Data Annotation and Labeling Market

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Data Annotation and Labeling Market by 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

FREE BROCHURE FREE SAMPLE REPORT
Report Code: TC 8571 Feb, 2023, by marketsandmarkets.com

The global Data Annotation and Labeling Market size was valued at $0.8 billion in 2022 and it is projected to reach $3.6 billion by the end of 2027 at a CAGR of 33.2% during the forecast period. When creating a machine learning model, preprocessing includes data labeling and annotation. To enable the machine learning model to generate precise predictions, it is necessary to identify raw data, such as images, text files, and videos, and then to add one or more labels to that data to explain its context for the models. To organize, clean up, and label data, businesses incorporate software, procedures, and data annotators. This training data becomes the foundation for ML models. These labels give analysts the ability to isolate certain variables inside datasets, allowing them to choose the best data predictors for ML models.

Data Annotation and Labeling Market

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Data Annotation and Labeling Market Dynamics

Driver: Rising popularity of labeled data in medical imaging

The deployment of Al-enabled systems for improved patient care, improved diagnostics, and accelerated drug discovery has changed the healthcare sector. Algorithms have been developed that can detect anomalies and illnesses in patients without the assistance of a human being using accurately labelled medical images. To create a database of precisely labelled operation videos, medical personnel also collaborate with expert annotation service providers. The dataset would act as the building block for the creation of autonomous surgical robots. Companies such as Labelbox supports dynamic large scale tiled imaging formats for medical practitioners to label pathological data. Another significant application area where data annotation is important is drug development. In order to help researchers detect patterns relevant to drug discovery, data annotation and labeling can assist automated systems in sorting through a massive volume of research papers, patents, clinical trial paperwork, and patient records. Such annotated datasets can be utilized to deduce novel connections between illnesses, symptoms, and potential treatments.

Restraint: Issues associated with poor quality of training data

One of the key barriers to the market expansion of data annotation and labeling solutions continues to be the lack of high-quality input data. Any attempts to train Al models with low-quality data result in errors in the predicted output, with certain algorithms degrading to the point where their complete optimization is never attained. This is because the performance of Al is strongly correlated with the quality of data input into the algorithm.  Missing, irrelevant, or manipulated datasets can also cause drastic financial repercussions if there is a significant delta between ground truth and Al algorithm predictions.

Opportunity: Increasing traction of crowdsourced data annotation for improved RoI

In order to quickly annotate massive amounts of data, crowdsourced data annotation involves outsourcing the data labeling project to a number of freelance data annotators. By distributing data annotation tasks to thousands of data labelers at once, businesses attempt to speed up the time it takes to market their Al products, fueling a fervent demand for crowdsourced data annotation. The emergence of platforms for crowdsourced data labeling has boosted consumers' trust in crowdsourced data annotation. When compared to the costs associated with hiring professional data annotation experts, the data annotation can be finished for a fraction of the price.

Challenge: Dearth of skilled data annotators

The industry for data annotation and labeling has been significantly hampered by a lack of highly experienced manual data labelers and subject matter experts. Highly accurate training data that has been properly labelled is necessary for creating complex AI models for handling crucial applications, including self-driving cars and medical diagnosis solutions. This increases the demand for specialized annotators who can decipher the underlying meanings of intricate scientific or medical imagery. The lack of qualified data annotators also poses the risk of poor data quality if inexperienced data annotators have labeled them.

BFSI segment to account for largest market size during forecast period

The BFSI sector is using machine learning to enhance operations, boost revenue, and improve customer experience by utilizing the vast amount of data generated across many formats. Data annotation and labeling tools ensure that these machine learning models perform at optimum levels by offering robust data quality. Predictive analytics systems may be able to extract useful and applicable insights from unstructured data by labeling critical consumer information, such as customer loan application data, insurance claims, and KYC forms. Among the verticals, the BFSI segment is anticipated to register the largest market size during the forecast period.

Automatic segment to register to grow at the highest CAGR during forecast period

The traditional data labeling procedure was time-consuming and wholly manual. Humans have a low productivity rate and are prone to mistakes despite the high accuracy rate of their annotations. For computer vision and natural language processing activities, the demand for precise and high-quality data labelling is rising. Any unstructured customer data or content can be automatically labeled to discover segments of customers with similar combinations of attributes and treat them similarly in marketing efforts. Businesses can use automatic data labeling, which requires little to no human intervention, to significantly reduce operating costs and time. During the forecast period, automatic segment is anticipated to grow at the CAGR.

North America to account for largest market size during forecast period

By region, North America is estimated to lead the data annotation and labeling market during the forecast period. The region is one of the early adopters of data annotation and labeling solution, since the majority of large enterprises are located in this region. One of the biggest key drivers in North America is the substantial investments made by numerous businesses for outsourcing the data annotation and labelling solutions. Among the countries in these region, the United States have emerged as the main markets witnessing increased demand for affordable data annotation services and machine learning models.

Data Annotation and Labeling Market Size, and Share

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Data Annotation and Labeling Market - Key Players

The data annotation and labeling providers have implemented various organic and inorganic growth strategies, such as new product launches, product upgrades, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major players in the  data annotation and labeling 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).

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Scope of the Report

Report Metrics

Details

Market size available for years

2019–2027

Base year considered

2021

Forecast period

2022–2027

Forecast units

USD (Billion)

Segments covered

Component, Data Type, Application, Deployment Type, Organization Size, Annotation Type, Vertical, and Region

Geographies covered

North America, Europe, Asia Pacific, Middle East and Africa, and Latin America

Companies covered

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).

This research report categorizes the data annotation and labeling market based on component, data type, application, deployment type, organization size, annotation type, vertical, and region.

By Component
  • Solution
  • Services
By Data Type:
  • Text
  • Image
  • Video
  • Audio
By Deployment Type:
  • On-premises
  • Cloud
By Organization Size:
  • Large enterprises
  • SMEs
By Annotation Type:
  • Manual
  • Automatic
  • Semi-Supervised
By Application:
  • Dataset Management
  • Security and Compliance
  • Data Quality Control
  • Workforce Management
  • Content Management
  • Catalogue Management
  • Sentiment Analysis
  • Other Applications
By Verticals:
  • BFSI
  • IT and ITES
  • Healthcare & Lifescience
  • Telecom
  • Government, Defense and Public Agencies
  • Retail and Consumer Goods
  • Automotive
  • Other Verticals
By Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • Rest of Asia Pacific
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • South Africa
    • Rest of Middle East and Africa
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America

Recent Developments in Data Annotation and Labeling Market:

  • In November 2022, TechSee had partnered with TELUS International to promote real-time computer vision in engagement centres. Through this partnership, TechSee's portfolio of AI-powered service automation and visual engagement technologies would be added to TELUS International's customer base.
  • In October 2022, Accenture and Google Cloud today announced an expansion of their global partnership through a renewed commitment to growing their respective talent, increasing their joint capabilities, developing new solutions using data and AI, and providing enhanced support to help clients build a strong digital core and reinvent their enterprises on the cloud.
  • In October 2022, Appen had collaborated with Novatics and offer shared synergies in the Latin American region to expand client offerings. This collaboration is another step in Appen's strategy to provide inclusive data for the AI lifecycle. As part of the collaboration, Novatics will be connecting Appen with key strategic clients in the Latin America region.
  • In May 2022, Oracle and Informatica had partnered for data governance, enterprise cloud data connectivity, and lakehouse solutions on Oracle Cloud Infrastructure. This partnership would enable to deliver industry-leading cloud data management, integration, and governance solutions for databases, data warehouses, data lakes, data lakehouses, enterprise analytics, and data science.
  • In November 2021, AWS and Goldman Sachs collaborated to create new Data Management and Analytics solutions for financial services organizations.
  • In August 2021, Appen had announced that it had signed an agreement to acquire Quadrant. This acquisition of Quadrant and Appen would be well-positioned to provide high-quality data to businesses that depend on geolocation.
  • In July 2021, TELUS International had announced to acquire Bangaluru based data annotation startup named Playment. With this acquisition, TELUS International can assist technology companies and large businesses in the development of AI-powered solutions, from enhancing the customer experience for current customers to opening new opportunities for the development of computer vision-powered applications across industries.
  • In November 2020, TELUS International had announced the acquisition of Lionbridge with an intent to improve its artificial intelligence capabilities in response to the rising need for high-quality, multilingual data annotation.

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 30)
    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 (Page No. - 34)
    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 (Page No. - 46)
    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 (Page No. - 52)
    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 LARGEST MARKET SHARE IN 2022
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 55)
    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 eCommerce 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 (Page No. - 87)
    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 (Page No. - 99)
    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 (Page No. - 106)
    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 (Page No. - 111)
    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 (Page No. - 116)
     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 (Page No. - 122)
     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 (Page No. - 136)
     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 (Page No. - 151)
     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 (Page No. - 200)
     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 (Page No. - 219)
     15.1 INTRODUCTION 
     15.2 MAJOR PLAYERS 
(Business Overview, Products, Solutions and Services offered, Recent Developments, MnM 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, MnM 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 (Page No. - 267)
     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 (Page No. - 282)
     17.1 DISCUSSION GUIDE 
     17.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     17.3 CUSTOMIZATION OPTIONS 
     17.4 RELATED REPORTS 
     17.5 AUTHOR DETAILS 

The research study for the Data annotation and labeling market involved extensive secondary sources, directories, journals, and paid databases. Primary sources were industry experts from the core and related industries, preferred data annotation and labeling providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information and assess the market’s prospects.

Secondary Research

The market size of companies offering data annotation and labeling, and services was arrived at based on secondary data available through paid and unpaid sources. It was also arrived at by analyzing major companies' product portfolios and rating them based on their performance and quality. In the secondary research process, various sources were referred to for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors' websites. Additionally, Data annotation and labeling spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to solutions, services, deployment modes, functionality, applications, verticals, and regions, and key developments from both market and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and Data annotation and labeling expertise; related key executives from Data annotation and labeling solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using data annotation and labeling solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of data annotation and labeling solutions and services, which would impact the overall data annotation and labeling market.

The following is the breakup of primary profiles:

Data Annotation and Labeling Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Data Annotation and Labeling Market Size Estimation

In the market engineering process, the top-down and bottom-up approaches were used along with multiple data triangulation methods to estimate and validate the size of the  data annotation and labeling market and other dependent submarkets. Key market players were identified through secondary research, and their market share in the targeted regions was determined with the help of primary and secondary research. This research methodology included the study of annual and financial presentations of the top market players and interviews with experts for key insights (quantitative and qualitative).

The percentage share splits, and breakdowns were determined using secondary sources and verified through primary research. All possible parameters that affect the  data annotation and labeling market were verified in detail with the help of primary sources and analyzed to obtain quantitative and qualitative data. This data was supplemented with detailed inputs and analysis from MarketsandMarkets and presented in the report.

  • The pricing trend is assumed to vary over time.
  • All the forecasts were made with the standard assumption that the accepted currency is USD.
  • For the conversion of various currencies to USD, average historical exchange rates were used according to the year specified. For all the historical and current exchange rates required for calculations and currency conversions, the US Internal Revenue Service's website was used.
  • All the forecasts were made under the standard assumption that the globally accepted currency USD will remain constant during the next five years.
  • Vendor-side analysis: The market size estimates of associated solutions and services were factored in from the vendor side by assuming an average of licensing and subscription-based models of leading and innovative vendors in the market.
  • Demand/end-user analysis: End users operating in verticals across regions were analyzed in terms of market spending on  data annotation and labeling based on some of the key use cases. These factors for the  data annotation and labeling industry per region were separately analyzed, and the average spending was extrapolated with an approximation based on assumed weightage. This factor was derived by averaging various market influencers, including recent developments, regulations, mergers and acquisitions, enterprise/SME adoption, startup ecosystem, IT spending, technology propensity and maturity, use cases, and the estimated number of organizations per region.

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Report Objectives

  • To define, describe, and predict the data annotation and labeling market by component (solutions and services), deployment mode, data type, applications, annotation type, organization size, verticals, and region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the data annotation and labeling market
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East and Africa, and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the data annotation and labeling market
  • To analyze the impact of recession across all the regions across the data annotation and labeling market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company

Geographic Analysis

  • Further breakup of the North American data annotation and labeling market
  • Further breakup of the European market
  • Further breakup of the Asia Pacific market
  • Further breakup of the Latin American market
  • Further breakup of the Middle Eastern and African market

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)
Custom Market Research Services

We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

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Report Code
TC 8571
Published ON
Feb, 2023
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