查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
2021735

人工智慧市场预测（至2034年）：人力资源技术领域的全球分析（按组件、技术、部署模式、组织规模、应用、最终用户和地区划分）

AI in Human Resource Technology Market Forecasts to 2034 - Global Analysis By Component (Solutions and Services), Technology, Deployment Mode, Organization Size, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，预计到 2026 年，全球人力资源技术领域的 AI 市场规模将达到 68 亿美元，在预测期内将以 24.8% 的复合年增长率增长，到 2034 年将达到 400 亿美元。

人力资源技术领域的人工智慧利用人工智慧工具来增强和自动化人力资源职能，例如人才招聘、入职、绩效评估、薪酬管理和员工敬业度提升。透过数据分析，人工智慧可以识别趋势、预测人才需求并支援明智的决策。这有助于减少招募中的偏见、加快人力资源流程、提高组织效率并提供个人化的员工体验，最终打造更有效率、更具策略性管理的员工队伍。

对人才分析和劳动效率的需求日益增长

人工智慧驱动的人才分析平台能够处理数千份履历，评估候选人与企业文化的契合度，并以前所未有的精准度预测其成功率。此外，企业正在利用人力资源规划工具来优化人员配置，并即时识别生产力瓶颈。向混合办公模式的转变进一步提升了对数位化人力资源工具的需求，这些工具能够在不干扰员工的情况下监控远距员工的敬业度和绩效。随着企业竞相争夺专业人才，人工智慧透过缩短招募週期和降低管理成本，带来了可衡量的投资回报。随着对资料驱动型人才分析的依赖性不断增强，人力资源部门正从行政职能部门转型为策略性业务伙伴，并在全球市场加速普及应用。

资料隐私问题和演算法偏见风险

许多基于过往招募资料训练的人工智慧模型可能会无意中延续现有的性别、种族和年龄偏见，导致歧视性结果和法律责任。中小企业通常缺乏专门的法律团队来审查人工智慧的决策流程，因此对实施全自动系统持谨慎态度。此外，一些深度学习演算法的「黑箱」特性使得人力资源负责人难以向候选人和内部相关人员解释拒绝决定。如果没有透明且可解释的人工智慧框架和定期的偏见审核，企业将面临声誉受损和监管机构罚款的风险，目前限制了人工智慧在风险规避型行业的广泛应用。

将生成式人工智慧整合到员工自助服务和内容创作中。

由生成式人工智慧驱动的聊天机器人能够以多种语言处理员工关于福利、薪资和休假政策的复杂咨询，从而将人力资源部门的咨询量减少高达 70%。此外，生成式模型还能自动建立个人化的职位说明、入职资料、训练模组和绩效评估总结，节省大量人工时间。在学习与发展领域，生成式人工智慧能够即时创建自适应课程内容，并根据个人技能差距和学习偏好进行客製化。随着大规模语言模式变得更加经济实惠且更具情境感知能力，人力资源平台将能够提供高度个人化的职涯发展路径提案和继任计画洞察。将生成式人工智慧整合到现有套件中的供应商将透过为企业带来实际的生产力提升和更佳的员工体验，获得显着的市场份额。

传统人力资源负责人对改变的抵制

许多人力资源负责人担心，招募、甄选和绩效追踪的自动化会削弱他们的角色，甚至导致部门裁员。这种疑虑往往导致人工智慧模组利用率低下，迫使团队重新采用人工流程和基于电子表格的工作方式。此外，欧美工会和员工代表委员会也对演算法监控和「老闆软体」表示担忧，呼吁严格限制人工智慧监控工具的使用。如果没有全面的变革管理方案和技能发展计划，将人工智慧定位为“助手”​​而非“替代品”，那么由于组织文化的惯性，人工智慧的普及速度将继续放缓。为了克服这种心理障碍，供应商需要大力投资使用者友善的介面，并展现出清晰的附加价值。

新冠疫情的影响：

新冠疫情加速了人工智慧在人力资源技术领域的应用，远距办公使得传统的人力资源管理方法过时。封锁措施扰乱了面对面的面试和入职流程，迫使企业部署人工智慧驱动的视讯面试和数位文件检验工具。然而，2020年初的预算冻结暂时延缓了许多中型企业对人力资源技术的长期投资。随后的「大离职潮」导致前所未有的离职率，迫使企业紧急部署预测性离职模式和员工留任分析工具。此外，用于追踪疫苗接种状态和製定职场计画的工具也作为临时性解决方案涌现。这场疫情永久地将人力资源技术从单纯的成本中心提升为策略韧性职能。

在预测期内，软体平台细分市场预计将占据最大份额。

在预测期内，软体平台领域预计将占据最大的市场份额。这一主导地位主要源自于各规模企业对整合招募工具、绩效管理系统和劳动力分析仪錶板的迫切需求。企业正优先考虑提供模组化人工智慧功能的云端软体平台，例如履历分析、情绪分析和预测性离职模式。持续的绩效回馈和技能差距分析的兴起也进一步推动了市场需求。

在预测期内，生成式人工智慧（GenAI）细分市场预计将呈现最高的复合年增长率。

在预测期内，人力资源技术领域的生成式人工智慧（GenAI）预计将呈现最高的成长率。 GenAI能够自动创建职位发布、个人化学习内容、绩效总结和员工沟通讯息，从而显着减少人力资源工作的人工负担。针对人力资源环境量身定制的精细已调整的大规模语言模型的开发，以及增强的资料隐私管理，提高了部署的可行性。 GenAI也为智慧聊天机器人提供支持，以解答员工的复杂问题。

市占率最大的地区：

在整个预测期内，北美预计将保持最大的市场份额。这主要得益于Workday、ADP和Oracle等领先的人力资源技术供应商在该地区的布局，以及人工智慧在招募和绩效管理领域的早期应用。该地区成熟的企业软体市场为预测分析和员工敬业度平台的持续创新提供了支持。此外，竞争激烈的人才市场和高度的合规意识正在加速人工智慧的整合。高人均人力资源技术支出和蓬勃发展的Start-Ups生态系统也为其持续的市场领先地位做出了贡献。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率，这主要得益于中国、印度和东南亚国家人力资源职能的快速数位转型。跨国公司的扩张和零工经济平台的蓬勃发展，推动了对自动化招聘和入职解决方案的需求。新加坡和马来西亚政府正在投资国家人工智慧技能发展倡议，包括采用人力资源技术。随着中型企业对其传统人力资源流程进行现代化改造，基于云端的人工智慧人力资源平台的采用正在加速，使亚太地区成为全球成长最快的市场。

免费客製化服务：

所有购买此报告的客户均可享受以下免费自订选项之一：

  • 企业概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 主要参与者（最多3家公司）的SWOT分析
  • 区域划分
    • 应客户要求，我们提供主要国家和地区的市场估算和预测，以及复合年增长率（註：需进行可行性检查）。
  • 竞争性标竿分析
    • 根据产品系列、地理覆盖范围和策略联盟对主要企业进行基准分析。

目录

第一章执行摘要

  • 市场概览及主要亮点
  • 驱动因素、挑战与机会
  • 竞争格局概述
  • 战略洞察与建议

第二章：研究框架

  • 研究目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 技术与创新展望
  • 新兴市场/高成长市场
  • 监管和政策环境
  • 新冠疫情的影响及復苏前景

第四章：竞争环境与策略评估

  • 波特五力分析
    • 供应商的议价能力
    • 买方的议价能力
    • 替代品的威胁
    • 新进入者的威胁
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章：全球人力资源科技领域人工智慧市场：按组件划分

  • 软体平台
    • 招募和人才获取工具
    • 员工敬业度与情绪分析
    • 员工入职平台
    • 人员规划与分析
    • 绩效管理系统
    • 薪资福利分析
    • 学习与发展（L&D）平台
  • 服务
    • 咨询和策略服务
    • 培训和支援服务
    • 整合和配置服务
    • 託管服务

第六章：全球人力资源科技领域人工智慧市场：按技术划分

  • 机器学习（ML）
  • 预测分析
  • 自然语言处理（NLP）
  • 情绪分析
  • 深度学习
  • 电脑视觉
  • 生成式人工智慧（GenAI）
  • 其他技术

第七章：全球人力资源科技领域人工智慧市场：依部署模式划分

  • 现场
  • 基于云端的

第八章：全球人力资源科技领域人工智慧市场：依组织规模划分

  • 大公司
  • 中小企业

第九章：全球人力资源科技领域人工智慧市场：按应用划分

  • 人才招募与招募
  • 新进员工入职培训
  • 绩效管理
  • 学习与发展
  • 优化薪资福利
  • 人员规划与分析
  • 员工敬业度与体验
  • 人力资源营运和自动化

第十章：全球人力资源科技领域人工智慧市场：按最终用户划分

  • 大公司
  • 非营利组织
  • 小型企业
  • 人力资源和招聘机构
  • 政府/公共部门
  • 其他最终用户

第十一章：全球人力资源科技领域人工智慧市场：按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十二章 策略市场资讯

  • 工业价值网络和供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十三章 产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟和合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十四章：公司简介

  • Workday, Inc.
  • SAP SE
  • Oracle Corporation（HCM Cloud）
  • ADP, Inc.
  • UKG
  • LinkedIn
  • Eightfold AI
  • HireVue Inc.
  • Paradox.ai
  • Ideal
  • Pymetrics
  • Textio
  • Lattice
  • 15Five
Product Code: SMRC35028

According to Stratistics MRC, the Global AI in Human Resource Technology Market is accounted for $6.8 billion in 2026 and is expected to reach $40.0 billion by 2034 growing at a CAGR of 24.8% during the forecast period. Artificial intelligence in HR technology leverages AI tools to enhance and automate human resource functions, including talent acquisition, onboarding, performance evaluation, payroll management, and employee engagement. Through data analysis, AI identifies trends, forecasts workforce needs, and supports informed decision-making. It helps reduce recruitment biases, accelerates HR processes, boosts organizational efficiency, and provides personalized experiences for employees, ultimately fostering a more productive and strategically managed workforce.

Market Dynamics:

Driver:

Rising demand for talent analytics and workforce efficiency

AI-driven talent analytics platforms process thousands of resumes, assess cultural fit, and predict candidate success rates with unprecedented accuracy. Additionally, organizations are leveraging workforce planning tools to optimize headcount allocation and identify productivity bottlenecks in real-time. The shift toward hybrid work models has further amplified the need for digital HR tools that monitor remote employee engagement and performance without intrusive methods. As companies compete for specialized talent, AI provides a measurable return on investment by reducing time-to-hire and administrative overhead. This growing reliance on data-driven people analytics is fundamentally transforming HR departments from administrative functions to strategic business partners, thereby accelerating market adoption globally.

Restraint:

Data privacy concerns and algorithmic bias risks

Many AI models trained on historical hiring data inadvertently perpetuate existing biases related to gender, race, or age, leading to discriminatory outcomes and legal liabilities. Small and medium enterprises often lack dedicated legal teams to audit AI decision-making processes, making them hesitant to adopt fully automated systems. Furthermore, the "black box" nature of some deep learning algorithms makes it difficult for HR professionals to explain rejection decisions to candidates or internal stakeholders. Without transparent, explainable AI frameworks and regular bias audits, organizations risk reputational damage and regulatory fines, which currently limits widespread deployment across risk-averse industries.

Opportunity:

Integration of generative AI for employee self-service and content creation

GenAI-powered chatbots can handle complex employee queries regarding benefits, payroll, and leave policies in multiple languages, reducing HR ticket volumes by up to 70%. Moreover, generative models can automatically draft personalized job descriptions, onboarding materials, training modules, and performance review summaries, saving countless manual hours. For learning and development, GenAI creates adaptive course content tailored to individual skill gaps and learning preferences in real-time. As large language models become more affordable and context-aware, HR platforms can offer hyper-personalized career path recommendations and succession planning insights. Vendors that embed GenAI into their existing suites will capture significant market share by delivering tangible productivity gains and enhanced employee experiences across corporate enterprises.

Threat:

Resistance to change from traditional HR professionals

Many HR professionals fear that automation of recruitment, screening, and performance tracking will diminish their roles or lead to departmental downsizing. This skepticism often results in underutilization of purchased AI modules, with teams reverting to manual processes or spreadsheet-based workflows. Additionally, unions and employee works councils in Europe and North America have raised concerns about algorithmic surveillance and "bossware," demanding strict usage limits on AI monitoring tools. Without comprehensive change management programs and upskilling initiatives that position AI as an assistant rather than a replacement, cultural inertia will continue to slow deployment rates. Vendors must invest heavily in user-friendly interfaces and demonstrate clear augmentative value to overcome this psychological barrier.

Covid-19 Impact:

The COVID-19 pandemic acted as a forced accelerator for AI in HR technology, as remote work made traditional people management methods obsolete. Lockdowns disrupted in-person interviews and onboarding, pushing enterprises toward AI-powered video interviewing and digital document verification tools. However, budget freezes in early 2020 temporarily delayed long-term HR tech investments for many mid-sized firms. The great resignation wave that followed created unprecedented turnover, forcing organizations to adopt predictive attrition models and retention analytics urgently. Additionally, vaccine tracking and return-to-workplace planning tools emerged as temporary niche solutions. The pandemic permanently elevated HR technology from a cost center to a strategic resilience function.

The software platforms segment is expected to be the largest during the forecast period

The software platforms segment is expected to account for the largest market share during the forecast period. This dominance is driven by the critical need for integrated recruitment tools, performance management systems, and workforce analytics dashboards across all enterprise sizes. Organizations prioritize cloud-based software platforms that offer modular AI features such as resume parsing, sentiment analysis, and predictive attrition modeling. The shift toward continuous performance feedback and skill gap analysis further fuels demand.

The generative AI (GenAI) segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the generative AI segment within HR technology is predicted to witness the highest growth rate. GenAI enables automatic creation of job descriptions, personalized learning content, performance summaries, and employee communications, drastically reducing manual HR workload. The development of fine-tuned large language models specifically for HR contexts, along with improved data privacy controls, enhances adoption feasibility. GenAI also powers intelligent chatbots that handle complex employee queries.

Region with largest share:

During the forecast period, North America is expected to hold the largest market share, driven by the presence of major HR tech vendors such as Workday, ADP, and Oracle, along with early adoption of AI in recruitment and performance management. The region's mature enterprise software market supports continuous innovation in predictive analytics and employee engagement platforms. Additionally, a highly competitive talent landscape and strong compliance awareness accelerate AI integration. High HR technology spending per employee and a robust startup ecosystem contribute to sustained market leadership.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by rapid digital transformation of HR functions in China, India, and Southeast Asian countries. Expanding multinational corporate hubs and the proliferation of gig economy platforms drive demand for automated recruitment and onboarding solutions. Governments in Singapore and Malaysia are investing in national AI skilling initiatives that include HR tech adoption. As medium-sized businesses modernize legacy people processes, cloud-based AI HR platforms see accelerating uptake, positioning APAC as the fastest-growing market globally.

Key players in the market

Some of the key players in AI in Human Resource Technology Market include Workday, Inc., SAP SE, Oracle Corporation, ADP, Inc., UKG, LinkedIn, Eightfold AI, HireVue Inc., Paradox.ai, Ideal, Pymetrics, Textio, Lattice, 15Five, and Beamery.

Key Developments:

In March 2026, Oracle announced the latest updates to Oracle AI Agent Studio for Fusion Applications, a complete development platform for building, connecting, and running AI automation and agentic applications. The latest updates to Oracle AI Agent Studio include a new agentic applications builder as well as new capabilities that support workflow orchestration, content intelligence, contextual memory, and ROI measurement.

In March 2026, Eightfold AI launched a new talent intelligence platform that combines predictive analytics with public labor market data, allowing enterprises to identify skill gaps and succession risks six months in advance. The platform also includes bias detection algorithms certified by independent auditors.

Components Covered:

  • Software Platforms
  • Services

Technologies Covered:

  • Machine Learning (ML)
  • Predictive Analytics
  • Natural Language Processing (NLP)
  • Sentiment Analysis
  • Deep Learning
  • Computer Vision
  • Generative AI (GenAI)
  • Other Technologies

Deployment Modes Covered:

  • On-Premises
  • Cloud-Based

Organization Sizes Covered:

  • Large Enterprises
  • Small & Medium-Sized Enterprises (SMEs)

Applications Covered:

  • Talent Acquisition & Recruitment
  • Employee Onboarding
  • Performance Management
  • Learning & Development
  • Compensation & Benefits Optimization
  • Workforce Planning & Analytics
  • Employee Engagement & Experience
  • HR Operations & Automation

End Users Covered:

  • Corporate Enterprises
  • Non-Profit Organizations
  • Small & Medium Businesses
  • Staffing & Recruitment Agencies
  • Government & Public Sector
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI in Human Resource Technology Market, By Component

  • 5.1 Software Platforms
    • 5.1.1 Recruitment & Talent Acquisition Tools
    • 5.1.2 Employee Engagement & Sentiment Analysis
    • 5.1.3 Employee Onboarding Platforms
    • 5.1.4 Workforce Planning & Analytics
    • 5.1.5 Performance Management Systems
    • 5.1.6 Compensation & Benefits Analytics
    • 5.1.7 Learning & Development (L&D) Platforms
  • 5.2 Services
    • 5.2.1 Consulting & Strategy Services
    • 5.2.2 Training & Support Services
    • 5.2.3 Integration & Deployment Services
    • 5.2.4 Managed Services

6 Global AI in Human Resource Technology Market, By Technology

  • 6.1 Machine Learning (ML)
  • 6.2 Predictive Analytics
  • 6.3 Natural Language Processing (NLP)
  • 6.4 Sentiment Analysis
  • 6.5 Deep Learning
  • 6.6 Computer Vision
  • 6.7 Generative AI (GenAI)
  • 6.8 Other Technologies

7 Global AI in Human Resource Technology Market, By Deployment Mode

  • 7.1 On-Premises
  • 7.2 Cloud-Based

8 Global AI in Human Resource Technology Market, By Organization Size

  • 8.1 Large Enterprises
  • 8.2 Small & Medium-Sized Enterprises (SMEs)

9 Global AI in Human Resource Technology Market, By Application

  • 9.1 Talent Acquisition & Recruitment
  • 9.2 Employee Onboarding
  • 9.3 Performance Management
  • 9.4 Learning & Development
  • 9.5 Compensation & Benefits Optimization
  • 9.6 Workforce Planning & Analytics
  • 9.7 Employee Engagement & Experience
  • 9.8 HR Operations & Automation

10 Global AI in Human Resource Technology Market, By End User

  • 10.1 Corporate Enterprises
  • 10.2 Non-Profit Organizations
  • 10.3 Small & Medium Businesses
  • 10.4 Staffing & Recruitment Agencies
  • 10.5 Government & Public Sector
  • 10.6 Other End Users

11 Global AI in Human Resource Technology Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 Workday, Inc.
  • 14.2 SAP SE
  • 14.3 Oracle Corporation (HCM Cloud)
  • 14.4 ADP, Inc.
  • 14.5 UKG
  • 14.6 LinkedIn
  • 14.7 Eightfold AI
  • 14.8 HireVue Inc.
  • 14.9 Paradox.ai
  • 14.10 Ideal
  • 14.11 Pymetrics
  • 14.12 Textio
  • 14.13 Lattice
  • 14.14 15Five

List of Tables

  • Table 1 Global AI in Human Resource Technology Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI in Human Resource Technology Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global AI in Human Resource Technology Market Outlook, By Software Platforms (2023-2034) ($MN)
  • Table 4 Global AI in Human Resource Technology Market Outlook, By Recruitment & Talent Acquisition Tools (2023-2034) ($MN)
  • Table 5 Global AI in Human Resource Technology Market Outlook, By Employee Engagement & Sentiment Analysis (2023-2034) ($MN)
  • Table 6 Global AI in Human Resource Technology Market Outlook, By Employee Onboarding Platforms (2023-2034) ($MN)
  • Table 7 Global AI in Human Resource Technology Market Outlook, By Workforce Planning & Analytics (2023-2034) ($MN)
  • Table 8 Global AI in Human Resource Technology Market Outlook, By Performance Management Systems (2023-2034) ($MN)
  • Table 9 Global AI in Human Resource Technology Market Outlook, By Compensation & Benefits Analytics (2023-2034) ($MN)
  • Table 10 Global AI in Human Resource Technology Market Outlook, By Learning & Development (L&D) Platforms (2023-2034) ($MN)
  • Table 11 Global AI in Human Resource Technology Market Outlook, By Services (2023-2034) ($MN)
  • Table 12 Global AI in Human Resource Technology Market Outlook, By Consulting & Strategy Services (2023-2034) ($MN)
  • Table 13 Global AI in Human Resource Technology Market Outlook, By Training & Support Services (2023-2034) ($MN)
  • Table 14 Global AI in Human Resource Technology Market Outlook, By Integration & Deployment Services (2023-2034) ($MN)
  • Table 15 Global AI in Human Resource Technology Market Outlook, By Managed Services (2023-2034) ($MN)
  • Table 16 Global AI in Human Resource Technology Market Outlook, By Technology (2023-2034) ($MN)
  • Table 17 Global AI in Human Resource Technology Market Outlook, By Machine Learning (ML) (2023-2034) ($MN)
  • Table 18 Global AI in Human Resource Technology Market Outlook, By Predictive Analytics (2023-2034) ($MN)
  • Table 19 Global AI in Human Resource Technology Market Outlook, By Natural Language Processing (NLP) (2023-2034) ($MN)
  • Table 20 Global AI in Human Resource Technology Market Outlook, By Sentiment Analysis (2023-2034) ($MN)
  • Table 21 Global AI in Human Resource Technology Market Outlook, By Deep Learning (2023-2034) ($MN)
  • Table 22 Global AI in Human Resource Technology Market Outlook, By Computer Vision (2023-2034) ($MN)
  • Table 23 Global AI in Human Resource Technology Market Outlook, By Generative AI (GenAI) (2023-2034) ($MN)
  • Table 24 Global AI in Human Resource Technology Market Outlook, By Other Technologies (2023-2034) ($MN)
  • Table 25 Global AI in Human Resource Technology Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 26 Global AI in Human Resource Technology Market Outlook, By On-Premises (2023-2034) ($MN)
  • Table 27 Global AI in Human Resource Technology Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 28 Global AI in Human Resource Technology Market Outlook, By Organization Size (2023-2034) ($MN)
  • Table 29 Global AI in Human Resource Technology Market Outlook, By Large Enterprises (2023-2034) ($MN)
  • Table 30 Global AI in Human Resource Technology Market Outlook, By Small & Medium-Sized Enterprises (SMEs) (2023-2034) ($MN)
  • Table 31 Global AI in Human Resource Technology Market Outlook, By Application (2023-2034) ($MN)
  • Table 32 Global AI in Human Resource Technology Market Outlook, By Talent Acquisition & Recruitment (2023-2034) ($MN)
  • Table 33 Global AI in Human Resource Technology Market Outlook, By Employee Onboarding (2023-2034) ($MN)
  • Table 34 Global AI in Human Resource Technology Market Outlook, By Performance Management (2023-2034) ($MN)
  • Table 35 Global AI in Human Resource Technology Market Outlook, By Learning & Development (2023-2034) ($MN)
  • Table 36 Global AI in Human Resource Technology Market Outlook, By Compensation & Benefits Optimization (2023-2034) ($MN)
  • Table 37 Global AI in Human Resource Technology Market Outlook, By Workforce Planning & Analytics (2023-2034) ($MN)
  • Table 38 Global AI in Human Resource Technology Market Outlook, By Employee Engagement & Experience (2023-2034) ($MN)
  • Table 39 Global AI in Human Resource Technology Market Outlook, By HR Operations & Automation (2023-2034) ($MN)
  • Table 40 Global AI in Human Resource Technology Market Outlook, By End User (2023-2034) ($MN)
  • Table 41 Global AI in Human Resource Technology Market Outlook, By Corporate Enterprises (2023-2034) ($MN)
  • Table 42 Global AI in Human Resource Technology Market Outlook, By Non-Profit Organizations (2023-2034) ($MN)
  • Table 43 Global AI in Human Resource Technology Market Outlook, By Small & Medium Businesses (2023-2034) ($MN)
  • Table 44 Global AI in Human Resource Technology Market Outlook, By Staffing & Recruitment Agencies (2023-2034) ($MN)
  • Table 45 Global AI in Human Resource Technology Market Outlook, By Government & Public Sector (2023-2034) ($MN)
  • Table 46 Global AI in Human Resource Technology Market Outlook, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.