With an increasing number of organizations looking to automate and improve their hiring processes with AI, the market for recruiting by artificial intelligence is witnessing a dramatic change. One notable trend is the increased use of artificial intelligence-based applications for candidate sourcing and screening. These technologies allow recruiters to review in a short time large numbers of resumes, identify the best candidates and match them with suitable employment opportunities. This shortens the process, and more directly targets talent acquisitions; increasing efficiency in recruitment.
Yet another significant development is the inclusion of chatbots and virtual assistants in the initial stages of recruitment. These tools use AI to interact with candidates, answer their questions and do preliminary interviews. Recruiters can thereby concentrate on tasks of a more strategic nature, such as assessing cultural fit and testing soft skills. This will improve the candidate's experience and streamline operations within your recruitment workflow. Predictive analytics in the AI recruitment landscape uses machine learning algorithms. Lots of recruiters are now using these algorithms to analyze historical data and find patterns that can help predict whether a candidate will be successful in any given role. Here this data-driven approach helps organizations make more informed decisions about who to hire, leading in turn to better hires and higher retention rates.
In addition, the trend of remote work has also led to advances in AI tools that make virtual hiring processes easier. Facial expressions, language tone and other non-verbal cues are assessed by video interviewing platforms which use AI algorithms to provide further insights as to whether a candidate is suitable for the job. It provides a richer assessment of candidates and promotes broader hiring by eliminating the biases generated in face-to-face interviews. To overcome unconscious biases in the recruitment process, AI is leading by example in diversity and inclusion.
These AI tools can be trained to identify and correct for biases in job descriptions, resume screening or candidate testing. It promotes fair and balanced hiring practices, as well helping organizations form a diverse workforce. Now that the AI recruiting market is taking shape, candidate experience has become increasingly important. These new technologies powered by AI include, for example, personalized communication portals and feedback channels. They enhance the candidate-centered recruiting process. They improve engagement, keep candidates up-to-date and give a good impression of the employer brand.
Report Attribute/Metric | Details |
---|---|
Market Opportunities | Big Data promotes better product designs by utilizing technologies at lower costs and with less hardware. |
Market Dynamics | Growing usage of advanced technologies Screening high-quality candidates from unlimited databases Improving time and efficiency Decreasing overall spending in companies’ HR budgets |
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
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.
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.
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.
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.
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.
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.
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.
Hackajob Ltd.
Zoho Corporation
Harver B.V
Brilent, Inc.
SmartRecruiters
CVViZ Softwares Pvt Ltd
HireVue
Talentrecruit
Beamery
TalentMind
Ultimate Software
Automatic Data Processing LCC
Oracle Corporation
IBM Corporation
Google LLC
SAP SE
Mya Systems Inc.
Deloitte
Quantegene
WekaIO
HireEZ
Software
Services
Cloud
On-Premises
IT & Telecom
Government
BFSI
Healthcare
Education
Enterprises
Others
North America
US
Canada
Europe
Germany
France
UK
Italy
Spain
Rest of Europe
Asia-Pacific
China
Japan
India
Australia
South Korea
Australia
Rest of Asia-Pacific
Rest of the World
Middle East
Africa
Latin America
© 2024 Market Research Future ® (Part of WantStats Reasearch And Media Pvt. Ltd.)