This Generative Artificial Intelligence (AI) in Human Resources (HR) market report provides a comprehensive analysis of the market’s characteristics, size, and growth, including segmentation, regional and country-level breakdowns, competitive landscape, market shares, trends, and strategies. It also tracks historical and forecasted market growth across various geographies.
The generative artificial intelligence (AI) in human resources (hr) market size has grown rapidly in recent years. It will grow from $0.63 billion in 2024 to $0.75 billion in 2025 at a compound annual growth rate (CAGR) of 18.3%. The growth in the historic period can be attributed to the rise of data-driven decision-making, demand for personalized employee experiences, evolution of recruitment processes, emergence of advanced analytics tools, the growing importance of diversity and inclusion initiatives, and shift towards remote and hybrid work environments.
The generative artificial intelligence (AI) in human resources (hr) market size is expected to see rapid growth in the next few years. It will grow to $1.45 billion in 2029 at a compound annual growth rate (CAGR) of 17.9%. The growth in the forecast period can be attributed to the growth of AI technology adoption, increasing complexity of workforce management, demand for enhanced employee engagement strategies, necessity for real-time performance feedback mechanisms, focus on continuous learning and development, expansion of AI capabilities in predictive analytics, integration of AI with existing HR systems to streamline operations. Major trends in the forecast period include increasing adoption of AI-powered chatbots and virtual assistants, growing use of machine learning algorithms for talent management and workforce planning, rising demand for personalized employee experiences through AI-generated content, expanding application of AI in recruiting and hiring processes, integration of AI with existing HR systems for enhanced efficiency, increasing focus on AI-driven performance management and employee development, anticipated growth of the cloud-based deployment of generative AI solutions in HR.
The growing demand for automation is expected to significantly drive the expansion of generative artificial intelligence (AI) within the human resources (HR) market. Automation, which involves executing tasks with minimal human input to boost efficiency and productivity, is increasingly sought after for its ability to replace manual efforts with automated systems. This rising demand for automation is largely fueled by the need for greater efficiency, cost reductions, and improved accuracy. Generative AI in HR supports this shift by automating repetitive tasks such as candidate screening, job description creation, and performance evaluations. This technology not only improves HR efficiency and reduces manual workloads but also allows HR professionals to concentrate on more strategic roles. For example, a study conducted by the Department for Digital, Culture, Media & Sport (DCMS) and Capital Economics in January 2022 projected a significant increase in AI adoption from 15.1% in 2020 to 22.7% by 2025. This indicates that an additional 267,000 businesses will integrate AI into their operations. Furthermore, by 2040, approximately 34.8% of businesses are expected to adopt AI, equating to around 1.3 million companies utilizing the technology. Thus, the surge in automation is a key driver for the growth of generative AI in HR.
Key players in the generative AI in HR market are advancing their proprietary AI technologies to improve recruitment processes, enhance candidate sourcing, boost employee engagement, automate routine HR tasks, and offer data-driven insights for better workforce management. Proprietary AI technology refers to artificial intelligence systems and algorithms that are uniquely developed and owned by a company or individual, protected by intellectual property rights such as patents, copyrights, or trade secrets. For instance, in March 2023, Beamery, a UK-based talent engagement and recruitment software company, introduced TalentGPT, the world’s first generative AI for HR technology. TalentGPT utilizes Beamery’s proprietary AI alongside advanced large language models such as OpenAI’s GPT-4 to offer highly personalized HR solutions. This innovation allows for real-time customization of content, job descriptions, email templates, and career recommendations to align with the specific needs of organizations and employees, aiming to transform HR practices.
In April 2024, Apax Funds, a UK-based private equity firm, acquired Zellis Group for an undisclosed sum. Apax plans to utilize Zellis’s robust product offerings and established customer relationships to drive future success. With previous investments in the sector, such as Paycor, Apax’s expertise is expected to enhance Zellis’s technology and market approach, strengthening its position. Zellis Group, a UK-based provider of HR and payroll solutions, offers a range of services including generative AI-powered solutions such as a chat interface.
Major companies operating in the generative artificial intelligence (AI) in human resources (HR) market are International Business Machines Corp., Oracle Corporation, SAP SE, Automatic Data Processing Inc, Workday Inc., Cegid Group S.A., Cornerstone OnDemand Inc, Phenom People Inc, Jobvite Inc, Harver B.V., Eightfold AI Inc., Beamery Inc., Paradox Inc., Workable Technology Limited, ClearCompany Inc., Aisera Inc., Gloat Inc, JobAdder Operations Pty Ltd, SeekOut, TEXTIO INC., TalentGuard Inc., Cezanne HR Limited, Pymetrics Inc.
North America was the largest region in the generative artificial intelligence (AI) in human resources (HR) market in 2023. Asia Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in human resources (HR) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative artificial intelligence (AI) in human resources (HR) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Generative artificial intelligence (AI) in human resources (HR) involves using AI models to create new content, such as text, images, or audio, to support various HR tasks and processes. These AI models, trained on large datasets, can generate novel outputs that resemble the data they were trained on.
The main technologies of generative AI in HR include machine learning, natural language processing, deep learning, computer vision, and robotic process automation. Machine learning (ML) in HR enables AI systems to learn from data and improve over time without explicit programming. Deployment options include cloud-based and on-premise solutions, used for applications such as recruiting and hiring, onboarding, performance management, and overall efficiency improvements.
The generative artificial intelligence (AI) in human resources (HR) market research report is one of a series of new reports that provides generative artificial intelligence (AI) in human resources (HR) market statistics, including generative artificial intelligence (AI) in human resources (HR) industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in human resources (HR) market share, detailed generative artificial intelligence (AI) in human resources (HR) market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in human resources (HR) industry. This generative artificial intelligence (AI) in human resources (HR) market research report delivers a complete perspective on everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The generative artificial intelligence (AI) in the human resources (HR) market includes revenues earned by entities by providing services such as predictive analytics, AI-driven recruitment solutions and related talent management and development, human resources (HR) system integration, and administrative automation. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
The generative artificial intelligence (AI) in human resources (hr) market size has grown rapidly in recent years. It will grow from $0.63 billion in 2024 to $0.75 billion in 2025 at a compound annual growth rate (CAGR) of 18.3%. The growth in the historic period can be attributed to the rise of data-driven decision-making, demand for personalized employee experiences, evolution of recruitment processes, emergence of advanced analytics tools, the growing importance of diversity and inclusion initiatives, and shift towards remote and hybrid work environments.
The generative artificial intelligence (AI) in human resources (hr) market size is expected to see rapid growth in the next few years. It will grow to $1.45 billion in 2029 at a compound annual growth rate (CAGR) of 17.9%. The growth in the forecast period can be attributed to the growth of AI technology adoption, increasing complexity of workforce management, demand for enhanced employee engagement strategies, necessity for real-time performance feedback mechanisms, focus on continuous learning and development, expansion of AI capabilities in predictive analytics, integration of AI with existing HR systems to streamline operations. Major trends in the forecast period include increasing adoption of AI-powered chatbots and virtual assistants, growing use of machine learning algorithms for talent management and workforce planning, rising demand for personalized employee experiences through AI-generated content, expanding application of AI in recruiting and hiring processes, integration of AI with existing HR systems for enhanced efficiency, increasing focus on AI-driven performance management and employee development, anticipated growth of the cloud-based deployment of generative AI solutions in HR.
The growing demand for automation is expected to significantly drive the expansion of generative artificial intelligence (AI) within the human resources (HR) market. Automation, which involves executing tasks with minimal human input to boost efficiency and productivity, is increasingly sought after for its ability to replace manual efforts with automated systems. This rising demand for automation is largely fueled by the need for greater efficiency, cost reductions, and improved accuracy. Generative AI in HR supports this shift by automating repetitive tasks such as candidate screening, job description creation, and performance evaluations. This technology not only improves HR efficiency and reduces manual workloads but also allows HR professionals to concentrate on more strategic roles. For example, a study conducted by the Department for Digital, Culture, Media & Sport (DCMS) and Capital Economics in January 2022 projected a significant increase in AI adoption from 15.1% in 2020 to 22.7% by 2025. This indicates that an additional 267,000 businesses will integrate AI into their operations. Furthermore, by 2040, approximately 34.8% of businesses are expected to adopt AI, equating to around 1.3 million companies utilizing the technology. Thus, the surge in automation is a key driver for the growth of generative AI in HR.
Key players in the generative AI in HR market are advancing their proprietary AI technologies to improve recruitment processes, enhance candidate sourcing, boost employee engagement, automate routine HR tasks, and offer data-driven insights for better workforce management. Proprietary AI technology refers to artificial intelligence systems and algorithms that are uniquely developed and owned by a company or individual, protected by intellectual property rights such as patents, copyrights, or trade secrets. For instance, in March 2023, Beamery, a UK-based talent engagement and recruitment software company, introduced TalentGPT, the world’s first generative AI for HR technology. TalentGPT utilizes Beamery’s proprietary AI alongside advanced large language models such as OpenAI’s GPT-4 to offer highly personalized HR solutions. This innovation allows for real-time customization of content, job descriptions, email templates, and career recommendations to align with the specific needs of organizations and employees, aiming to transform HR practices.
In April 2024, Apax Funds, a UK-based private equity firm, acquired Zellis Group for an undisclosed sum. Apax plans to utilize Zellis’s robust product offerings and established customer relationships to drive future success. With previous investments in the sector, such as Paycor, Apax’s expertise is expected to enhance Zellis’s technology and market approach, strengthening its position. Zellis Group, a UK-based provider of HR and payroll solutions, offers a range of services including generative AI-powered solutions such as a chat interface.
Major companies operating in the generative artificial intelligence (AI) in human resources (HR) market are International Business Machines Corp., Oracle Corporation, SAP SE, Automatic Data Processing Inc, Workday Inc., Cegid Group S.A., Cornerstone OnDemand Inc, Phenom People Inc, Jobvite Inc, Harver B.V., Eightfold AI Inc., Beamery Inc., Paradox Inc., Workable Technology Limited, ClearCompany Inc., Aisera Inc., Gloat Inc, JobAdder Operations Pty Ltd, SeekOut, TEXTIO INC., TalentGuard Inc., Cezanne HR Limited, Pymetrics Inc.
North America was the largest region in the generative artificial intelligence (AI) in human resources (HR) market in 2023. Asia Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in human resources (HR) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative artificial intelligence (AI) in human resources (HR) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Generative artificial intelligence (AI) in human resources (HR) involves using AI models to create new content, such as text, images, or audio, to support various HR tasks and processes. These AI models, trained on large datasets, can generate novel outputs that resemble the data they were trained on.
The main technologies of generative AI in HR include machine learning, natural language processing, deep learning, computer vision, and robotic process automation. Machine learning (ML) in HR enables AI systems to learn from data and improve over time without explicit programming. Deployment options include cloud-based and on-premise solutions, used for applications such as recruiting and hiring, onboarding, performance management, and overall efficiency improvements.
The generative artificial intelligence (AI) in human resources (HR) market research report is one of a series of new reports that provides generative artificial intelligence (AI) in human resources (HR) market statistics, including generative artificial intelligence (AI) in human resources (HR) industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in human resources (HR) market share, detailed generative artificial intelligence (AI) in human resources (HR) market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in human resources (HR) industry. This generative artificial intelligence (AI) in human resources (HR) market research report delivers a complete perspective on everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The generative artificial intelligence (AI) in the human resources (HR) market includes revenues earned by entities by providing services such as predictive analytics, AI-driven recruitment solutions and related talent management and development, human resources (HR) system integration, and administrative automation. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
Table of Contents
1. Executive Summary2. Generative Artificial Intelligence (AI) in Human Resources (HR) Market Characteristics3. Generative Artificial Intelligence (AI) in Human Resources (HR) Market Trends and Strategies4. Generative Artificial Intelligence (AI) in Human Resources (HR) Market - Macro Economic Scenario Including the Impact of Interest Rates, Inflation, Geopolitics, and the Recovery from COVID-19 on the Market32. Global Generative Artificial Intelligence (AI) in Human Resources (HR) Market Competitive Benchmarking and Dashboard33. Key Mergers and Acquisitions in the Generative Artificial Intelligence (AI) in Human Resources (HR) Market34. Recent Developments in the Generative Artificial Intelligence (AI) in Human Resources (HR) Market
5. Global Generative Artificial Intelligence (AI) in Human Resources (HR) Growth Analysis and Strategic Analysis Framework
6. Generative Artificial Intelligence (AI) in Human Resources (HR) Market Segmentation
7. Generative Artificial Intelligence (AI) in Human Resources (HR) Market Regional and Country Analysis
8. Asia-Pacific Generative Artificial Intelligence (AI) in Human Resources (HR) Market
9. China Generative Artificial Intelligence (AI) in Human Resources (HR) Market
10. India Generative Artificial Intelligence (AI) in Human Resources (HR) Market
11. Japan Generative Artificial Intelligence (AI) in Human Resources (HR) Market
12. Australia Generative Artificial Intelligence (AI) in Human Resources (HR) Market
13. Indonesia Generative Artificial Intelligence (AI) in Human Resources (HR) Market
14. South Korea Generative Artificial Intelligence (AI) in Human Resources (HR) Market
15. Western Europe Generative Artificial Intelligence (AI) in Human Resources (HR) Market
16. UK Generative Artificial Intelligence (AI) in Human Resources (HR) Market
17. Germany Generative Artificial Intelligence (AI) in Human Resources (HR) Market
18. France Generative Artificial Intelligence (AI) in Human Resources (HR) Market
19. Italy Generative Artificial Intelligence (AI) in Human Resources (HR) Market
20. Spain Generative Artificial Intelligence (AI) in Human Resources (HR) Market
21. Eastern Europe Generative Artificial Intelligence (AI) in Human Resources (HR) Market
22. Russia Generative Artificial Intelligence (AI) in Human Resources (HR) Market
23. North America Generative Artificial Intelligence (AI) in Human Resources (HR) Market
24. USA Generative Artificial Intelligence (AI) in Human Resources (HR) Market
25. Canada Generative Artificial Intelligence (AI) in Human Resources (HR) Market
26. South America Generative Artificial Intelligence (AI) in Human Resources (HR) Market
27. Brazil Generative Artificial Intelligence (AI) in Human Resources (HR) Market
28. Middle East Generative Artificial Intelligence (AI) in Human Resources (HR) Market
29. Africa Generative Artificial Intelligence (AI) in Human Resources (HR) Market
30. Generative Artificial Intelligence (AI) in Human Resources (HR) Market Competitive Landscape and Company Profiles
31. Generative Artificial Intelligence (AI) in Human Resources (HR) Market Other Major and Innovative Companies
35. Generative Artificial Intelligence (AI) in Human Resources (HR) Market High Potential Countries, Segments and Strategies
36. Appendix
Executive Summary
Generative Artificial Intelligence (AI) In Human Resources (HR) Global Market Report 2025 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on generative artificial intelligence (ai) In human resources (hr) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Reasons to Purchase:
- Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
- Assess the impact of key macro factors such as conflict, pandemic and recovery, inflation and interest rate environment and the 2nd Trump presidency.
- 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 shares.
- Benchmark performance against key competitors.
- Suitable for supporting your internal and external presentations with reliable high quality data and analysis
- Report will be updated with the latest data and delivered to you along with an Excel data sheet for easy data extraction and analysis.
- All data from the report will also be delivered in an excel dashboard format.
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 historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include: the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
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
Subsegments:
1) By Machine Learning: Predictive Analytics for Employee Retention; Talent Acquisition and Recruitment Optimization; Performance Evaluation Models; Employee Engagement Analysis; Skills Gap Analysis2) By Natural Language Processing (NLP): Automated Resume Screening and Parsing; Chatbots for Candidate Interaction; Sentiment Analysis of Employee Feedback; Personalized Communication and Engagement Tools; Job Description Optimization
3) By Deep Learning: Candidate Skill Matching and Assessment; Video Interview Analysis; Employee Training Personalization; Advanced Predictive Models for Workforce Planning; Learning Experience Platforms (LEPs)
4) By Computer Vision: Facial Recognition for Attendance Tracking; Analysis of Employee Behavior and Engagement; Virtual Reality (VR) For Training Simulations; Safety Monitoring in Workplace Environments; Automated Visual Inspections for Facilities Management
5) By Robotic Process Automation (RPA): Automating Repetitive HR Tasks (e.g., Onboarding); Data Entry and Record Management Automation; Payroll Processing and Compliance Automation; Employee Self-Service Portals; HR Reporting and Analytics Automation.
Key Companies Mentioned: International Business Machines Corp.; Oracle Corporation; SAP SE; Automatic Data Processing Inc; Workday Inc.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
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.
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.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
The major companies featured in this Generative Artificial Intelligence (AI) in Human Resources (HR) market report include:- International Business Machines Corp.
- Oracle Corporation
- SAP SE
- Automatic Data Processing Inc
- Workday Inc.
- Cegid Group S.A.
- Cornerstone OnDemand Inc
- Phenom People Inc
- Jobvite Inc
- Harver B.V.
- Eightfold AI Inc.
- Beamery Inc.
- Paradox Inc.
- Workable Technology Limited
- ClearCompany Inc.
- Aisera Inc.
- Gloat Inc
- JobAdder Operations Pty Ltd
- SeekOut
- TEXTIO INC.
- TalentGuard Inc.
- Cezanne HR Limited
- Pymetrics Inc
Table Information
Report Attribute | Details |
---|---|
No. of Pages | 200 |
Published | April 2025 |
Forecast Period | 2025 - 2029 |
Estimated Market Value ( USD | $ 0.75 Billion |
Forecasted Market Value ( USD | $ 1.45 Billion |
Compound Annual Growth Rate | 17.9% |
Regions Covered | Global |
No. of Companies Mentioned | 23 |