Global Data Annotation Tools Market

Data Annotation Tools Comprehensive Study by End-User Industry (Self-Driving, Robotics, Automotive, Healthcare, Agriculture, Others), Annotation Tools (Bounding Boxes, Polygon, Circles, Lines & Splines, Others), Data Annotation Types (Image, Video, Audio, Text, Geographical, Others), Price (Community Edition, Enterprise Edition), Data Annotation Techniques (Manual, Automatic, Semi-Automatic) Players and Region - Global Market Outlook to 2028

Data Annotation Tools Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Data Annotation Tools
The data annotation tools are used for processing or labeling data machine learning and training different computer vision models. Data can be in any form that a human might understand such as text, audio, images or video, tabular data and other types of data. These tools can be majorly used by a data scientist to clean the data and annotated data to train machine learning models and also used in deep learning. There are various types and uses for data annotation in machine learning including classification of image or text, detection of an object and segmentation and other types of tools. However, all of these tools are built with direct manipulation via Graphical User Interfaces (GUI). Data Annotation plays major role in machine learning and deep learning applications.

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)


The companies are implementing strategic activities such as acquisitions and mergers along with collaboration with companies in other industries to aid them in improving sustenance and maintaining their competitive advantage. Analyst at AMA Research estimates that North America and Europe Players will contribute the maximum growth to Global Data Annotation Tools market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

Amazon Mechanical Turk (United States), Lionbridge AI (United States), Edgecase (United States), Scale AI (United States), CloudApp, Inc. (United States), Hive AI (United States), Figure Eight (United States), Humans in the Loop (Bulgaria), Clickworker (Germany), Appen (Australia), Dbrain (Russia), Webtunix AI (United States), IBM Corporation (United States), Labelbox, Inc. (United States), Trantor (United States), Netguru (Poland) and DataLoop (Israel) are some of the key players that are part of study coverage.

Segmentation Overview
AMA Research has segmented the market of Global Data Annotation Tools market by and Region.



On the basis of geography, the market of Data Annotation Tools has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by End-User Industry, the sub-segment i.e. Self-Driving will boost the Data Annotation Tools market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Annotation Tools, the sub-segment i.e. Bounding Boxes will boost the Data Annotation Tools market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Data Annotation Types, the sub-segment i.e. Image will boost the Data Annotation Tools market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Price, the sub-segment i.e. Community Edition will boost the Data Annotation Tools market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Data Annotation Techniques, the sub-segment i.e. Manual will boost the Data Annotation Tools market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Data Annotation Tools are Trending Due to the Online Search Engines Needs Huge Amount of Datasets to Improve the Quality of Its Search, Automatic Annotation Technique is the Most Efficient and Requires Least Time and Rising Trend of Computer Vision Annotation Tool (CVAT) Which Helps to Annotate Image and Video for Computer Vision Algorithms

Market Growth Drivers:
Rapid Growth in Artificial Intelligence is a Significantly Growing Demand for Data Annotation Tools, Data Annotation Tools Are Extremely Used in Various Field Such as Self Driving, Robotics, Automotive and Healthcare, Rising Demand for Annotated Data to Improve the Machine Learning Models and AI Models or Automated Applications Provide a Totally Different and Seamless Experience for End-Users

Challenges:
The Data Annotation is Crucial Issue behind a Models Accuracy and Automatic Image Annotation is Not Suitable for Unsupervised Learning Process

Restraints:
Data Annotation is Time Consuming and Worth the Trouble and Manual Data Annotation is Very Slow Process

Opportunities:
Innovation in Artificial Intelligence and Machine Learning Technology which Provides the Advantages to Different Fields Globally and Data Annotation Tools is Widely Used Self-Driving Vehicles

Market Leaders and their expansionary development strategies
In July 2019, dSPACE, the leading provider of solutions for the development of network, autonomous, and electrically powered vehicles company acquired the start-up company understand.ai. Both will invest in core tasks ‘AI application’ and ‘cloud-based tools’.
In January 2020, IBM, an American multinational information technology company launched an annotation tool that taps artificial intelligence (AI) to label images. The new tool uses AI to helps developers to annotate data without manually drawing labels on the complete dataset of images. Simply select the “Auto label” button from the dashboard automatically labels uploaded image samples. This is optimized for data-hungry machine learning and cloud-native workloads. and In March 2019, Alegion, a leading training data preparation platform for artificial intelligence (AI) and machine learning launched its new suite of image and video annotation tools for training data in computer vision initiatives. These new capabilities are specialized for data tasks like image classification, object localization, and semantic segmentation, and are being used by customers across retail, automotive, technology, government, and financial services.


Key Target Audience
Software Development Company, Data Annotation Tools Provider, Artificial Intelligence Companies, Data Science Consulting Firm, End-Users and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By End-User Industry
  • Self-Driving
  • Robotics
  • Automotive
  • Healthcare
  • Agriculture
  • Others

By Annotation Tools
  • Bounding Boxes
  • Polygon
  • Circles
  • Lines & Splines
  • Others

By Data Annotation Types
  • Image
  • Video
  • Audio
  • Text
  • Geographical
  • Others

By Price
  • Community Edition
  • Enterprise Edition

By Data Annotation Techniques
  • Manual
  • Automatic
  • Semi-Automatic

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Rapid Growth in Artificial Intelligence is a Significantly Growing Demand for Data Annotation Tools
      • 3.2.2. Data Annotation Tools Are Extremely Used in Various Field Such as Self Driving, Robotics, Automotive and Healthcare
      • 3.2.3. Rising Demand for Annotated Data to Improve the Machine Learning Models
      • 3.2.4. AI Models or Automated Applications Provide a Totally Different and Seamless Experience for End-Users
    • 3.3. Market Challenges
      • 3.3.1. The Data Annotation is Crucial Issue behind a Models Accuracy
      • 3.3.2. Automatic Image Annotation is Not Suitable for Unsupervised Learning Process
    • 3.4. Market Trends
      • 3.4.1. Data Annotation Tools are Trending Due to the Online Search Engines Needs Huge Amount of Datasets to Improve the Quality of Its Search
      • 3.4.2. Automatic Annotation Technique is the Most Efficient and Requires Least Time
      • 3.4.3. Rising Trend of Computer Vision Annotation Tool (CVAT) Which Helps to Annotate Image and Video for Computer Vision Algorithms
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Data Annotation Tools, by End-User Industry, Annotation Tools, Data Annotation Types, Price, Data Annotation Techniques and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Data Annotation Tools (Value)
      • 5.2.1. Global Data Annotation Tools by: End-User Industry (Value)
        • 5.2.1.1. Self-Driving
        • 5.2.1.2. Robotics
        • 5.2.1.3. Automotive
        • 5.2.1.4. Healthcare
        • 5.2.1.5. Agriculture
        • 5.2.1.6. Others
      • 5.2.2. Global Data Annotation Tools by: Annotation Tools (Value)
        • 5.2.2.1. Bounding Boxes
        • 5.2.2.2. Polygon
        • 5.2.2.3. Circles
        • 5.2.2.4. Lines & Splines
        • 5.2.2.5. Others
      • 5.2.3. Global Data Annotation Tools by: Data Annotation Types (Value)
        • 5.2.3.1. Image
        • 5.2.3.2. Video
        • 5.2.3.3. Audio
        • 5.2.3.4. Text
        • 5.2.3.5. Geographical
        • 5.2.3.6. Others
      • 5.2.4. Global Data Annotation Tools by: Price (Value)
        • 5.2.4.1. Community Edition
        • 5.2.4.2. Enterprise Edition
      • 5.2.5. Global Data Annotation Tools by: Data Annotation Techniques (Value)
        • 5.2.5.1. Manual
        • 5.2.5.2. Automatic
        • 5.2.5.3. Semi-Automatic
      • 5.2.6. Global Data Annotation Tools Region
        • 5.2.6.1. South America
          • 5.2.6.1.1. Brazil
          • 5.2.6.1.2. Argentina
          • 5.2.6.1.3. Rest of South America
        • 5.2.6.2. Asia Pacific
          • 5.2.6.2.1. China
          • 5.2.6.2.2. Japan
          • 5.2.6.2.3. India
          • 5.2.6.2.4. South Korea
          • 5.2.6.2.5. Taiwan
          • 5.2.6.2.6. Australia
          • 5.2.6.2.7. Rest of Asia-Pacific
        • 5.2.6.3. Europe
          • 5.2.6.3.1. Germany
          • 5.2.6.3.2. France
          • 5.2.6.3.3. Italy
          • 5.2.6.3.4. United Kingdom
          • 5.2.6.3.5. Netherlands
          • 5.2.6.3.6. Rest of Europe
        • 5.2.6.4. MEA
          • 5.2.6.4.1. Middle East
          • 5.2.6.4.2. Africa
        • 5.2.6.5. North America
          • 5.2.6.5.1. United States
          • 5.2.6.5.2. Canada
          • 5.2.6.5.3. Mexico
  • 6. Data Annotation Tools: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Amazon Mechanical Turk (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Lionbridge AI (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Edgecase (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Scale AI (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. CloudApp, Inc. (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Hive AI (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Figure Eight (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Humans in the Loop (Bulgaria)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Clickworker (Germany)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Appen (Australia)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Dbrain (Russia)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Webtunix AI (United States)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. IBM Corporation (United States)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. Labelbox, Inc. (United States)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. Trantor (United States)
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
      • 6.4.16. Netguru (Poland)
        • 6.4.16.1. Business Overview
        • 6.4.16.2. Products/Services Offerings
        • 6.4.16.3. Financial Analysis
        • 6.4.16.4. SWOT Analysis
      • 6.4.17. DataLoop (Israel)
        • 6.4.17.1. Business Overview
        • 6.4.17.2. Products/Services Offerings
        • 6.4.17.3. Financial Analysis
        • 6.4.17.4. SWOT Analysis
  • 7. Global Data Annotation Tools Sale, by End-User Industry, Annotation Tools, Data Annotation Types, Price, Data Annotation Techniques and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Data Annotation Tools (Value)
      • 7.2.1. Global Data Annotation Tools by: End-User Industry (Value)
        • 7.2.1.1. Self-Driving
        • 7.2.1.2. Robotics
        • 7.2.1.3. Automotive
        • 7.2.1.4. Healthcare
        • 7.2.1.5. Agriculture
        • 7.2.1.6. Others
      • 7.2.2. Global Data Annotation Tools by: Annotation Tools (Value)
        • 7.2.2.1. Bounding Boxes
        • 7.2.2.2. Polygon
        • 7.2.2.3. Circles
        • 7.2.2.4. Lines & Splines
        • 7.2.2.5. Others
      • 7.2.3. Global Data Annotation Tools by: Data Annotation Types (Value)
        • 7.2.3.1. Image
        • 7.2.3.2. Video
        • 7.2.3.3. Audio
        • 7.2.3.4. Text
        • 7.2.3.5. Geographical
        • 7.2.3.6. Others
      • 7.2.4. Global Data Annotation Tools by: Price (Value)
        • 7.2.4.1. Community Edition
        • 7.2.4.2. Enterprise Edition
      • 7.2.5. Global Data Annotation Tools by: Data Annotation Techniques (Value)
        • 7.2.5.1. Manual
        • 7.2.5.2. Automatic
        • 7.2.5.3. Semi-Automatic
      • 7.2.6. Global Data Annotation Tools Region
        • 7.2.6.1. South America
          • 7.2.6.1.1. Brazil
          • 7.2.6.1.2. Argentina
          • 7.2.6.1.3. Rest of South America
        • 7.2.6.2. Asia Pacific
          • 7.2.6.2.1. China
          • 7.2.6.2.2. Japan
          • 7.2.6.2.3. India
          • 7.2.6.2.4. South Korea
          • 7.2.6.2.5. Taiwan
          • 7.2.6.2.6. Australia
          • 7.2.6.2.7. Rest of Asia-Pacific
        • 7.2.6.3. Europe
          • 7.2.6.3.1. Germany
          • 7.2.6.3.2. France
          • 7.2.6.3.3. Italy
          • 7.2.6.3.4. United Kingdom
          • 7.2.6.3.5. Netherlands
          • 7.2.6.3.6. Rest of Europe
        • 7.2.6.4. MEA
          • 7.2.6.4.1. Middle East
          • 7.2.6.4.2. Africa
        • 7.2.6.5. North America
          • 7.2.6.5.1. United States
          • 7.2.6.5.2. Canada
          • 7.2.6.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Data Annotation Tools: by End-User Industry(USD Million)
  • Table 2. Data Annotation Tools Self-Driving , by Region USD Million (2017-2022)
  • Table 3. Data Annotation Tools Robotics , by Region USD Million (2017-2022)
  • Table 4. Data Annotation Tools Automotive , by Region USD Million (2017-2022)
  • Table 5. Data Annotation Tools Healthcare , by Region USD Million (2017-2022)
  • Table 6. Data Annotation Tools Agriculture , by Region USD Million (2017-2022)
  • Table 7. Data Annotation Tools Others , by Region USD Million (2017-2022)
  • Table 8. Data Annotation Tools: by Annotation Tools(USD Million)
  • Table 9. Data Annotation Tools Bounding Boxes , by Region USD Million (2017-2022)
  • Table 10. Data Annotation Tools Polygon , by Region USD Million (2017-2022)
  • Table 11. Data Annotation Tools Circles , by Region USD Million (2017-2022)
  • Table 12. Data Annotation Tools Lines & Splines , by Region USD Million (2017-2022)
  • Table 13. Data Annotation Tools Others , by Region USD Million (2017-2022)
  • Table 14. Data Annotation Tools: by Data Annotation Types(USD Million)
  • Table 15. Data Annotation Tools Image , by Region USD Million (2017-2022)
  • Table 16. Data Annotation Tools Video , by Region USD Million (2017-2022)
  • Table 17. Data Annotation Tools Audio , by Region USD Million (2017-2022)
  • Table 18. Data Annotation Tools Text , by Region USD Million (2017-2022)
  • Table 19. Data Annotation Tools Geographical , by Region USD Million (2017-2022)
  • Table 20. Data Annotation Tools Others , by Region USD Million (2017-2022)
  • Table 21. Data Annotation Tools: by Price(USD Million)
  • Table 22. Data Annotation Tools Community Edition , by Region USD Million (2017-2022)
  • Table 23. Data Annotation Tools Enterprise Edition , by Region USD Million (2017-2022)
  • Table 24. Data Annotation Tools: by Data Annotation Techniques(USD Million)
  • Table 25. Data Annotation Tools Manual , by Region USD Million (2017-2022)
  • Table 26. Data Annotation Tools Automatic , by Region USD Million (2017-2022)
  • Table 27. Data Annotation Tools Semi-Automatic , by Region USD Million (2017-2022)
  • Table 28. South America Data Annotation Tools, by Country USD Million (2017-2022)
  • Table 29. South America Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 30. South America Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 31. South America Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 32. South America Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 33. South America Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 34. Brazil Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 35. Brazil Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 36. Brazil Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 37. Brazil Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 38. Brazil Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 39. Argentina Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 40. Argentina Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 41. Argentina Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 42. Argentina Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 43. Argentina Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 44. Rest of South America Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 45. Rest of South America Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 46. Rest of South America Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 47. Rest of South America Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 48. Rest of South America Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 49. Asia Pacific Data Annotation Tools, by Country USD Million (2017-2022)
  • Table 50. Asia Pacific Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 51. Asia Pacific Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 52. Asia Pacific Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 53. Asia Pacific Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 54. Asia Pacific Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 55. China Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 56. China Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 57. China Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 58. China Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 59. China Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 60. Japan Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 61. Japan Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 62. Japan Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 63. Japan Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 64. Japan Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 65. India Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 66. India Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 67. India Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 68. India Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 69. India Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 70. South Korea Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 71. South Korea Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 72. South Korea Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 73. South Korea Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 74. South Korea Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 75. Taiwan Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 76. Taiwan Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 77. Taiwan Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 78. Taiwan Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 79. Taiwan Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 80. Australia Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 81. Australia Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 82. Australia Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 83. Australia Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 84. Australia Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 85. Rest of Asia-Pacific Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 86. Rest of Asia-Pacific Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 87. Rest of Asia-Pacific Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 88. Rest of Asia-Pacific Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 89. Rest of Asia-Pacific Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 90. Europe Data Annotation Tools, by Country USD Million (2017-2022)
  • Table 91. Europe Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 92. Europe Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 93. Europe Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 94. Europe Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 95. Europe Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 96. Germany Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 97. Germany Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 98. Germany Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 99. Germany Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 100. Germany Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 101. France Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 102. France Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 103. France Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 104. France Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 105. France Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 106. Italy Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 107. Italy Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 108. Italy Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 109. Italy Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 110. Italy Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 111. United Kingdom Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 112. United Kingdom Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 113. United Kingdom Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 114. United Kingdom Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 115. United Kingdom Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 116. Netherlands Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 117. Netherlands Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 118. Netherlands Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 119. Netherlands Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 120. Netherlands Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 121. Rest of Europe Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 122. Rest of Europe Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 123. Rest of Europe Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 124. Rest of Europe Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 125. Rest of Europe Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 126. MEA Data Annotation Tools, by Country USD Million (2017-2022)
  • Table 127. MEA Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 128. MEA Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 129. MEA Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 130. MEA Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 131. MEA Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 132. Middle East Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 133. Middle East Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 134. Middle East Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 135. Middle East Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 136. Middle East Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 137. Africa Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 138. Africa Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 139. Africa Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 140. Africa Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 141. Africa Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 142. North America Data Annotation Tools, by Country USD Million (2017-2022)
  • Table 143. North America Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 144. North America Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 145. North America Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 146. North America Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 147. North America Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 148. United States Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 149. United States Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 150. United States Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 151. United States Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 152. United States Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 153. Canada Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 154. Canada Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 155. Canada Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 156. Canada Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 157. Canada Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 158. Mexico Data Annotation Tools, by End-User Industry USD Million (2017-2022)
  • Table 159. Mexico Data Annotation Tools, by Annotation Tools USD Million (2017-2022)
  • Table 160. Mexico Data Annotation Tools, by Data Annotation Types USD Million (2017-2022)
  • Table 161. Mexico Data Annotation Tools, by Price USD Million (2017-2022)
  • Table 162. Mexico Data Annotation Tools, by Data Annotation Techniques USD Million (2017-2022)
  • Table 163. Company Basic Information, Sales Area and Its Competitors
  • Table 164. Company Basic Information, Sales Area and Its Competitors
  • Table 165. Company Basic Information, Sales Area and Its Competitors
  • Table 166. Company Basic Information, Sales Area and Its Competitors
  • Table 167. Company Basic Information, Sales Area and Its Competitors
  • Table 168. Company Basic Information, Sales Area and Its Competitors
  • Table 169. Company Basic Information, Sales Area and Its Competitors
  • Table 170. Company Basic Information, Sales Area and Its Competitors
  • Table 171. Company Basic Information, Sales Area and Its Competitors
  • Table 172. Company Basic Information, Sales Area and Its Competitors
  • Table 173. Company Basic Information, Sales Area and Its Competitors
  • Table 174. Company Basic Information, Sales Area and Its Competitors
  • Table 175. Company Basic Information, Sales Area and Its Competitors
  • Table 176. Company Basic Information, Sales Area and Its Competitors
  • Table 177. Company Basic Information, Sales Area and Its Competitors
  • Table 178. Company Basic Information, Sales Area and Its Competitors
  • Table 179. Company Basic Information, Sales Area and Its Competitors
  • Table 180. Data Annotation Tools: by End-User Industry(USD Million)
  • Table 181. Data Annotation Tools Self-Driving , by Region USD Million (2023-2028)
  • Table 182. Data Annotation Tools Robotics , by Region USD Million (2023-2028)
  • Table 183. Data Annotation Tools Automotive , by Region USD Million (2023-2028)
  • Table 184. Data Annotation Tools Healthcare , by Region USD Million (2023-2028)
  • Table 185. Data Annotation Tools Agriculture , by Region USD Million (2023-2028)
  • Table 186. Data Annotation Tools Others , by Region USD Million (2023-2028)
  • Table 187. Data Annotation Tools: by Annotation Tools(USD Million)
  • Table 188. Data Annotation Tools Bounding Boxes , by Region USD Million (2023-2028)
  • Table 189. Data Annotation Tools Polygon , by Region USD Million (2023-2028)
  • Table 190. Data Annotation Tools Circles , by Region USD Million (2023-2028)
  • Table 191. Data Annotation Tools Lines & Splines , by Region USD Million (2023-2028)
  • Table 192. Data Annotation Tools Others , by Region USD Million (2023-2028)
  • Table 193. Data Annotation Tools: by Data Annotation Types(USD Million)
  • Table 194. Data Annotation Tools Image , by Region USD Million (2023-2028)
  • Table 195. Data Annotation Tools Video , by Region USD Million (2023-2028)
  • Table 196. Data Annotation Tools Audio , by Region USD Million (2023-2028)
  • Table 197. Data Annotation Tools Text , by Region USD Million (2023-2028)
  • Table 198. Data Annotation Tools Geographical , by Region USD Million (2023-2028)
  • Table 199. Data Annotation Tools Others , by Region USD Million (2023-2028)
  • Table 200. Data Annotation Tools: by Price(USD Million)
  • Table 201. Data Annotation Tools Community Edition , by Region USD Million (2023-2028)
  • Table 202. Data Annotation Tools Enterprise Edition , by Region USD Million (2023-2028)
  • Table 203. Data Annotation Tools: by Data Annotation Techniques(USD Million)
  • Table 204. Data Annotation Tools Manual , by Region USD Million (2023-2028)
  • Table 205. Data Annotation Tools Automatic , by Region USD Million (2023-2028)
  • Table 206. Data Annotation Tools Semi-Automatic , by Region USD Million (2023-2028)
  • Table 207. South America Data Annotation Tools, by Country USD Million (2023-2028)
  • Table 208. South America Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 209. South America Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 210. South America Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 211. South America Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 212. South America Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 213. Brazil Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 214. Brazil Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 215. Brazil Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 216. Brazil Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 217. Brazil Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 218. Argentina Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 219. Argentina Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 220. Argentina Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 221. Argentina Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 222. Argentina Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 223. Rest of South America Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 224. Rest of South America Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 225. Rest of South America Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 226. Rest of South America Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 227. Rest of South America Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 228. Asia Pacific Data Annotation Tools, by Country USD Million (2023-2028)
  • Table 229. Asia Pacific Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 230. Asia Pacific Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 231. Asia Pacific Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 232. Asia Pacific Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 233. Asia Pacific Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 234. China Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 235. China Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 236. China Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 237. China Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 238. China Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 239. Japan Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 240. Japan Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 241. Japan Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 242. Japan Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 243. Japan Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 244. India Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 245. India Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 246. India Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 247. India Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 248. India Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 249. South Korea Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 250. South Korea Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 251. South Korea Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 252. South Korea Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 253. South Korea Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 254. Taiwan Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 255. Taiwan Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 256. Taiwan Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 257. Taiwan Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 258. Taiwan Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 259. Australia Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 260. Australia Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 261. Australia Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 262. Australia Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 263. Australia Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 264. Rest of Asia-Pacific Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 265. Rest of Asia-Pacific Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 266. Rest of Asia-Pacific Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 267. Rest of Asia-Pacific Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 268. Rest of Asia-Pacific Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 269. Europe Data Annotation Tools, by Country USD Million (2023-2028)
  • Table 270. Europe Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 271. Europe Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 272. Europe Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 273. Europe Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 274. Europe Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 275. Germany Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 276. Germany Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 277. Germany Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 278. Germany Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 279. Germany Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 280. France Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 281. France Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 282. France Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 283. France Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 284. France Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 285. Italy Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 286. Italy Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 287. Italy Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 288. Italy Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 289. Italy Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 290. United Kingdom Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 291. United Kingdom Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 292. United Kingdom Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 293. United Kingdom Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 294. United Kingdom Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 295. Netherlands Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 296. Netherlands Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 297. Netherlands Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 298. Netherlands Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 299. Netherlands Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 300. Rest of Europe Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 301. Rest of Europe Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 302. Rest of Europe Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 303. Rest of Europe Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 304. Rest of Europe Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 305. MEA Data Annotation Tools, by Country USD Million (2023-2028)
  • Table 306. MEA Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 307. MEA Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 308. MEA Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 309. MEA Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 310. MEA Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 311. Middle East Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 312. Middle East Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 313. Middle East Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 314. Middle East Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 315. Middle East Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 316. Africa Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 317. Africa Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 318. Africa Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 319. Africa Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 320. Africa Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 321. North America Data Annotation Tools, by Country USD Million (2023-2028)
  • Table 322. North America Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 323. North America Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 324. North America Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 325. North America Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 326. North America Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 327. United States Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 328. United States Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 329. United States Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 330. United States Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 331. United States Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 332. Canada Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 333. Canada Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 334. Canada Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 335. Canada Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 336. Canada Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 337. Mexico Data Annotation Tools, by End-User Industry USD Million (2023-2028)
  • Table 338. Mexico Data Annotation Tools, by Annotation Tools USD Million (2023-2028)
  • Table 339. Mexico Data Annotation Tools, by Data Annotation Types USD Million (2023-2028)
  • Table 340. Mexico Data Annotation Tools, by Price USD Million (2023-2028)
  • Table 341. Mexico Data Annotation Tools, by Data Annotation Techniques USD Million (2023-2028)
  • Table 342. Research Programs/Design for This Report
  • Table 343. Key Data Information from Secondary Sources
  • Table 344. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Data Annotation Tools: by End-User Industry USD Million (2017-2022)
  • Figure 5. Global Data Annotation Tools: by Annotation Tools USD Million (2017-2022)
  • Figure 6. Global Data Annotation Tools: by Data Annotation Types USD Million (2017-2022)
  • Figure 7. Global Data Annotation Tools: by Price USD Million (2017-2022)
  • Figure 8. Global Data Annotation Tools: by Data Annotation Techniques USD Million (2017-2022)
  • Figure 9. South America Data Annotation Tools Share (%), by Country
  • Figure 10. Asia Pacific Data Annotation Tools Share (%), by Country
  • Figure 11. Europe Data Annotation Tools Share (%), by Country
  • Figure 12. MEA Data Annotation Tools Share (%), by Country
  • Figure 13. North America Data Annotation Tools Share (%), by Country
  • Figure 14. Global Data Annotation Tools share by Players 2022 (%)
  • Figure 15. Global Data Annotation Tools share by Players (Top 3) 2022(%)
  • Figure 16. Global Data Annotation Tools share by Players (Top 5) 2022(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. Amazon Mechanical Turk (United States) Revenue, Net Income and Gross profit
  • Figure 19. Amazon Mechanical Turk (United States) Revenue: by Geography 2022
  • Figure 20. Lionbridge AI (United States) Revenue, Net Income and Gross profit
  • Figure 21. Lionbridge AI (United States) Revenue: by Geography 2022
  • Figure 22. Edgecase (United States) Revenue, Net Income and Gross profit
  • Figure 23. Edgecase (United States) Revenue: by Geography 2022
  • Figure 24. Scale AI (United States) Revenue, Net Income and Gross profit
  • Figure 25. Scale AI (United States) Revenue: by Geography 2022
  • Figure 26. CloudApp, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 27. CloudApp, Inc. (United States) Revenue: by Geography 2022
  • Figure 28. Hive AI (United States) Revenue, Net Income and Gross profit
  • Figure 29. Hive AI (United States) Revenue: by Geography 2022
  • Figure 30. Figure Eight (United States) Revenue, Net Income and Gross profit
  • Figure 31. Figure Eight (United States) Revenue: by Geography 2022
  • Figure 32. Humans in the Loop (Bulgaria) Revenue, Net Income and Gross profit
  • Figure 33. Humans in the Loop (Bulgaria) Revenue: by Geography 2022
  • Figure 34. Clickworker (Germany) Revenue, Net Income and Gross profit
  • Figure 35. Clickworker (Germany) Revenue: by Geography 2022
  • Figure 36. Appen (Australia) Revenue, Net Income and Gross profit
  • Figure 37. Appen (Australia) Revenue: by Geography 2022
  • Figure 38. Dbrain (Russia) Revenue, Net Income and Gross profit
  • Figure 39. Dbrain (Russia) Revenue: by Geography 2022
  • Figure 40. Webtunix AI (United States) Revenue, Net Income and Gross profit
  • Figure 41. Webtunix AI (United States) Revenue: by Geography 2022
  • Figure 42. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 43. IBM Corporation (United States) Revenue: by Geography 2022
  • Figure 44. Labelbox, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 45. Labelbox, Inc. (United States) Revenue: by Geography 2022
  • Figure 46. Trantor (United States) Revenue, Net Income and Gross profit
  • Figure 47. Trantor (United States) Revenue: by Geography 2022
  • Figure 48. Netguru (Poland) Revenue, Net Income and Gross profit
  • Figure 49. Netguru (Poland) Revenue: by Geography 2022
  • Figure 50. DataLoop (Israel) Revenue, Net Income and Gross profit
  • Figure 51. DataLoop (Israel) Revenue: by Geography 2022
  • Figure 52. Global Data Annotation Tools: by End-User Industry USD Million (2023-2028)
  • Figure 53. Global Data Annotation Tools: by Annotation Tools USD Million (2023-2028)
  • Figure 54. Global Data Annotation Tools: by Data Annotation Types USD Million (2023-2028)
  • Figure 55. Global Data Annotation Tools: by Price USD Million (2023-2028)
  • Figure 56. Global Data Annotation Tools: by Data Annotation Techniques USD Million (2023-2028)
  • Figure 57. South America Data Annotation Tools Share (%), by Country
  • Figure 58. Asia Pacific Data Annotation Tools Share (%), by Country
  • Figure 59. Europe Data Annotation Tools Share (%), by Country
  • Figure 60. MEA Data Annotation Tools Share (%), by Country
  • Figure 61. North America Data Annotation Tools Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Amazon Mechanical Turk (United States)
  • Lionbridge AI (United States)
  • Edgecase (United States)
  • Scale AI (United States)
  • CloudApp, Inc. (United States)
  • Hive AI (United States)
  • Figure Eight (United States)
  • Humans in the Loop (Bulgaria)
  • Clickworker (Germany)
  • Appen (Australia)
  • Dbrain (Russia)
  • Webtunix AI (United States)
  • IBM Corporation (United States)
  • Labelbox, Inc. (United States)
  • Trantor (United States)
  • Netguru (Poland)
  • DataLoop (Israel)
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Nov 2023 167 Pages 55 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global Data Annotation Tools Market Quantitative research analysis
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The standard version of the report profiles players such as Amazon Mechanical Turk (United States), Lionbridge AI (United States), Edgecase (United States), Scale AI (United States), CloudApp, Inc. (United States), Hive AI (United States), Figure Eight (United States), Humans in the Loop (Bulgaria), Clickworker (Germany), Appen (Australia), Dbrain (Russia), Webtunix AI (United States), IBM Corporation (United States), Labelbox, Inc. (United States), Trantor (United States), Netguru (Poland) and DataLoop (Israel) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Data Annotation Tools are Trending Due to the Online Search Engines Needs Huge Amount of Datasets to Improve the Quality of Its Search " is seen as one of major influencing trends for Data Annotation Tools Market during projected period 2022-2028.
The Data Annotation Tools market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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