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📂 Dataset Title:
AI Impact on Job Market: Increasing vs Decreasing Jobs (2024–2030)
📝 Dataset Description:
This dataset explores how Artificial Intelligence (AI) is transforming the global job market. With a focus on identifying which jobs are increasing or decreasing due to AI adoption, this dataset provides insights into job trends, automation risks, education requirements, gender diversity, and other workforce-related factors across industries and countries.
The dataset contains 30,000 rows and 13 valuable columns, generated to reflect realistic labor market patterns based on ongoing research and public data insights. It can be used for data analysis, predictive modeling, AI policy planning, job recommendation systems, and economic forecasting.
📊 Columns Description:
Column Name Description
Job Title Name of the job/role (e.g., Data Analyst, Cashier, etc.) Industry Industry sector in which the job is categorized (e.g., IT, Healthcare, Manufacturing) Job Status Indicates whether the job is Increasing or Decreasing due to AI adoption AI Impact Level Estimated level of AI impact on the job: Low, Moderate, or High Median Salary (USD) Median annual salary for the job in USD Required Education Typical minimum education level required for the job Experience Required (Years) Average number of years of experience required Job Openings (2024) Number of current job openings in 2024 Projected Openings (2030) Projected job openings by the year 2030 Remote Work Ratio (%) Estimated percentage of jobs that can be done remotely Automation Risk (%) Probability of the job being automated or replaced by AI Location Country where the job data is based (e.g., USA, India, UK, etc.) Gender Diversity (%) Approximate percentage representation of non-male genders in the job
🔍 Potential Use Cases:
Predict which jobs are most at risk due to automation.
Compare AI impact across industries and countries.
Build dashboards on workforce diversity and trends.
Forecast job market shifts by 2030.
Train ML models to predict job growth or decline.
📚 Source:
This is a synthetic dataset generated using realistic modeling, public job data patterns (U.S. BLS, OECD, McKinsey, WEF reports), and AI simulation to reflect plausible scenarios from 2024 to 2030. Ideal for educational, research, and AI project purposes.
📌 License: MIT
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License information was derived automatically
Employment Rate in the United States decreased to 59.60 percent in July from 59.70 percent in June of 2025. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.
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License information was derived automatically
This dataset provides a comprehensive view of the job market in California, highlighting companies and cities with the highest number of job opportunities. Created by JoPilot, it contains valuable information for anyone interested in the employment landscape across different industries and regions. It includes key information such as:
• Company name • City • State • Number of active jobs
For job seekers, employers, and researchers, this resource can be particularly useful in several ways:
For a more comprehensive job search strategy, consider complementing this dataset with additional resources such as the California Labor Market Information tools, which offer detailed insights into wages, employment projections, and industry-specific data.
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License information was derived automatically
Job Offers in the United States decreased to 7437 Thousand in June from 7712 Thousand in May of 2025. This dataset provides the latest reported value for - United States Job Openings - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
The number of people employed worldwide fell by ***** percent in 2020 when compared with 2019, the only year in this provided time period in which the number of people employed fell. This is because of the COVID-19 pandemic. In 2024, the number of employees globally is estimated to grow by *** percent.
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The global market size of Labor is $XX million in 2018 with XX CAGR from 2014 to 2018, and it is expected to reach $XX million by the end of 2024 with a CAGR of XX% from 2019 to 2024.
Global Labor Market Report 2019 - Market Size, Share, Price, Trend and Forecast is a professional and in-depth study on the current state of the global Labor industry. The key insights of the report:
1.The report provides key statistics on the market status of the Labor manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
2.The report provides a basic overview of the industry including its definition, applications and manufacturing technology.
3.The report presents the company profile, product specifications, capacity, production value, and 2013-2018 market shares for key vendors.
4.The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.
5.The report estimates 2019-2024 market development trends of Labor industry.
6.Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out
7.The report makes some important proposals for a new project of Labor Industry before evaluating its feasibility.
There are 4 key segments covered in this report: competitor segment, product type segment, end use/application segment and geography segment.
For competitor segment, the report includes global key players of Labor as well as some small players.
The information for each competitor includes:
* Company Profile
* Main Business Information
* SWOT Analysis
* Sales, Revenue, Price and Gross Margin
* Market Share
For product type segment, this report listed main product type of Labor market
* Product Type I
* Product Type II
* Product Type III
For end use/application segment, this report focuses on the status and outlook for key applications. End users sre also listed.
* Application I
* Application II
* Application III
For geography segment, regional supply, application-wise and type-wise demand, major players, price is presented from 2013 to 2023. This report covers following regions:
* North America
* South America
* Asia & Pacific
* Europe
* MEA (Middle East and Africa)
The key countries in each region are taken into consideration as well, such as United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, and Brazil etc.
Reasons to Purchase this Report:
* Analyzing the outlook of the market with the recent trends and SWOT analysis
* Market dynamics scenario, along with growth opportunities of the market in the years to come
* Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and non-economic aspects
* Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
* Market value (USD Million) and volume (Units Million) data for each segment and sub-segment
* Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
* Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
* 1-year analyst support, along with the data support in excel format.
We also can offer customized report to fulfill special requirements of our clients. Regional and Countries report can be provided as well.
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Job Search Engines Market size was valued at USD 19.14 Billion in 2024 and is projected to reach USD 105.4 Billion by 2031, growing at a CAGR of 14.2% during the forecast period 2024-2031.
Rising Employment Opportunities: As economies around the world expand, businesses scale up operations, subsequently creating more job opportunities. This growth in employment facilitates a greater need for efficient job search engines to match job seekers with potential employers. Certain sectors such as technology, healthcare, and renewable energy are growing rapidly, leading to an increase in job vacancies. Specialized job search engines cater to these niches, driving market growth. Populous countries with large, young workforces contribute to the increased number of job seekers utilizing job search engines. Growing Internet Penetration: As internet access becomes more widespread globally, more individuals can use online platforms, including job search engines. This is particularly notable in developing regions where internet adoption is accelerating. Lower costs of internet services and devices have made it more feasible for a broader audience to go online, boosting the user base for job search engines. The availability of high-speed internet makes the use of job search engines more convenient and effective, supporting features such as real-time notifications and the ability to upload and download large files (e.g., resumes and portfolios). Shift to Digital Recruitment: The integration of data analytics and AI in recruitment processes enables job search engines to offer more personalized and streamlined experiences for both job seekers and employers. Improved algorithms and machine learning facilitate better job-candidate matching, increasing the effectiveness and appeal of digital recruitment platforms. Digital platforms reduce the costs associated with traditional recruitment methods (e.g., print advertising and in-person job fairs). Employers benefit from decreased hiring costs, while job search engines profit from increased business. Increased Mobile Device Usage: With the global proliferation of smartphones, a significant portion of job searches is conducted via mobile apps and mobile-optimized websites. Job search engines that offer robust mobile platforms are experiencing higher engagement. Mobile devices provide unparalleled flexibility and convenience, allowing users to search for jobs, set up alerts, and apply for positions from anywhere, at any time. Innovative mobile apps designed by job search engines offer features such as GPS-based job searches, voice and video interviews, and chat support, which enhance the user experience. Technological Advancements: Innovations in AI, machine learning, and big data analytics enhance the functionality of job search engines, providing personalized job recommendations and improving match accuracy.
Remote Work Trends: The rise of remote work opportunities, especially post-pandemic, has increased the demand for job search engines that specialize in remote and freelance job listings.
Employer Branding: Companies use job search engines to build and promote their employer brand, attracting top talent by showcasing their work culture, benefits, and career opportunities.
Government Initiatives: Supportive government policies and initiatives aimed at reducing unemployment and promoting job creation boost the usage of job search engines.
Gig Economy Growth: The expanding gig economy, characterized by short-term contracts and freelance work, drives the need for specialized job search engines catering to gig workers.
Globalization and Cross-Border Employment: Increasing globalization and the trend of cross-border employment necessitate job search engines that facilitate international job searches and candidate sourcing.
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Global Employment Services market size is expected to reach $3247.03 billion by 2029 at 10.9%, segmented as by type, employment placement agencies, executive search services, temporary help services, professional employer organizations
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1) Data Introduction • The LinkedIn Job Postings (2023 - 2024) Dataset contains job posting information collected from LinkedIn. It is structured to support analysis of labor market trends and hiring dynamics.
2) Data Utilization (1) Characteristics of the LinkedIn Job Postings Dataset: • The dataset includes time-related information (e.g., posting date, expiration date, number of views), enabling applications such as time-series analysis, salary prediction, and industry-level demand analysis. • With clearly defined features such as job type, employment format, location, and experience level, the dataset is well-suited for analyzing corporate talent demands and sector-specific hiring patterns.
(2) Applications of the LinkedIn Job Postings Dataset: • Hiring trend analysis and job matching AI model development: The dataset can be used to develop NLP-based job classifiers, salary predictors, and skill-experience matching systems. • Corporate talent strategy analysis: It can also be used to build business intelligence (BI) tools that analyze employment strategies by evaluating factors such as job demand, benefits offerings, and remote work availability.
By the last business day of May 2025, there were about 7.77 million job openings in the United States. This is an increase from the previous month, when there were 7.44 million job openings. The data are seasonally adjusted. Seasonal adjustment is a statistical method for removing the seasonal component of a time series that is used when analyzing non-seasonal trends.
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Unemployment Rate in the United States increased to 4.20 percent in July from 4.10 percent in June of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
In 2025, there were estimated to be approximately *** billion people employed worldwide, compared to **** billion people in 1991 - an increase of around *** billion people. There was a noticeable fall in global employment between 2019 and 2020, when the number of employed people fell from due to the sudden economic shock caused by the COVID-19 pandemic. Formal vs. Informal employment globally Worldwide, there is a large gap between the informally and formally employed. Most informally employed workers reside in the Global South, especially Africa and Southeast Asia. Moreover, men are slightly more likely to be informally employed than women. The majority of informal work, nearly ** percent, is within the agricultural sector, with domestic work and construction following behind. Women’s employment As the number of employees has risen globally, so has the number of employed women. Overall, care roles such as nursing and midwifery have the highest shares of female employees globally. Moreover, while the gender pay gap has shrunk over time, it still exists. As of 2024, the uncontrolled gender pay gap was ****, meaning women made, on average, ** cents per every dollar earned by men.
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License information was derived automatically
This dataset provides values for LABOR MARKET CONDITIONS INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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According to Cognitive Market Research, the global Recruitment Market size is USD XX million in 2024 and will expand at a compound annual growth rate (CAGR) of 13.00 % from 2024 to 2031.
North America held the major market of more than 40% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.2 % from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD XX million.
Asia Pacific held a market of around 23% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 15 % from 2024 to 2031.
Latin America market of more than 5% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.4 % from 2024 to 2031.
Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.7% from 2024 to 2031.
The Professional/Managerial sector segment had the largest share in the global Recruitment Market by application.
Market Dynamics of Recruitment Market
Key Drivers of Recruitment Market
Rising Emphasis On Automating The Recruitment Process Is Expected To Contribute To Market Expansion
The advent of Internet technology has brought about significant changes in the execution of online recruitment processes in recent years. There has been a notable shift from traditional recruitment methods to more efficient and cost-effective approaches, which has become a primary concern for companies and government organizations. Many companies have transitioned to using online recruitment platforms, known as e-recruitment, instead of traditional methods. Additionally, job seekers have become more proactive in searching for and applying for job opportunities online. To attract a qualified pool of candidates, companies are focusing on creating compelling, user-friendly content on their platforms or through online job portals. Today, e-recruitment is widely adopted across organizations of all sizes. However, most organizations primarily use e-recruitment platforms to advertise job vacancies, manage interview requests, and communicate with candidates via email. As a result, the integration of the Internet and information technology has transformed traditional recruitment processes, providing organizations with a means to identify suitable candidates for job positions efficiently.
Growing Social Media Presence Is Driving The Need For Advanced Online Recruitment Technology
The emergence of social networking has created new avenues for interaction and transformed the sharing of knowledge. As social networking platforms continue to expand and gain prominence, they offer exciting opportunities for the recruitment industry. In the evolving global business landscape, the role of social media has grown significantly. Recruiters recognize the importance of adopting innovative methods to enhance their business strategies by engaging with talent across various social media platforms. The widespread adoption of social media has led businesses to acknowledge its effectiveness as a marketing tool. Infiltrating the recruitment domain, social networking has become a popular trend among many companies. It serves as a potent tool for businesses to advertise job openings and gain a competitive advantage, attracting a broader pool of potential candidates. Today, businesses increasingly rely on social networking over traditional media channels like magazines, radio, or recruitment agencies. In recent years, the integration of social media has transformed the recruitment process for numerous companies globally.
Restraint Factors Of Recruitment Market
Increasing Prevalence Of Online Fraudulent Applications Is Expected To Impede Growth
The increasing incidence of online fraudulent applications is a significant concern affecting the growth of the recruitment industry. This challenge is exacerbated by the widespread availability of easy internet access, leading to a surge in the number of applicants in online recruitment processes. The sheer volume of applicants makes it challenging for companies and recruitment managers to identify and hire specific employees while efficiently filtering out unqualified candidates. Furthermore...
In May 2025, the employment rate in the United Kingdom was 75.2 percent, up from 75.1 percent in the previous month. After almost dropping below 70 percent in 2011, the employment rate in the United Kingdom started to climb at a relatively fast pace, peaking in early 2020. Due to the onset of the COVID-19 pandemic, however, employment declined to 74.6 percent by January 2021. Although not quite at pre-pandemic levels, the employment rate has since recovered. Labor market trouble in 2025? Although unemployment in the UK spiked at 5.3 percent in the aftermath of the COVID-19 pandemic, it fell throughout most of 2022, to just 3.6 percent in August 2022. Around that time, the number of job vacancies in the UK was also at quite high levels, reaching a peak of 1.3 million by May 2022. The strong labor market put employees in quite a strong position, perhaps encouraging the high number of resignations that took place around that time. Since 2023, however, the previously hot labor market has cooled, with unemployment reaching 4.6 percent in April 2025 and job vacancies falling to a four-year low of 736,000 in May 2025. Furthermore, the number of employees on UK payrolls has fallen by 227,500 in the first five months of the year, indicating that 2025 will be a tough one for the labor market. Headline economic measures revised in early 2025 Along with the unemployment rate, the UK's inflation rate is also expected to be higher than initially thought in 2025, reaching a rate of 3.2 percent for the year. The economy will also grow at a slower pace of one percent rather than the initial prediction of two percent. Though these negative trends are not expected to continue in the long term, the current government has already expended significant political capital on unpopular decisions, such as the cutting of Winter Fuel Payments to pensioners in 2024. As of June 2025, they are almost as unpopular as the previous government, with a net approval rating of -52 percent.
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The global job board software market size was USD 533.73 Million in 2023 and is likely to reach USD 1,180.47 Million by 2032, expanding at a CAGR of 7.78% during 2024–2032. The market is driven by the increasing dependency on the digital solutions of industries worldwide.
Increasing digitalization of recruitment processes is expected to drive the job board software market. These platforms, designed to streamline job posting and application processes, are becoming indispensable tools for organizations seeking to attract and retain top talent. The latest trends in the market indicate a shift toward AI-powered job board software, which match candidates with suitable roles based on their skills, experience, and preferences.
Growing demand for data-driven decision making in recruitment is also influencing the job board software market. Modern job board software not only facilitates job postings but also provides valuable analytics and insights into applicant behavior, job market trends, and recruitment performance. This data is leveraged to refine recruitment strategies, improve candidate experience, and ultimately enhance the quality of hires.
Rising competition for skilled talent is creating significant opportunities for the job board software market. The demand for efficient and effective job board software is expected to surge, as organizations strive to reach a wider pool of candidates and reduce time-to-hire. Furthermore, the increasing prevalence of remote work is likely to boost the market, as job board software enables companies to tap into global talent pools irrespective of geographical boundaries. In conclusion, the job board software market is poised for robust growth, propelled by digital transformation, data-driven recruitment strategies, and the evolving nature of work.
The use of artificial intelligence is likely to boost the job board software market. AI algorithms streamline the recruitment process by automating tasks such as resume screening and candidate matching, saving significant time and resources. Furthermore, AI's <a href="https://dataintelo.com/report/predictive-analytics-to
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Job Growth Statistics: The global job market has substantially changed in the last few years due to technological advancements, the changing priorities of economies, and the long-standing effects of the pandemic. It seems that job growth trends in the year 2024 will be a combination of hope and challenge since the industry will be stoked to thrive more in technology, healthcare, and renewable energy.
It will discuss the job growth statistics, trends, and factors that shape the employment landscape in 2024.
In 2024, the education and health services industry employed the largest number of people in the United States. That year, about 37 million people were employed in the education and health services industry. Education and Health Services Industry Despite being one of the wealthiest nations in the world, the United States has started to fall behind in both education and the health care industry. Although the U.S. spends the most money in both these industries, they do not see their desired results in comparison to other nations. Furthermore, in the education services industry, there was a relatively significant wage gap between men and women. In 2019, men earned about 1,070 U.S. dollars per week on average, while their female counterparts only earned 773 U.S. dollars per week. Employment in the U.S. The 2008 financial crisis was a large-scale event that impacted the entire world, especially the United States. The economy started to improve after 2010, and the number of people employed in the United States has been steadily increasing since then. However, the number of people employed in the education sector is expected to slowly decrease until 2026. The overall unemployment rate in the United States has decreased since 2010 as well.
In 2023, it was estimated that over 161 million Americans were in some form of employment, while 3.64 percent of the total workforce was unemployed. This was the lowest unemployment rate since the 1950s, although these figures are expected to rise in 2023 and beyond. 1980s-2010s Since the 1980s, the total United States labor force has generally risen as the population has grown, however, the annual average unemployment rate has fluctuated significantly, usually increasing in times of crisis, before falling more slowly during periods of recovery and economic stability. For example, unemployment peaked at 9.7 percent during the early 1980s recession, which was largely caused by the ripple effects of the Iranian Revolution on global oil prices and inflation. Other notable spikes came during the early 1990s; again, largely due to inflation caused by another oil shock, and during the early 2000s recession. The Great Recession then saw the U.S. unemployment rate soar to 9.6 percent, following the collapse of the U.S. housing market and its impact on the banking sector, and it was not until 2016 that unemployment returned to pre-recession levels. 2020s 2019 had marked a decade-long low in unemployment, before the economic impact of the Covid-19 pandemic saw the sharpest year-on-year increase in unemployment since the Great Depression, and the total number of workers fell by almost 10 million people. Despite the continuation of the pandemic in the years that followed, alongside the associated supply-chain issues and onset of the inflation crisis, unemployment reached just 3.67 percent in 2022 - current projections are for this figure to rise in 2023 and the years that follow, although these forecasts are subject to change if recent years are anything to go by.
Engineering Job Market Analysis Dataset
Link to Data Sourcing Code
The code used for data sourcing is publicly available on GitHub: GitHub Repository Link
Executive Summary
Motivation and Potential Applications
The rapid advancement of technology has significantly increased the demand for engineering professionals, particularly in computer science and related fields. Understanding current job market trends is crucial for:
Job Seekers: Aligning… See the full description on the dataset page: https://huggingface.co/datasets/yiqing111/Engineering_Jobs_Insight_Dataset.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
📂 Dataset Title:
AI Impact on Job Market: Increasing vs Decreasing Jobs (2024–2030)
📝 Dataset Description:
This dataset explores how Artificial Intelligence (AI) is transforming the global job market. With a focus on identifying which jobs are increasing or decreasing due to AI adoption, this dataset provides insights into job trends, automation risks, education requirements, gender diversity, and other workforce-related factors across industries and countries.
The dataset contains 30,000 rows and 13 valuable columns, generated to reflect realistic labor market patterns based on ongoing research and public data insights. It can be used for data analysis, predictive modeling, AI policy planning, job recommendation systems, and economic forecasting.
📊 Columns Description:
Column Name Description
Job Title Name of the job/role (e.g., Data Analyst, Cashier, etc.) Industry Industry sector in which the job is categorized (e.g., IT, Healthcare, Manufacturing) Job Status Indicates whether the job is Increasing or Decreasing due to AI adoption AI Impact Level Estimated level of AI impact on the job: Low, Moderate, or High Median Salary (USD) Median annual salary for the job in USD Required Education Typical minimum education level required for the job Experience Required (Years) Average number of years of experience required Job Openings (2024) Number of current job openings in 2024 Projected Openings (2030) Projected job openings by the year 2030 Remote Work Ratio (%) Estimated percentage of jobs that can be done remotely Automation Risk (%) Probability of the job being automated or replaced by AI Location Country where the job data is based (e.g., USA, India, UK, etc.) Gender Diversity (%) Approximate percentage representation of non-male genders in the job
🔍 Potential Use Cases:
Predict which jobs are most at risk due to automation.
Compare AI impact across industries and countries.
Build dashboards on workforce diversity and trends.
Forecast job market shifts by 2030.
Train ML models to predict job growth or decline.
📚 Source:
This is a synthetic dataset generated using realistic modeling, public job data patterns (U.S. BLS, OECD, McKinsey, WEF reports), and AI simulation to reflect plausible scenarios from 2024 to 2030. Ideal for educational, research, and AI project purposes.
📌 License: MIT