Global AI in Human Resources Supply, Demand and Key Producers, 2024-2030

Publication ID:

GIR032416961

Publication Date:

April 9, 2024

Pages:

112

Publisher:

GIR

Countries:

Global [1]

USD 4,480.00

Software [2]

IT Services [3]

Computing & Electronics [4]

Description:

The global AI in Human Resources market size is expected to reach $ million by 2030, rising at a market growth of % CAGR during the forecast period (2024-2030).
Artificial Intelligence (AI) has been increasingly utilized in various aspects of Human Resources (HR) management to streamline processes, enhance decision-making, and improve overall efficiency.
This report studies the global AI in Human Resources demand, key companies, and key regions.
This report is a detailed and comprehensive analysis of the world market for AI in Human Resources, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2023 as the base year. This report explores demand trends and competition, as well as details the characteristics of AI in Human Resources that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global AI in Human Resources total market, 2019-2030, (USD Million)
Global AI in Human Resources total market by region & country, CAGR, 2019-2030, (USD Million)
U.S. VS China: AI in Human Resources total market, key domestic companies and share, (USD Million)
Global AI in Human Resources revenue by player and market share 2019-2024, (USD Million)
Global AI in Human Resources total market by Type, CAGR, 2019-2030, (USD Million)
Global AI in Human Resources total market by Application, CAGR, 2019-2030, (USD Million).
This reports profiles major players in the global AI in Human Resources market based on the following parameters 鈥� company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IBM, Oracle, SAP, Workday, ADP, HireVue, Cornerstone OnDemand, Greenhouse and Textio, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World AI in Human Resources market.
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2019-2030 by year with 2023 as the base year, 2024 as the estimate year, and 2025-2030 as the forecast year.
Global AI in Human Resources 麻豆原创, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global AI in Human Resources 麻豆原创, Segmentation by Type
On-cloud
On-Primise
Global AI in Human Resources 麻豆原创, Segmentation by Application
Large Enterprises
SMEs
Companies Profiled:
IBM
Oracle
SAP
Workday
ADP
HireVue
Cornerstone OnDemand
Greenhouse
Textio
Pymetrics
AWS
Key Questions Answered
1. How big is the global AI in Human Resources market?
2. What is the demand of the global AI in Human Resources market?
3. What is the year over year growth of the global AI in Human Resources market?
4. What is the total value of the global AI in Human Resources market?
5. Who are the major players in the global AI in Human Resources market?

Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.

Table Of Contents:

1 Supply Summary
1.1 AI in Human Resources Introduction
1.2 World AI in Human Resources 麻豆原创 Size & Forecast (2019 & 2023 & 2030)
1.3 World AI in Human Resources Total 麻豆原创 by Region (by Headquarter Location)
1.3.1 World AI in Human Resources 麻豆原创 Size by Region (2019-2030), (by Headquarter Location)
1.3.2 United States AI in Human Resources 麻豆原创 Size (2019-2030)
1.3.3 China AI in Human Resources 麻豆原创 Size (2019-2030)
1.3.4 Europe AI in Human Resources 麻豆原创 Size (2019-2030)
1.3.5 Japan AI in Human Resources 麻豆原创 Size (2019-2030)
1.3.6 South Korea AI in Human Resources 麻豆原创 Size (2019-2030)
1.3.7 ASEAN AI in Human Resources 麻豆原创 Size (2019-2030)
1.3.8 India AI in Human Resources 麻豆原创 Size (2019-2030)
1.4 麻豆原创 Drivers, Restraints and Trends
1.4.1 AI in Human Resources 麻豆原创 Drivers
1.4.2 Factors Affecting Demand
1.4.3 AI in Human Resources Major 麻豆原创 Trends
2 Demand Summary
2.1 World AI in Human Resources Consumption Value (2019-2030)
2.2 World AI in Human Resources Consumption Value by Region
2.2.1 World AI in Human Resources Consumption Value by Region (2019-2024)
2.2.2 World AI in Human Resources Consumption Value Forecast by Region (2025-2030)
2.3 United States AI in Human Resources Consumption Value (2019-2030)
2.4 China AI in Human Resources Consumption Value (2019-2030)
2.5 Europe AI in Human Resources Consumption Value (2019-2030)
2.6 Japan AI in Human Resources Consumption Value (2019-2030)
2.7 South Korea AI in Human Resources Consumption Value (2019-2030)
2.8 ASEAN AI in Human Resources Consumption Value (2019-2030)
2.9 India AI in Human Resources Consumption Value (2019-2030)
3 World AI in Human Resources Companies Competitive Analysis
3.1 World AI in Human Resources Revenue by Player (2019-2024)
3.2 Industry Rank and Concentration Rate (CR)
3.2.1 Global AI in Human Resources Industry Rank of Major Players
3.2.2 Global Concentration Ratios (CR4) for AI in Human Resources in 2023
3.2.3 Global Concentration Ratios (CR8) for AI in Human Resources in 2023
3.3 AI in Human Resources Company Evaluation Quadrant
3.4 AI in Human Resources 麻豆原创: Overall Company Footprint Analysis
3.4.1 AI in Human Resources 麻豆原创: Region Footprint
3.4.2 AI in Human Resources 麻豆原创: Company Product Type Footprint
3.4.3 AI in Human Resources 麻豆原创: Company Product Application Footprint
3.5 Competitive Environment
3.5.1 Historical Structure of the Industry
3.5.2 Barriers of 麻豆原创 Entry
3.5.3 Factors of Competition
3.6 Mergers, Acquisitions Activity
4 United States VS China VS Rest of the World (by Headquarter Location)
4.1 United States VS China: AI in Human Resources Revenue Comparison (by Headquarter Location)
4.1.1 United States VS China: AI in Human Resources 麻豆原创 Size Comparison (2019 & 2023 & 2030) (by Headquarter Location)
4.1.2 United States VS China: AI in Human Resources Revenue 麻豆原创 Share Comparison (2019 & 2023 & 2030)
4.2 United States Based Companies VS China Based Companies: AI in Human Resources Consumption Value Comparison
4.2.1 United States VS China: AI in Human Resources Consumption Value Comparison (2019 & 2023 & 2030)
4.2.2 United States VS China: AI in Human Resources Consumption Value 麻豆原创 Share Comparison (2019 & 2023 & 2030)
4.3 United States Based AI in Human Resources Companies and 麻豆原创 Share, 2019-2024
4.3.1 United States Based AI in Human Resources Companies, Headquarters (States, Country)
4.3.2 United States Based Companies AI in Human Resources Revenue, (2019-2024)
4.4 China Based Companies AI in Human Resources Revenue and 麻豆原创 Share, 2019-2024
4.4.1 China Based AI in Human Resources Companies, Company Headquarters (Province, Country)
4.4.2 China Based Companies AI in Human Resources Revenue, (2019-2024)
4.5 Rest of World Based AI in Human Resources Companies and 麻豆原创 Share, 2019-2024
4.5.1 Rest of World Based AI in Human Resources Companies, Headquarters (States, Country)
4.5.2 Rest of World Based Companies AI in Human Resources Revenue, (2019-2024)
5 麻豆原创 Analysis by Type
5.1 World AI in Human Resources 麻豆原创 Size Overview by Type: 2019 VS 2023 VS 2030
5.2 Segment Introduction by Type
5.2.1 On-cloud
5.2.2 On-Primise
5.3 麻豆原创 Segment by Type
5.3.1 World AI in Human Resources 麻豆原创 Size by Type (2019-2024)
5.3.2 World AI in Human Resources 麻豆原创 Size by Type (2025-2030)
5.3.3 World AI in Human Resources 麻豆原创 Size 麻豆原创 Share by Type (2019-2030)
6 麻豆原创 Analysis by Application
6.1 World AI in Human Resources 麻豆原创 Size Overview by Application: 2019 VS 2023 VS 2030
6.2 Segment Introduction by Application
6.2.1 Large Enterprises
6.2.2 SMEs
6.3 麻豆原创 Segment by Application
6.3.1 World AI in Human Resources 麻豆原创 Size by Application (2019-2024)
6.3.2 World AI in Human Resources 麻豆原创 Size by Application (2025-2030)
6.3.3 World AI in Human Resources 麻豆原创 Size by Application (2019-2030)
7 Company Profiles
7.1 IBM
7.1.1 IBM Details
7.1.2 IBM Major Business
7.1.3 IBM AI in Human Resources Product and Services
7.1.4 IBM AI in Human Resources Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.1.5 IBM Recent Developments/Updates
7.1.6 IBM Competitive Strengths & Weaknesses
7.2 Oracle
7.2.1 Oracle Details
7.2.2 Oracle Major Business
7.2.3 Oracle AI in Human Resources Product and Services
7.2.4 Oracle AI in Human Resources Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.2.5 Oracle Recent Developments/Updates
7.2.6 Oracle Competitive Strengths & Weaknesses
7.3 SAP
7.3.1 SAP Details
7.3.2 SAP Major Business
7.3.3 SAP AI in Human Resources Product and Services
7.3.4 SAP AI in Human Resources Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.3.5 SAP Recent Developments/Updates
7.3.6 SAP Competitive Strengths & Weaknesses
7.4 Workday
7.4.1 Workday Details
7.4.2 Workday Major Business
7.4.3 Workday AI in Human Resources Product and Services
7.4.4 Workday AI in Human Resources Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.4.5 Workday Recent Developments/Updates
7.4.6 Workday Competitive Strengths & Weaknesses
7.5 ADP
7.5.1 ADP Details
7.5.2 ADP Major Business
7.5.3 ADP AI in Human Resources Product and Services
7.5.4 ADP AI in Human Resources Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.5.5 ADP Recent Developments/Updates
7.5.6 ADP Competitive Strengths & Weaknesses
7.6 HireVue
7.6.1 HireVue Details
7.6.2 HireVue Major Business
7.6.3 HireVue AI in Human Resources Product and Services
7.6.4 HireVue AI in Human Resources Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.6.5 HireVue Recent Developments/Updates
7.6.6 HireVue Competitive Strengths & Weaknesses
7.7 Cornerstone OnDemand
7.7.1 Cornerstone OnDemand Details
7.7.2 Cornerstone OnDemand Major Business
7.7.3 Cornerstone OnDemand AI in Human Resources Product and Services
7.7.4 Cornerstone OnDemand AI in Human Resources Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.7.5 Cornerstone OnDemand Recent Developments/Updates
7.7.6 Cornerstone OnDemand Competitive Strengths & Weaknesses
7.8 Greenhouse
7.8.1 Greenhouse Details
7.8.2 Greenhouse Major Business
7.8.3 Greenhouse AI in Human Resources Product and Services
7.8.4 Greenhouse AI in Human Resources Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.8.5 Greenhouse Recent Developments/Updates
7.8.6 Greenhouse Competitive Strengths & Weaknesses
7.9 Textio
7.9.1 Textio Details
7.9.2 Textio Major Business
7.9.3 Textio AI in Human Resources Product and Services
7.9.4 Textio AI in Human Resources Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.9.5 Textio Recent Developments/Updates
7.9.6 Textio Competitive Strengths & Weaknesses
7.10 Pymetrics
7.10.1 Pymetrics Details
7.10.2 Pymetrics Major Business
7.10.3 Pymetrics AI in Human Resources Product and Services
7.10.4 Pymetrics AI in Human Resources Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.10.5 Pymetrics Recent Developments/Updates
7.10.6 Pymetrics Competitive Strengths & Weaknesses
7.11 AWS
7.11.1 AWS Details
7.11.2 AWS Major Business
7.11.3 AWS AI in Human Resources Product and Services
7.11.4 AWS AI in Human Resources Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.11.5 AWS Recent Developments/Updates
7.11.6 AWS Competitive Strengths & Weaknesses
8 Industry Chain Analysis
8.1 AI in Human Resources Industry Chain
8.2 AI in Human Resources Upstream Analysis
8.3 AI in Human Resources Midstream Analysis
8.4 AI in Human Resources Downstream Analysis
9 Research Findings and Conclusion
10 Appendix
10.1 Methodology
10.2 Research Process and Data Source
10.3 Disclaimer

Companies Mentioned:

IBM
Oracle
SAP
Workday
ADP
HireVue
Cornerstone OnDemand
Greenhouse
Textio
Pymetrics
AWS

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