Intel total employee count in 2024 was 108,900, a 12.74% decline from 2023. Intel total number of employees in 2023 was 124,800, a 5.38% decline from 2022. Intel total number of employees in 2022 was 131,900, a 8.92% increase from 2021. Intel total number of employees in 2021 was 121,100, a 9.49% increase from 2020.

In 2024, the workforce at Intel decreased to ******* employees compared to ******* in 2022. The company generated just over ** billion U.S. dollars in revenue in 2024, with Intel’s net income amounting to a loss of over ** billion U.S. dollars during the same year.

Intel reported 108.9K in Employees for its fiscal year ending in December of 2024. Data for Intel | INTC - Employees Total Number including historical, tables and charts were last updated by Trading Economics this last July in 2025.

In fiscal year 2024, the total number of employees at Intel Corporation was 108,900. The employee count decreasedby 15,900 from 124,800 (in 2023) to 108,900 (in 2024). It represents a -12.74% year-over-year decline in employee count.

In 2023, Intel employed a total of 10,800 workers in Israel. Of this, 3,640 individuals worked in manufacturing and fabrication, mainly in Kiryat Gat. An additional 7,160 people held in development positions in offices in Jerusalem, Haifa and Petah Tikvah.

Intel Corporation's CEO salary and other executives compensation in 2024 was as follows: Patrick P. Gelsinger Former CEO at Intel Corporation, received a total compensation of $27.43 M in 2024, Michelle Johnston Holthaus CEO Intel Products, Former Interim Co-CEO at Intel Corporation, received a total compensation of $12.63 M in 2024, Former EVP and GM, DCAI at Intel Corporation, received a total compensation of $12.58 M in 2024, Justin Hotard at Intel Corporation, received a total compensation of $12.58 M in 2024, David A. Zinsner EVP, CFO, and Former Interim Co-CEO at Intel Corporation, received a total compensation of $12.34 M in 2024, Christoph Schell EVP, CCO, and GM, SMG at Intel Corporation, received a total compensation of $11.49 M in 2024, April Miller Boise at Intel Corporation, received a total compensation of $6.58 M in 2024, EVP and CLO at Intel Corporation, received a total compensation of $6.58 M in 2024.

In 2024, Intel generated **** billion U.S. dollars in revenue, with **** billion U.S. dollars generated by the company's Client Computing Group, its core business unit serving the PC market. Revenues associated with Intel's data center and AI activities amounted to **** billion U.S. dollars in 2024, a part of the business that is expected to receive greater interest moving forward. Integration of AI into PCs and data centers Intel is in a good position to benefit from the growing adoption of AI PCs, with its processor technologies helping to support AI applications on many devices. As well as PCs, growing demand for AI chips across data centers offers Intel further opportunities for growth, particularly as it looks to close the gap on the market leader Nvidia. Strategic initiatives and industry dynamics To strengthen its position in the evolving semiconductor market, Intel has been pursuing strategic initiatives such as its IDM 2.0 strategy. This plan involves expanding manufacturing capabilities and establishing Intel Foundry as a service that can serve external customers, enabling Intel to compete with the leading semiconductor foundries globally.

In the third quarter of 2024, roughly ** percent of x86 computer processor or CPU tests recorded were from Intel processors, while **** percent were AMD processors. When looking solely at laptop CPUs, Intel is the clear winner, accounting for nearly ** percent of laptop CPU test benchmark results in the third quarter of 2024. Traditional x86 processors The x86 is a family of instruction set architectures (ISA) for computer processors, otherwise known as central processing units (CPUs), which were initially developed by Intel. They refer to the way a CPU handles information, with x86 architecture of variable instruction lengths, and primarily of a complex instruction set computer (CISC) design. Although additions and developments to the x86 processor have taken place, backward compatibility has remained a key feature of the architecture; the newer x86 processors can run all the programs that older processors could run. Apple Mac processors The x86 processor is the predominant hardware platform for laptops, desktops, and servers globally. Both Windows and Mac laptops have used x86 chips; previously, Apple’s line of Mac products used PowerPC microprocessors, with the transition to Intel x86 architecture first acknowledged in 2005. The first generation of Intel-based Mac computers were released in January 2006, a partnership that continued through until 2020, where Apple announced the switch of the Mac line from Intel CPUs to Arm-based processors. The decision was made in order to standardize on one CPU architecture for all iPhone, iPad, and Mac products.

In 2024, Intel's research and development expenditure equated to ***** billion U.S. dollars, up slightly from the ***** billion U.S. dollars recorded in the previous year.

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.

En 2023, el número de empleados de Intel ascendía a *******. Esta cifra representa un descenso en casi ***** trabajadores respecto al año previo. La actividad principal de esta multinacional norteamericana es la fabricación y el suministro de chips semiconductores para otros gigantes de la informática de la talla de Apple, Samsung, Hewlett Packard y Dell.

This collection consists of data collated and used in a digital dashboard as part of the 'Valuing local provenance and place-based economies in natural capital and low carbon markets and industries' project under the CSIRO Valuing Sustainability Future Science Platform, 2021-2025. Datasets include: Information about the location, carbon abatement methodologies used, expected co-benefits and government investments made in Land Restoration Fund projects and Australian Carbon Credit Unit (ACCU) Scheme projects in Queensland, Australia (as at 2023); Quantitative data describing populations, businesses, and socio-economic conditions across SA2 and SA3 areas of Queensland, Australia (data from 2021 Census and business registries); Relative frequency that regional plan documents (written by local governments, natural resource management organisations, and Indigenous organisations) refer to drivers of change and benefits they are aspiring to achieve in their future and summaries of these drivers of change and benefit aspirations. The visualisation of these datasets in digital dashboard, co-designed with the Queensland Government staff administering the Land Restoration Fund, supported the identification of key socio-economic characteristics and data sets that could be used to inform investment decisions (alongside environmental datasets) where the objective is to invest in: (1) regions with high-capability, minimising delivery risk of investment; or (2) regions that offer opportunities to build capability through investment.

OpenPack is an open-access logistics dataset for human activity recognition, which contains human movement and package information from 16 subjects in four scenarios. Human movement information is subdivided into three types of data, acceleration, physiological, and depth-sensing. The package information includes the size and number of items included in each packaging job. In the "Humanware laboratory" at IST Osaka University, with the supervision of industrial engineers, an experiment to mimic logistic center labor was designed. 12 workers with previous packaging experience and 4 without experience performed a set of packaging tasks according to an instruction manual from a real-life logistics center. During the different scenarios, subjects were recorded while performing packing operations using Lidar, Kinect, and Realsense depth sensors while wearing 4 ATR IMU devices and 2 Empatica E4 wearable sensors. Besides sensor data, this dataset contains timestamp information collected from the hand terminal used to register product, packet, and address label codes as well as package details that can be useful to relate operations to specific packages. The 4 different scenarios include; sequential packing, worker-decided sequence changes, pre-ordered item packing, and time-sensitive stressors. Each of the subjects performed 20 packing jobs in 5 work sessions for a total of 100 packing jobs. 53+ hours of packaging operations have been labeled into 10 global operation classes and 16 sub-action classes for this dataset. Action classes are not unique to each operation but may only appear in one or two operations. You can find information on how to use this dataset at: https://open-pack.github.io/. For details on how this dataset was collected please check the following publication "OpenPack: A Large-Scale Dataset for Recognizing Packaging Works in IoT-Enabled Logistic Environments" 10.1109/PerCom59722.2024.10494448. Full Dataset In this repository, the data and label files are contained in separate files for each worker. Each worker's file contains; IMU, E4, 2d keypoint, 3d keypoint, annotation, and system-related data. Preprocessed Dataset (IMU with operation and action Labels) We have received many comments that it was difficult to combine multiple workers' IMU and annotation data. Therefore, we have created several CSV files containing the four IMU's sensor data and the operation labels in a single file. These files are now included as "imu-with-operation-action-labels.zip". Preprocessed Dataset (Kinect 2D and 3D keypoint data with operation and action Labels) We have received several requests for a preprocessed dataset containing only specific types of keypoint data with its assigned operation and action labels. Two new preprocessed files have been added for 2D and 3D keypoint data extracted from the frontal view Kinect camera. These files are: "kinect-2d-kpt-with-operation-action-labels.zip", and "kinect-3d-kpt-with-operation-action-labels.zip". Work is continuously being done to update and improve this dataset. When downloading and using this dataset please verify that the version is up to date with the latest release. The latest release [1.1.0] was uploaded on 24/04/2024. Changes LOG: v1.0.0: Add tutorial preprocessed dataset for IMU data with operation labels. v1.1.0: Update preprocessed datasets. (Include Kinect 2d and 3d keypoint data with Operation and action labels) We hosted an activity recognition competition using this dataset (OpenPack v0.3.x) awarded at a PerCom 2023 Workshop! The task was very simple: Recognize 10 work operations from the OpenPack dataset. You can refer to this website for coding materials relevant to this dataset. https://open-pack.github.io/challenge2022 Funding: JSPS KAKENHI Grant Number JP21H05299, and JP21J10059, and JST ACT-X JPMJAX200T

Abstract The semiconductor industry is constantly searching for new ways to increase the rate of both process development and yield learning. As more data is being collected and stored throughout the chip manufacturing process, it has become increasingly more difficult to analyze yield signals using traditional statistical methods. Most of the serious yield issues manifest themselves as non-random electrical failure maps. Our semi-supervised fault detection framework has elements of Spatial Signature Analysis (SSA) to capture yield signals for very large datasets without losing the critical details typically involved with summarization techniques. It includes signature detection, de-noising, clustering, and purification that allow one to create a true spatial response metric of the yield issue. Once this has been accomplished, one can load process data to join with the spatial response and invoke customized rule induction algorithms that generate a set of hypotheses - likely process causes for a specific spatial target response. The framework has been successfully used at Intel and represents an example of the growing influence of modern statistical learning in the semiconductor industry. Speaker: Dr. Eugene Tuv, Intel Dr. Eugene Tuv is a Senior Staff Research Scientist in the Logic Technology Department at Intel. His research interests include supervised and unsupervised non-parametric machine learning with massive heterogeneous data. Prior to Intel he worked as a research scientist in the Institute of Nuclear Research, Ukrainian Academy of Science. He holds postgraduate degrees in Mathematics and Applied Statistics.

As of 2019, most employees in selected tech companies were male. Biotech company 23andMe was ranked first with ** percent female employees, the only company on the list to feature a majority female workforce. Airbnb was ranked second with ***** percent female employees. Hardware-focused companies Intel, Cisco, and Nvidia closed the ranking with less than ** percent female workforce each. One female to every two males in U.S. tech industry     The majority of employees in the U.S. tech industry are male. Round about a third of all employees in tech occupations in the United States are women – Washington D.C., or the District of Columbia, was the state with the greatest tech gender balance in the U.S., with close to ** percent of tech employees there being female in 2019. In general, females also earn less than their male counterparts: males in the U.S. earn around ****** U.S. dollars on average more than females. Types of tech employment    The IT sector employment includes professionals from various sub-fields, such as, technology manufacturing, telecommunications and internet services, software publishing, etc. The worldwide full-time employment in the ICT sector is forecast to grow by around *********** in the next four years. Full-time employees represent close to*** percent of all IT workers worldwide. Other types of employment include outsourced, contractor, or part-time workers.

Intel Des Employés Nombre total - Les valeurs actuelles, des données historiques, des prévisions, des statistiques, des tableaux et le calendrier économique - Jun 2025.Data for Intel | Des Employés | Nombre total including historical, tables and charts were last updated by Trading Economics this last June in 2025.

Intel Funcionários Número total - Valores atuais, dados históricos, previsões, estatísticas, gráficos e calendário econômico - Jul 2025.Data for Intel | Funcionários | Número total including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Global semiconductor manufacturers are experiencing rising demand from downstream consumer electronic, automobile, computer and industrial machinery companies as digital platform adoption and AI development have increased. Competition is rising globally, as the United States and Europe have made significant investments to catch up to Asian nations who lead in developing advanced 5nm and 3nm nodes. Despite the continuous increase in the need for chips, trade conflicts between the West and China, combined with economic disruptions, have led to supply chain inefficiencies, causing revenue to shrink at an expected CAGR of 1.1% to $1.1 trillion through the current period. A significant drop of 13.4% during 2023 stemmed from economic slowdowns in regions such as the UK and in 2024, revenue returned to growth, surging 3.3%. Profit will total 22.9% of revenue in 2024, declining due to the costly nature of developing smaller nodes. The commodity-like nature of semiconductors has fueled the industry's hectic growth pattern. As process nodes shrink, manufacturing has become increasingly more complex and challenging. Architects continuously adjust designs to accommodate miniaturization requirements while thermal management innovation is also becoming crucial. Through the outlook period, companies will develop more powerful semiconductors and bolster revenue. In particular, manufacturers will strive to meet smaller, more functional product requirements. The continued rise of the Internet of Things (IoT) systems and autonomous vehicles will strengthen demand for semiconductors and electrical parts. Revenue will swell at an expected CAGR of 3.7% to $1.3 trillion through 2029. Governments worldwide will continue to prioritize capacity investment, integrating AI and new manufacturing approaches into operations, especially as 2nm and sub-2nm node technology emerge. Potential conflicts with China threaten the stability of the industry however, as a full-scale invasion of Taiwan could lead to a collapse in the market.

With a market capitalization of 3.12 trillion U.S. dollars as of May 2024, Microsoft was the world’s largest company that year. Rounding out the top five were some of the world’s most recognizable brands: Apple, NVIDIA, Google’s parent company Alphabet, and Amazon. Saudi Aramco led the ranking of the world's most profitable companies in 2023, with a pre-tax income of nearly 250 billion U.S. dollars. How are market value and market capitalization determined? Market value and market capitalization are two terms frequently used – and confused - when discussing the profitability and viability of companies. Strictly speaking, market capitalization (or market cap) is the worth of a company based on the total value of all their shares; an important metric when determining the comparative value of companies for trading opportunities. Accordingly, many stock exchanges such as the New York or London Stock Exchange release market capitalization data on their listed companies. On the other hand, market value technically refers to what a company is worth in a much broader context. It is determined by multiple factors, including profitability, corporate debt, and the market environment as a whole. In this sense it aims to estimate the overall value of a company, with share price only being one element. Market value is therefore useful for determining whether a company’s shares are over- or undervalued, and in arriving at a price if the company is to be sold. Such valuations are generally made on a case-by-case basis though, and not regularly reported. For this reason, market capitalization is often reported as market value. What are the top companies in the world? The answer to this question depends on the metric used. Although the largest company by market capitalization, Microsoft's global revenue did not manage to crack the top 20 companies. Rather, American multinational retailer Walmart was ranked as the largest company in the world by revenue. Walmart also had the highest number of employees in the world.

In 2024, semiconductor sales were expected to reach ****** billion U.S. dollars worldwide. Forecasts for 2025 suggest the market will grow by **** percent to ****** billion U.S. dollars. Semiconductor market Semiconductors are an important component of many commonly used electronic devices including smartphones, tablets, and PCs. Notable semiconductor chip makers include Intel and Samsung Electronics, with Intel generating **** billion U.S. dollars and Samsung generating **** billion U.S. dollars in semiconductor revenue in 2023, placing them among the largest companies in terms of semiconductor industry revenues. Market opportunities Smartphones are expected to command a significant part of the semiconductor market going forward, especially as these devices become more advanced and able to support technologies such as augmented reality, virtual reality, 5G, and artificial intelligence. ​Semiconductors for use in servers and data centers are set to become an even more important opportunity, with semiconductor innovation required to support cloud data centers and the rise in edge computing.