Industry: Service & Software
Published Date: 2024-01-17
Pages: 107 Pages
Report ld: 2273276
Request Sample
Customized Report
Data labeling software provides a tool set for businesses to turn unlabeled data into labeled data and build corresponding artificial intelligence algorithms. Within these tools, the user inputs a given dataset and the software provides a label through machine learning-assisted labeling, a human taskforce, or the user themselves.
The global Data Labeling Software market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Data Labeling Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Data Labeling Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Data Labeling Software in Government is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Data Labeling Software include AWS, Figure Eight, Hive, Playment, V7, Clarifai, CloudFactory, Labelbox and Alegion, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Data Labeling Software, 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 Data Labeling Software.
MARKET SEGMENTATION
REPORT SCOPE
The Data Labeling Software market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Data Labeling Software 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 Data Labeling Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
CHAPTER OUTLINE
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 Data Labeling Software 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 main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data Labeling Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud-Based
1.2.3 On-Premises
1.3 Market by Application
1.3.1 Global Data Labeling Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Government
1.3.3 Retail and eCommerce
1.3.4 Healthcare and Life Sciences
1.3.5 BFSI
1.3.6 Transportation and Logistics
1.3.7 Telecom and IT
1.3.8 Manufacturing
1.3.9 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data Labeling Software Market Perspective (2019-2030)
2.2 Data Labeling Software Growth Trends by Region
2.2.1 Global Data Labeling Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Data Labeling Software Historic Market Size by Region (2019-2024)
2.2.3 Data Labeling Software Forecasted Market Size by Region (2025-2030)
2.3 Data Labeling Software Market Dynamics
2.3.1 Data Labeling Software Industry Trends
2.3.2 Data Labeling Software Market Drivers
2.3.3 Data Labeling Software Market Challenges
2.3.4 Data Labeling Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data Labeling Software Players by Revenue
3.1.1 Global Top Data Labeling Software Players by Revenue (2019-2024)
3.1.2 Global Data Labeling Software Revenue Market Share by Players (2019-2024)
3.2 Global Data Labeling Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Data Labeling Software Revenue
3.4 Global Data Labeling Software Market Concentration Ratio
3.4.1 Global Data Labeling Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data Labeling Software Revenue in 2023
3.5 Data Labeling Software Key Players Head office and Area Served
3.6 Key Players Data Labeling Software Product Solution and Service
3.7 Date of Enter into Data Labeling Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Data Labeling Software Breakdown Data by Type
4.1 Global Data Labeling Software Historic Market Size by Type (2019-2024)
4.2 Global Data Labeling Software Forecasted Market Size by Type (2025-2030)
5 Data Labeling Software Breakdown Data by Application
5.1 Global Data Labeling Software Historic Market Size by Application (2019-2024)
5.2 Global Data Labeling Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Data Labeling Software Market Size (2019-2030)
6.2 North America Data Labeling Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Data Labeling Software Market Size by Country (2019-2024)
6.4 North America Data Labeling Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data Labeling Software Market Size (2019-2030)
7.2 Europe Data Labeling Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Data Labeling Software Market Size by Country (2019-2024)
7.4 Europe Data Labeling Software Market Size by Country (2025-2030)
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 Data Labeling Software Market Size (2019-2030)
8.2 Asia-Pacific Data Labeling Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Data Labeling Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Data Labeling Software Market Size by Region (2025-2030)
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 Data Labeling Software Market Size (2019-2030)
9.2 Latin America Data Labeling Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Data Labeling Software Market Size by Country (2019-2024)
9.4 Latin America Data Labeling Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Data Labeling Software Market Size (2019-2030)
10.2 Middle East & Africa Data Labeling Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Data Labeling Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Data Labeling Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 AWS
11.1.1 AWS Company Detail
11.1.2 AWS Business Overview
11.1.3 AWS Data Labeling Software Introduction
11.1.4 AWS Revenue in Data Labeling Software Business (2019-2024)
11.1.5 AWS Recent Development
11.2 Figure Eight
11.2.1 Figure Eight Company Detail
11.2.2 Figure Eight Business Overview
11.2.3 Figure Eight Data Labeling Software Introduction
11.2.4 Figure Eight Revenue in Data Labeling Software Business (2019-2024)
11.2.5 Figure Eight Recent Development
11.3 Hive
11.3.1 Hive Company Detail
11.3.2 Hive Business Overview
11.3.3 Hive Data Labeling Software Introduction
11.3.4 Hive Revenue in Data Labeling Software Business (2019-2024)
11.3.5 Hive Recent Development
11.4 Playment
11.4.1 Playment Company Detail
11.4.2 Playment Business Overview
11.4.3 Playment Data Labeling Software Introduction
11.4.4 Playment Revenue in Data Labeling Software Business (2019-2024)
11.4.5 Playment Recent Development
11.5 V7
11.5.1 V7 Company Detail
11.5.2 V7 Business Overview
11.5.3 V7 Data Labeling Software Introduction
11.5.4 V7 Revenue in Data Labeling Software Business (2019-2024)
11.5.5 V7 Recent Development
11.6 Clarifai
11.6.1 Clarifai Company Detail
11.6.2 Clarifai Business Overview
11.6.3 Clarifai Data Labeling Software Introduction
11.6.4 Clarifai Revenue in Data Labeling Software Business (2019-2024)
11.6.5 Clarifai Recent Development
11.7 CloudFactory
11.7.1 CloudFactory Company Detail
11.7.2 CloudFactory Business Overview
11.7.3 CloudFactory Data Labeling Software Introduction
11.7.4 CloudFactory Revenue in Data Labeling Software Business (2019-2024)
11.7.5 CloudFactory Recent Development
11.8 Labelbox
11.8.1 Labelbox Company Detail
11.8.2 Labelbox Business Overview
11.8.3 Labelbox Data Labeling Software Introduction
11.8.4 Labelbox Revenue in Data Labeling Software Business (2019-2024)
11.8.5 Labelbox Recent Development
11.9 Alegion
11.9.1 Alegion Company Detail
11.9.2 Alegion Business Overview
11.9.3 Alegion Data Labeling Software Introduction
11.9.4 Alegion Revenue in Data Labeling Software Business (2019-2024)
11.9.5 Alegion Recent Development
11.10 BasicAI
11.10.1 BasicAI Company Detail
11.10.2 BasicAI Business Overview
11.10.3 BasicAI Data Labeling Software Introduction
11.10.4 BasicAI Revenue in Data Labeling Software Business (2019-2024)
11.10.5 BasicAI Recent Development
11.11 Dataloop AI
11.11.1 Dataloop AI Company Detail
11.11.2 Dataloop AI Business Overview
11.11.3 Dataloop AI Data Labeling Software Introduction
11.11.4 Dataloop AI Revenue in Data Labeling Software Business (2019-2024)
11.11.5 Dataloop AI Recent Development
11.12 Datasaur
11.12.1 Datasaur Company Detail
11.12.2 Datasaur Business Overview
11.12.3 Datasaur Data Labeling Software Introduction
11.12.4 Datasaur Revenue in Data Labeling Software Business (2019-2024)
11.12.5 Datasaur Recent Development
11.13 DefinedCrowd
11.13.1 DefinedCrowd Company Detail
11.13.2 DefinedCrowd Business Overview
11.13.3 DefinedCrowd Data Labeling Software Introduction
11.13.4 DefinedCrowd Revenue in Data Labeling Software Business (2019-2024)
11.13.5 DefinedCrowd Recent Development
11.14 Diffgram
11.14.1 Diffgram Company Detail
11.14.2 Diffgram Business Overview
11.14.3 Diffgram Data Labeling Software Introduction
11.14.4 Diffgram Revenue in Data Labeling Software Business (2019-2024)
11.14.5 Diffgram Recent Development
11.15 edgecase.ai
11.15.1 edgecase.ai Company Detail
11.15.2 edgecase.ai Business Overview
11.15.3 edgecase.ai Data Labeling Software Introduction
11.15.4 edgecase.ai Revenue in Data Labeling Software Business (2019-2024)
11.15.5 edgecase.ai Recent Development
11.16 Heartex
11.16.1 Heartex Company Detail
11.16.2 Heartex Business Overview
11.16.3 Heartex Data Labeling Software Introduction
11.16.4 Heartex Revenue in Data Labeling Software Business (2019-2024)
11.16.5 Heartex Recent Development
11.17 LinkedAi
11.17.1 LinkedAi Company Detail
11.17.2 LinkedAi Business Overview
11.17.3 LinkedAi Data Labeling Software Introduction
11.17.4 LinkedAi Revenue in Data Labeling Software Business (2019-2024)
11.17.5 LinkedAi Recent Development
11.18 Lionbridge
11.18.1 Lionbridge Company Detail
11.18.2 Lionbridge Business Overview
11.18.3 Lionbridge Data Labeling Software Introduction
11.18.4 Lionbridge Revenue in Data Labeling Software Business (2019-2024)
11.18.5 Lionbridge Recent Development
11.19 Sixgill
11.19.1 Sixgill Company Detail
11.19.2 Sixgill Business Overview
11.19.3 Sixgill Data Labeling Software Introduction
11.19.4 Sixgill Revenue in Data Labeling Software Business (2019-2024)
11.19.5 Sixgill Recent Development
11.20 super.AI
11.20.1 super.AI Company Detail
11.20.2 super.AI Business Overview
11.20.3 super.AI Data Labeling Software Introduction
11.20.4 super.AI Revenue in Data Labeling Software Business (2019-2024)
11.20.5 super.AI Recent Development
11.21 SuperAnnotate
11.21.1 SuperAnnotate Company Detail
11.21.2 SuperAnnotate Business Overview
11.21.3 SuperAnnotate Data Labeling Software Introduction
11.21.4 SuperAnnotate Revenue in Data Labeling Software Business (2019-2024)
11.21.5 SuperAnnotate Recent Development
11.22 Deep Systems
11.22.1 Deep Systems Company Detail
11.22.2 Deep Systems Business Overview
11.22.3 Deep Systems Data Labeling Software Introduction
11.22.4 Deep Systems Revenue in Data Labeling Software Business (2019-2024)
11.22.5 Deep Systems Recent Development
11.23 TaQadam
11.23.1 TaQadam Company Detail
11.23.2 TaQadam Business Overview
11.23.3 TaQadam Data Labeling Software Introduction
11.23.4 TaQadam Revenue in Data Labeling Software Business (2019-2024)
11.23.5 TaQadam Recent Development
11.24 TrainingData.io
11.24.1 TrainingData.io Company Detail
11.24.2 TrainingData.io Business Overview
11.24.3 TrainingData.io Data Labeling Software Introduction
11.24.4 TrainingData.io Revenue in Data Labeling Software Business (2019-2024)
11.24.5 TrainingData.io 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
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
Related Reports
The global market for Data Labeling Software was estimated to be worth US$ 1715 million in 2025 and is projected to reach US$ 5379 million, growing at a CAGR of 17.3% from 2026 to 2032.
Published Date: 2026-06-27
Pages: 162
USD 3950.00
(Single User License)
The global Data Labeling Software market size was US$ 1715 million in 2025 and is forecast to reach a readjusted size of US$ 5379 million by 2032 with a CAGR of 17.3% during the forecast period 2026-2032.
Published Date: 2026-06-27
Pages: 175
USD 4250.00
(Single User License)
The global Data Labeling Software market is projected to grow from US$ 1715 million in 2025 to US$ 5379 million by 2032, at a CAGR of 17.3% (2026-2032), driven by critical product segments and diverse end‑use applications.
Published Date: 2026-06-27
Pages: 178
USD 4900.00
(Single User License)
The global Data Labeling Software market was valued at US$ 1715 million in 2025 and is anticipated to reach US$ 5379 million by 2032, at a CAGR of 17.3% from 2026 to 2032.
Published Date: 2026-06-27
Pages: 178
USD 2900.00
(Single User License)
The global Data Labeling Software market is projected to grow from US$ 72.2 million in 2024 to US$ 217 million by 2031, at a CAGR of 17.3% (2025-2031), driven by critical product segments and diverse end‑use applications.
Published Date: 2025-10-23
Pages: 163
USD 4900.00
(Single User License)
The global market for Data Labeling Software was estimated to be worth US$ 72.2 million in 2024 and is forecast to a readjusted size of US$ 217 million by 2031 with a CAGR of 17.3% during the forecast period 2025-2031.
Published Date: 2025-02-20
Pages: 155
USD 3950.00
(Single User License)
The global market for Data Labeling Software was valued at US$ 72.2 million in the year 2024 and is projected to reach a revised size of US$ 217 million by 2031, growing at a CAGR of 17.3% during the forecast period.
Published Date: 2025-02-20
Pages: 105
USD 2900.00
(Single User License)
Data labeling software provides a tool set for businesses to turn unlabeled data into labeled data and build corresponding artificial intelligence algorithms. Within these tools, the user inputs a given dataset and the software provides a label through machine learning-assisted labeling, a human taskforce, or the user themselves.
Published Date: 2024-04-16
Pages: 127
USD 4900.00
(Single User License)
The global market for Data Labeling Software was estimated to be worth US$ 1715 million in 2025 and is projected to reach US$ 5379 million, growing at a CAGR of 17.3% from 2026 to 2032.
Published: 2026-06-27
Pages: 162
The global Data Labeling Software market size was US$ 1715 million in 2025 and is forecast to reach a readjusted size of US$ 5379 million by 2032 with a CAGR of 17.3% during the forecast period 2026-2032.
Published: 2026-06-27
Pages: 175
The global Data Labeling Software market is projected to grow from US$ 1715 million in 2025 to US$ 5379 million by 2032, at a CAGR of 17.3% (2026-2032), driven by critical product segments and diverse end‑use applications.
Published: 2026-06-27
Pages: 178
The global Data Labeling Software market was valued at US$ 1715 million in 2025 and is anticipated to reach US$ 5379 million by 2032, at a CAGR of 17.3% from 2026 to 2032.
Published: 2026-06-27
Pages: 178
The global Data Labeling Software market is projected to grow from US$ 72.2 million in 2024 to US$ 217 million by 2031, at a CAGR of 17.3% (2025-2031), driven by critical product segments and diverse end‑use applications.
Published: 2025-10-23
Pages: 163
The global market for Data Labeling Software was estimated to be worth US$ 72.2 million in 2024 and is forecast to a readjusted size of US$ 217 million by 2031 with a CAGR of 17.3% during the forecast period 2025-2031.
Published: 2025-02-20
Pages: 155
The global market for Data Labeling Software was valued at US$ 72.2 million in the year 2024 and is projected to reach a revised size of US$ 217 million by 2031, growing at a CAGR of 17.3% during the forecast period.
Published: 2025-02-20
Pages: 105
Data labeling software provides a tool set for businesses to turn unlabeled data into labeled data and build corresponding artificial intelligence algorithms. Within these tools, the user inputs a given dataset and the software provides a label through machine learning-assisted labeling, a human taskforce, or the user themselves.
Published: 2024-04-16
Pages: 127
REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
REPORT SCOPE
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
INTEREST IN THIS REPORT?
Get A Free Sample
Request For Quotation
OR
NEED A CUSTOMIZED REPORT?
Customized Report
Request Sample
Pre-Order Enquiry
Add to Cart
Buy Now