The generative artificial intelligence (AI) in human resources (HR) market is segmented by technology into machine learning, natural language processing, deep learning, computer vision and robotic process automation. The machine learning market was the largest segment of the generative artificial intelligence (AI) in human resources (HR) market segmented by technology, accounting for 56.28% or $348.21 million of the total in 2024. Going forward, the natural language processing segment is expected to be the fastest growing segment in the generative artificial intelligence (AI) in human resources (HR) market segmented by technology, at a CAGR of 18.62% during 2024-2029.
The generative artificial intelligence (AI) in human resources (HR) market is segmented by deployment mode into cloud-based and on-premise. The cloud-based market was the largest segment of the generative artificial intelligence (AI) in human resources (HR) market segmented by deployment mode, accounting for 71.21% or $440.6 million of the total in 2024. Going forward, the cloud-based segment is expected to be the fastest growing segment in the generative artificial intelligence (AI) in human resources (HR) market segmented by deployment mode system, at a CAGR of 17.51% during 2024-2029.
The generative artificial intelligence (AI) in human resources (HR) market is segmented by application into recruiting and hiring, onboarding, performance management, improved efficiency and other applications. The recruiting and hiring market was the largest segment of the generative artificial intelligence (AI) in human resources (HR) market segmented by application, accounting for 32.34% or $200.13 million of the total in 2024. Going forward, the performance management segment is expected to be the fastest growing segment in the generative artificial intelligence (AI) in human resources (HR) market segmented by application, at a CAGR of 21.25% during 2024-2029.
North America was the largest region in the generative artificial intelligence (AI) in human resources (HR) market, accounting for 41.08% or $254.16 million of the total in 2024. It was followed by Asia Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the generative artificial intelligence (AI) in human resources (HR) market will be Asia Pacific and North America where growth will be at CAGRs of 16.84% and 16.08% respectively. These will be followed by Western Europe and South America where the markets are expected to grow at CAGRs of 14.13% and 13.92% respectively.
The top opportunities in the generative artificial intelligence (AI) in human resources (HR) markets segmented by technology will arise in the machine learning segment, which will gain $364.85 million of global annual sales by 2029. The top opportunities in the generative artificial intelligence (AI) in human resources (HR) markets segmented by deployment mode will arise in the cloud-based segment, which will gain $546.43 million of global annual sales by 2029. The top opportunities in the generative artificial intelligence (AI) in human resources (HR) markets segmented by application will arise in the recruiting and hiring segment, which will gain $199.39 million of global annual sales by 2029. The generative artificial intelligence (AI) in human resources (HR) market size will gain the most in the USA at $257.55 million.
Market-trend-based strategies for the generative artificial intelligence (AI) in human resources (HR) market include advanced innovations such as AI agents, innovative HCM platform solutions, developing advanced innovations, such as digital assistants, integration of generative AI across the entire employee lifecycle to enhance talent acquisition, advancing assisted authoring tools that enable HR professionals to quickly and accurately create personalized job descriptions and developing advanced technologies, such as proprietary artificial intelligence (AI) technology.
Player-adopted strategies in the generative artificial intelligence (AI) in human resources (HR) market include focus on expanding its operational capabilities through strategic partnerships and through new launches.
This report describes and explains the generative artificial intelligence (AI) in human resources (HR) market and covers 2019-2024, termed the historic period, and 2024-2029, 2034F termed the forecast period. The report evaluates the market across each region and for the major economies within each region.
The global generative artificial intelligence (AI) in human resources (HR) market reached a value of nearly $618.74 million in 2024, having grown at a compound annual growth rate (CAGR) of 16.26% since 2019. The market is expected to grow from $618.74 million in 2024 to $1.28 billion in 2029 at a rate of 15.71%. The market is then expected to grow at a CAGR of 15.19% from 2029 and reach $2.6 billion in 2034.
Growth in the historic period resulted from the increasing investments in AI startups, growing digital transformation initiatives, increasing demand for automation in HR processes and growing demand for time efficient solutions. Factors that negatively affected growth in the historic period were integration challenges and high initial cost of AI implementation.
Going forward, the growth of cloud computing, rising popularity of remote and hybrid work, rising adoption of AI in enterprise software and favorable government intiatives will drive the growth. Factor that could hinder the growth of the generative artificial intelligence (AI) in human resources (HR) market in the future include cybersecurity threats, regulatory challenges and impact of trade war and tariff.
To take advantage of the opportunities, the analyst recommends the generative artificial intelligence (AI) in human resources (HR) market companies to focus on deploying generative AI agents to automate and personalize HR functions, focus on enhancing platform utility through employee-centric automation, focus on advancing digital assistants for HR process optimization, focus on full-lifecycle AI integration to drive operational efficiency and employee growth, focus on scaling assisted authoring tools to streamline HR content creation, focus on developing proprietary generative AI to enhance HR functions, focus on natural language processing to maximize growth in generative AI for HR, focus on cloud-based solutions to capture maximum market growth in generative AI for HR, expand in emerging markets, focus on expanding multi-channel distribution for global reach, focus on tiered and value-based pricing to maximize adoption, focus on building trust through educational promotion, focus on targeted digital campaigns for scalable awareness and focus on performance management to maximize growth potential.
This product will be delivered within 3-5 business days.
The generative artificial intelligence (AI) in human resources (HR) market is segmented by deployment mode into cloud-based and on-premise. The cloud-based market was the largest segment of the generative artificial intelligence (AI) in human resources (HR) market segmented by deployment mode, accounting for 71.21% or $440.6 million of the total in 2024. Going forward, the cloud-based segment is expected to be the fastest growing segment in the generative artificial intelligence (AI) in human resources (HR) market segmented by deployment mode system, at a CAGR of 17.51% during 2024-2029.
The generative artificial intelligence (AI) in human resources (HR) market is segmented by application into recruiting and hiring, onboarding, performance management, improved efficiency and other applications. The recruiting and hiring market was the largest segment of the generative artificial intelligence (AI) in human resources (HR) market segmented by application, accounting for 32.34% or $200.13 million of the total in 2024. Going forward, the performance management segment is expected to be the fastest growing segment in the generative artificial intelligence (AI) in human resources (HR) market segmented by application, at a CAGR of 21.25% during 2024-2029.
North America was the largest region in the generative artificial intelligence (AI) in human resources (HR) market, accounting for 41.08% or $254.16 million of the total in 2024. It was followed by Asia Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the generative artificial intelligence (AI) in human resources (HR) market will be Asia Pacific and North America where growth will be at CAGRs of 16.84% and 16.08% respectively. These will be followed by Western Europe and South America where the markets are expected to grow at CAGRs of 14.13% and 13.92% respectively.
The top opportunities in the generative artificial intelligence (AI) in human resources (HR) markets segmented by technology will arise in the machine learning segment, which will gain $364.85 million of global annual sales by 2029. The top opportunities in the generative artificial intelligence (AI) in human resources (HR) markets segmented by deployment mode will arise in the cloud-based segment, which will gain $546.43 million of global annual sales by 2029. The top opportunities in the generative artificial intelligence (AI) in human resources (HR) markets segmented by application will arise in the recruiting and hiring segment, which will gain $199.39 million of global annual sales by 2029. The generative artificial intelligence (AI) in human resources (HR) market size will gain the most in the USA at $257.55 million.
Market-trend-based strategies for the generative artificial intelligence (AI) in human resources (HR) market include advanced innovations such as AI agents, innovative HCM platform solutions, developing advanced innovations, such as digital assistants, integration of generative AI across the entire employee lifecycle to enhance talent acquisition, advancing assisted authoring tools that enable HR professionals to quickly and accurately create personalized job descriptions and developing advanced technologies, such as proprietary artificial intelligence (AI) technology.
Player-adopted strategies in the generative artificial intelligence (AI) in human resources (HR) market include focus on expanding its operational capabilities through strategic partnerships and through new launches.
This report describes and explains the generative artificial intelligence (AI) in human resources (HR) market and covers 2019-2024, termed the historic period, and 2024-2029, 2034F termed the forecast period. The report evaluates the market across each region and for the major economies within each region.
The global generative artificial intelligence (AI) in human resources (HR) market reached a value of nearly $618.74 million in 2024, having grown at a compound annual growth rate (CAGR) of 16.26% since 2019. The market is expected to grow from $618.74 million in 2024 to $1.28 billion in 2029 at a rate of 15.71%. The market is then expected to grow at a CAGR of 15.19% from 2029 and reach $2.6 billion in 2034.
Growth in the historic period resulted from the increasing investments in AI startups, growing digital transformation initiatives, increasing demand for automation in HR processes and growing demand for time efficient solutions. Factors that negatively affected growth in the historic period were integration challenges and high initial cost of AI implementation.
Going forward, the growth of cloud computing, rising popularity of remote and hybrid work, rising adoption of AI in enterprise software and favorable government intiatives will drive the growth. Factor that could hinder the growth of the generative artificial intelligence (AI) in human resources (HR) market in the future include cybersecurity threats, regulatory challenges and impact of trade war and tariff.
To take advantage of the opportunities, the analyst recommends the generative artificial intelligence (AI) in human resources (HR) market companies to focus on deploying generative AI agents to automate and personalize HR functions, focus on enhancing platform utility through employee-centric automation, focus on advancing digital assistants for HR process optimization, focus on full-lifecycle AI integration to drive operational efficiency and employee growth, focus on scaling assisted authoring tools to streamline HR content creation, focus on developing proprietary generative AI to enhance HR functions, focus on natural language processing to maximize growth in generative AI for HR, focus on cloud-based solutions to capture maximum market growth in generative AI for HR, expand in emerging markets, focus on expanding multi-channel distribution for global reach, focus on tiered and value-based pricing to maximize adoption, focus on building trust through educational promotion, focus on targeted digital campaigns for scalable awareness and focus on performance management to maximize growth potential.
This product will be delivered within 3-5 business days.
Table of Contents
1 Executive Summary
6 Market Characteristics
7 Major Market Trends
8 Global Generative Artificial Intelligence (AI) In Human Resources (HR) Growth Analysis And Strategic Analysis Framework
9 Global Generative Artificial Intelligence (AI) In Human Resources (HR) Market Segmentation
10 Generative Artificial Intelligence (AI) In Human Resources (HR) Market, Regional and Country Analysis
11 Asia-Pacific Market
12 Western Europe Market
13 Eastern Europe Market
14 North America Market
15 South America Market
16 Middle East Market
17 Africa Market
18 Competitive Landscape And Company Profiles
19 Other Major And Innovative Companies
22 Key Mergers And Acquisitions
23 Recent Developments In Generative Artificial Intelligence (AI) In Human Resources (HR)
24 Opportunities And Strategies
25 Generative AI In HR Market, Conclusions And Recommendations
26 Appendix
Executive Summary
Generative Artificial Intelligence (AI) In Human Resources (HR) Global Market Opportunities And Strategies To 2034 provides the strategists; marketers and senior management with the critical information they need to assess the global generative artificial intelligence (AI) in human resources (HR) market as it emerges from the COVID-19 shut down.Reasons to Purchase:
- Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
- Understand how the market is being affected by the coronavirus and how it is likely to emerge and grow as the impact of the virus abates.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on the latest market research findings.
- Benchmark performance against key competitors.
- Utilize the relationships between key data sets for superior strategizing.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis.
Description
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 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 history and forecasts market growth by geography. It places the market within the context of the wider generative artificial intelligence (AI) in human resources (HR) market; and compares it with other markets.
The report covers the following chapters
- Introduction And Market Characteristics- Brief introduction to the segmentations covered in the market, definitions and explanations about the segment by technology, by deployment mode and by application.
- Key Trends- Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
- Growth Analysis And Strategic Analysis Framework- Analysis on PESTEL, end use industries, market growth rate, global historic (2019-2024) and forecast (2024-2029, 2034F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods, forecast growth contributors and total addressable market (TAM).
- Global Market Size And Growth- Global historic (2019-2024) and forecast (2024-2029, 2034F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods.
- Regional And Country Analysis- Historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison by region and country.
- Market Segmentation- Contains the market values (2019-2024) (2024-2029, 2034F) and analysis for each segment by technology, by deployment mode and by application in the market. Historic (2019-2024) and forecast (2024-2029) and (2029-2034) market values and growth and market share comparison by region market.
- Regional Market Size And Growth- Regional market size (2024), historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape- Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Other Major And Innovative Companies- Details on the company profiles of other major and innovative companies in the market.
- Competitive Benchmarking- Briefs on the financials comparison between major players in the market.
- Competitive Dashboard- Briefs on competitive dashboard of major players.
- Key Mergers And Acquisitions- Information on recent mergers and acquisitions in the market covered in the report.This section gives key financial details of mergers and acquisitions, which have shaped the market in recent years.
- Recent Developments- Information on recent developments in the market covered in the report.
- Market Opportunities And Strategies- Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions And Recommendations- This section includes recommendations for generative artificial intelligence (AI) in human resources (HR) providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
- Appendix- This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
Markets Covered:
1) By Technology: Machine Learning; Natural Language Processing; Deep Learning; Computer Vision; Robotic Process Automation2) By Deployment Mode: Cloud-Based; On-Premise
3) By Application: Recruiting And Hiring; Onboarding; Performance Management; Improved Efficiency; Other Applications
Key Companies Profiled: Workday Inc.; Oracle Corporation; SAP SE; IBM Corporation; Phenom People Inc.
Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Canada; Brazil; France; Germany; UK; Italy; Spain; Russia
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; generative artificial intelligence (AI) in human resources (HR) indicators comparison.
Data Segmentation: 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.
Companies Mentioned
- Workday Inc.
- Oracle Corporation
- SAP SE
- IBM Corporation
- Phenom People Inc.
- Automatic Data Processing Inc. (ADP)
- Ceridian HCM Holding Inc. (Dayforce Inc.)
- Cegid Group
- Microsoft Corporation
- iCIMS Inc.
- SmartRecruiters
- Simpplr
- Intandem Solutions Ltd.
- Hirebee.ai
- ClockOn Pty Ltd.
- Asiabase Technologies Limited
- Zoho Corporation Pvt. Ltd
- Ultimate Kronos Group (UKG)
- Lathem
- OneAdvanced
- elementTIME
- BrioHR
- PeopleStrong
- ExaWizards Inc
- Manus
- Rakuten Group, Inc.
- Pipefy
- Xiao-i Corporation
- Kanzhun Limited
- LeapIn
- Zhipu AI
- iFlytek
- HROne
- Works Applications Co., Ltd
- NTT DATA Group Corporation
- Cegid Group SA
- JobTeaser
- Phenom People Inc
- Beamery
- HireVue
- Harver B.V.
- Civica Group Limited
- ATOSS Software SE
- isolved HCM
- Sage Group
- clevergig
- Visma
- Interflex
- Starmind
- Effixis SA
- Workable Technology Limited
- IRIS Software Group Limited
- Cezanne HR Limited
- Google LLC
- Deloitte Touche Tohmatsu Limited
- ZKTeco
- SD Worx
- ADP Polska Sp. z o.o.
- Talent Alpha
- Emplocity
- UiPath
- SmartDreamers
- Happy Recruiter
- Huntflow
- Borderless AI
- ZipRecruiter, Inc.
- Eightfold AI Inc.
- Paradox Inc.
- Leena AI Inc.
- ServiceNow Inc.
- Moonhub Inc.
- SkyHive Technologies Inc.
- WorkTango Inc.
- Visier Inc.
- Senior Sistemas
- Waverley Software
- Torre.ai
- Gupy
- Levee
- Flash
- Diio
- Conversica
- Hunty
- HiBob Ltd.
- Humain
- Lucidya
- Bayzat
- Zimyo
- Automatic Data Processing Inc
- GoodTalent
- SupportFinity
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 372 |
| Published | September 2025 |
| Forecast Period | 2024 - 2034 |
| Estimated Market Value ( USD | $ 618.7 Million |
| Forecasted Market Value ( USD | $ 2600 Million |
| Compound Annual Growth Rate | 15.4% |
| Regions Covered | Global |
| No. of Companies Mentioned | 91 |
