시장보고서
상품코드
1915657

데이터 라벨링 솔루션 및 서비스용 생성형 AI 시장(2025-2029년)

Global Generative AI In Data Labeling Solution And Services Market 2025-2029

발행일: | 리서치사: TechNavio | 페이지 정보: 영문 285 Pages | 배송안내 : 즉시배송

    
    
    




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세계의 데이터 라벨링 솔루션 및 서비스용 생성형 AI 시장은 2024-2029년의 예측 기간 중 CAGR 24.2%로 성장하며, 317억 2,440만 달러 규모에 달할 것으로 예측되고 있습니다. 이 리포트는 세계의 데이터 라벨링 솔루션 및 서비스용 생성형 AI 시장에 대해 종합적 분석, 시장 규모와 예측, 동향, 성장요인, 과제 및 약 25사의 벤더 분석을 제공합니다.

이 보고서는 현재 시장 상황, 최신 동향 및 성장요인, 시장 환경 전반에 대한 최신 분석을 제공합니다. 고급 AI 모델 학습을 위한 고품질 및 대규모 데이터세트에 대한 수요 증가, 기술 혁신의 급속한 발전과 기반 모델 보급 확대, 다양한 산업 분야에서의 AI 및 머신러닝 채택 확대가 시장을 주도하고 있습니다.

이번 조사는 업계 주요 관계자의 정보를 포함한 1차 정보와 2차 정보를 객관적으로 조합하여 실시되었습니다. 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
대상 기간 2029년
예측 기간 2025-2029
성장 모멘텀 가속
전년대비 21.1%
CAGR 24.2%
증가액 317억 2,440만 달러

이 보고서는 강력한 모델 학습을 위한 합성 데이터 생성의 보급이 향후 수년간 세계 생성형 AI 데이터 라벨링 솔루션 및 서비스 시장의 성장을 주도할 주요 요인 중 하나로 꼽았습니다. 또한 기반 모델을 활용한 고급 휴먼 인 더 루프(Human in the Loop) 프레임워크로의 발전과 복잡한 멀티모달 데이터세트을 위한 자동 라벨링의 출현은 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 Five Forces 분석

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

제6장 시장 세분화 : 최종사용자별

  • 비교 : 최종사용자별
  • IT 데이터
  • 헬스케어
  • 소매
  • 금융 서비스
  • 기타
  • 시장 기회 : 최종사용자별

제7장 시장 세분화 : 유형별

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

제8장 시장 세분화 : 제품별

  • 비교 : 제품별
  • 영상 또는 영상 기반
  • 텍스트 기반
  • 음성 기반
  • 시장 기회 : 제품별

제9장 고객 상황

제10장 지역별 상황

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

제11장 촉진요인·과제·기회

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

제12장 경쟁 구도

  • 개요
  • 경쟁 구도
  • 혼란 상황
  • 업계의 리스크

제13장 경쟁 분석

  • 기업 개요
  • 기업 순위 지표
  • 기업의 시장 포지셔닝
  • ALEGION
  • Amazon Mechanical Turk, Inc.
  • APPEN Ltd.
  • Clickworker GmbH
  • Cloudfactory
  • Cogito Tech LLC
  • Enable
  • Heex Technologies
  • iMerit
  • Labelbox
  • Scale
  • Shaip
  • SuperAnnotate
  • TaskUs Inc.
  • TELUS International Inc.

제14장 부록

KSA

The global generative AI in data labeling solution and services market is forecasted to grow by USD 31724.4 mn during 2024-2029, accelerating at a CAGR of 24.2% during the forecast period. The report on the global generative AI in data labeling solution and services 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 escalating demand for high-quality, large-scale datasets for advanced AI model training, rapid technological advancements and increased accessibility of foundation models, broadening adoption of AI and machine learning across diverse industry verticals.

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 202521.1%
CAGR24.2%
Incremental Value$31724.4 mn

Technavio's global generative AI in data labeling solution and services market is segmented as below:

By End-User

  • IT data
  • Healthcare
  • Retail
  • Financial services
  • Others

By Type

  • Semi-supervised
  • Automatic
  • Manual

By Product

  • Image or video based
  • Text based
  • Audio based

Geography

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

This study identifies the proliferation of synthetic data generation for robust model training as one of the prime reasons driving the global generative AI in data labeling solution and services market growth during the next few years. Also, evolution toward advanced human-in-the-loop frameworks powered by foundation models and emergence of automated labeling for complex multimodal datasets will lead to sizable demand in the market.

The report on the global generative AI in data labeling solution and services market covers the following areas:

  • Global generative AI in data labeling solution and services market sizing
  • Global generative AI in data labeling solution and services market forecast
  • Global generative AI in data labeling solution and services 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 generative AI in data labeling solution and services market vendors that include ALEGION, Amazon Mechanical Turk, Inc., APPEN Ltd., Clickworker GmbH, Cloudfactory, Cogito Tech LLC, Enable, Heex Technologies, iMerit, Labelbox, Scale, Shaip, SuperAnnotate, TaskUs Inc., TELUS International Inc.. Also, the global generative AI in data labeling solution and services 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 End-user
    • Executive Summary - Chart on Market Segmentation by Type
    • Executive Summary - Chart on Market Segmentation by Product
    • 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 Five Forces Analysis

  • 5.1 Five forces summary
    • Five forces analysis - Comparison between 2024 and 2029
  • 5.2 Bargaining power of buyers
    • Bargaining power of buyers - Impact of key factors 2024 and 2029
  • 5.3 Bargaining power of suppliers
    • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
  • 5.4 Threat of new entrants
    • Threat of new entrants - Impact of key factors in 2024 and 2029
  • 5.5 Threat of substitutes
    • Threat of substitutes - Impact of key factors in 2024 and 2029
  • 5.6 Threat of rivalry
    • Threat of rivalry - Impact of key factors in 2024 and 2029
  • 5.7 Market condition

6 Market Segmentation by End-user

  • 6.1 Market segments
  • 6.2 Comparison by End-user
  • 6.3 IT data - Market size and forecast 2024-2029
  • 6.4 Healthcare - Market size and forecast 2024-2029
  • 6.5 Retail - Market size and forecast 2024-2029
  • 6.6 Financial services - Market size and forecast 2024-2029
  • 6.7 Others - Market size and forecast 2024-2029
  • 6.8 Market opportunity by End-user
    • Market opportunity by End-user ($ million)

7 Market Segmentation by Type

  • 7.1 Market segments
  • 7.2 Comparison by Type
  • 7.3 Semi-supervised - Market size and forecast 2024-2029
  • 7.4 Automatic - Market size and forecast 2024-2029
  • 7.5 Manual - Market size and forecast 2024-2029
  • 7.6 Market opportunity by Type
    • Market opportunity by Type ($ million)

8 Market Segmentation by Product

  • 8.1 Market segments
  • 8.2 Comparison by Product
  • 8.3 Image or video based - Market size and forecast 2024-2029
  • 8.4 Text based - Market size and forecast 2024-2029
  • 8.5 Audio based - Market size and forecast 2024-2029
  • 8.6 Market opportunity by Product
    • Market opportunity by Product ($ million)

9 Customer Landscape

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

10 Geographic Landscape

  • 10.1 Geographic segmentation
  • 10.2 Geographic comparison
  • 10.3 North America - Market size and forecast 2024-2029
    • 10.3.1 US - Market size and forecast 2024-2029
    • 10.3.2 Canada - Market size and forecast 2024-2029
    • 10.3.3 Mexico - Market size and forecast 2024-2029
  • 10.4 APAC - Market size and forecast 2024-2029
    • 10.4.1 China - Market size and forecast 2024-2029
    • 10.4.2 India - Market size and forecast 2024-2029
    • 10.4.3 South Korea - Market size and forecast 2024-2029
    • 10.4.4 Japan - Market size and forecast 2024-2029
    • 10.4.5 Australia - Market size and forecast 2024-2029
    • 10.4.6 Indonesia - Market size and forecast 2024-2029
  • 10.5 Europe - Market size and forecast 2024-2029
    • 10.5.1 Germany - Market size and forecast 2024-2029
    • 10.5.2 UK - Market size and forecast 2024-2029
    • 10.5.3 France - Market size and forecast 2024-2029
    • 10.5.4 Italy - Market size and forecast 2024-2029
    • 10.5.5 The Netherlands - Market size and forecast 2024-2029
    • 10.5.6 Spain - Market size and forecast 2024-2029
  • 10.6 South America - Market size and forecast 2024-2029
    • 10.6.1 Brazil - Market size and forecast 2024-2029
    • 10.6.2 Argentina - Market size and forecast 2024-2029
    • 10.6.3 Colombia - Market size and forecast 2024-2029
  • 10.7 Middle East and Africa - Market size and forecast 2024-2029
    • 10.7.1 South Africa - Market size and forecast 2024-2029
    • 10.7.2 Saudi Arabia - Market size and forecast 2024-2029
    • 10.7.3 UAE - Market size and forecast 2024-2029
    • 10.7.4 Israel - Market size and forecast 2024-2029
    • 10.7.5 Turkey - Market size and forecast 2024-2029
  • 10.8 Market opportunity by geography
    • Market opportunity by geography ($ million)
    • Data Tables on Market opportunity by geography ($ million)

11 Drivers, Challenges, and Opportunity

  • 11.1 Market drivers
    • Escalating demand for high-quality, large-scale datasets for advanced AI model training
    • Rapid technological advancements and increased accessibility of foundation models
    • Broadening adoption of AI and machine learning across diverse industry verticals
  • 11.2 Market challenges
    • Ensuring accuracy, quality control, and mitigation of inherent model bias
    • High computational costs and the scarcity of specialized expertise
    • Navigating data privacy, security, and a complex regulatory landscape
  • 11.3 Impact of drivers and challenges
    • Impact of drivers and challenges in 2024 and 2029
  • 11.4 Market opportunities
    • Proliferation of synthetic data generation for robust model training
    • Evolution toward advanced human-in-the-loop frameworks powered by foundation models
    • Emergence of automated labeling for complex multimodal datasets

12 Competitive Landscape

  • 12.1 Overview
  • 12.2 Competitive Landscape
    • Overview on criticality of inputs and factors of differentiation
  • 12.3 Landscape disruption
    • Overview on factors of disruption
  • 12.4 Industry risks
    • Impact of key risks on business

13 Competitive Analysis

  • 13.1 Companies profiled
    • Companies covered
  • 13.2 Company ranking index
    • Company ranking index
  • 13.3 Market positioning of companies
    • Matrix on companies position and classification
  • 13.4 ALEGION
    • ALEGION - Overview
    • ALEGION - Product / Service
    • ALEGION - Key offerings
    • SWOT
  • 13.5 Amazon Mechanical Turk, Inc.
    • Amazon Mechanical Turk, Inc. - Overview
    • Amazon Mechanical Turk, Inc. - Product / Service
    • Amazon Mechanical Turk, Inc. - Key offerings
    • SWOT
  • 13.6 APPEN Ltd.
    • APPEN Ltd. - Overview
    • APPEN Ltd. - Product / Service
    • APPEN Ltd. - Key offerings
    • SWOT
  • 13.7 Clickworker GmbH
    • Clickworker GmbH - Overview
    • Clickworker GmbH - Product / Service
    • Clickworker GmbH - Key offerings
    • SWOT
  • 13.8 Cloudfactory
    • Cloudfactory - Overview
    • Cloudfactory - Product / Service
    • Cloudfactory - Key offerings
    • SWOT
  • 13.9 Cogito Tech LLC
    • Cogito Tech LLC - Overview
    • Cogito Tech LLC - Product / Service
    • Cogito Tech LLC - Key offerings
    • SWOT
  • 13.10 Enable
    • Enable - Overview
    • Enable - Product / Service
    • Enable - Key offerings
    • SWOT
  • 13.11 Heex Technologies
    • Heex Technologies - Overview
    • Heex Technologies - Product / Service
    • Heex Technologies - Key offerings
    • SWOT
  • 13.12 iMerit
    • iMerit - Overview
    • iMerit - Product / Service
    • iMerit - Key offerings
    • SWOT
  • 13.13 Labelbox
    • Labelbox - Overview
    • Labelbox - Product / Service
    • Labelbox - Key offerings
    • SWOT
  • 13.14 Scale
    • Scale - Overview
    • Scale - Product / Service
    • Scale - Key offerings
    • SWOT
  • 13.15 Shaip
    • Shaip - Overview
    • Shaip - Product / Service
    • Shaip - Key offerings
    • SWOT
  • 13.16 SuperAnnotate
    • SuperAnnotate - Overview
    • SuperAnnotate - Product / Service
    • SuperAnnotate - Key offerings
    • SWOT
  • 13.17 TaskUs Inc.
    • TaskUs Inc. - Overview
    • TaskUs Inc. - Product / Service
    • TaskUs Inc. - Key offerings
    • SWOT
  • 13.18 TELUS International Inc.
    • TELUS International Inc. - Overview
    • TELUS International Inc. - Product / Service
    • TELUS International Inc. - Key offerings
    • SWOT

14 Appendix

  • 14.1 Scope of the report
    • Market definition
    • Objectives
    • Notes and caveats
  • 14.2 Inclusions and exclusions checklist
    • Inclusions checklist
    • Exclusions checklist
  • 14.3 Currency conversion rates for US$
    • Currency conversion rates for US$
  • 14.4 Research methodology
    • Research methodology
  • 14.5 Data procurement
    • Information sources
  • 14.6 Data validation
    • Data validation
  • 14.7 Validation techniques employed for market sizing
    • Validation techniques employed for market sizing
  • 14.8 Data synthesis
    • Data synthesis
  • 14.9 360 degree market analysis
    • 360 degree market analysis
  • 14.10 List of abbreviations
    • List of abbreviations
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