2025-2029年全球人工智慧数据标註解决方案与服务市场
市场调查报告书
商品编码
1915657

2025-2029年全球人工智慧数据标註解决方案与服务市场

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

出版日期: | 出版商: TechNavio | 英文 285 Pages | 订单完成后即时交付

价格
简介目录

全球生成式人工智慧数据标註解决方案和服务市场预计将达到 317.244 亿美元,在 2024 年至 2029 年的预测期内,复合年增长率将达到 24.2%。本报告对全球基于生成式人工智慧的数据标註解决方案和服务市场进行了全面分析,包括市场规模和预测、趋势、成长要素、挑战以及对约 25 家公司的供应商分析。

本报告对当前市场格局、最新趋势和驱动因素以及整体市场环境进行了最新分析,其驱动因素包括:对用于训练高级人工智慧模型的高品质和大型数据集的需求不断增长;技术的快速创新和底层模型的日益普及;以及人工智慧和机器学习在各个行业垂直领域的日益普及。

本研究采用客观的方法,结合一手和二手讯息,包括来自主要行业相关人员的意见。报告包含全面的市场规模数据、区域細項分析、供应商格局以及对主要企业的分析。报告提供历史数据和预测数据。

市场覆盖范围
基准年 2025
目标期 2029
预测期 2025-2029
成长势头 加速度
同比 21.1%
复合年增长率 24.2%
增量 317.244亿美元

研究指出,合成资料产生技术的广泛应用,对于稳健的模型训练至关重要,是未来几年推动全球生成式人工智慧资料标註解决方案和服务市场成长的关键因素之一。此外,利用底层模型的高阶人机协作框架的演进,以及复杂多模态资料集自动化标註技术的出现,预计也将为市场带来巨大的需求。

目录

第一章执行摘要

第二章 Technavio 分析

  • 价格、生命週期、顾客购买篮、采用率和购买标准分析
  • 投入与差异化因素的重要性
  • 混淆来源
  • 驱动因素和挑战的影响

第三章 市场情势

  • 市场生态系统
  • 市场特征
  • 价值链分析

第四章 市场规模

  • 市场定义
  • 市场区隔分析
  • 2024年市场规模
  • 2024-2029年市场展望

第五章五力分析

  • 五力分析概述
  • 买方的议价能力
  • 供应商的议价能力
  • 新进入者的威胁
  • 替代品的威胁
  • 竞争威胁
  • 市场状况

6. 按最终用户进行市场区隔

  • 比较:按最终用户
  • IT数据
  • 卫生保健
  • 零售
  • 金融服务
  • 其他的
  • 按最终用户分類的市场机会

7. 按类型分類的市场细分

  • 比较:按类型
  • 半监督
  • 自动的
  • 手动的
  • 按类型分類的市场机会

第八章 按产品进行市场细分

  • 比较:按产品
  • 基于图像或影片
  • 基于文字
  • 基于语音
  • 按产品分類的市场机会

第九章 客户状况

第十章 区域情势

  • 区域细分
  • 区域比较
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 亚太地区
    • 中国
    • 印度
    • 韩国
    • 日本
    • 澳洲
    • 印尼
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 荷兰
    • 西班牙
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
  • 中东和非洲
    • 南非
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 以色列
    • 土耳其
  • 各区域的市场机会

第十一章:驱动因素、挑战与机会

  • 市场驱动因素
  • 市场挑战
  • 驱动因素和挑战的影响
  • 市场机会

第十二章 竞争格局

  • 概述
  • 竞争格局
  • 令人困惑的局面
  • 产业风险

第十三章 竞争分析

  • 公司简介
  • 企业排名指数
  • 公司市场定位
  • 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.

第十四章附录

简介目录
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