HR 워크플로우용 에이전트 AI 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the agentic AI in HR workflows market size is expected to grow from USD 3.01 billion in 2025 to USD 3.63 billion in 2026 and is forecast to reach USD 9.80 billion by 2031 at 21.97% CAGR over 2026-2031.

This report is Segmented by Component (Agentic AI Platforms and Orchestration Engines, and More), Function (Talent Acquisition and Recruiting, and More), Deployment Model (Cloud-Based, Hybrid, and On-Premises), Enterprise Size (Large Enterprises, and More), End-User Industry (Information Technology and Telecom, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Agentic AI In HR Workflows Market Trends and Insights

Rising Need For Autonomous HR Service Delivery

The productivity gap inside HR teams has become large enough that simple automation no longer solves it. Organizations still face rising case volumes, employee service expectations, and more compliance work, even when HR headcount stays tight. In the agentic AI in HR workflows market, which is pushing buyers toward systems that can take tier-1 requests from intake to resolution with less manual intervention. Autonomous service delivery also reduces the tendency to move sensitive requests into local spreadsheets or email threads when teams are overloaded. A 2026 executive survey found that 62% of C-suite leaders were dissatisfied with how people data connects to business performance, which supports demand for more governed HR workflows. That gap is helping the agentic AI in HR workflows market favor vendors that combine service automation with stronger visibility, controls, and data discipline.

Growing Demand For Skills-Based Talent Decisions

Skills-based talent decisions are moving from policy statements into day-to-day workflow design. LinkedIn's Economic Graph found that a skills-based approach expands the AI talent pipeline by 8.2 times globally for AI roles, a 34% improvement over non-AI roles. In the agentic AI in HR workflows market, this makes dynamic skills graphs and matching logic more valuable than static credential filters. When assessment results, internal mobility paths, and workforce planning signals feed the same environment, each new action improves future recommendations. This also increases demand for orchestration tools, as point solutions cannot keep skills data synchronized across recruiting, learning, and mobility tasks. A 2026 survey found that 87% of CHROs expected greater AI adoption in HR processes, up from 83% in 2025, underscoring stronger demand for systems that operationalize skills-based decisions at scale.

High Sensitivity To Hiring Bias, Privacy, And Audit Requirements

Bias, privacy, and audit requirements remain the most persistent barriers to wider adoption of agentic AI in HR workflows. The EU AI Act classifies AI used in recruitment, performance evaluation, and workforce management as high-risk under Annex III, which raises the bar for documentation, testing, and oversight. That means vendors and buyers need clear records of data quality, model behavior, human oversight, and post-deployment monitoring before scaled use. The European Commission's 2026 implementation timeline provided additional time for compliance, but it did not eliminate the need to build those controls before the deadline. Fifty-seven percent of HR professionals in U.S. states with employment AI laws were unaware of those rules, and only 12% of aware organizations had compliant policies in place. This keeps the agentic AI in HR workflows market tilted toward vendors that can show audit trails and human override paths from the start.

Other drivers and restraints analyzed in the detailed report include:

1. Rising Pressure To Reduce HR Cycle Times Without Adding Headcount
2. Fragmented HR Tech Stacks Creating Orchestration Demand
3. Legacy HRIS And Payroll Integration Complexity

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

Segment Analysis

Agentic AI Platforms and Orchestration Engines accounted for 41.71% share of the agentic AI in HR workflows market size in 2025, giving the infrastructure layer the largest commercial position. Buyers are starting here because agent registration, permissions, observability, and workflow control must be in place before application agents can run across sensitive HR processes. This sequencing also limits governance risk because enterprises can set policies for how agents access records, trigger actions, and hand off exceptions before wider automation begins. More than 1,200 customers were registering and monitoring agents in early 2026, indicating that governance-first deployment is moving into production environments. Pre-built HR AI Agents and Workflow Applications are closely followed because they offer faster time-to-value for organizations that want visible use cases without a full orchestration buildout.

Managed Agentic AI Services is projected to expand at 24.36% CAGR through 2031, the fastest pace within the component mix. The agentic AI in HR workflows market is seeing stronger demand for these services because many buyers want outside support for configuration, monitoring, retraining, and policy management over time. This is especially relevant when HR teams lack deep internal AI operations talent or sufficient technical staff to maintain complex multi-agent workflows after launch. A 2026 roadmap featuring 15 new HR focused assistants within a broader release of 200 enterprise agents shows how vendors are packaging more managed, guided capabilities instead of leaving all deployment work to clients. Professional Services still matter because workflow redesign, change management, and governance setup remain necessary before autonomous execution can scale across the agentic AI in HR workflows market.

Talent Acquisition and Recruiting Agents accounted for 26.82% of 2025 revenue, making hiring the largest functional segment in the agentic AI in HR workflows market. Recruiting remains the primary entry point because it generates high transaction volume and results are easier to measure through screening speed, interview coordination, and time-to-hire metrics. Employers also face ongoing pressure to widen candidate pools without overwhelming recruiters, which makes structured agent support attractive. The function is now moving beyond screening into interviewing and workflow execution inside large HCM environments. The integration of an AI Interviewer with a major cloud recruiting platform in May 2026 shows that autonomous skills-based interviewing is moving into mainstream enterprise recruiting stacks.

HR Operations Automation Agents is projected to grow at 27.14% CAGR through 2031, the fastest rate among functions in the agentic AI in HR workflows market. This growth comes from repetitive case handling, benefits administration, absence processing, document collection, and tier 1 query resolution, where process volumes are high, and decisions are often rules-based. These workflows also directly affect the employee experience, enabling buyers to see service improvements quickly after deployment. An AI specialist designed to resolve common HR cases through historical case retrieval and policy knowledge search aligns with this segment's commercial direction. As language models improve on unstructured requests, the agentic AI in HR workflows market is likely to push deeper into operational HR before fully autonomous decisions expand into more sensitive processes.

Complete Report Scope:

• By Component
  • Agentic AI Platforms and Orchestration Engines
  • Pre-built HR AI Agents and Workflow Applications
  • Professional Services
  • Managed Agentic AI Services
• By Function
  • Talent Acquisition and Recruiting Agents
  • Employee Lifecycle and HR Service Agents
  • Talent Development and Internal Mobility Agents
  • Workforce Planning and Intelligence Agents
  • HR Operations Automation Agents
• By Deployment Model
  • Cloud-Based
  • Hybrid
  • On-Premises
• By Enterprise Size
  • Large Enterprises
  • Small and Medium-Sized Enterprises
• By End-User Industry
  • Information Technology and Telecom
  • Healthcare and Life Sciences
  • Banking, Financial Services and Insurance
  • Retail and E-Commerce
  • Industrial Manufacturing
  • Government and Public Sector
  • Other End-user Industries
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Middle East
    • United Arab Emirates
    • Saudi Arabia
    • Turkey
    • Rest of Middle East
  • Africa
    • South Africa
    • Nigeria
    • Kenya
    • Rest of Africa

Geography Analysis

North America held 39.66% of the agentic AI market share in HR workflows in 2025, making it the largest regional market. The United States remained the main demand center because enterprise buyers, platform vendors, and integration partners are concentrated there. A 2026 survey found that 87% of CHROs expected greater AI adoption in HR processes, up from 83% in 2025, which supports continued demand momentum in the region. Large organizations set the regional pace because they can fund governance, integration, and workflow redesign simultaneously. Europe shows slower deployment cycles because the EU AI Act and local labor consultation requirements add documentation, review, and approval steps before going live.

Asia-Pacific is projected to record the fastest growth in the agentic AI in HR workflows market, with a 28.47% CAGR through 2031. Demand is rising across Southeast Asia, India, South Korea, China, Japan, and Australia as employers look for ways to manage recruiting, onboarding, and workforce planning with leaner teams. Japan stands out because corporate adoption is already broad, but several HR use cases still have room to deepen. Around 90% of surveyed member companies were using AI in some form in April 2026, while AI adoption for performance evaluation remained near 5%, leaving room for wider HR workflow deployment. National AI policy initiatives and workforce surveys show that policy development and governance planning are moving alongside adoption, which affects vendor qualification and procurement.

South America, the Middle East, and Africa held smaller shares of the agentic AI in HR workflows market in 2025, but they remain important for long-term expansion. Brazil is leading early demand in South America, while the United Arab Emirates and Saudi Arabia are serving as early rollout markets in the Middle East because workforce planning and hiring automation align with their labor policy priorities. South Africa is the clearest demand center in Africa, and Nigeria and Kenya are attracting cloud-native HR platforms that can shorten adoption timelines for mid-market employers. These regions still face budget and process standardization constraints, but they offer room for vendors that can package compliant workflows without heavy integration work in the agentic AI in HR workflows market.

1. Phenom People, Inc.
2. Eightfold AI, Inc.
3. iCIMS, Inc.
4. Paradox, Inc.
5. Beamery, Inc.
6. Gloat, Inc.
7. HireVue, Inc.
8. Findem, Inc.
9. Harver B.V.
10. Personio SE and Co. KG
11. Lattice, Inc.
12. Darwinbox Digital Solutions Private Limited
13. Moveworks, Inc.
14. Peoplebox, Inc.
15. Peoplelogic, Inc.
16. Humaans Ltd.
17. Wisq, Inc.
18. Visier, Inc.
19. AvaHR, Inc.
20. Rippling, 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 Impact of Macroeconomic Factors on the Market
• 4.3 Market Drivers
  • 4.3.1 Rising Need For Autonomous HR Service Delivery
  • 4.3.2 Growing Demand For Skills-Based Talent Decisions
  • 4.3.3 Rising Pressure To Reduce HR Cycle Times Without Adding Headcount
  • 4.3.4 Fragmented HR Tech Stacks Creating Orchestration Demand
  • 4.3.5 Expansion Of Employee Self-Service Expectations Across The Workforce
  • 4.3.6 Early Compliance By Design Advantage For Governance-Ready Vendors
• 4.4 Market Restraints
  • 4.4.1 High Sensitivity To Hiring Bias, Privacy, And Audit Requirements
  • 4.4.2 Legacy HRIS And Payroll Integration Complexity
  • 4.4.3 Human Oversight Requirements Limiting Full Autonomy In Critical Workflows
  • 4.4.4 Low Process Standardization In Mid-Market Deployments
• 4.5 Industry Value Chain Analysis
• 4.6 Regulatory Landscape
• 4.7 Technological Outlook
• 4.8 Impact of Macroeconomic Factors on the Market
• 4.9 Porter's Five Forces Analysis
  • 4.9.1 Threat Of New Entrants
  • 4.9.2 Bargaining Power Of Suppliers
  • 4.9.3 Bargaining Power Of Buyers
  • 4.9.4 Threat Of Substitutes
  • 4.9.5 Intensity of Comptetive Rivalary

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Agentic AI Platforms and Orchestration Engines
  • 5.1.2 Pre-built HR AI Agents and Workflow Applications
  • 5.1.3 Professional Services
  • 5.1.4 Managed Agentic AI Services
• 5.2 By Function
  • 5.2.1 Talent Acquisition and Recruiting Agents
  • 5.2.2 Employee Lifecycle and HR Service Agents
  • 5.2.3 Talent Development and Internal Mobility Agents
  • 5.2.4 Workforce Planning and Intelligence Agents
  • 5.2.5 HR Operations Automation Agents
• 5.3 By Deployment Model
  • 5.3.1 Cloud-Based
  • 5.3.2 Hybrid
  • 5.3.3 On-Premises
• 5.4 By Enterprise Size
  • 5.4.1 Large Enterprises
  • 5.4.2 Small and Medium-Sized Enterprises
• 5.5 By End-User Industry
  • 5.5.1 Information Technology and Telecom
  • 5.5.2 Healthcare and Life Sciences
  • 5.5.3 Banking, Financial Services and Insurance
  • 5.5.4 Retail and E-Commerce
  • 5.5.5 Industrial Manufacturing
  • 5.5.6 Government and Public Sector
  • 5.5.7 Other End-user Industries
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 United Kingdom
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Spain
    • 5.6.3.6 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 India
    • 5.6.4.3 Japan
    • 5.6.4.4 South Korea
    • 5.6.4.5 Australia
    • 5.6.4.6 Rest of Asia-Pacific
  • 5.6.5 Middle East
    • 5.6.5.1 United Arab Emirates
    • 5.6.5.2 Saudi Arabia
    • 5.6.5.3 Turkey
    • 5.6.5.4 Rest of Middle East
  • 5.6.6 Africa
    • 5.6.6.1 South Africa
    • 5.6.6.2 Nigeria
    • 5.6.6.3 Kenya
    • 5.6.6.4 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 Phenom People, Inc.
  • 6.4.2 Eightfold AI, Inc.
  • 6.4.3 iCIMS, Inc.
  • 6.4.4 Paradox, Inc.
  • 6.4.5 Beamery, Inc.
  • 6.4.6 Gloat, Inc.
  • 6.4.7 HireVue, Inc.
  • 6.4.8 Findem, Inc.
  • 6.4.9 Harver B.V.
  • 6.4.10 Personio SE and Co. KG
  • 6.4.11 Lattice, Inc.
  • 6.4.12 Darwinbox Digital Solutions Private Limited
  • 6.4.13 Moveworks, Inc.
  • 6.4.14 Peoplebox, Inc.
  • 6.4.15 Peoplelogic, Inc.
  • 6.4.16 Humaans Ltd.
  • 6.4.17 Wisq, Inc.
  • 6.4.18 Visier, Inc.
  • 6.4.19 AvaHR, Inc.
  • 6.4.20 Rippling, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment