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 : 10266
  • 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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