
A data annotation tool is a cloud-based, on-premise, or containerized software solution that can be used to annotate production-grade training data for machine learning.
Data annotation tools are generally designed to be used with specific types of data, such as image, video, text, audio, spreadsheet, or sensor data
Highlights
The global Automated Data Annotation Tools market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Automated Data Annotation Tools is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Automated Data Annotation Tools is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Automated Data Annotation Tools in IT & Telecom is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Automated Data Annotation Tools include Appen Limited, Amazon Web Services, Inc., Clickworker GmbH, CloudApp, Inc., CloudFactory Limited, Cogito Tech LLC, Dataturks, Google LLC and Hive, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Automated Data Annotation Tools, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Automated Data Annotation Tools.
The Automated Data Annotation Tools market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Automated Data Annotation Tools market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Automated Data Annotation Tools companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Appen Limited
Amazon Web Services, Inc.
Clickworker GmbH
CloudApp, Inc.
CloudFactory Limited
Cogito Tech LLC
Dataturks
Google LLC
Hive
IBM Corporation
iMerit
Labelbox, Inc.
LionBridge AI
MonkeyLearn Inc.
Neurala, Inc.
Playment Inc.
Samasource Inc.
Scale, Inc.
Webtunix AI.
Segment by Type
Image/video
Text
Audio
Segment by Application
IT & Telecom
BFSI
Healthcare
Retail
Automotive
Agriculture
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Automated Data Annotation Tools companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Automated Data Annotation Tools Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Image/video
1.2.3 Text
1.2.4 Audio
1.3 Market by Application
1.3.1 Global Automated Data Annotation Tools Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 IT & Telecom
1.3.3 BFSI
1.3.4 Healthcare
1.3.5 Retail
1.3.6 Automotive
1.3.7 Agriculture
1.3.8 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Automated Data Annotation Tools Market Perspective (2018-2029)
2.2 Automated Data Annotation Tools Growth Trends by Region
2.2.1 Global Automated Data Annotation Tools Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Automated Data Annotation Tools Historic Market Size by Region (2018-2023)
2.2.3 Automated Data Annotation Tools Forecasted Market Size by Region (2024-2029)
2.3 Automated Data Annotation Tools Market Dynamics
2.3.1 Automated Data Annotation Tools Industry Trends
2.3.2 Automated Data Annotation Tools Market Drivers
2.3.3 Automated Data Annotation Tools Market Challenges
2.3.4 Automated Data Annotation Tools Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Automated Data Annotation Tools Players by Revenue
3.1.1 Global Top Automated Data Annotation Tools Players by Revenue (2018-2023)
3.1.2 Global Automated Data Annotation Tools Revenue Market Share by Players (2018-2023)
3.2 Global Automated Data Annotation Tools Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Automated Data Annotation Tools Revenue
3.4 Global Automated Data Annotation Tools Market Concentration Ratio
3.4.1 Global Automated Data Annotation Tools Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Automated Data Annotation Tools Revenue in 2022
3.5 Automated Data Annotation Tools Key Players Head office and Area Served
3.6 Key Players Automated Data Annotation Tools Product Solution and Service
3.7 Date of Enter into Automated Data Annotation Tools Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Automated Data Annotation Tools Breakdown Data by Type
4.1 Global Automated Data Annotation Tools Historic Market Size by Type (2018-2023)
4.2 Global Automated Data Annotation Tools Forecasted Market Size by Type (2024-2029)
5 Automated Data Annotation Tools Breakdown Data by Application
5.1 Global Automated Data Annotation Tools Historic Market Size by Application (2018-2023)
5.2 Global Automated Data Annotation Tools Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Automated Data Annotation Tools Market Size (2018-2029)
6.2 North America Automated Data Annotation Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Automated Data Annotation Tools Market Size by Country (2018-2023)
6.4 North America Automated Data Annotation Tools Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Automated Data Annotation Tools Market Size (2018-2029)
7.2 Europe Automated Data Annotation Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Automated Data Annotation Tools Market Size by Country (2018-2023)
7.4 Europe Automated Data Annotation Tools Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Automated Data Annotation Tools Market Size (2018-2029)
8.2 Asia-Pacific Automated Data Annotation Tools Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Automated Data Annotation Tools Market Size by Region (2018-2023)
8.4 Asia-Pacific Automated Data Annotation Tools Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Automated Data Annotation Tools Market Size (2018-2029)
9.2 Latin America Automated Data Annotation Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Automated Data Annotation Tools Market Size by Country (2018-2023)
9.4 Latin America Automated Data Annotation Tools Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Automated Data Annotation Tools Market Size (2018-2029)
10.2 Middle East & Africa Automated Data Annotation Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Automated Data Annotation Tools Market Size by Country (2018-2023)
10.4 Middle East & Africa Automated Data Annotation Tools Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Appen Limited
11.1.1 Appen Limited Company Detail
11.1.2 Appen Limited Business Overview
11.1.3 Appen Limited Automated Data Annotation Tools Introduction
11.1.4 Appen Limited Revenue in Automated Data Annotation Tools Business (2018-2023)
11.1.5 Appen Limited Recent Development
11.2 Amazon Web Services, Inc.
11.2.1 Amazon Web Services, Inc. Company Detail
11.2.2 Amazon Web Services, Inc. Business Overview
11.2.3 Amazon Web Services, Inc. Automated Data Annotation Tools Introduction
11.2.4 Amazon Web Services, Inc. Revenue in Automated Data Annotation Tools Business (2018-2023)
11.2.5 Amazon Web Services, Inc. Recent Development
11.3 Clickworker GmbH
11.3.1 Clickworker GmbH Company Detail
11.3.2 Clickworker GmbH Business Overview
11.3.3 Clickworker GmbH Automated Data Annotation Tools Introduction
11.3.4 Clickworker GmbH Revenue in Automated Data Annotation Tools Business (2018-2023)
11.3.5 Clickworker GmbH Recent Development
11.4 CloudApp, Inc.
11.4.1 CloudApp, Inc. Company Detail
11.4.2 CloudApp, Inc. Business Overview
11.4.3 CloudApp, Inc. Automated Data Annotation Tools Introduction
11.4.4 CloudApp, Inc. Revenue in Automated Data Annotation Tools Business (2018-2023)
11.4.5 CloudApp, Inc. Recent Development
11.5 CloudFactory Limited
11.5.1 CloudFactory Limited Company Detail
11.5.2 CloudFactory Limited Business Overview
11.5.3 CloudFactory Limited Automated Data Annotation Tools Introduction
11.5.4 CloudFactory Limited Revenue in Automated Data Annotation Tools Business (2018-2023)
11.5.5 CloudFactory Limited Recent Development
11.6 Cogito Tech LLC
11.6.1 Cogito Tech LLC Company Detail
11.6.2 Cogito Tech LLC Business Overview
11.6.3 Cogito Tech LLC Automated Data Annotation Tools Introduction
11.6.4 Cogito Tech LLC Revenue in Automated Data Annotation Tools Business (2018-2023)
11.6.5 Cogito Tech LLC Recent Development
11.7 Dataturks
11.7.1 Dataturks Company Detail
11.7.2 Dataturks Business Overview
11.7.3 Dataturks Automated Data Annotation Tools Introduction
11.7.4 Dataturks Revenue in Automated Data Annotation Tools Business (2018-2023)
11.7.5 Dataturks Recent Development
11.8 Google LLC
11.8.1 Google LLC Company Detail
11.8.2 Google LLC Business Overview
11.8.3 Google LLC Automated Data Annotation Tools Introduction
11.8.4 Google LLC Revenue in Automated Data Annotation Tools Business (2018-2023)
11.8.5 Google LLC Recent Development
11.9 Hive
11.9.1 Hive Company Detail
11.9.2 Hive Business Overview
11.9.3 Hive Automated Data Annotation Tools Introduction
11.9.4 Hive Revenue in Automated Data Annotation Tools Business (2018-2023)
11.9.5 Hive Recent Development
11.10 IBM Corporation
11.10.1 IBM Corporation Company Detail
11.10.2 IBM Corporation Business Overview
11.10.3 IBM Corporation Automated Data Annotation Tools Introduction
11.10.4 IBM Corporation Revenue in Automated Data Annotation Tools Business (2018-2023)
11.10.5 IBM Corporation Recent Development
11.11 iMerit
11.11.1 iMerit Company Detail
11.11.2 iMerit Business Overview
11.11.3 iMerit Automated Data Annotation Tools Introduction
11.11.4 iMerit Revenue in Automated Data Annotation Tools Business (2018-2023)
11.11.5 iMerit Recent Development
11.12 Labelbox, Inc.
11.12.1 Labelbox, Inc. Company Detail
11.12.2 Labelbox, Inc. Business Overview
11.12.3 Labelbox, Inc. Automated Data Annotation Tools Introduction
11.12.4 Labelbox, Inc. Revenue in Automated Data Annotation Tools Business (2018-2023)
11.12.5 Labelbox, Inc. Recent Development
11.13 LionBridge AI
11.13.1 LionBridge AI Company Detail
11.13.2 LionBridge AI Business Overview
11.13.3 LionBridge AI Automated Data Annotation Tools Introduction
11.13.4 LionBridge AI Revenue in Automated Data Annotation Tools Business (2018-2023)
11.13.5 LionBridge AI Recent Development
11.14 MonkeyLearn Inc.
11.14.1 MonkeyLearn Inc. Company Detail
11.14.2 MonkeyLearn Inc. Business Overview
11.14.3 MonkeyLearn Inc. Automated Data Annotation Tools Introduction
11.14.4 MonkeyLearn Inc. Revenue in Automated Data Annotation Tools Business (2018-2023)
11.14.5 MonkeyLearn Inc. Recent Development
11.15 Neurala, Inc.
11.15.1 Neurala, Inc. Company Detail
11.15.2 Neurala, Inc. Business Overview
11.15.3 Neurala, Inc. Automated Data Annotation Tools Introduction
11.15.4 Neurala, Inc. Revenue in Automated Data Annotation Tools Business (2018-2023)
11.15.5 Neurala, Inc. Recent Development
11.16 Playment Inc.
11.16.1 Playment Inc. Company Detail
11.16.2 Playment Inc. Business Overview
11.16.3 Playment Inc. Automated Data Annotation Tools Introduction
11.16.4 Playment Inc. Revenue in Automated Data Annotation Tools Business (2018-2023)
11.16.5 Playment Inc. Recent Development
11.17 Samasource Inc.
11.17.1 Samasource Inc. Company Detail
11.17.2 Samasource Inc. Business Overview
11.17.3 Samasource Inc. Automated Data Annotation Tools Introduction
11.17.4 Samasource Inc. Revenue in Automated Data Annotation Tools Business (2018-2023)
11.17.5 Samasource Inc. Recent Development
11.18 Scale, Inc.
11.18.1 Scale, Inc. Company Detail
11.18.2 Scale, Inc. Business Overview
11.18.3 Scale, Inc. Automated Data Annotation Tools Introduction
11.18.4 Scale, Inc. Revenue in Automated Data Annotation Tools Business (2018-2023)
11.18.5 Scale, Inc. Recent Development
11.19 Webtunix AI.
11.19.1 Webtunix AI. Company Detail
11.19.2 Webtunix AI. Business Overview
11.19.3 Webtunix AI. Automated Data Annotation Tools Introduction
11.19.4 Webtunix AI. Revenue in Automated Data Annotation Tools Business (2018-2023)
11.19.5 Webtunix AI. Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Appen Limited
Amazon Web Services, Inc.
Clickworker GmbH
CloudApp, Inc.
CloudFactory Limited
Cogito Tech LLC
Dataturks
Google LLC
Hive
IBM Corporation
iMerit
Labelbox, Inc.
LionBridge AI
MonkeyLearn Inc.
Neurala, Inc.
Playment Inc.
Samasource Inc.
Scale, Inc.
Webtunix AI.
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*If Applicable.
