Logistics

12.5.1.3.8.Construction and Real Estate

12.5.1.3.9.Energy and Utilities

12.5.1.3.10.Government and Defense

12.5.1.3.11.Telecommunications

12.5.1.3.12.Other Verticals

12.5.2.The UK
12.5.2.1.The UK Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
12.5.2.1.1.Solutions
12.5.2.1.1.1.Rule-Based Models

12.5.2.1.1.2.Statistical Models

12.5.2.1.1.3.Deep Learning Models

12.5.2.1.1.4.Generative Adversarial Networks (GANs)

12.5.2.1.1.5.Autoencoders

12.5.2.1.1.6.Convolutional Neural Networks (CNNs)

12.5.2.1.1.7.Transformer-Based Large Language Models (LLMs)

12.5.2.1.2.Services
12.5.2.1.2.1.Professional Services

12.5.2.1.2.2.Managed Services

12.5.2.2.The UK Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
12.5.2.2.1.Marketing and Sales

12.5.2.2.2.Human Resource

12.5.2.2.3.Operations

12.5.2.2.4.Finance

12.5.2.2.5.Research and Development

12.5.2.2.6.Others

12.5.2.3.The UK Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
12.5.2.3.1.Media and Entertainment

12.5.2.3.2.BFSI

12.5.2.3.3.Healthcare and Life Sciences

12.5.2.3.4.Manufacturing

12.5.2.3.5.IT and ITES

12.5.2.3.6.Retail and Ecommerce

12.5.2.3.7.Transportation and Logistics

12.5.2.3.8.Construction and Real Estate

12.5.2.3.9.Energy and Utilities

12.5.2.3.10.Government and Defense

12.5.2.3.11.Telecommunications

12.5.2.3.12.Other Verticals

12.5.3.Spain
12.5.3.1.Spain Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
12.5.3.1.1.Solutions
12.5.3.1.1.1.Rule-Based Models

12.5.3.1.1.2.Statistical Models

12.5.3.1.1.3.Deep Learning Models

12.5.3.1.1.4.Generative Adversarial Networks (GANs)

12.5.3.1.1.5.Autoencoders

12.5.3.1.1.6.Convolutional Neural Networks (CNNs)

12.5.3.1.1.7.Transformer-Based Large Language Models (LLMs)

12.5.3.1.2.Services
12.5.3.1.2.1.Professional Services

12.5.3.1.2.2.Managed Services

12.5.3.2.Spain Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
12.5.3.2.1.Marketing and Sales

12.5.3.2.2.Human Resource

12.5.3.2.3.Operations

12.5.3.2.4.Finance

12.5.3.2.5.Research and Development

12.5.3.2.6.Others

12.5.3.3.Spain Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
12.5.3.3.1.Media and Entertainment

12.5.3.3.2.BFSI

12.5.3.3.3.Healthcare and Life Sciences

12.5.3.3.4.Manufacturing

12.5.3.3.5.IT and ITES

12.5.3.3.6.Retail and Ecommerce

12.5.3.3.7.Transportation and Logistics

12.5.3.3.8.Construction and Real Estate

12.5.3.3.9.Energy and Utilities

12.5.3.3.10.Government and Defense

12.5.3.3.11.Telecommunications

12.5.3.3.12.Other Verticals

12.5.4.Germany
12.5.4.1.Germany Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
12.5.4.1.1.Solutions
12.5.4.1.1.1.Rule-Based Models

12.5.4.1.1.2.Statistical Models

12.5.4.1.1.3.Deep Learning Models

12.5.4.1.1.4.Generative Adversarial Networks (GANs)

12.5.4.1.1.5.Autoencoders

12.5.4.1.1.6.Convolutional Neural Networks (CNNs)

12.5.4.1.1.7.Transformer-Based Large Language Models (LLMs)

12.5.4.1.2.Services
12.5.4.1.2.1.Professional Services

12.5.4.1.2.2.Managed Services

12.5.4.2.Germany Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
12.5.4.2.1.Marketing and Sales

12.5.4.2.2.Human Resource

12.5.4.2.3.Operations

12.5.4.2.4.Finance

12.5.4.2.5.Research and Development

12.5.4.2.6.Others

12.5.4.3.Germany Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
12.5.4.3.1.Media and Entertainment

12.5.4.3.2.BFSI

12.5.4.3.3.Healthcare and Life Sciences

12.5.4.3.4.Manufacturing

12.5.4.3.5.IT and ITES

12.5.4.3.6.Retail and Ecommerce

12.5.4.3.7.Transportation and Logistics

12.5.4.3.8.Construction and Real Estate

12.5.4.3.9.Energy and Utilities

12.5.4.3.10.Government and Defense

12.5.4.3.11.Telecommunications

12.5.4.3.12.Other Verticals

12.5.5.Italy
12.5.5.1.Italy Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
12.5.5.1.1.Solutions
12.5.5.1.1.1.Rule-Based Models

12.5.5.1.1.2.Statistical Models

12.5.5.1.1.3.Deep Learning Models

12.5.5.1.1.4.Generative Adversarial Networks (GANs)

12.5.5.1.1.5.Autoencoders

12.5.5.1.1.6.Convolutional Neural Networks (CNNs)

12.5.5.1.1.7.Transformer-Based Large Language Models (LLMs)

12.5.5.1.2.Services
12.5.5.1.2.1.Professional Services

12.5.5.1.2.2.Managed Services

12.5.5.2.Italy Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
12.5.5.2.1.Marketing and Sales

12.5.5.2.2.Human Resource

12.5.5.2.3.Operations

12.5.5.2.4.Finance

12.5.5.2.5.Research and Development

12.5.5.2.6.Others

12.5.5.3.Italy Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
12.5.5.3.1.Media and Entertainment

12.5.5.3.2.BFSI

12.5.5.3.3.Healthcare and Life Sciences

12.5.5.3.4.Manufacturing

12.5.5.3.5.IT and ITES

12.5.5.3.6.Retail and Ecommerce

12.5.5.3.7.Transportation and Logistics

12.5.5.3.8.Construction and Real Estate

12.5.5.3.9.Energy and Utilities

12.5.5.3.10.Government and Defense

12.5.5.3.11.Telecommunications

12.5.5.3.12.Other Verticals

12.5.6.Nordic Countries
12.5.6.1.Nordic Countries Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
12.5.6.1.1.Solutions
12.5.6.1.1.1.Rule-Based Models

12.5.6.1.1.2.Statistical Models

12.5.6.1.1.3.Deep Learning Models

12.5.6.1.1.4.Generative Adversarial Networks (GANs)

12.5.6.1.1.5.Autoencoders

12.5.6.1.1.6.Convolutional Neural Networks (CNNs)

12.5.6.1.1.7.Transformer-Based Large Language Models (LLMs)

12.5.6.1.2.Services
12.5.6.1.2.1.Professional Services

12.5.6.1.2.2.Managed Services

12.5.6.2.Nordic Countries Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
12.5.6.2.1.Marketing and Sales

12.5.6.2.2.Human Resource

12.5.6.2.3.Operations

12.5.6.2.4.Finance

12.5.6.2.5.Research and Development

12.5.6.2.6.Others

12.5.6.3.Nordic Countries Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
12.5.6.3.1.Media and Entertainment

12.5.6.3.2.BFSI

12.5.6.3.3.Healthcare and Life Sciences

12.5.6.3.4.Manufacturing

12.5.6.3.5.IT and ITES

12.5.6.3.6.Retail and Ecommerce

12.5.6.3.7.Transportation and Logistics

12.5.6.3.8.Construction and Real Estate

12.5.6.3.9.Energy and Utilities

12.5.6.3.10.Government and Defense

12.5.6.3.11.Telecommunications

12.5.6.3.12.Other Verticals

12.5.6.4.Nordic Countries Generative AI Market Revenue (US$ Mn) and Forecasts, By Country
12.5.6.4.1.Denmark

12.5.6.4.2.Finland

12.5.6.4.3.Iceland

12.5.6.4.4.Sweden

12.5.6.4.5.Norway

12.5.7.Benelux Union
12.5.7.1.Benelux Union Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
12.5.7.1.1.Solutions
12.5.7.1.1.1.Rule-Based Models

12.5.7.1.1.2.Statistical Models

12.5.7.1.1.3.Deep Learning Models

12.5.7.1.1.4.Generative Adversarial Networks (GANs)

12.5.7.1.1.5.Autoencoders

12.5.7.1.1.6.Convolutional Neural Networks (CNNs)

12.5.7.1.1.7.Transformer-Based Large Language Models (LLMs)

12.5.7.1.2.Services
12.5.7.1.2.1.Professional Services

12.5.7.1.2.2.Managed Services

12.5.7.2.Benelux Union Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
12.5.7.2.1.Marketing and Sales

12.5.7.2.2.Human Resource

12.5.7.2.3.Operations

12.5.7.2.4.Finance

12.5.7.2.5.Research and Development

12.5.7.2.6.Others

12.5.7.3.Benelux Union Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
12.5.7.3.1.Media and Entertainment

12.5.7.3.2.BFSI

12.5.7.3.3.Healthcare and Life Sciences

12.5.7.3.4.Manufacturing

12.5.7.3.5.IT and ITES

12.5.7.3.6.Retail and Ecommerce

12.5.7.3.7.Transportation and Logistics

12.5.7.3.8.Construction and Real Estate

12.5.7.3.9.Energy and Utilities

12.5.7.3.10.Government and Defense

12.5.7.3.11.Telecommunications

12.5.7.3.12.Other Verticals

12.5.7.4.Benelux Union Generative AI Market Revenue (US$ Mn) and Forecasts, By Country
12.5.7.4.1.Belgium

12.5.7.4.2.The Netherlands

12.5.7.4.3.Luxembourg

12.5.8.Rest of Europe
12.5.8.1.Rest of Europe Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
12.5.8.1.1.Solutions
12.5.8.1.1.1.Rule-Based Models

12.5.8.1.1.2.Statistical Models

12.5.8.1.1.3.Deep Learning Models

12.5.8.1.1.4.Generative Adversarial Networks (GANs)

12.5.8.1.1.5.Autoencoders

12.5.8.1.1.6.Convolutional Neural Networks (CNNs)

12.5.8.1.1.7.Transformer-Based Large Language Models (LLMs)

12.5.8.1.2.Services
12.5.8.1.2.1.Professional Services

12.5.8.1.2.2.Managed Services

12.5.8.2.Rest of Europe Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
12.5.8.2.1.Marketing and Sales

12.5.8.2.2.Human Resource

12.5.8.2.3.Operations

12.5.8.2.4.Finance

12.5.8.2.5.Research and Development

12.5.8.2.6.Others

12.5.8.3.Rest of Europe Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
12.5.8.3.1.Media and Entertainment

12.5.8.3.2.BFSI

12.5.8.3.3.Healthcare and Life Sciences

12.5.8.3.4.Manufacturing

12.5.8.3.5.IT and ITES

12.5.8.3.6.Retail and Ecommerce

12.5.8.3.7.Transportation and Logistics

12.5.8.3.8.Construction and Real Estate

12.5.8.3.9.Energy and Utilities

12.5.8.3.10.Government and Defense

12.5.8.3.11.Telecommunications

12.5.8.3.12.Other Verticals

12.6.Key Segment for Channeling Investments
12.6.1.By Country

12.6.2.By Offering

12.6.3.By Application

12.6.4.By Industry Vertical

13.Asia Pacific Generative AI Market Analysis and Forecasts, 2023 – 2031
13.1.Overview
13.1.1.Asia Pacific Generative AI Market Revenue (US$ Mn)

13.2.Asia Pacific Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
13.2.1.Solutions
13.2.1.1.Rule-Based Models

13.2.1.2.Statistical Models

13.2.1.3.Deep Learning Models

13.2.1.4.Generative Adversarial Networks (GANs)

13.2.1.5.Autoencoders

13.2.1.6.Convolutional Neural Networks (CNNs)

13.2.1.7.Transformer-Based Large Language Models (LLMs)

13.2.2.Services
13.2.2.1.Professional Services

13.2.2.2.Managed Services

13.3.Asia Pacific Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
13.3.1.Marketing and Sales

13.3.2.Human Resource

13.3.3.Operations

13.3.4.Finance

13.3.5.Research and Development

13.3.6.Others

13.4.Asia Pacific Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
13.4.1.Media and Entertainment

13.4.2.BFSI

13.4.3.Healthcare and Life Sciences

13.4.4.Manufacturing

13.4.5.IT and ITES

13.4.6.Retail and Ecommerce

13.4.7.Transportation and Logistics

13.4.8.Construction and Real Estate

13.4.9.Energy and Utilities

13.4.10.Government and Defense

13.4.11.Telecommunications

13.4.12.Other Verticals

13.5.Asia Pacific Generative AI Market Revenue (US$ Mn) and Forecasts, By Country
13.5.1.China
13.5.1.1.China Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
13.5.1.1.1.Solutions
13.5.1.1.1.1.Rule-Based Models

13.5.1.1.1.2.Statistical Models

13.5.1.1.1.3.Deep Learning Models

13.5.1.1.1.4.Generative Adversarial Networks (GANs)

13.5.1.1.1.5.Autoencoders

13.5.1.1.1.6.Convolutional Neural Networks (CNNs)

13.5.1.1.1.7.Transformer-Based Large Language Models (LLMs)

13.5.1.1.2.Services
13.5.1.1.2.1.Professional Services

13.5.1.1.2.2.Managed Services

13.5.1.2.China Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
13.5.1.2.1.Marketing and Sales

13.5.1.2.2.Human Resource

13.5.1.2.3.Operations

13.5.1.2.4.Finance

13.5.1.2.5.Research and Development

13.5.1.2.6.Others

13.5.1.3.China Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
13.5.1.3.1.Media and Entertainment

13.5.1.3.2.BFSI

13.5.1.3.3.Healthcare and Life Sciences

13.5.1.3.4.Manufacturing

13.5.1.3.5.IT and ITES

13.5.1.3.6.Retail and Ecommerce

13.5.1.3.7.Transportation and Logistics

13.5.1.3.8.Construction and Real Estate

13.5.1.3.9.Energy and Utilities

13.5.1.3.10.Government and Defense

13.5.1.3.11.Telecommunications

13.5.1.3.12.Other Verticals

13.5.2.Japan
13.5.2.1.Japan Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
13.5.2.1.1.Solutions
13.5.2.1.1.1.Rule-Based Models

13.5.2.1.1.2.Statistical Models

13.5.2.1.1.3.Deep Learning Models

13.5.2.1.1.4.Generative Adversarial Networks (GANs)

13.5.2.1.1.5.Autoencoders

13.5.2.1.1.6.Convolutional Neural Networks (CNNs)

13.5.2.1.1.7.Transformer-Based Large Language Models (LLMs)

13.5.2.1.2.Services
13.5.2.1.2.1.Professional Services

13.5.2.1.2.2.Managed Services

13.5.2.2.Japan Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
13.5.2.2.1.Marketing and Sales

13.5.2.2.2.Human Resource

13.5.2.2.3.Operations

13.5.2.2.4.Finance

13.5.2.2.5.Research and Development

13.5.2.2.6.Others

13.5.2.3.Japan Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
13.5.2.3.1.Media and Entertainment

13.5.2.3.2.BFSI

13.5.2.3.3.Healthcare and Life Sciences

13.5.2.3.4.Manufacturing

13.5.2.3.5.IT and ITES

13.5.2.3.6.Retail and Ecommerce

13.5.2.3.7.Transportation and Logistics

13.5.2.3.8.Construction and Real Estate

13.5.2.3.9.Energy and Utilities

13.5.2.3.10.Government and Defense

13.5.2.3.11.Telecommunications

13.5.2.3.12.Other Verticals

13.5.3.India
13.5.3.1.India Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
13.5.3.1.1.Solutions
13.5.3.1.1.1.Rule-Based Models

13.5.3.1.1.2.Statistical Models

13.5.3.1.1.3.Deep Learning Models

13.5.3.1.1.4.Generative Adversarial Networks (GANs)

13.5.3.1.1.5.Autoencoders

13.5.3.1.1.6.Convolutional Neural Networks (CNNs)

13.5.3.1.1.7.Transformer-Based Large Language Models (LLMs)

13.5.3.1.2.Services
13.5.3.1.2.1.Professional Services

13.5.3.1.2.2.Managed Services

13.5.3.2.India Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
13.5.3.2.1.Marketing and Sales

13.5.3.2.2.Human Resource

13.5.3.2.3.Operations

13.5.3.2.4.Finance

13.5.3.2.5.Research and Development

13.5.3.2.6.Others

13.5.3.3.India Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
13.5.3.3.1.Media and Entertainment

13.5.3.3.2.BFSI

13.5.3.3.3.Healthcare and Life Sciences

13.5.3.3.4.Manufacturing

13.5.3.3.5.IT and ITES

13.5.3.3.6.Retail and Ecommerce

13.5.3.3.7.Transportation and Logistics

13.5.3.3.8.Construction and Real Estate

13.5.3.3.9.Energy and Utilities

13.5.3.3.10.Government and Defense

13.5.3.3.11.Telecommunications

13.5.3.3.12.Other Verticals

13.5.4.New Zealand
13.5.4.1.New Zealand Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
13.5.4.1.1.Solutions
13.5.4.1.1.1.Rule-Based Models

13.5.4.1.1.2.Statistical Models

13.5.4.1.1.3.Deep Learning Models

13.5.4.1.1.4.Generative Adversarial Networks (GANs)

13.5.4.1.1.5.Autoencoders

13.5.4.1.1.6.Convolutional Neural Networks (CNNs)

13.5.4.1.1.7.Transformer-Based Large Language Models (LLMs)

13.5.4.1.2.Services
13.5.4.1.2.1.Professional Services

13.5.4.1.2.2.Managed Services

13.5.4.2.New Zealand Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
13.5.4.2.1.Marketing and Sales

13.5.4.2.2.Human Resource

13.5.4.2.3.Operations

13.5.4.2.4.Finance

13.5.4.2.5.Research and Development

13.5.4.2.6.Others

13.5.4.3.New Zealand Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
13.5.4.3.1.Media and Entertainment

13.5.4.3.2.BFSI

13.5.4.3.3.Healthcare and Life Sciences

13.5.4.3.4.Manufacturing

13.5.4.3.5.IT and ITES

13.5.4.3.6.Retail and Ecommerce

13.5.4.3.7.Transportation and Logistics

13.5.4.3.8.Construction and Real Estate

13.5.4.3.9.Energy and Utilities

13.5.4.3.10.Government and Defense

13.5.4.3.11.Telecommunications

13.5.4.3.12.Other Verticals

13.5.5.Australia
13.5.5.1.Australia Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
13.5.5.1.1.Solutions
13.5.5.1.1.1.Rule-Based Models

13.5.5.1.1.2.Statistical Models

13.5.5.1.1.3.Deep Learning Models

13.5.5.1.1.4.Generative Adversarial Networks (GANs)

13.5.5.1.1.5.Autoencoders

13.5.5.1.1.6.Convolutional Neural Networks (CNNs)

13.5.5.1.1.7.Transformer-Based Large Language Models (LLMs)

13.5.5.1.2.Services
13.5.5.1.2.1.Professional Services

13.5.5.1.2.2.Managed Services

13.5.5.2.Australia Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
13.5.5.2.1.Marketing and Sales

13.5.5.2.2.Human Resource

13.5.5.2.3.Operations

13.5.5.2.4.Finance

13.5.5.2.5.Research and Development

13.5.5.2.6.Others

13.5.5.3.Australia Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
13.5.5.3.1.Media and Entertainment

13.5.5.3.2.BFSI

13.5.5.3.3.Healthcare and Life Sciences

13.5.5.3.4.Manufacturing

13.5.5.3.5.IT and ITES

13.5.5.3.6.Retail and Ecommerce

13.5.5.3.7.Transportation and Logistics

13.5.5.3.8.Construction and Real Estate

13.5.5.3.9.Energy and Utilities

13.5.5.3.10.Government and Defense

13.5.5.3.11.Telecommunications

13.5.5.3.12.Other Verticals

13.5.6.South Korea
13.5.6.1.South Korea Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
13.5.6.1.1.Solutions
13.5.6.1.1.1.Rule-Based Models

13.5.6.1.1.2.Statistical Models

13.5.6.1.1.3.Deep Learning Models

13.5.6.1.1.4.Generative Adversarial Networks (GANs)

13.5.6.1.1.5.Autoencoders

13.5.6.1.1.6.Convolutional Neural Networks (CNNs)

13.5.6.1.1.7.Transformer-Based Large Language Models (LLMs)

13.5.6.1.2.Services
13.5.6.1.2.1.Professional Services

13.5.6.1.2.2.Managed Services

13.5.6.2.South Korea Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
13.5.6.2.1.Marketing and Sales

13.5.6.2.2.Human Resource

13.5.6.2.3.Operations

13.5.6.2.4.Finance

13.5.6.2.5.Research and Development

13.5.6.2.6.Others

13.5.6.3.South Korea Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
13.5.6.3.1.Media and Entertainment

13.5.6.3.2.BFSI

13.5.6.3.3.Healthcare and Life Sciences

13.5.6.3.4.Manufacturing

13.5.6.3.5.IT and ITES

13.5.6.3.6.Retail and Ecommerce

13.5.6.3.7.Transportation and Logistics

13.5.6.3.8.Construction and Real Estate

13.5.6.3.9.Energy and Utilities

13.5.6.3.10.Government and Defense

13.5.6.3.11.Telecommunications

13.5.6.3.12.Other Verticals

13.5.7.Southeast Asia
13.5.7.1.Southeast Asia Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
13.5.7.1.1.Solutions
13.5.7.1.1.1.Rule-Based Models

13.5.7.1.1.2.Statistical Models

13.5.7.1.1.3.Deep Learning Models

13.5.7.1.1.4.Generative Adversarial Networks (GANs)

13.5.7.1.1.5.Autoencoders

13.5.7.1.1.6.Convolutional Neural Networks (CNNs)

13.5.7.1.1.7.Transformer-Based Large Language Models (LLMs)

13.5.7.1.2.Services
13.5.7.1.2.1.Professional Services

13.5.7.1.2.2.Managed Services

13.5.7.2.Southeast Asia Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
13.5.7.2.1.Marketing and Sales

13.5.7.2.2.Human Resource

13.5.7.2.3.Operations

13.5.7.2.4.Finance

13.5.7.2.5.Research and Development

13.5.7.2.6.Others

13.5.7.3.Southeast Asia Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
13.5.7.3.1.Media and Entertainment

13.5.7.3.2.BFSI

13.5.7.3.3.Healthcare and Life Sciences

13.5.7.3.4.Manufacturing

13.5.7.3.5.IT and ITES

13.5.7.3.6.Retail and Ecommerce

13.5.7.3.7.Transportation and Logistics

13.5.7.3.8.Construction and Real Estate

13.5.7.3.9.Energy and Utilities

13.5.7.3.10.Government and Defense

13.5.7.3.11.Telecommunications

13.5.7.3.12.Other Verticals

13.5.7.4.Southeast Asia Generative AI Market Revenue (US$ Mn) and Forecasts, By Country
13.5.7.4.1.Indonesia

13.5.7.4.2.Thailand

13.5.7.4.3.Malaysia

13.5.7.4.4.Singapore

13.5.7.4.5.Rest of Southeast Asia

13.5.8.Rest of Asia Pacific
13.5.8.1.Rest of Asia Pacific Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
13.5.8.1.1.Solutions
13.5.8.1.1.1.Rule-Based Models

13.5.8.1.1.2.Statistical Models

13.5.8.1.1.3.Deep Learning Models

13.5.8.1.1.4.Generative Adversarial Networks (GANs)

13.5.8.1.1.5.Autoencoders

13.5.8.1.1.6.Convolutional Neural Networks (CNNs)

13.5.8.1.1.7.Transformer-Based Large Language Models (LLMs)

13.5.8.1.2.Services
13.5.8.1.2.1.Professional Services

13.5.8.1.2.2.Managed Services

13.5.8.2.Rest of Asia Pacific Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
13.5.8.2.1.Marketing and Sales

13.5.8.2.2.Human Resource

13.5.8.2.3.Operations

13.5.8.2.4.Finance

13.5.8.2.5.Research and Development

13.5.8.2.6.Others

13.5.8.3.Rest of Asia Pacific Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
13.5.8.3.1.Media and Entertainment

13.5.8.3.2.BFSI

13.5.8.3.3.Healthcare and Life Sciences

13.5.8.3.4.Manufacturing

13.5.8.3.5.IT and ITES

13.5.8.3.6.Retail and Ecommerce

13.5.8.3.7.Transportation and Logistics

13.5.8.3.8.Construction and Real Estate

13.5.8.3.9.Energy and Utilities

13.5.8.3.10.Government and Defense

13.5.8.3.11.Telecommunications

13.5.8.3.12.Other Verticals

13.6.Key Segment for Channeling Investments
13.6.1.By Country

13.6.2.By Offering

13.6.3.By Application

13.6.4.By Industry Vertical

14.Middle East and Africa Generative AI Market Analysis and Forecasts, 2023 – 2031
14.1.Overview
14.1.1.Middle East and Africa Generative AI Market Revenue (US$ Mn)

14.2.Middle East and Africa Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
14.2.1.Solutions
14.2.1.1.Rule-Based Models

14.2.1.2.Statistical Models

14.2.1.3.Deep Learning Models

14.2.1.4.Generative Adversarial Networks (GANs)

14.2.1.5.Autoencoders

14.2.1.6.Convolutional Neural Networks (CNNs)

14.2.1.7.Transformer-Based Large Language Models (LLMs)

14.2.2.Services
14.2.2.1.Professional Services

14.2.2.2.Managed Services

14.3.Middle East and Africa Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
14.3.1.Marketing and Sales

14.3.2.Human Resource

14.3.3.Operations

14.3.4.Finance

14.3.5.Research and Development

14.3.6.Others

14.4.Middle East and Africa Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
14.4.1.Media and Entertainment

14.4.2.BFSI

14.4.3.Healthcare and Life Sciences

14.4.4.Manufacturing

14.4.5.IT and ITES

14.4.6.Retail and Ecommerce

14.4.7.Transportation and Logistics

14.4.8.Construction and Real Estate

14.4.9.Energy and Utilities

14.4.10.Government and Defense

14.4.11.Telecommunications

14.4.12.Other Verticals

14.5.Middle East and Africa Generative AI Market Revenue (US$ Mn) and Forecasts, By Country
14.5.1.Saudi Arabia
14.5.1.1.Saudi Arabia Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
14.5.1.1.1.Solutions
14.5.1.1.1.1.Rule-Based Models

14.5.1.1.1.2.Statistical Models

14.5.1.1.1.3.Deep Learning Models

14.5.1.1.1.4.Generative Adversarial Networks (GANs)

14.5.1.1.1.5.Autoencoders

14.5.1.1.1.6.Convolutional Neural Networks (CNNs)

14.5.1.1.1.7.Transformer-Based Large Language Models (LLMs)

14.5.1.1.2.Services
14.5.1.1.2.1.Professional Services

14.5.1.1.2.2.Managed Services

14.5.1.2.Saudi Arabia Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
14.5.1.2.1.Marketing and Sales

14.5.1.2.2.Human Resource

14.5.1.2.3.Operations

14.5.1.2.4.Finance

14.5.1.2.5.Research and Development

14.5.1.2.6.Others

14.5.1.3.Saudi Arabia Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
14.5.1.3.1.Media and Entertainment

14.5.1.3.2.BFSI

14.5.1.3.3.Healthcare and Life Sciences

14.5.1.3.4.Manufacturing

14.5.1.3.5.IT and ITES

14.5.1.3.6.Retail and Ecommerce

14.5.1.3.7.Transportation and Logistics

14.5.1.3.8.Construction and Real Estate

14.5.1.3.9.Energy and Utilities

14.5.1.3.10.Government and Defense

14.5.1.3.11.Telecommunications

14.5.1.3.12.Other Verticals

14.5.2.UAE
14.5.2.1.UAE Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
14.5.2.1.1.Solutions
14.5.2.1.1.1.Rule-Based Models

14.5.2.1.1.2.Statistical Models

14.5.2.1.1.3.Deep Learning Models

14.5.2.1.1.4.Generative Adversarial Networks (GANs)

14.5.2.1.1.5.Autoencoders

14.5.2.1.1.6.Convolutional Neural Networks (CNNs)

14.5.2.1.1.7.Transformer-Based Large Language Models (LLMs)

14.5.2.1.2.Services
14.5.2.1.2.1.Professional Services

14.5.2.1.2.2.Managed Services

14.5.2.2.UAE Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
14.5.2.2.1.Marketing and Sales

14.5.2.2.2.Human Resource

14.5.2.2.3.Operations

14.5.2.2.4.Finance

14.5.2.2.5.Research and Development

14.5.2.2.6.Others

14.5.2.3.UAE Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
14.5.2.3.1.Media and Entertainment

14.5.2.3.2.BFSI

14.5.2.3.3.Healthcare and Life Sciences

14.5.2.3.4.Manufacturing

14.5.2.3.5.IT and ITES

14.5.2.3.6.Retail and Ecommerce

14.5.2.3.7.Transportation and Logistics

14.5.2.3.8.Construction and Real Estate

14.5.2.3.9.Energy and Utilities

14.5.2.3.10.Government and Defense

14.5.2.3.11.Telecommunications

14.5.2.3.12.Other Verticals

14.5.3.Egypt
14.5.3.1.Egypt Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
14.5.3.1.1.Solutions
14.5.3.1.1.1.Rule-Based Models

14.5.3.1.1.2.Statistical Models

14.5.3.1.1.3.Deep Learning Models

14.5.3.1.1.4.Generative Adversarial Networks (GANs)

14.5.3.1.1.5.Autoencoders

14.5.3.1.1.6.Convolutional Neural Networks (CNNs)

14.5.3.1.1.7.Transformer-Based Large Language Models (LLMs)

14.5.3.1.2.Services
14.5.3.1.2.1.Professional Services

14.5.3.1.2.2.Managed Services

14.5.3.2.Egypt Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
14.5.3.2.1.Marketing and Sales

14.5.3.2.2.Human Resource

14.5.3.2.3.Operations

14.5.3.2.4.Finance

14.5.3.2.5.Research and Development

14.5.3.2.6.Others

14.5.3.3.Egypt Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
14.5.3.3.1.Media and Entertainment

14.5.3.3.2.BFSI

14.5.3.3.3.Healthcare and Life Sciences

14.5.3.3.4.Manufacturing

14.5.3.3.5.IT and ITES

14.5.3.3.6.Retail and Ecommerce

14.5.3.3.7.Transportation and Logistics

14.5.3.3.8.Construction and Real Estate

14.5.3.3.9.Energy and Utilities

14.5.3.3.10.Government and Defense

14.5.3.3.11.Telecommunications

14.5.3.3.12.Other Verticals

14.5.4.Kuwait
14.5.4.1.Kuwait Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
14.5.4.1.1.Solutions
14.5.4.1.1.1.Rule-Based Models

14.5.4.1.1.2.Statistical Models

14.5.4.1.1.3.Deep Learning Models

14.5.4.1.1.4.Generative Adversarial Networks (GANs)

14.5.4.1.1.5.Autoencoders

14.5.4.1.1.6.Convolutional Neural Networks (CNNs)

14.5.4.1.1.7.Transformer-Based Large Language Models (LLMs)

14.5.4.1.2.Services
14.5.4.1.2.1.Professional Services

14.5.4.1.2.2.Managed Services

14.5.4.2.Kuwait Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
14.5.4.2.1.Marketing and Sales

14.5.4.2.2.Human Resource

14.5.4.2.3.Operations

14.5.4.2.4.Finance

14.5.4.2.5.Research and Development

14.5.4.2.6.Others

14.5.4.3.Kuwait Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
14.5.4.3.1.Media and Entertainment

14.5.4.3.2.BFSI

14.5.4.3.3.Healthcare and Life Sciences

14.5.4.3.4.Manufacturing

14.5.4.3.5.IT and ITES

14.5.4.3.6.Retail and Ecommerce

14.5.4.3.7.Transportation and Logistics

14.5.4.3.8.Construction and Real Estate

14.5.4.3.9.Energy and Utilities

14.5.4.3.10.Government and Defense

14.5.4.3.11.Telecommunications

14.5.4.3.12.Other Verticals

14.5.5.South Africa
14.5.5.1.South Africa Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
14.5.5.1.1.Solutions
14.5.5.1.1.1.Rule-Based Models

14.5.5.1.1.2.Statistical Models

14.5.5.1.1.3.Deep Learning Models

14.5.5.1.1.4.Generative Adversarial Networks (GANs)

14.5.5.1.1.5.Autoencoders

14.5.5.1.1.6.Convolutional Neural Networks (CNNs)

14.5.5.1.1.7.Transformer-Based Large Language Models (LLMs)

14.5.5.1.2.Services
14.5.5.1.2.1.Professional Services

14.5.5.1.2.2.Managed Services

14.5.5.2.South Africa Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
14.5.5.2.1.Marketing and Sales

14.5.5.2.2.Human Resource

14.5.5.2.3.Operations

14.5.5.2.4.Finance

14.5.5.2.5.Research and Development

14.5.5.2.6.Others

14.5.5.3.South Africa Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
14.5.5.3.1.Media and Entertainment

14.5.5.3.2.BFSI

14.5.5.3.3.Healthcare and Life Sciences

14.5.5.3.4.Manufacturing

14.5.5.3.5.IT and ITES

14.5.5.3.6.Retail and Ecommerce

14.5.5.3.7.Transportation and Logistics

14.5.5.3.8.Construction and Real Estate

14.5.5.3.9.Energy and Utilities

14.5.5.3.10.Government and Defense

14.5.5.3.11.Telecommunications

14.5.5.3.12.Other Verticals

14.5.6.Rest of Middle East & Africa
14.5.6.1.Rest of Middle East & Africa Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
14.5.6.1.1.Solutions
14.5.6.1.1.1.Rule-Based Models

14.5.6.1.1.2.Statistical Models

14.5.6.1.1.3.Deep Learning Models

14.5.6.1.1.4.Generative Adversarial Networks (GANs)

14.5.6.1.1.5.Autoencoders

14.5.6.1.1.6.Convolutional Neural Networks (CNNs)

14.5.6.1.1.7.Transformer-Based Large Language Models (LLMs)

14.5.6.1.2.Services
14.5.6.1.2.1.Professional Services

14.5.6.1.2.2.Managed Services

14.5.6.2.Rest of Middle East & Africa Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
14.5.6.2.1.Marketing and Sales

14.5.6.2.2.Human Resource

14.5.6.2.3.Operations

14.5.6.2.4.Finance

14.5.6.2.5.Research and Development

14.5.6.2.6.Others

14.5.6.3.Rest of Middle East & Africa Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
14.5.6.3.1.Media and Entertainment

14.5.6.3.2.BFSI

14.5.6.3.3.Healthcare and Life Sciences

14.5.6.3.4.Manufacturing

14.5.6.3.5.IT and ITES

14.5.6.3.6.Retail and Ecommerce

14.5.6.3.7.Transportation and Logistics

14.5.6.3.8.Construction and Real Estate

14.5.6.3.9.Energy and Utilities

14.5.6.3.10.Government and Defense

14.5.6.3.11.Telecommunications

14.5.6.3.12.Other Verticals

14.6.Key Segment for Channeling Investments
14.6.1.By Country

14.6.2.By Offering

14.6.3.By Application

14.6.4.By Industry Vertical

15.Latin America Generative AI Market Analysis and Forecasts, 2023 – 2031
15.1.Overview
15.1.1.Latin America Generative AI Market Revenue (US$ Mn)

15.2.Latin America Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
15.2.1.Solutions
15.2.1.1.Rule-Based Models

15.2.1.2.Statistical Models

15.2.1.3.Deep Learning Models

15.2.1.4.Generative Adversarial Networks (GANs)

15.2.1.5.Autoencoders

15.2.1.6.Convolutional Neural Networks (CNNs)

15.2.1.7.Transformer-Based Large Language Models (LLMs)

15.2.2.Services
15.2.2.1.Professional Services

15.2.2.2.Managed Services

15.3.Latin America Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
15.3.1.Marketing and Sales

15.3.2.Human Resource

15.3.3.Operations

15.3.4.Finance

15.3.5.Research and Development

15.3.6.Others

15.4.Latin America Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
15.4.1.Media and Entertainment

15.4.2.BFSI

15.4.3.Healthcare and Life Sciences

15.4.4.Manufacturing

15.4.5.IT and ITES

15.4.6.Retail and Ecommerce

15.4.7.Transportation and Logistics

15.4.8.Construction and Real Estate

15.4.9.Energy and Utilities

15.4.10.Government and Defense

15.4.11.Telecommunications

15.4.12.Other Verticals

15.5.Latin America Generative AI Market Revenue (US$ Mn) and Forecasts, By Country
15.5.1.Brazil
15.5.1.1.Brazil Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
15.5.1.1.1.Solutions
15.5.1.1.1.1.Rule-Based Models

15.5.1.1.1.2.Statistical Models

15.5.1.1.1.3.Deep Learning Models

15.5.1.1.1.4.Generative Adversarial Networks (GANs)

15.5.1.1.1.5.Autoencoders

15.5.1.1.1.6.Convolutional Neural Networks (CNNs)

15.5.1.1.1.7.Transformer-Based Large Language Models (LLMs)

15.5.1.1.2.Services
15.5.1.1.2.1.Professional Services

15.5.1.1.2.2.Managed Services

15.5.1.2.Brazil Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
15.5.1.2.1.Marketing and Sales

15.5.1.2.2.Human Resource

15.5.1.2.3.Operations

15.5.1.2.4.Finance

15.5.1.2.5.Research and Development

15.5.1.2.6.Others

15.5.1.3.Brazil Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
15.5.1.3.1.Media and Entertainment

15.5.1.3.2.BFSI

15.5.1.3.3.Healthcare and Life Sciences

15.5.1.3.4.Manufacturing

15.5.1.3.5.IT and ITES

15.5.1.3.6.Retail and Ecommerce

15.5.1.3.7.Transportation and Logistics

15.5.1.3.8.Construction and Real Estate

15.5.1.3.9.Energy and Utilities

15.5.1.3.10.Government and Defense

15.5.1.3.11.Telecommunications

15.5.1.3.12.Other Verticals

15.5.2.Argentina
15.5.2.1.Argentina Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
15.5.2.1.1.Solutions
15.5.2.1.1.1.Rule-Based Models

15.5.2.1.1.2.Statistical Models

15.5.2.1.1.3.Deep Learning Models

15.5.2.1.1.4.Generative Adversarial Networks (GANs)

15.5.2.1.1.5.Autoencoders

15.5.2.1.1.6.Convolutional Neural Networks (CNNs)

15.5.2.1.1.7.Transformer-Based Large Language Models (LLMs)

15.5.2.1.2.Services
15.5.2.1.2.1.Professional Services

15.5.2.1.2.2.Managed Services

15.5.2.2.Argentina Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
15.5.2.2.1.Marketing and Sales

15.5.2.2.2.Human Resource

15.5.2.2.3.Operations

15.5.2.2.4.Finance

15.5.2.2.5.Research and Development

15.5.2.2.6.Others

15.5.2.3.Argentina Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
15.5.2.3.1.Media and Entertainment

15.5.2.3.2.BFSI

15.5.2.3.3.Healthcare and Life Sciences

15.5.2.3.4.Manufacturing

15.5.2.3.5.IT and ITES

15.5.2.3.6.Retail and Ecommerce

15.5.2.3.7.Transportation and Logistics

15.5.2.3.8.Construction and Real Estate

15.5.2.3.9.Energy and Utilities

15.5.2.3.10.Government and Defense

15.5.2.3.11.Telecommunications

15.5.2.3.12.Other Verticals

15.5.3.Rest of Latin America
15.5.3.1.Rest of Latin America Generative AI Market Revenue (US$ Mn) and Forecasts, By Offering
15.5.3.1.1.Solutions
15.5.3.1.1.1.Rule-Based Models

15.5.3.1.1.2.Statistical Models

15.5.3.1.1.3.Deep Learning Models

15.5.3.1.1.4.Generative Adversarial Networks (GANs)

15.5.3.1.1.5.Autoencoders

15.5.3.1.1.6.Convolutional Neural Networks (CNNs)

15.5.3.1.1.7.Transformer-Based Large Language Models (LLMs)

15.5.3.1.2.Services
15.5.3.1.2.1.Professional Services

15.5.3.1.2.2.Managed Services

15.5.3.2.Rest of Latin America Generative AI Market Revenue (US$ Mn) and Forecasts, By Application
15.5.3.2.1.Marketing and Sales

15.5.3.2.2.Human Resource

15.5.3.2.3.Operations

15.5.3.2.4.Finance

15.5.3.2.5.Research and Development

15.5.3.2.6.Others

15.5.3.3.Rest of Latin America Generative AI Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
15.5.3.3.1.Media and Entertainment

15.5.3.3.2.BFSI

15.5.3.3.3.Healthcare and Life Sciences

15.5.3.3.4.Manufacturing

15.5.3.3.5.IT and ITES

15.5.3.3.6.Retail and Ecommerce

15.5.3.3.7.Transportation and Logistics

15.5.3.3.8.Construction and Real Estate

15.5.3.3.9.Energy and Utilities

15.5.3.3.10.Government and Defense

15.5.3.3.11.Telecommunications

15.5.3.3.12.Other Verticals

15.6.Key Segment for Channeling Investments
15.6.1.By Country

15.6.2.By Offering

15.6.3.By Application

15.6.4.By Industry Vertical

16.Competitive Benchmarking
16.1.Market Share Analysis, 2022

16.2.Global Presence and Growth Strategies
16.2.1.Mergers and Acquisitions

16.2.2.Product Launches

16.2.3.Investments Trends

16.2.4.R&D Initiatives

17.Player Profiles
17.1.Adobe
17.1.1.Company Details

17.1.2.Company Overview

17.1.3.Product Offerings

17.1.4.Key Developments

17.1.5.Financial Analysis

17.1.6.SWOT Analysis

17.1.7.Business Strategies

17.2.Amazon Web Services, Inc.
17.2.1.Company Details

17.2.2.Company Overview

17.2.3.Product Offerings

17.2.4.Key Developments

17.2.5.Financial Analysis

17.2.6.SWOT Analysis

17.2.7.Business Strategies

17.3.AppNation
17.3.1.Company Details

17.3.2.Company Overview

17.3.3.Product Offerings

17.3.4.Key Developments

17.3.5.Financial Analysis

17.3.6.SWOT Analysis

17.3.7.Business Strategies

17.4.Google
17.4.1.Company Details

17.4.2.Company Overview

17.4.3.Product Offerings

17.4.4.Key Developments

17.4.5.Financial Analysis

17.4.6.SWOT Analysis

17.4.7.Business Strategies

17.5.IBM
17.5.1.Company Details

17.5.2.Company Overview

17.5.3.Product Offerings

17.5.4.Key Developments

17.5.5.Financial Analysis

17.5.6.SWOT Analysis

17.5.7.Business Strategies

17.6.Insilico Medicine
17.6.1.Company Details

17.6.2.Company Overview

17.6.3.Product Offerings

17.6.4.Key Developments

17.6.5.Financial Analysis

17.6.6.SWOT Analysis

17.6.7.Business Strategies

17.7.Lightricks
17.7.1.Company Details

17.7.2.Company Overview

17.7.3.Product Offerings

17.7.4.Key Developments

17.7.5.Financial Analysis

17.7.6.SWOT Analysis

17.7.7.Business Strategies

17.8.Lumen5
17.8.1.Company Details

17.8.2.Company Overview

17.8.3.Product Offerings

17.8.4.Key Developments

17.8.5.Financial Analysis

17.8.6.SWOT Analysis

17.8.7.Business Strategies

17.9.Meta
17.9.1.Company Details

17.9.2.Company Overview

17.9.3.Product Offerings

17.9.4.Key Developments

17.9.5.Financial Analysis

17.9.6.SWOT Analysis

17.9.7.Business Strategies

17.10.Microsoft
17.10.1.Company Details

17.10.2.Company Overview

17.10.3.Product Offerings

17.10.4.Key Developments

17.10.5.Financial Analysis

17.10.6.SWOT Analysis

17.10.7.Business Strategies

17.11.OpenAI
17.11.1.Company Details

17.11.2.Company Overview

17.11.3.Product Offerings

17.11.4.Key Developments

17.11.5.Financial Analysis

17.11.6.SWOT Analysis

17.11.7.Business Strategies

17.12.TLDR Technologies, Inc
17.12.1.Company Details

17.12.2.Company Overview

17.12.3.Product Offerings

17.12.4.Key Developments

17.12.5.Financial Analysis

17.12.6.SWOT Analysis

17.12.7.Business Strategies

17.13.Other Industry Participants

18.Key Findings

.

**Exclusive for Multi-User and Enterprise User.

Global Generative AI Market Segmentation

By Offering

 Software
 Rule-Based Models

 Statistical Models

 Deep Learning Models

 Generative Adversarial Networks (GANs)

 Autoencoders

 Convolutional Neural Networks (CNNs)

 Transformer-Based Large Language Models (LLMs)

 Services
 Professional Services

 Managed Services

By Application

 Marketing & Sales

 Human Resource

 Operations

 Finance

 Research & Development

 Others

By Industry Vertical

 Media & Entertainment

 BFSI

 Healthcare & Life Sciences

 Manufacturing

 IT & ITES

 Retail & Ecommerce

 Transportation & Logistics

 Construction & Real Estate

 Energy & Utilities

 Government & Defense

 Telecommunications

 Other Verticals

By Region

 North America (U.S., Canada, Mexico, Rest of North America)

 Europe (France, The UK, Spain, Germany, Italy, Nordic Countries (Denmark, Finland, Iceland, Sweden, Norway), Benelux Union (Belgium, The Netherlands, Luxembourg), Rest of Europe)

 Asia Pacific (China, Japan, India, New Zealand, Australia, South Korea, Southeast Asia (Indonesia, Thailand, Malaysia, Singapore, Rest of Southeast Asia), Rest of Asia Pacific)

 Middle East & Africa (Saudi Arabia, UAE, Egypt, Kuwait, South Africa, Rest of Middle East & Africa)

 Latin America (Brazil, Argentina, Rest of Latin America)

**Note: The report covers cross-segmentation analysis by region further into countries

.

The Niche Research approach encompasses both primary and secondary research methods to provide comprehensive insights. While primary research is the cornerstone of our studies, we also incorporate secondary research sources such as company annual reports, premium industry databases, press releases, industry journals, and white papers.

Within our primary research, we actively engage with various industry stakeholders, conducting paid interviews and surveys. Our meticulous analysis extends to every market participant in major countries, allowing us to thoroughly examine their portfolios, calculate market shares, and segment revenues.

Our data collection primarily focuses on individual countries within our research scope, enabling us to estimate regional market sizes. Typically, we employ a bottom-up approach, meticulously tracking trends in different countries. We analyze growth drivers, constraints, technological innovations, and opportunities for each country, ultimately arriving at regional figures.Our process begins by examining the growth prospects of each country. Building upon these insights, we project growth and trends for the entire region. Finally, we utilize our proprietary model to refine estimations and forecasts.

Our data validation standards are integral to ensuring the reliability and accuracy of our research findings. Here’s a breakdown of our data validation processes and the stakeholders we engage with during our primary research:

  • Supply Side Analysis: We initiate a supply side analysis by directly contacting market participants, through telephonic interviews and questionnaires containing both open-ended and close-ended questions. We gather information on their portfolios, segment revenues, developments, and growth strategies.
  • Demand Side Analysis: To gain insights into adoption trends and consumer preferences, we reach out to target customers and users (non-vendors). This information forms a vital part of the qualitative analysis section of our reports, covering market dynamics, adoption trends, consumer behavior, spending patterns, and other related aspects.
  • Consultant Insights: We tap into the expertise of our partner consultants from around the world to obtain their unique viewpoints and perspectives. Their insights contribute to a well-rounded understanding of the markets under investigation.
  • In-House Validation: To ensure data accuracy and reliability, we conduct cross-validation of data points and information through our in-house team of consultants and utilize advanced data modeling tools for thorough verification.

The forecasts we provide are based on a comprehensive assessment of various factors, including:

  • Market Trends and Past Performance (Last Five Years): We accurately analyze market trends and performance data from preceding five years to identify historical patterns and understand the market’s evolution.
  • Historical Performance and Growth of Market Participants: We assess the historical performance and growth trajectories of key market participants. This analysis provides insights into the competitive landscape and individual company strategies.
  • Market Determinants Impact Analysis (Next Eight Years): We conduct a rigorous analysis of the factors that are projected to influence the market over the next eight years. This includes assessing both internal and external determinants that can shape market dynamics.
  • Drivers and Challenges for the Forecast Period:Identify the factors expected to drive market growth during the forecast period, as well as the challenges that the industry may face. This analysis aids in deriving an accurate growth rate projection.
  • New Acquisitions, Collaborations, or Partnerships: We keep a close watch on any new acquisitions, collaborations, or partnerships within the industry. These developments can have a significant impact on market dynamics and competitiveness.
  • Macro and Micro Factors Analysis:A thorough examination of both macro-level factors (e.g., economic trends, regulatory changes) and micro-level factors (e.g., technological advancements, consumer preferences) that may influence the market during the forecast period.
  • End-User Sentiment Analysis: To understand the market from the end-user perspective, we conduct sentiment analysis. This involves assessing the sentiment, preferences, and feedback of the end-users, which can provide valuable insights into market trends.
  • Perspective of Primary Participants: Insights gathered directly from primary research participants play a crucial role in shaping our forecasts. Their perspectives and experiences provide valuable qualitative data.
  • Year-on-Year Growth Trend: We utilize a year-on-year growth trend based on historical market growth and expected future trends. This helps in formulating our growth projections, aligning them with the market’s historical performance.

Research process adopted by TNR involves multiple stages, including data collection, validation, quality checks, and presentation. It’s crucial that the data and information we provide add value to your existing market understanding and expertise. We have also established partnerships with business consulting, research, and survey organizations across regions and globally to collaborate on regional analysis and data validation, ensuring the highest level of accuracy and reliability in our reports.

 

 

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