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The structure of the market for AI recruitmen is now changing dramatically as more and more artificial intelligence technologies are integrated into hiring procedures. As organizations in different industries see the value of utilizing AI to simplify and improve recruitment, this has caused significant interest amongst solution providers. There is one major factor driving this market growth: the need to be efficient and precise in acquiring talent. With AI technologies, recruiters can easily scan massive amounts of data and pinpoint relevant candidate profiles to make decisions based on objective facts.
This also speeds up the recruiting process, and hires become more closely attuned to what an organization needs. In addition, the AI recruitment market is seeing a rise in machine learning adoption. Employing machine learning, recruiters can make better decisions and fully prepare for future human resources requirements. This predictive capability saves time and helps organizations to maintain a leading edge in getting top talent. Another trend in the AI recruitment market is integrating natural language processing (NLP). With NLP, machines can read and comprehend human language. This makes it easier to evaluate resumes, job descriptions or the communication between recruiters and applicants. This streamlines the hiring process and raises candidates 'involvement, making interactions more personalized and responsive. The trend of distributed work and the globalization of labor have also weighed on market dynamics for AI recruitment.
With organizations looking to recruit people worldwide, AI tools help find and assess candidates without the restriction of physical closeness. It's generated a more open-door approach to hiring, enabling companies to draw talent from all quarters and put together multifaceted dream teams. But the coming dependence on AI in recruitment is a tough assignment. Bias in algorithms and possible reinforcement of existing inequality are problems the industry must overcome. The ethical framing of the question about how to use AI in recruitment is becoming increasingly common, requiring organizations (large or small) that develop or apply their own recruiting tools and technologies to consider putting fairness atop design principles for applications.
Covered Aspects:
| Report Attribute/Metric | Details |
|---|---|
| Segment Outlook | Vertical Type, Deployment Type, Component, and Region |
AI Recruitment Market Highlights:
AI Recruitment Market Overview
AI Recruitment Market Size was valued at USD 577.7 Million in 2023. The AI Recruitment market industry is projected to grow from USD 617.5 Million in 2024 to USD 1,053.16 Million by 2032, exhibiting a compound annual growth rate (CAGR) of 6.9% during the forecast period (2024 - 2032). Screening high-quality candidates from unlimited databases, improving time and efficiency, and decreasing overall spending in companies’ HR budgets are the main reasons driving market growth.
Figure 1: AI Recruitment Market Size, 2023-2032 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
AI Recruitment Market Trends
Decreasing overall spending in companies’ HR budgets boosts market growth.
AI has become a part of everyone’s life in one way or another. It can be used in training machines through data labeling and developing AI pattern recognition for autonomous vehicles; AI has continued to match the human brain. Today, for example, with the help of video surveillance and deep learning, security systems worldwide can function better and more effectively.
AI plays a significant role in the overall recruitment process. It helps recruiters scan thousands of CVs using AI technologies, such as the Applicant Tracking System (ATS). In this way, recruiters can save time and fill the positions more quickly.
In many big companies, the recruiting process is automated and uses AI algorithms. These functions include initial screening to onboarding. Other AI tools, such as Bots, also can be said as robots, help set up interviews and easily respond to candidates’ questions. These bots use natural language processing (NLP) and interview analytics to assess candidates' suitability by skimming their soft skills and personality traits.
Figure 2: Average cost cut in HR process using AI, by Regions, 2022 %
 
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
The above figure shows that in North America, around 40% of the companies use AI in their recruitment process, followed by Europe. While in Asia Pacific, China, Japan, and South Korea are the major countries implementing this type of software in their HR processes. This implementation will be a boon for the SME sector, too, and will be the driving industrial segment for Ai recruitment.
AI Recruitment Market Segment Insight
AI Recruitment Verticals Type Insights
Based on verticals type, the AI Recruitment market segmentation includes Government, IT and Telecommunication, Healthcare, BFSI, Education, Enterprise, and Others. The enterprise segment accounted for the largest share of this market and is expected to grow at the fastest CAGR of 9.14% through the forecast period. The enterprise sector includes manufacturing, trading, and packaging, which heavily utilizes AI for hiring.
Figure 3: AI Recruitment Market, by Verticals, 2022 & 2030 (USD Million)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
Moreover, the BFSI segment is projected to grow at a CAGR of 6.17% through the forecast period. Due to the financial industry's day to day changing dynamics toward a better hiring process, it is challenging for banks to keep their employees informed about the recent changes in their systems and train each of them. These factors contribute to expanding the BFSI market, which raises the demand for AI in the recruiting sector.
On the other side, AI recruitment technology can benefit any business because it streamlines tasks and reduces costs. One factor driving demand is the requirement to automate the hiring procedure inside a business. Sales will result from adoption in the AI recruitment market.
AI Recruitment by Component Type Insights
The AI recruitment market is segmented into software and services based on component type. The software segment accounted for the largest share and is expected to grow at a CAGR of 6.72% through the forecast period. The AI recruitment market offers tremendous potential for growth. Technology development is a crucial driver of growth. Software is constantly being improved. In software, new features and programs are always being added. In the future, software for AI recruitment will have a lot of new functions. More consumers will visit the market as a result of all these improvements. The automated procedure increases candidate engagement during the hiring process by making the interview scheduling software more user-friendly. The demand for automated procedures expanded due to efficient software and systems implementation, thereby boosting the growth of the worldwide AI recruiting market. However, factors such as threats from open-source recruitment software may hinder the market growth.
However, the services category is also anticipated to grow the fastest during the forecast period. Moreover, this category will show significant growth due to the expanding demand for technological infrastructure and resource development. As they can guarantee high security with their deployment, many large organizations now prioritize the services market area. While the IT administration personnel in the firm control the AI in recruitment, no outside service providers are involved in maintaining companies’ private information. Moreover, businesses that have not yet switched to a cloud platform may find the services market segment particularly advantageous. Throughout the forecast period, artificial intelligence in the recruitment market will increase due to the benefits of the services segment.
February 2023: - VARs, systems integrators, and MSPs who can create high-performance AI, machine learning, and other solutions and services based on the Weka Data Platform are eligible for deal registration, training, certification, and other tools and advantages through the new Weka X Partner Program from WekaIO.
February 2023 - The end-to-end overseas recruiting platform hire EZ said today that its next March 9 product release would include generative AI features. The update will use hireEZ's machine learning data and the Generative Pre-trained Transformer 3 model to help recruiter draught and deliver emails to job candidates more quickly than with conventional methods. Â
AI Recruitment by Deployment Insights
The AI recruitment market is segmented into cloud and on-premises based on deployment type. The cloud segment dominates this market with a share of 67.2% and is also projected to witness growth opportunities with a CAGR of 6.81% in the upcoming years. Moreover, China, India, and Japan focus more on talent acquisition, intending to find highly qualified candidates whose abilities match the job description. The demand for AI recruiting technology has increased due to rising cloud-based service usage and national government initiatives to further digitization. The Asia Pacific AI Recruitment Market is expanding due to the increased demand for cloud-based AI recruiting solutions from SMEs in the region. The need for AI recruiting technology has increased due to the national government's measures to promote digitalization and the rising use of cloud-based services.
The on-premises category is expected to grow at the fastest CAGR due to in-house implementation by small firms. Occasionally, the pre-trained models or the computational or storage demands of the cloud might be improper or too expensive. An on-premises solution might be more appropriate in those circumstances. Also, a vast ecosystem of tools designed for on-premises environments can operate with enormous amounts of CPU power, which can be costly in the cloud. Some clients believe that doing this on-site is more cost-effective or favor a capital expense model over an operational expense one. Investing in on-premises infrastructure rather than using cloud-based services can make more sense if your company decides to get more involved in this or roll out AI at scale.
AI Recruitment Regional Insights
This market has been segmented by region into North America, Europe, Asia-Pacific, and the rest of the world. The North American region dominated this market with a share of 38.2% in 2022 and is expected to grow at a CAGR of 5.43% through the forecast period. American businesses quickly adopt AI-based machine learning technologies to guarantee the most efficient hiring procedure. Also, the expansion of IT businesses in the United States is fostering market expansion in this area. Innovative technologies like artificial intelligence and machine learning were initially applied in the US. Due to its advanced economic system, robust network infrastructure, and easy access to qualified specialists, China currently dominates the market, followed by Canada.
Furthermore, the Asia-Pacific region is also expected to hold the second-highest position in this market during the forecast period. This region has a large number of software vendors. Also, the variety of job duties fuels the expansion of the AI recruitment industry. Throughout the predicted period, this region will have the second-best profitability rate. Also, there are numerous software vendors in this area. The rise of the AI recruitment sector is also fueled by the diversity of job duties. Over the anticipated period, these areas will have the second-highest profitability rate.
Figure 4: AI RECRUITMENT MARKET, BY REGION, 2022 and 2030 (USD Million)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
Demand for AI Recruitment is growing in several countries across the North American region.
Also, AI would help recruiters access a broader talent pool through online career boards, social media platforms, and agency databases. In addition, recruiters would have the chance to look at specific profiles, such as former employees of the organization, during screening. These applications of implementing AI will drive artificial intelligence in the recruitment market's growth during the forecast period.
AI Recruitment Key Market Players & Competitive Insights
These markets' leading players will form new collaboration agreements during the anticipated timeframe. That will result in market growth. The major market participants are starting to use AI for hiring in the healthcare sector. Â
Major AI Recruitment market players include PandoLogic, Inc., Leoforce, LLC, Harver B.V., Hackajob Ltd., Jobvite, Brilent, Inc., Entelo, Inc., and others, who are focusing on developing their business strategies.
Key Companies in the AI Recruitment market include.
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Hackajob Ltd.
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Zoho Corporation
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Harver B.V
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Brilent, Inc.
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SmartRecruiters
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CVViZ Softwares Pvt Ltd
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HireVue
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Talentrecruit
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Beamery
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TalentMind
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Ultimate Software
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Automatic Data Processing LCC
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Oracle Corporation
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IBM Corporation
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Google LLC
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SAP SE
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Mya Systems Inc.
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Deloitte
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Quantegene
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WekaIO
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HireEZ
AI Recruitment Industry Developments
February 2023: - Under it’s recently established 1000 Pioneers initiative, Quantgene is inviting past entrepreneurs and startup veterans to apply for a new position. In order to create a layer of revolutionary firms, 1000 Pioneers and Pioneerland are starting with the healthcare industry.
February 2023:- Employment in Many Industries Will Become Obsolete Due to ChatGPT and Future AI Bots. Unusually clever chatbot ChatGPT has been made available to the public as a free tool by a research facility supported by Microsoft.
AI Recruitment Market Segmentation
AI Recruitment Component Type Outlook
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Software
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Services
AI Recruitment Deployment Type Outlook
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Cloud
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On-Premises
AI Recruitment Verticals Type Outlook
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IT & Telecom
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Government
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BFSI
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Healthcare
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Education
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Enterprises
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Others
AI Recruitment Regional Outlook
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North America
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US
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Canada
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Europe
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Germany
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France
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UK
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Italy
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Spain
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Rest of Europe
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Asia-Pacific
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China
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Japan
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India
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Australia
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South Korea
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Australia
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Rest of Asia-Pacific
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Rest of the World
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Middle East
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Africa
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Latin America
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