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Artificial Intelligence In HR Market Size, Share & Trends Analysis Report By Component (Solutions, Services), By Deployment Mode, By Enterprise Size, By Application, By End-use, By Region, And Segment Forecasts, 2024 - 2030

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BJH 24.09.30

AI In HR Market Size & Trends:

The global artificial intelligence in HR market size was estimated at USD 3.25 billion in 2023 and is projected to grow at a CAGR of 24.8% from 2024 to 2030. The automation of recruitment processes is anticipated to drive the market growth. AI-powered tools streamline candidate sourcing, resume screening, and interview scheduling, drastically reducing time-to-hire and improving the quality of hires. Automated systems can analyze vast amounts of data to identify the best candidates, ensuring a more efficient and unbiased recruitment process. This trend is particularly beneficial for large organizations and industries with high turnover rates.

Artificial intelligence (AI) is revolutionizing employee engagement by providing personalized experiences and support. AI-driven platforms offer tailored career development plans, training programs, and real-time feedback, enhancing employee satisfaction and retention. These tools analyze employee data to identify engagement trends and predict potential issues, allowing human resource (HR) teams to proactively address concerns. The ability to deliver personalized experiences at scale is driving widespread adoption.

The integration of AI is enabling advanced workforce analytics, providing deep insights into employee performance, productivity, and satisfaction. AI-powered analytics tools can identify patterns and trends, offering actionable insights for strategic decision-making. This data-driven approach helps organizations optimize workforce planning, identify skill gaps, and improve overall organizational performance. The demand for sophisticated analytics solutions is a key driver of market growth.

AI technologies are improving compliance and risk management in HR by ensuring adherence to legal and regulatory requirements. AI-driven systems can monitor and analyze HR practices, flagging potential compliance issues and reducing the risk of legal complications. These tools also enhance data security by safeguarding sensitive employee information. The growing emphasis on regulatory compliance and risk mitigation is fostering the adoption of AI solutions in HR operations.

Global Artificial Intelligence In HR Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global artificial intelligence inHR market report based on component, deployment mode, enterprise size, application, end use, and region:

  • Component Outlook (Revenue, USD Million, 2018 - 2030)
  • Solutions
    • Chatbots
    • Virtual Assistants
    • Software Platforms
    • Analytics Solutions
    • Others
  • Services
    • Implementation Services
    • Consulting Services
    • Training and Support Services
  • Deployment Mode Outlook (Revenue, USD Million, 2018 - 2030)
  • Cloud-based
  • On-premises
  • Enterprise Size Outlook (Revenue, USD Million, 2018 - 2030)
  • Small & Medium Enterprises (SMEs)
  • Large Enterprises
  • Application Outlook (Revenue, USD Million, 2018 - 2030)
  • Recruitment & Hiring
  • Employee Onboarding & Engagement
  • Employee Record Management
  • Performance Management
  • Payroll Processing
  • Others
  • End Use Outlook (Revenue, USD Million, 2018 - 2030)
  • BFSI
  • Healthcare
  • IT & Telecommunication
  • Retail & E-Commerce
  • Manufacturing
  • Education
  • Government
  • Others
  • Regional Outlook (Revenue, USD Million, 2018 - 2030)
  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
  • Latin America
    • Brazil
  • Middle East and Africa (MEA)
    • UAE
    • Saudi Arabia
    • South Africa

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definitions
  • 1.3. Information Procurement
    • 1.3.1. Information analysis
    • 1.3.2. Market formulation & data visualization
    • 1.3.3. Data validation & publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. AI in HR Market Snapshot
  • 2.2. AI in HR Market - Segment Snapshot
  • 2.3. AI in HR Market - Competitive Landscape Snapshot

Chapter 3. AI in HR Platform Market - Industry Outlook

  • 3.1. Market Lineage Outlook
  • 3.2. Industry Value Chain Analysis
  • 3.3. Market Dynamics
    • 3.3.1. Market Driver Analysis
    • 3.3.2. Market Restraint Analysis
    • 3.3.3. Industry Challenges
    • 3.3.4. Industry Opportunities
  • 3.4. Industry Analysis Tools
    • 3.4.1. Porter's analysis
    • 3.4.2. Macroeconomic analysis
  • 3.5. AI in HR Market Technology Trends

Chapter 4. AI in HR Market: Component Estimates & Trend Analysis

  • 4.1. Component Movement Analysis & Market Share, 2023 & 2030
  • 4.2. AI in HR Market Estimates & Forecast By Component (USD Million)
    • 4.2.1. Solutions
      • 4.2.1.1. Chatbots
      • 4.2.1.2. Virtual Assistants
      • 4.2.1.3. Software Platforms
      • 4.2.1.4. Analytics Solutions
      • 4.2.1.5. Others
    • 4.2.2. Services
      • 4.2.2.1. Implementation Services
      • 4.2.2.2. Consulting Services
      • 4.2.2.3. Training and Support Services

Chapter 5. AI in HR Market: Deployment Mode Estimates & Trend Analysis

  • 5.1. Deployment Mode Movement Analysis & Market Share, 2023 & 2030
  • 5.2. AI in HR Market Estimates & Forecast By Deployment Mode (USD Million)
    • 5.2.1. Cloud-based
    • 5.2.2. On-premises

Chapter 6. AI in HR Market: Enterprise Size Estimates & Trend Analysis

  • 6.1. Enterprise Size Movement Analysis & Market Share, 2023 & 2030
  • 6.2. AI in HR Market Estimates & Forecast By Enterprise Size (USD Million)
    • 6.2.1. Small and Medium Enterprises (SMEs)
    • 6.2.2. Large Enterprises

Chapter 7. AI in HR Market: Application Estimates & Trend Analysis

  • 7.1. Application Movement Analysis & Market Share, 2023 & 2030
  • 7.2. AI in HR Market Estimates & Forecast, By Application (USD Million)
    • 7.2.1. Recruitment & Hiring
    • 7.2.2. Employee Onboarding & Engagement
    • 7.2.3. Employee Record Management
    • 7.2.4. Performance Management
    • 7.2.5. Payroll Processing
    • 7.2.6. Others

Chapter 8. AI in HR Market: End Use Estimates & Trend Analysis

  • 8.1. End Use Movement Analysis & Market Share, 2023 & 2030
  • 8.2. AI in HR Market Estimates & Forecast, By End Use (USD Million)
    • 8.2.1. BFSI
    • 8.2.2. Healthcare
    • 8.2.3. IT & Telecommunication
    • 8.2.4. Retail & E-Commerce
    • 8.2.5. Manufacturing
    • 8.2.6. Education
    • 8.2.7. Government
    • 8.2.8. Others

Chapter 9. Regional Estimates & Trend Analysis

  • 9.1. AI in HR Market by Region, 2023 & 2030
  • 9.2. North America
    • 9.2.1. North America AI in HR Market Estimates & Forecasts, 2018 - 2030 (USD Million)
    • 9.2.2. U.S.
    • 9.2.3. Canada
    • 9.2.4. Mexico
  • 9.3. Europe
    • 9.3.1. Europe AI in HR Market Estimates & Forecasts, 2018 - 2030 (USD Million)
    • 9.3.2. UK
    • 9.3.3. Germany
    • 9.3.4. France
  • 9.4. Asia Pacific
    • 9.4.1. Asia Pacific AI in HR Market Estimates & Forecasts, 2018 - 2030 (USD Million)
    • 9.4.2. China
    • 9.4.3. Japan
    • 9.4.4. India
    • 9.4.5. South Korea
    • 9.4.6. Australia
  • 9.5. Latin America
    • 9.5.1. Latin America AI in HR Market Estimates & Forecasts, 2018 - 2030 (USD Million)
    • 9.5.2. Brazil
  • 9.6. Middle East & Africa (MEA)
    • 9.6.1. MEA AI in HR Market Estimates & Forecasts, 2018 - 2030 (USD Million)
    • 9.6.2. UAE
    • 9.6.3. Saudi Arabia
    • 9.6.4. South Africa

Chapter 10. AI in HR Market - Competitive Landscape

  • 10.1. Recent Developments & Impact Analysis, By Key Market Participants
  • 10.2. Company Categorization
  • 10.3. Participant's Overview
  • 10.4. Financial Performance
  • 10.5. Product Benchmarking
  • 10.6. Company Market Positioning Analysis
  • 10.7. Company Heat Map Analysis
  • 10.8. Strategy Mapping
    • 10.8.1. Expansion/Divestiture
    • 10.8.2. Collaborations/Partnerships
    • 10.8.3. New Product Launches
    • 10.8.4. Contract
  • 10.9. Company Profiles
    • 10.9.1. IBM Corporation
      • 10.9.1.1. Participant's Overview
      • 10.9.1.2. Financial Performance
      • 10.9.1.3. Product Benchmarking
      • 10.9.1.4. Recent Developments
    • 10.9.2. Oracle Corporation
      • 10.9.2.1. Participant's Overview
      • 10.9.2.2. Financial Performance
      • 10.9.2.3. Product Benchmarking
      • 10.9.2.4. Recent Developments
    • 10.9.3. SAP SE
      • 10.9.3.1. Participant's Overview
      • 10.9.3.2. Financial Performance
      • 10.9.3.3. Product Benchmarking
      • 10.9.3.4. Recent Developments
    • 10.9.4. Automatic Data Processing Inc.
      • 10.9.4.1. Participant's Overview
      • 10.9.4.2. Financial Performance
      • 10.9.4.3. Product Benchmarking
      • 10.9.4.4. Recent Developments
    • 10.9.5. Cegid Group
      • 10.9.5.1. Participant's Overview
      • 10.9.5.2. Financial Performance
      • 10.9.5.3. Product Benchmarking
      • 10.9.5.4. Recent Developments
    • 10.9.6. Cornerstone OnDemand Inc.
      • 10.9.6.1. Participant's Overview
      • 10.9.6.2. Financial Performance
      • 10.9.6.3. Product Benchmarking
      • 10.9.6.4. Recent Developments
    • 10.9.7. Job Teaser
      • 10.9.7.1. Participant's Overview
      • 10.9.7.2. Financial Performance
      • 10.9.7.3. Product Benchmarking
      • 10.9.7.4. Recent Developments
    • 10.9.8. Phenom People Inc.
      • 10.9.8.1. Participant's Overview
      • 10.9.8.2. Financial Performance
      • 10.9.8.3. Product Benchmarking
      • 10.9.8.4. Recent Developments
    • 10.9.9. Smart Recruiters
      • 10.9.9.1. Participant's Overview
      • 10.9.9.2. Financial Performance
      • 10.9.9.3. Product Benchmarking
      • 10.9.9.4. Recent Developments
    • 10.9.10. Harver B.V.
      • 10.9.10.1. Participant's Overview
      • 10.9.10.2. Financial Performance
      • 10.9.10.3. Product Benchmarking
      • 10.9.10.4. Recent Developments
    • 10.9.11. Eightfold AI
      • 10.9.11.1. Participant's Overview
      • 10.9.11.2. Financial Performance
      • 10.9.11.3. Product Benchmarking
      • 10.9.11.4. Recent Developments
    • 10.9.12. Simpplr
      • 10.9.12.1. Participant's Overview
      • 10.9.12.2. Financial Performance
      • 10.9.12.3. Product Benchmarking
      • 10.9.12.4. Recent Developments
    • 10.9.13. Beamery Inc.
      • 10.9.13.1. Participant's Overview
      • 10.9.13.2. Financial Performance
      • 10.9.13.3. Product Benchmarking
      • 10.9.13.4. Recent Developments
    • 10.9.14. HireVue Inc.
      • 10.9.14.1. Participant's Overview
      • 10.9.14.2. Financial Performance
      • 10.9.14.3. Product Benchmarking
      • 10.9.14.4. Recent Developments
    • 10.9.15. Jobvite Inc.
      • 10.9.15.1. Participant's Overview
      • 10.9.15.2. Financial Performance
      • 10.9.15.3. Product Benchmarking
      • 10.9.15.4. Recent Developments
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