Market Overview:
The global data labeling software market is expected to grow at a CAGR of xx% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for data labeling software across different industries, such as government, retail and eCommerce, healthcare and life sciences, BFSI, transportation and logistics, telecom and IT, manufacturing, and others. Additionally, the growing trend of big data is also fueling the growth of this market.
Product Definition:
Data labeling software is a type of computer software used to assign labels to data. The purpose of data labeling software is to make it easier for humans to understand and work with large sets of data.
Cloud-Based:
Cloud-based software is a type of data labeling software that enables users to label any kind of unstructured and structured data with the help of automatic tools. The major benefit offered by cloud-based solutions is that it helps in storing the data on a remote server, which offers high security as well as allows access to authorized personnel only. It also helps organizations in reducing their IT costs by eliminating hardware and storage requirements.
On-Premises:
On-premises software is a type of data labeling software that is installed and used on the end user's premises. The end users can access the software directly without any third-party involvement. On-premises data labeling solutions are easy to install as they do not require any additional hardware or cloud subscription.
Application Insights:
The global data labeling software market is segmented by application into government, retail and e-commerce, healthcare and life sciences, BFSI, transportation and logistics, telecom IT & media, manufacturing. The BFSI sector accounted for the largest revenue share in 2017 owing to the increasing usage of data labeling solutions in financial applications such as transaction processing. Furthermore, growing demand for automation in banking services coupled with a surge in the adoption of smartphones is expected to drive growth over the forecast period.
The healthcare industry has been rapidly adopting technology to improve patient safety along with enhancing operational efficiency across organizations. Labels provide information on drugs including manufacturer name; composition; expiry date; batch number etc., which enables medical professionals to identify product quality at time of use during treatment or surgery.
Regional Analysis:
North America dominated the global market in 2017. The region is expected to retain its dominance over the forecast period as well. This can be attributed to growing adoption of cloud-based data labeling software by North American enterprises, which has resulted in higher productivity and enhanced business processes across various industries. Moreover, increasing government regulations pertaining to data protection are also driving regional growth. For instance, European Union’s General Data Protection Regulation (GDPR) comes into effect on May 25th 2018 and will regulate how organizations process personal information on a broader scale across all sectors within the EU28 countries including healthcare and life sciences, BFSI etc.).
Asia Pacific is anticipated to emerge as a lucrative regional market during the forecast period owing to rapid digitalization taking place within economies such as India and China along with other South East Asian nations (Indonesia).
Growth Factors:
- Increasing demand for data labeling software from small and medium-sized businesses (SMBs) due to the growing need for data management and analysis.
- The increasing popularity of big data and its related technologies is driving the growth of the data labeling software market.
- Proliferation of social media platforms has resulted in an increase in the volume of unstructured data, which is fueling the demand for data labeling software solutions.
- Growing awareness about benefits offered by big data analytics is prompting organizations to adopt these solutions, which is contributing to the growth of the market fordata labeling software .
Scope Of The Report
Report Attributes
Report Details
Report Title
Data Labeling Software Market Research Report
By Type
Cloud-Based, On-Premises
By Application
Government, Retail and eCommerce, Healthcare and Life Sciences, BFSI, Transportation and Logistics, Telecom and IT, Manufacturing, Others
By Companies
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
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
188
Number of Tables & Figures
132
Customization Available
Yes, the report can be customized as per your need.
Global Data Labeling Software Market Report Segments:
The global Data Labeling Software market is segmented on the basis of:
Types
Cloud-Based, On-Premises
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Government, Retail and eCommerce, Healthcare and Life Sciences, BFSI, Transportation and Logistics, Telecom and IT, Manufacturing, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- 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
Highlights of The Data Labeling Software Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Cloud-Based
- On-Premises
- By Application:
- Government
- Retail and eCommerce
- Healthcare and Life Sciences
- BFSI
- Transportation and Logistics
- Telecom and IT
- Manufacturing
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Data Labeling Software Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Data labeling software is a type of software that helps users organize and label data. This can be done manually or with the help of the software.
Some of the major companies in the data labeling software market are 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.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Data Labeling Software Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Data Labeling Software Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Data Labeling Software Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Data Labeling Software Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Data Labeling Software Market Size & Forecast, 2018-2028
4.5.1 Data Labeling Software Market Size and Y-o-Y Growth
4.5.2 Data Labeling Software Market Absolute $ Opportunity
Chapter 5 Global Data Labeling Software Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Data Labeling Software Market Size Forecast by Type
5.2.1 Cloud-Based
5.2.2 On-Premises
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Data Labeling Software Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Data Labeling Software Market Size Forecast by Applications
6.2.1 Government
6.2.2 Retail and eCommerce
6.2.3 Healthcare and Life Sciences
6.2.4 BFSI
6.2.5 Transportation and Logistics
6.2.6 Telecom and IT
6.2.7 Manufacturing
6.2.8 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Data Labeling Software Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Data Labeling Software Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Data Labeling Software Analysis and Forecast
9.1 Introduction
9.2 North America Data Labeling Software Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Data Labeling Software Market Size Forecast by Type
9.6.1 Cloud-Based
9.6.2 On-Premises
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Data Labeling Software Market Size Forecast by Applications
9.10.1 Government
9.10.2 Retail and eCommerce
9.10.3 Healthcare and Life Sciences
9.10.4 BFSI
9.10.5 Transportation and Logistics
9.10.6 Telecom and IT
9.10.7 Manufacturing
9.10.8 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Data Labeling Software Analysis and Forecast
10.1 Introduction
10.2 Europe Data Labeling Software Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Data Labeling Software Market Size Forecast by Type
10.6.1 Cloud-Based
10.6.2 On-Premises
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Data Labeling Software Market Size Forecast by Applications
10.10.1 Government
10.10.2 Retail and eCommerce
10.10.3 Healthcare and Life Sciences
10.10.4 BFSI
10.10.5 Transportation and Logistics
10.10.6 Telecom and IT
10.10.7 Manufacturing
10.10.8 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Data Labeling Software Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Data Labeling Software Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Data Labeling Software Market Size Forecast by Type
11.6.1 Cloud-Based
11.6.2 On-Premises
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Data Labeling Software Market Size Forecast by Applications
11.10.1 Government
11.10.2 Retail and eCommerce
11.10.3 Healthcare and Life Sciences
11.10.4 BFSI
11.10.5 Transportation and Logistics
11.10.6 Telecom and IT
11.10.7 Manufacturing
11.10.8 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Data Labeling Software Analysis and Forecast
12.1 Introduction
12.2 Latin America Data Labeling Software Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Data Labeling Software Market Size Forecast by Type
12.6.1 Cloud-Based
12.6.2 On-Premises
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Data Labeling Software Market Size Forecast by Applications
12.10.1 Government
12.10.2 Retail and eCommerce
12.10.3 Healthcare and Life Sciences
12.10.4 BFSI
12.10.5 Transportation and Logistics
12.10.6 Telecom and IT
12.10.7 Manufacturing
12.10.8 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Data Labeling Software Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Data Labeling Software Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Data Labeling Software Market Size Forecast by Type
13.6.1 Cloud-Based
13.6.2 On-Premises
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Data Labeling Software Market Size Forecast by Applications
13.10.1 Government
13.10.2 Retail and eCommerce
13.10.3 Healthcare and Life Sciences
13.10.4 BFSI
13.10.5 Transportation and Logistics
13.10.6 Telecom and IT
13.10.7 Manufacturing
13.10.8 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Data Labeling Software Market: Competitive Dashboard
14.2 Global Data Labeling Software Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 AWS
14.3.2 Figure Eight
14.3.3 Hive
14.3.4 Playment
14.3.5 V7
14.3.6 Clarifai
14.3.7 CloudFactory
14.3.8 Labelbox
14.3.9 Alegion
14.3.10 BasicAI
14.3.11 Dataloop AI
14.3.12 Datasaur
14.3.13 DefinedCrowd
14.3.14 Diffgram
14.3.15 edgecase.ai
14.3.16 Heartex
14.3.17 LinkedAi
14.3.18 Lionbridge
14.3.19 Sixgill
14.3.20 super.AI
14.3.21 SuperAnnotate
14.3.22 Deep Systems
14.3.23 TaQadam
14.3.24 TrainingData.io
