The Global data annotation market was valued at US$ 320.0 Million in 2018 and is expected to reach US$ 1,820 Million by the year 2026, growing at a CAGR of ~24.5% during the forecast period. Increasing investments in research & development for autonomous vehicles are also contributes significantly to the growth of the market. Data annotation tools are playing an important role for the enhancement of AI applications in medical imaging technologies. The increasing demand for mining meaningful patterns from huge chunk of data is also accentuating the growth of data annotation tools market growth.
Data annotation tools provide users for improving the data value by labeling & adding data attributes into it. Different combination of data characteristics helps the end-users for managing the data definition at a centralized location and eliminating the duplicity of rewriting similar standards in multiple places.
Data annotation tools are majorly used to identify patterns and sense the possible injuries in computer on. These functionalities will help a healthcare personal to automatic generation of reports after observing any patient symptoms. This also helps in accurate annotation for enhancing machine learning capabilities. The data annotation tools are used across most of the industries. This technology is also used in medical & healthcare applications like gene sequencing, and drug development.
Data annotation tools market is highly competitive in nature with major players including Amazon Mechanical Turk, Inc., Alegion, Annotate, Appen Limited, Clickworker GmbH, CloudApp, CloudFactory Limited, Cogito, iMerit, Innodata and Playment Inc. Some of the recent developments in this market are Alegion (USA) provider of labeling and annotation services for enterprise data science teams (USA), has secured $12 million in series A funding contributed by RHS Investments.
Report Scope:
The Global Data Annotation Tools report scope covers the in-depth business analysis considering major market dynamics, forecast parameters, and price trends for the industry growth. The report forecasts market sizing at global, regional and country levels, providing comprehensive outlook of industry trends in each market segments and sub-segments from 2018 to 2025. The market segmentations include
Global Data Annotation Tools, By Type
• Supervised
• Semi-supervised
• Unsupervised
Global Data Annotation Tools Market, By Data Form
• Introduction
• Text
• Image
• Video
• Others (Speech)
Global Data Annotation Tools, By Application
• BFSI
• IT& Telecom
• Automotive
• Healthcare
• Retail
• Others
Global Data Annotation Tools, By Region
• North America
• Europe
• Asia-Pacific
• Rest of the World
The report scope also includes competitive landscape covering the competitive analysis, strategy analysis and company profiles of the major market players. The companies profiled in the report include Amazon Mechanical Turk, Inc., Alegion, Annotate, Appen Limited, Clickworker GmbH, CloudApp, CloudFactory Limited, Cogito, iMerit, Innodata and Playment Inc.
Table of Contents
1 Introduction
1.1 Goal & Objective
1.2 Report Coverage
1.3 Supply Side Data Modelling & Methodology
1.4 Demand Side Data Modelling & Methodology
2 Executive Summary
2.1 Regional Snapshot
2.2 Global Data Annotation Tools Market by Data Form
2.3 Global Data Annotation Tools Market by Annotation Type
2.4 Global Data Annotation Tools Market by Type of Compatible Platform
2.5 Global Data Annotation Tools Market by End-use Industry
3 Market Outlook
3.1 Introduction
3.2 Current & Future Outlook
3.3 DROC
3.3.1 Drivers
3.3.1.1 Demand Drivers
3.3.1.2 Supply Drivers
3.3.2 Restraints
3.3.3 Opportunities
3.3.4 Challenges
3.4 Market Entry Matrix
3.5 Market Opportunity Analysis
3.6 Market Regulations
3.7 Pricing Mix
3.8 Key Customers
3.9 Value Chain & Ecosystem
4 Market Demand Analysis
4.1 Product Benchmarking
4.1 Competitor Benchmarking
4.3 Business Recommendations
4.3.1 Invest in key growth segments
4.3.2 Potential End-use Market
4.3.3 Focus on Regions
4.3.4 Market Expansion & Product Launch
4.3.5 Investment on R&D
4.3.6 Marketing Strategy
5 Global Data Annotation Tools Market, By Compatible Platform
5.1 Introduction
5.2 Mac OS
5.3 Windows
5.4 Linux
5.5 Others (Android)
6 Global Data Annotation Tools Market, By Data Form
6.1 Introduction
6.2 Text
6.3 Image
6.4 Video
6.5 Others (Speech)
7 Global Data Annotation Tools Market, By Annotation Type
7.1 Introduction
7.2 Supervised
7.3 Semi-supervised
7.4 Unsupervised
8 Global Data Annotation Tools Market, By End-User
8.1 Introduction
8.2 IT & Telecom
8.3 BFSI
8.4 Automotive
8.5 Healthcare
8.6 Retail
8.7 Others
9 Global Data Annotation Tools Market, By Region
9.1 North America
9.1.1 U.S.
9.1.2 Canada
9.1.3 Mexico
9.2 Europe
9.2.1 Germany
9.2.2 France
9.2.3 Russia
9.2.4 UK
9.2.5 Italy
9.3 Asia Pacific
9.3.1 China
9.3.2 Japan
9.3.3 India
9.3.4 South Korea
9.3.5 South East Asia
9.4 Middle East & Africa
9.4.1 Saudi Arabia
9.4.2 UAE
9.4.3 Egypt
9.4.4 Nigeria
9.4.5 South Africa
9.5 South America
9.5.1 Brazil
9.5.2 Argentina
9.5.3 Colombia
10 Competitive Intelligence
10.1 Top 5 Players Comparison
10.1 Market Positioning of Key Players
10.1 Market Players Mapping by Segments
10.1 Strategies Adopted by Key Market Players
10.1 Recent Developments in the Market
11 Supply Market Side Analysis (Industrial Player Analysis)
11.1 Strategic Benchmarking
11.2 Market Share Analysis
11.3 Key Players
11.3.1 Amazon Mechanical Turk, Inc.
11.3.2 Annotate
11.3.3 Appen Limited
11.3.4 clickworker GmbH
11.3.5 CloudApp
11.3.6 CloudFactory Limited
11.3.7 Cogito
11.3.8 iMerit
11.3.9 Innodata
11.3.10Playment Inc.
A three way data triangulation approach has been used to arrive at market estimates. We use primary research, secondary research and data triangulation by top down and bottom up approach
Secondary Research:
Our research methodology involves in-depth desk research using various secondary sources. Data is gathered from association/government publications/databases, company websites, press releases, annual reports/presentations/sec filings, technical papers, journals, research papers, magazines, conferences, tradeshows, and blogs.
Key Data Points through secondary research-
Macro-economic data points
Import Export data
Identification of major market trends across various applications
Primary understanding of the industry for both the regions
Competitors analysis for the production capacities, key production sites, competitive landscape
Key customers
Production Capacity
Pricing Scenario
Cost Margin Analysis
Key Data Points through primary research-
Major factors driving the market and its end application markets
Comparative analysis and customer analysis
Regional presence
Collaborations or tie-ups
Annual Production, and sales
Profit Margins
Average Selling Price
Data Triangulation:
Data triangulation is done using top down and bottom approaches. However, to develop accurate market sizing estimations, both the methodologies are used to accurately arrive at the market size.
