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Data Annotation and Labeling Market Component, Data Type, Application (Dataset Management, Sentiment Analysis), Annotation Type, Vertical (BFSI, IT and ITES, Healthcare and Life Sciences) and Region - Global Forecast to 2027

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    Report

  • 293 Pages
  • February 2023
  • Region: Global
  • Markets and Markets
  • ID: 5744079

Asia-Pacific Market to Register Highest CAGR During the Forecast Period

The global data annotation and labeling market is projected to grow from USD 0.8 billion in 2022 to USD 3.6 billion by 2027, at a CAGR of 33.2% during the forecast period. Any model or system that relies on a computer-driven decision-making system must annotate and label the data in order to guarantee that the decisions are accurate and pertinent. Businesses use massive amounts of datasets when building an ML model, carefully customizing them according to the model training needs. As a result, machines can detect data that has been annotated in a variety of comprehensible formats, including images, texts, and videos. This explains why AI and ML firms seek out this type of annotated data to put into their ML algorithm, training it to learn and detect recurrent patterns, and ultimately employing the same to create accurate estimates and predictions.

The major market players, such as Google, Appen, IBM, Oracle, TELUS International, Adobe, AWS have adopted numerous growth strategies, which include acquisitions, new product launches, product enhancements, and business expansions, to enhance their market shares.

By organization size, SMEs are anticipated to grow at the highest CAGR during the forecast period

The increased competitive market scenario is expected to prompt SMEs to invest in cutting-edge technologies and adopt go-to-market strategies for making informed business decisions. SMEs are more open to adopting new technology to improve and streamline business operations as well as to expand their market presence in the global economy. During the forecast period, SMEs are anticipated to grow at highest CAGR.

By application, catalogue management segment to register the highest CAGR during the forecast period

The catalogue management tool helps businesses handle enormous amounts of unstructured data across many AI and ML projects. Teams that work on data annotation need strong tools that can gather all different kinds of data and information from various sources into a single, searchable database. Companies such as LabelBox developed a data annotation tool powered by catalogue management with the intent to filter out unstructured data based on metadata properties. Among applications, catalogue management is projected to register the highest CAGR during the forecast period.

Asia Pacific market to register highest CAGR during the forecast period

The data annotation and labeling market is projected to register the highest CAGR in the Asia Pacific region during the forecast period. The rapid industrialization of the countries across the Asia Pacific and the increasing digitalization trend is leading to the production of the bulk of unstructured data. Since the Asia Pacific region has shown untapped potential in the increased adoption of data annotation and labeling solutions, most organisations are moving there to extend their market reach. Due to the expanding corporate productivity awareness and the competently designed data annotation and labeling solutions offered by the vendors in this market, the Asia Pacific has emerged as a very promising region.

Breakdown of Primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the data annotation and labeling market.

  • By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
  • By Designation: C-Level Executives: 35%, D-Level Executives: 25%, and Others: 40%
  • By Region: North America: 45%, Asia Pacific: 30%, Europe: 20%, Row: 5%

The report includes the study of key players offering data annotation and labeling. It profiles major vendors in the data annotation and labeling market. The major players in this market include Google (US), Appen (Australia), IBM (US), Oracle (US), TELUS International (Canada), Adobe (US), AWS (US), Alegion (US), Cogito Tech (US), Anolytics (US), AI Data Innovation (US), Clickworker (Germany), CloudFactory (UK), CapeStart (US), DataPure (US), LXT (Canada), Precise BPO Solution (India), Sigma (US), Segment.ai (US), Defined.ai (US), Dataloop (Israel), Labelbox (US), V7 (UK), LightTag (Germany), SuperAnnotate (US), Scale (US), Datasur (US), Kili Technology (France), Understand.ai (Germany), Keylabs (Israel), and Label Your Data (US)

Research Coverage

This study covers the data annotation and labeling market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such as component, application, deployment mode, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key Benefits of Buying the Report

The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall data annotation and labeling market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

Table of Contents

1 Introduction
1.1 Study Objectives
1.2 Market Definition
1.2.1 Inclusions and Exclusions
1.3 Market Scope
1.3.1 Market Segmentation
1.3.2 Regions Covered
1.3.3 Years Considered
1.4 Currency Considered
1.5 Stakeholders

2 Research Methodology
2.1 Research Data
Figure 1 Data Annotation and Labeling Market: Research Design
2.1.1 Secondary Data
2.1.2 Primary Data
Table 1 Primary Interviews
2.1.2.1 Breakup of Primary Profiles
2.1.2.2 Key Industry Insights
2.2 Market Breakup and Data Triangulation
Figure 2 Data Triangulation
2.3 Market Size Estimation
Figure 3 Market: Top-Down and Bottom-Up Approaches
2.3.1 Top-Down Approach
2.3.2 Bottom-Up Approach
Figure 4 Market Size Estimation Methodology - Approach 1 (Supply Side): Revenue from Solutions/Services of Data Annotation and Labeling Market
Figure 5 Market Size Estimation Methodology- Approach 2, Bottom-Up (Supply Side): Collective Revenue from Solutions/Services of Market
Figure 6 Market Size Estimation Methodology-Approach 3, Bottom-Up (Supply Side): Collective Revenue from Solutions/Services of Market
Figure 7 Market Size Estimation Methodology-Approach 4, Bottom-Up (Demand Side): Share of Data Annotation and Labeling Through Overall Data Annotation and Labeling Spending
2.4 Market Forecast
Table 2 Factor Analysis
2.5 Assumptions
2.6 Limitations
2.7 Recession Impact on Market

3 Executive Summary
Table 3 Global Data Annotation and Labeling Market Size and Growth Rate, 2019-2021 (USD Million, Y-O-Y %)
Table 4 Global Market Size and Growth Rate, 2022-2027 (USD Million, Y-O-Y %)
Figure 8 Solutions Segment Dominated in 2022
Figure 9 Professional Services Held Larger Market Share in 2022
Figure 10 Training and Consulting Dominated Market in 2022
Figure 11 Text Data Type Segment Led Market in 2022
Figure 12 Dataset Management Segment Held Largest Market Share in 2022
Figure 13 Manual Annotation Type Held Largest Segment in 2022
Figure 14 Large Enterprises Dominated Market in 2022
Figure 15 Cloud Segment Held Larger Market in 2022
Figure 16 Healthcare and Life Sciences Segment Grew at Highest CAGR in 2022
Figure 17 North America Held Largest Market Share and Asia-Pacific Grew at Highest CAGR in 2022

4 Premium Insights
4.1 Attractive Opportunities in Data Annotation and Labeling Market
Figure 18 Increasing Need to Improve Machine Learning Models to Drive Market Growth
4.2 Market: Top Three Applications
Figure 19 Catalogue Management Segment to Grow at Highest CAGR During Forecast Period
4.3 North America: Market, By Component and Top Three Verticals
Figure 20 Solutions Segment and Bfsi Segment Held Largest Market Shares in 2022
4.4 Market: By Region
Figure 21 North America Held the Largest Market Share in 2022

5 Market Overview and Industry Trends
5.1 Introduction
5.2 Data Annotation and Labeling: Architecture
Figure 22 Architecture: Data Annotation and Labeling Market
5.3 Market Dynamics
Figure 23 Drivers, Restraints, Opportunities, and Challenges: Market
5.3.1 Drivers
5.3.1.1 Increasing Need to Improve Machine Learning Models and Train AI Algorithms
Figure 24 Percentage of Time Allocated to Machine Learning Project Tasks
5.3.1.2 Growing Demand for Annotated Datasets in Autonomous Mobility Technologies
Figure 25 Autonomous Driving Disclosed Deals and Equity Funding
5.3.1.3 Rising Popularity of Labeled Data in Medical Imaging
Figure 26 AI in Drug Discovery Papers Published Per Year
5.3.2 Restraints
5.3.2.1 High Costs Associated with Manual Data Annotation
5.3.2.2 Issues Associated with Poor Quality of Training Data
5.3.2.3 Failure Regarding Data Security Regulations and Compliance
5.3.3 Opportunities
5.3.3.1 Rising Efficiency of AI-Assisted Automated Data Annotation
5.3.3.2 Rapid Adoption of Computer Vision Technologies in Novel Applications
5.3.3.3 Increasing Traction of Crowdsourced Data Annotation for Improved ROI
5.3.4 Challenges
5.3.4.1 Complexity in Handling Vast Datasets Leads to Human Bias
5.3.4.2 Dearth of Skilled Data Annotators
5.4 Data Annotation and Labeling: Evolution
Figure 27 Evolution: Data Annotation and Labeling Market
5.5 Market: Ecosystem
Table 5 Market: Ecosystem
5.6 Supply Chain Analysis
Figure 28 Supply Chain Analysis: Market
5.7 Case Study Analysis
5.7.1 Healthcare and Life Sciences
5.7.1.1 Imerit to Offer AI-Driven Remote Patient Monitoring Capabilities to Cancer Centers
5.7.1.2 Mindy Support Enables a US Medtech Firm to Automate Inventory Keeping of All Surgical Equipment
5.7.2 Retail and E-Commerce
5.7.2.1 Cogitotech Helps US-based Brick and Mortar Store to Combat Growing Presence of E-commerce Stores
5.7.2.2 Dataloop Enables Standard AI to Enable Autonomous Checkout at Retail Stores
5.7.3 Agriculture
5.7.3.1 Cropin Helps 2Scale to Transform and Create Traceable Rice Value Chain Digitally
5.7.4 Automotive
5.7.4.1 Scale AI Helps Toyota to Create Large Volumes of Training Data for Autonomous Mobility
5.7.5 Media and Entertainment
5.7.5.1 Dataloop Assists Linkedin in Content Moderation
5.7.6 IT and Ites
5.7.6.1 Appen Helps Adobe to Improve Search Relevance for Its Massive Stock Image Library
5.8 Technology Analysis
5.8.1 Data Annotation and Artificial Intelligence
5.8.2 Data Annotation and Natural Language Processing
5.8.3 Data Annotation and Cloud Computing
5.8.4 Data Annotation and Internet of Things (IoT)
5.9 Porter's Five Forces Analysis
Figure 29 Data Annotation and Labeling: Porter's Five Forces Analysis
Table 6 Data Annotation and Labeling Market: Porter's Five Forces Analysis
5.9.1 Threat of New Entrants
5.9.2 Threat of Substitutes
5.9.3 Bargaining Power of Suppliers
5.9.4 Bargaining Power of Buyers
5.9.5 Intensity of Competitive Rivalry
5.10 Regulatory Landscape
5.10.1 Health Insurance Portability and Accountability Act (HIPAA)
5.10.2 General Data Protection Regulation (Gdpr)
5.10.3 Personal Information Protection and Electronic Documents Act
5.10.4 Information Security Technology- Personal Information Security Specification Gb/T 35273-2017
5.10.5 Secure India National Digital Communications Policy 2018
5.10.6 General Data Protection Law (Lgpd)
5.10.7 Law No 13 of 2016 on Protecting Personal Data
5.10.8 Nist Special Publication 800-144 - Guidelines on Security and Privacy in Public Cloud Computing
5.11 Pricing Model Analysis
Table 7 Average Selling Pricing Analysis, 2022
5.12 Patent Analysis
5.12.1 Methodology
5.12.2 Document Type
Table 8 Patents Filed, 2013-2022
5.12.3 Innovation and Patent Applications
Figure 30 Total Number of Patents Granted, 2013-2022
5.12.3.1 Top Applicants
Figure 31 Top 10 Companies with Highest Number of Patent Applications in Last 10 Years, 2013-2022
Table 9 Top 10 Patent Owners (US) in Data Annotation and Labeling Market, 2013-2022
5.13 Key Conferences and Events, 2022-2023
Table 10 Data Annotation and Labeling Market: Detailed List of Conferences and Events, 2023
5.14 Tariff and Regulatory Landscape
5.14.1 Regulatory Bodies, Government Agencies, and Other Organizations
Table 11 North America: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 12 Europe: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 13 Asia-Pacific: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 14 Middle East and Africa: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 15 Latin America: List of Regulatory Bodies, Government Agencies, and Other Organizations
5.15 Trends/Disruptions Impacting Buyers/Clients of Data Annotation and Labeling Market
Figure 32 Market: Trends/Disruptions Impacting Buyers/Clients
5.16 Key Stakeholders & Buying Criteria
5.16.1 Key Stakeholders in Buying Process
Figure 33 Influence of Stakeholders on Buying Process for Top Three Applications
Table 16 Influence of Stakeholders on Buying Process for Top Three Applications
5.16.2 Buying Criteria
Figure 34 Key Buying Criteria for Top Three Applications
Table 17 Key Buying Criteria for Top Three Applications

6 Data Annotation and Labeling Market, By Component
6.1 Introduction
6.1.1 Component: Market Drivers
Figure 35 Services Segment to Grow at Highest CAGR During Forecast Period
Table 18 Market, By Component, 2019-2021 (USD Million)
Table 19 Market, By Component, 2022-2027 (USD Million)
6.2 Solutions
6.2.1 Growing Adoption of Data Annotation and Labeling Solutions to Enhance Productivity
Table 20 Solutions: Market, By Region, 2019-2021 (USD Million)
Table 21 Solutions: Market, By Region, 2022-2027 (USD Million)
6.3 Services
6.3.1 Rising Need for Cloud-based Solutions to Drive Market Growth
Figure 36 Managed Services to Grow at Higher CAGR During Forecast Period
Table 22 Market, By Service, 2019-2021 (USD Million)
Table 23 Market, By Service, 2022-2027 (USD Million)
Table 24 Services: Market, By Region, 2019-2021 (USD Million)
Table 25 Services: Market, By Region, 2022-2027 (USD Million)
6.3.2 Professional Services
Figure 37 System Integration and Implementation to Grow at Highest CAGR During Forecast Period
Table 26 Data Annotation and Labeling Market, By Professional Service, 2019-2021 (USD Million)
Table 27 Market, By Professional Service, 2022-2027 (USD Million)
Table 28 Professional Services: Market, By Region, 2019-2021 (USD Million)
Table 29 Professional Services: Market, By Region, 2022-2027 (USD Million)
6.3.2.1 Training and Consulting
6.3.2.1.1 Consulting Services to Enable Companies to Address Specific Requirements
Table 30 Training and Consulting: Market, By Region, 2019-2021 (USD Million)
Table 31 Training and Consulting: Market, By Region, 2022-2027 (USD Million)
6.3.2.2 System Integration and Implementation
6.3.2.2.1 System Integration and Implementation Enable Businesses to Reduce Complexities and Increase ROI
Table 32 System Integration and Implementation: Market, By Region, 2019-2021 (USD Million)
Table 33 System Integration and Implementation: Market, By Region, 2022-2027 (USD Million)
6.3.2.3 Support and Maintenance
6.3.2.3.1 Support and Maintenance Services to Facilitate 24/7 Assistance
Table 34 Support and Maintenance: Market, By Region, 2019-2021 (USD Million)
Table 35 Support and Maintenance: Market, By Region, 2022-2027 (USD Million)
6.3.3 Managed Services
6.3.3.1 Need to Redefine Customer Experience to Fuel Adoption of Managed Services
Table 36 Managed Services: Market, By Region, 2019-2021 (USD Million)
Table 37 Managed Services: Market, By Region, 2022-2027 (USD Million)

7 Data Annotation and Labeling Market, By Data Type
7.1 Introduction
7.1.1 Data Type: Market Drivers
Figure 38 Text Segment to Register Largest Market Size During Forecast Period
Table 38 Market, By Data Type, 2019-2021 (USD Million)
Table 39 Market, By Data Type, 2022-2027 (USD Million)
7.2 Text
7.2.1 Growing Reliance on Text-based Data to Drive Demand for Data Annotation and Labeling Solutions
Table 40 Text: Data Annotation and Labeling Market, By Region, 2019-2021 (USD Million)
Table 41 Text: Market, By Region, 2022-2027 (USD Million)
7.3 Image
7.3.1 Growing Application of Facial Recognition and Robotic Vision to Boost Demand for Image Annotation and Labeling
Table 42 Image: Market, By Region, 2019-2021 (USD Million)
Table 43 Image: Market, By Region, 2022-2027 (USD Million)
7.4 Video
7.4.1 Growing Application of Data Annotation and Labeling to Fuel Market Growth
Table 44 Video: Market, By Region, 2019-2021 (USD Million)
Table 45 Video: Market, By Region, 2022-2027 (USD Million)
7.5 Audio
7.5.1 Rising Demand for Audio Annotation to Enhance Searchability
Table 46 Audio: Market, By Region, 2019-2021 (USD Million)
Table 47 Audio: Market, By Region, 2022-2027 (USD Million)

8 Data Annotation and Labeling Market, By Deployment Type
8.1 Introduction
8.1.1 Deployment Type: Market Drivers
Figure 39 On-Premises Segment to Grow at Highest CAGR During Forecast Period
Table 48 Market, By Deployment Type, 2019-2021 (USD Million)
Table 49 Market, By Deployment Type, 2022-2027 (USD Million)
8.2 On-Premises
8.2.1 Ability to Provide Control and Security to Boost Demand for On-Premises Deployment Mode
Table 50 On-Premises: Market, By Region, 2019-2021 (USD Million)
Table 51 On-Premises: Market, By Region, 2022-2027 (USD Million)
8.3 Cloud
8.3.1 Easy Upgradeability and Accessibility to Boost Adoption of Cloud-based Solutions
Table 52 Cloud: Market, By Region, 2019-2021 (USD Million)
Table 53 Cloud: Market, By Region, 2022-2027 (USD Million)

9 Data Annotation and Labeling Market, By Organization Size
9.1 Introduction
9.1.1 Organization Size: Market Drivers
Figure 40 Small and Medium-Sized Enterprises Segment to Grow at Higher CAGR During Forecast Period
Table 54 Market, By Organization Size, 2019-2021 (USD Million)
Table 55 Market Size, By Organization Size, 2022-2027 (USD Million)
9.2 Small and Medium-Sized Enterprises
9.2.1 Growing Competitive Market Environment to Drive SMEs to Adopt Go-To-Market Strategies
Table 56 Small and Medium-Sized Enterprises: Market, By Region, 2019-2021 (USD Million)
Table 57 Small and Medium-Sized Enterprises: Market, By Region, 2022-2027 (USD Million)
9.3 Large Enterprises
9.3.1 Rising Inclination Toward Cutting Edge Technologies to Drive Demand
Table 58 Large Enterprises: Market, By Region, 2019-2021 (USD Million)
Table 59 Large Enterprises: Market, By Region, 2022-2027 (USD Million)

10 Data Annotation and Labeling Market, By Annotation Type
10.1 Introduction
10.1.1 Annotation Type: Market Drivers
Figure 41 Manual Annotation Type to Hold Largest Market Size During Forecast Period
Table 60 Market, By Annotation Type, 2019-2021 (USD Million)
Table 61 Market, By Annotation Type, 2022-2027 (USD Million)
10.2 Manual
10.2.1 Current Fast-Paced Digital Environment to Shift Demand from Manual Labeling to Automatic Labeling
Table 62 Manual: Market, By Region, 2019-2021 (USD Million)
Table 63 Manual: Market, By Region, 2022-2027 (USD Million)
10.3 Automatic
10.3.1 Ability to Self-Train Machine Learning Models to Recognize Demand for Automatic Labeling
Table 64 Automatic: Market, By Region, 2019-2021 (USD Million)
Table 65 Automatic: Market, By Region, 2022-2027 (USD Million)
10.4 Semi-Supervised
10.4.1 Integration of Automatic and Manual Data Labeling to Enhance Outcomes Cost-Effectively
Table 66 Semi-Supervised: Market, By Region, 2019-2021 (USD Million)
Table 67 Semi-Supervised: Market, By Region, 2022-2027 (USD Million)

11 Data Annotation and Labeling Market, By Application
11.1 Introduction
11.1.1 Application: Market Drivers
Figure 42 Catalogue Management Segment to Grow at Highest CAGR During Forecast Period
Table 68 Market, By Application, 2019-2021 (USD Million)
Table 69 Market, By Application, 2022-2027 (USD Million)
11.2 Dataset Management
11.2.1 Big Data Handling Capabilities to Deliver Large Volumes of Data with Ease
Table 70 Dataset Management: Market, By Region, 2019-2021 (USD Million)
Table 71 Dataset Management: Market, By Region, 2022-2027 (USD Million)
11.3 Security and Compliance
11.3.1 Stringent Data Privacy Features in Data Annotation Tools to Ensure Regulatory Compliance
Table 72 Security and Compliance: Data Annotation and Labeling Market, By Region, 2019-2021 (USD Million)
Table 73 Security and Compliance: Market, By Region, 2022-2027 (USD Million)
11.4 Data Quality Control
11.4.1 Data Quality Control Embedded in Data Annotation Tools to Deliver Accurate Machine Learning Models
Table 74 Data Quality Control: Market, By Region, 2019-2021 (USD Million)
Table 75 Data Quality Control: Market, By Region, 2022-2027 (USD Million)
11.5 Workforce Management
11.5.1 Workforce Management to Establish and Operate Fully Transparent Data Annotation Workflows
Table 76 Workforce Management: Market, By Region, 2019-2021 (USD Million)
Table 77 Workforce Management: Market, By Region, 2022-2027 (USD Million)
11.6 Content Management
11.6.1 Content Management to Bridge Information Silos and Allow for Easier Sharing of Web Content
Table 78 Content Management: Market, By Region, 2019-2021 (USD Million)
Table 79 Content Management: Market, By Region, 2022-2027 (USD Million)
11.7 Catalogue Management
11.7.1 Catalogue Management Application to Assist Enterprises in Unstructured Data Management
Table 80 Catalogue Management: Data Annotation and Labeling Market, By Region, 2019-2021 (USD Million)
Table 81 Catalogue Management: Market, By Region, 2022-2027 (USD Million)
11.8 Sentiment Analysis
11.8.1 Sentiment Analysis Application to Improve Brand Reputation
Table 82 Sentiment Analysis: Market, By Region, 2019-2021 (USD Million)
Table 83 Sentiment Analysis: Market, By Region, 2022-2027 (USD Million)
11.9 Other Applications
Table 84 Other Applications: Market, By Region, 2019-2021 (USD Million)
Table 85 Other Applications: Market, By Region, 2022-2027 (USD Million)

12 Data Annotation and Labeling Market, By Vertical
12.1 Introduction
12.1.1 Vertical: Market Drivers
12.1.2 Data Annotation and Labeling: Enterprise Use Cases
Figure 43 Healthcare and Life Sciences Segment to Grow at Highest CAGR During Forecast Period
Table 86 Market By Vertical, 2019-2021 (USD Million)
Table 87 Market, By Vertical, 2022-2027 (USD Million)
12.2 Bfsi
12.2.1 Data Labeling Solutions to Detect Financial Fraud and Improve Customer Experience
Table 88 Bfsi: Data Annotation and Labeling Market, By Region, 2019-2021 (USD Million)
Table 89 Bfsi: Market, By Region, 2022-2027 (USD Million)
12.3 Healthcare and Life Sciences
12.3.1 Healthcare Institutions to Deploy Data Annotation for Automated Diagnosis and Clinical Research
Table 90 Healthcare and Life Sciences: Market, By Region, 2019-2021 (USD Million)
Table 91 Healthcare and Life Sciences: Market, By Region, 2022-2027 (USD Million)
12.4 Telecom
12.4.1 Data Annotation Solutions to Monitor Valuable Telecom Assets
Table 92 Telecom: Market, By Region, 2019-2021 (USD Million)
Table 93 Telecom: Market, By Region, 2022-2027 (USD Million)
12.5 Government, Defense, and Public Agencies
12.5.1 Rising Need to Curb National Security Risks and Boost Precision Agriculture
Table 94 Government: Market, By Region, 2019-2021 (USD Million)
Table 95 Government: Market, By Region, 2022-2027 (USD Million)
12.6 IT and Ites
12.6.1 Data Annotation to Devise Product Launch Strategies and Reduce Employee Attrition
Table 96 IT and Ites: Data Annotation and Labeling Market, By Region, 2019-2021 (USD Million)
Table 97 IT and Ites: Market, By Region, 2022-2027 (USD Million)
12.7 Retail and Consumer Goods
12.7.1 Rising Need to Improve Shelf Management and Reduce Inventory Shrinkage to Boost Market Growth
Table 98 Retail and Consumer Goods: Market, By Region, 2019-2021 (USD Million)
Table 99 Retail and Consumer Goods: Market, By Region, 2022-2027 (USD Million)
12.8 Automotive
12.8.1 Data Annotation Powered Computer Vision to Improve Self-Driving Technologies and Reduce Driver Fatigue
Table 100 Automotive: Market, By Region, 2019-2021 (USD Million)
Table 101 Automotive: Market, By Region, 2022-2027 (USD Million)
12.9 Other Verticals
Table 102 Other Verticals: Market, By Region, 2019-2021 (USD Million)
Table 103 Other Verticals: Market, By Region, 2022-2027 (USD Million)

13 Market, By Region
13.1 Introduction
Figure 44 Asia-Pacific to Grow at Highest CAGR During Forecast Period
Figure 45 India to Grow at Highest CAGR During Forecast Period
Table 104 Market, By Region, 2019-2021 (USD Million)
Table 105 Market, By Region, 2022-2027 (USD Million)
13.2 North America
13.2.1 North America: Data Annotation and Labeling Market Drivers
13.2.2 North America: Recession Impact
Figure 46 North America: Market Snapshot
Table 106 North America: Market, By Component, 2019-2021 (USD Million)
Table 107 North America: Market, By Component, 2022-2027 (USD Million)
Table 108 North America: Market, By Service, 2019-2021 (USD Million)
Table 109 North America: Market, By Service, 2022-2027 (USD Million)
Table 110 North America: Market, By Professional Service, 2019-2021 (USD Million)
Table 111 North America: Market, By Professional Service, 2022-2027 (USD Million)
Table 112 North America: Market, By Data Type, 2019-2021 (USD Million)
Table 113 North America: Data Annotation and Labeling Market, By Data Type, 2022-2027 (USD Million)
Table 114 North America: Market, By Annotation Type, 2019-2021 (USD Million)
Table 115 North America: Market, By Annotation Type, 2022-2027 (USD Million)
Table 116 North America: Market, By Deployment Mode, 2019-2021 (USD Million)
Table 117 North America: Market, By Deployment Mode, 2022-2027 (USD Million)
Table 118 North America: Market, By Organization Size, 2019-2021 (USD Million)
Table 119 North America: Market, By Organization Size, 2022-2027 (USD Million)
Table 120 North America: Market, By Application, 2019-2021 (USD Million)
Table 121 North America: Market, By Application, 2022-2027 (USD Million)
Table 122 North America: Market, By Vertical, 2019-2021 (USD Million)
Table 123 North America: Market, By Vertical, 2022-2027 (USD Million)
Table 124 North America: Market, By Country, 2019-2021 (USD Million)
Table 125 North America: Market, By Country, 2022-2027 (USD Million)
13.2.3 US
13.2.3.1 US Emerged as Major Market to Witness Increasing Demand for Affordable Data Annotation Services
13.2.4 Canada
13.2.4.1 Canada to Witness Significant Investments in Data Annotation and Labeling Projects
13.3 Europe
13.3.1 Europe: Data Annotation and Labeling Market Drivers
13.3.2 Europe: Recession Impact
Table 126 Europe: Market, By Component, 2019-2021 (USD Million)
Table 127 Europe: Market, By Component, 2022-2027 (USD Million)
Table 128 Europe: Market, By Service, 2019-2021 (USD Million)
Table 129 Europe: Market, By Service, 2022-2027 (USD Million)
Table 130 Europe: Market, By Professional Service, 2019-2021 (USD Million)
Table 131 Europe: Market, By Professional Service, 2022-2027 (USD Million)
Table 132 Europe: Market, By Data Type, 2019-2021 (USD Million)
Table 133 Europe: Market, By Data Type, 2022-2027 (USD Million)
Table 134 Europe: Data Annotation and Labeling Market, By Annotation Type, 2019-2021 (USD Million)
Table 135 Europe: Market, By Annotation Type, 2022-2027 (USD Million)
Table 136 Europe: Market, By Deployment Mode, 2019-2021 (USD Million)
Table 137 Europe: Market, By Deployment Mode, 2022-2027 (USD Million)
Table 138 Europe: Market, By Organization Size, 2019-2021 (USD Million)
Table 139 Europe: Market, By Organization Size, 2022-2027 (USD Million)
Table 140 Europe: Market, By Application, 2019-2021 (USD Million)
Table 141 Europe: Market, By Application, 2022-2027 (USD Million)
Table 142 Europe: Market, By Vertical, 2019-2021 (USD Million)
Table 143 Europe: Market, By Vertical, 2022-2027 (USD Million)
Table 144 Europe: Market, By Country, 2019-2021 (USD Million)
Table 145 Europe: Market, By Country, 2022-2027 (USD Million)
13.3.3 UK
13.3.3.1 European Policymakers Encourage Governments to Increase Data Capture
13.3.4 Germany
13.3.4.1 Germany to Improve Both Business Results and Competitiveness By Democratizing Access to Data Annotation
13.3.5 France
13.3.5.1 Significant Potential for AI and Data Management Startups to Boost Market Growth
13.3.6 Rest of Europe
13.3.6.1 Growing Need to Gather Important Information from Unstructured Data to Boost Demand
13.4 Asia-Pacific
13.4.1 Asia-Pacific: Data Annotation and Labeling Market Drivers
13.4.2 Asia-Pacific: Impact of Recession
Figure 47 Asia-Pacific: Market Snapshot
Table 146 Asia-Pacific: Market, By Component, 2019-2021 (USD Million)
Table 147 Asia-Pacific: Market, By Component, 2022-2027 (USD Million)
Table 148 Asia-Pacific: Market, By Service, 2019-2021 (USD Million)
Table 149 Asia-Pacific: Market, By Service, 2022-2027 (USD Million)
Table 150 Asia-Pacific: Market, By Professional Service, 2019-2021 (USD Million)
Table 151 Asia-Pacific: Market, By Professional Service, 2022-2027 (USD Million)
Table 152 Asia-Pacific: Market, By Data Type, 2019-2021 (USD Million)
Table 153 Asia-Pacific: Data Annotation and Labeling Market, By Data Type, 2022-2027 (USD Million)
Table 154 Asia-Pacific: Market, By Annotation Type, 2019-2021 (USD Million)
Table 155 Asia-Pacific: Market, By Annotation Type, 2022-2027 (USD Million)
Table 156 Asia-Pacific: Market, By Deployment Mode, 2019-2021 (USD Million)
Table 157 Asia-Pacific: Market, By Deployment Mode, 2022-2027 (USD Million)
Table 158 Asia-Pacific: Market, By Organization Size, 2019-2021 (USD Million)
Table 159 Asia-Pacific: Market, By Organization Size, 2022-2027 (USD Million)
Table 160 Asia-Pacific: Market, By Application, 2019-2021 (USD Million)
Table 161 Asia-Pacific: Market, By Application, 2022-2027 (USD Million)
Table 162 Asia-Pacific: Market, By Vertical, 2019-2021 (USD Million)
Table 163 Asia-Pacific: Market, By Vertical, 2022-2027 (USD Million)
Table 164 Asia-Pacific: Market, By Country, 2019-2021 (USD Million)
Table 165 Asia-Pacific: Data Annotation and Labeling, By Country, 2022-2027 (USD Million)
13.4.3 India
13.4.3.1 Rapid Adoption of Technologies to Accelerate India's Current Transformation into a Prominent Global Powerhouse for Innovation
13.4.4 Japan
13.4.4.1 Growing Use of Cutting-Edge Technologies to Drive Growth of Market
13.4.5 China
13.4.5.1 Rapid Adoption of Innovative Technologies Across Verticals to Drive Market Demand
13.4.6 Rest of Asia-Pacific
13.4.6.1 Development of Infrastructure and Technological Capabilities to Drive Growth
13.5 Middle East and Africa
13.5.1 Middle East and Africa: Data Annotation and Market Drivers
13.5.2 Middle East and Africa: Impact of Recession
Table 166 Middle East and Africa: Market, By Component, 2019-2021 (USD Million)
Table 167 Middle East and Africa: Market, By Component, 2022-2027 (USD Million)
Table 168 Middle East and Africa: Market, By Service, 2019-2021 (USD Million)
Table 169 Middle East and Africa: Market, By Service, 2022-2027 (USD Million)
Table 170 Middle East and Africa: Market, By Professional Service, 2019-2021 (USD Million)
Table 171 Middle East and Africa: Market, By Professional Service, 2022-2027 (USD Million)
Table 172 Middle East and Africa: Market, By Data Type, 2019-2021 (USD Million)
Table 173 Middle East and Africa: Data Annotation and Labeling Market, By Data Type, 2022-2027 (USD Million)
Table 174 Middle East and Africa: Market, By Annotation Type, 2019-2021 (USD Million)
Table 175 Middle East and Africa: Market, By Annotation Type, 2022-2027 (USD Million)
Table 176 Middle East and Africa: Market, By Application, 2019-2021 (USD Million)
Table 177 Middle East & Africa: Market, By Application, 2022-2027 (USD Million)
Table 178 Middle East and Africa: Market, By Deployment Mode, 2019-2021 (USD Million)
Table 179 Middle East and Africa: Market, By Deployment Mode,2022-2027 (USD Million)
Table 180 Middle East and Africa: Market, By Organization, 2019-2021 (USD Million)
Table 181 Middle East and Africa: Market, By Organization Size, 2022-2027 (USD Million)
Table 182 Middle East and Africa: Market, By Vertical, 2019-2021 (USD Million)
Table 183 Middle East and Africa: Market, By Vertical, 2022-2027 (USD Million)
Table 184 Middle East and Africa: Market, By Region, 2019-2021 (USD Million)
Table 185 Middle East and Africa: Data Annotation and Labeling, By Region, 2022-2027 (USD Million)
13.5.3 Saudi Arabia
13.5.3.1 Government Spending on Innovative Technology to Drive Market Demand
13.5.4 UAE
13.5.4.1 Growing Ability to Embrace Emerging Technologies Across Several Verticals
13.5.5 South Africa
13.5.5.1 Untapped Market Opportunities to Drive Adoption of Advanced Technologies
13.5.6 Rest of Middle East and Africa
13.5.6.1 Presence of Various Startups and Initiatives By Government Boost Market Growth
13.6 Latin America
13.6.1 Latin America: Data Annotation and Labeling Market Drivers
13.6.2 Latin America: Impact of Recession
Table 186 Latin America: Market, By Component, 2019-2021 (USD Million)
Table 187 Latin America: Data Annotation and Labeling, By Component, 2022-2027 (USD Million)
Table 188 Latin America: Data Annotation and Labeling, By Service, 2019-2021 (USD Million)
Table 189 Latin America: Market, By Service, 2022-2027 (USD Million)
Table 190 Latin America: Market, By Professional Service, 2019-2021 (USD Million)
Table 191 Latin America: Data Annotation and Labeling, By Professional Service, 2022-2027 (USD Million)
Table 192 Latin America: Market, By Data Type, 2019-2021 (USD Million)
Table 193 Latin America: Market, By Data Type, 2022-2027 (USD Million)
Table 194 Latin America: Data Annotation and Labeling Market, By Annotation Type, 2019-2021 (USD Million)
Table 195 Latin America: Market, By Annotation Type, 2022-2027 (USD Million)
Table 196 Latin America: Market, By Application, 2019-2021 (USD Million)
Table 197 Latin America: Market, By Application, 2022-2027 (USD Million)
Table 198 Latin America: Market, By Deployment Mode, 2019-2021 (USD Million)
Table 199 Latin America: Market, By Deployment Mode, 2022-2027 (USD Million)
Table 200 Latin America: Market, By Organization Size, 2019-2021 (USD Million)
Table 201 Latin America: Market, By Organization Size, 2022-2027 (USD Million)
Table 202 Latin America: Market, By Vertical, 2019-2021 (USD Million)
Table 203 Latin America: Market, By Vertical, 2022-2027 (USD Million)
Table 204 Latin America: Market, By Country, 2019-2021 (USD Million)
Table 205 Latin America: Market, By Country, 2022-2027 (USD Million)
13.6.3 Brazil
13.6.3.1 Investment By Startups and Rapid Adoption of Technologies to Fuel Demand
13.6.4 Mexico
13.6.4.1 Growing Support to Implement Emerging Technologies and Drive Adoption Rate
13.6.5 Rest of Latin America
13.6.5.1 Growing Investment and Rapid Adoption of Technologies to Make Region Attractive for Entrepreneurs

14 Competitive Landscape
14.1 Overview
14.2 Key Player Strategies
Table 206 Overview of Strategies Adopted By Key Data Annotation and Labeling Vendors
14.3 Revenue Analysis
14.3.1 Historical Revenue Analysis
Figure 48 Historical Revenue Analysis of Top Five Players, 2019-2021 (USD Million)
14.4 Market Share Analysis
Figure 49 Data Annotation and Labeling Market Share Analysis for Key Companies, 2022
Table 207 Market: Degree of Competition
14.5 Company Evaluation Quadrant
14.5.1 Stars
14.5.2 Emerging Leaders
14.5.3 Pervasive Players
14.5.4 Participants
Figure 50 Key Market Players, Company Evaluation Quadrant, 2022
14.5.5 Competitive Benchmarking
Table 208 Market: Product Footprint Analysis of Key Players, 2022
Table 209 Data Annotation and Labeling Market: Product Footprint Analysis of Other Key Players, 2022
14.6 Startup/SME Evaluation Quadrant
14.6.1 Progressive Companies
14.6.2 Responsive Companies
14.6.3 Dynamic Companies
14.6.4 Starting Blocks
Figure 51 Startups/SMEs Data Annotation and Labeling Players, Company Evaluation Quadrant, 2022
14.6.5 Startups/SMEs Competitive Benchmarking
Table 210 Market: Detailed List of Key Startups/SMEs
Table 211 Data Annotation and Labeling Market: Product Footprint Analysis of Startups/ SMEs Players, 2022
14.7 Competitive Scenario and Trends
14.7.1 Product Launches
Table 212 Service/Product Launches, 2019-2022
14.7.2 Deals
Table 213 Deals, 2019-2022

15 Company Profiles
15.1 Introduction
15.2 Major Players
Business Overview, Products, Solutions and Services Offered, Recent Developments, Analyst's View
15.2.1 Google
Table 214 Google: Business Overview
Figure 52 Google: Company Snapshot
Table 215 Google: Products Offered
Table 216 Google: Product Launches and Enhancements
Table 217 Google: Deals
15.2.2 Appen
Table 218 Appen: Business Overview
Figure 53 Appen: Company Snapshot
Table 219 Appen: Products Offered
Table 220 Appen: Product Launches and Enhancements
Table 221 Appen: Deals
15.2.3 IBM
Table 222 IBM: Business Overview
Figure 54 IBM: Company Snapshot
Table 223 IBM: Products Offered
Table 224 IBM: Product Launches and Enhancements
Table 225 IBM: Deals
15.2.4 Oracle
Table 226 Oracle: Business Overview
Figure 55 Oracle: Company Snapshot
Table 227 Oracle: Products Offered
Table 228 Oracle: Product Launches and Enhancements
Table 229 Oracle: Deals
15.2.5 Telus International
Table 230 Telus International: Business Overview
Figure 56 Telus International: Company Snapshot
Table 231 Telus International: Products Offered
Table 232 Telus International: Product Launches and Enhancements
Table 233 Telus International: Deals
Table 234 Telus International: Others
15.2.6 Adobe
Table 235 Adobe: Business Overview
Figure 57 Adobe: Company Snapshot
Table 236 Adobe: Products Offered
Table 237 Adobe: Product Launches and Enhancements
Table 238 Adobe: Deals
15.2.7 Aws
Table 239 Aws: Business Overview
Figure 58 Aws: Company Snapshot
Table 240 Aws: Products Offered
Table 241 Aws: Product Launches and Enhancements
Table 242 Aws: Deals
15.2.8 Alegion
Table 243 Alegion: Business Overview
Table 244 Alegion: Products Offered
Table 245 Alegion: Product Launches and Enhancements
Table 246 Alegion: Deals
Table 247 Alegion: Others
15.2.9 Cogito Tech
Table 248 Cogito Tech: Business Overview
Table 249 Cogito Tech: Products Offered
Table 250 Cogito Tech: Product Launches and Enhancements
15.2.10 Anolytics
Table 251 Anolytics: Business Overview
Table 252 Anolytics: Products Offered
Details on Business Overview, Products, Services, and Solutions Offered Recent Developments, Analyst's View Might Not be Captured in Case of Unlisted Companies.
15.3 Other Key Players
15.3.1 AI Data Innovation
15.3.2 Clickworker
15.3.3 Cloudfactory
15.3.4 Capestart
15.3.5 Datapure
15.3.6 Lxt
15.3.7 Precise Bpo Solution
15.3.8 Sigma
15.3.9 Segments.AI
15.3.10 Defined AI
15.4 SMEs and Startups
15.4.1 Dataloop
15.4.2 Label Box
15.4.3 V7
15.4.4 Lighttag
15.4.5 Superannotate
15.4.6 Scale AI
15.4.7 Datasaur
15.4.8 Kili Technology
15.4.9 Understand.AI
15.4.10 Keylabs
15.4.11 Label Your Data

16 Adjacent and Related Markets
16.1 Introduction
16.2 Nlp Market - Global Forecast to 2027
16.2.1 Market Definition
16.2.2 Market Overview
16.2.2.1 Nlp Market, By Component
Table 253 Natural Language Processing Market, By Component, 2016-2021 (USD Million)
Table 254 Natural Language Processing Market, By Component, 2022-2027 (USD Million)
16.2.2.2 Nlp Market, By Type
Table 255 Natural Language Processing Market, By Type, 2016-2021 (USD Million)
Table 256 Natural Language Processing Market, By Type, 2022-2027 (USD Million)
16.2.2.3 Nlp Market, By Deployment Mode
Table 257 Natural Language Processing Market, By Deployment Mode, 2016-2021 (USD Million)
Table 258 Natural Language Processing Market, By Deployment Mode, 2022-2027USD Million)
16.2.2.4 Nlp Market, By Organization Size
Table 259 Natural Language Processing Market, By Organization Size, 2016-2021 (USD Million)
Table 260 Natural Language Processing Market, By Organization Size, 2022-2027 (USD Million)
16.2.2.5 Nlp Market, By Application
Table 261 Natural Language Processing Market, By Application, 2016-2021 (USD Million)
Table 262 Natural Language Processing Market, By Application, 2022-2027 (USD Million)
16.2.2.6 Nlp Market, By Technology
Table 263 Natural Language Processing Market, By Technology, 2016-2021 (USD Million)
Table 264 Natural Language Processing Market, By Technology, 2022-2027 (USD Million)
16.2.2.7 Nlp Market, By Vertical
Table 265 Natural Language Processing Market, By Vertical, 2016-2021 (USD Million)
Table 266 Natural Language Processing Market, By Vertical, 2022-2027 (USD Million)
16.2.2.8 Nlp Market, By Region
Table 267 Natural Language Processing Market, By Region, 2016-2021 (USD Million)
Table 268 Natural Language Processing Market, By Region, 2022-2027 (USD Million)
16.3 Artificial Intelligence Market - Global Forecast to 2027
16.3.1 Market Definition
16.3.2 Market Overview
16.3.2.1 Artificial Intelligence Market, By Offering
Table 269 Artificial Intelligence Market, By Offering, 2016-2021 (USD Billion)
Table 270 Artificial Intelligence Market, By Offering, 2022-2027 (USD Billion)
16.3.2.2 Artificial Intelligence Market, By Technology
Table 271 Artificial Intelligence Market, By Technology, 2016-2021 (USD Billion)
Table 272 Artificial Intelligence Market, By Technology, 2022-2027 (USD Billion)
16.3.2.3 Artificial Intelligence Market, By Deployment Mode
Table 273 Artificial Intelligence Market, By Deployment Mode, 2016-2021 (USD Billion)
Table 274 Artificial Intelligence Market, By Deployment Mode, 2022-2027 (USD Billion)
16.3.2.4 Artificial Intelligence Market, By Organization Size
Table 275 Artificial Intelligence Market, By Organization, 2016-2021 (USD Billion)
Table 276 Artificial Intelligence Market, By Organization, 2022-2027 (USD Billion)
16.3.2.5 Artificial Intelligence Market, By Business Function
Table 277 Artificial Intelligence Market, By Business Function, 2016-2021 (USD Billion)
Table 278 Artificial Intelligence Market, By Business Function, 2022-2027 (USD Billion)
16.3.2.6 Artificial Intelligence Market, By Vertical
Table 279 Artificial Intelligence Market, By Vertical, 2016-2021 (USD Billion)
Table 280 Artificial Intelligence Market, By Vertical, 2022-2027 (USD Billion)
16.3.2.7 Artificial Intelligence Market, By Region
Table 281 Artificial Intelligence Market, By Region, 2016-2021 (USD Billion)
Table 282 Artificial Intelligence Market, By Region, 2022-2027 (USD Billion)

17 Appendix
17.1 Discussion Guide
17.2 Knowledgestore: The Subscription Portal
17.3 Customization Options

Executive Summary

Companies Mentioned

  • Adobe
  • AI Data Innovation
  • Alegion
  • Anolytics
  • Appen
  • Aws
  • Capestart
  • Clickworker
  • Cloudfactory
  • Cogito Tech
  • Dataloop
  • Datapure
  • Datasaur
  • Defined AI
  • Google
  • IBM
  • Keylabs
  • Kili Technology
  • Label Box
  • Label Your Data
  • Lighttag
  • Lxt
  • Oracle
  • Precise Bpo Solution
  • Scale AI
  • Segments.AI
  • Sigma
  • Superannotate
  • Telus International
  • Understand.AI
  • V7

Methodology

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Table Information