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市場調查報告書
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2021735

人工智慧市場預測（至2034年）：人力資源技術領域的全球分析（按組件、技術、部署模式、組織規模、應用、最終用戶和地區分類）

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個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球人力資源技術領域的 AI 市場規模將達到 68 億美元，在預測期內將以 24.8% 的複合年成長率成長，到 2034 年將達到 400 億美元。

人力資源技術領域的人工智慧利用人工智慧工具來增強和自動化人力資源職能，例如人才招聘、入職、績效評估、薪酬管理和員工敬業度提升。透過數據分析，人工智慧可以識別趨勢、預測人才需求並支援明智的決策。這有助於減少招募中的偏見、加快人力資源流程、提高組織效率並提供個人化的員工體驗，最終打造更有效率、更具策略性管理的員工隊伍。

對人才分析和勞動效率的需求日益成長

人工智慧驅動的人才分析平台能夠處理數千份履歷，評估候選人與企業文化的契合度，並以前所未有的精準度預測其成功率。此外，企業正在利用人力資源規劃工具來最佳化人員配置，並即時識別生產力瓶頸。向混合辦公模式的轉變進一步提升了對數位化人力資源工具的需求，這些工具能夠在不干擾員工的情況下監控遠距員工的敬業度和績效。隨著企業競相爭奪專業人才，人工智慧透過縮短招募週期和降低管理成本，帶來了可衡量的投資回報。隨著對資料驅動型人才分析的依賴性不斷增強，人力資源部門正從行政職能部門轉型為策略性業務夥伴，並在全球市場加速普及應用。

資料隱私問題和演算法偏見風險

許多基於過往招募資料訓練的人工智慧模型可能會無意中延續現有的性別、種族和年齡偏見，導致歧視性結果和法律責任。中小企業通常缺乏專門的法律團隊來審查人工智慧的決策流程，因此對實施全自動系統持謹慎態度。此外，一些深度學習演算法的「黑箱」特性使得人力資源負責人難以向候選人和內部相關人員解釋拒絕決定。如果沒有透明且可解釋的人工智慧框架和定期的偏見審核，企業將面臨聲譽受損和監管機構罰款的風險，目前限制了人工智慧在風險規避型行業的廣泛應用。

將生成式人工智慧整合到員工自助服務和內容創作中。

由生成式人工智慧驅動的聊天機器人能夠以多種語言處理員工關於福利、薪資和休假政策的複雜諮詢，從而將人力資源部門的諮詢量減少高達 70%。此外，生成式模型還能自動建立個人化的職位說明、入職資料、訓練模組和績效評估總結，節省大量人工時間。在學習與發展領域，生成式人工智慧能夠即時創建自適應課程內容，並根據個人技能差距和學習偏好進行客製化。隨著大規模語言模式變得更加經濟實惠且更具情境感知能力，人力資源平台將能夠提供高度個人化的職涯發展路徑提案和繼任計畫洞察。將生成式人工智慧整合到現有套件中的供應商將透過為企業帶來實際的生產力提升和更佳的員工體驗，獲得顯著的市場佔有率。

傳統人力資源負責人對改變的抵制

許多人力資源負責人擔心，招募、甄選和績效追蹤的自動化會削弱他們的角色，甚至導致部門裁員。這種疑慮往往導致人工智慧模組利用率低下，迫使團隊重新採用人工流程和基於電子表格的工作方式。此外，歐美工會和員工代表委員會也對演算法監控和「老闆軟體」表示擔憂，呼籲嚴格限制人工智慧監控工具的使用。如果沒有全面的變革管理方案和技能發展計劃，將人工智慧定位為“助手”​​而非“替代品”，那麼由於組織文化的慣性，人工智慧的普及速度將繼續放緩。為了克服這種心理障礙，供應商需要大力投資使用者友善的介面，並展現出清晰的附加價值。

新冠疫情的影響：

新冠疫情加速了人工智慧在人力資源技術領域的應用，遠距辦公使得傳統的人力資源管理方法過時。封鎖措施擾亂了面對面的面試和入職流程，迫使企業部署人工智慧驅動的視訊面試和數位文件檢驗工具。然而，2020年初的預算凍結暫時延緩了許多中型企業對人力資源技術的長期投資。隨後的「大離職潮」導致前所未有的離職率，迫使企業緊急部署預測性離職模式和員工留任分析工具。此外，用於追蹤疫苗接種狀態和製定職場計畫的工具也作為臨時性解決方案湧現。這場疫情永久地將人力資源技術從單純的成本中心提升為策略韌性職能。

在預測期內，軟體平台細分市場預計將佔據最大佔有率。

在預測期內，軟體平台領域預計將佔據最大的市場佔有率。這一主導地位主要源自於各規模企業對整合招募工具、績效管理系統和勞動力分析儀錶板的迫切需求。企業正優先考慮提供模組化人工智慧功能的雲端軟體平台，例如履歷分析、情緒分析和預測性離職模式。持續的績效回饋和技能差距分析的興起也進一步推動了市場需求。

在預測期內，生成式人工智慧（GenAI）細分市場預計將呈現最高的複合年成長率。

在預測期內，人力資源技術領域的生成式人工智慧（GenAI）預計將呈現最高的成長率。 GenAI能夠自動創建職位發布、個人化學習內容、績效總結和員工溝通訊息，從而顯著減少人力資源工作的人工負擔。針對人力資源環境量身定做的精細已調整的大規模語言模型的開發，以及增強的資料隱私管理，提高了部署的可行性。 GenAI也為智慧聊天機器人提供支持，以解答員工的複雜問題。

市佔率最大的地區：

在整個預測期內，北美預計將保持最大的市場佔有率。這主要得益於Workday、ADP和Oracle等領先的人力資源技術供應商在該地區的佈局，以及人工智慧在招募和績效管理領域的早期應用。該地區成熟的企業軟體市場為預測分析和員工敬業度平台的持續創新提供了支持。此外，競爭激烈的人才市場和高度的合規意識正在加速人工智慧的整合。高人均人力資源技術支出和蓬勃發展的Start-Ups生態系統也為其持續的市場領先地位做出了貢獻。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於中國、印度和東南亞國家人力資源職能的快速數位轉型。跨國公司的擴張和零工經濟平台的蓬勃發展，推動了對自動化招聘和入職解決方案的需求。新加坡和馬來西亞政府正在投資國家人工智慧技能發展舉措，包括採用人力資源技術。隨著中型企業對其傳統人力資源流程進行現代化改造，基於雲端的人工智慧人力資源平台的採用正在加速，使亞太地區成為全球成長最快的市場。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 主要參與者（最多3家公司）的SWOT分析
  • 區域分類
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章：全球人力資源科技領域人工智慧市場：按組件分類

  • 軟體平台
    • 招募和人才獲取工具
    • 員工敬業度與情緒分析
    • 員工入職平台
    • 人員規劃與分析
    • 績效管理系統
    • 薪資福利分析
    • 學習與發展（L&D）平台
  • 服務
    • 諮詢和策略服務
    • 培訓和支援服務
    • 整合和配置服務
    • 託管服務

第6章：全球人力資源科技領域人工智慧市場：按技術分類

  • 機器學習（ML）
  • 預測分析
  • 自然語言處理（NLP）
  • 情緒分析
  • 深度學習
  • 電腦視覺
  • 生成式人工智慧（GenAI）
  • 其他技術

第7章：全球人力資源科技領域人工智慧市場：依部署模式分類

  • 現場
  • 基於雲端的

第8章：全球人力資源科技領域人工智慧市場：依組織規模分類

  • 大公司
  • 中小企業

第9章：全球人力資源科技領域人工智慧市場：按應用分類

  • 人才招募與招募
  • 新進員工入職培訓
  • 績效管理
  • 學習與發展
  • 最佳化薪資福利
  • 人員規劃與分析
  • 員工敬業度與體驗
  • 人力資源營運和自動化

第10章：全球人力資源科技領域人工智慧市場：按最終用戶分類

  • 大公司
  • 非營利組織
  • 小型企業
  • 人力資源和招聘機構
  • 政府/公共部門
  • 其他最終用戶

第11章：全球人力資源科技領域人工智慧市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • 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.