On Nov 27, the latest report "Global AI Recruiting Platform Market 2025 by Manufacturers, Regions, Types and Applications, Forecast to 2031" from Global Info Research provides a detailed and comprehensive analysis of the global AI Recruiting Platform market. The report provides both quantitative and qualitative analysis by manufacturers, regions and countries, types and applications. As the market is constantly changing, this report explores market competition, supply and demand trends, and key factors that are causing many market demand changes. The report also provides company profiles and product examples of some of the competitors, as well as market share estimates for some of the leading players in 2025.
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According to our (Global Info Research) latest study, the global AI Recruiting Platform market size was valued at US$ 701 million in 2024 and is forecast to a readjusted size of USD 1196 million by 2031 with a CAGR of 7.9% during review period. An AI recruiting platform is a technology-driven system that utilizes artificial intelligence and machine learning algorithms to streamline and enhance the recruitment process. These platforms are designed to assist recruiters and human resources professionals in various tasks associated with finding, evaluating, and hiring candidates. By leveraging AI technologies, recruiting platforms aim to make the hiring process faster, more efficient, and less biased, ultimately leading to better talent acquisition outcomes for organizations. AI recruiting platforms symbolize the future of talent acquisition, balancing efficiency with improved candidate experiences. As these technologies evolve, organizations should remain proactive in addressing ethical considerations and fostering a collaborative environment where human insight complements AI-driven solutions. By doing so, they can harness the full potential of AI in the recruitment landscape, resulting in stronger teams and sustained organizational growth. This report is a detailed and comprehensive analysis for global AI Recruiting Platform market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approval. AI Recruiting Platform market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type: Resume Screening、 Talent Matching、 Interview Assistance Market segment by Application: Enterprises、 Job Seekers、 Human Resources Service Agencies Major players covered: Beijing Oxcoder Science and Technology、 Iflytek、 Shanghai Jinyu Intelligent Technology、 Hiring Cloud (Shanghai) Intelligent Technology、 YS Group、 Beijing Sirius Technology、 Zoho Recruit、 MoSeeker、 Rolebot、 AI Geometric、 Emi Labs、 Mercor、 Vahan.ai、 Recruiter.com、 hireEZ、 Baidu
The content of the study subjects, includes a total of 15 chapters: Chapter 1, to describe AI Recruiting Platform product scope, market overview, market estimation caveats and base year. Chapter 2, to profile the top manufacturers of AI Recruiting Platform, with price, sales quantity, revenue, and global market share of AI Recruiting Platform from 2020 to 2025. Chapter 3, the AI Recruiting Platform competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast. Chapter 4, the AI Recruiting Platform breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2020 to 2031. Chapter 5 and 6, to segment AI Recruiting Platform the sales by Type and by Application, with sales market share and growth rate by Type, by Application, from 2020 to 2031. Chapter 7, 8, 9, 10 and 11, to break the AI Recruiting Platform sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2020 to 2024.and AI Recruiting Platform market forecast, by regions, by Type, and by Application, with sales and revenue, from 2025 to 2031. Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis. Chapter 13, the key raw materials and key suppliers, and industry chain of AI Recruiting Platform. Chapter 14 and 15, to describe AI Recruiting Platform sales channel, distributors, customers, research findings and conclusion.
The Primary Objectives in This Report Are: To determine the size of the total market opportunity of global and key countries To assess the growth potential for AI Recruiting Platform To forecast future growth in each product and end-use market To assess competitive factors affecting the marketplace
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