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Global Data Annotation Tools Market

Global Data Annotation Tools Market Value & Forecasts Upto 2026

Report code: SDMRIC791741 | Industry: ICT | Published On: 2019-12-25

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
• 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     Demand  Drivers   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.
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