Market Overview:
The global data labeling tools 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 tools across different industries, such as IT, automotive, government, healthcare, financial services, retail and others. Additionally, the growing trend of big data and analytics is also fueling the growth of this market. However, lack of awareness about data labeling tools among end users may restrain the growth of this market during the forecast period.
Product Definition:
Data labeling tools are used to identify and label specific data points in a dataset. This can be helpful for identifying trends and patterns, as well as for troubleshooting issues with the data. Data labeling tools can also help to ensure that the data is accurately interpreted by humans and machines.
Cloud-Based:
Cloud-based solutions are software and services that provide functionality to manage, store, analyze and deliver data. It is an umbrella term for any information technology system that provides remote access to data or applications across multiple platforms. Cloud computing is also known as cloud networking which involves sharing resources and systems among different computers connected through a network.
On-Premises:
On-premises is a term used for the software and hardware systems that are present on the customer's premises. The most common type of on-premises deployment includes database servers, application servers, and web hosting servers. On-premise data labeling tools can be integrated with any cloud service provider’s API to allow users to label their data in various formats using different tools available for different operating systems such as Windows, Linux or Mac OS X.
Application Insights:
The global data labeling tools market has been segmented into six applications, namely IT, automotive, government, healthcare, financial services retail and others. The IT application segment accounted for the largest revenue share in 2016 and is expected to continue its dominance over the forecast period. This can be attributed to increasing use of data labeling tools by various industries such as banking and financial services for regulatory compliance purposes.
The growing importance of information technology sector in emerging economies such as India and China on account of rapid growth in manufacturing sectors coupled with stringent regulations regarding safety standards is anticipated to drive demand over the forecast period. In addition to this factor several other factors including ease of use while complying with complex regulations are responsible for driving demand from this region especially when compared against North America or Europe regions where similar solutions are used widely across multiple industries also driving growth globally.
Regional Analysis:
North America dominated the global market in 2017. The region is expected to maintain its position during the forecast period owing to high demand for data labeling solutions coupled with a large number of IT and cloud service providers. Moreover, government initiatives such as EU Data Protection Directive (DP Directive) are also driving regional growth. DP Directive sets out rules on how personal data may be processed by organizations and individuals in the European Union (EU). It establishes a general framework forData Protection within the EU Member States, which will replace existing national laws on Data Protection at individual level after 25 May 2018.
Asia Pacific is anticipated to witness significant growth over the forecast period owing rising investments by major players along with increasing adoption of cloud services in emerging economies such as India and China.
Growth Factors:
- Increasing demand for data labeling services from various industries for accurate and timely analysis of data
- Proliferation of big data and the need to make it more meaningful and actionable
- Growing number of startups that are focusing on developing innovative data labeling tools
- Rising awareness about the benefits of using data labeling tools among businesses
- Emergence of new applications areas for which data needs to be labeled
Scope Of The Report
Report Attributes
Report Details
Report Title
Data Labeling Tools Market Research Report
By Type
Cloud-Based, On-Premises
By Application
IT, Automotive, Government, Healthcare, Financial Services, Retail, Others
By Companies
Annotate.com, Appen Limited, CloudApp, Cogito Tech LLC, Deep Systems, Labelbox, Inc, LightTag, Lotus Quality Assurance, Playment Inc, Tagtog Sp. z o.o, CloudFactory Limited, ClickWorker GmbH, Alegion, Figure Eight Inc., Amazon Mechanical Turk, Inc, Explosion AI GMbH, Mighty AI, Inc., Trilldata Technologies Pvt Ltd, Scale AI, Inc., Google LLC, Lionbridge Technologies, Inc, SuperAnnotate LLC
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
156
Number of Tables & Figures
110
Customization Available
Yes, the report can be customized as per your need.
Global Data Labeling Tools Market Report Segments:
The global Data Labeling Tools 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
IT, Automotive, Government, Healthcare, Financial Services, Retail, 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:
- Annotate.com
- Appen Limited
- CloudApp
- Cogito Tech LLC
- Deep Systems
- Labelbox, Inc
- LightTag
- Lotus Quality Assurance
- Playment Inc
- Tagtog Sp. z o.o
- CloudFactory Limited
- ClickWorker GmbH
- Alegion
- Figure Eight Inc.
- Amazon Mechanical Turk, Inc
- Explosion AI GMbH
- Mighty AI, Inc.
- Trilldata Technologies Pvt Ltd
- Scale AI, Inc.
- Google LLC
- Lionbridge Technologies, Inc
- SuperAnnotate LLC
Highlights of The Data Labeling Tools 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:
- IT
- Automotive
- Government
- Healthcare
- Financial Services
- Retail
- 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 Tools 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.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
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 tools are software programs that help users label data in a way that is easy to understand and use. This can be helpful when working with data that is complex or difficult to read.
Some of the major companies in the data labeling tools market are Annotate.com, Appen Limited, CloudApp, Cogito Tech LLC, Deep Systems, Labelbox, Inc, LightTag, Lotus Quality Assurance, Playment Inc, Tagtog Sp. z o.o, CloudFactory Limited, ClickWorker GmbH, Alegion, Figure Eight Inc., Amazon Mechanical Turk, Inc, Explosion AI GMbH, Mighty AI, Inc., Trilldata Technologies Pvt Ltd, Scale AI, Inc., Google LLC, Lionbridge Technologies, Inc, SuperAnnotate LLC.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Data Labeling Tools 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 Tools Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Data Labeling Tools 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 Tools 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 Tools Market Size & Forecast, 2020-2028
4.5.1 Data Labeling Tools Market Size and Y-o-Y Growth
4.5.2 Data Labeling Tools Market Absolute $ Opportunity
Chapter 5 Global 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 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 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 Market Size Forecast by Applications
6.2.1 IT
6.2.2 Automotive
6.2.3 Government
6.2.4 Healthcare
6.2.5 Financial Services
6.2.6 Retail
6.2.7 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Data Labeling Tools 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 Tools 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 Analysis and Forecast
9.1 Introduction
9.2 North America 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 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 Market Size Forecast by Applications
9.10.1 IT
9.10.2 Automotive
9.10.3 Government
9.10.4 Healthcare
9.10.5 Financial Services
9.10.6 Retail
9.10.7 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 Analysis and Forecast
10.1 Introduction
10.2 Europe 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 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 Market Size Forecast by Applications
10.10.1 IT
10.10.2 Automotive
10.10.3 Government
10.10.4 Healthcare
10.10.5 Financial Services
10.10.6 Retail
10.10.7 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 Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific 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 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 Market Size Forecast by Applications
11.10.1 IT
11.10.2 Automotive
11.10.3 Government
11.10.4 Healthcare
11.10.5 Financial Services
11.10.6 Retail
11.10.7 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 Analysis and Forecast
12.1 Introduction
12.2 Latin America 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 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 Market Size Forecast by Applications
12.10.1 IT
12.10.2 Automotive
12.10.3 Government
12.10.4 Healthcare
12.10.5 Financial Services
12.10.6 Retail
12.10.7 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) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) 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) 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) Market Size Forecast by Applications
13.10.1 IT
13.10.2 Automotive
13.10.3 Government
13.10.4 Healthcare
13.10.5 Financial Services
13.10.6 Retail
13.10.7 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 Tools Market: Competitive Dashboard
14.2 Global Data Labeling Tools Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Annotate.com
14.3.2 Appen Limited
14.3.3 CloudApp
14.3.4 Cogito Tech LLC
14.3.5 Deep Systems
14.3.6 Labelbox, Inc
14.3.7 LightTag
14.3.8 Lotus Quality Assurance
14.3.9 Playment Inc
14.3.10 Tagtog Sp. z o.o
14.3.11 CloudFactory Limited
14.3.12 ClickWorker GmbH
14.3.13 Alegion
14.3.14 Figure Eight Inc.
14.3.15 Amazon Mechanical Turk, Inc
14.3.16 Explosion AI GMbH
14.3.17 Mighty AI, Inc.
14.3.18 Trilldata Technologies Pvt Ltd
14.3.19 Scale AI, Inc.
14.3.20 Google LLC
14.3.21 Lionbridge Technologies, Inc
14.3.22 SuperAnnotate LLC
