Overview and Scope
A data annotation tool refers to a software solution that can be used to annotate production-grade training data for machine learning. It can be cloud-based, on-premises, or containerized.
Sizing and Forecast
The data annotation tools market size has grown exponentially in recent years. It will grow from $1.83 billion in 2023 to $2.37 billion in 2024 at a compound annual growth rate (CAGR) of 29.4%. The growth in the historic period can be attributed to rise in demand for annotated data, need for high-quality labeled data, regulatory compliance requirements, development of autonomous vehicles, focus on data quality and accuracy, global expansion of smart agriculture..
The data annotation tools market size is expected to see exponential growth in the next few years. It will grow to $6.74 billion in 2028 at a compound annual growth rate (CAGR) of 29.8%. The growth in the forecast period can be attributed to advancements in annotation automation, increasing adoption of federated learning, emphasis on active learning techniques, enhanced tools for handling 3d data, development of annotation tools for multimodal data, focus on cost-effective annotation solutions.. Major trends in the forecast period include growing emphasis on computer vision, outsourcing of data annotation services, shift toward semi-supervised and self-supervised learning, crowdsourcing for large-scale annotation projects, collaboration features in annotation platforms..
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Segmentation & Regional Insights
The data annotation tools market covered in this report is segmented –
1) By Type: Text, Image/Video, Audio
2) By Technology: Supervised, Semi-Supervised, Automatic
3) By Vertical: IT, Automotive, Government, Healthcare, Financial Services, Retail, Other Verticals
Asia Pacific was the largest region in the data annotation tools market in 2023. North America is expected to be the fastest-growing region in the data annotation tools market report forecast period. The regions covered in the data annotation tools market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Major Driver Impacting Market Growth
The rise of big data is expected to propel the growth of the data annotation tools market going forward. Big data refers to more diverse information that arrives in larger volumes and moves faster. The widespread use of big data in data annotation is due to the metrics that are employed in machine learning processes as they store, analyze, and manage bulk data. For instance, according to a report released by the World Economic Forum, a Switzerland-based international non-governmental and lobbying organization, by the year 2025, it is predicted that 463 exabytes of massive data, which is equivalent to 212.77 million DVDs (digital video discs) per day, will be generated globally. Therefore, the rise of big data will drive the growth of the data annotation tools market.
Key Industry Players
Major companies operating in the data annotation tools market report are Annotate.com, Appen Limited, CloudApp, Cogito Tech LLC, Deep Systems, iMerit Technology Services Pvt. Ltd., Samasource Inc., Lionbridge Technologies Inc., Clickworker GmbH, CloudFactory Limited, Scale Inc., Amazon Web Services Inc., Playment Inc., Labelbox Inc., Neurala Inc., Webtunix AI, Hive CloudApp Inc., TagX, Anolytics, LightTag, Alegion Inc., DefinedCrowd Corporation, Edgecase AI, V7 Labs, Supervisely OÜ, Dataloop AI
The data annotation tools market report table of contents includes:
1. Executive Summary
2. Data Annotation Tools Market Characteristics
3. Data Annotation Tools Market Trends And Strategies
4. Data Annotation Tools Market – Macro Economic Scenario
5. Global Data Annotation Tools Market Size and Growth
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31. Global Data Annotation Tools Market Competitive Benchmarking
32. Global Data Annotation Tools Market Competitive Dashboard
33. Key Mergers And Acquisitions In The Data Annotation Tools Market
34. Data Annotation Tools Market Future Outlook and Potential Analysis
35. Appendix
Top Major Players:
Annotate.com,
Appen Limited,
CloudApp, Cogito Tech LLC,
Deep Systems,
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