Data Collection And Labelling Market Size
Study Period | 2019 - 2030 |
Market Size (2025) | USD 4.80 Billion |
Market Size (2030) | USD 9.89 Billion |
CAGR (2025 - 2030) | 15.58 % |
Fastest Growing Market | Europe |
Largest Market | North America |
Market Concentration | Medium |
Major Players*Disclaimer: Major Players sorted in no particular order |
Data Collection And Labelling Market Analysis
The Data Collection And Labelling Market size is estimated at USD 4.80 billion in 2025, and is expected to reach USD 9.89 billion by 2030, at a CAGR of 15.58% during the forecast period (2025-2030).
- The data collection and labeling market is growing due to advancements in artificial intelligence (AI), machine learning (ML), and data analytics. Industries require well-labeled datasets for AI and ML models to automate tasks such as image recognition, speech recognition, and natural language processing (NLP).
- The expansion of IoT, 5G, and edge computing has increased the number of connected devices generating data that requires collection and labeling for real-time analytics and machine learning applications. This necessitates robust and scalable solutions to manage the data volume, velocity, and variety.
- Healthcare, finance, retail, and manufacturing sectors use specialized AI models that require high-quality labeled data for specific applications. Additionally, autonomous vehicles, drones, and robots need precise data labeling for navigation, object detection, and decision-making tasks, further driving industry demand.
- While the data collection and labeling market enables AI and machine learning applications, it faces operational challenges. The handling of sensitive information in healthcare, finance, and e-commerce sectors requires strict compliance with data privacy regulations while maintaining security measures.
Data Collection And Labelling Market Trends
Government Segment is Expected to Dominate the Market
- Governments worldwide are using data collection and labeling technology to improve public services, enhance decision-making, ensure security, and drive policy innovation. These technologies support various sectors, including governance, public health, urban planning, and law enforcement.
- Governments are deploying advanced technologies in public spaces, including facial recognition, AI-powered video analytics, and real-time monitoring tools. These systems track movements, identify individuals, and predict suspicious behaviors, enhancing security while raising privacy concerns. Security agencies use labeled data to train machine learning models for threat identification, social media content analysis, and criminal activity pattern tracking.
- Governments are adopting IoT devices to gather real-time data from traffic systems, water and energy consumption, pollution levels, and public transportation. This data labeling improves decision-making for urban planning, sustainable development, and city operations optimization. Through traffic data labeling (vehicle counts, traffic patterns, accidents), cities deploy AI models to manage traffic flow, reduce congestion, and optimize public transport systems, driving market growth.
- Various governments are integrating Artificial Intelligence (AI) across various sectors to improve efficiency, innovation, and security. According to the government artificial intelligence (AI) readiness index rankings, the United States ranks highest worldwide in 2023, with an index score of 84.8, followed by Singapore at 81.97.
North America Expected to Hold High Market Share
- The data collection and labeling services market in North America is experiencing significant growth, driven by the increasing adoption of data-driven technologies across industries. The autonomous vehicle industry requires extensive labeled datasets to train AI models for object detection, navigation, and decision-making. This requirement generates substantial demand for labeled image, video, and sensor data.
- The healthcare sector's adoption of AI applications in medical imaging, diagnostics, and drug discovery necessitates labeled medical data. Annotated CT scans and MRIs are fundamental for training AI systems to precisely detect diseases, particularly cancer. The expansion of personalized medicine and genomics further increases the need for data collection and labeling to identify genetic markers and disease predispositions.
- The growth of e-commerce in North America has intensified the demand for labeled product images, descriptions, and customer behavior data. Companies utilize machine learning models to improve search functionality, product recommendations, and customer personalization. Data labeling enables effective tracking and analysis of consumer behavior, allowing businesses to enhance their understanding of customers and refine marketing strategies.
Data Collection And Labelling Industry Overview
The Data Collection and Labelling market is moderately consolidated with the presence of players such as Appen Limited, Alegion Inc., Cogito Tech and iMerit Technology vying for higher market share. These players are investing to make rapid technological advancements to cater to a dooming digital economy. These companies are actively pursuing a larger global market share through research & development, mergers & acquisitions, product innovation, and market expansion to promote sustainable innovations and enhance their global customer base.
Data Collection And Labelling Market Leaders
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Appen Limited
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Alegion Inc.
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Cogito Tech
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iMerit Technology
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SuperAnnotate AI Inc.
*Disclaimer: Major Players sorted in no particular order
Data Collection And Labelling Market News
- September 2024: The National Geospatial-Intelligence Agency (NGA) is set to invest substantially in artificial intelligence capabilities, with plans to spend up to USD 700 million on data labeling services over the next five years. The initiative represents the agency’s largest-ever contract for data labeling and aims to bolster NGA’s machine-learning capabilities for analyzing satellite imagery and other geospatial data.
- October 2024: Clarifai Inc., a United States-based company, has partnered with Crimson Phoenix, a premier provider of data-enabled solutions. This strategic alliance aims to deliver cutting-edge AI-enabled data labeling and computer vision capabilities for unstructured data such as images and video in the Intelligence and Defense communities.
Data Collection And Labelling Market Report - Table of Contents
1. INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET INSIGHTS
4.1 Market Overview
4.2 Industry Value Chain Analysis
4.3 Industry Attractiveness - Porter's Five Forces Analysis
4.3.1 Bargaining Power of Suppliers
4.3.2 Bargaining Power of Buyers
4.3.3 Threat of New Entrants
4.3.4 Threat of Substitutes products
4.3.5 Intensity of Competitive Rivalry
5. MARKET DYNAMICS
5.1 Market Drivers
5.1.1 AI and Machine Learning Advancements Drive Data Collection and Labeling Market Growth
5.1.2 Industry-Specific Requirements Boost Market Demand
5.2 Market Challenge
5.2.1 Data Privacy and Security Present Market Challenges
6. INDUSTRY REGULATION, POLICY AND STANDARDS
7. MARKET SEGMENTATION
7.1 By Data Type
7.1.1 Text
7.1.2 Image/Video
7.1.3 Audio
7.2 By End-Use Industries
7.2.1 Automotive
7.2.2 Government
7.2.3 Healthcare
7.2.4 BFSI
7.2.5 Retail & E-Commerce
7.2.6 Other End-Use Industries
7.3 By Geography***
7.3.1 North America
7.3.1.1 United States
7.3.1.2 Canada
7.3.2 Europe
7.3.2.1 Germany
7.3.2.2 France
7.3.2.3 Italy
7.3.2.4 Spain
7.3.3 Asia
7.3.3.1 China
7.3.3.2 India
7.3.3.3 Japan
7.3.4 Australia and New Zealand
7.3.5 Latin America
7.3.5.1 Brazil
7.3.5.2 Mexico
7.3.6 Middle East and Africa
7.3.6.1 Saudi Arabia
7.3.6.2 United Arab Emirates
7.3.6.3 South Africa
8. COMPETITIVE LANDSCAPE
8.1 Company Profiles
8.1.1 Appen Limited
8.1.2 Alegion Inc.
8.1.3 Cogito Tech
8.1.4 iMerit Technology
8.1.5 SuperAnnotate AI Inc.
8.1.6 Sensata Technologies Inc.
8.1.7 SAS Institute Inc.
8.1.8 RELX Group Plc
- *List Not Exhaustive
8.2 Heat Map Analysis
8.3 Competitor Analysis - Emerging vs. Established Players
9. RECYCLING & SUSTAINABILITY LANDSCAPE
10. FUTURE OUTLOOK
Data Collection And Labelling Industry Segmentation
The data collection and labeling industry is a sector that involves gathering, processing, and annotating data, which is then used to train machine learning (ML) models and artificial intelligence (AI) systems. The research also examines underlying growth influencers and significant industry vendors, all of which help to support market estimates and growth rates throughout the anticipated period. The market estimates and projections are based on the base year factors and arrived at top-down and bottom-up approaches.
Data collection and labelling market is segmented by data type (Text, Image/Video and Audio), by end-use industry (Automotive, Government, Healthcare, BFSI, Retail & E-Commerce and Other End-Use Industries) and by geography (North America, Europe, Asia Pacific, South America and Middle East and Africa). The market sizing and forecasts are provided in terms of value (USD) for all the above segments.
By Data Type | |
Text | |
Image/Video | |
Audio |
By End-Use Industries | |
Automotive | |
Government | |
Healthcare | |
BFSI | |
Retail & E-Commerce | |
Other End-Use Industries |
By Geography*** | ||||||
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Australia and New Zealand | ||||||
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Data Collection And Labelling Market Research FAQs
How big is the Data Collection And Labelling Market?
The Data Collection And Labelling Market size is expected to reach USD 4.80 billion in 2025 and grow at a CAGR of 15.58% to reach USD 9.89 billion by 2030.
What is the current Data Collection And Labelling Market size?
In 2025, the Data Collection And Labelling Market size is expected to reach USD 4.80 billion.
Who are the key players in Data Collection And Labelling Market?
Appen Limited, Alegion Inc., Cogito Tech, iMerit Technology and SuperAnnotate AI Inc. are the major companies operating in the Data Collection And Labelling Market.
Which is the fastest growing region in Data Collection And Labelling Market?
Europe is estimated to grow at the highest CAGR over the forecast period (2025-2030).
Which region has the biggest share in Data Collection And Labelling Market?
In 2025, the North America accounts for the largest market share in Data Collection And Labelling Market.
What years does this Data Collection And Labelling Market cover, and what was the market size in 2024?
In 2024, the Data Collection And Labelling Market size was estimated at USD 4.05 billion. The report covers the Data Collection And Labelling Market historical market size for years: 2019, 2020, 2021, 2022, 2023 and 2024. The report also forecasts the Data Collection And Labelling Market size for years: 2025, 2026, 2027, 2028, 2029 and 2030.
Data Collection And Labelling Industry Report
Statistics for the 2025 Data Collection And Labelling market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Data Collection And Labelling analysis includes a market forecast outlook for 2025 to 2030 and historical overview. Get a sample of this industry analysis as a free report PDF download.