데이터 수집 및 라벨링 시장 : 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

The global data collection and labelling market size is expected to reach USD 47.89 Billion in 2034 from USD 5.08 Billion in 2025, growing at a CAGR of 28.31% during 2026-2034.This market is growing as artificial intelligence and machine learning applications require increasingly large volumes of accurate, structured, and domain-specific training data. Data collection and labeling provide the datasets required for applications involving computer vision, natural-language processing, speech recognition, robotics, autonomous systems, and enterprise automation. Recent market estimates indicate rapid expansion as organizations move AI projects from experimentation toward production and require higher-quality datasets to improve model performance.

Demand is being driven by the increasing complexity of AI models and the need for specialized datasets. Automotive companies require labeled data for autonomous-driving systems, while healthcare, retail, financial services, and industrial organizations use annotation for different machine-learning applications. Automated labeling tools are becoming increasingly important because they can improve processing efficiency while human reviewers can provide quality control for complex or sensitive datasets. Growing attention to data privacy, bias, accuracy, and traceability is also encouraging organizations to adopt more structured labeling workflows.

Future prospects remain strong as generative AI, autonomous technologies, computer vision, and enterprise automation continue expanding. The market is expected to move beyond basic annotation toward domain-specific, auditable, and privacy-compliant datasets. Synthetic data and AI-assisted labeling can help address certain data availability challenges and improve productivity. Providers are likely to develop integrated platforms combining collection, annotation, quality assurance, and dataset management. As AI systems become more specialized, demand for high-quality training data tailored to specific industries and use cases should continue increasing.

Our reports are carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Data Type

• Text
• Image or Video
• Audio

By Application

• Dataset Management
• Security and Compliance
• Data Quality Control
• Workforce Management
• Content Management
• Catalogue Management
• Other Applications

By Vertical

• Information Technology (IT)
• Automotive
• Government
• Healthcare
• Banking, Financial Services and Insurance (BFSI)
• Retail and E-Commerce
• Other Verticals

COMPANIES PROFILED

• Labelbox Inc., Scale AI Inc., Trilldata Technologies Pvt Ltd, Appen Limited, Summa Linguae Technologies SA, SuperAnnotate AI Inc., Keylabs.AI Ltd, V7Labs Ltd, Datasaur Inc, Dataloop Ltd, CloudFactory Limited, TELUS International, Amazon Mechanical Turk, iMerit Technology Services Pvt Ltd, Hive Digital Technologies Ltd, Samasource Group, Surge AI, Toloka, Cogito Tech, Shaip Inc

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL DATA COLLECTION AND LABELLING MARKET: BY DATA TYPE 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Data Type
• 4.2. Text Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Image or Video Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Audio Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL DATA COLLECTION AND LABELLING MARKET: BY APPLICATION 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Application
• 5.2. Dataset Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Security and Compliance Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Data Quality Control Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Workforce Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.6. Content Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.7. Catalogue Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.8. Other Applications Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL DATA COLLECTION AND LABELLING MARKET: BY VERTICAL 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Vertical
• 6.2. Information Technology (IT) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Automotive Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Government Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.5. Healthcare Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.6. Banking, Financial Services and Insurance (BFSI) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.7. Retail and E-Commerce Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.8. Other Verticals Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL DATA COLLECTION AND LABELLING MARKET: BY REGION 2022-2034 (USD MN)

• 7.1. Regional Outlook
• 7.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.2.1 By Data Type
  • 7.2.2 By Application
  • 7.2.3 By Vertical
  • 7.2.4 United States
  • 7.2.5 Canada
  • 7.2.6 Mexico
• 7.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.3.1 By Data Type
  • 7.3.2 By Application
  • 7.3.3 By Vertical
  • 7.3.4 United Kingdom
  • 7.3.5 France
  • 7.3.6 Germany
  • 7.3.7 Italy
  • 7.3.8 Spain
  • 7.3.9 Russia
  • 7.3.10 Rest Of Europe
• 7.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.4.1 By Data Type
  • 7.4.2 By Application
  • 7.4.3 By Vertical
  • 7.4.4 China
  • 7.4.5 Japan
  • 7.4.6 South Korea
  • 7.4.7 India
  • 7.4.8 Australia
  • 7.4.9 South East Asia
  • 7.4.10 Rest Of Asia Pacific
• 7.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.5.1 By Data Type
  • 7.5.2 By Application
  • 7.5.3 By Vertical
  • 7.5.4 Brazil
  • 7.5.5 Argentina
  • 7.5.6 Peru
  • 7.5.7 Chile
  • 7.5.8 Rest of Latin America
• 7.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.6.1 By Data Type
  • 7.6.2 By Application
  • 7.6.3 By Vertical
  • 7.6.4 Saudi Arabia
  • 7.6.5 UAE
  • 7.6.6 Israel
  • 7.6.7 South Africa
  • 7.6.8 Rest of the Middle East And Africa

Chapter 8. COMPETITIVE LANDSCAPE

• 8.1. Recent Developments
• 8.2. Company Categorization
• 8.3. Supply Chain & Channel Partners (based on availability)
• 8.4. Market Share & Positioning Analysis (based on availability)
• 8.5. Vendor Landscape (based on availability)
• 8.6. Strategy Mapping

Chapter 9. COMPANY PROFILES OF GLOBAL DATA COLLECTION AND LABELLING INDUSTRY

• 9.1. Top Companies Market Share Analysis
• 9.2. Company Profiles
  • 9.2.1 Labelbox Inc
  • 9.2.2 Scale AI Inc
  • 9.2.3 Trilldata Technologies Pvt Ltd
  • 9.2.4 Appen Limited
  • 9.2.5 Summa Linguae Technologies SA
  • 9.2.6 SuperAnnotate AI Inc
  • 9.2.7 Keylabs.AI Ltd
  • 9.2.8 V7Labs Ltd
  • 9.2.9 Datasaur Inc
  • 9.2.10 Dataloop Ltd
  • 9.2.11 CloudFactory Limited
  • 9.2.12 TELUS International
  • 9.2.13 Amazon Mechanical Turk
  • 9.2.14 IMerit Technology Services Pvt Ltd
  • 9.2.15 Hive Digital Technologies Ltd
  • 9.2.16 Samasource Group
  • 9.2.17 Surge AI
  • 9.2.18 Toloka
  • 9.2.19 Cogito Tech
  • 9.2.20 Shaip Inc