시장보고서
상품코드
1915634

AI 데이터 라벨링 시장(2025-2029년)

Global AI Data Labeling Market 2025-2029

발행일: | 리서치사: TechNavio | 페이지 정보: 영문 293 Pages | 배송안내 : 즉시배송

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 AI 데이터 라벨링 시장은 2024-2029년에 14억 1,490만 달러의 성장이 전망되며, 예측 기간 중 CAGR은 21.1%로 예측됩니다. 이 리포트에서는 세계의 AI 데이터 라벨링 시장에 관한 종합적 분석, 시장 규모와 예측, 동향, 성장요인, 과제과 함께 약 25사의 벤더 분석을 제공하고 있습니다.

이 보고서는 현재 시장 상황, 최신 동향 및 성장요인, 시장 환경 전반에 대한 최신 분석을 제공합니다. 시장은 AI 머신러닝 도입 확대, 정확하고 편향되지 않은 데이터에 대한 수요 증가, 머신러닝 기술 발전에 힘입어 성장하고 있습니다.

이번 조사는 업계 주요 관계자들의 정보를 포함한 1차 정보와 2차 정보를 객관적으로 조합하여 진행되었습니다. 이 보고서에는 주요 기업 분석과 함께 종합적인 시장 규모 데이터, 지역별 분석과 함께 부문 및 공급업체 현황이 포함되어 있습니다. 보고서에는 과거 데이터와 예측 데이터가 포함되어 있습니다.

시장 범위
기준연도 2025년
종료연도 2029년
예측 기간 2025-2029
성장 모멘텀 가속
전년대비 19.1%
CAGR 21.1%
증가액 14억 1,490만 달러

이 보고서는 자동화 및 반자동 라벨링 툴의 출현이 향후 수년간 세계 AI 데이터 라벨링 시장의 성장을 주도할 주요 요인 중 하나로 꼽았습니다. 또한 데이터 중심의 AI 접근 방식의 부상, 전문성 심화, 도메인 전문 지식의 축적은 시장에서 상당한 수요를 창출할 것으로 예측됩니다.

목차

제1장 개요

제2장 Technavio 분석

  • 가격·수명주기·고객 구입 바스켓·채택률·구입 기준의 분석
  • 인풋의 중요성과 차별화의 요인
  • 혼란의 요인
  • 촉진요인과 과제의 영향

제3장 시장 구도

  • 시장 에코시스템
  • 시장의 특징
  • 밸류체인 분석

제4장 시장 규모

  • 시장 정의
  • 시장 부문 분석
  • 시장 규모 2024
  • 시장 전망 2024-2029

제5장 시장 규모 실적

  • 세계의 AI 데이터 라벨링 시장 2019-2023
  • 유형 부문 분석 2019-2023
  • 방법 부문 분석 2019-2023
  • 최종사용자 부문 분석 2019-2023
  • 지역별 부문 분석 2019-2023
  • 국가별 부문 분석 2019-2023

제6장 Five Forces 분석

  • Five Forces 요약
  • 바이어의 교섭력
  • 공급 기업의 교섭력
  • 신규 진출업체의 위협
  • 대체품의 위협
  • 경쟁의 위협
  • 시장 현황

제7장 시장 세분화 : 유형별

  • 비교 : 유형별
  • 텍스트
  • 비디오
  • 이미지
  • 오디오 또는 스피치
  • 시장 기회 : 유형별

제8장 시장 세분화 : 방법별

  • 비교 : 방법별
  • 수동
  • 준지도
  • 자동
  • 시장 기회 : 방법별

제9장 시장 세분화 : 최종사용자별

  • 비교 : 최종사용자별
  • IT 및 테크놀러지
  • 자동차
  • 헬스케어
  • 기타
  • 시장 기회 : 최종사용자별

제10장 고객 상황

제11장 지역별 상황

  • 지역별 세분화
  • 지역별 비교
  • 북미
    • 미국
    • 캐나다
    • 멕시코
  • 아시아태평양
    • 중국
    • 인도
    • 일본
    • 한국
    • 호주
    • 인도네시아
  • 유럽
    • 독일
    • 영국
    • 프랑스
    • 이탈리아
    • 스페인
    • 네덜란드
  • 남미
    • 브라질
    • 아르헨티나
    • 콜롬비아
  • 중동 및 아프리카
    • 아랍에미리트
    • 사우디아라비아
    • 남아프리카공화국
    • 이스라엘
    • 튀르키예
  • 시장 기회 : 지역별

제12장 촉진요인·과제·기회

  • 시장 성장 촉진요인
  • 시장이 해결해야 할 과제
  • 촉진요인과 과제의 영향
  • 시장 기회

제13장 경쟁 구도

  • 개요
  • 경쟁 구도
  • 혼란 상황
  • 업계의 리스크

제14장 경쟁 분석

  • 기업 개요
  • 기업 순위 지표
  • 기업의 시장 포지셔닝
  • ALEGION
  • APPEN Ltd.
  • Clickworker GmbH
  • Cloudfactory
  • Cogito Tech LLC
  • DefinedCrowd Corp.
  • Hive
  • iMerit
  • Kili Technology
  • Labelbox
  • Samasource
  • Scale
  • SuperAnnotate
  • TaskUs Inc.
  • TELUS International Inc.

제15장 부록

KSA

The global AI data labeling market is forecasted to grow by USD 1414.9 mn during 2024-2029, accelerating at a CAGR of 21.1% during the forecast period. The report on the global AI data labeling market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by increasing adoption of AI machine learning, growing demand for highly accurate and unbiased data, advancements in machine learning techniques.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Market Scope
Base Year2025
End Year2029
Series Year2025-2029
Growth MomentumAccelerate
YOY 202519.1%
CAGR21.1%
Incremental Value$1414.9 mn

Technavio's global AI data labeling market is segmented as below:

By Type

  • Text
  • Video
  • Image
  • Audio or speech

By Method

  • Manual
  • Semi-supervised
  • Automatic

By End-User

  • IT and technology
  • Automotive
  • Healthcare
  • Others

Geography

  • North America
    • US
    • Canada
    • Mexico
  • APAC
    • China
    • India
    • Japan
    • South Korea
    • Australia
    • Indonesia
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • The Netherlands
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East and Africa
    • UAE
    • South Africa
    • Turkey
  • Rest of World (ROW)

This study identifies the emergence of automated and semi-automated labeling tools as one of the prime reasons driving the global AI data labeling market growth during the next few years. Also, rise of data centric AI approaches and specialization and domain expertise will lead to sizable demand in the market.

The report on the global AI data labeling market covers the following areas:

  • Global AI data labeling market sizing
  • Global AI data labeling market forecast
  • Global AI data labeling market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global AI data labeling market vendors that include ALEGION, APPEN Ltd., Aurora Innovation Inc., Clickworker GmbH, Cloudfactory, Cogito Tech LLC, DefinedCrowd Corp., Hive, Humans In The Loop, iMerit, Kili Technology, Labelbox, Samasource, Scale, SuperAnnotate, tagtog Sp. z o.o., TaskUs Inc., TELUS International Inc.. Also, the global AI data labeling market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

  • 1.1 Market overview
    • Executive Summary - Chart on Market Overview
    • Executive Summary - Data Table on Market Overview
    • Executive Summary - Chart on Global Market Characteristics
    • Executive Summary - Chart on Market by Geography
    • Executive Summary - Chart on Market Segmentation by Type
    • Executive Summary - Chart on Market Segmentation by Method
    • Executive Summary - Chart on Market Segmentation by End-user
    • Executive Summary - Chart on Incremental Growth
    • Executive Summary - Data Table on Incremental Growth
    • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

  • 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • 2.2 Criticality of inputs and Factors of differentiation
  • 2.3 Factors of disruption
  • 2.4 Impact of drivers and challenges

3 Market Landscape

  • 3.1 Market ecosystem
  • 3.2 Market characteristics
  • 3.3 Value chain analysis

4 Market Sizing

  • 4.1 Market definition
  • 4.2 Market segment analysis
    • Market segments
  • 4.3 Market size 2024
  • 4.4 Market outlook: Forecast for 2024-2029

5 Historic Market Size

  • 5.1 Global AI Data Labeling Market 2019 - 2023
    • Historic Market Size - Data Table on Global AI Data Labeling Market 2019 - 2023 ($ million)
  • 5.2 Type segment analysis 2019 - 2023
    • Historic Market Size - Type Segment 2019 - 2023 ($ million)
  • 5.3 Method segment analysis 2019 - 2023
    • Historic Market Size - Method Segment 2019 - 2023 ($ million)
  • 5.4 End-user segment analysis 2019 - 2023
    • Historic Market Size - End-user Segment 2019 - 2023 ($ million)
  • 5.5 Geography segment analysis 2019 - 2023
    • Historic Market Size - Geography Segment 2019 - 2023 ($ million)
  • 5.6 Country segment analysis 2019 - 2023
    • Historic Market Size - Country Segment 2019 - 2023 ($ million)

6 Five Forces Analysis

  • 6.1 Five forces summary
    • Five forces analysis - Comparison between 2024 and 2029
  • 6.2 Bargaining power of buyers
    • Bargaining power of buyers - Impact of key factors 2024 and 2029
  • 6.3 Bargaining power of suppliers
    • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
  • 6.4 Threat of new entrants
    • Threat of new entrants - Impact of key factors in 2024 and 2029
  • 6.5 Threat of substitutes
    • Threat of substitutes - Impact of key factors in 2024 and 2029
  • 6.6 Threat of rivalry
    • Threat of rivalry - Impact of key factors in 2024 and 2029
  • 6.7 Market condition

7 Market Segmentation by Type

  • 7.1 Market segments
  • 7.2 Comparison by Type
  • 7.3 Text - Market size and forecast 2024-2029
  • 7.4 Video - Market size and forecast 2024-2029
  • 7.5 Image - Market size and forecast 2024-2029
  • 7.6 Audio or speech - Market size and forecast 2024-2029
  • 7.7 Market opportunity by Type
    • Market opportunity by Type ($ million)

8 Market Segmentation by Method

  • 8.1 Market segments
  • 8.2 Comparison by Method
  • 8.3 Manual - Market size and forecast 2024-2029
  • 8.4 Semi-supervised - Market size and forecast 2024-2029
  • 8.5 Automatic - Market size and forecast 2024-2029
  • 8.6 Market opportunity by Method
    • Market opportunity by Method ($ million)

9 Market Segmentation by End-user

  • 9.1 Market segments
  • 9.2 Comparison by End-user
  • 9.3 IT and technology - Market size and forecast 2024-2029
  • 9.4 Automotive - Market size and forecast 2024-2029
  • 9.5 Healthcare - Market size and forecast 2024-2029
  • 9.6 Others - Market size and forecast 2024-2029
  • 9.7 Market opportunity by End-user
    • Market opportunity by End-user ($ million)

10 Customer Landscape

  • 10.1 Customer landscape overview
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

11 Geographic Landscape

  • 11.1 Geographic segmentation
  • 11.2 Geographic comparison
  • 11.3 North America - Market size and forecast 2024-2029
    • 11.3.1 US - Market size and forecast 2024-2029
    • 11.3.2 Canada - Market size and forecast 2024-2029
    • 11.3.3 Mexico - Market size and forecast 2024-2029
  • 11.4 APAC - Market size and forecast 2024-2029
    • 11.4.1 China - Market size and forecast 2024-2029
    • 11.4.2 India - Market size and forecast 2024-2029
    • 11.4.3 Japan - Market size and forecast 2024-2029
    • 11.4.4 South Korea - Market size and forecast 2024-2029
    • 11.4.5 Australia - Market size and forecast 2024-2029
    • 11.4.6 Indonesia - Market size and forecast 2024-2029
  • 11.5 Europe - Market size and forecast 2024-2029
    • 11.5.1 Germany - Market size and forecast 2024-2029
    • 11.5.2 UK - Market size and forecast 2024-2029
    • 11.5.3 France - Market size and forecast 2024-2029
    • 11.5.4 Italy - Market size and forecast 2024-2029
    • 11.5.5 Spain - Market size and forecast 2024-2029
    • 11.5.6 The Netherlands - Market size and forecast 2024-2029
  • 11.6 South America - Market size and forecast 2024-2029
    • 11.6.1 Brazil - Market size and forecast 2024-2029
    • 11.6.2 Argentina - Market size and forecast 2024-2029
    • 11.6.3 Colombia - Market size and forecast 2024-2029
  • 11.7 Middle East and Africa - Market size and forecast 2024-2029
    • 11.7.1 UAE - Market size and forecast 2024-2029
    • 11.7.2 Saudi Arabia - Market size and forecast 2024-2029
    • 11.7.3 South Africa - Market size and forecast 2024-2029
    • 11.7.4 Israel - Market size and forecast 2024-2029
    • 11.7.5 Turkey - Market size and forecast 2024-2029
  • 11.8 Market opportunity by geography
    • Market opportunity by geography ($ million)
    • Data Tables on Market opportunity by geography ($ million)

12 Drivers, Challenges, and Opportunity

  • 12.1 Market drivers
    • Increasing adoption of AI machine learning
    • Growing demand for highly accurate and unbiased data
    • Advancements in machine learning techniques
  • 12.2 Market challenges
    • Data quality and Consistency Issues
    • Scalability and Cost Management
    • Data Privacy and Security Concerns
  • 12.3 Impact of drivers and challenges
    • Impact of drivers and challenges in 2024 and 2029
  • 12.4 Market opportunities
    • Emergence of automated and semi-Automated labeling tools
    • Rise of data centric AI approaches
    • Specialization and domain expertise

13 Competitive Landscape

  • 13.1 Overview
  • 13.2 Competitive Landscape
    • Overview on criticality of inputs and factors of differentiation
  • 13.3 Landscape disruption
    • Overview on factors of disruption
  • 13.4 Industry risks
    • Impact of key risks on business

14 Competitive Analysis

  • 14.1 Companies profiled
    • Companies covered
  • 14.2 Company ranking index
    • Company ranking index
  • 14.3 Market positioning of companies
    • Matrix on companies position and classification
  • 14.4 ALEGION
    • ALEGION - Overview
    • ALEGION - Product / Service
    • ALEGION - Key offerings
    • SWOT
  • 14.5 APPEN Ltd.
    • APPEN Ltd. - Overview
    • APPEN Ltd. - Product / Service
    • APPEN Ltd. - Key offerings
    • SWOT
  • 14.6 Clickworker GmbH
    • Clickworker GmbH - Overview
    • Clickworker GmbH - Product / Service
    • Clickworker GmbH - Key offerings
    • SWOT
  • 14.7 Cloudfactory
    • Cloudfactory - Overview
    • Cloudfactory - Product / Service
    • Cloudfactory - Key offerings
    • SWOT
  • 14.8 Cogito Tech LLC
    • Cogito Tech LLC - Overview
    • Cogito Tech LLC - Product / Service
    • Cogito Tech LLC - Key offerings
    • SWOT
  • 14.9 DefinedCrowd Corp.
    • DefinedCrowd Corp. - Overview
    • DefinedCrowd Corp. - Product / Service
    • DefinedCrowd Corp. - Key offerings
    • SWOT
  • 14.10 Hive
    • Hive - Overview
    • Hive - Product / Service
    • Hive - Key offerings
    • SWOT
  • 14.11 iMerit
    • iMerit - Overview
    • iMerit - Product / Service
    • iMerit - Key offerings
    • SWOT
  • 14.12 Kili Technology
    • Kili Technology - Overview
    • Kili Technology - Product / Service
    • Kili Technology - Key offerings
    • SWOT
  • 14.13 Labelbox
    • Labelbox - Overview
    • Labelbox - Product / Service
    • Labelbox - Key offerings
    • SWOT
  • 14.14 Samasource
    • Samasource - Overview
    • Samasource - Product / Service
    • Samasource - Key offerings
    • SWOT
  • 14.15 Scale
    • Scale - Overview
    • Scale - Product / Service
    • Scale - Key offerings
    • SWOT
  • 14.16 SuperAnnotate
    • SuperAnnotate - Overview
    • SuperAnnotate - Product / Service
    • SuperAnnotate - Key offerings
    • SWOT
  • 14.17 TaskUs Inc.
    • TaskUs Inc. - Overview
    • TaskUs Inc. - Product / Service
    • TaskUs Inc. - Key offerings
    • SWOT
  • 14.18 TELUS International Inc.
    • TELUS International Inc. - Overview
    • TELUS International Inc. - Product / Service
    • TELUS International Inc. - Key offerings
    • SWOT

15 Appendix

  • 15.1 Scope of the report
    • Market definition
    • Objectives
    • Notes and caveats
  • 15.2 Inclusions and exclusions checklist
    • Inclusions checklist
    • Exclusions checklist
  • 15.3 Currency conversion rates for US$
    • Currency conversion rates for US$
  • 15.4 Research methodology
    • Research methodology
  • 15.5 Data procurement
    • Information sources
  • 15.6 Data validation
    • Data validation
  • 15.7 Validation techniques employed for market sizing
    • Validation techniques employed for market sizing
  • 15.8 Data synthesis
    • Data synthesis
  • 15.9 360 degree market analysis
    • 360 degree market analysis
  • 15.10 List of abbreviations
    • List of abbreviations
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