2025-2029年全球人工智慧數據標註解決方案與服務市場
市場調查報告書
商品編碼
1915657

2025-2029年全球人工智慧數據標註解決方案與服務市場

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

出版日期: | 出版商: TechNavio | 英文 285 Pages | 訂單完成後即時交付

價格
簡介目錄

全球生成式人工智慧數據標註解決方案和服務市場預計將達到 317.244 億美元,在 2024 年至 2029 年的預測期內,複合年成長率將達到 24.2%。本報告對全球基於生成式人工智慧的數據標註解決方案和服務市場進行了全面分析,包括市場規模和預測、趨勢、成長要素、挑戰以及對約 25 家公司的供應商分析。

本報告對當前市場格局、最新趨勢和促進因素以及整體市場環境進行了最新分析,其促進因素包括:對用於訓練高級人工智慧模型的高品質和大型資料集的需求不斷成長;技術的快速創新和底層模型的日益普及;以及人工智慧和機器學習在各個行業垂直領域的日益普及。

本研究採用客觀的方法,結合一手和二手訊息,包括來自主要行業相關人員的意見。報告包含全面的市場規模數據、區域細分分析、供應商格局以及對主要企業的分析。報告提供歷史數據和預測數據。

市場覆蓋範圍
基準年 2025
目標期 2029
預測期 2025-2029
成長勢頭 加速度
同比 21.1%
複合年成長率 24.2%
增量 317.244億美元

研究指出,合成資料產生技術的廣泛應用,對於穩健的模型訓練至關重要,是未來幾年推動全球生成式人工智慧資料標註解決方案和服務市場成長的關鍵因素之一。此外,利用底層模型的高階人機協作框架的演進,以及複雜多模態資料集自動化標註技術的出現,預計也將為市場帶來巨大的需求。

目錄

第1章執行摘要

第2章 Technavio 分析

  • 價格、生命週期、顧客購買籃、採用率和購買標準分析
  • 投入與差異化因素的重要性
  • 混淆來源
  • 促進因素和挑戰的影響

第3章 市場情勢

  • 市場生態系統
  • 市場特徵
  • 價值鏈分析

第4章 市場規模

  • 市場定義
  • 市場區隔分析
  • 2024年市場規模
  • 2024-2029年市場展望

第5章五力分析

  • 五力分析概述
  • 買方的議價能力
  • 供應商的議價能力
  • 新進入者的威脅
  • 替代品的威脅
  • 競爭威脅
  • 市場狀況

6. 按最終用戶進行市場區隔

  • 比較:按最終用戶
  • IT數據
  • 衛生保健
  • 零售
  • 金融服務
  • 其他
  • 按最終用戶分類的市場機會

7. 按類型分類的市場細分

  • 比較:按類型
  • 半監督
  • 自動的
  • 手動的
  • 按類型分類的市場機會

第8章 按產品進行市場細分

  • 比較:按產品
  • 基於圖像或影片
  • 基於文字
  • 基於語音
  • 按產品分類的市場機會

第9章 客戶狀況

第10章 區域情勢

  • 區域細分
  • 區域比較
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 亞太地區
    • 中國
    • 印度
    • 韓國
    • 日本
    • 澳洲
    • 印尼
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 荷蘭
    • 西班牙
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
  • 中東和非洲
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 以色列
    • 土耳其
  • 各區域的市場機遇

第11章:促進因素、挑戰與機遇

  • 市場促進因素
  • 市場挑戰
  • 促進因素和挑戰的影響
  • 市場機遇

第12章 競爭格局

  • 概述
  • 競爭格局
  • 令人困惑的局面
  • 產業風險

第13章 競爭分析

  • 公司簡介
  • 企業排名指數
  • 公司市場定位
  • 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.

第14章附錄

簡介目錄
Product Code: IRTNTR81052

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