Global No-code AI Platform Market, By Component, By Deployment Mode, By Technology, By Organization Size, By Industry Vertical, By Region & Segmental Insights Trends and Forecast, 2024 – 2034

  • Industry: Technology
  • Report ID: TNR-110-1219
  • Number of Pages: 420
  • Table/Charts : Yes
  • July, 2024
  • Base Year : 2024
  • No. of Companies : 10+
  • No. of Countries : 29
  • Views : 10197
  • Covid Impact Covered: Yes
  • War Impact Covered: Yes
  • Formats : PDF, Excel, PPT

A No-code AI platform is a tool or service that enables users to build, deploy, and manage artificial intelligence (AI) models without needing to write any code. These platforms are designed to be user-friendly, allowing people with little to no programming experience to leverage AI technologies for various applications.

No-code AI platform market is experiencing rapid growth, driven by the increasing demand for democratizing AI and machine learning capabilities. Key drivers include the rising need for automation across industries, a shortage of skilled data scientists, and the push for digital transformation initiatives. Organizations are leveraging these platforms to enhance productivity, reduce time-to-market, and streamline operations without requiring extensive technical expertise.

Key trends shaping the market include advancements in AutoML, integration of AI capabilities into business processes, and the proliferation of cloud-based solutions. The emphasis on user-friendly interfaces and pre-built models is accelerating adoption across small and medium-sized enterprises, further propelling market expansion. In Terms of Revenue, the Global No-code AI Platform Market was Worth US$ 3.9 Bn in 2023 and is Anticipated to Witness a CAGR of 31.5% During 2024 – 2034.

Opportunities in No-code AI Platform Market

Expansion in Small and Medium-Sized Enterprises (SMEs)

SMEs often lack the resources and technical expertise to develop AI solutions from scratch. No-code AI platforms provide these businesses with accessible, cost-effective tools to implement AI-driven strategies, enhancing their competitiveness. By automating routine tasks, optimizing operations, and improving decision-making processes, SMEs can achieve greater efficiency and innovation. As more SMEs recognize the value of AI, the demand for intuitive, no-code solutions will surge, driving market growth. Additionally, tailored marketing and educational initiatives can further accelerate adoption, positioning no-code AI platforms as essential tools for SME digital transformation.

Integration with IoT and Edge Computing

As IoT devices generate vast amounts of data, the ability to analyze and act on this data in real-time becomes crucial. No-code AI platforms can empower businesses to develop intelligent IoT solutions quickly, without extensive programming knowledge. This integration facilitates real-time data processing and decision-making at the edge, enhancing efficiency and reducing latency. Industries such as manufacturing, healthcare, and logistics can particularly benefit from this synergy, driving demand for no-code AI solutions. As IoT adoption continues to grow, the market for integrated no-code AI and IoT solutions is poised for substantial expansion.

No-code AI Platform Market Segmentation by Component, Deployment Mode, Technology, Organization Size, Industry Vertical, Region

Platform segment by component dominated the no-code AI platform market, capturing a significant revenue share of 79.5% over the forecast period. This dominance is attributed to the comprehensive capabilities offered by these platforms, including seamless integration, user-friendly interfaces, and extensive automation features. Businesses are increasingly adopting no-code AI platforms to streamline their AI development processes, reduce dependency on specialized technical talent, and accelerate deployment timelines. The platforms’ ability to provide end-to-end solutions—from data integration and model building to deployment and monitoring—drives their widespread adoption across various industries. As organizations prioritize digital transformation and seek efficient, scalable AI solutions, the platform segment is poised to maintain its leading market position.

On premises segment by deployment mode is set to dominate the no-code AI platform market, commanding a substantial revenue share of 69.7% over the forecast period. This preference is driven by the need for enhanced data security, control over sensitive information, and compliance with stringent regulatory requirements. Businesses, particularly in sectors like finance, healthcare, and government, opt for on-premises deployment to ensure data privacy and mitigate risks associated with cloud-based solutions. On-premises deployment offers greater customization and integration capabilities with existing IT infrastructure. As organizations prioritize safeguarding their data while leveraging advanced AI tools, the on-premises segment is expected to maintain its significant market share and continue driving growth in the no-code AI platform market.

Computer vision segment is anticipated to be the fastest-growing technology in the no-code AI platform market, capturing a substantial revenue share of 32.6% over the forecast period. This rapid growth is driven by the increasing demand for automated image and video analysis across various industries, such as retail, healthcare, and manufacturing. No-code AI platforms enable businesses to develop and deploy computer vision applications quickly, without requiring extensive technical expertise. Applications range from facial recognition and object detection to quality control and surveillance. As organizations seek to enhance operational efficiency and customer experiences, the adoption of no-code computer vision solutions is set to surge, fueling market expansion.

Large enterprises by organization size dominated the no-code AI platform market in 2023. These organizations, with substantial resources and complex workflows, find no-code AI platforms invaluable for accelerating AI adoption without the need for extensive coding expertise. By utilizing these platforms, large enterprises can efficiently automate processes, analyze vast amounts of data, and implement sophisticated AI-driven strategies. The scalability, customization, and integration capabilities of no-code AI solutions cater perfectly to the diverse needs of large enterprises, ensuring they maintain their leadership in innovation and operational efficiency within their respective industries.

By industry vertical, BFSI is anticipated to grow fastest over the forecast timeline, capturing a revenue share of 17.2% in 2023. This growth is driven by the sector’s increasing need for automation, fraud detection, risk management, and customer service enhancements. No-code AI platforms enable BFSI companies to rapidly develop and deploy AI applications, improving operational efficiency and customer experience without requiring extensive technical expertise. By leveraging these platforms, BFSI organizations can innovate quickly, respond to market changes effectively, and maintain regulatory compliance, thereby driving significant market growth in this vertical.

In 2023, Asia Pacific is anticipated to play a significant role in propelling the growth of the no-code AI platform market, contributing approximately 22.5% to its overall expansion. This surge is fueled by the region’s rapid digital transformation, increasing investments in AI technology, and a burgeoning startup ecosystem. Countries like China, India, and Japan are at the forefront, driven by strong government support and a growing demand for AI-driven solutions across various industries. The adoption of no-code AI platforms in Asia Pacific is accelerating as businesses seek to enhance operational efficiency, innovate faster, and gain competitive advantages, positioning the region as a key player in the market’s global expansion.

Key Developments

  • In October 2023, CyborgIntell, a leading provider of AI solutions, launched two innovative products designed for the BFSI sector: Feature Store and Model Risk Management (MRM). Feature Store, a no-code AI platform, streamlines the creation of numerous features from raw data, cutting data preparation time for modeling by 90%. This tool enables financial institutions to deeply analyze transaction details, including behaviors, patterns, habits, preferences, risks, and relationships.
  • In October 2023, Akkio Inc. released Generative Reports, an AI-driven tool that quickly converts data into actionable insights. This tool allows small and medium-sized businesses to integrate their data, outline projects, and generate real-time reports automatically. It provides a self-service option to optimize marketing expenditures, lead scoring, revenue forecasting, and improve customer experiences.

Major Players in No-code AI Platform Market

  • AgilePoint Inc
  • Akkio Inc.
  • com, Inc.
  • Apple Inc.
  • Caspio, Inc.
  • Clarifai, Inc.
  • DataRobot, Inc.
  • Google LLC
  • Intersect Labs
  • Levity AI GmbH
  • Microsoft
  • MonkeyLearn
  • Quickbase, Inc.
  • Other Industry Participants

Global No-code AI Platform Market Scope

Report Specifications Details
Market Revenue in 2023 US$ 3.9 Bn
Market Size Forecast by 2034 US$ 79.7 Bn
Growth Rate (CAGR) 31.5%
Historic Data 2016 – 2022
Base Year for Estimation 2023
Forecast Period 2024 – 2034
Report Inclusions Market Size & Estimates, Market Dynamics, Competitive Scenario, Trends, Growth Factors, Market Determinants, Key Investment Segmentation, Product/Service/Solutions Benchmarking
Segments Covered By Component, By Deployment Mode, By Technology, By Organization Size, By Industry Vertical, By Region
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 AgilePoint Inc, Akkio Inc., Amazon.com, Inc., Apple Inc., Caspio, Inc., Clarifai, Inc., DataRobot, Inc., Google LLC, Intersect Labs, Levity AI GmbH, Microsoft, MonkeyLearn, Quickbase, Inc.
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 Kingdom: +44 753-710-5080

United States: +1 302-232-5106

E-mail:  askanexpert@thenicheresearch.com

 

Global No-code AI Platform Market

By Component

  • Platform
  • Services

By Deployment Mode

  • On Premises
  • Cloud

By Technology

  • Natural Language Processing (NLP)
  • Machine Learning
  • Computer Vision
  • Others

By Organization Size

  • Startups and Small Companies
  • Large Enterprises

By Industry Vertical

  • BFSI
  • IT & Telecom
  • Retail
  • Healthcare
  • Manufacturing
  • Government
  • Education
  • Others

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)

Report Layout:

Table of Contents

.

1.Market Scope
1.1.Market Segmentation
1.2.Years Considered
1.2.1.Historic Years: 2016 – 2022
1.2.2.Base Year: 2023
1.2.3.Forecast Years: 2024 – 2034
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 No-code AI Platform Market
6.Market Synopsis: No-code AI Platform Market
7.No-code AI Platform 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 No-code AI Platform Market
7.4.Market Determinants Radar Chart
7.5.Macro-Economic and Micro-Economic Indicators: No-code AI Platform Market
7.6.Porter’s Five Force Analysis
7.7.Impact of Covid-19 on No-code AI Platform Market
7.8.PESTEL Analysis
7.9.Value Chain Analysis
8.Global No-code AI Platform Market Analysis and Forecasts, 2024 – 2034
8.1.Overview
8.1.1.Global No-code AI Platform Market Revenue (US$ Mn)
8.2.Global No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
8.2.1.Platform
8.2.1.1.Definition
8.2.1.2.Market Estimation and Penetration, 2016 – 2023
8.2.1.3.Market Forecast, 2024 – 2034
8.2.1.4.Compound Annual Growth Rate (CAGR)
8.2.1.5.Regional Bifurcation
8.2.1.5.1.North America
8.2.1.5.1.1.Market Estimation, 2016 – 2023
8.2.1.5.1.2.Market Forecast, 2024 – 2034
8.2.1.5.2.Europe
8.2.1.5.2.1.Market Estimation, 2016 – 2023
8.2.1.5.2.2.Market Forecast, 2024 – 2034
8.2.1.5.3.Asia Pacific
8.2.1.5.3.1.Market Estimation, 2016 – 2023
8.2.1.5.3.2.Market Forecast, 2024 – 2034
8.2.1.5.4.Middle East and Africa
8.2.1.5.4.1.Market Estimation, 2016 – 2023
8.2.1.5.4.2.Market Forecast, 2024 – 2034
8.2.1.5.5.Latin America
8.2.1.5.5.1.Market Estimation, 2016 – 2023
8.2.1.5.5.2.Market Forecast, 2024 – 2034
8.2.2.Services
8.2.2.1.Definition
8.2.2.2.Market Estimation and Penetration, 2016 – 2023
8.2.2.3.Market Forecast, 2024 – 2034
8.2.2.4.Compound Annual Growth Rate (CAGR)
8.2.2.5.Regional Bifurcation
8.2.2.5.1.North America
8.2.2.5.1.1.Market Estimation, 2016 – 2023
8.2.2.5.1.2.Market Forecast, 2024 – 2034
8.2.2.5.2.Europe
8.2.2.5.2.1.Market Estimation, 2016 – 2023
8.2.2.5.2.2.Market Forecast, 2024 – 2034
8.2.2.5.3.Asia Pacific
8.2.2.5.3.1.Market Estimation, 2016 – 2023
8.2.2.5.3.2.Market Forecast, 2024 – 2034
8.2.2.5.4.Middle East and Africa
8.2.2.5.4.1.Market Estimation, 2016 – 2023
8.2.2.5.4.2.Market Forecast, 2024 – 2034
8.2.2.5.5.Latin America
8.2.2.5.5.1.Market Estimation, 2016 – 2023
8.2.2.5.5.2.Market Forecast, 2024 – 2034
8.3.Key Segment for Channeling Investments
8.3.1.By Component
9.Global No-code AI Platform Market Analysis and Forecasts, 2024 – 2034
9.1.Overview
9.2.Global No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
9.2.1.On Premises
9.2.1.1.Definition
9.2.1.2.Market Estimation and Penetration, 2016 – 2023
9.2.1.3.Market Forecast, 2024 – 2034
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, 2016 – 2023
9.2.1.5.1.2.Market Forecast, 2024 – 2034
9.2.1.5.2.Europe
9.2.1.5.2.1.Market Estimation, 2016 – 2023
9.2.1.5.2.2.Market Forecast, 2024 – 2034
9.2.1.5.3.Asia Pacific
9.2.1.5.3.1.Market Estimation, 2016 – 2023
9.2.1.5.3.2.Market Forecast, 2024 – 2034
9.2.1.5.4.Middle East and Africa
9.2.1.5.4.1.Market Estimation, 2016 – 2023
9.2.1.5.4.2.Market Forecast, 2024 – 2034
9.2.1.5.5.Latin America
9.2.1.5.5.1.Market Estimation, 2016 – 2023
9.2.1.5.5.2.Market Forecast, 2024 – 2034
9.2.2.Cloud
9.2.2.1.Definition
9.2.2.2.Market Estimation and Penetration, 2016 – 2023
9.2.2.3.Market Forecast, 2024 – 2034
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, 2016 – 2023
9.2.2.5.1.2.Market Forecast, 2024 – 2034
9.2.2.5.2.Europe
9.2.2.5.2.1.Market Estimation, 2016 – 2023
9.2.2.5.2.2.Market Forecast, 2024 – 2034
9.2.2.5.3.Asia Pacific
9.2.2.5.3.1.Market Estimation, 2016 – 2023
9.2.2.5.3.2.Market Forecast, 2024 – 2034
9.2.2.5.4.Middle East and Africa
9.2.2.5.4.1.Market Estimation, 2016 – 2023
9.2.2.5.4.2.Market Forecast, 2024 – 2034
9.2.2.5.5.Latin America
9.2.2.5.5.1.Market Estimation, 2016 – 2023
9.2.2.5.5.2.Market Forecast, 2024 – 2034
9.3.Key Segment for Channeling Investments
9.3.1.By Deployment Mode
10.Global No-code AI Platform Market Analysis and Forecasts, 2024 – 2034
10.1.Overview
10.2.Global No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
10.2.1.Natural Language Processing (NLP)
10.2.1.1.Definition
10.2.1.2.Market Estimation and Penetration, 2016 – 2023
10.2.1.3.Market Forecast, 2024 – 2034
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, 2016 – 2023
10.2.1.5.1.2.Market Forecast, 2024 – 2034
10.2.1.5.2.Europe
10.2.1.5.2.1.Market Estimation, 2016 – 2023
10.2.1.5.2.2.Market Forecast, 2024 – 2034
10.2.1.5.3.Asia Pacific
10.2.1.5.3.1.Market Estimation, 2016 – 2023
10.2.1.5.3.2.Market Forecast, 2024 – 2034
10.2.1.5.4.Middle East and Africa
10.2.1.5.4.1.Market Estimation, 2016 – 2023
10.2.1.5.4.2.Market Forecast, 2024 – 2034
10.2.1.5.5.Latin America
10.2.1.5.5.1.Market Estimation, 2016 – 2023
10.2.1.5.5.2.Market Forecast, 2024 – 2034
10.2.2.Machine Learning
10.2.2.1.Definition
10.2.2.2.Market Estimation and Penetration, 2016 – 2023
10.2.2.3.Market Forecast, 2024 – 2034
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, 2016 – 2023
10.2.2.5.1.2.Market Forecast, 2024 – 2034
10.2.2.5.2.Europe
10.2.2.5.2.1.Market Estimation, 2016 – 2023
10.2.2.5.2.2.Market Forecast, 2024 – 2034
10.2.2.5.3.Asia Pacific
10.2.2.5.3.1.Market Estimation, 2016 – 2023
10.2.2.5.3.2.Market Forecast, 2024 – 2034
10.2.2.5.4.Middle East and Africa
10.2.2.5.4.1.Market Estimation, 2016 – 2023
10.2.2.5.4.2.Market Forecast, 2024 – 2034
10.2.2.5.5.Latin America
10.2.2.5.5.1.Market Estimation, 2016 – 2023
10.2.2.5.5.2.Market Forecast, 2024 – 2034
10.2.3.Computer Vision
10.2.3.1.Definition
10.2.3.2.Market Estimation and Penetration, 2016 – 2023
10.2.3.3.Market Forecast, 2024 – 2034
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, 2016 – 2023
10.2.3.5.1.2.Market Forecast, 2024 – 2034
10.2.3.5.2.Europe
10.2.3.5.2.1.Market Estimation, 2016 – 2023
10.2.3.5.2.2.Market Forecast, 2024 – 2034
10.2.3.5.3.Asia Pacific
10.2.3.5.3.1.Market Estimation, 2016 – 2023
10.2.3.5.3.2.Market Forecast, 2024 – 2034
10.2.3.5.4.Middle East and Africa
10.2.3.5.4.1.Market Estimation, 2016 – 2023
10.2.3.5.4.2.Market Forecast, 2024 – 2034
10.2.3.5.5.Latin America
10.2.3.5.5.1.Market Estimation, 2016 – 2023
10.2.3.5.5.2.Market Forecast, 2024 – 2034
10.2.4.Others
10.2.4.1.Definition
10.2.4.2.Market Estimation and Penetration, 2016 – 2023
10.2.4.3.Market Forecast, 2024 – 2034
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, 2016 – 2023
10.2.4.5.1.2.Market Forecast, 2024 – 2034
10.2.4.5.2.Europe
10.2.4.5.2.1.Market Estimation, 2016 – 2023
10.2.4.5.2.2.Market Forecast, 2024 – 2034
10.2.4.5.3.Asia Pacific
10.2.4.5.3.1.Market Estimation, 2016 – 2023
10.2.4.5.3.2.Market Forecast, 2024 – 2034
10.2.4.5.4.Middle East and Africa
10.2.4.5.4.1.Market Estimation, 2016 – 2023
10.2.4.5.4.2.Market Forecast, 2024 – 2034
10.2.4.5.5.Latin America
10.2.4.5.5.1.Market Estimation, 2016 – 2023
10.2.4.5.5.2.Market Forecast, 2024 – 2034
10.3.Key Segment for Channeling Investments
10.3.1.By Technology
11.Global No-code AI Platform Market Analysis and Forecasts, 2024 – 2034
11.1.Overview
11.2.Global No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
11.2.1.Startups and Small Companies
11.2.1.1.Definition
11.2.1.2.Market Estimation and Penetration, 2016 – 2023
11.2.1.3.Market Forecast, 2024 – 2034
11.2.1.4.Compound Annual Growth Rate (CAGR)
11.2.1.5.Regional Bifurcation
11.2.1.5.1.North America
11.2.1.5.1.1.Market Estimation, 2016 – 2023
11.2.1.5.1.2.Market Forecast, 2024 – 2034
11.2.1.5.2.Europe
11.2.1.5.2.1.Market Estimation, 2016 – 2023
11.2.1.5.2.2.Market Forecast, 2024 – 2034
11.2.1.5.3.Asia Pacific
11.2.1.5.3.1.Market Estimation, 2016 – 2023
11.2.1.5.3.2.Market Forecast, 2024 – 2034
11.2.1.5.4.Middle East and Africa
11.2.1.5.4.1.Market Estimation, 2016 – 2023
11.2.1.5.4.2.Market Forecast, 2024 – 2034
11.2.1.5.5.Latin America
11.2.1.5.5.1.Market Estimation, 2016 – 2023
11.2.1.5.5.2.Market Forecast, 2024 – 2034
11.2.2.Large Enterprises
11.2.2.1.Definition
11.2.2.2.Market Estimation and Penetration, 2016 – 2023
11.2.2.3.Market Forecast, 2024 – 2034
11.2.2.4.Compound Annual Growth Rate (CAGR)
11.2.2.5.Regional Bifurcation
11.2.2.5.1.North America
11.2.2.5.1.1.Market Estimation, 2016 – 2023
11.2.2.5.1.2.Market Forecast, 2024 – 2034
11.2.2.5.2.Europe
11.2.2.5.2.1.Market Estimation, 2016 – 2023
11.2.2.5.2.2.Market Forecast, 2024 – 2034
11.2.2.5.3.Asia Pacific
11.2.2.5.3.1.Market Estimation, 2016 – 2023
11.2.2.5.3.2.Market Forecast, 2024 – 2034
11.2.2.5.4.Middle East and Africa
11.2.2.5.4.1.Market Estimation, 2016 – 2023
11.2.2.5.4.2.Market Forecast, 2024 – 2034
11.2.2.5.5.Latin America
11.2.2.5.5.1.Market Estimation, 2016 – 2023
11.2.2.5.5.2.Market Forecast, 2024 – 2034
11.3.Key Segment for Channeling Investments
11.3.1.By Organization Size
12.Global No-code AI Platform Market Analysis and Forecasts, 2024 – 2034
12.1.Overview
12.2.Global No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
12.2.1.BFSI
12.2.1.1.Definition
12.2.1.2.Market Estimation and Penetration, 2016 – 2023
12.2.1.3.Market Forecast, 2024 – 2034
12.2.1.4.Compound Annual Growth Rate (CAGR)
12.2.1.5.Regional Bifurcation
12.2.1.5.1.North America
12.2.1.5.1.1.Market Estimation, 2016 – 2023
12.2.1.5.1.2.Market Forecast, 2024 – 2034
12.2.1.5.2.Europe
12.2.1.5.2.1.Market Estimation, 2016 – 2023
12.2.1.5.2.2.Market Forecast, 2024 – 2034
12.2.1.5.3.Asia Pacific
12.2.1.5.3.1.Market Estimation, 2016 – 2023
12.2.1.5.3.2.Market Forecast, 2024 – 2034
12.2.1.5.4.Middle East and Africa
12.2.1.5.4.1.Market Estimation, 2016 – 2023
12.2.1.5.4.2.Market Forecast, 2024 – 2034
12.2.1.5.5.Latin America
12.2.1.5.5.1.Market Estimation, 2016 – 2023
12.2.1.5.5.2.Market Forecast, 2024 – 2034
12.2.2.IT and Telecom
12.2.2.1.Definition
12.2.2.2.Market Estimation and Penetration, 2016 – 2023
12.2.2.3.Market Forecast, 2024 – 2034
12.2.2.4.Compound Annual Growth Rate (CAGR)
12.2.2.5.Regional Bifurcation
12.2.2.5.1.North America
12.2.2.5.1.1.Market Estimation, 2016 – 2023
12.2.2.5.1.2.Market Forecast, 2024 – 2034
12.2.2.5.2.Europe
12.2.2.5.2.1.Market Estimation, 2016 – 2023
12.2.2.5.2.2.Market Forecast, 2024 – 2034
12.2.2.5.3.Asia Pacific
12.2.2.5.3.1.Market Estimation, 2016 – 2023
12.2.2.5.3.2.Market Forecast, 2024 – 2034
12.2.2.5.4.Middle East and Africa
12.2.2.5.4.1.Market Estimation, 2016 – 2023
12.2.2.5.4.2.Market Forecast, 2024 – 2034
12.2.2.5.5.Latin America
12.2.2.5.5.1.Market Estimation, 2016 – 2023
12.2.2.5.5.2.Market Forecast, 2024 – 2034
12.2.3.Retail
12.2.3.1.Definition
12.2.3.2.Market Estimation and Penetration, 2016 – 2023
12.2.3.3.Market Forecast, 2024 – 2034
12.2.3.4.Compound Annual Growth Rate (CAGR)
12.2.3.5.Regional Bifurcation
12.2.3.5.1.North America
12.2.3.5.1.1.Market Estimation, 2016 – 2023
12.2.3.5.1.2.Market Forecast, 2024 – 2034
12.2.3.5.2.Europe
12.2.3.5.2.1.Market Estimation, 2016 – 2023
12.2.3.5.2.2.Market Forecast, 2024 – 2034
12.2.3.5.3.Asia Pacific
12.2.3.5.3.1.Market Estimation, 2016 – 2023
12.2.3.5.3.2.Market Forecast, 2024 – 2034
12.2.3.5.4.Middle East and Africa
12.2.3.5.4.1.Market Estimation, 2016 – 2023
12.2.3.5.4.2.Market Forecast, 2024 – 2034
12.2.3.5.5.Latin America
12.2.3.5.5.1.Market Estimation, 2016 – 2023
12.2.3.5.5.2.Market Forecast, 2024 – 2034
12.2.4.Healthcare
12.2.4.1.Definition
12.2.4.2.Market Estimation and Penetration, 2016 – 2023
12.2.4.3.Market Forecast, 2024 – 2034
12.2.4.4.Compound Annual Growth Rate (CAGR)
12.2.4.5.Regional Bifurcation
12.2.4.5.1.North America
12.2.4.5.1.1.Market Estimation, 2016 – 2023
12.2.4.5.1.2.Market Forecast, 2024 – 2034
12.2.4.5.2.Europe
12.2.4.5.2.1.Market Estimation, 2016 – 2023
12.2.4.5.2.2.Market Forecast, 2024 – 2034
12.2.4.5.3.Asia Pacific
12.2.4.5.3.1.Market Estimation, 2016 – 2023
12.2.4.5.3.2.Market Forecast, 2024 – 2034
12.2.4.5.4.Middle East and Africa
12.2.4.5.4.1.Market Estimation, 2016 – 2023
12.2.4.5.4.2.Market Forecast, 2024 – 2034
12.2.4.5.5.Latin America
12.2.4.5.5.1.Market Estimation, 2016 – 2023
12.2.4.5.5.2.Market Forecast, 2024 – 2034
12.2.5.Manufacturing
12.2.5.1.Definition
12.2.5.2.Market Estimation and Penetration, 2016 – 2023
12.2.5.3.Market Forecast, 2024 – 2034
12.2.5.4.Compound Annual Growth Rate (CAGR)
12.2.5.5.Regional Bifurcation
12.2.5.5.1.North America
12.2.5.5.1.1.Market Estimation, 2016 – 2023
12.2.5.5.1.2.Market Forecast, 2024 – 2034
12.2.5.5.2.Europe
12.2.5.5.2.1.Market Estimation, 2016 – 2023
12.2.5.5.2.2.Market Forecast, 2024 – 2034
12.2.5.5.3.Asia Pacific
12.2.5.5.3.1.Market Estimation, 2016 – 2023
12.2.5.5.3.2.Market Forecast, 2024 – 2034
12.2.5.5.4.Middle East and Africa
12.2.5.5.4.1.Market Estimation, 2016 – 2023
12.2.5.5.4.2.Market Forecast, 2024 – 2034
12.2.5.5.5.Latin America
12.2.5.5.5.1.Market Estimation, 2016 – 2023
12.2.5.5.5.2.Market Forecast, 2024 – 2034
12.2.6.Government
12.2.6.1.Definition
12.2.6.2.Market Estimation and Penetration, 2016 – 2023
12.2.6.3.Market Forecast, 2024 – 2034
12.2.6.4.Compound Annual Growth Rate (CAGR)
12.2.6.5.Regional Bifurcation
12.2.6.5.1.North America
12.2.6.5.1.1.Market Estimation, 2016 – 2023
12.2.6.5.1.2.Market Forecast, 2024 – 2034
12.2.6.5.2.Europe
12.2.6.5.2.1.Market Estimation, 2016 – 2023
12.2.6.5.2.2.Market Forecast, 2024 – 2034
12.2.6.5.3.Asia Pacific
12.2.6.5.3.1.Market Estimation, 2016 – 2023
12.2.6.5.3.2.Market Forecast, 2024 – 2034
12.2.6.5.4.Middle East and Africa
12.2.6.5.4.1.Market Estimation, 2016 – 2023
12.2.6.5.4.2.Market Forecast, 2024 – 2034
12.2.6.5.5.Latin America
12.2.6.5.5.1.Market Estimation, 2016 – 2023
12.2.6.5.5.2.Market Forecast, 2024 – 2034
12.2.7.Education
12.2.7.1.Definition
12.2.7.2.Market Estimation and Penetration, 2016 – 2023
12.2.7.3.Market Forecast, 2024 – 2034
12.2.7.4.Compound Annual Growth Rate (CAGR)
12.2.7.5.Regional Bifurcation
12.2.7.5.1.North America
12.2.7.5.1.1.Market Estimation, 2016 – 2023
12.2.7.5.1.2.Market Forecast, 2024 – 2034
12.2.7.5.2.Europe
12.2.7.5.2.1.Market Estimation, 2016 – 2023
12.2.7.5.2.2.Market Forecast, 2024 – 2034
12.2.7.5.3.Asia Pacific
12.2.7.5.3.1.Market Estimation, 2016 – 2023
12.2.7.5.3.2.Market Forecast, 2024 – 2034
12.2.7.5.4.Middle East and Africa
12.2.7.5.4.1.Market Estimation, 2016 – 2023
12.2.7.5.4.2.Market Forecast, 2024 – 2034
12.2.7.5.5.Latin America
12.2.7.5.5.1.Market Estimation, 2016 – 2023
12.2.7.5.5.2.Market Forecast, 2024 – 2034
12.2.8.Others
12.2.8.1.Definition
12.2.8.2.Market Estimation and Penetration, 2016 – 2023
12.2.8.3.Market Forecast, 2024 – 2034
12.2.8.4.Compound Annual Growth Rate (CAGR)
12.2.8.5.Regional Bifurcation
12.2.8.5.1.North America
12.2.8.5.1.1.Market Estimation, 2016 – 2023
12.2.8.5.1.2.Market Forecast, 2024 – 2034
12.2.8.5.2.Europe
12.2.8.5.2.1.Market Estimation, 2016 – 2023
12.2.8.5.2.2.Market Forecast, 2024 – 2034
12.2.8.5.3.Asia Pacific
12.2.8.5.3.1.Market Estimation, 2016 – 2023
12.2.8.5.3.2.Market Forecast, 2024 – 2034
12.2.8.5.4.Middle East and Africa
12.2.8.5.4.1.Market Estimation, 2016 – 2023
12.2.8.5.4.2.Market Forecast, 2024 – 2034
12.2.8.5.5.Latin America
12.2.8.5.5.1.Market Estimation, 2016 – 2023
12.2.8.5.5.2.Market Forecast, 2024 – 2034
12.3.Key Segment for Channeling Investments
12.3.1.By Industry Vertical
13.North America No-code AI Platform Market Analysis and Forecasts, 2024 – 2034
13.1.Overview
13.1.1.North America No-code AI Platform Market Revenue (US$ Mn)
13.2.North America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
13.2.1.Platform
13.2.2.Services
13.3.North America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
13.3.1.On Premises
13.3.2.Cloud
13.4.North America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
13.4.1.Natural Language Processing (NLP)
13.4.2.Machine Learning
13.4.3.Computer Vision
13.4.4.Others
13.5.North America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
13.5.1.Startups and Small Companies
13.5.2.Large Enterprises
13.6.North America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
13.6.1.BFSI
13.6.2.IT and Telecom
13.6.3.Retail
13.6.4.Healthcare
13.6.5.Manufacturing
13.6.6.Government
13.6.7.Education
13.6.8.Others
13.7.North America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Country
13.7.1.U.S
13.7.1.1.U.S No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
13.7.1.1.1.Platform
13.7.1.1.2.Services
13.7.1.2.U.S No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
13.7.1.2.1.On Premises
13.7.1.2.2.Cloud
13.7.1.3.U.S No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
13.7.1.3.1.Natural Language Processing (NLP)
13.7.1.3.2.Machine Learning
13.7.1.3.3.Computer Vision
13.7.1.3.4.Others
13.7.1.4.U.S No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
13.7.1.4.1.Startups and Small Companies
13.7.1.4.2.Large Enterprises
13.7.1.5.U.S No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
13.7.1.5.1.BFSI
13.7.1.5.2.IT and Telecom
13.7.1.5.3.Retail
13.7.1.5.4.Healthcare
13.7.1.5.5.Manufacturing
13.7.1.5.6.Government
13.7.1.5.7.Education
13.7.1.5.8.Others
13.7.2.Canada
13.7.2.1.Canada No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
13.7.2.1.1.Platform
13.7.2.1.2.Services
13.7.2.2.Canada No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
13.7.2.2.1.On Premises
13.7.2.2.2.Cloud
13.7.2.3.Canada No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
13.7.2.3.1.Natural Language Processing (NLP)
13.7.2.3.2.Machine Learning
13.7.2.3.3.Computer Vision
13.7.2.3.4.Others
13.7.2.4.Canada No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
13.7.2.4.1.Startups and Small Companies
13.7.2.4.2.Large Enterprises
13.7.2.5.Canada No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
13.7.2.5.1.BFSI
13.7.2.5.2.IT and Telecom
13.7.2.5.3.Retail
13.7.2.5.4.Healthcare
13.7.2.5.5.Manufacturing
13.7.2.5.6.Government
13.7.2.5.7.Education
13.7.2.5.8.Others
13.7.3.Mexico
13.7.3.1.Mexico No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
13.7.3.1.1.Platform
13.7.3.1.2.Services
13.7.3.2.Mexico No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
13.7.3.2.1.On Premises
13.7.3.2.2.Cloud
13.7.3.3.Mexico No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
13.7.3.3.1.Natural Language Processing (NLP)
13.7.3.3.2.Machine Learning
13.7.3.3.3.Computer Vision
13.7.3.3.4.Others
13.7.3.4.Mexico No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
13.7.3.4.1.Startups and Small Companies
13.7.3.4.2.Large Enterprises
13.7.3.5.Mexico No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
13.7.3.5.1.BFSI
13.7.3.5.2.IT and Telecom
13.7.3.5.3.Retail
13.7.3.5.4.Healthcare
13.7.3.5.5.Manufacturing
13.7.3.5.6.Government
13.7.3.5.7.Education
13.7.3.5.8.Others
13.7.4.Rest of North America
13.7.4.1.Rest of North America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
13.7.4.1.1.Platform
13.7.4.1.2.Services
13.7.4.2.Rest of North America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
13.7.4.2.1.On Premises
13.7.4.2.2.Cloud
13.7.4.3.Rest of North America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
13.7.4.3.1.Natural Language Processing (NLP)
13.7.4.3.2.Machine Learning
13.7.4.3.3.Computer Vision
13.7.4.3.4.Others
13.7.4.4.Rest of North America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
13.7.4.4.1.Startups and Small Companies
13.7.4.4.2.Large Enterprises
13.7.4.5.Rest of North America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
13.7.4.5.1.BFSI
13.7.4.5.2.IT and Telecom
13.7.4.5.3.Retail
13.7.4.5.4.Healthcare
13.7.4.5.5.Manufacturing
13.7.4.5.6.Government
13.7.4.5.7.Education
13.7.4.5.8.Others
13.8.Key Segment for Channeling Investments
13.8.1.By Country
13.8.2.By Component
13.8.3.By Deployment Mode
13.8.4.By Technology
13.8.5.By Organization Size
13.8.6.By Industry Vertical
14.Europe No-code AI Platform Market Analysis and Forecasts, 2024 – 2034
14.1.Overview
14.1.1.Europe No-code AI Platform Market Revenue (US$ Mn)
14.2.Europe No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
14.2.1.Platform
14.2.2.Services
14.3.Europe No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
14.3.1.On Premises
14.3.2.Cloud
14.4.Europe No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
14.4.1.Natural Language Processing (NLP)
14.4.2.Machine Learning
14.4.3.Computer Vision
14.4.4.Others
14.5.Europe No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
14.5.1.Startups and Small Companies
14.5.2.Large Enterprises
14.6.Europe No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
14.6.1.BFSI
14.6.2.IT and Telecom
14.6.3.Retail
14.6.4.Healthcare
14.6.5.Manufacturing
14.6.6.Government
14.6.7.Education
14.6.8.Others
14.7.Europe No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Country
14.7.1.France
14.7.1.1.France No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
14.7.1.1.1.Platform
14.7.1.1.2.Services
14.7.1.2.France No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
14.7.1.2.1.On Premises
14.7.1.2.2.Cloud
14.7.1.3.France No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
14.7.1.3.1.Natural Language Processing (NLP)
14.7.1.3.2.Machine Learning
14.7.1.3.3.Computer Vision
14.7.1.3.4.Others
14.7.1.4.France No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
14.7.1.4.1.Startups and Small Companies
14.7.1.4.2.Large Enterprises
14.7.1.5.France No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
14.7.1.5.1.BFSI
14.7.1.5.2.IT and Telecom
14.7.1.5.3.Retail
14.7.1.5.4.Healthcare
14.7.1.5.5.Manufacturing
14.7.1.5.6.Government
14.7.1.5.7.Education
14.7.1.5.8.Others
14.7.2.The UK
14.7.2.1.The UK No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
14.7.2.1.1.Platform
14.7.2.1.2.Services
14.7.2.2.The UK No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
14.7.2.2.1.On Premises
14.7.2.2.2.Cloud
14.7.2.3.The UK No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
14.7.2.3.1.Natural Language Processing (NLP)
14.7.2.3.2.Machine Learning
14.7.2.3.3.Computer Vision
14.7.2.3.4.Others
14.7.2.4.The UK No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
14.7.2.4.1.Startups and Small Companies
14.7.2.4.2.Large Enterprises
14.7.2.5.The UK No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
14.7.2.5.1.BFSI
14.7.2.5.2.IT and Telecom
14.7.2.5.3.Retail
14.7.2.5.4.Healthcare
14.7.2.5.5.Manufacturing
14.7.2.5.6.Government
14.7.2.5.7.Education
14.7.2.5.8.Others
14.7.3.Spain
14.7.3.1.Spain No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
14.7.3.1.1.Platform
14.7.3.1.2.Services
14.7.3.2.Spain No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
14.7.3.2.1.On Premises
14.7.3.2.2.Cloud
14.7.3.3.Spain No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
14.7.3.3.1.Natural Language Processing (NLP)
14.7.3.3.2.Machine Learning
14.7.3.3.3.Computer Vision
14.7.3.3.4.Others
14.7.3.4.Spain No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
14.7.3.4.1.Startups and Small Companies
14.7.3.4.2.Large Enterprises
14.7.3.5.Spain No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
14.7.3.5.1.BFSI
14.7.3.5.2.IT and Telecom
14.7.3.5.3.Retail
14.7.3.5.4.Healthcare
14.7.3.5.5.Manufacturing
14.7.3.5.6.Government
14.7.3.5.7.Education
14.7.3.5.8.Others
14.7.4.Germany
14.7.4.1.Germany No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
14.7.4.1.1.Platform
14.7.4.1.2.Services
14.7.4.2.Germany No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
14.7.4.2.1.On Premises
14.7.4.2.2.Cloud
14.7.4.3.Germany No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
14.7.4.3.1.Natural Language Processing (NLP)
14.7.4.3.2.Machine Learning
14.7.4.3.3.Computer Vision
14.7.4.3.4.Others
14.7.4.4.Germany No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
14.7.4.4.1.Startups and Small Companies
14.7.4.4.2.Large Enterprises
14.7.4.5.Germany No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
14.7.4.5.1.BFSI
14.7.4.5.2.IT and Telecom
14.7.4.5.3.Retail
14.7.4.5.4.Healthcare
14.7.4.5.5.Manufacturing
14.7.4.5.6.Government
14.7.4.5.7.Education
14.7.4.5.8.Others
14.7.5.Italy
14.7.5.1.Italy No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
14.7.5.1.1.Platform
14.7.5.1.2.Services
14.7.5.2.Italy No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
14.7.5.2.1.On Premises
14.7.5.2.2.Cloud
14.7.5.3.Italy No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
14.7.5.3.1.Natural Language Processing (NLP)
14.7.5.3.2.Machine Learning
14.7.5.3.3.Computer Vision
14.7.5.3.4.Others
14.7.5.4.Italy No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
14.7.5.4.1.Startups and Small Companies
14.7.5.4.2.Large Enterprises
14.7.5.5.Italy No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
14.7.5.5.1.BFSI
14.7.5.5.2.IT and Telecom
14.7.5.5.3.Retail
14.7.5.5.4.Healthcare
14.7.5.5.5.Manufacturing
14.7.5.5.6.Government
14.7.5.5.7.Education
14.7.5.5.8.Others
14.7.6.Nordic Countries
14.7.6.1.Nordic Countries No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
14.7.6.1.1.Platform
14.7.6.1.2.Services
14.7.6.2.Nordic Countries No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
14.7.6.2.1.On Premises
14.7.6.2.2.Cloud
14.7.6.3.Nordic Countries No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
14.7.6.3.1.Natural Language Processing (NLP)
14.7.6.3.2.Machine Learning
14.7.6.3.3.Computer Vision
14.7.6.3.4.Others
14.7.6.4.Nordic Countries No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
14.7.6.4.1.Startups and Small Companies
14.7.6.4.2.Large Enterprises
14.7.6.5.Nordic Countries No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
14.7.6.5.1.BFSI
14.7.6.5.2.IT and Telecom
14.7.6.5.3.Retail
14.7.6.5.4.Healthcare
14.7.6.5.5.Manufacturing
14.7.6.5.6.Government
14.7.6.5.7.Education
14.7.6.5.8.Others
14.7.6.6.Nordic Countries No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Country
14.7.6.6.1.Denmark
14.7.6.6.2.Finland
14.7.6.6.3.Iceland
14.7.6.6.4.Sweden
14.7.6.6.5.Norway
14.7.7.Benelux Union
14.7.7.1.Benelux Union No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
14.7.7.1.1.Platform
14.7.7.1.2.Services
14.7.7.2.Benelux Union No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
14.7.7.2.1.On Premises
14.7.7.2.2.Cloud
14.7.7.3.Benelux Union No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
14.7.7.3.1.Natural Language Processing (NLP)
14.7.7.3.2.Machine Learning
14.7.7.3.3.Computer Vision
14.7.7.3.4.Others
14.7.7.4.Benelux Union No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
14.7.7.4.1.Startups and Small Companies
14.7.7.4.2.Large Enterprises
14.7.7.5.Benelux Union No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
14.7.7.5.1.BFSI
14.7.7.5.2.IT and Telecom
14.7.7.5.3.Retail
14.7.7.5.4.Healthcare
14.7.7.5.5.Manufacturing
14.7.7.5.6.Government
14.7.7.5.7.Education
14.7.7.5.8.Others
14.7.7.6.Benelux Union No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Country
14.7.7.6.1.Belgium
14.7.7.6.2.The Netherlands
14.7.7.6.3.Luxembourg
14.7.8.Rest of Europe
14.7.8.1.Rest of Europe No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
14.7.8.1.1.Platform
14.7.8.1.2.Services
14.7.8.2.Rest of Europe No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
14.7.8.2.1.On Premises
14.7.8.2.2.Cloud
14.7.8.3.Rest of Europe No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
14.7.8.3.1.Natural Language Processing (NLP)
14.7.8.3.2.Machine Learning
14.7.8.3.3.Computer Vision
14.7.8.3.4.Others
14.7.8.4.Rest of Europe No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
14.7.8.4.1.Startups and Small Companies
14.7.8.4.2.Large Enterprises
14.7.8.5.Rest of Europe No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
14.7.8.5.1.BFSI
14.7.8.5.2.IT and Telecom
14.7.8.5.3.Retail
14.7.8.5.4.Healthcare
14.7.8.5.5.Manufacturing
14.7.8.5.6.Government
14.7.8.5.7.Education
14.7.8.5.8.Others
14.8.Key Segment for Channeling Investments
14.8.1.By Country
14.8.2.By Component
14.8.3.By Deployment Mode
14.8.4.By Technology
14.8.5.By Organization Size
14.8.6.By Industry Vertical
15.Asia Pacific No-code AI Platform Market Analysis and Forecasts, 2024 – 2034
15.1.Overview
15.1.1.Asia Pacific No-code AI Platform Market Revenue (US$ Mn)
15.2.Asia Pacific No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
15.2.1.Platform
15.2.2.Services
15.3.Asia Pacific No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
15.3.1.On Premises
15.3.2.Cloud
15.4.Asia Pacific No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
15.4.1.Natural Language Processing (NLP)
15.4.2.Machine Learning
15.4.3.Computer Vision
15.4.4.Others
15.5.Asia Pacific No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
15.5.1.Startups and Small Companies
15.5.2.Large Enterprises
15.6.Asia Pacific No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
15.6.1.BFSI
15.6.2.IT and Telecom
15.6.3.Retail
15.6.4.Healthcare
15.6.5.Manufacturing
15.6.6.Government
15.6.7.Education
15.6.8.Others
15.7.Asia Pacific No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Country
15.7.1.China
15.7.1.1.China No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
15.7.1.1.1.Platform
15.7.1.1.2.Services
15.7.1.2.China No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
15.7.1.2.1.On Premises
15.7.1.2.2.Cloud
15.7.1.3.China No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
15.7.1.3.1.Natural Language Processing (NLP)
15.7.1.3.2.Machine Learning
15.7.1.3.3.Computer Vision
15.7.1.3.4.Others
15.7.1.4.China No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
15.7.1.4.1.Startups and Small Companies
15.7.1.4.2.Large Enterprises
15.7.1.5.China No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
15.7.1.5.1.BFSI
15.7.1.5.2.IT and Telecom
15.7.1.5.3.Retail
15.7.1.5.4.Healthcare
15.7.1.5.5.Manufacturing
15.7.1.5.6.Government
15.7.1.5.7.Education
15.7.1.5.8.Others
15.7.2.Japan
15.7.2.1.Japan No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
15.7.2.1.1.Platform
15.7.2.1.2.Services
15.7.2.2.Japan No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
15.7.2.2.1.On Premises
15.7.2.2.2.Cloud
15.7.2.3.Japan No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
15.7.2.3.1.Natural Language Processing (NLP)
15.7.2.3.2.Machine Learning
15.7.2.3.3.Computer Vision
15.7.2.3.4.Others
15.7.2.4.Japan No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
15.7.2.4.1.Startups and Small Companies
15.7.2.4.2.Large Enterprises
15.7.2.5.Japan No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
15.7.2.5.1.BFSI
15.7.2.5.2.IT and Telecom
15.7.2.5.3.Retail
15.7.2.5.4.Healthcare
15.7.2.5.5.Manufacturing
15.7.2.5.6.Government
15.7.2.5.7.Education
15.7.2.5.8.Others
15.7.3.India
15.7.3.1.India No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
15.7.3.1.1.Platform
15.7.3.1.2.Services
15.7.3.2.India No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
15.7.3.2.1.On Premises
15.7.3.2.2.Cloud
15.7.3.3.India No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
15.7.3.3.1.Natural Language Processing (NLP)
15.7.3.3.2.Machine Learning
15.7.3.3.3.Computer Vision
15.7.3.3.4.Others
15.7.3.4.India No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
15.7.3.4.1.Startups and Small Companies
15.7.3.4.2.Large Enterprises
15.7.3.5.India No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
15.7.3.5.1.BFSI
15.7.3.5.2.IT and Telecom
15.7.3.5.3.Retail
15.7.3.5.4.Healthcare
15.7.3.5.5.Manufacturing
15.7.3.5.6.Government
15.7.3.5.7.Education
15.7.3.5.8.Others
15.7.4.New Zealand
15.7.4.1.New Zealand No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
15.7.4.1.1.Platform
15.7.4.1.2.Services
15.7.4.2.New Zealand No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
15.7.4.2.1.On Premises
15.7.4.2.2.Cloud
15.7.4.3.New Zealand No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
15.7.4.3.1.Natural Language Processing (NLP)
15.7.4.3.2.Machine Learning
15.7.4.3.3.Computer Vision
15.7.4.3.4.Others
15.7.4.4.New Zealand No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
15.7.4.4.1.Startups and Small Companies
15.7.4.4.2.Large Enterprises
15.7.4.5.New Zealand No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
15.7.4.5.1.BFSI
15.7.4.5.2.IT and Telecom
15.7.4.5.3.Retail
15.7.4.5.4.Healthcare
15.7.4.5.5.Manufacturing
15.7.4.5.6.Government
15.7.4.5.7.Education
15.7.4.5.8.Others
15.7.5.Australia
15.7.5.1.Australia No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
15.7.5.1.1.Platform
15.7.5.1.2.Services
15.7.5.2.Australia No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
15.7.5.2.1.On Premises
15.7.5.2.2.Cloud
15.7.5.3.Australia No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
15.7.5.3.1.Natural Language Processing (NLP)
15.7.5.3.2.Machine Learning
15.7.5.3.3.Computer Vision
15.7.5.3.4.Others
15.7.5.4.Australia No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
15.7.5.4.1.Startups and Small Companies
15.7.5.4.2.Large Enterprises
15.7.5.5.Australia No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
15.7.5.5.1.BFSI
15.7.5.5.2.IT and Telecom
15.7.5.5.3.Retail
15.7.5.5.4.Healthcare
15.7.5.5.5.Manufacturing
15.7.5.5.6.Government
15.7.5.5.7.Education
15.7.5.5.8.Others
15.7.6.South Korea
15.7.6.1.South Korea No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
15.7.6.1.1.Platform
15.7.6.1.2.Services
15.7.6.2.South Korea No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
15.7.6.2.1.On Premises
15.7.6.2.2.Cloud
15.7.6.3.South Korea No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
15.7.6.3.1.Natural Language Processing (NLP)
15.7.6.3.2.Machine Learning
15.7.6.3.3.Computer Vision
15.7.6.3.4.Others
15.7.6.4.South Korea No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
15.7.6.4.1.Startups and Small Companies
15.7.6.4.2.Large Enterprises
15.7.6.5.South Korea No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
15.7.6.5.1.BFSI
15.7.6.5.2.IT and Telecom
15.7.6.5.3.Retail
15.7.6.5.4.Healthcare
15.7.6.5.5.Manufacturing
15.7.6.5.6.Government
15.7.6.5.7.Education
15.7.6.5.8.Others
15.7.7.Southeast Asia
15.7.7.1.Southeast Asia No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
15.7.7.1.1.Platform
15.7.7.1.2.Services
15.7.7.2.Southeast Asia No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
15.7.7.2.1.On Premises
15.7.7.2.2.Cloud
15.7.7.3.Southeast Asia No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
15.7.7.3.1.Natural Language Processing (NLP)
15.7.7.3.2.Machine Learning
15.7.7.3.3.Computer Vision
15.7.7.3.4.Others
15.7.7.4.Southeast Asia No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
15.7.7.4.1.Startups and Small Companies
15.7.7.4.2.Large Enterprises
15.7.7.5.Southeast Asia No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
15.7.7.5.1.BFSI
15.7.7.5.2.IT and Telecom
15.7.7.5.3.Retail
15.7.7.5.4.Healthcare
15.7.7.5.5.Manufacturing
15.7.7.5.6.Government
15.7.7.5.7.Education
15.7.7.5.8.Others
15.7.7.6.Southeast Asia No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Country
15.7.7.6.1.Indonesia
15.7.7.6.2.Thailand
15.7.7.6.3.Malaysia
15.7.7.6.4.Singapore
15.7.7.6.5.Rest of Southeast Asia
15.7.8.Rest of Asia Pacific
15.7.8.1.Rest of Asia Pacific No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
15.7.8.1.1.Platform
15.7.8.1.2.Services
15.7.8.2.Rest of Asia Pacific No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
15.7.8.2.1.On Premises
15.7.8.2.2.Cloud
15.7.8.3.Rest of Asia Pacific No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
15.7.8.3.1.Natural Language Processing (NLP)
15.7.8.3.2.Machine Learning
15.7.8.3.3.Computer Vision
15.7.8.3.4.Others
15.7.8.4.Rest of Asia Pacific No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
15.7.8.4.1.Startups and Small Companies
15.7.8.4.2.Large Enterprises
15.7.8.5.Rest of Asia Pacific No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
15.7.8.5.1.BFSI
15.7.8.5.2.IT and Telecom
15.7.8.5.3.Retail
15.7.8.5.4.Healthcare
15.7.8.5.5.Manufacturing
15.7.8.5.6.Government
15.7.8.5.7.Education
15.7.8.5.8.Others
15.8.Key Segment for Channeling Investments
15.8.1.By Country
15.8.2.By Component
15.8.3.By Deployment Mode
15.8.4.By Technology
15.8.5.By Organization Size
15.8.6.By Industry Vertical
16.Middle East and Africa No-code AI Platform Market Analysis and Forecasts, 2024 – 2034
16.1.Overview
16.1.1.Middle East and Africa No-code AI Platform Market Revenue (US$ Mn)
16.2.Middle East and Africa No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
16.2.1.Platform
16.2.2.Services
16.3.Middle East and Africa No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
16.3.1.On Premises
16.3.2.Cloud
16.4.Middle East and Africa No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
16.4.1.Natural Language Processing (NLP)
16.4.2.Machine Learning
16.4.3.Computer Vision
16.4.4.Others
16.5.Middle East and Africa No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
16.5.1.Startups and Small Companies
16.5.2.Large Enterprises
16.6.Middle East and Africa No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
16.6.1.BFSI
16.6.2.IT and Telecom
16.6.3.Retail
16.6.4.Healthcare
16.6.5.Manufacturing
16.6.6.Government
16.6.7.Education
16.6.8.Others
16.7.Middle East and Africa No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Country
16.7.1.Saudi Arabia
16.7.1.1.Saudi Arabia No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
16.7.1.1.1.Platform
16.7.1.1.2.Services
16.7.1.2.Saudi Arabia No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
16.7.1.2.1.On Premises
16.7.1.2.2.Cloud
16.7.1.3.Saudi Arabia No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
16.7.1.3.1.Natural Language Processing (NLP)
16.7.1.3.2.Machine Learning
16.7.1.3.3.Computer Vision
16.7.1.3.4.Others
16.7.1.4.Saudi Arabia No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
16.7.1.4.1.Startups and Small Companies
16.7.1.4.2.Large Enterprises
16.7.1.5.Saudi Arabia No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
16.7.1.5.1.BFSI
16.7.1.5.2.IT and Telecom
16.7.1.5.3.Retail
16.7.1.5.4.Healthcare
16.7.1.5.5.Manufacturing
16.7.1.5.6.Government
16.7.1.5.7.Education
16.7.1.5.8.Others
16.7.2.UAE
16.7.2.1.UAE No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
16.7.2.1.1.Platform
16.7.2.1.2.Services
16.7.2.2.UAE No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
16.7.2.2.1.On Premises
16.7.2.2.2.Cloud
16.7.2.3.UAE No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
16.7.2.3.1.Natural Language Processing (NLP)
16.7.2.3.2.Machine Learning
16.7.2.3.3.Computer Vision
16.7.2.3.4.Others
16.7.2.4.UAE No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
16.7.2.4.1.Startups and Small Companies
16.7.2.4.2.Large Enterprises
16.7.2.5.UAE No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
16.7.2.5.1.BFSI
16.7.2.5.2.IT and Telecom
16.7.2.5.3.Retail
16.7.2.5.4.Healthcare
16.7.2.5.5.Manufacturing
16.7.2.5.6.Government
16.7.2.5.7.Education
16.7.2.5.8.Others
16.7.3.Egypt
16.7.3.1.Egypt No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
16.7.3.1.1.Platform
16.7.3.1.2.Services
16.7.3.2.Egypt No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
16.7.3.2.1.On Premises
16.7.3.2.2.Cloud
16.7.3.3.Egypt No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
16.7.3.3.1.Natural Language Processing (NLP)
16.7.3.3.2.Machine Learning
16.7.3.3.3.Computer Vision
16.7.3.3.4.Others
16.7.3.4.Egypt No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
16.7.3.4.1.Startups and Small Companies
16.7.3.4.2.Large Enterprises
16.7.3.5.Egypt No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
16.7.3.5.1.BFSI
16.7.3.5.2.IT and Telecom
16.7.3.5.3.Retail
16.7.3.5.4.Healthcare
16.7.3.5.5.Manufacturing
16.7.3.5.6.Government
16.7.3.5.7.Education
16.7.3.5.8.Others
16.7.4.Kuwait
16.7.4.1.Kuwait No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
16.7.4.1.1.Platform
16.7.4.1.2.Services
16.7.4.2.Kuwait No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
16.7.4.2.1.On Premises
16.7.4.2.2.Cloud
16.7.4.3.Kuwait No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
16.7.4.3.1.Natural Language Processing (NLP)
16.7.4.3.2.Machine Learning
16.7.4.3.3.Computer Vision
16.7.4.3.4.Others
16.7.4.4.Kuwait No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
16.7.4.4.1.Startups and Small Companies
16.7.4.4.2.Large Enterprises
16.7.4.5.Kuwait No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
16.7.4.5.1.BFSI
16.7.4.5.2.IT and Telecom
16.7.4.5.3.Retail
16.7.4.5.4.Healthcare
16.7.4.5.5.Manufacturing
16.7.4.5.6.Government
16.7.4.5.7.Education
16.7.4.5.8.Others
16.7.5.South Africa
16.7.5.1.South Africa No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
16.7.5.1.1.Platform
16.7.5.1.2.Services
16.7.5.2.South Africa No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
16.7.5.2.1.On Premises
16.7.5.2.2.Cloud
16.7.5.3.South Africa No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
16.7.5.3.1.Natural Language Processing (NLP)
16.7.5.3.2.Machine Learning
16.7.5.3.3.Computer Vision
16.7.5.3.4.Others
16.7.5.4.South Africa No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
16.7.5.4.1.Startups and Small Companies
16.7.5.4.2.Large Enterprises
16.7.5.5.South Africa No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
16.7.5.5.1.BFSI
16.7.5.5.2.IT and Telecom
16.7.5.5.3.Retail
16.7.5.5.4.Healthcare
16.7.5.5.5.Manufacturing
16.7.5.5.6.Government
16.7.5.5.7.Education
16.7.5.5.8.Others
16.7.6.Rest of Middle East & Africa
16.7.6.1.Rest of Middle East & Africa No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
16.7.6.1.1.Platform
16.7.6.1.2.Services
16.7.6.2.Rest of Middle East & Africa No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
16.7.6.2.1.On Premises
16.7.6.2.2.Cloud
16.7.6.3.Rest of Middle East & Africa No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
16.7.6.3.1.Natural Language Processing (NLP)
16.7.6.3.2.Machine Learning
16.7.6.3.3.Computer Vision
16.7.6.3.4.Others
16.7.6.4.Rest of Middle East & Africa No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
16.7.6.4.1.Startups and Small Companies
16.7.6.4.2.Large Enterprises
16.7.6.5.Rest of Middle East & Africa No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
16.7.6.5.1.BFSI
16.7.6.5.2.IT and Telecom
16.7.6.5.3.Retail
16.7.6.5.4.Healthcare
16.7.6.5.5.Manufacturing
16.7.6.5.6.Government
16.7.6.5.7.Education
16.7.6.5.8.Others
16.8.Key Segment for Channeling Investments
16.8.1.By Country
16.8.2.By Component
16.8.3.By Deployment Mode
16.8.4.By Technology
16.8.5.By Organization Size
16.8.6.By Industry Vertical
17.Latin America No-code AI Platform Market Analysis and Forecasts, 2024 – 2034
17.1.Overview
17.1.1.Latin America No-code AI Platform Market Revenue (US$ Mn)
17.2.Latin America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
17.2.1.Platform
17.2.2.Services
17.3.Latin America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
17.3.1.On Premises
17.3.2.Cloud
17.4.Latin America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
17.4.1.Natural Language Processing (NLP)
17.4.2.Machine Learning
17.4.3.Computer Vision
17.4.4.Others
17.5.Latin America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
17.5.1.Startups and Small Companies
17.5.2.Large Enterprises
17.6.Latin America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
17.6.1.BFSI
17.6.2.IT and Telecom
17.6.3.Retail
17.6.4.Healthcare
17.6.5.Manufacturing
17.6.6.Government
17.6.7.Education
17.6.8.Others
17.7.Latin America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Country
17.7.1.Brazil
17.7.1.1.Brazil No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
17.7.1.1.1.Platform
17.7.1.1.2.Services
17.7.1.2.Brazil No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
17.7.1.2.1.On Premises
17.7.1.2.2.Cloud
17.7.1.3.Brazil No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
17.7.1.3.1.Natural Language Processing (NLP)
17.7.1.3.2.Machine Learning
17.7.1.3.3.Computer Vision
17.7.1.3.4.Others
17.7.1.4.Brazil No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
17.7.1.4.1.Startups and Small Companies
17.7.1.4.2.Large Enterprises
17.7.1.5.Brazil No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
17.7.1.5.1.BFSI
17.7.1.5.2.IT and Telecom
17.7.1.5.3.Retail
17.7.1.5.4.Healthcare
17.7.1.5.5.Manufacturing
17.7.1.5.6.Government
17.7.1.5.7.Education
17.7.1.5.8.Others
17.7.2.Argentina
17.7.2.1.Argentina No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
17.7.2.1.1.Platform
17.7.2.1.2.Services
17.7.2.2.Argentina No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
17.7.2.2.1.On Premises
17.7.2.2.2.Cloud
17.7.2.3.Argentina No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
17.7.2.3.1.Natural Language Processing (NLP)
17.7.2.3.2.Machine Learning
17.7.2.3.3.Computer Vision
17.7.2.3.4.Others
17.7.2.4.Argentina No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
17.7.2.4.1.Startups and Small Companies
17.7.2.4.2.Large Enterprises
17.7.2.5.Argentina No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
17.7.2.5.1.BFSI
17.7.2.5.2.IT and Telecom
17.7.2.5.3.Retail
17.7.2.5.4.Healthcare
17.7.2.5.5.Manufacturing
17.7.2.5.6.Government
17.7.2.5.7.Education
17.7.2.5.8.Others
17.7.3.Rest of Latin America
17.7.3.1.Rest of Latin America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Component
17.7.3.1.1.Platform
17.7.3.1.2.Services
17.7.3.2.Rest of Latin America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Deployment Mode
17.7.3.2.1.On Premises
17.7.3.2.2.Cloud
17.7.3.3.Rest of Latin America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Technology
17.7.3.3.1.Natural Language Processing (NLP)
17.7.3.3.2.Machine Learning
17.7.3.3.3.Computer Vision
17.7.3.3.4.Others
17.7.3.4.Rest of Latin America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Organization Size
17.7.3.4.1.Startups and Small Companies
17.7.3.4.2.Large Enterprises
17.7.3.5.Rest of Latin America No-code AI Platform Market Revenue (US$ Mn) and Forecasts, By Industry Vertical
17.7.3.5.1.BFSI
17.7.3.5.2.IT and Telecom
17.7.3.5.3.Retail
17.7.3.5.4.Healthcare
17.7.3.5.5.Manufacturing
17.7.3.5.6.Government
17.7.3.5.7.Education
17.7.3.5.8.Others
17.8.Key Segment for Channeling Investments
17.8.1.By Country
17.8.2.By Component
17.8.3.By Deployment Mode
17.8.4.By Technology
17.8.5.By Organization Size
17.8.6.By Industry Vertical
18.Competitive Benchmarking
18.1.Brand Benchmarking
18.2.Market Share Analysis, 2023
18.3.Global Presence and Growth Strategies
18.3.1.Mergers and Acquisitions
18.3.2.Product Launches
18.3.3.Investments Trends
18.3.4.R&D Initiatives
19.Player Profiles
19.1.AgilePoint Inc
19.1.1.Company Details
19.1.2.Company Overview
19.1.3.Product Offerings
19.1.4.Key Developments
19.1.5.Financial Analysis
19.1.6.SWOT Analysis
19.1.7.Business Strategies
19.2.Akkio Inc.
19.2.1.Company Details
19.2.2.Company Overview
19.2.3.Product Offerings
19.2.4.Key Developments
19.2.5.Financial Analysis
19.2.6.SWOT Analysis
19.2.7.Business Strategies
19.3.Amazon.com, Inc.
19.3.1.Company Details
19.3.2.Company Overview
19.3.3.Product Offerings
19.3.4.Key Developments
19.3.5.Financial Analysis
19.3.6.SWOT Analysis
19.3.7.Business Strategies
19.4.Apple Inc.
19.4.1.Company Details
19.4.2.Company Overview
19.4.3.Product Offerings
19.4.4.Key Developments
19.4.5.Financial Analysis
19.4.6.SWOT Analysis
19.4.7.Business Strategies
19.5.Caspio, Inc. 
19.5.1.Company Details
19.5.2.Company Overview
19.5.3.Product Offerings
19.5.4.Key Developments
19.5.5.Financial Analysis
19.5.6.SWOT Analysis
19.5.7.Business Strategies
19.6.Clarifai, Inc. 
19.6.1.Company Details
19.6.2.Company Overview
19.6.3.Product Offerings
19.6.4.Key Developments
19.6.5.Financial Analysis
19.6.6.SWOT Analysis
19.6.7.Business Strategies
19.7.DataRobot, Inc.
19.7.1.Company Details
19.7.2.Company Overview
19.7.3.Product Offerings
19.7.4.Key Developments
19.7.5.Financial Analysis
19.7.6.SWOT Analysis
19.7.7.Business Strategies
19.8.Google LLC
19.8.1.Company Details
19.8.2.Company Overview
19.8.3.Product Offerings
19.8.4.Key Developments
19.8.5.Financial Analysis
19.8.6.SWOT Analysis
19.8.7.Business Strategies
19.9.Intersect Labs
19.9.1.Company Details
19.9.2.Company Overview
19.9.3.Product Offerings
19.9.4.Key Developments
19.9.5.Financial Analysis
19.9.6.SWOT Analysis
19.9.7.Business Strategies
19.10.Levity AI GmbH
19.10.1.Company Details
19.10.2.Company Overview
19.10.3.Product Offerings
19.10.4.Key Developments
19.10.5.Financial Analysis
19.10.6.SWOT Analysis
19.10.7.Business Strategies
19.11.Microsoft
19.11.1.Company Details
19.11.2.Company Overview
19.11.3.Product Offerings
19.11.4.Key Developments
19.11.5.Financial Analysis
19.11.6.SWOT Analysis
19.11.7.Business Strategies
19.12.MonkeyLearn
19.12.1.Company Details
19.12.2.Company Overview
19.12.3.Product Offerings
19.12.4.Key Developments
19.12.5.Financial Analysis
19.12.6.SWOT Analysis
19.12.7.Business Strategies
19.13.Quickbase, Inc.
19.13.1.Company Details
19.13.2.Company Overview
19.13.3.Product Offerings
19.13.4.Key Developments
19.13.5.Financial Analysis
19.13.6.SWOT Analysis
19.13.7.Business Strategies
19.14.Other Industry Participants
20.Key Findings

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Note: This ToC is tentative and can be changed according to the research study conducted during the course of report completion.

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Global No-code AI Platform Market

By Component

  • Platform
  • Services

By Deployment Mode

  • On Premises
  • Cloud

By Technology

  • Natural Language Processing (NLP)
  • Machine Learning
  • Computer Vision
  • Others

By Organization Size

  • Startups and Small Companies
  • Large Enterprises

By Industry Vertical

  • BFSI
  • IT & Telecom
  • Retail
  • Healthcare
  • Manufacturing
  • Government
  • Education
  • Others

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)

.

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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