In the fourth quarter of 2024, the unemployment rate in the information industry in the United States stood at 3.9 percent, increasing from 3.1 percent in the same quarter of 2023. In 2020, the tech industry was hit hard by the economic recession brought about by the COVID-19 pandemic, registering a record 12 percent unemployment rate during the second quarter. Information industry in the U.S. The U.S. information industry consists of those businesses involved in the production or distribution of information, those involved in providing a means to distribute information and data, and those involved in data processing. More specifically, the sector is comprised of six segments: publishing industries (except internet), motion picture and sound recording industries, broadcasting (except internet), telecommunications, data processing/hosting, and other information services. Employment in the U.S. information industry As a whole, the sector employs nearly three million people around the United States and accounts for a significant portion of the country’s entertainment industry. As unemployment has fallen, average hourly earnings within the sector have also risen sharply within the past decade, now amounting to almost 45 dollars per hour. This trend towards more favorable employment conditions comes at a time when union membership within the industry declined to 8.4 percent in 2022.

The tech industry had a rough start to 2024. Technology companies worldwide saw a significant reduction in their workforce in the first quarter of 2024, with over 57 thousand employees being laid off. By the second quarter, layoffs impacted more than 43 thousand tech employees. In the final quarter of the year around 12 thousand employees were laid off. Layoffs impacting all global tech giants Layoffs in the global market escalated dramatically in the first quarter of 2023, when the sector saw a staggering record high of 167.6 thousand employees losing their jobs. Major tech giants such as Google, Microsoft, Meta, and IBM all contributed to this figure during this quarter. Amazon, in particular, conducted the most rounds of layoffs with the highest number of employees laid off among global tech giants. Industries most affected include the consumer, hardware, food, and healthcare sectors. Notable companies that have laid off a significant number of staff include Flink, Booking.com, Uber, PayPal, LinkedIn, and Peloton, among others. Overhiring led the trend, but will AI keep it going? Layoffs in the technology sector started following an overhiring spree during the COVID-19 pandemic. Initially, companies expanded their workforce to meet increased demand for digital services during lockdowns. However, as lockdowns ended, economic uncertainties persisted and companies reevaluated their strategies, layoffs became inevitable, resulting in a record number of 263 thousand laid off employees in the global tech sector by trhe end of 2022. Moreover, it is still unclear how advancements in artificial intelligence (AI) will impact layoff trends in the tech sector. AI-driven automation can replace manual tasks leading to workforce redundancies. Whether through chatbots handling customer inquiries or predictive algorithms optimizing supply chains, the pursuit of efficiency and cost savings may result in more tech industry layoffs in the future.

In 1990, the unemployment rate of the United States stood at 5.6 percent. Since then there have been many significant fluctuations to this number - the 2008 financial crisis left millions of people without work, as did the COVID-19 pandemic. By the end of 2022 and throughout 2023, the unemployment rate came to 3.6 percent, the lowest rate seen for decades. However, 2024 saw an increase up to four percent. For monthly updates on unemployment in the United States visit either the monthly national unemployment rate here, or the monthly state unemployment rate here. Both are seasonally adjusted. UnemploymentUnemployment is defined as a situation when an employed person is laid off, fired or quits his work and is still actively looking for a job. Unemployment can be found even in the healthiest economies, and many economists consider an unemployment rate at or below five percent to mean there is 'full employment' within an economy. If former employed persons go back to school or leave the job to take care of children they are no longer part of the active labor force and therefore not counted among the unemployed. Unemployment can also be the effect of events that are not part of the normal dynamics of an economy. Layoffs can be the result of technological progress, for example when robots replace workers in automobile production. Sometimes unemployment is caused by job outsourcing, due to the fact that employers often search for cheap labor around the globe and not only domestically. In 2022, the tech sector in the U.S. experienced significant lay-offs amid growing economic uncertainty. In the fourth quarter of 2022, more than 70,000 workers were laid off, despite low unemployment nationwide. The unemployment rate in the United States varies from state to state. In 2021, California had the highest number of unemployed persons with 1.38 million out of work.

Graph and download economic data for Unemployment Rate - Information Industry, Private Wage and Salary Workers (LNU04032237) from Jan 2000 to Feb 2025 about information, salaries, workers, private industries, 16 years +, wages, household survey, private, unemployment, industry, rate, and USA.

In 2024, the tech sector experienced a significant number of layoffs, with the hardware industry hit the hardest with over 26.8 thousand employees laid off that year. Close behind was the transportation sector, which witnessed over 19 thousand layoffs. In general, over a third of all tech layoffs in 2024 occurred during the first quarter, with the number of laid-off tech employees decreasing quarter-on-quarter for the remainder of the year.

In February 2025, the agriculture and related private wage and salary workers industry had the highest unemployment rate in the United States, at eight percent. In comparison, self-employed workers, unincorporated, and unpaid family workers had the lowest unemployment rate, at 4.3 percent. The average for all industries was 4.5 percent. U.S. unemployment There are several factors that impact unemployment, as it fluctuates with the state of the economy. Unfortunately, the forecasted unemployment rate in the United States is expected to increase as we head into the latter half of the decade. Those with a bachelor’s degree or higher saw the lowest unemployment rate from 1992 to 2022 in the United States, which is attributed to the fact that higher levels of education are seen as more desirable in the workforce. Nevada unemployment Nevada is one of the states with the highest unemployment rates in the country and Vermont typically has one of the lowest unemployment rates. These are seasonally adjusted rates, which means that seasonal factors such as holiday periods and weather events that influence employment periods are removed. Nevada's economy consists of industries that are currently suffering high unemployment rates such as tourism. As of May 2023, about 5.4 percent of Nevada's population was unemployed, possibly due to the lingering impact of the coronavirus pandemic.

In 2023, China's labor force amounted to approximately 772.2 million people. The labor force in China indicated a general decreasing trend in recent years. As both the size of the population in working age and the share of the population participating in the labor market are declining, this downward trend will most likely persist in the foreseeable future. A country’s labor force is defined as the total number of employable people and incorporates both the employed and the unemployed population. Population challenges for China One of the reasons for the shrinking labor force is the Chinese one-child policy, which had been in effect for nearly 40 years, until it was revoked in 2016. The controversial policy was intended to improve people’s living standards and optimize resource distribution through controlling the size of China’s expanding population. Nonetheless, the policy also led to negative impacts on the labor market, pension system and other societal aspects. Today, China is becoming an aging society. The increase of elderly people and the lack of young people will become a big challenge for China in this century. Employment in China Despite the slowing down of economic growth, China’s unemployment rate has sustained a relatively low rate. Complete production chains and a well-educated labor force make China’s labor market one of the most attractive in the world. Working conditions and salaries in China have also improved significantly over the past years. Due to China’s leading position in terms of talent in the technology industry, the country is now attracting investment from some of the world’s leading companies in the high-tech sector.

In 2020, Canada's ICT sector had an unemployment rate of 6.9 percent. This stands in stark contrast to the overall Canadian economy, where employment dropped by 5.2 percent.

The statistic reflects the seasonally adjusted unemployment rate in member states of the European Union in November 2024. The seasonally adjusted unemployment rate in Spain in November 2024 was 11.2 percent.The unemployment rate represents the share of the unemployed in all potential employees available to the job market. Unemployment rates in the EU The unemployment rate is an important measure of a country or region’s economic health, and despite unemployment levels in the European Union falling slightly from a peak in early 2013 , they remain high, especially in comparison to what the rates were before the worldwide recession started in 2008. This confirms the continuing stagnation in European markets, which hits young job seekers particularly hard as they struggle to compete against older, more experienced workers for a job, suffering under jobless rates twice as high as general unemployment. Some companies, such as Microsoft and Fujitsu, have created thousands of jobs in some of the countries which have particularly dire unemployment rates, creating a beacon of hope. However, some industries such as information technology, face the conundrum of a deficit of qualified workers in the local unemployed work force, and have to hire workers from abroad instead of helping decrease the local unemployment rates. This skills mismatch has no quick solution, as workers require time for retraining to fill the openings in the growing science-, technology-, or engineering-based jobs, and too few students choose degrees that would help them obtain these positions. Worldwide unemployment also remains high, with the rates being worst in the Middle East and North Africa. Estimates by the International Labour Organization predict that the problem will stabilize in coming years, but not improve until at least 2017.

Abstract

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN

The Department of Statistics (DOS) carried out four rounds of the 2011 Employment and Unemployment Survey (EUS). The survey rounds covered a total sample of about 52544 thousand households Nation-wide.The sampled households were selected using a stratified multi-stage cluster sampling design. It is noteworthy that the sample represents the national level (Kingdom), governorates, the three Regions (Central, North and South), and the urban/rural areas.

The importance of this survey lies in that it provides a comprehensive data base on employment and unemployment that serves decision makers, researchers as well as other parties concerned with policies related to the organization of the Jordanian labor market.

It is worthy to mention that the DOS employed new technology in data collection and data processing. Data was collected using electronic questionnaire instead of a hard copy, namely a hand held device (PDA).

The survey main objectives are:

• To identify the demographic, social and economic characteristics of the population and manpower.
• To identify the occupational structure and economic activity of the employed persons, as well as their employment status.
• To identify the reasons behind the desire of the employed persons to search for a new or additional job.
• To measure the economic activity participation rates (the number of economically active population divided by the population of 15+ years old).
• To identify the different characteristics of the unemployed persons.
• To measure unemployment rates (the number of unemployed persons divided by the number of economically active population of 15+ years old) according to the various characteristics of the unemployed, and the changes that might take place in this regard.
• To identify the most important ways and means used by the unemployed persons to get a job, in addition to measuring durations of unemployment for such persons.
• To identify the changes overtime that might take place regarding the above-mentioned variables.

The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing labor force surveys in several Arab countries.

Geographic coverage

Covering a sample representative on the national level (Kingdom), governorates, the three Regions (Central, North and South), and the urban/rural areas.

Analysis unit

1- Household/family. 2- Individual/person.

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN

Survey Frame

The sample of this survey is based on the frame provided by the data of the Population and Housing Census, 2004. The Kingdom was divided into strata, where each city with a population of 100,000 persons or more was considered as a large city. The total number of these cities is 6. Each governorate (except for the 6 large cities) was divided into rural and urban areas. The rest of the urban areas in each governorate was considered as an independent stratum. The same was applied to rural areas where it was considered as an independent stratum. The total number of strata was 30.

In view of the existing significant variation in the socio-economic characteristics in large cities in particular and in urban in general, each stratum of the large cities and urban strata was divided into four sub-stratum according to the socio- economic characteristics provided by the population and housing census with the purpose of providing homogeneous strata.

The frame excludes the population living in remote areas (most of whom are nomads), In addition to that, the frame does not include collective dwellings, such as hotels, hospitals, work camps, prisons and alike.

Sample Design

The sample of this survey was designed using the cluster stratified sampling method. It is representative at the Kingdom, rural and urban areas, regions and governorates levels. The Primary Sampling Units (clusters) were distributed to governorates, urban and rural areas and large cities in each governorate according to the weight of persons/households and according to the variance within each stratum. Slight modifications regarding the number of these units were made. The Primary Sampling Units (PSUs) were ordered within each stratum according to geographic characteristics and then according to socio-economic characteristics in order to ensure good spread of the sample. Then, the sample were selected on two stages. In the first stage, the PSUs were selected using the Probability Proportionate to Size with systematic selection procedure. The number of households, in each PSU served as its weight or size. In the second stage, the blocks of the PSUs which were selected in the first stage have been updated. Then a constant number of households was selected, using the random systematic sampling method as final PSUs from each PSU (cluster).

Sampling notes

It is noteworthy that the sample of the present survey does not represent the non-Jordanian population, due to the fact that it is based on households living in conventional dwellings. In other words, it does not cover the collective households living in collective dwellings. Therefore, the non-Jordanian households covered in the present survey are either private households or collective households living in conventional dwellings. In Jordan, it is well known that a large number of non-Jordanian workers live as groups and spend most of their time at workplaces. Hence, it is more unlikely to find them at their residences during daytime (i.e. the time when the data of the survey is collected). Furthermore, most of them live in their workplaces, such as: workshops, sales stores, guard places, or under construction building's sites. Such places are not classified as occupied dwellings for household sampling purposes. Due to all of the above, the coverage of such population would not be complete in household surveys.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire was designed electronically on the PDA and revised by the DOS technical staff. It was finalized upon completion of the training program. The questionnaire is divided into main topics, each containing a clear and consistent group of questions, and designed in a way that facilitates the electronic data entry and verification. The questionnaire includes the characteristics of household members in addition to the identification information, which reflects the administrative as well as the statistical divisions of the Kingdom.

Cleaning operations

Raw Data

PDAs were used to input and transfer data from the interviewees to the database. The plan of the tabulation of survey results was guided by former Employment and Unemployment Surveys which were previously prepared and tested. When all data processing procedures were completed, the actual survey results were tabulated using an ORACLE package. The tabulations were then thoroughly checked for consistency of data such as titles, inputs, concepts, as well as the figures.

Harmonized Data

• STATA package is used to clean and harmonize the datasets.
• The harmonization process starts with a cleaning process for all raw data files received from the Statistical Agency.
• All cleaned data files are then merged to produce one data file on the individual level containing all variables subject to harmonization.
• A country-specific program is generated for each dataset to generate/ compute/ recode/ rename/ format/ label harmonized variables.
• A post-harmonization cleaning process is then conducted on the data.
• Harmonized data is saved on the household as well as the individual level, in STATA and then converted to SPSS, to be disseminated.

As of January 2024, the tech startup with the most layoffs was Amazon, with over 27 thousand layoffs, across five separate rounds of layoffs. It was followed by Meta and Google with around 21 thousand and 12 thousand job cuts announced respectively.

Layoffs in in the technology industry

Overall, layoffs across all industries began in 2020 due to the outbreak of the coronavirus (COVID-19) pandemic, with tech layoffs increasing in 2022. In the first quarter of 2023 alone, more than 167 thousand employees had been fired worldwide, a record number of job cuts in a single quarter and more than all of the layoffs announced in 2022 combined, marking a harsh start to of 2023 for the tech sector. From retail to finance and education, all sectors are suffering from this widespread downsizing. However, retail tech startups were hit the most, with almost 29 thousand layoffs announced as of September 2023. Most job losses happened in the United States, where tech giants like Amazon, Meta, and Google are based.

Reasons behind increasing tech layoffs

Layoffs in the technology sector started with the COVID-19 pandemic in 2020 when entire cities were in lockdown and mobility was restricted. Although restrictions loosened up in 2021, events such as the Russia-Ukraine war, the downturn in Chinese production, and rising inflation had a significant impact on the tech industry and continue to represent major concerns for tech companies. As a consequence, companies across the world have yet to overcome all economic challenges, examples of which are rising material and labor costs, as well as decreasing profit margins. To address such difficulties, tech companies have appointed business plans. For instance, in the United States, tech firms planned to focus more on consumer retention, automating software, and cutting operating expenses.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Will the Tech Index Remain a Bullish Bastion?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Snapshot img

Staffing Services Market Size 2024-2028

The staffing services market size is forecast to increase by USD 236.6 billion at a CAGR of 6.53% between 2023 and 2028. The market is experiencing significant growth, driven by several key factors. Firstly, the increasing demand for jobs in the labor market continues to fuel the need for staffing services. Secondly, the trend towards remote work and hybrid models has created new opportunities for staffing firms to provide flexible workforce solutions. Lastly, regulatory compliance is a mandatory consideration for staffing services, ensuring adherence to labor laws and industry standards. These factors, among others, are shaping the market landscape and presenting both opportunities and challenges for staffing providers. By staying abreast of these trends and regulatory requirements, staffing firms can effectively meet the evolving needs of their clients and candidates.

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The market encompasses various types of employment arrangements including Contract Staffing and Temporary Staffing. Recruitment agencies play a vital role in providing Employees for businesses, especially for Skilled Candidates who are in high demand. Fixed-term Contracts, Casual Work, and Seasonal Work are common staffing solutions for businesses with fluctuating Workforce Requirements. Online Recruitment has become increasingly popular due to its Cost-effective Hiring benefits and the ability to access a vast Talent Pool. In today's business environment, Staffing Services have become essential for various industries, especially Healthcare, where staff shortages can have serious consequences. Unemployment rates and Business activity influence the demand for Staffing Services. Staffing factoring services and Online factoring platforms offer financial solutions to help businesses manage cash flow during Client payment delays and High client turnover. FinTech companies are revolutionizing the Staffing Services industry with Automated processes, Digital payment solutions, and Blockchain technology. Non-recourse factoring is a popular financing option for businesses. The Staffing Services Market is also witnessing the emergence of Cross-Border Recruitment, Job Opportunities, and Talent Mobility. Job Vacancies and Staffing Needs continue to shape the market, with detailed Job Descriptions guiding the recruitment process.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  Temporary staffing
  Permanent placement
  Contract staffing
  Outsourced recruitment
  Executive search


End-user

  Information technology
  Healthcare
  Manufacturing
  Finance and accounting
  Others


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    Japan


  South America



  Middle East and Africa

By Type Insights

The temporary staffing segment is estimated to witness significant growth during the forecast period.The temporary staffing sector holds a substantial share in The market in 2023. This segment caters to the temporary hiring demands of organizations due to short-term projects or seasonal fluctuations. Temporary staffing encompasses a range of jobs, from entry-level positions to specialized roles, across industries such as healthcare, manufacturing, IT, and finance. Key players in The market, including ManpowerGroup, Randstad N.V., and Adecco Group, provide temporary staffing solutions for various industries. ManpowerGroup simplifies the recruitment process for firms of all sizes with their hassle-free temporary staffing offerings. Randstad N.V. Offers flexible hiring options, enabling companies to optimize hiring costs and efficiently onboard skilled professionals in response to changing business and client needs for a limited period.

Financial services, such as recourse factoring, can support staffing agencies in managing their working capital requirements during the staffing process. Regulatory oversight ensures that these services are provided ethically and in compliance with industry standards.

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The Temporary staffing segment accounted for USD 192.90 billion in 2018 and showed a gradual increase during the forecast period.

Regional Insights

APAC is estimated to contribute 33% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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In North America, the market experienced significant growth in 2023, with a

The novel coronavirus disease 2019 (COVID-19) is impacting families on an unprecedented scale across the state of Indiana. According to the US Bureau of Labor Statistics, the state's unemployment rate for May climbed to 16.9 percent, which is the highest number ever recorded in Indiana. Lost or reduced wages have resulted in significant food insecurity, and several resources that residents normally would depend on have become unavailable during the COVID-19 pandemic. Food banks are being stretched to their limit. School closures have changed access to free and reduced-cost breakfasts and lunches for students. Food staples normally available at grocery stores have become scarce.In response to the quickly spreading outbreak, the state of Indiana turned to the Geographic Information Office (GIO), within the Indiana Office of Technology, to fast-track the new, mobile-friendly Food Assistance Availability Map._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

According to Cognitive Market Research, the global Outplacement Services market was USD 3.1 billion in 2022 and will grow at a compound annual growth rate (CAGR) of 18.1% from 2023 to 2030. How are the Key Drivers Affecting the Outplacement Services Market?

Increasing Penetration of Analytical Solutions and Connected Devices Applications Drive the Outplacement Services Market

The rising adoption of analytical solutions and connected device applications propels the Outplacement Services Market. These technologies enable deeper insights into job markets, skill demands, and career trends, enhancing the effectiveness of outplacement services.

Visier, Inc. introduced a novel Platform as a Service (PaaS) named Alpine Visier. These fresh services expand the company's portfolio, offering a comprehensive solution that appeals to potential customers and speeds up revenue growth.

(Source:www.visier.com/blog/alpine-platform/)

Data-driven analytics assist in personalized coaching and job matching, while connected devices provide seamless virtual access to resources and support. This digital transformation optimizes service delivery, aligning with the evolving needs of job seekers and employers, thus driving the market's growth.

Wide ranging Advantages to Organization to Decipher the Market Share

The Factors Restraining the Growth of the Outplacement Services Market

Changing Workforce Dynamics is Challenging the Growth of the Outplacement Services Market

Changing workforce dynamics challenge the Outplacement Services Market by introducing varied skill requirements. Rapid technological advancements and automation reshape job roles, leading to a diverse range of displaced employees with differing skill sets. Providing relevant and effective support tailored to these evolving skill demands becomes more complex. Outplacement service providers must continually adapt their offerings to address the dynamic needs of individuals facing job transitions in a rapidly changing job landscape.

Impact of Covid-19 on Outplacement Services Market

The COVID-19 pandemic disrupted the Outplacement Services Market by causing widespread economic uncertainties, job losses and organizational restructuring. High unemployment rates and remote work challenges shifted the demand for outplacement services. The remote nature of work transitions and limited in-person interactions presented difficulties in delivering personalized support. Despite the increased need for career transition assistance, budget constraints among companies during the pandemic further affected the accessibility and utilization of outplacement services. Introduction of Outplacement Services

The Outplacement Services Market is growing due to changing workforce dynamics and corporate restructuring. Organizations increasingly focus on supporting laid-off employees with career transition assistance and maintaining positive employer branding. With advancements in technology, personalized coaching, skill development, and job search support are offered, driving demand for outplacement services. A greater emphasis on employee well-being and a competitive job market also influences growth.

These developments empower businesses to offer better-tailored solutions and services, which, in turn, contribute to the growth of the Outplacement Services industry.

In the upcoming years, the Metaverse is expected to play a large role in people's lives, according to a recent press release from Gartner, a renowned research and advising company. According to Gartner, 25% of individuals will spend at least one hour per day in the Metaverse by 2026. This virtual environment has the power to change how we communicate, connect with one another, and do business.

(Source:www.linkedin.com/pulse/gartner-predicts-25-people-spend-least-one-hour-per-chintan/)

This poll, fielded December 17-22, 2009, is a part of a continuing series of monthly surveys that solicits public opinion on a range of political and social issues. Respondents were asked how they felt about the future of the United States over the next few years, whether they thought their opportunities to succeed in life were better or worse than their parent's generation, how satisfied they were with their life, and what major ambition or dream they would like to accomplish over the next 10 years. Respondents were queried on how they would rate the condition of the national economy, and how concerned they were that they or someone in the household would be out of work in the next year. Respondents were also asked what grade they would give to the United States in finding a cure for AIDS, cancer, and Alzheimer's disease, in ensuring the safety of the nation's food supply, and the quality of the public schools, in its ability to protect the country from a terrorist attack, its efforts to combat obesity, in its progress in protecting the environment, in the condition of the military, and in the nation's technological innovation compared to other countries. Information was collected on what was more important to the respondent, stimulating the economy or protecting the environment, whether they would be willing to pay more for a product if they knew it would be better for the environment, and how much confidence they had that advances in technology will solve global warming and other threats to the environment. Respondents were asked how likely they thought it was that there would be anther terrorist attack in the United States within the next few months, how secure they thought the country's ports and harbors were from terrorist activity, whether they thought that obesity was a serious public health problem, whether they would like to lose or gain weight, whether they support or oppose a special tax on junk food, and whether they thought that a special tax on junk food would encourage more people to lose weight. Respondents were queried on whether they had teenagers that they thought have tried illegal drugs and prescription drugs to get high, whether they thought that their teenaged children were sexually active, whether they thought that their teenagers have sent or received sexually explicit messages or images through their mobile phone, and whether they thought that their teenagers were overweight. Information was collected on how much free time their teenagers spent on the Internet, whether they monitor what their teenagers are doing online, whether their teenagers have been threatened or bullied online, whether they give their teenagers allowance, whether their teenagers work, and whether their teenagers have chores. Respondents were asked whether they favor or oppose divorce as a solution if the marriage isn't working out, whether they know anyone who has been unfaithful to their spouse, and whether they feel torn between their job and their family. Finally, respondents were also asked if they thought that we should return to a military draft, whether they thought that the United States military was adequately prepared to respond to a new military threat, whether public schools should teach a course on the major religions of the world, and how often they went to the theater to see a movie. Demographic information includes sex, age, race, marital status, education level, household income, employment status, military service, religious preference, type of residential area (e.g., urban or rural), political party affiliation, political philosophy, and voter registration status.

The statistic shows the share of Italians who agree that technology is now destroying more jobs than it creates in 2017, by age. According to the survey, 61 percent of respondents aged 65 years and over agreed that technology is now destroying more jobs than it creates. Thanks to the efficiency of the internet and systems, productivity and GDP have grown during the last few decades, but the middle class and jobs are disappearing. Technological unemployment is the concept of technology killing more jobs than it produces.

The Retirement & Pension Plans industry plays a crucial role in providing financial security and stability to individuals in their retirement years. Shifting demographics, government regulations and advancements in technology is changing the industry. In response to these changes the industry is focusing on offering more flexible and personalized retirement plans to meet the unique needs of different segments of the population. However, over the past five years, industry revenue has fallen at a CAGR of 3.3% to $965.3 billion, including an expected climb of 1.2% in 2024 alone, when profit is expected to drop to 24.0%. The industry experienced a decline as the population aged and the national unemployment rate increased. As the unemployment rate increased, there were fewer employees and employers reduced their total contributions, hindering the industry overall. Although the implementation of new technology has streamlined the administration of retirement plans and improved the overall experience for both employees and employers. There is a growing trend towards offering more personalized and flexible retirement plans, such as defined contribution plans, to meet the specific needs of different segments of the population. Defined contribution plans help reduce costs for employers. Looking forward, the industry will likely continue to focus on offering more flexible and personalized retirement plans and improving the overall experience for employees and employers. The use of new technologies will help satisfy the needs of plan holders. Industry revenue is forecasted to grow at a CAGR of 1.1% to $1,018.3 billion over the next five years.

U.S. Higher Education Market size was valued at USD 101165.92 USD Million in 2023 and is projected to reach USD 176174.98 USD Million by 2031, growing at a CAGR of 7.18% during the forecast period 2024-2031.

U.S. Higher Education Market Drivers

The market drivers for the U.S. Higher Education Market can be influenced by various factors. These may include:

Demographics: Shifts in the population’s composition and size of the college-age population have an impact on the demand for higher education.

Economic Conditions: A person’s desire to pursue higher education and their capacity to pay for it are influenced by a number of economic factors, such as income levels, unemployment rates, and the general health of the economy.

Technological Innovations: These include online learning environments, virtual classrooms, and adaptive learning technologies, which have an impact on how higher education is delivered.

Government Funding and Policies: The higher education industry is greatly impacted by changes to government funding and policy, including financial aid programs and rules pertaining to student loans and accreditation.

Globalization: As more students from outside pursue higher education in the United States and American universities broaden their global reach, there is a corresponding increase in the demand for higher education.

job Market Trends: Higher education institutions’ program offerings and enrollment trends are influenced by the job market’s need for particular skills and credentials.

Competitive Landscape: Innovation and advancements in higher education offerings are fueled by competition among schools and universities, which includes rivalry for students, faculty, research funds, and rankings.

Social and Cultural Factors: The higher education market is shaped by shifting societal attitudes regarding education, cultural views of the value of higher education, and changing preferences for various educational experiences.

In general, foreign direct investments (FDIs) play a crucial role in driving a country’s economic development, promoting diversification, and enhancing competitiveness. The Gulf Cooperation Council (GCC) countries, which heavily rely on the oil and gas sectors, are particularly vulnerable to fluctuations in commodity prices. However, these countries have recognized the imperative of economic diversification and have increasingly turned to inward FDIs to achieve it. By attracting capital, advanced technology, and expertise from foreign investors, FDIs enable the GCC countries to expand their economic base beyond the oil and gas sectors. This diversification not only creates employment opportunities but also fosters resilient economic growth, ultimately leading to an improvement in the living standards of the local population. This study investigates the macroeconomic and environmental factors that potentially attract foreign direct investment (FDI) inflows into the Gulf Cooperation Council (GCC) countries in the long run. Additionally, the study explores the causal relationship between these factors and FDI inflows. The panel autoregressive distributed lag (ARDL) approach to co-integration is the primary analytical technique used, utilizing long time-series data from six GCC countries, including Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates (UAE) during the period 1990–2019. The empirical results indicate that, in the long run, almost all independent variables significantly influence FDI in GCC countries. Variables such as GDP growth (GDPG), inflation (INFL), carbon dioxide emissions (CO2), and urbanization (URB) are found to be highly significant (p≤0.01) in their impact on FDI. Moreover, unemployment (UNEMP) also positively and significantly influences FDI in these countries in the long run. Based on the key findings, strategies aimed at reducing persistently high unemployment rates, maintaining population growth, viewing FDI as a driver for GDP growth, and continuing with infrastructure development and urbanization are expected to attract more FDI inflows into GCC countries in the long run. Additionally, fostering both long-term economic incentives and creating a conducive business infrastructure for investors are vital for attracting inward FDI into any nation, including those in the GCC. This research would benefit various stakeholders, including governments, local businesses, investors, academia, and the local society, by providing valuable knowledge and informing decision-making processes related to economic development, diversification, and investment promotion.