Report overview
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.
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. This report contains market size and forecasts of Data Labeling Software in global, including the following market information:
Global Data Labeling Software Market Revenue, 2018-2023, 2024-2030, ($ millions)
Global top five companies in 2022 (%)
The global Data Labeling Software market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Cloud-Based Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Data Labeling Software include AWS, Figure Eight, Hive, Playment, V7, Clarifai, CloudFactory, Labelbox and Alegion, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Data Labeling Software companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Data Labeling Software Market, by Type, 2018-2023, 2024-2030 ($ millions)
Global Data Labeling Software Market Segment Percentages, by Type, 2022 (%)
Cloud-Based
On-Premises
Global Data Labeling Software Market, by Application, 2018-2023, 2024-2030 ($ millions)
Global Data Labeling Software Market Segment Percentages, by Application, 2022 (%)
Government
Retail and eCommerce
Healthcare and Life Sciences
BFSI
Transportation and Logistics
Telecom and IT
Manufacturing
Others
Global Data Labeling Software Market, By Region and Country, 2018-2023, 2024-2030 ($ Millions)
Global Data Labeling Software Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Data Labeling Software revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Data Labeling Software revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
AWS
Figure Eight
Hive
Playment
V7
Clarifai
CloudFactory
Labelbox
Alegion
BasicAI
Dataloop AI
Datasaur
DefinedCrowd
Diffgram
edgecase.ai
Heartex
LinkedAi
Lionbridge
Sixgill
super.AI
SuperAnnotate
Deep Systems
TaQadam
TrainingData.io
Outline of Major Chapters:
Chapter 1: Introduces the definition of Data Labeling Software, market overview.
Chapter 2: Global Data Labeling Software market size in revenue.
Chapter 3: Detailed analysis of Data Labeling Software company competitive landscape, revenue and 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: Sales of Data Labeling Software in regional level and country level. 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 of each country in the world.
Chapter 7: 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 8: The main points and conclusions of the report.
