Overview and Scope
Data annotation, additionally referred to as data labeling, is the act of attributing, tagging, or labeling data using various metadata formats such as audio, text, pictures, and videos to train machine learning models. It is required to train AI (artificial intelligence) models so that they can properly understand varied kinds of data.
Sizing and Forecast
The data annotation and labeling market size has grown exponentially in recent years. It will grow from $1.28 billion in 2023 to $1.70 billion in 2024 at a compound annual growth rate (CAGR) of 32.9%. The growth in the historic period can be attributed to increased accessibility of cloud-based data annotation services, emergence of crowdsourcing platforms.
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Segmentation & Regional Insights
The data annotation and labeling market covered in this report is segmented –
1) By Component: Solution, Service
2) By Data Type: Text, Image, Video, Audio
3) By Annotation Type: Manual, Automatic, Semi-Supervises
4) By Application: Dataset Management, Security And Compliance, Data Quality Control, Workforce Management, Content Management, Catalog Management, Sentiment Analysis, Other Applications
5) By Verticals: Banking Financial Services And Insurance (BFSI), Information Technology And Information Technology Enabled Services (ITES), Healthcare And Life science, Telecom, Government Defense And Public Agencies, Retail and Consumer Goods, Automotive, Other Verticals
North America was the largest region in the data annotation and labeling market in 2023. The regions covered in the data annotation and labeling market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Major Driver Impacting Market Growt
The increasing usage of artificial intelligence and machine learning is expected to propel the growth of the data annotation and labeling market going forward. Artificial intelligence involves creating computer systems to perform tasks requiring human intellect, while machine learning focuses on algorithms learning from data to predict, categorize, and automate processes without explicit coding for each task. Data annotation and labeling in machine learning and artificial intelligence are critical for training algorithms because they provide labeled datasets that allow machine learning models to spot patterns, anticipate outcomes, and perform jobs effectively. For instance, in May 2022, according to the International Business Machines Corporation, a US-based technological company, approximately a third of organizations (35%) reported utilizing artificial intelligence in their operations, up four points from 2021. In 2022, there was a 13% rise in the chance of firms implementing AI relative to the previous year (2021). Similarly, in July 2023, according to Earthweb Inc., a US-based independent technology research blog, 48% of companies used deep learning, or machine learning, to make good use of massive amounts of data. Therefore, the increasing usage of artificial intelligence and machine learning is driving the data annotation and labeling market.
Key Industry Players
Major companies operating in the data annotation and labeling market are Google LLC, Amazon Web Services Inc., The International Business Machines Corporation, Oracle Corporation, Adobe Inc., Allegion PLC, TELUS International, Appen Ltd, Scale AI Inc, CloudFactory Limited, Anolytics, CapeStart Inc., Clickworker, DataPure Technologies, Amantya Technologies, Labelbox Inc., LXT AI Inc., Keylabs.ai LTD., Dataloop AI, Precise BPO Solution, SuperAnnotate, Label Your Data, V7 Labs, Cogito Tech LLC, AI Data innovation, Sigma AI, LightTag, Datasur N.V., Kili technology Corp., Segment AI
The data annotation and labeling market report table of contents includes:
1. Executive Summary
2. Data Annotation and Labeling Market Characteristics
3. Data Annotation and Labeling Market Trends And Strategies
4. Data Annotation and Labeling Market – Macro Economic Scenario
5. Global Data Annotation and Labeling Market Size and Growth
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32. Global Data Annotation and Labeling Market Competitive Benchmarking
33. Global Data Annotation and Labeling Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Data Annotation and Labeling Market
35. Data Annotation and Labeling Market Future Outlook and Potential Analysis
36. Appendix
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