인사 분야 생성형 AI 시장 : 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the generative AI in HR market size is expected to increase from USD 2.23 billion in 2025 to USD 2.75 billion in 2026 and reach USD 7.97 billion by 2031, growing at a CAGR of 23.67% over 2026-2031.

This report is Segmented by Deployment Model (Cloud, On-Premises, and Hybrid), HR Function (Recruitment and Talent Acquisition, Learning and Development, Employee Engagement and Experience, Performance Management, and More), Organization Size (Large Enterprises, and More), End-Use Industry (IT and Telecom, BFSI, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Generative AI In HR Market Trends and Insights

Rapid Advancement of Large Language Models in Enterprise SaaS

Domain-tuned foundation models are overtaking generic chatbots as employers require explainability, auditability and domain-specific accuracy. Workday Illuminate ingests more than 800 billion business transactions to automate job description creation, talent summarization and succession planning, while preserving process context across HR and finance environments. Microsoft joined forces with IBM in February 2026 to pair watsonx governance controls with the Copilot collaboration layer, enabling confidential deployment of HR agents for benefits queries and onboarding without exposing personal data to public training loops. Specialist vendors such as Wisq are launching proprietary HR language models that embed bias checks aligned to EEOC and GDPR frameworks, closing the gap between model capability and regulatory expectation. As these models mature, the generative AI in HR market gains credibility among risk-averse sectors that previously limited pilots to low-stakes tasks.

Rising Pressure to Automate High-Volume Talent Acquisition Tasks

Frontline and hourly hiring remains largely undigitized even though it represents a majority of global headcount. ICIMS Frontline AI now engages applicants around the clock across SMS, WhatsApp and web chat, reducing time-to-fill by up to 75% and allowing tenfold more hires per recruiter.Paradox's Olivia assistant schedules interviews and conducts pre-screens at scale, while Eightfold AI's structured video interviewer compresses documentation time by 90% to satisfy emerging audit mandates under NYC Local Law 144. These efficiency gains fuel employer willingness to invest, propelling the generative AI in HR market into core hiring workflows once dominated by manual labor.

Data Privacy and Bias Concerns in Workforce-Related AI Models

Algorithmic bias, privacy lapses and opaque decision logic expose employers to hefty penalties. The EU AI Act imposes fines of up to EUR 35 million (USD 39.6 million) or 7% of global turnover for deploying prohibited systems, yet only 18% of organizations feel very prepared for the August 2026 deadline. NYC Local Law 144 already requires bias audits for automated hiring tools, forcing vendors to publish audit results and notify candidates, while ISO 42001 offers an optional governance blueprint. Compliance complexity is delaying high-risk use cases in the generative AI in HR market, particularly performance evaluation and promotion selection.

Other drivers and restraints analyzed in the detailed report include:

1. Growing Adoption of Conversational AI for Employee Self-Service
2. Mainstreaming of Skills-Based Workforce Planning Frameworks
3. Limited Availability of HR-Specific High-Quality Training Data

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Hybrid deployments are forecast to expand at a 26.77% CAGR as employers seek the agility of cloud inference paired with on-premises control of personal data. Cloud services nonetheless retained 64.29% of the 2025 generative AI in HR market share because subscription pricing, rapid release cycles and vendor-managed security appeal to mid-market buyers. Multinationals operating under strict localization mandates in China or the Middle East now pilot sovereign-cloud regions and confidential-computing enclaves to avoid repatriation risk, keeping sensitive records on-premises while sending de-identified metadata to cloud engines. Major hyperscalers have responded with dedicated HR connectors for Workday, SAP SuccessFactors and Oracle HCM that let customers unlock generative features without moving core data. This coexistence model preserves existing audit controls yet accelerates the generative AI in HR market penetration among compliance-heavy industries.

On-premises installations persist in defense, intelligence and critical-infrastructure environments, but their overall share continues to slide as vendors document equivalence between sovereign-cloud certifications and traditional air-gaps. ADP's global payroll integration with SAP exemplifies the shift: firms can now orchestrate payroll anomaly detection, reporting and employee self-service across 140 countries without uprooting incumbent HR stacks.Such API-first extensions lower migration risk and reinforce hybrid as the default operating model within the generative AI in HR market.

HR analytics and workforce planning is projected to grow at the fastest 25.85% CAGR, signaling a pivot from transactional hiring metrics toward predictive skills forecasting, scenario modeling and organizational design. Recruitment still commanded 28.45% of the 2025 generative AI in HR market size, but feature parity in chatbots and scheduling tools is pushing buyers to look further downstream for incremental value. Platforms such as Workday Illuminate generate onboarding bottleneck reports, succession shortlists and compensation insights by ingesting enterprise-specific process data. Meanwhile learning systems leverage generative engines to produce customized micro-lessons, reducing spend on external content libraries.

Employee engagement suites embed sentiment analysis and AI-generated action plans so managers can respond to burnout signals in real time, raising stickiness of the generative AI in HR market within human capital strategies. Performance management remains a cautious frontier due to liability worries, but explainable AI dashboards and human-in-the-loop approvals are gradually winning executive sponsorship.

Complete Report Scope:

• By Deployment Model
  • Cloud
  • On-premises
  • Hybrid
• By HR Function
  • Recruitment and Talent Acquisition
  • Learning and Development
  • Employee Engagement and Experience
  • Performance Management
  • HR Analytics and Workforce Planning
  • Other HR Functions
• By Organization Size
  • Large Enterprises
  • Small and Medium Enterprises
• By End-use Industry
  • IT and Telecom
  • BFSI
  • Healthcare and Life Sciences
  • Manufacturing
  • Retail and E-commerce
  • Other End-use Industries
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Middle East
    • Saudi Arabia
    • United Arab Emirates
    • Turkey
    • Rest of Middle East
  • Africa
    • South Africa
    • Nigeria
    • Egypt
    • Rest of Africa

Geography Analysis

North America maintained 35.27% share of the generative AI in HR market in 2025, buoyed by venture capital depth, concentration of HR tech vendors and a historically permissive regulatory climate. Rising patchwork rules, California CCPA, New York Local Law 144 and forthcoming federal guidelines, are shifting selection criteria toward platforms with turnkey compliance dashboards. Employers operating on both sides of the Atlantic now rate regulatory agility as high as feature scope, giving advantage to vendors with embedded audit reporting.

Asia-Pacific is anticipated to post the fastest 26.20% CAGR through 2031. China's national AI strategy mandates large-scale reskilling and workforce analytics, driving adoption of Mandarin-trained models that can scale across state-owned enterprises. India's IT services giants use generative agents to automate offshore recruitment workflows, cut attrition and personalize learning paths, while Japan pilots AI-driven succession planning to hedge against population aging. Australia and New Zealand model EU-style transparency rules, turning the region into a sandbox where vendors prove compliance readiness before European rollouts.

Europe, the Middle East and Africa display uneven momentum. European employers face procedural complexity under the EU AI Act, mandatory works-council consultation and conformity assessments lengthen buying cycles, temporarily tempering the generative AI in HR market expansion. Littler's 2025 survey revealed only 18% readiness for the August 2026 deadline, spotlighting a short-term bottleneck.The Middle East channels sovereign wealth into AI workforce nationalization programs, particularly in the UAE and Saudi Arabia, while African demand centers on mobile-first chatbots optimised for low bandwidth. South America, led by Brazil and Argentina, applies conversational AI to high-volume retail and agriculture hiring, though macroeconomic volatility still limits multi-year transformation budgets.

1. ADP, Inc.
2. Workday, Inc.
3. Oracle Corporation
4. SAP SE
5. International Business Machines Corporation
6. Microsoft Corporation
7. Google LLC
8. Eightfold AI, Inc.
9. Phenom People, Inc.
10. Paradox.ai, Inc.
11. Beamery Ltd.
12. HireVue, Inc.
13. iCIMS, Inc.
14. Greenhouse Software, Inc.
15. Lever, Inc.
16. Textio, Inc.
17. Gloat, Inc.
18. Retrain.ai Ltd.
19. SeekOut Inc.
20. Lattice, Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Rapid Advancement of Large Language Models in Enterprise SaaS
  • 4.2.2 Rising Pressure to Automate High-Volume Talent Acquisition Tasks
  • 4.2.3 Growing Adoption of Conversational AI for Employee Self-Service
  • 4.2.4 Mainstreaming of Skills-Based Workforce Planning Frameworks
  • 4.2.5 Integration of GenAI with Low-Code HR Tech Stacks
  • 4.2.6 Increasing Employer Demand for Hyper-Personalized Learning Content
• 4.3 Market Restraints
  • 4.3.1 Data Privacy and Bias Concerns in Workforce-Related AI Models
  • 4.3.2 Limited Availability of HR-Specific High-Quality Training Data
  • 4.3.3 Rising Total Cost of Ownership for GenAI Model Fine-Tuning
  • 4.3.4 Uncertain Intellectual Property Rights Around AI-Generated Content
• 4.4 Industry Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Suppliers
  • 4.7.2 Bargaining Power of Buyers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitute Products or Services
  • 4.7.5 Competitive Rivalry
• 4.8 Impact of Macroeconomic Factors on the Market

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Deployment Model
  • 5.1.1 Cloud
  • 5.1.2 On-premises
  • 5.1.3 Hybrid
• 5.2 By HR Function
  • 5.2.1 Recruitment and Talent Acquisition
  • 5.2.2 Learning and Development
  • 5.2.3 Employee Engagement and Experience
  • 5.2.4 Performance Management
  • 5.2.5 HR Analytics and Workforce Planning
  • 5.2.6 Other HR Functions
• 5.3 By Organization Size
  • 5.3.1 Large Enterprises
  • 5.3.2 Small and Medium Enterprises
• 5.4 By End-use Industry
  • 5.4.1 IT and Telecom
  • 5.4.2 BFSI
  • 5.4.3 Healthcare and Life Sciences
  • 5.4.4 Manufacturing
  • 5.4.5 Retail and E-commerce
  • 5.4.6 Other End-use Industries
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Rest of South America
  • 5.5.3 Europe
    • 5.5.3.1 Germany
    • 5.5.3.2 United Kingdom
    • 5.5.3.3 France
    • 5.5.3.4 Italy
    • 5.5.3.5 Spain
    • 5.5.3.6 Russia
    • 5.5.3.7 Rest of Europe
  • 5.5.4 Asia-Pacific
    • 5.5.4.1 China
    • 5.5.4.2 Japan
    • 5.5.4.3 India
    • 5.5.4.4 South Korea
    • 5.5.4.5 Australia
    • 5.5.4.6 Rest of Asia-Pacific
  • 5.5.5 Middle East
    • 5.5.5.1 Saudi Arabia
    • 5.5.5.2 United Arab Emirates
    • 5.5.5.3 Turkey
    • 5.5.5.4 Rest of Middle East
  • 5.5.6 Africa
    • 5.5.6.1 South Africa
    • 5.5.6.2 Nigeria
    • 5.5.6.3 Egypt
    • 5.5.6.4 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 ADP, Inc.
  • 6.4.2 Workday, Inc.
  • 6.4.3 Oracle Corporation
  • 6.4.4 SAP SE
  • 6.4.5 International Business Machines Corporation
  • 6.4.6 Microsoft Corporation
  • 6.4.7 Google LLC
  • 6.4.8 Eightfold AI, Inc.
  • 6.4.9 Phenom People, Inc.
  • 6.4.10 Paradox.ai, Inc.
  • 6.4.11 Beamery Ltd.
  • 6.4.12 HireVue, Inc.
  • 6.4.13 iCIMS, Inc.
  • 6.4.14 Greenhouse Software, Inc.
  • 6.4.15 Lever, Inc.
  • 6.4.16 Textio, Inc.
  • 6.4.17 Gloat, Inc.
  • 6.4.18 Retrain.ai Ltd.
  • 6.4.19 SeekOut Inc.
  • 6.4.20 Lattice, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-need Assessment