Market Overview:
The global automated data annotation tool 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 annotation tools across different industries, such as commercial and personal use. Additionally, the growing trend of big data and its various applications is also fueling the demand for automated data annotation tools. The global automated data annotation tool market can be segmented on the basis of type, application, and region. On the basis of type, the market can be divided into text annotation tool, image annotation tool, and other types. The text annotation tool segment is expected to hold a major share in terms of revenue in 2018 owing to its widespread adoption across different industries for annotating textual information.
Product Definition:
The definition of Automated Data Annotation Tool is a software application that assists in the manual annotation of data. The importance of Automated Data Annotation Tool is that it helps to speed up the process of annotating data, which can be time consuming and labor-intensive.
Text Annotation Tool:
Text annotation tool is used for adding, modifying or removing text from images. It's a powerful tool that can be used in various applications such as medical research, document management system and image processing. The growth factor of the automated data annotation tool market includes increasing usage of tools by researchers to store information about genes, proteins and diseases which leads to growing demand for efficient storage systems such as electronic notebooks (e-notebooks).
Image Annotation Tool:
The image annotation tool is used to add information, related to the images, which can be useful for a human reader. The added data includes the text labels and other meta-data about the images. It also provides features such as face recognition and object identification in images.
Increasing adoption of automated data annotation tools by researchers for various applications such as biomedical image analysis, pattern recognition in medical imaging etc., is expected to drive market growth over the forecast period.
Application Insights:
The commercial use segment dominated the global automated data annotation tool market in 2017. This can be attributed to the increasing adoption of these tools by research institutes, government bodies and educational institutions for their research papers and publications. For instance, researchers at Stanford University have been using this technology for various projects such as AnnotatorBot for commenting on GitHub code.
Personal use is expected to be the fastest-growing segment over the forecast period owing to increased usage of advanced technologies by individuals globally. The ability of these tools to annotate any type of data such as audio files, images or videos has made them popular among individuals worldwide looking for unique digital experiences and knowledge sharing opportunities across all age groups and cultures since 2016.
Regional Analysis:
North America dominated the global market in 2017. This can be attributed to the presence of a large number of annotation tool providers, such as Microsoft Corporation; Google LLC; and Apple Inc., in this region. Moreover, North America is home to several universities and research centers that are actively engaged in developing new technologies for automated data annotation purposes. For instance, researchers from University of California San Diego have developed an automatic image annotation tool called DMT-Annotator which can be used for labeling various parts of an image with specified keywords automatically. The above-mentioned development has led to increased adoption of automated data annotation tools among researchers across North American countries over the past few years.
However, Asia Pacific is expected to emerge as the fastest growing regional market during the forecast period owing to increasing government initiatives pertaining toward promoting digitalization across all sectors within their respective countries along with other emerging economies such as China and India (ITU 2016).
Growth Factors:
- Increasing demand for big data and analytics services
- Growing number of data-driven applications and services
- Proliferation of IoT devices and the associated data volumes
- Rapid expansion of AI/ML-based solutions for data annotation
- Emergence of new use cases that require automated annotation
Scope Of The Report
Report Attributes
Report Details
Report Title
Automated Data Annotation Tool Market Research Report
By Type
Text Annotation Tool, Image Annotation Tool, Other
By Application
Commercial Use, Personal Use
By Companies
CloudApp, iMerit, Playment, Trilldata Technologies, Amazon Web Services, LionBridge AI, Mighty AI, Samasource, Google, Labelbox, Webtunix AI, Appen, CloudFactory, IBM, Neurala, Alegion, Cogito, Scale, Clickworker GmbH, MonkeyLearn, Hive
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
201
Number of Tables & Figures
141
Customization Available
Yes, the report can be customized as per your need.
Global Automated Data Annotation Tool Market Report Segments:
The global Automated Data Annotation Tool market is segmented on the basis of:
Types
Text Annotation Tool, Image Annotation Tool, Other
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
Commercial Use, Personal Use
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:
- CloudApp
- iMerit
- Playment
- Trilldata Technologies
- Amazon Web Services
- LionBridge AI
- Mighty AI
- Samasource
- Google
- Labelbox
- Webtunix AI
- Appen
- CloudFactory
- IBM
- Neurala
- Alegion
- Cogito
- Scale
- Clickworker GmbH
- MonkeyLearn
- Hive
Highlights of The Automated Data Annotation Tool 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:
- Text Annotation Tool
- Image Annotation Tool
- Other
- By Application:
- Commercial Use
- Personal Use
- 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 Automated Data Annotation Tool 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?
An automated data annotation tool is a software application that helps users identify and annotate data automatically. This can include identifying patterns, making annotations about the data's meaning or use, and adding metadata to the data.
Some of the major companies in the automated data annotation tool market are CloudApp, iMerit, Playment, Trilldata Technologies, Amazon Web Services, LionBridge AI, Mighty AI, Samasource, Google, Labelbox, Webtunix AI, Appen, CloudFactory, IBM, Neurala, Alegion, Cogito, Scale, Clickworker GmbH, MonkeyLearn, Hive.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Automated Data Annotation Tool 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 Automated Data Annotation Tool Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Automated Data Annotation Tool 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 Automated Data Annotation Tool 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 Automated Data Annotation Tool Market Size & Forecast, 2018-2028
4.5.1 Automated Data Annotation Tool Market Size and Y-o-Y Growth
4.5.2 Automated Data Annotation Tool Market Absolute $ Opportunity
Chapter 5 Global Automated Data Annotation Tool 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 Automated Data Annotation Tool Market Size Forecast by Type
5.2.1 Text Annotation Tool
5.2.2 Image Annotation Tool
5.2.3 Other
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Automated Data Annotation Tool 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 Automated Data Annotation Tool Market Size Forecast by Applications
6.2.1 Commercial Use
6.2.2 Personal Use
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Automated Data Annotation Tool 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 Automated Data Annotation Tool 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 Automated Data Annotation Tool Analysis and Forecast
9.1 Introduction
9.2 North America Automated Data Annotation Tool 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 Automated Data Annotation Tool Market Size Forecast by Type
9.6.1 Text Annotation Tool
9.6.2 Image Annotation Tool
9.6.3 Other
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 Automated Data Annotation Tool Market Size Forecast by Applications
9.10.1 Commercial Use
9.10.2 Personal Use
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 Automated Data Annotation Tool Analysis and Forecast
10.1 Introduction
10.2 Europe Automated Data Annotation Tool 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 Automated Data Annotation Tool Market Size Forecast by Type
10.6.1 Text Annotation Tool
10.6.2 Image Annotation Tool
10.6.3 Other
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 Automated Data Annotation Tool Market Size Forecast by Applications
10.10.1 Commercial Use
10.10.2 Personal Use
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 Automated Data Annotation Tool Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Automated Data Annotation Tool 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 Automated Data Annotation Tool Market Size Forecast by Type
11.6.1 Text Annotation Tool
11.6.2 Image Annotation Tool
11.6.3 Other
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 Automated Data Annotation Tool Market Size Forecast by Applications
11.10.1 Commercial Use
11.10.2 Personal Use
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 Automated Data Annotation Tool Analysis and Forecast
12.1 Introduction
12.2 Latin America Automated Data Annotation Tool 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 Automated Data Annotation Tool Market Size Forecast by Type
12.6.1 Text Annotation Tool
12.6.2 Image Annotation Tool
12.6.3 Other
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 Automated Data Annotation Tool Market Size Forecast by Applications
12.10.1 Commercial Use
12.10.2 Personal Use
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) Automated Data Annotation Tool Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Automated Data Annotation Tool 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) Automated Data Annotation Tool Market Size Forecast by Type
13.6.1 Text Annotation Tool
13.6.2 Image Annotation Tool
13.6.3 Other
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) Automated Data Annotation Tool Market Size Forecast by Applications
13.10.1 Commercial Use
13.10.2 Personal Use
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 Automated Data Annotation Tool Market: Competitive Dashboard
14.2 Global Automated Data Annotation Tool Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 CloudApp
14.3.2 iMerit
14.3.3 Playment
14.3.4 Trilldata Technologies
14.3.5 Amazon Web Services
14.3.6 LionBridge AI
14.3.7 Mighty AI
14.3.8 Samasource
14.3.9 Google
14.3.10 Labelbox
14.3.11 Webtunix AI
14.3.12 Appen
14.3.13 CloudFactory
14.3.14 IBM
14.3.15 Neurala
14.3.16 Alegion
14.3.17 Cogito
14.3.18 Scale
14.3.19 Clickworker GmbH
14.3.20 MonkeyLearn
14.3.21 Hive
