Number of employees by North American Industry Classification System (NAICS) and type of employee, last 5 years.

ChatGPT, an artificial intelligence (AI) powered chatbot, is most used by companies in the technical and education industries, with over 200 companies using it in 2023. It is perhaps unsurprising that the technical field has embraced the use of ChatGPT, but it is interesting that so many educational institutes have begun to use it. While other industries do utilize the OpenAI-made chatbot, there are less than a 100 institutions and companies that use ChatGPT in other industries. This is especially true of agriculture, cultural, and legal industries, where only a single company is using ChatGPT in 2023.

Abstract

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. Industrial sector occupies an important position in the State economy and has a pivotal role to play in the rapid and balanced economic development. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

Coverage of the Annual Survey of Industries extends to the entire Factory Sector, comprising industrial units (called factories) registered under section 2(m)(i) and 2(m)(ii) of the Factories Act.1948, wherein a "Factory", which is the primary statistical unit of enumeration for the ASI is defined as:- "Any premises" including the precincts thereof:- (i) wherein ten or more workers are working or were working on any day of the preceding twelve months, and in any part of which a manufacturing process is being carried on with the aid of power or is ordinarily so carried on, or (ii) wherein twenty or more workers are working or were working on any day of the preceding twelve months, and in any part of which a manufacturing process is being carried on without the aid of power. In addition to section 2(m)(i) & 2(m)(ii) of the Factories Act, 1948, electricity units registered with the Central Electricity Authority and Bidi & Cigar units, registered under the Bidi & Cigar Workers (Conditions of Employment) Act,1966 are also covered in ASI.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948. Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design followed in ASI 1997-98 is a circular systematic one. All the factories in the updated frame (universe) are divided into two sectors, viz., Census and Sample.

Census Sector: Census Sector is defined as follows:

a) All industrial units belonging to the 12 less industrially developed states/ UT's viz. Manipur, Meghalaya, Nagaland, Tripura, Sikkim and Andaman & Nicobar Islands etc.
b) For the rest of the states/ UT's., (i) units having 200 or more workers and also some "Significant Units"were identified from the databases of ASI 1993-94 to ASI 1995-96, which although having less than 200 workers, contributed significantly to the Value of Output in these ASI years. and (ii) all public sector undertakings (PSU) and electricity sector were included in the census sector.

Remaining units, excluding those of Census Sector, called the sample sector, are arranged in order of their number of workers and samples are then drawn circular systematically Sampling technique from each stratum (State X 3-digit NIC) with a minimum of 4 samples per stratum.

The census and sample sectors were such formulated that the Census Sector units comprising at most 9% units contributed at least 90% of Net Value Added (NVA) at All-India level. Alternaitively, the sample sector comprising 91% industrial units contributed less than 10% of NVA. The sample size n from the above sample sector was determined at All-India level first. Then the total size for a particular state was allocated in the proportion of total output in that stratum. It may be noted that the sample size in stratum was always taken as an even no. (by adding on unit in case, it was odd) and if, sample size alongwith the no. of census units in any stratum be less than 4, then that stratum was merged with the units of a nearest stratum.

Sampling deviation

There was no deviation from sample design in ASI 1997-98

Mode of data collection

Face-to-face [f2f]

Research instrument

Annual Survey of Industries Questionnaire (in External Resources) is divided into different blocks:

BLOCK A & B :IDENTIFICATION PARTICULARS (Filled by CSO and Industrial Units) BLOCK C : ASSETS AND LIABILITIES BLOCK D : EMPLOYMENT AND LABOUR COST BLOCK E : RECEIPTS BLOCK F : EXPENSES BLOCK G : INPUT ITEMS (indigenous items consumed) BLOCK H : INPUT ITEMS – directly imported items only (consumed) BLOCK I : PRODUCTS AND BY-PRODUCTS (manufactured by the unit) BLOCK J : DISTRIBUTIVE EXPENSES BLOCK K : POLLUTION CONTROL

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

Code list, State code list, Tabulation program and ASICC code are attached in the External Resources. which are used for editing and data processing as well..

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula. Programs developed in Visual Foxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

This dataset presents statistics on: the number of establishments; sales, value of shipments, or revenue; annual payroll; and number of employees whose NAICS classification has changed between the current and the previous economic censuses. Data are shown for 6-digit current economic census NAICS industries and their 8-digit previous economic census NAICS components for the U.S. Includes only establishments of firms with paid employees.

Labour statistics by job category, for Canada, the provinces and territories, annual.

Explore the eCommerce statistics by industry and category for the year 2025. This page provides insights into the performance of different eCommerce categories, including store count, estimated sales amounts, products sold, and app spend. Gain a comprehensive understanding of the eCommerce landscape in 2025, with data-driven insights on market dynamics and consumer preferences. Stay informed about industry trends and benchmarks within specific eCommerce categories, empowering businesses to identify growth opportunities and optimize operations. This report is a valuable resource for industry professionals navigating the evolving world of eCommerce.

Graph and download economic data for All Employees, Publishing Industries (CES5051100001) from Jan 1990 to Jun 2025 about printing, information, establishment survey, employment, industry, and USA.

This table contains 2736 series, with data starting from 2001 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Business dynamics measure (16 items: Number of active employer businesses in the private sector; Number of entrants; Number of incumbents; Number of exits; ...) North American Industry Classification System (NAICS) (19 items: Private sector; Agriculture, forestry, fishing and hunting; Mining, quarrying, and oil and gas extraction; Utilities; ...) Firm size (9 items: Private sector; From 0 to less than 100 employees; From 0 to less than 50 employees; Less than 5 employees; ...).

In 2024, the financial services industry in the United States was the most targeted by cyberattacks, that resulted in data compromises. That year, financial institutions in the U.S. saw 737 data compromise incidents. On the other hand, in 2023, the number of data compromise incidents in the U.S. healthcare industry was much higher than in the latest measured year.

Abstract

Introduction

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess and evaluate, objectively and realistically, the changes in the growth, composition and structure of organized manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. The survey has so far been conducted annually under the statutory provisions of the Collection of Statistics (COS) Act, 1953 and the rules framed there-under in 1959 except in the State of Jammu & Kashmir where it is conducted under the J&K Collection of Statistics Act, 1961 and rules framed there under in 1964. From ASI 2010-11 onwards, the survey is to be conducted annually under the statutory provisions of the Collection of Statistics (COS) Act, 2008 and the rules framed there-under in 2011except in the State of Jammu & Kashmir where it is to be conducted under the J&K Collection of Statistics Act, 1961 and rules framed there under in 1964.

ASI schedule is the basic tool to collect required data for the factories registered under Sections 2(m)(i) and 2(m)(ii) of the Factories Act, 1948. The schedule for ASI, at present, has two parts. Part-I of ASI schedule, processed at the CSO (IS Wing), Kolkata, aims to collect data on assets and liabilities, employment and labour cost, receipts, expenses, input items: indigenous and imported, products and by-products, distributive expenses, etc. Part-II of ASI schedule is processed by the Labour Bureau. It aims to collect data on different aspects of labour statistics, namely, working days, man-days worked, absenteeism, labour turnover, man-hours worked etc. The concepts and definition of various terms used in collection of ASI data are given in Chapter Two, and the details of the schedule, item descriptions and procedures for collecting information for each item.

Geographic coverage

The ASI extends its coverage to the entire country. It covers all factories registered under Sections 2(m)(i) and 2(m)(ii) of the Factories Act, 1948, where the manufacturing process is defined under Section 2(k) of the said Act. The survey also covers bidi and cigar manufacturing establishments registered under the Bidi and Cigar Workers (Conditions of Employment) Act 1966. All electricity undertakings engaged in generation, transmission and distribution of electricity registered with the Central Electricity Authority (CEA) were also covered under ASI irrespective of their employment size till ASI 1997-98. Defence establishments, oil storage and distribution depots etc. are excluded from the purview of the survey.

From ASI 1998-99, the electricity units registered with the CEA and the departmental units such as railway workshops, RTC workshops, Govt. Mints, sanitary, water supply, gas storage, etc. are not covered. However, Public Sector Undertakings and eligible captive plants are covered in the survey. The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas and water supply undertakings and an establishment in the case of bidi and cigar industries. The owner of two or more establishments located in the same state and pertaining to the same industry group and falling under the census scheme is, however, permitted to furnish a single consolidated return, termed as 'Joint Return'. Such consolidated returns are a common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948.

Kind of data

Census/enumeration data [cen]

Sampling procedure

The sampling design adopted in ASI has undergone considerable changes from time to time, taking into account the technical and other requirements. The earlier sampling design had been adopted from ASI 2007-08 to ASI 2011-12. From ASI 2012-13, a new sampling design has been adopted following the recommendation of Dr. S. L.Shetty Committee and approved by the SCIS subsequently. According to the new sampling design, all the factories in the updated frame are divided into two sectors, viz., Census and Sample.

Census Sector: Census Sector consists of the following units: a) All industrial units belonging to the six less industrially developed states/ UT's viz.Manipur, Meghalaya, Nagaland, Sikkim, Tripura and Andaman & Nicobar Islands. b) For the rest of the twenty-six states/ UT's., (i) units having 100 or more employees, and (ii) all factories covered under Joint Returns. c) After excluding the Census Sector units as defined in paragraphs a) and b) above, the strata will be formed at State × District × Sector × 4-digit of NIC-2008 level. Sectors are (i) Bidi, (ii) Manufacturing and (iii) Electricity. All units belonging to the strata (i.e., formed on the basis of units in State by District by Sector by 4-digit of NIC-08) having less than or equal to 4 units are also considered as Census Sector units.

Sample Sector a) Then factories, in each stratum, are arranged in order of their number of employees. Finally, the sample will be drawn circular systematically in the form of four independent sub-samples considering an overall sampling fraction, say, between 16% to 20%, depending upon the availability of resources of FOD/State. An even number of units with a minimum of 4 units are selected and evenly distributed in four subsamples. It may be noted that in the formation of stratum, the sectors are taken as (i) Bidi, (ii) Manufacturing and (iii) Electricity. Moreover, each of the 4 sub-samples from a particular stratum may not have equal number of units. b) Out of these four sub-samples, two, preferably the odd ones, will be given to FOD, NSSO and the remaining two will be given to State/UT for data collection. Thus if four sub-samples SS1, SS2, SS3 and SS4 are formed in each stratum, the sub-samples SS1 and SS3 will be surveyed by NSSO, FOD, and the sub-samples SS2 and SS4 will be surveyed by State/ UT. c) The entire units under the Census scheme plus all the units belonging to the two subsamples meant for FOD (i.e., sub-samples SS1 and SS3) may be treated as the Central sample.

Sampling deviation

The sampling design adopted in ASI has undergone considerable changes from time to time, taking into account the technical and other requirements. The present sampling design has been adopted from ASI 2007-08. All the factories in the updated frame are divided into two sectors, viz., Census and Sample.

Mode of data collection

Statutory return submitted by factories as well as Face to Face

Research instrument

Annual Survey of Industries Questionnaire is divided into different blocks:

BLOCK A.IDENTIFICATION BLOCK - This block has been designed to collect the descriptive identification of the sample enterprise. The items are mostly self-explanatory.

BLOCK B. TO BE FILLED BY OWNER OF THE FACTORY - This block has been designed to collect the particulars of the sample enterprise. This point onwards, all the facts and figures in this return are to be filled in by owner of the factory.

BLOCK C: FIXED ASSETS - Fixed assets are of a permanent nature having a productive life of more than one year, which is meant for earning revenue directly or indirectly and not for the purpose of sale in ordinary course of business. They include assets used for production, transportation, living or recreational facilities, hospital, school, etc. Intangible fixed assets like goodwill, preliminary expenses including drawing and design etc are excluded for the purpose of ASI. The fixed assets have, at the start of their functions, a definite value, which decreases with wear and tear. The original cost less depreciation indicates that part of value of fixed assets, which has not yet been transferred to the output. This value is called the residual value. The value of a fixed asset, which has completed its theoretical working life should always be recorded as Re.1/-. The revalued value is considered now. But depreciation will be taken on original cost and not on revalued cost.

BLOCK D: WORKING CAPITAL & LOANS - Working capital represents the excess of total current assets over total current liabilities.

BLOCK E : EMPLOYMENT AND LABOUR COST - Particulars in this block should relate to all persons who work in and for the establishment including working proprietors and active business partners and unpaid family workers. However, Directors of incorporated enterprises who are paid solely for their attendance at meeting of the Board of Directors are to be excluded.

BLOCK F : OTHER EXPENSES - This block includes the cost of other inputs as both the industrial and nonindustrial service rendered by others, which are paid by the factory and most of which are reflected in the ex-factory value of its production during the accounting year.

BLOCK G : OTHER INCOMES -

In April 2025, the Industrial Production Index (IPI) came to a value of ***** in the United States. This reflects no significant change from the previous month.The IPI was created by the Federal Reserve to measure the performance of industrial production - manufacturing, mining, electric and gas industries - in the United States relative to a base year. A value of over *** shows positive production performance, while a value below *** indicates an industrial production performance below the standards of the base year.

United States Employment: NF: IF: Publishing Industries ex Internet data was reported at 714.900 Person th in Jun 2018. This records an increase from the previous number of 709.700 Person th for May 2018. United States Employment: NF: IF: Publishing Industries ex Internet data is updated monthly, averaging 885.600 Person th from Jan 1990 (Median) to Jun 2018, with 342 observations. The data reached an all-time high of 1,049.300 Person th in Dec 2000 and a record low of 709.200 Person th in Apr 2018. United States Employment: NF: IF: Publishing Industries ex Internet data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G024: Current Employment Statistics Survey: Employment: Non Farm.

United States Employment: NF: sa: IF: Motion Picture & Sound Recording Industries data was reported at 416.100 Person th in Jun 2018. This records a decrease from the previous number of 416.200 Person th for May 2018. United States Employment: NF: sa: IF: Motion Picture & Sound Recording Industries data is updated monthly, averaging 371.600 Person th from Jan 1990 (Median) to Jun 2018, with 342 observations. The data reached an all-time high of 442.200 Person th in Oct 2016 and a record low of 244.100 Person th in Jan 1990. United States Employment: NF: sa: IF: Motion Picture & Sound Recording Industries data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G026: Current Employment Statistics Survey: Employment: Non Farm: sa.

Graph and download economic data for Number of Private Establishments for All Industries in Palm Beach County, FL (ENU1209920510) from Q1 1990 to Q4 2024 about Palm Beach County, FL; Miami; establishments; private industries; FL; private; industry; and USA.

Abstract

Introduction

The Annual Survey of Industries (ASI) is one of the large-scale sample survey conducted by Field Operation Division of National Sample Survey Office for more than three decades with the objective of collecting comprehensive information related to registered factories on annual basis. ASI is the primary source of data for facilitating systematic study of the structure of industries, analysis of various factors influencing industries in the country and creating a database for formulation of industrial policy.

The main objectives of the Annual Survey of Industries are briefly as follows: (a) Estimation of the contribution of manufacturing industries as a whole and of each unit to national income. (b) Systematic study of the structure of industry as a whole and of each type of industry and each unit. (c) Casual analysis of the various factors influencing industry in the country: and (d) Provision of comprehensive, factual and systematic basis for the formulation of policy.

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

The ASI is the principal source of industrial statistics in India and extends to the entire country except Arunachal Pradesh, Mizoram & Sikkim and the Union Territory of Lakshadweep. It covers all factories registered under Sections 2m(i) and 2m(ii) of the Factories Act, 1948.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948. Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI.

Kind of data

Census and Sample survey data [cen/ssd]

Sampling procedure

Sampling Procedure

The sampling design followed in ASI 2000-01 is a Circular Systematic one. All the factories in the updated frame (universe) are divided into two sectors, viz., Census and Sample.

Census Sector: Census Sector is defined as follows:

a) All the complete enumeration States namely, Manipur, Meghalaya, Nagaland, Tripura and Andaman & Nicobar Islands. b) For the rest of the States/ UT's., (i) units having 100 or more workers, and (ii) all factories covered under Joint Returns.

Rest of the factories found in the frame constituted Sample sector on which sampling was done. Factories under Biri & Cigar sector were not considered uniformly under census sector. Factories under this sector were treated for inclusion in census sector as per definition above (i.e., more than 100 workers and/or joint returns). After identifying Census sector factories, rest of the factories were arranged in ascending order of States, NIC-98 (4 digit), number of workers and district and properly numbered. The Sampling fraction was taken as 12% within each stratum (State X Sector X 4-digit NIC) with a minimum of 8 samples except for the State of Gujarat where 9.5% sampling fraction was used. For the States of Jammu & Kashmir, Himachal Pradesh, Daman & Diu, Dadra & Nagar Haveli, Goa and Pondicherry, a minimum of 4 samples per stratum was selected. For the States of Bihar and Jharkhand, a minimum of 6 samples per stratum was selected. The entire sample was selected in the form of two independent sub-sample using Circular Systematic Sampling method.

Sampling deviation

There was no deviation from sample design in ASI 2000-01

Mode of data collection

Statutory return submitted by factories as well as Face to face

Research instrument

Annual Survey of Industries Questionnaire (in External Resources) is divided into different blocks:

BLOCK A.IDENTIFICATION PARTICULARS BLOCK B. PARTICULARS OF THE FACTORY (TO BE FILLED BY OWNER OF THE FACTORY) BLOCK C: FIXED ASSETS BLOCK D: WORKING CAPITAL & LOANS BLOCK E : EMPLOYMENT AND LABOUR COST BLOCK F : OTHER EXPENSES BLOCK G : OTHER INCOMES BLOCK H: INPUT ITEMS (indigenous items consumed) BLOCK H1: FUELS, ELECTRICITY AND WATER CONSUMPTION BLOCK I: INPUT ITEMS – directly imported items only (consumed) BLOCK J: PRODUCTS AND BY-PRODUCTS (manufactured by the unit)

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

Validation checks are carried out on data files. Code list, State code list, Tabulation program and ASICC code are may be refered in the External Resources which are used for editing and data processing as well..

B. Tabulation procedure

The tabulation procedure by CSO(ISW) includes both the ASI 2000-01 data and the extracted data from ASI 99-00 for all tabulation purpose. For extracted returns, status of unit (Block A, Item 12) would be in the range 17 to 20. To make results comparable, users are requested to follow the same procedure. For calculation of various parameters, users are requested to refer instruction manual/report. Please note that a separate inflation factor (Multiplier) is available for each unit against records belonging to Block-A for ASI 2000-01 data. The multiplier is calculated for each stratum (i.e. State X NIC'98(4 Digit)) after adjusting for non-response cases.

.

C. Merging of unit level data

As per existing policy to merge unit level data at ultimate digit level of NIC'98 (i.e., 5 digit) for the purpose of dissemination, the data have been merged for industries having less than three units within State, District and NIC'98(5 Digit) with the adjoining industries within district and then to adjoining districts within a state. There may be some NIC'98(5 Digit) ending with '9' which do not figure in the book of NIC '98. These may be treated as 'Others' under the corresponding 4-digit group. To suppress the identity of factories data fields corresponding to PSL number, Industry code as per Frame (4-digit level of NIC-98) and RO/SRO code have been filled with '9' in each record.

It may please be noted that, tables generated from the merged data may not tally with the published results for few industries, since the merging for published data has been done at aggregate-level to minimise loss of information.

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula (Pl ease refer to Estimation Procedure document in external resources). Programs developed in Visual Faxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

Key Statistics on Business Performance and Operating Characteristics of the Industrial Sector - Table 610-72005 : Principal statistics for all establishments in the manufacturing sector by industry grouping and number of persons engaged

The artificial intelligence (AI) software industry is poised to dominate the Software-as-a-Service (SaaS) market by 2025, with an estimated *** million customers worldwide. This surge in AI adoption reflects the growing importance of intelligent technologies across various sectors, as businesses seek to leverage data-driven insights and automation to gain a competitive edge. Cloud adoption drives SaaS growth The rise of AI in SaaS is closely tied to the broader trend of cloud adoption. As of 2024, ** percent of enterprises have deployed hybrid cloud solutions, combining the benefits of public and private clouds. This shift towards flexible cloud infrastructure provides an ideal foundation for AI-powered SaaS applications, enabling businesses to scale their AI capabilities efficiently. The increasing popularity of public cloud services, with ** percent of enterprises adopting AWS, further supports the growth of AI and other SaaS offerings. Investment in cloud and SaaS continues to climb Organizations are demonstrating their commitment to cloud-based technologies through significant financial investments. In 2025, approximately ** percent of enterprises are expected to spend between *** million and *** million U.S. dollars annually on public cloud services. This substantial investment extends to SaaS industries, with financial services and AI software leading in total funding at nearly ** billion U.S. dollars each. The analytics software industry, closely related to AI, has secured 30 billion U.S. dollars in funding, underscoring the market's confidence in data-driven SaaS solutions.

Data on employment income statistics by industry sectors (2-digit code) from the North American Industry Classification System (NAICS) 2017, Indigenous identity, highest level of education, work activity during the reference year, age and gender, for the population aged 15 years and over who reported weeks worked and employment income in 2020 in private households in Canada, provinces and territories, census metropolitan areas and census agglomerations with parts.

Introduction

Employee Layoff Statistics: Employee layoffs are a prevalent cost-cutting strategy employed by companies during economic downturns or organizational restructuring. In 2024, the technology sector alone witnessed over 136,000 job losses across 422 companies, with major firms like Intel, Cisco, and IBM implementing significant workforce reductions. Intel, for instance, announced plans to lay off 15,000 employees, constituting more than 15% of its workforce, as part of a USD 10 billion cost-reduction initiative.

The financial implications of layoffs extend beyond severance packages. For example, when Meta Platforms Inc. laid off 11,000 employees in November 2022, it incurred approximately USD 975 million in severance costs, averaging over USD 88,000 per employee. Additionally, companies often face indirect costs such as decreased productivity among remaining staff, increased turnover, and higher unemployment insurance taxes.

In India, the impact of layoffs has been significant as well. By August 2024, at least 8,000 individuals had been affected by job cuts, with companies like Paytm announcing reductions of up to 3,500 employees. Furthermore, Reliance Industries reportedly reduced its workforce by 11%, equating to approximately 42,000 jobs, to enhance cost efficiency.

These figures underscore the widespread and multifaceted impact of layoffs on both organizations and employees, highlighting the importance of strategic planning and support mechanisms during such transitions. This article includes recent trends and facts from insights gathered in 2024 and 2025. Let's delve into key statistics to get a clearer picture of the topic.