Generative Artificial Intelligence (AI) In Human Resources (HR) Market 2025

Published :July 2025

Pages :373

Format :PDF

Delivery Time :2-3 Business Days

ⓘ

Why 2-3 days? We update the report with the latest data and news before delivery. Let us know if you need us to expedite.

Report Price :$4,490.00

Generative Artificial Intelligence (AI) In Human Resources (HR) Market 2025

Name: Generative Artificial Intelligence (AI) In Human Resources (HR) Market 2025
Creator: The Business Research Company
License: https://www.thebusinessresearchcompany.com/privacy-policy

By Technology (Machine Learning, Natural Language Processing, Deep Learning, Computer Vision, Robotic Process Automation), By Deployment Mode (Cloud-Based, On-Premise), By Application (Recruiting And Hiring, Onboarding, Performance Management, Improved Efficiency, Other Applications) - Market Size, Trends, And Global Forecast 2025-2034

Home>Reports Store>Information Technology>Global Generative Artificial Intelligence (AI) In Human Resources (HR) Market 2025

Generative_Artificial_Intelligence_AI_In_Human_Resources_HR_Global_Market_Opportunities_And_Strategies_To_2034_Market_2025_Graph

Generative Artificial Intelligence (AI) In Human Resources (HR) Market Definition

Generative Artificial Intelligence (AI) in human resources (HR) refers to the application of advanced generative AI techniques to automate, enhance and personalize various HR functions. This technology leverages algorithms capable of generating human-like content and insights, thereby transforming traditional HR processes. The generative artificial intelligence (AI) in human resources (HR) market consists of sales, by entities (organizations, sole traders, or partnerships), of generative artificial intelligence (AI) in human resources (HR) that utilize generative AI to streamline tasks such as candidate screening, job description creation and performance evaluations. These tools are employed throughout the employee lifecycle from recruitment and onboarding to performance management and employee engagement. By automating repetitive tasks, generative AI allows HR teams to focus on strategic initiatives, improving overall efficiency and effectiveness.

Book your 30 minutes free consultation with our research experts

Generative Artificial Intelligence (AI) In Human Resources (HR) Market Size

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 $1,283.22 million 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 $2,602.71 million 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.

Generative Artificial Intelligence (AI) In Human Resources (HR) Market Drivers

The key drivers of the generative artificial intelligence (AI) in human resources (HR) market include: Rising Adoption Of AI In Enterprise Software Rising adoption of AI in enterprise software is expected to propel the growth of generative artificial intelligence (AI) in the human resources (HR) market going forward. The adoption of AI in enterprise software enhances generative AI applications in HR by integrating intelligent automation into core HR systems, such as applicant tracking and performance management platforms. This enables HR teams to streamline workflows, generate personalized content and make data-driven decisions more efficiently. The rising adoption of AI in enterprise software contribution during the forecast period in 2024 is 1.20%.

Generative Artificial Intelligence (AI) In Human Resources (HR) Market Restraints

The key restraints on the generative artificial intelligence (AI) in human resources (HR) market include: Cybersecurity Risks Cybersecurity Risks are expected to hamper the growth of the generative artificial intelligence (AI) in the human resources (HR) market. Cybersecurity risks hamper generative AI in HR by raising concerns over sensitive employee data breaches and unauthorized access, which can lead to loss of trust and legal liabilities. These risks slow down AI adoption as organizations prioritize data protection and compliance. Therefore, cybersecurity risks may hinder the growth of the generative artificial intelligence (AI) in the human resources (HR) market. Growth affected by cybersecurity risks during the forecast period in 2024 is -2.00%.

Generative Artificial Intelligence (AI) In Human Resources (HR) Market Trends

Major trends shaping the generative artificial intelligence (AI) in human resources (HR) market include: Improving Workforce Engagement Through AI Integration Companies in the generative artificial intelligence (AI) for human resources (HR) market are advancing assisted authoring tools that enable HR professionals to quickly and accurately create personalized job descriptions, performance objectives and employee communications. These AI-powered solutions enhance efficiency by providing intelligent, context-aware suggestions and automating the drafting process. Assisted authoring in HR leverages generative AI to streamline the creation and customization of documents such as job postings, performance evaluations and internal messages, making them more relevant and tailored to organizational needs. For instance, In June 2023, Oracle Corporation, a US-based technology company specializing in database software, cloud computing and enterprise applications, integrated generative AI capabilities into its Fusion Cloud Human Capital Management (HCM) platform, powered by Oracle Cloud Infrastructure (OCI), to enhance productivity, streamline HR operations and elevate the candidate and employee experience. These AI features, like Assisted Authoring, Suggestions and Summarization, enable faster content creation, smarter task recommendations and efficient data insights, reducing manual effort across HR functions. By leveraging large language models, Oracle Cloud HCM helps organizations automate processes such as drafting job descriptions, generating performance goals and summarizing employee evaluations, ultimately driving faster business value and improving decision-making. Personalizing Employee Experiences Through Advanced Algorithms Companies operating in the generative artificial intelligence (AI) in human resources (HR) market are developing advanced technologies, such as proprietary artificial intelligence (AI) technology, to enhance recruitment processes, streamline candidate sourcing, improve employee engagement, automate routine HR tasks and provide data-driven insights for better decision-making and workforce management. Proprietary artificial intelligence (AI) technology refers to artificial intelligence systems and algorithms that are developed and owned exclusively by a company or individual. This technology is unique to its owner and is 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, launched TalentGPT. It is the world’s first generative AI for HR technology. TalentGPT is designed to deeply personalize HR processes by leveraging both Beamery’s proprietary AI and advanced large language models like OpenAI’s GPT-4, enabling real-time adaptation of content, job descriptions, email templates and career recommendations to meet the specific needs and evolving requirements of organizations and employees.

Need data on a specific region in this market?

Opportunities And Recommendations In The Generative Artificial Intelligence (AI) In Human Resources (HR) Market

Opportunities – 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. Recommendations- To take advantage of the opportunities, The Business Research Company recommends the generative artificial intelligence (AI) in human resources (HR) 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.