The AI Training Dataset Market is expanding quickly due to the increasing need for high-quality datasets to train AI and machine learning models across industries like healthcare, automotive, and IT.
Pune, Dec. 11, 2024 (GLOBE NEWSWIRE) — AI Training Dataset Market Size Analysis:
“The
Major Players Analysis Listed in this Report are:
- Amazon Web Services Inc. (Amazon SageMaker Ground Truth, Labeling Services)
- Scale AI, Inc. (Data Labeling Platform, Sensor Fusion for Autonomous Vehicles)
- Deep Vision Data (Custom AI Training Data Solutions)
- Cogito Tech LLC (Image and Video Annotation, Text Data Labeling)
- Google LLC (Google Cloud AutoML, Dataset Search)
- Lionbridge Technologies, Inc. (AI Training Data Services, Multilingual Data Annotation)
- Alegion (Data Labeling and Annotation Tools, Video Annotation for Autonomous Vehicles)
- Microsoft Corporation (Azure Machine Learning, Custom Vision AI)
- Samasource Inc. (Data Annotation and Validation Services for AI)
- Appen Limited (Image and Speech Data Collection, Crowdsourced Annotation)
- iMerit Technology Services (Image Annotation, NLP Training Data)
- Figure Eight Inc. (Human-in-the-Loop Data Annotation Platform)
- Reality AI (Sensor Data Labeling for Industrial Applications)
- Playment (3D Bounding Boxes, Sensor Fusion Labeling for Autonomous Vehicles)
- Mighty AI (Computer Vision Training Datasets for Autonomous Vehicles)
- Trilldata Technologies (AI Data Engineering and Dataset Preparation)
- Clarifai (AI Model Training, Image and Video Annotation)
- Datasaur (Text Annotation and NLP Training Data)
- Labelbox, Inc. (AI Data Labeling and Collaboration Platform)
- V7 Labs (Image and Video Dataset Preparation, Automated Labeling Tools)
AI Training Dataset Market Report Scope:
| Report Attributes | Details |
| Market Size in 2023 | US$ 2.23 Bn |
| Market Size by 2032 | US$ 14.67 Bn |
| CAGR | CAGR of 23.28% from 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Key Regional Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe [Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]). Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
| Key Growth Drivers | • The growing adoption of AI across industries like healthcare, automotive, retail, and financial services is fueling the demand for high-quality, domain-specific training datasets. |
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AI Training Dataset Market: Image/Video Segment Leads with 42% Share in 2023
The Image/Video segment held the largest share of over 42% in the AI Training Dataset Market in 2023. This dominance is due to the essential role of image and video datasets in training AI models for a variety of applications, such as object and facial recognition, and autonomous vehicle navigation. As industries like healthcare, security, and customer analytics increasingly adopt AI, the need for visual data to accurately process and interpret visual information grows. This trend is expected to continue as AI technologies evolve, reinforcing the demand for high-quality image and video datasets to power AI models.
The IT segment dominated with the market share over 32% in 2023, driven by the expanding use of AI in areas such as predictive analytics, cybersecurity, and cloud computing. The growing adoption of AI-powered technologies requires large-scale datasets to optimize deep learning models.
AI Training Dataset Market Segmentation:
By Type
- Text
- Image/Video
- Audio
By Vertical
- IT
- Automotive
- Government
- Healthcare
- Audio
- Retail & E-commerce
- Others
Regional Dynamics in the AI Training Dataset Market: North America’s Dominance and Asia Pacific’s Rapid Growth
In 2023, North America held over 35% of the AI Training Dataset Market share, driven by major tech companies such as Google, Microsoft, and Amazon. These companies lead AI and machine learning innovation, with substantial investments in AI technologies, increasing the demand for high-quality training datasets. North America’s advanced infrastructure, strong research and development focus, and favorable regulatory environment further enhance its position as a global leader in AI innovation. This combination of resources and industry leadership has made the region a key player in driving the growth of the AI training dataset market.
Asia Pacific is the fastest-growing region in the AI Training Dataset Market, with China, India, and Japan leading investments in AI through government initiatives, research funding, and a booming AI startup ecosystem. The rapid adoption of AI technologies across sectors like healthcare, automotive, and retail is driving the need for high-quality, diverse datasets. The demand is particularly spurred by AI-based healthcare applications, such as diagnostics, and the expansion of autonomous vehicle technology.
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Recent Development
In September 2024: Innodata launched its AI Data Marketplace, an innovative platform offering on-demand datasets specifically designed to facilitate the training of AI/ML models. The marketplace, which focuses on curated synthetic document datasets and has plans for expansion, aims to help data science teams address challenges related to data volume, variety, and privacy.
In January 2024: NVIDIA introduced the Nemotron-4 340B, an open model family enabling developers to generate synthetic data for training large language models (LLMs) across various industries. These models are optimized for use with NVIDIA NeMo, an open-source framework for end-to-end model training, and NVIDIA TensorRT-LLM, ensuring efficient inference at scale.
Table of Contents – Major Key Points
1. Introduction
2. Executive Summary
3. Research Methodology
4. Market Dynamics Impact Analysis
5. Statistical Insights and Trends Reporting
6. Competitive Landscape
7. AI Training Dataset Market Segmentation, By Type
8. AI Training Dataset Market Segmentation, By Vertical
9. Regional Analysis
11. Company Profiles
12. Use Cases and Best Practices
13. Conclusion
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