This report describes and explains the AI training dataset market and covers 2019-2024, termed the historic period, and 2024-2029, 2034F termed the forecast period. The report evaluates the market across each region and for the major economies within each region.
The global AI training dataset market reached a value of nearly $2.62 billion in 2024, having grown at a compound annual growth rate (CAGR) of 21.97% since 2019. The market is expected to grow from $2.62 billion in 2024 to $7.3 billion in 2029 at a rate of 22.71%. The market is then expected to grow at a CAGR of 20.38% from 2029 and reach $18.47 billion in 2034.
Growth in the historic period resulted from the rise of chatbots and virtual assistants, increased investment in ai research and development, rapid growth of the large language model (LLM) and increased adoption of ai across industries. Factors that negatively affected growth in the historic period were data privacy and security concerns.
Going forward, expansion of e-commerce, rising adoption of ai in content creation, increasing social media platforms, rising demand for autonomous systems and strong economic growth in emerging markets will drive the growth. Factor that could hinder the growth of the AI training dataset market in the future include lack of skilled personnel and technical expertise.
The global AI training dataset market is fairly fragmented, with a large number of players operating in the market. The top ten competitors in the market made up 23.3% of the total market in 2023. Alphabet Inc. (Google LLC) was the largest competitor with a 3.1% share of the market, followed by OpenAI with 3%, Microsoft Corp. with 3%, Oracle Corporation with 2.7%, Amazon.com Inc. with 2.5%, International Business Machines (IBM) Corporation with 2.4%, Appen Limited with 2.4%, Telus International AI Data Solutions with 1.6%, CloudFactory Ltd. with 1.5% and Scale AI Inc. with 1.1%.
The AI training dataset market is segmented by type into text, audio and image/video. The text market was the largest segment of the AI training dataset market segmented by type, accounting for 46.53% or $1.21 billion of the total in 2024. Going forward, the text segment is expected to be the fastest growing segment in the AI training dataset market segmented by type, at a CAGR of 22.65% during 2024-2029.
The AI training dataset market is segmented by deployment mode into on-premise and cloud. The cloud market was the largest segment of the AI training dataset market segmented by blending capacity, accounting for 65.25% or $1.71 billion of the total in 2024. Going forward, the cloud segment is expected to be the fastest growing segment in the AI training dataset market segmented by blending capacity, at a CAGR of 23.91% during 2024-2029.
The AI training dataset market is segmented by end-use industry into automotive, BFSI, IT and telecom, government, retail and e-commerce and other end-use industries. The IT and telecom market was the largest segment of the AI training dataset market segmented by end-use industry, accounting for 30.76% or $807.89 million of the total in 2024. Going forward, the retail and e-commerce segment is expected to be the fastest growing segment in the AI training dataset market segmented by end-use industry, at a CAGR of 25.83% during 2024-2029.
North America was the largest region in the AI training dataset market, accounting for 34.30% or $900.98 million of the total in 2024. It was followed by Asia-Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the AI training dataset market will be Asia-Pacific and North America where growth will be at CAGRs of 24.54% and 22.94% respectively. These will be followed by Western Europe and South America where the markets are expected to grow at CAGRs of 21.84% and 20.56% respectively.
The top opportunities in the AI training dataset market segmented by type will arise in the text segment, which will gain $2.16 billion of global annual sales by 2029. The top opportunities in the AI training dataset market segmented by deployment mode will arise in the cloud segment, which will gain $3.29 billion of global annual sales by 2029. The top opportunities in the AI training dataset market segmented by end-use industry will arise in the IT and telecom segment, which will gain $1.27 billion of global annual sales by 2029. The AI training dataset market size will gain the most in the USA at $1.39 billion.
Market-trend-based strategies for the AI training dataset market include advancements in AI training datasets for enhanced model performance, the role of technology platforms in AI dataset optimization, focus on user-friendly AI tools streamline data preparation processes, innovative approaches to sourcing large-scale ai training data.
Player-adopted strategies in the AI training dataset market include focus on strengthening its business capabilities through new product solutions, new product developments and expanding its operational capabilities through strategic partnerships.
To take advantage of the opportunities, the analyst recommends the AI training dataset companies to focus on developing open datasets, focus on developing innovative technology platforms, focus on developing user-friendly AI tools, focus on the image/video market segment, focus on the cloud market segment, expand in emerging markets, continue to focus on developed markets, focus on strategic partnerships for diverse datasets, provide competitively priced offerings, continue to use B2B promotions, participate in trade shows and events and focus on the retail and e-commerce market segment.
The global AI training dataset market reached a value of nearly $2.62 billion in 2024, having grown at a compound annual growth rate (CAGR) of 21.97% since 2019. The market is expected to grow from $2.62 billion in 2024 to $7.3 billion in 2029 at a rate of 22.71%. The market is then expected to grow at a CAGR of 20.38% from 2029 and reach $18.47 billion in 2034.
Growth in the historic period resulted from the rise of chatbots and virtual assistants, increased investment in ai research and development, rapid growth of the large language model (LLM) and increased adoption of ai across industries. Factors that negatively affected growth in the historic period were data privacy and security concerns.
Going forward, expansion of e-commerce, rising adoption of ai in content creation, increasing social media platforms, rising demand for autonomous systems and strong economic growth in emerging markets will drive the growth. Factor that could hinder the growth of the AI training dataset market in the future include lack of skilled personnel and technical expertise.
The global AI training dataset market is fairly fragmented, with a large number of players operating in the market. The top ten competitors in the market made up 23.3% of the total market in 2023. Alphabet Inc. (Google LLC) was the largest competitor with a 3.1% share of the market, followed by OpenAI with 3%, Microsoft Corp. with 3%, Oracle Corporation with 2.7%, Amazon.com Inc. with 2.5%, International Business Machines (IBM) Corporation with 2.4%, Appen Limited with 2.4%, Telus International AI Data Solutions with 1.6%, CloudFactory Ltd. with 1.5% and Scale AI Inc. with 1.1%.
The AI training dataset market is segmented by type into text, audio and image/video. The text market was the largest segment of the AI training dataset market segmented by type, accounting for 46.53% or $1.21 billion of the total in 2024. Going forward, the text segment is expected to be the fastest growing segment in the AI training dataset market segmented by type, at a CAGR of 22.65% during 2024-2029.
The AI training dataset market is segmented by deployment mode into on-premise and cloud. The cloud market was the largest segment of the AI training dataset market segmented by blending capacity, accounting for 65.25% or $1.71 billion of the total in 2024. Going forward, the cloud segment is expected to be the fastest growing segment in the AI training dataset market segmented by blending capacity, at a CAGR of 23.91% during 2024-2029.
The AI training dataset market is segmented by end-use industry into automotive, BFSI, IT and telecom, government, retail and e-commerce and other end-use industries. The IT and telecom market was the largest segment of the AI training dataset market segmented by end-use industry, accounting for 30.76% or $807.89 million of the total in 2024. Going forward, the retail and e-commerce segment is expected to be the fastest growing segment in the AI training dataset market segmented by end-use industry, at a CAGR of 25.83% during 2024-2029.
North America was the largest region in the AI training dataset market, accounting for 34.30% or $900.98 million of the total in 2024. It was followed by Asia-Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the AI training dataset market will be Asia-Pacific and North America where growth will be at CAGRs of 24.54% and 22.94% respectively. These will be followed by Western Europe and South America where the markets are expected to grow at CAGRs of 21.84% and 20.56% respectively.
The top opportunities in the AI training dataset market segmented by type will arise in the text segment, which will gain $2.16 billion of global annual sales by 2029. The top opportunities in the AI training dataset market segmented by deployment mode will arise in the cloud segment, which will gain $3.29 billion of global annual sales by 2029. The top opportunities in the AI training dataset market segmented by end-use industry will arise in the IT and telecom segment, which will gain $1.27 billion of global annual sales by 2029. The AI training dataset market size will gain the most in the USA at $1.39 billion.
Market-trend-based strategies for the AI training dataset market include advancements in AI training datasets for enhanced model performance, the role of technology platforms in AI dataset optimization, focus on user-friendly AI tools streamline data preparation processes, innovative approaches to sourcing large-scale ai training data.
Player-adopted strategies in the AI training dataset market include focus on strengthening its business capabilities through new product solutions, new product developments and expanding its operational capabilities through strategic partnerships.
To take advantage of the opportunities, the analyst recommends the AI training dataset companies to focus on developing open datasets, focus on developing innovative technology platforms, focus on developing user-friendly AI tools, focus on the image/video market segment, focus on the cloud market segment, expand in emerging markets, continue to focus on developed markets, focus on strategic partnerships for diverse datasets, provide competitively priced offerings, continue to use B2B promotions, participate in trade shows and events and focus on the retail and e-commerce market segment.
Major Market Trends
- Advancements in AI Training Datasets for Enhanced Model Performance
- The Role of Technology Platforms in AI Dataset Optimization
- Focus on User-Friendly AI Tools Streamline Data Preparation Processes
- Innovative Approaches to Sourcing Large-Scale AI Training Data
Key Mergers and Acquisitions
- Hugging Face Acquired Argilla
- Databricks Acquired MosaicML
- Appen Limited Acquired Quadrant Global Pte Ltd.
Table of Contents
1 Executive Summary
6 Market Characteristics
7 Major Market Trends
8 AI Training Dataset Market - Macro Economic Scenario
9 Global Market Size and Growth
10 Global AI Training Dataset Market Segmentation
11 AI Training Dataset Market, Regional and Country Analysis
12 Asia-Pacific Market
13 Western Europe Market
14 Eastern Europe Market
15 North America Market
16 South America Market
17 Middle East Market
18 Africa Market
19 Competitive Landscape and Company Profiles
20 Other Major and Innovative Companies
23. Key Mergers and Acquisitions
24 Opportunities and Strategies
25 AI Training Dataset Market, Conclusions and Recommendations
26 Appendix
Executive Summary
AI Training Dataset Global Market Opportunities and Strategies to 2034 provides the strategists; marketers and senior management with the critical information they need to assess the global AI training dataset market as it emerges from the COVID-19 shut down.Reasons to Purchase:
- Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
- Understand how the market is being affected by the coronavirus and how it is likely to emerge and grow as the impact of the virus abates.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on the latest market research findings.
- Benchmark performance against key competitors.
- Utilize the relationships between key data sets for superior strategizing.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis.
Description
Where is the largest and fastest-growing market for AI training dataset? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The AI training dataset market global report answers all these questions and many more.The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market’s history and forecasts market growth by geography. It places the market within the context of the wider AI training dataset market; and compares it with other markets.
The report covers the following chapters:
- Introduction and Market Characteristics - Brief introduction to the segmentations covered in the market, definitions and explanations about the segment by type, by deployment mode and by end-use industry.
- Key Trends - Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
- Macro-Economic Scenario - the report provides an analysis of the impact of the COVID-19 pandemic, impact of the Russia-Ukraine war and impact of rising inflation on global and regional markets, providing strategic insights for businesses in the AI training dataset market.
- Global Market Size and Growth - Global historic (2019-2024) and forecast (2024-2029, 2034F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods.
- Regional and Country Analysis - Historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison by region and country.
- Market Segmentation - Contains the market values (2019-2024) (2024-2029, 2034F) and analysis for each segment by type, by deployment mode and by end-use industry in the market. Historic (2019-2024) and forecast (2024-2029) and (2029-2034) market values and growth and market share comparison by region market.
- Regional Market Size and Growth - Regional market size (2024), historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape - Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Other Major and Innovative Companies Details on the company profiles of other major and innovative companies in the market.
- Competitive Benchmarking - Briefs on the financials comparison between major players in the market.
- Competitive Dashboard - Briefs on competitive dashboard of major players.
- Key Mergers and Acquisitions - Information on recent mergers and acquisitions in the market is covered in the report. This section gives key financial details of mergers and acquisitions which have shaped the market in recent years.
- Market Opportunities and Strategies - Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions and Recommendations - This section includes recommendations for AI training dataset providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
- Appendix - This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
Markets Covered:
1) by Type: Text; Audio; Image/Video2) by Deployment Mode: on-Premise; Cloud
3) by End-Use Industry: Automotive; BFSI; IT and Telecom; Government; Retail and E-Commerce; Other End-Use Industries
Key Companies Mentioned: Alphabet Inc. (Google LLC); OpenAI; Microsoft Corp.; Oracle Corporation; Amazon.com Inc.
Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Canada; Brazil; France; Germany; UK; Italy; Spain; Russia
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; AI training dataset indicators comparison.
Data Segmentation: Country and regional historic and forecast data; market share of competitors; market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Companies Mentioned
Some of the major companies featured in this AI Training Dataset market report include:- Alphabet Inc. (Google LLC)
- OpenAI
- Microsoft Corp.
- Oracle Corporation
- Amazon.com Inc.
- International Business Machines (IBM) Corporation
- Appen Limited
- Telus International AI Data Solutions
- CloudFactory Ltd.
- Scale AI Inc.
- RIKEN
- Citadel AI
- Alibaba Group
- ZhiYuan Research Institute
- Civica
- Tokopedia
- Preferred Networks
- Fujitsu
- Samsung SDS
- LG Electronics
- Baidu
- iFlytek
- ByteDance (TikTok)
- Accenture
- Elsevier
- Argilla
- T-Labs (Deutsche Telekom Labs)
- CureMetrix
- Pixmap.ai
- Transaction Network Services
- Rossum
- Neurotechnology
- Cognity
- DeepMind
- Yandex
- Nvidia Corporation
- OctoML, Inc.
- Meta Platforms Inc.
- Palantir Technologies Inc.
- Cohere Inc.
- Salesforce, Inc.
- Digital.ai Software, Inc.
- Splunk Technology
- Cisco Systems, Inc.
- Cogito Tech LLC
- Deep Vision Data
- Lionbridge Technologies, Inc.
- Samasource Inc.
- Ginkgo Bioworks
- Innodata
- TELUS International
- Reka AI
- Satellogic Inc.
- Lionbridge Technologies
- EON Reality
- Watad
- Clickworker GmbH
- Sensi.AI
- Deloitte
- Agility
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 296 |
| Published | February 2025 |
| Forecast Period | 2024 - 2034 |
| Estimated Market Value ( USD | $ 2.62 Billion |
| Forecasted Market Value ( USD | $ 18.47 Billion |
| Compound Annual Growth Rate | 21.5% |
| Regions Covered | Global |
| No. of Companies Mentioned | 62 |
