The latest survey on Resume Parsing Software Market is conducted to provide hidden gems performance analysis of Resume Parsing Software to better demonstrate competitive environment. The study is a mix of quantitative market stats and qualitative analytical information to uncover market size revenue breakdown by key business segments and end-use applications. The report bridges the historical data from 2019 to 2023 and forecasted till 2030. The outbreak of the latest scenario in «keyword» market has made companies uncertain about their future outlook as the disturbance in the value chain has made a serious economic slump. Some are the key & emerging players that are part of the coverage and profiled in the study are Daxtra Technologies Ltd (United Kingdom), employAstar (India), Hireability, LLC. (United States), Zoho Recruit (India), hireEZ (United States), RChilli Inc (United States), Textkernel (Netherlands), Bullhorn (United States), Sovren Group, Inc (United States), Ducknowl (United States), Employa (United States), peopleHum (United States), Indeed (United States)
According to HTF Market Intelligence, the Global Resume Parsing Software Market size is estimated to be around USD Million in 2023 and is expected to grow at a CAGR of % to reach USD Million by 2030.
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Resume Parsing Software Market Overview
Resume parsing software is a technology tool designed to analyze and extract relevant information from resumes or CVs. This software uses algorithms and natural language processing (NLP) to identify key data such as personal details, education, work experience, skills, and certifications. The parsed data is then structured into a standardized format, making it easier for hiring managers and applicant tracking systems (ATS) to review and compare candidates efficiently.
Market Trends
The demand for resume processing software has also increased as a result of the expansion of online job boards.
Market Drivers
Resume parsing software can automate the recruitment process by classifying the candidate data as per the job criteria.
Market Restraints:
Challenges faced by the resume parsing software industry is, low budget companies cannot benefit from the customized version of this software as the initial cost incurred to it is high as compared to the basic version. job searchers and HR personnel are unable to check the program and ascertain the criteria used to score one resume higher or lower than another. Users, therefore, have no control over favorable or unfavorable outcomes. Resume parse doesn’t provide feedback. ATS (Applicant Tracking System) suppliers anticipate that job searchers will eventually gain knowledge of how to resume parsers operate. They delegate explaining to job seekers how to overcome technology in order to escape the resume void of career counselors.
Resume Parsing Software Market Segmentation
Market Analysis by Types: Natural Language Processing Software, Machine Learning Software, Optical Character Recognition Software, Rule-Based Parsing Software, Others
Market Analysis by Applications: Job Seeker, Recruiters, Humans Resource Personnel, Training Institutes, Others
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Important Features that are under offering & key highlights of the Resume Parsing Software market report:
1. Why lots of Key players are not profiled in the Study?
–> The market study is surveyed by collecting data from various companies from Resume Parsing Software industry, and the base for coverage is NAICS standards. However, the study is not limited to profiling only a few companies; connect with sales executives to get a customized list. The standard version of the research report is listed with players like Daxtra Technologies Ltd (United Kingdom), employAstar (India), Hireability, LLC. (United States), Zoho Recruit (India), hireEZ (United States), RChilli Inc (United States), Textkernel (Netherlands), Bullhorn (United States), Sovren Group, Inc (United States), Ducknowl (United States), Employa (United States), peopleHum (United States), Indeed (United States)
2. Does the Scope of the Market Study allow further Segmentation?
—> Yes, for a deep dive analysis add-on segmentation is applicable in a premium customized version of the report to better derive market values. The standard version of this report covers segmentation by Application [Job Seeker, Recruiters, Humans Resource Personnel, Training Institutes, Others ], by Type [Natural Language Processing Software, Machine Learning Software, Optical Character Recognition Software, Rule-Based Parsing Software, Others], and by regions [In North America, In Latin America, Europe, The Asia-pacific, Middle East and Africa (MEA), What are the main countries covered , The United States, Canada, Germany, France, UK, Italy, Russia, China, Japan, Korea, Southeast Asia, India, Australia, Brazil, Mexico, Argentina, Chile, Colombia, Egypt, Saudi Arabia, United Arab Emirates, Nigeria & South Africa]
3. What level of granularity would the Country landscape cover?
—> In the premium version of the report, two-level of regional segmentations allow user to have access to a country-level break-up of market Size by revenue and volume*
* Wherever applicable
4. Does the Study also provide insights into macroeconomic factors?
—> Yes, the study also includes market factor analysis that includes macroeconomic factors, the inflationary cycle and its impact, and Russia-Ukraine war analysis and its effect on the value/supply chain.
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HTF MI provides customized studies specific to regional and country-level reports for the following areas.
• North America: United States, Canada, and Mexico.
• South & Central America: Argentina, Chile, and Brazil.
• Middle East & Africa: Saudi Arabia, UAE, Turkey, Egypt, and South Africa.
• Europe: the United Kingdom, France, Italy, Germany, Spain, and Russia.
• Asia-Pacific: India, China, Japan, South Korea, Indonesia, Singapore, Australia, etc.
Reasons to Buy
- Stay tuned with the latest and Resume Parsing Software market research findings
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- Gain a global perspective on the development of the Resume Parsing Software market
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