AI Training Dataset Market – Global Forecast to 2029
The market for AI training datasets is expected to increase from USD 2.82 billion in 2024 to USD 9.58 billion in 2029, experiencing a compound annual growth rate (CAGR) of 27.7% from 2024 to 2029.
AIトレーニングデータセットの市場は、2024 年の 28 億 2000 万米ドルから 2029 年には 95 億 8000 万米ドルに増加し、2024 年から 2029 年までの年間平均成長率 (CAGR) は 27.7% になると予想されています。
The report includes the study of key players offering AI training dataset solutions. It profiles major vendors in the AI training dataset market. The major players in the AI training dataset market include Google (US), IBM (US), AWS (US), Microsoft (US), NVIDIA (US), Snorkel (US), Gretel (US), Shaip (US), Clickworker (US), Appen (Australia), Nexdata (US), Bitext (US), Aimleap (US), Deep Vision Data (US), Cogito Tech (US), Sama (US), Scale AI (US), Lionbridge Technologies (US), Alegion (US), TELUS International (Canada), iMerit (US), Labelbox (US), V7Labs (UK), Defined.ai (US), SuperAnnotate (US), LXT (Canada), Toloka AI (Netherlands), Innodata (US), Kili technology (France), HumanSignal (US), Superb AI (US), Hugging Face (US), CloudFactory (UK), FileMarket (Hong Kong), TagX (UAE), Roboflow (US), Supervise.ly (Estonia), Encord (UK), TransPerfect (US), Keylabs (Israel), and Data.world (US).
The report provides insights on the following pointers:
- Analysis of key drivers (increasing demand for diverse and continuously updated multimodal datasets for generative AI models, rising demand for multilingual datasets for conversational AI, demand for high-quality labeled data for autonomous vehicles, and Increased used of synthetic data for rare event simulation), restraints (legal risks of web-scraped data due to copyright infringement and limited access to high-quality medical datasets due to HIPAA compliance), opportunities (growing demand for specialized data annotation services in diverse fields, synthetic data generation and privacy-preserving techniques for augmented training data, and creation of customized AI Datasets and specialized formats (3D, AR/VR) for Enterprise Solutions), and challenges (data quality and relevance issues like inconsistency, bias, keeping datasets up to date, and diverse dataset formats and inconsistent annotation practices may hinder integration and reliability).
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI training dataset market.
- Market Development: Comprehensive information about lucrative markets – the report analyses the AI training dataset market across varied regions.
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI training dataset market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Google (US), IBM (US), AWS (US), Microsoft (US), NVIDIA (US), Snorkel (US), Gretel (US), Shaip (US), Clickworker (US), Appen (Australia), Nexdata (US), Bitext (US), Aimleap (US), Deep Vision Data (US), Cogito Tech (US), Sama (US), Scale AI (US), Lionbridge Technologies (US), Alegion (US), TELUS International (Canada), iMerit (US), Labelbox (US), V7Labs (UK), Defined.ai (US), SuperAnnotate (US), LXT (Canada), Toloka AI (Netherlands), Innodata (US), Kili technology (France), HumanSignal (US), Superb AI (US), Hugging Face (US), CloudFactory (UK), FileMarket (Hong Kong), TagX (UAE), Roboflow (US), Supervise.ly (Estonia), Encord (UK), TransPerfect (US), Keylabs (Israel), and Data.world (US) among others in the AI training dataset market. The report also helps stakeholders understand the pulse of the AI training dataset market and provides them with information on key market drivers, restraints, challenges, and opportunities.