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市场调查报告书

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1401294

全球人工智慧招募市场 - 2023-2030

Global AI Recruitment Market - 2023-2030

出版日期: 2023年12月29日 | 出版商:

DataM Intelligence | 英文 218 Pages | 商品交期: 最快1-2个工作天内

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简介目录

概述

2022年，全球人工智慧招募市场规模达到6.054亿美元，预计2030年将达到10.191亿美元，2023-2030年预测期间CAGR为6.7%。

市场上人工智慧招聘解决方案和服务的不断增加有助于推动市场成长。 2023 年 9 月 20 日，InCruiter 推出了 InCBot，这是一种人工智慧面试解决方案，可实现更聪明、公正的招募。它有助于增强候选人体验、进行单向视讯面试并确保顶尖人才。 InCBot 24/7 无缝地进行跨角色、行业和经验水平的面试，同时为候选人和雇主提供即时回馈、建议和见解，从而将面试体验提升到前所未有的水平。

人工智慧招募工具利用资料分析和预测模型来提供招募趋势和招募结果的见解。数据驱动的方法使组织能够做出明智的决策并不断优化其招募策略。人工智慧演算法分析大型数据集，以识别技能和资格与工作要求密切匹配的候选人。这样可以更准确、更有效率地筛选候选人，提升招募品质。

由于远距工作的兴起增加了对虚拟招聘解决方案的需求，北美在人工智慧招聘市场中占据了最大的市场份额。人工智慧招聘解决方案和软体的日益普及有助于推动预测期内区域市场的成长。

例如，2023 年 11 月 16 日，TD SYNNEX 技术方向报告显示，北美通路合作伙伴专注于透过投资和技能获取来扩展资料分析、人工智慧 (AI) 和网路安全等高成长技术能力。根据MS Power User 2023年的资料，在美国，83%的公司在人力资源方面采用了人工智慧。

动力学

全球自动化招募流程需求不断成长

在人工智慧招募工具的推动下，自动化招募流程显着减少了招募各个阶段所需的时间和精力。对于希望简化招募工作流程并快速填补职缺的组织来说，效率至关重要。如今，由于数位化的发展，招聘资讯吸引了大量的申请。自动化系统可有效处理大量履历和候选人资料，确保招募人员专注于招募流程中更具策略性的方面。

根据Talent Alpha Sp. 给出的资料。 Zoo 在 2022 年进行的一项调查显示，67% 的招募专业人士认为人工智慧对招募有正面影响，而不仅仅是削减成本。五分之四的受访者认为人工智慧很快就会变得如此先进，以至于这些程式将处理关键的招聘和解僱决策。 68% 的人力资源专业人士对人工智慧更加公正、机会更加平等寄予厚望。

技术进步

机器学习演算法增强了人工智慧招募工具的智慧和学习能力。这些演算法分析大量资料集来识别模式、预测候选人成功并不断提高候选人匹配的准确性。预测分析使用历史资料来预测未来趋势和结果。在人工智慧招募的背景下，预测分析可以帮助组织就候选人搜寻、招募策略和劳动力规划做出明智的决策。

疫情加速了人力资源产业的技术进步和数位化。招募越来越依赖软体和演算法。根据Talent Alpha Sp. 给出的资料。到 2022 年，全球一半的公司决定增加 2022 年技术支出，其中 84% 的公司製定了数位化计画。组织在自动化方面投入更多，以促进采购流程。难怪 53% 的专业人士的技术突破将成为塑造未来工作的最重要因素。 38% 的雇主正在投资新的招募技术。

缺乏人际互动，意识低下

候选人通常喜欢在招募过程中进行人际互动。缺乏人际互动可能会导致人们担心缺乏同理心、理解力以及解决候选人个人资料或情况的细微差别的能力。招募人员与候选人建立信任和关係，这对雇主品牌和长期员工满意度至关重要。仅依靠人工智慧可能被认为是非人性化的，并且在建立这些联繫方面效率较低。

人工智慧招募工具发展的一个重大障碍是组织和人力资源专业人员对这些技术的功能和优势缺乏认识。由于对未知事物的恐惧或对工作流失的担忧，这可能会导致人们抵制采用人工智慧工具。认知度低可能导致人工智慧工具的实施无效。组织可能无法充分利用人工智慧招募解决方案的特性和功能，这限制了其对效率和决策的影响。

The growing availability of AI recruitment solutions and services in the market helps to boost the market growth. On September 20, 2023, InCruiter launched InCBot, an AI interview solution for smarter and unbiased hiring. It helps to enhance candidate experiences, conduct one-way video interviews and secure top-tier talent. InCBot seamlessly conducts interviews 24/7 across various roles, industries and experience levels, while providing real-time feedback, suggestions and insights to both candidates and employers, thereby elevating the interview experience to an unprecedented level.

AI recruitment tools leverage data analytics and predictive modeling to provide insights into recruitment trends and hiring outcomes. The data-driven approach enables organizations to make informed decisions and continuously optimize their recruitment strategies. AI algorithms analyze large datasets to identify candidates whose skills and qualifications closely match the job requirements. The results in more accurate and efficient candidate shortlisting, improving the quality of hires.

North America accounted largest market share in the AI Recruitment market due to the rise of remote work has increased the demand for virtual hiring solutions. Growing adoption of AI recruitment solutions and software helps to boost regional market growth over the forecast period.

For instance, on November 16, 2023, TD SYNNEX Direction of Technology Report showed that channel partners in North America are focused on expanding their high-growth technology capabilities like data analytics, artificial intelligence (AI) and cybersecurity through both investment and skill acquisition. According to the data given by MS Power User in 2023, in United States, 83% of companies have adopted AI in HR.

Dynamics

Rising Demand of Automated Hiring Process Globally

Automated hiring processes, facilitated by AI recruitment tools, significantly reduce the time and effort required for various stages of recruitment. The efficiency is crucial for organizations looking to streamline their hiring workflows and fill positions quickly. Nowadays job postings attract a large number of applications due to growing digitalization. Automated systems efficiently handle high volumes of resumes and candidate data, ensuring that recruiters focus on more strategic aspects of the hiring process.

According to the data given by Talent Alpha Sp. z.o.o a Survey in 2022, 67% of recruitment professionals believe that AI has a positive impact on hiring and not just in cutting costs. 4 out of 5 of those surveyed believe that AI will soon be so advanced that these programs will handle key hiring and firing decisions. 68% of HR professionals have high hopes that AI will be more bias-free and enable more equal opportunities.

Technological Advancements

Machine learning algorithms power the intelligence and learning capabilities of AI recruitment tools. The algorithms analyze vast datasets to identify patterns, predict candidate success and continuously improve the accuracy of candidate matching. Predictive analytics uses historical data to forecast future trends and outcomes. In the context of AI recruitment, predictive analytics helps organizations make informed decisions about candidate sourcing, hiring strategies and workforce planning.

The pandemic has accelerated the technological advancement in the HR industry as well as its digitalization. Hiring has become increasingly dependent on software and algorithms. According to the data given by Talent Alpha Sp. z.o.o in 2022, half of companies globally have decided to increase spending on technology 2022 and 84% of them have a plan for digitalization. Organizations invested significantly more in automation to foster sourcing processes. It's little wonder then that technology breakthroughs for 53% of professionals will be the most significant factor in shaping the future of work. 38% of employers are investing in new hiring technologies.

Lack of Human Interaction and Low Awareness

Candidates often appreciate personal interaction during the hiring process. The absence of human interaction can lead to concerns about a lack of empathy, understanding and the ability to address nuanced aspects of a candidate's profile or situation. Human recruiters build trust and relationships with candidates, which is crucial for employer branding and long-term employee satisfaction. Relying solely on AI may be perceived as impersonal and less effective in building these connections.

A significant barrier to the growth of AI recruitment tools is the lack of awareness among organizations and HR professionals about the capabilities and benefits of these technologies. The can lead to resistance to adopting AI tools due to fear of the unknown or concerns about job displacement. Low awareness can result in the ineffective implementation of AI tools. Organizations may not fully utilize the features and functionalities of AI recruitment solutions, limiting their impact on efficiency and decision-making.

Segment Analysis

The global AI Recruitment market is segmented based on product, application, end-user and region.

Growing Adoption of AI Recruitment Solutions in the Various Industries

Based on the product, the AI recruitment market is divided into solutions and services. AI recruitment solutions segment is growing over the forecast period 2023-2030 due to its growing efficiency and time savings. AI recruitment solutions automate and streamline various aspects of the hiring process, saving time for recruiters and HR professionals. Automated resume screening, candidate matching and scheduling significantly reduce the time spent on repetitive tasks.

The growing availability of AI recruitment solutions in the market helps to boost segment growth. For instance, on August 09, 2023, Harver launched an AI-powered Harver CHAT solution to optimize candidate engagement in hiring. It is designed to automate and streamline the application experience for candidates while boosting the employer brand. The newly launched AI chat solution replaces the need for application forms by engaging candidates with always-on messaging.

Geographical Penetration

Growing Early Adoption of AI in North America

North America accounted for the largest market share in the global AI recruitment market due to the rapid adoption of Artificial Intelligence. The growing number of tech giants and startups that actively invest in and develop AI technologies, including those related to recruitment. North America boasts a well-established and robust IT infrastructure. The infrastructure supports the implementation and integration of AI recruitment tools and platforms into existing systems, making it easier for companies to adopt and utilize these technologies.

Major key players in the region launched new products for AI recruitment that help boost the regional market growth of the global AI recruitment market. For instance, on April 05, 2023, Comeet, a leading provider of collaborative recruiting software launched its new AI Assistant, designed to enable better hiring decisions and improve candidate experience and promote diversity and inclusion.

Competitive Landscape

The major global players in the market include SAP SE, Zoho Corporation, Google LLC, IBM Corporation oracle Corporation, Automatic Data Processing, LCC, Ultimate Software, SmartRecruiters, Jobvite and CVViZ Softwares Pvt Ltd.

COVID-19 Impact Analysis

The pandemic accelerated the adoption of remote work, leading to increased demand for virtual recruitment solutions. AI tools that facilitate remote hiring processes, such as video interviews, virtual assessments and automated screening, became more crucial. The economic impact of the pandemic resulted in fluctuations in the job market. Some industries experienced a surge in hiring (e.g., healthcare, e-commerce), while others faced significant challenges (e.g., hospitality, travel). AI recruitment platforms had to adapt to changing demand and market dynamics.

With disruptions to traditional recruitment processes organizations sought efficiency through automation. AI-powered tools helped streamline workflows, automate repetitive tasks and manage large volumes of applications efficiently. The pandemic prompted shifts in the skills demanded by employers. AI tools that assist in skill assessments and identify relevant candidate skills became more critical. Additionally, there was an increased focus on reskilling and upskilling programs and AI could play a role in identifying training needs.

Russia-Ukraine War Impact Analysis

Geopolitical events, especially conflicts lead to economic uncertainty. Businesses become more cautious about their investments, including spending on technologies such as AI recruitment tools. War or geopolitical tensions contribute to market volatility, impacting investor confidence and corporate decision-making. Companies delay or scale back their technology investments in such uncertain environments. The conflict leads to disruptions in the global supply chain, it affects the production and availability of hardware components and infrastructure necessary for AI technologies.

Geopolitical events influence the movement of talent across borders. Changes in immigration policies or security concerns affect the ability of companies to attract and retain skilled AI professionals. Companies reassess their global strategies and focus on regions that are perceived as more stable. The led to changes in demand for AI recruitment solutions in different geographic areas. Governments introduce new policies and regulations in response to geopolitical events. Changes in regulatory environments impact the development, deployment and use of AI technologies in recruitment.

By Product

Solution
Services

By Application

Process automation
Campaigning
Candidate screening
Candidate communication
Others

By End-User

Retail and ecommerce
Banking, financial and insurance
Healthcare
Hospitality
Energy
Government
Enterprise
Manufacturing
Others

By Region

North America
- U.S.
- Canada
- Mexico
Europe
- Germany
- UK
- France
- Italy
- Spain
- Rest of Europe
South America
- Brazil
- Argentina
- Rest of South America
Asia-Pacific
- China
- India
- Japan
- Australia
- Rest of Asia-Pacific
Middle East and Africa

Key Developments

On December 05, 2023, RedNevada. AI the leading provider of AI-enabled software launched RAI, the most comprehensive and advanced recruitment and resourcing co-pilot solution in the market. The tool was extensively tested with a wide range of pilot customers across multiple geographies and industries to ensure efficiency and cost saving and that it properly assisted the people who will directly benefit from a toolset such as RAI.
On October 09, 2023, Kelly Arc, a new online recruitment platform launched a recruitment platform for AI and automation talent. The AI tool closes the gap by connecting top talent, such as developers, analysts and project managers, with pioneering jobs.
On October 30, 2023, India Quotient-backed edtech startup Masai School launched an artificial intelligence (AI)-powered platform for job seekers and recruiters. It helps job-seekers find relevant listings after a detailed competency assessment with the help of 90-minute interviews with tech leads in Indian companies.

Why Purchase the Report?

To visualize the global AI recruitment market segmentation based on product, application, end-user and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of AI recruitment market-level with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as excel consisting of key products of all the major players.

The global AI recruitment market report would provide approximately 61 tables, 64 figures and 218 Pages.

Target Audience 2023

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Product
3.2. Snippet by Application
3.3. Snippet by End-User
3.4. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Rising Demand of Automated Hiring Process Globally
  - 4.1.1.2. Technological Advancements
- 4.1.2. Restraints
  - 4.1.2.1. Lack of Human Interaction and Low Awareness
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID
- 6.1.2. Scenario During COVID
- 6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Product

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
- 7.1.2. Market Attractiveness Index, By Product
7.2. Solution*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Services

8. By Application

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 8.1.2. Market Attractiveness Index, By Application
8.2. Process Automation*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Campaigning
8.4. Candidate screening
8.5. Candidate communication
8.6. Others

9. By End-User

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 9.1.2. Market Attractiveness Index, By End-User
9.2. Retail and E-commerce*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Banking, financial and insurance
9.4. Healthcare
9.5. Hospitality
9.6. Energy
9.7. Government
9.8. Enterprise
9.9. Manufacturing
9.10. Others

10. By Region

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 10.1.2. Market Attractiveness Index, By Region
10.2. North America
- 10.2.1. Introduction
- 10.2.2. Key Region-Specific Dynamics
- 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
- 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.2.6.1. U.S.
  - 10.2.6.2. Canada
  - 10.2.6.3. Mexico
10.3. Europe
- 10.3.1. Introduction
- 10.3.2. Key Region-Specific Dynamics
- 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
- 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.3.6.1. Germany
  - 10.3.6.2. UK
  - 10.3.6.3. France
  - 10.3.6.4. Italy
  - 10.3.6.5. Spain
  - 10.3.6.6. Rest of Europe
10.4. South America
- 10.4.1. Introduction
- 10.4.2. Key Region-Specific Dynamics
- 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
- 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.4.6.1. Brazil
  - 10.4.6.2. Argentina
  - 10.4.6.3. Rest of South America
10.5. Asia-Pacific
- 10.5.1. Introduction
- 10.5.2. Key Region-Specific Dynamics
- 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
- 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.5.6.1. China
  - 10.5.6.2. India
  - 10.5.6.3. Japan
  - 10.5.6.4. Australia
  - 10.5.6.5. Rest of Asia-Pacific
10.6. Middle East and Africa
- 10.6.1. Introduction
- 10.6.2. Key Region-Specific Dynamics
- 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
- 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

11. Competitive Landscape

11.1. Competitive Scenario
11.2. Market Positioning/Share Analysis
11.3. Mergers and Acquisitions Analysis

12. Company Profiles

12.1. SAP SE*
- 12.1.1. Company Overview
- 12.1.2. Product Portfolio and Description
- 12.1.3. Financial Overview
- 12.1.4. Key Developments
12.2. Zoho Corporation
12.3. Google LLC
12.4. IBM Corporation
12.5. Oracle Corporation
12.6. Automatic Data Processing, LCC
12.7. Ultimate Software
12.8. SmartRecruiters
12.9. Jobvite
12.10. CVViZ Softwares Pvt Ltd

LIST NOT EXHAUSTIVE