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市场调查报告书
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1710324

2025年人力资源(HR)领域生成式AI(AI)全球市场报告

Generative Artificial Intelligence (AI) In Human Resources (HR) Global Market Report 2025

出版日期: | 出版商: The Business Research Company | 英文 200 Pages | 商品交期: 2-10个工作天内

价格
简介目录

预计未来几年人力资源(HR)领域生成式AI(AI)的市场规模将快速成长。到 2029 年,这一数字将成长至 14.5 亿美元,复合年增长率为 17.9%。预测期内的成长可归因于人工智慧技术的采用率不断提高、劳动力管理的复杂性不断增加、对增强员工敬业度策略的需求、对即时绩效回馈机制的需求、对持续学习和发展的重视、扩大人工智慧在预测分析中的能力,以及将人工智慧与现有人力资源系统整合以简化业务。预测期内的关键趋势包括人工智慧聊天机器人和虚拟助理的采用日益增多、机器学习演算法在人才管理和劳动力规划中的使用日益增多、透过人工智慧产生的内容对个人化员工体验的需求日益增加、人工智慧在招聘和僱用过程中的应用日益增多、人工智慧与现有人力资源系统的整合以提高效率、更加关注人工智慧在招聘和员工发展,以及云端基础的预期主导

预计不断增长的自动化需求将极大地推动人力资源 (HR) 市场中生成式AI(AI) 的扩张。自动化涉及以最少的人力投入执行任务以提高效率和生产力,并且由于其用自动化系统取代体力劳动的能力而越来越受到追捧。对自动化日益增长的需求很大程度上是由对效率、降低成本和提高准确性的需求所驱动。人力资源中的生成式人工智慧透过自动执行重复性任务(例如候选人筛检、职位说明创建和绩效评估)来支援这种转变。这项技术不仅提高了人力资源效率并减少了手动任务,而且还使人力资源负责人能够专注于更具策略性的角色。例如,英国数位、文化、媒体和体育部(DCMS)和凯投宏观(Capital Economics)在2022年1月进行的一项调查预测,人工智慧的采用率将从2020年的15.1%大幅上升至2025年的22.7%。这意味着将有另外267,000家企业将人工智慧融入业务中。此外,预计到2040年,约有34.8%的公司将引进人工智慧,约有130万家公司将使用这项技术。因此,自动化的普及是人力资源产生人工智慧成长的关键驱动力。

人力资源生成人工智慧市场的关键参与者正在推广自己的人工智慧技术,以改善招聘流程、增强候选人来源、提高员工敬业度、自动化日常人力资源业务,并提供资料驱动的洞察力,以实现更好的劳动力管理。自主研发的人工智慧技术是指由企业或个人独立开发、拥有,受专利、版权、商业机密等智慧财产权保护的人工智慧系统或演算法。例如,2023年3月,英国人才参与和招募软体公司Beamery推出了全球首个用于人力资源技术的生成式人工智慧TalentGPT。 TalentGPT 利用 Beamery 的专有 AI 以及 OpenAI 的 GPT-4 等先进的大规模语言模型来提供高度个人化的人力资源解决方案。这项创新旨在透过即时自订内容、职位描述、电子邮件范本和职业建议来改变人力资源业务,以满足组织和员工的特定需求。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场 - 宏观经济情景,包括利率、感染疾病、地缘政治、新冠疫情、经济復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球人力资源(HR)中的生成式AI(AI)PESTEL分析(政治、社会、技术、环境、法律因素、驱动因素和限制因素)
  • 最终用途产业分析
  • 全球人力资源(HR)市场中的生成式AI(AI):成长率分析
  • 全球人力资源(HR)市场中的生成式AI(AI):规模与成长,2019-2024
  • 全球人力资源 (HR)生成式AI(AI) 市场预测:规模与成长,2024-2029 年,2034 年
  • 全球生成式AI(AI)在人力资源(HR)领域的总可寻址市场(TAM)

第六章市场区隔

  • 全球人力资源 (HR) 市场生成式AI(AI) 技术、效能及预测,2019-2024 年、2024-2029 年及 2034 年
  • 机器学习
  • 自然语言处理
  • 深度学习
  • 电脑视觉
  • 机器人流程自动化
  • 全球人力资源 (HR) 市场生成式AI(AI) 部署模式、绩效与预测(2019-2024 年、2024-2029 年及 2034 年)
  • 云端基础
  • 本地
  • 全球人力资源(HR)生成式AI(AI)市场的应用、表现及预测,2019-2024 年、2024-2029 年、2034 年
  • 招聘与就业
  • 入职
  • 绩效管理
  • 提高效率
  • 其他用途
  • 全球人力资源(HR)领域生成式AI(AI)市场依机器学习类型、效能及预测细分,2019-2024 年、2024-2029 年及 2034 年
  • 员工留任的预测分析
  • 人才获取和招募优化
  • 绩效评估模型
  • 员工敬业度分析
  • 技能差距分析
  • 全球人力资源 (HR) 自然语言处理 (NLP) 领域生成式AI(AI) 市场区隔(按类型)、表现及预测,2019-2024 年、2024-2029 年、2034 年
  • 自动履历筛检和分析
  • 用于候选人互动的聊天机器人
  • 员工回馈的情绪分析
  • 个人化沟通和参与工具
  • 优化职位说明
  • 全球人力资源 (HR) 领域生成式AI(AI) 市场深度学习细分(按类型、效能和预测),2019-2024 年、2024-2029 年、2034 年
  • 候选人技能匹配与评估
  • 视讯访谈分析
  • 个人化员工培训
  • 劳动力规划的高阶预测模型
  • 学习体验平台(LEP)
  • 全球人力资源 (HR)生成式AI(AI) 市场、电脑视觉细分领域、按类型、效能和预测,2019-2024 年、2024-2029 年、2034 年
  • 脸部辨识用于考勤追踪
  • 员工行为与敬业度分析
  • 用于训练模拟的虚拟实境(VR)
  • 职场安全监控
  • 设施管理的自动化视觉检查
  • 全球人力资源(HR)领域生成式AI(AI)市场按机器人流程自动化(RPA)类型细分,实际情况及预测,2019-2024 年、2024-2029 年、2034 年
  • 自动化重复性人力资源任务(入职)
  • 自动化资料输入与记录保存
  • 自动化薪资核算处理和合规性
  • 员工自助服务门户
  • 自动化人力资源报告与分析

第七章 区域和国家分析

  • 全球人力资源(HR)市场中的生成式AI(AI):按地区、绩效及预测,2019-2024 年、2024-2029 年、2034 年
  • 全球人力资源 (HR) 市场中的生成式AI(AI):按国家/地区、业绩及预测,2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章:中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章 德国市场

第十八章 法国市场

第十九章:义大利市场

第20章:西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章:加拿大市场

第26章 南美洲市场

第27章:巴西市场

第28章 中东市场

第29章:非洲市场

第30章竞争格局与公司概况

  • 人力资源(HR)领域的生成式AI(AI):竞争格局
  • 人力资源(HR)中的生成式AI(AI):公司简介
    • International Business Machines Corp. Overview, Products and Services, Strategy and Financial Analysis
    • Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • SAP SE Overview, Products and Services, Strategy and Financial Analysis
    • Automatic Data Processing Inc Overview, Products and Services, Strategy and Financial Analysis
    • Workday Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型创新企业

  • Cegid Group SA
  • Cornerstone OnDemand Inc
  • Phenom People Inc
  • Jobvite Inc
  • Harver BV
  • Eightfold AI Inc.
  • Beamery Inc.
  • Paradox Inc.
  • Workable Technology Limited
  • ClearCompany Inc.
  • Aisera Inc.
  • Gloat Inc
  • JobAdder Operations Pty Ltd
  • SeekOut
  • TEXTIO INC.

第 32 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章 高市场潜力国家、细分市场与策略

  • 2029年人力资源(HR)市场中的生成式AI(AI):提供新机会的国家
  • 2029年人力资源(HR)市场中的生成式AI(AI):细分领域带来新机会
  • 2029年人力资源(HR)市场中的生成式AI(AI):成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第36章 附录

简介目录
Product Code: r31903

Generative artificial intelligence (AI) in human resources (HR) involves using AI models to create new content, such as text, images, or audio, to support various HR tasks and processes. These AI models, trained on large datasets, can generate novel outputs that resemble the data they were trained on.

The main technologies of generative AI in HR include machine learning, natural language processing, deep learning, computer vision, and robotic process automation. Machine learning (ML) in HR enables AI systems to learn from data and improve over time without explicit programming. Deployment options include cloud-based and on-premise solutions, used for applications such as recruiting and hiring, onboarding, performance management, and overall efficiency improvements.

The generative artificial intelligence (AI) in human resources (HR) market research report is one of a series of new reports from The Business Research Company that provides generative artificial intelligence (AI) in human resources (HR) market statistics, including generative artificial intelligence (AI) in human resources (HR) industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in human resources (HR) market share, detailed generative artificial intelligence (AI) in human resources (HR) market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in human resources (HR) industry. This generative artificial intelligence (AI) in human resources (HR) market research report delivers a complete perspective on everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The generative artificial intelligence (AI) in human resources (hr) market size has grown rapidly in recent years. It will grow from $0.63 $ billion in 2024 to $0.75 $ billion in 2025 at a compound annual growth rate (CAGR) of 18.3%. The growth in the historic period can be attributed to the rise of data-driven decision-making, demand for personalized employee experiences, evolution of recruitment processes, emergence of advanced analytics tools, the growing importance of diversity and inclusion initiatives, and shift towards remote and hybrid work environments.

The generative artificial intelligence (AI) in human resources (hr) market size is expected to see rapid growth in the next few years. It will grow to $1.45 $ billion in 2029 at a compound annual growth rate (CAGR) of 17.9%. The growth in the forecast period can be attributed to the growth of AI technology adoption, increasing complexity of workforce management, demand for enhanced employee engagement strategies, necessity for real-time performance feedback mechanisms, focus on continuous learning and development, expansion of AI capabilities in predictive analytics, integration of AI with existing HR systems to streamline operations. Major trends in the forecast period include increasing adoption of AI-powered chatbots and virtual assistants, growing use of machine learning algorithms for talent management and workforce planning, rising demand for personalized employee experiences through AI-generated content, expanding application of AI in recruiting and hiring processes, integration of AI with existing HR systems for enhanced efficiency, increasing focus on AI-driven performance management and employee development, anticipated growth of the cloud-based deployment of generative AI solutions in HR.

The growing demand for automation is expected to significantly drive the expansion of generative artificial intelligence (AI) within the human resources (HR) market. Automation, which involves executing tasks with minimal human input to boost efficiency and productivity, is increasingly sought after for its ability to replace manual efforts with automated systems. This rising demand for automation is largely fueled by the need for greater efficiency, cost reductions, and improved accuracy. Generative AI in HR supports this shift by automating repetitive tasks such as candidate screening, job description creation, and performance evaluations. This technology not only improves HR efficiency and reduces manual workloads but also allows HR professionals to concentrate on more strategic roles. For example, a study conducted by the Department for Digital, Culture, Media & Sport (DCMS) and Capital Economics in January 2022 projected a significant increase in AI adoption from 15.1% in 2020 to 22.7% by 2025. This indicates that an additional 267,000 businesses will integrate AI into their operations. Furthermore, by 2040, approximately 34.8% of businesses are expected to adopt AI, equating to around 1.3 million companies utilizing the technology. Thus, the surge in automation is a key driver for the growth of generative AI in HR.

Key players in the generative AI in HR market are advancing their proprietary AI technologies to improve recruitment processes, enhance candidate sourcing, boost employee engagement, automate routine HR tasks, and offer data-driven insights for better workforce management. Proprietary AI technology refers to artificial intelligence systems and algorithms that are uniquely developed and owned by a company or individual, protected by intellectual property rights such as patents, copyrights, or trade secrets. For instance, in March 2023, Beamery, a UK-based talent engagement and recruitment software company, introduced TalentGPT, the world's first generative AI for HR technology. TalentGPT utilizes Beamery's proprietary AI alongside advanced large language models such as OpenAI's GPT-4 to offer highly personalized HR solutions. This innovation allows for real-time customization of content, job descriptions, email templates, and career recommendations to align with the specific needs of organizations and employees, aiming to transform HR practices.

In April 2024, Apax Funds, a UK-based private equity firm, acquired Zellis Group for an undisclosed sum. Apax plans to utilize Zellis's robust product offerings and established customer relationships to drive future success. With previous investments in the sector, such as Paycor, Apax's expertise is expected to enhance Zellis's technology and market approach, strengthening its position. Zellis Group, a UK-based provider of HR and payroll solutions, offers a range of services including generative AI-powered solutions such as a chat interface.

Major companies operating in the generative artificial intelligence (AI) in human resources (HR) market are International Business Machines Corp., Oracle Corporation, SAP SE, Automatic Data Processing Inc, Workday Inc., Cegid Group S.A., Cornerstone OnDemand Inc, Phenom People Inc, Jobvite Inc, Harver B.V., Eightfold AI Inc., Beamery Inc., Paradox Inc., Workable Technology Limited, ClearCompany Inc., Aisera Inc., Gloat Inc, JobAdder Operations Pty Ltd, SeekOut, TEXTIO INC., TalentGuard Inc., Cezanne HR Limited, Pymetrics Inc

North America was the largest region in the generative artificial intelligence (AI) in human resources (HR) market in 2023. Asia Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in human resources (HR) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the generative artificial intelligence (AI) in human resources (HR) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The generative artificial intelligence (AI) in the human resources (HR) market includes revenues earned by entities by providing services such as predictive analytics, AI-driven recruitment solutions and related talent management and development, human resources (HR) system integration, and administrative automation. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Generative Artificial Intelligence (AI) In Human Resources (HR) Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on generative artificial intelligence (ai) in human resources (hr) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for generative artificial intelligence (ai) in human resources (hr) ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The generative artificial intelligence (ai) in human resources (hr) market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Technology: Machine Learning; Natural Language Processing; Deep Learning; Computer Vision; Robotic Process Automation
  • 2) By Deployment Mode: Cloud-Based; On-Premise
  • 3) By Application: Recruiting And Hiring; Onboarding; Performance Management; Improved Efficiency; Other Applications
  • Subsegments:
  • 1) By Machine Learning: Predictive Analytics For Employee Retention; Talent Acquisition And Recruitment Optimization; Performance Evaluation Models; Employee Engagement Analysis; Skills Gap Analysis
  • 2) By Natural Language Processing (NLP): Automated Resume Screening And Parsing; Chatbots For Candidate Interaction; Sentiment Analysis Of Employee Feedback; Personalized Communication And Engagement Tools; Job Description Optimization
  • 3) By Deep Learning: Candidate Skill Matching And Assessment; Video Interview Analysis; Employee Training Personalization; Advanced Predictive Models For Workforce Planning; Learning Experience Platforms (LEPs)
  • 4) By Computer Vision: Facial Recognition For Attendance Tracking; Analysis Of Employee Behavior And Engagement; Virtual Reality (VR) For Training Simulations; Safety Monitoring In Workplace Environments; Automated Visual Inspections For Facilities Management
  • 5) By Robotic Process Automation (RPA): Automating Repetitive HR Tasks (e.g., Onboarding); Data Entry And Record Management Automation; Payroll Processing And Compliance Automation; Employee Self-Service Portals; HR Reporting And Analytics Automation.
  • Companies Mentioned: International Business Machines Corp.; Oracle Corporation; SAP SE; Automatic Data Processing Inc; Workday Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Generative Artificial Intelligence (AI) In Human Resources (HR) Market Characteristics

3. Generative Artificial Intelligence (AI) In Human Resources (HR) Market Trends And Strategies

4. Generative Artificial Intelligence (AI) In Human Resources (HR) Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Generative Artificial Intelligence (AI) In Human Resources (HR) Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Generative Artificial Intelligence (AI) In Human Resources (HR) PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Generative Artificial Intelligence (AI) In Human Resources (HR) Market Growth Rate Analysis
  • 5.4. Global Generative Artificial Intelligence (AI) In Human Resources (HR) Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Generative Artificial Intelligence (AI) In Human Resources (HR) Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Generative Artificial Intelligence (AI) In Human Resources (HR) Total Addressable Market (TAM)

6. Generative Artificial Intelligence (AI) In Human Resources (HR) Market Segmentation

  • 6.1. Global Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning
  • Natural Language Processing
  • Deep Learning
  • Computer Vision
  • Robotic Process Automation
  • 6.2. Global Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud-Based
  • On-Premise
  • 6.3. Global Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Recruiting And Hiring
  • Onboarding
  • Performance Management
  • Improved Efficiency
  • Other Applications
  • 6.4. Global Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Sub-Segmentation Of Machine Learning, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Predictive Analytics For Employee Retention
  • Talent Acquisition And Recruitment Optimization
  • Performance Evaluation Models
  • Employee Engagement Analysis
  • Skills Gap Analysis
  • 6.5. Global Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Sub-Segmentation Of Natural Language Processing (NLP), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Automated Resume Screening And Parsing
  • Chatbots For Candidate Interaction
  • Sentiment Analysis Of Employee Feedback
  • Personalized Communication And Engagement Tools
  • Job Description Optimization
  • 6.6. Global Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Sub-Segmentation Of Deep Learning, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Candidate Skill Matching And Assessment
  • Video Interview Analysis
  • Employee Training Personalization
  • Advanced Predictive Models For Workforce Planning
  • Learning Experience Platforms (LEPs)
  • 6.7. Global Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Sub-Segmentation Of Computer Vision, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Facial Recognition For Attendance Tracking
  • Analysis Of Employee Behavior And Engagement
  • Virtual Reality (VR) For Training Simulations
  • Safety Monitoring In Workplace Environments
  • Automated Visual Inspections For Facilities Management
  • 6.8. Global Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Sub-Segmentation Of Robotic Process Automation (RPA), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Automating Repetitive HR Tasks (Onboarding)
  • Data Entry And Record Management Automation
  • Payroll Processing And Compliance Automation
  • Employee Self-Service Portals
  • HR Reporting And Analytics Automation

7. Generative Artificial Intelligence (AI) In Human Resources (HR) Market Regional And Country Analysis

  • 7.1. Global Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 8.1. Asia-Pacific Generative Artificial Intelligence (AI) In Human Resources (HR) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 9.1. China Generative Artificial Intelligence (AI) In Human Resources (HR) Market Overview
  • 9.2. China Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 10.1. India Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 11.1. Japan Generative Artificial Intelligence (AI) In Human Resources (HR) Market Overview
  • 11.2. Japan Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 12.1. Australia Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 13.1. Indonesia Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 14.1. South Korea Generative Artificial Intelligence (AI) In Human Resources (HR) Market Overview
  • 14.2. South Korea Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 15.1. Western Europe Generative Artificial Intelligence (AI) In Human Resources (HR) Market Overview
  • 15.2. Western Europe Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 16.1. UK Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 17.1. Germany Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 18.1. France Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 19.1. Italy Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 20.1. Spain Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 21.1. Eastern Europe Generative Artificial Intelligence (AI) In Human Resources (HR) Market Overview
  • 21.2. Eastern Europe Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 22.1. Russia Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 23.1. North America Generative Artificial Intelligence (AI) In Human Resources (HR) Market Overview
  • 23.2. North America Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 24.1. USA Generative Artificial Intelligence (AI) In Human Resources (HR) Market Overview
  • 24.2. USA Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 25.1. Canada Generative Artificial Intelligence (AI) In Human Resources (HR) Market Overview
  • 25.2. Canada Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 26.1. South America Generative Artificial Intelligence (AI) In Human Resources (HR) Market Overview
  • 26.2. South America Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 27.1. Brazil Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 28.1. Middle East Generative Artificial Intelligence (AI) In Human Resources (HR) Market Overview
  • 28.2. Middle East Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Generative Artificial Intelligence (AI) In Human Resources (HR) Market

  • 29.1. Africa Generative Artificial Intelligence (AI) In Human Resources (HR) Market Overview
  • 29.2. Africa Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Generative Artificial Intelligence (AI) In Human Resources (HR) Market Competitive Landscape And Company Profiles

  • 30.1. Generative Artificial Intelligence (AI) In Human Resources (HR) Market Competitive Landscape
  • 30.2. Generative Artificial Intelligence (AI) In Human Resources (HR) Market Company Profiles
    • 30.2.1. International Business Machines Corp. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. SAP SE Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Automatic Data Processing Inc Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Workday Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Generative Artificial Intelligence (AI) In Human Resources (HR) Market Other Major And Innovative Companies

  • 31.1. Cegid Group S.A.
  • 31.2. Cornerstone OnDemand Inc
  • 31.3. Phenom People Inc
  • 31.4. Jobvite Inc
  • 31.5. Harver B.V.
  • 31.6. Eightfold AI Inc.
  • 31.7. Beamery Inc.
  • 31.8. Paradox Inc.
  • 31.9. Workable Technology Limited
  • 31.10. ClearCompany Inc.
  • 31.11. Aisera Inc.
  • 31.12. Gloat Inc
  • 31.13. JobAdder Operations Pty Ltd
  • 31.14. SeekOut
  • 31.15. TEXTIO INC.

32. Global Generative Artificial Intelligence (AI) In Human Resources (HR) Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Generative Artificial Intelligence (AI) In Human Resources (HR) Market

34. Recent Developments In The Generative Artificial Intelligence (AI) In Human Resources (HR) Market

35. Generative Artificial Intelligence (AI) In Human Resources (HR) Market High Potential Countries, Segments and Strategies

  • 35.1 Generative Artificial Intelligence (AI) In Human Resources (HR) Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Generative Artificial Intelligence (AI) In Human Resources (HR) Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Generative Artificial Intelligence (AI) In Human Resources (HR) Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer