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市場調查報告書

商品編碼

1401294

全球人工智慧招募市場 - 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個工作天內

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簡介目錄

概述

2022年，全球人工智慧招募市場規模達到6.054億美元，預計2030年將達到10.191億美元，2023-2030年預測期間CAGR為6.7%。

市場上人工智慧招聘解決方案和服務的不斷增加有助於推動市場成長。 2023 年 9 月 20 日，InCruiter 推出了 InCBot，這是一種人工智慧面試解決方案，可實現更聰明、公正的招募。它有助於增強候選人體驗、進行單向視訊面試並確保頂尖人才。 InCBot 24/7 無縫地進行跨角色、行業和經驗水平的面試，同時為候選人和雇主提供即時回饋、建議和見解，從而將面試體驗提升到前所未有的水平。

人工智慧招募工具利用資料分析和預測模型來提供招募趨勢和招募結果的見解。數據驅動的方法使組織能夠做出明智的決策並不斷最佳化其招募策略。人工智慧演算法分析大型資料集，以識別技能和資格與工作要求密切匹配的候選人。這樣可以更準確、更有效率地篩選候選人，提升招募品質。

由於遠距工作的興起增加了對虛擬招聘解決方案的需求，北美在人工智慧招聘市場中佔據了最大的市場佔有率。人工智慧招聘解決方案和軟體的日益普及有助於推動預測期內區域市場的成長。

例如，2023 年 11 月 16 日，TD SYNNEX 技術方向報告顯示，北美通路合作夥伴專注於透過投資和技能獲取來擴展資料分析、人工智慧 (AI) 和網路安全等高成長技術能力。根據MS Power User 2023年的資料，在美國，83%的公司在人力資源方面採用了人工智慧。

動力學

全球自動化招募流程需求不斷成長

在人工智慧招募工具的推動下，自動化招募流程顯著減少了招募各個階段所需的時間和精力。對於希望簡化招募工作流程並快速填補職缺的組織來說，效率至關重要。如今，由於數位化的發展，招聘資訊吸引了大量的申請。自動化系統可有效處理大量履歷和候選人資料，確保招募人員專注於招募流程中更具策略性的方面。

根據Talent Alpha Sp. 給出的資料。 Zoo 在 2022 年進行的一項調查顯示，67% 的招募專業人士認為人工智慧對招募有正面影響，而不僅僅是削減成本。五分之四的受訪者認為人工智慧很快就會變得如此先進，以至於這些程式將處理關鍵的招聘和解僱決策。 68% 的人力資源專業人士對人工智慧更加公正、機會更加平等寄予厚望。

技術進步

機器學習演算法增強了人工智慧招募工具的智慧和學習能力。這些演算法分析大量資料集來識別模式、預測候選人成功並不斷提高候選人匹配的準確性。預測分析使用歷史資料來預測未來趨勢和結果。在人工智慧招募的背景下，預測分析可以幫助組織就候選人搜尋、招募策略和勞動力規劃做出明智的決策。

疫情加速了人力資源產業的技術進步和數位化。招募越來越依賴軟體和演算法。根據Talent Alpha Sp. 給出的資料。到 2022 年，全球一半的公司決定增加 2022 年技術支出，其中 84% 的公司製定了數位化計畫。組織在自動化方面投入更多，以促進採購流程。難怪 53% 的專業人士的技術突破將成為塑造未來工作的最重要因素。 38% 的雇主正在投資新的招募技術。

缺乏人際互動，意識低下

候選人通常喜歡在招募過程中進行人際互動。缺乏人際互動可能會導致人們擔心缺乏同理心、理解力以及解決候選人個人資料或情況的細微差別的能力。招募人員與候選人建立信任和關係，這對雇主品牌和長期員工滿意度至關重要。僅依靠人工智慧可能被認為是非人性化的，並且在建立這些聯繫方面效率較低。

人工智慧招募工具發展的一個重大障礙是組織和人力資源專業人員對這些技術的功能和優勢缺乏認知。由於對未知事物的恐懼或對工作流失的擔憂，這可能會導致人們抵制採用人工智慧工具。認知度低可能導致人工智慧工具的實施無效。組織可能無法充分利用人工智慧招募解決方案的特性和功能，這限制了其對效率和決策的影響。

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