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Artificial Intelligence in HR Market Growth Outlook: How Much Bigger Will The Market Be By 2030?
The artificial intelligence in HR market has seen rapid growth in recent years. It is forecast to increase from $6.99 billion in 2025 to $8.3 billion in 2026, achieving a compound annual growth rate (CAGR) of 18.7%. The expansion observed in prior periods can be attributed to the need for efficient recruitment processes, the growth of enterprise HR software, increasing workforce data, the demand for productivity optimization, and the adoption of digital HR platforms.
The artificial intelligence in hr market is projected for significant expansion over the coming years, reaching $16.83 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 19.3%. This anticipated growth stems from factors such as the increasing adoption of AI-powered HR tools, an enhanced focus on employee experience, the proliferation of remote work models, a rising demand for predictive workforce analytics, and the seamless integration of HR systems with AI platforms. Key trends expected during this period involve AI-powered talent acquisition, advanced people analytics and workforce insights, automated tools for employee engagement, intelligent performance management systems, and the utilization of virtual HR assistants.
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How Is The Key Growth Driver Influencing The Artificial Intelligence in HR Market?
The escalating pace of job recruitment is anticipated to stimulate the advancement of artificial intelligence within the HR market in the future. Job recruitment, often termed simply as recruitment, is the systematic activity of proactively identifying and drawing in suitable individuals to occupy vacant positions within an entity. Artificial Intelligence (AI) significantly contributes to various facets of this process by elevating efficiency, fostering impartiality, and refining the overall experience for candidates. As an illustration, data released in September 2024 by the U.S. Bureau of Labour Statistics, a U.S. federal agency, indicated that the average number of hires reached 5.8 million each month in 2023, marking an increase from roughly 5.4 million per month recorded in 2022. Consequently, the heightened activity in job recruitment is acting as a primary catalyst for the expansion of artificial intelligence in the HR market.
Artificial Intelligence in HR Market Segmentation By Category: What Does The 2026 Report Cover?
The artificial intelligence in hr market covered in this report is segmented –
1) By Offering: Hardware, Software, Services
2) By Technology: Virtual Assistants, Metaverse, AI Chatbot, People Analytics, Machine Learning, Computer Vision, Natural Language Processing, Other Technologies
3) By Enterprise Size: Small And Medium Enterprises, Large Enterprises
4) By Application: Workforce Management, Talent Management, Payroll Management, Performance Management, Recruitment, Hiring, Other Applications
5) By Industry: Academic, Banking, Financial Services And Insurance (BFSI), Government, Healthcare, Information Technology (IT) And Telecom, Manufacturing, Retail, Other Industries
Subsegments:
1) By Hardware: AI-Powered Recruitment Tools, Biometric Devices For Attendance Tracking, Wearable Technology For Employee Wellness
2) By Software: Applicant Tracking Systems (ATS), Performance Management Software, Employee Engagement Platforms, Learning Management Systems (LMS), Chatbots For HR Support
3) By Services: Consulting Services For AI Implementation, Training And Support Services, Data Analytics And Reporting Services, Managed Services For HR Operations
How Are Industry Players Changing The Artificial Intelligence in HR Market Landscape?
Major companies operating in the artificial intelligence in the HR market are focusing on strategic collaboration to maintain their position within the market. A strategic collaboration refers to a cooperative agreement or partnership between two or more entities, such as companies, organisations, or institutions, with the aim of achieving mutual goals and objectives that are strategically important for each participant. For instance, in October 2023, Ernst & Young Global Limited, a UK-based provider of professional services, partnered with International Business Machines Corporation, a US-based technology company, to launch EY.AI Workforce. This is an innovative HR solution designed to help organisations integrate artificial intelligence (AI) into their key HR business processes. EY.AI Workforce can automate many time-consuming HR tasks, such as the onboarding of new employees, processing payroll, and managing benefits, which then allows HR professionals to concentrate on more strategic work.
Artificial Intelligence in HR Market Global Key Players And Competitive Overview
Major companies operating in the artificial intelligence in hr market are IBM Corporation; Oracle Corporation; SAP SE; Automatic Data Processing Inc.; Workday Inc.; Infor; Ceridian HCM Inc.; Cegid Group; Cornerstone OnDemand Inc.; JobTeaser; Phenom People Inc.; Eightfold AI; Simpplr; Beamery Inc.; HireVue Inc.; Jobvite Inc.; EdCast Inc.; Harver B.V.; SmartRecruiters; Gloat; Aisera; PageUp People Pty; JobAdder Operations Pty Ltd.; Entelo Inc.; Textio; Cezanne HR Limited; Brazen Technologies Inc.; Pymetrics Inc.
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Regional Analysis Of The Artificial Intelligence in HR Market: Where Is The Industry Concentrated?
North America was the largest region in the artificial intelligence in HR market in 2025. The regions covered in the artificial intelligence in hr market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
