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AI Training Dataset Market Outlook 2024 : Expected Market Growth Rate, Major Driver And Segments | Google LLC, Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation, Alegion
AI Training Dataset Global Market Report 2024
As per the report, the ai training dataset market size has grown exponentially in recent years. It will grow from $2.15 billion in 2023 to $2.63 billion in 2024 at a compound annual growth rate (CAGR) of 22.0%. The ai training dataset market size is expected to see exponential growth in the next few years. It will grow to $5.73 billion in 2028 at a compound annual growth rate (CAGR) of 21.5%.
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Rapid Expansion Of AI Adoption In Business Processes Fuels Growth In The AI Training Dataset Market
The growing adoption of artificial intelligence (AI) solutions in business processes is expected to boost the growth of the AI training dataset market going forward. Artificial intelligence (AI) solutions refer to the application of artificial intelligence techniques, technologies, and methodologies to address specific problems or tasks. The diversity and representativeness of a training dataset are used as they enable AI algorithms, particularly machine learning models, to learn and comprehend patterns and relationships within the data, enhancing the model's ability to generalize its knowledge to unseen instances. For instance, in May 2023, according to a report published by Stepsize AI, a UK-based technology company, the adoption of AI is expected to be widespread, with 70% of software teams integrating AI into their daily operations. Further, among businesses, 55% have already embraced AI, and an additional 15% are planning to adopt AI within 2024. Therefore, the growing adoption of artificial intelligence (AI) solutions in business processes is driving the growth of the AI training dataset market.
Redefining Standards In AI Training Processes
Major companies operating in the AI training dataset market are developing innovative technologies, such as state-of-the-art products, to better serve customers with advanced features. A state-of-the-art product refers to a product that represents the most advanced technology, design, and features currently available in the industry. For instance, in October 2023, EON Reality, a US-based software company, launched EON Train AI. The distinctive feature of EON Train AI lies in its capability to redefine the standards for organizations training artificial intelligence (AI) on their unique datasets. This product marks a transformative leap in AI training, simplifying what was once a labor-intensive and complex process into a swift, streamlined, and precise endeavor. EON Train AI's efficiency enables the accomplishment of multifaceted tasks in a matter of minutes, showcasing its exceptional ability to revolutionize and expedite AI training processes for organizations.
The ai training dataset market covered in this report is segmented -
1) By Type: Text, Audio, Image/Video
2) 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
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Major companies operating in the ai training dataset market report are Google LLC, Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation, Alegion, Telus International , Lionbridge Technologies Inc., Samasource Inc., Appen Limited, Appen Limited, Scale AI Inc., Hive, Cogito Tech LLC, EON Reality, Defined.AI, CloudFactory Limited, Deep Vision Data, Labelbox Inc., Playment Inc., SuperAnnotate AI Inc., Dataloop , Kinetic Vision Inc., Globose Technology Solutions Pvt Ltd., Trilldata Technologies
Contents of the report:
1. Executive Summary
2. AI Training Dataset Market Report Structure
3. AI Training Dataset Market Trends And Strategies
4. AI Training Dataset Market - Macro Economic Scenario
5. AI Training Dataset Market Size And Growth
…..
27. AI Training Dataset Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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