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2025-2034 Generative Artificial Intelligence (AI) In Human Resources (HR) Market Roadmap: Insights for Competitive Advantage
Use code ONLINE30 to get 30% off on global market reports and stay ahead of tariff changes, macro trends, and global economic shifts.How Large Will the Generative Artificial Intelligence (AI) In Human Resources (HR) Market Size By 2025?
Recent years have seen an accelerated expansion in the generative artificial intelligence (AI) market within the sphere of human resources (HR). The market growth is set to escalate from $0.63 billion in 2024 to $0.75 billion in 2025, with a compound annual growth rate (CAGR) of 18.3%. Factors prompting this growth during the historical period include an increase in data-oriented decision making, a spike in the need for personalized employee experiences, the revolution of hiring processes, the arrival of advanced analytics tools, the increased focus on diversity and inclusion initiatives, and the trend towards remote and hybrid working environments.
How Big Is the Generative Artificial Intelligence (AI) In Human Resources (HR) Market Size Expected to Grow by 2029?
Significant expansion is anticipated in the generative artificial intelligence (AI) in human resources (hr) market size in the forthcoming years, with projections estimating it to reach $1.45 billion by 2029, charting a compound annual growth rate (CAGR) of 17.9%. The expected growth during the forecast period is linked with the increasing adoption of AI technology, intricate workforce management needs, a surge in demand for improved employee engagement initiatives, the requirement for instant performance feedback platforms, emphasis on ongoing learning and growth, enhancement of AI in predictive analytics, and the amalgamation of AI with existing HR systems to smoothen processes. Key trends for the forecast period consist of the rising utilization of AI-enabled chatbots and virtual assistants, increasing application of machine learning algorithms in talent management and workforce planning, escalating need for personalized employee journeys through AI-created content, expanding the role of AI in recruitment and hiring processes, merging AI with current HR systems for better efficiency, growing focus on AI-based performance management and employee growth strategies, and the predicted expansion of cloud-based deployment of generative AI solutions in HR.
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Which Key Market Drivers Powering Generative Artificial Intelligence (AI) In Human Resources (HR) Market Expansion and Growth?
The soaring need for automation is predicted to boost the expansion of generative artificial intelligence (AI) in the human resources (HR) market. Automation is a technology-powered process that utilizes limited human interaction to perform tasks, thereby enhancing productivity and efficiency by replacing manual labor with automated systems. The surge in automation demand has been motivated by the desire for enhanced efficiency, cost reduction, and precision. Generative AI plays a pivotal role in HR to meet these automation needs by automating mundane HR activities like candidate screening, constructing job descriptions, and performance assessments. This advanced technology boosts HR effectiveness, diminishes manual duties, and enables HR specialists to concentrate on more strategic projects. For instance, a study by the Department for Digital, Culture, Media & Sport (DCMS), a UK-based government body, and Capital Economics, a UK-based information services firm, in January 2022 projected a significant hike in AI technology adoption from 15.1% in 2020 to 22.7% in 2025. This increase integrates an additional 267,000 businesses using AI. Moreover, it's expected that by 2040, approximately 34.8% of companies, or around 1.3 million businesses, will have adopted AI. As a result, this growing demand for automation fuels the expansion of generative artificial intelligence (AI) in the human resources (HR) market.
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Which Fast-Growing Trends Are Poised to Disrupt the Generative Artificial Intelligence (AI) In Human Resources (HR) Market?
Major firms involved in the generative artificial intelligence for human resources field are introducing highly sophisticated technologies including their own proprietary artificial intelligence technology. The aim is to refine recruitment procedures, enhance candidate sourcing, increase employee engagement, mechanize routine HR tasks, and furnish data led insights to assist improved decision making and workforce management. Proprietary artificial intelligence technology means those AI systems and algorithms that a company or an individual has exclusively developed and owns. This technology, being particular to its owner, is secured by intellectual property rights like patents, copyrights or trade secrets. Consider Beamery for instance, a UK-based talent engagement and recruitment software firm, launched TalentGPT in March 2023. Being the world's first generative AI for HR technology, TalentGPT is intended to deeply personalize HR processes using both Beamery's own AI and advanced language models like OpenAI's GPT-4 to enable real-time adaptation of content, job specifications, email formats and career suggestions, tailored to the distinct needs and changing demands of organizations and their employees. TalentGPT seeks to revolutionize HR practices by providing highly personalized and adaptive solutions.
What Are the Emerging Segments in the Generative Artificial Intelligence (AI) In Human Resources (HR) Market?
The generative artificial intelligence (AI) in human resources (hr) market covered in this report is segmented -
1) By Technology: Machine Learning, Natural Language Processing, Deep Learning, Computer Vision, Robotic Process Automation
2) 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 Analysis
2) 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.
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Who Are the Global Leaders in the Generative Artificial Intelligence (AI) In Human Resources (HR) Market?
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
Which are the Top Profitable Regional Markets for the Generative Artificial Intelligence (AI) In Human Resources (HR) Industry?
North America was the largest region in the generative artificial intelligence (AI) in human resources (HR) market in 2024. 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.
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