Artificial Intelligence (AI) in HR Market By Deployment Type (On-Premise, Cloud-Based), By Application (Talent Acquisition, Employee Engagement, Performance Management, Learning and Development, Compensation and Benefits), By End-User Industry (Information Technology, Healthcare, Manufacturing, Retail, Financial Services, Telecommunications, Education, Government, Energy and Utilities, Transportation and Logistics), and By Region; Global Insights & Forecast (2023 – 2030)

As per Intent Market Research, the Artificial Intelligence in HR Market was valued at USD 9.6 Billion in 2024-e and will surpass USD 56.5 Billion by 2030; growing at a CAGR of 34.3% during 2025-2030.

The artificial intelligence (AI) in human resources (HR) market has gained significant traction as organizations seek to streamline and enhance their HR processes. AI technologies, including machine learning and data analytics, are revolutionizing HR functions such as talent acquisition, employee engagement, performance management, and workforce analytics. By automating repetitive tasks, AI offers efficiency, reduces human error, and enables data-driven decision-making. With the growing demand for automation and personalized experiences, AI is set to play a transformative role in HR management across various industries. As organizations adopt AI to improve their HR operations, the market is expected to grow rapidly over the next several years.

Deployment Type Segment is Fastest Growing Owing to Cloud-Based Solutions

Among the various deployment types in the AI in HR market, cloud-based solutions are the fastest growing due to their scalability, flexibility, and cost-effectiveness. Cloud platforms enable organizations to access HR tools and data from any location, facilitating remote work and enhancing collaboration. These platforms are particularly beneficial for companies looking to scale their HR operations without heavy upfront investments in on-premise infrastructure. The ability to update software seamlessly, integrate with other business systems, and leverage advanced analytics offered by cloud-based HR solutions is driving the shift towards cloud deployment. This growth is further fueled by the increasing trend of digital transformation within HR departments globally, as companies recognize the value of leveraging cloud solutions for AI-driven HR processes.

Artificial Intelligence (AI) in HR Market Size

Application Segment is Largest Owing to Talent Acquisition

In the application segment, talent acquisition is the largest subsegment within the AI in HR market. AI-powered tools are transforming recruitment by automating candidate sourcing, resume screening, and initial assessments, significantly reducing the time spent on manual tasks. Machine learning algorithms help HR professionals to identify the best-fit candidates for a job by analyzing historical data, skills, qualifications, and experience. These tools not only streamline the recruitment process but also improve hiring outcomes by minimizing biases and improving diversity and inclusion. The growing demand for AI-based recruitment solutions is driven by the need for faster, more accurate, and cost-effective hiring practices, particularly in industries with high turnover rates or skills shortages.

End-User Industry Segment is Largest Owing to Information Technology

In the end-user industry segment, the information technology (IT) sector is the largest adopter of AI in HR. IT companies are at the forefront of embracing AI technologies to automate and optimize their HR functions. These companies leverage AI to streamline talent acquisition processes, manage employee performance, and enhance overall employee engagement. The IT industry’s focus on innovation and automation aligns well with AI’s capabilities, making it an ideal market for AI-driven HR solutions. Additionally, the IT sector has a high demand for skilled workers, making AI recruitment tools indispensable for sourcing, screening, and hiring top talent efficiently. As AI technology continues to evolve, its adoption in the IT sector is expected to expand further, driving growth in the AI in HR market.

Region Segment is Largest Owing to North America's Technology Adoption

North America holds the largest share of the AI in HR market, driven by the region’s early adoption of advanced technologies and a robust business infrastructure. The United States, in particular, is home to many leading technology firms that are integrating AI into their HR systems. North American companies are leveraging AI for various HR applications, including talent acquisition, performance management, and employee engagement. The region’s high level of investment in AI technologies, coupled with a mature HR ecosystem, makes it the dominant market for AI in HR. Furthermore, the regulatory environment in North America supports the growth of AI, ensuring compliance and data protection while fostering innovation. As AI adoption in HR continues to rise, North America is expected to remain the largest region for AI-driven HR solutions.

Artificial Intelligence (AI) in HR Market Size by Region 2030

Competitive Landscape and Leading Companies

The AI in HR market is highly competitive, with several established players driving innovation and offering AI-powered solutions to optimize HR processes. Key players in the market include IBM Corporation, Oracle Corporation, SAP SE, Microsoft, Workday, and ADP, among others. These companies are continuously innovating to stay ahead in the competitive landscape by incorporating advanced AI features into their HR solutions. Strategic partnerships, acquisitions, and product innovations are common among leading companies to expand their AI capabilities in the HR space. For instance, Microsoft’s acquisition of LinkedIn has enabled the company to integrate AI-driven recruitment tools into its HR software, while Workday’s investment in machine learning has bolstered its talent management and analytics offerings. The competitive landscape is expected to remain dynamic as companies focus on AI advancements to meet the evolving needs of HR professionals across industries.

Recent Developments:

  • LinkedIn is testing a new AI-driven job search tool that utilizes a custom large language model to help users discover job opportunities they might otherwise miss.
  • Workday introduced AI-powered "agents" into its recruitment processes, enabling functionalities such as creating job descriptions, sourcing candidates, and scheduling interviews, all while requiring human oversight for final decisions.
  • Employment Hero launched AI-powered tools that analyze organizational structures and employee turnover rates to predict future recruitment needs, allowing SMEs to proactively address staffing requirements.
  • Viscount Camrose, Shadow Minister for AI, criticized the current use of AI in recruiting, describing it as unimaginative and inefficient, and called for a more innovative application of AI in matching candidates to opportunities.
  • AI tools are helping startups predict and plan their recruitment needs by analyzing data to identify suitable candidates, streamlining the hiring process.

List of Leading Companies:

  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • Microsoft Corporation
  • Workday, Inc.
  • ADP, LLC
  • Ultimate Software
  • Cornerstone OnDemand, Inc.
  • Ceridian HCM Holding Inc.
  • SuccessFactors (a subsidiary of SAP)
  • LinkedIn Corporation
  • Zenefits
  • BambooHR
  • Gusto
  • Greenhouse Software, Inc.

Report Scope:

Report Features

Description

Market Size (2024-e)

USD 9.6 Billion

Forecasted Value (2030)

USD 56.5 Billion

CAGR (2025 – 2030)

34.3%

Base Year for Estimation

2024-e

Historic Year

2023

Forecast Period

2025 – 2030

Report Coverage

Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments

Segments Covered

Artificial Intelligence in HR Market By Deployment Type (On-Premise, Cloud-Based), By Application (Talent Acquisition, Employee Engagement, Performance Management, Learning and Development, Compensation and Benefits), By End-User Industry (Information Technology, Healthcare, Manufacturing, Retail, Financial Services, Telecommunications, Education, Government, Energy and Utilities, Transportation and Logistics)

Regional Analysis

North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, and Rest of Europe), Asia-Pacific (China, Japan, South Korea, Australia, India, and Rest of Asia-Pacific), Latin America (Brazil, Argentina, and Rest of Latin America), Middle East & Africa (Saudi Arabia, UAE, Rest of Middle East & Africa)

Major Companies

IBM Corporation, Oracle Corporation, SAP SE, Microsoft Corporation, Workday, Inc., ADP, LLC, Ultimate Software, Cornerstone OnDemand, Inc., Ceridian HCM Holding Inc., SuccessFactors (a subsidiary of SAP), LinkedIn Corporation, Zenefits, BambooHR, Gusto, Greenhouse Software, Inc.

Customization Scope

Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements

Frequently Asked Questions

The Artificial Intelligence in HR Market was valued at USD 9.6 Billion in 2024-e and is expected to grow at a CAGR of over 34.3% from 2025 to 2030

AI enhances talent acquisition by analyzing resumes, predicting candidate success, and automating initial screening, leading to more efficient hiring processes.

AI tools monitor employee sentiment, provide personalized feedback, and suggest development opportunities, fostering a more engaged workforce.

AI evaluates employee performance through data analysis, offering objective assessments and identifying areas for improvement.

AI personalizes learning experiences, recommends relevant training programs, and tracks progress, enhancing employee development.

1. Introduction

   1.1. Market Definition

   1.2. Scope of the Study

   1.3. Research Assumptions

   1.4. Study Limitations

2. Research Methodology

   2.1. Research Approach

      2.1.1. Top-Down Method

      2.1.2. Bottom-Up Method

      2.1.3. Factor Impact Analysis

  2.2. Insights & Data Collection Process

      2.2.1. Secondary Research

      2.2.2. Primary Research

   2.3. Data Mining Process

      2.3.1. Data Analysis

      2.3.2. Data Validation and Revalidation

      2.3.3. Data Triangulation

3. Executive Summary

   3.1. Major Markets & Segments

   3.2. Highest Growing Regions and Respective Countries

   3.3. Impact of Growth Drivers & Inhibitors

   3.4. Regulatory Overview by Country

4. Artificial Intelligence in HR Market, by Deployment Type (Market Size & Forecast: USD Million, 2023 – 2030)

   4.1. On-Premise

   4.2. Cloud-Based

5. Artificial Intelligence in HR Market, by Application (Market Size & Forecast: USD Million, 2023 – 2030)

   5.1. Talent Acquisition

   5.2. Employee Engagement

   5.3. Performance Management

   5.4. Learning and Development

   5.5. Compensation and Benefits

6. Artificial Intelligence in HR Market, by End-User Industry (Market Size & Forecast: USD Million, 2023 – 2030)

   6.1. Information Technology

   6.2. Healthcare

   6.3. Manufacturing

   6.4. Retail

   6.5. Financial Services

   6.6. Telecommunications

   6.7. Education

   6.8. Government

   6.9. Energy and Utilities

   6.10. Transportation and Logistics

7. Regional Analysis (Market Size & Forecast: USD Million, 2023 – 2030)

   7.1. Regional Overview

   7.2. North America

      7.2.1. Regional Trends & Growth Drivers

      7.2.2. Barriers & Challenges

      7.2.3. Opportunities

      7.2.4. Factor Impact Analysis

      7.2.5. Technology Trends

      7.2.6. North America Artificial Intelligence in HR Market, by Deployment Type

      7.2.7. North America Artificial Intelligence in HR Market, by Application

      7.2.8. North America Artificial Intelligence in HR Market, by End-User Industry

      7.2.9. By Country

         7.2.9.1. US

               7.2.9.1.1. US Artificial Intelligence in HR Market, by Deployment Type

               7.2.9.1.2. US Artificial Intelligence in HR Market, by Application

               7.2.9.1.3. US Artificial Intelligence in HR Market, by End-User Industry

         7.2.9.2. Canada

         7.2.9.3. Mexico

    *Similar segmentation will be provided for each region and country

   7.3. Europe

   7.4. Asia-Pacific

   7.5. Latin America

   7.6. Middle East & Africa

8. Competitive Landscape

   8.1. Overview of the Key Players

   8.2. Competitive Ecosystem

      8.2.1. Level of Fragmentation

      8.2.2. Market Consolidation

      8.2.3. Product Innovation

   8.3. Company Share Analysis

   8.4. Company Benchmarking Matrix

      8.4.1. Strategic Overview

      8.4.2. Product Innovations

   8.5. Start-up Ecosystem

   8.6. Strategic Competitive Insights/ Customer Imperatives

   8.7. ESG Matrix/ Sustainability Matrix

   8.8. Manufacturing Network

      8.8.1. Locations

      8.8.2. Supply Chain and Logistics

      8.8.3. Product Flexibility/Customization

      8.8.4. Digital Transformation and Connectivity

      8.8.5. Environmental and Regulatory Compliance

   8.9. Technology Readiness Level Matrix

   8.10. Technology Maturity Curve

   8.11. Buying Criteria

9. Company Profiles

   9.1. IBM Corporation

      9.1.1. Company Overview

      9.1.2. Company Financials

      9.1.3. Product/Service Portfolio

      9.1.4. Recent Developments

      9.1.5. IMR Analysis

    *Similar information will be provided for other companies 

   9.2. Oracle Corporation

   9.3. SAP SE

   9.4. Microsoft Corporation

   9.5. Workday, Inc.

   9.6. ADP, LLC

   9.7. Ultimate Software

   9.8. Cornerstone OnDemand, Inc.

   9.9. Ceridian HCM Holding Inc.

   9.10. SuccessFactors (a subsidiary of SAP)

   9.11. LinkedIn Corporation

   9.12. Zenefits

   9.13. BambooHR

   9.14. Gusto

   9.15. Greenhouse Software, Inc.

10. Appendix

 

A comprehensive market research approach was employed to gather and analyze data on the AI in HR Market. In the process, the analysis was also done to analyze the parent market and relevant adjacencies to measure the impact of them on the AI in HR Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.

Research Approach - AI in HR MarketSecondary Research

Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.

Primary Research

Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the AI in HR ecosystem. The primary research objectives included:

  • Validating findings and assumptions derived from secondary research
  • Gathering qualitative and quantitative data on market trends, drivers, and challenges
  • Understanding the demand-side dynamics, encompassing end-users, component manufacturers, facility providers, and service providers
  • Assessing the supply-side landscape, including technological advancements and recent developments

Market Size Assessment

A combination of top-down and bottom-up approaches was utilized to analyze the overall size of the AI in HR Market. These methods were also employed to assess the size of various subsegments within the market. The market size assessment methodology encompassed the following steps:

  1. Identification of key industry players and relevant revenues through extensive secondary research
  2. Determination of the industry's supply chain and market size, in terms of value, through primary and secondary research processes
  3. Calculation of percentage shares, splits, and breakdowns using secondary sources and verification through primary sources

Bottom Up and Top Down - AI in HR MarketData Triangulation

To ensure the accuracy and reliability of the market size, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size assessment.

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