The combined number of full- and part-time employees of Amazon.com has increased significantly since 2017. Amazon’s headcount peaked in 2021 when the American multinational e-commerce company employed ********* full- and part-time employees, not counting external contractors. However, in 2024, the number dropped to *********. E-commerce crunch The workforce reduction of Amazon follows the mass layoffs hitting the entire e-commerce sector. With the full reopening of physical stores after the COVID-19 pandemic, online shopping demand decreased, leading online retailers to restructure their businesses, including personnel costs. Diversifying business With online retail sales growing slower due to recession and inflation, Amazon can still leverage other profitable revenue segments — from media subscriptions to server hosting and cloud services. On top of that, in 2023 Amazon monitored small enterprises operating in different fields and strategically invested in them, as disclosed startup acquisitions indicate.

Amazon AWS - Cloud Platforms & Services

Companies using Amazon AWS

We have data on 1,070,574 companies that use Amazon AWS. The companies using Amazon AWS are most often found in United States and in the Computer Software industry. Amazon AWS is most often used by companies with 10-50 employees and 1M-10M dollars in revenue. Our data for Amazon AWS usage goes back as far as 2 years and 1 months.

What is Amazon AWS?

Amazon Web Services (AWS) is a collection of remote computing services, also called web services that make up a cloud computing platform offered by Amazon.com.

Top Industries that use Amazon AWS

Looking at Amazon AWS customers by industry, we find that Computer Software (6%) is the largest segment.

Distribution of companies using Amazon AWS by Industry

 Computer software - 67, 537 companies  Hospitals & Healthcare - 54, 293 companies  Retail - 39, 543 companies  Information Technology and Services - 35, 382 companies  Real Estate - 31, 676 companies  Restaurants - 30, 302 companies  Construction - 29, 207 companies  Automotive - 28, 469 companies  Financial Services - 23, 680 companies  Education Management - 21, 548 companies

Top Countries that use Amazon AWS

49% of Amazon AWS customers are in United States and 7% are in United Kingdom.

Distribution of companies using Amazon AWS by country

 United Sates – 616 2275 companies  United Kingdom – 68 219 companies  Australia – 44 601 companies  Canada – 42 770 companies  Germany – 31 541 companies  India – 30 949 companies  Netherlands – 19 543 companies  Brazil – 17 165 companies  Italy – 14 876 companies  Spain – 14 675 companies

Contact Information of Fields Include:-

• Company Name • Business contact number • Title
• Name • Email Address • Country, State, City, Zip Code • Phone, Mobile and Fax • Website • Industry • SIC & NAICS Code • Employees Size
• Revenue Size
• And more…

Why Buy AWS Users List from DataCaptive?

• More than 1,070,574 companies
• Responsive database • Customizable as per your requirements • Email and Tele-verified list • Team of 100+ market researchers • Authentic data sources

What’s in for you?

Over choosing us, here are a few advantages we authenticate-

• Locate, target, and prospect leads from 170+ countries • Design and execute ABM and multi-channel campaigns • Seamless and smooth pre-and post-sale customer service • Connect with old leads and build a fruitful customer relationship • Analyze the market for product development and sales campaigns • Boost sales and ROI with increased customer acquisition and retention

Our security compliance

We use of globally recognized data laws like –

GDPR, CCPA, ACMA, EDPS, CAN-SPAM and ANTI CAN-SPAM to ensure the privacy and security of our database. We engage certified auditors to validate our security and privacy by providing us with certificates to represent our security compliance.

Our USPs- what makes us your ideal choice?

At DataCaptive™, we strive consistently to improve our services and cater to the needs of businesses around the world while keeping up with industry trends.

• Elaborate data mining from credible sources • 7-tier verification, including manual quality check • Strict adherence to global and local data policies • Guaranteed 95% accuracy or cash-back • Free sample database available on request

Guaranteed benefits of our Amazon AWS users email database!

85% email deliverability and 95% accuracy on other data fields

We understand the importance of data accuracy and employ every avenue to keep our database fresh and updated. We execute a multi-step QC process backed by our Patented AI and Machine learning tools to prevent anomalies in consistency and data precision. This cycle repeats every 45 days. Although maintaining 100% accuracy is quite impractical, since data such as email, physical addresses, and phone numbers are subjected to change, we guarantee 85% email deliverability and 95% accuracy on other data points.

100% replacement in case of hard bounces

Every data point is meticulously verified and then re-verified to ensure you get the best. Data Accuracy is paramount in successfully penetrating a new market or working within a familiar one. We are committed to precision. However, in an unlikely event where hard bounces or inaccuracies exceed the guaranteed percentage, we offer replacement with immediate effect. If need be, we even offer credits and/or refunds for inaccurate contacts.

Other promised benefits

• Contacts are for the perpetual usage • The database comprises consent-based opt-in contacts only • The list is free of duplicate contacts and generic emails • Round-the-clock customer service assistance • 360-degree database solutions

• 500K+ Active Amazon Stores • 200K+ Seller Leads • Platforms USA, Germany, UK, Italy, France, Spain, CA • C-Suite/Marketing/Sales Contacts • FBA/Non-FBA Sellers • 15+ data points available for each prospect • Filter your leads by store size, niche, location, and many more • 100% manually researched and verified.

For over a decade, we have been manually collecting Amazon seller data from various data sources such as Amazon, Linkedin, Google, and others. We are specialized to get valid, and potential data so you may conduct ads and begin selling without hesitation.

We designed our data packages for all types of organizations, thus they are reasonably priced. We are always trying to reduce our prices to better suit all of your requirements.

So, if you’re looking to reach out to your targeted Amazon sellers, now is the greatest time to do so and offer your goods, services, and promotions. You can get your targeted Amazon Sellers List with seller contact information.

Alternatively, if you provide Amazon Seller Names or IDs, we will conduct Custom Research and deliver the customized list to you.

Data Points Available:

Full Name Linkedin URL Direct Email Generic Phone Number Business Name and Address Company Website Seller IDs and URLs Revenue Seller Review Count Niche FBA/Non-FBA Country and More

SAS data file used to produce results for article published in the Journal of Business and Psychology examining the impact of financial strain on work-family conflict during COVID-19. https://doi.org/10.1007/s10869-025-10063-2 Data were collected at seven time points between April 2020 and October 2020 using a longitudinal panel design. Participants were workers registered with Amazon's Mechanical Turk who were located in the United States Abstract: The announcements of pandemic lockdown measures across North America in mid-March 2020 marked the start of a chaotic period with extensive changes at work and at home. Because families experiencing financial strain had fewer resources to help manage work and family demands, the present study examined how financial strain at the within- and between-person levels influenced work interference with family (WIF) and family interference with work (FIW) and whether those experiences were moderated by childcare and eldercare responsibilities. Using a longitudinal panel design, 538 workers recruited through Amazon’s Mechanical Turk responded to seven surveys between April and October 2020 asking about financial strain, WIF, and FIW. Multilevel modeling showed that an individual's average financial strain over the seven-month period was associated with higher WIF and FIW; however, a higher-than-usual level of financial strain was associated only with higher FIW. Interactions of financial strain with childcare and eldercare were not significant. At the between-person level, financial strain was an important contributor to WIF and FIW, even after accounting for childcare and eldercare. Consistent with conservation of resources theory, these findings suggest that financial strain represents a perceived threat that actively draws on limited personal resources, thereby reducing capacity to manage work-family conflict. This underscores the need for greater support for families experiencing financial strain. In addition to fair pay and benefits, organizations could consider novel approaches to reducing financial strain amongst employees such as financial counselling and emergency income replacement funds. This readme file was generated on 2025-07-25 by Christine Tulk -------------------- GENERAL INFORMATION -------------------- 1. Title of Dataset: The Impact of Financial Strain on Work-Family Conflict During COVID-19 2. Author Information Name: Christine Tulk ORCID: 0000-0001-7312-7406 Institution: Carleton University Address: Ottawa, Canada Email: christine.tulk@carleton.ca 3. Date of data collection: 538 responses at Time 1 (April 17-18), 320 responses at Time 2 (May 4-11), 263 responses at Time 3 (June 6-13), 250 responses at Time 4 (July 9-16), 225 responses at Time 5 (Aug 17-24), 203 responses at Time 6 (Sept 26 - Oct 3), and 181 responses at Time 7 (Oct 28 - Nov 4) 4. Geographic location of data collection: MTurk workers located in the United States 5. Dataset Description: The data are formatted in long format suitable for multilevel modeling with one row per time point per participant. ----------------------------------- SHARING/ACCESS INFORMATION ----------------------------------- Links to publications that cite or use the data: https://doi.org/10.1007/s10869-025-10063-2 ------------------------- DATA & FILE OVERVIEW ------------------------- 1. File List: financial_strain.sas7bdat - SAS data file financial_strain.csv - Text file 3. Additional related data collected that was not included in the current data package: Additional variables were collected and are available upon reasonable request from the author. --------------------------- METHODOLOGICAL INFORMATION --------------------------- 1. Description of methods used for collection/generation of data: Collected by surveys administered at seven times between April 2020 and October 2020 2. Methods for processing the data: Data were initially downloaded from the Qualtrics web site in Excel format and imported into SAS. ------------------------------------------- DATA-SPECIFIC INFORMATION FOR: financial_strain.csv/sas7bdat ------------------------------------------- 1. Number of variables: 2. Number of cases/rows: 1977 rows 3. Variable List: id (Level 2): participant id Gender (Level 2): man = 0, woman = 1 BC_Emotion (Level 2): Measure of emotion-focused coping BC_Problem (Level 2): Measure of problem-focusing coping BC_Support (Level 2): Measure of support-focused coping FinM (Level 2): Person-averaged financial strain FinCM (Level 2): Person-averaged financial strain centered around group mean Child (Level 2): 0 = No childcare responsibilities 1 = Childcare responsibilities Elder (Level 2): 0 = No eldercare responsibilities 1 = Eldercare responsibilities Partner (Level 2): 0 = Not partnered (e.g., single, divorced) 1 = Partnered (e.g., married) wfcM (Level 2): Person-averaged work-to-family conflict fwcM (Level 2): Person-averaged family-to-work conflict HoursM (Level 2): Person-averaged average work hours per...

From 2004 to 2024, the net revenue of Amazon e-commerce and service sales has increased tremendously. In the fiscal year ending December 31, the multinational e-commerce company's net revenue was almost *** billion U.S. dollars, up from *** billion U.S. dollars in 2023.Amazon.com, a U.S. e-commerce company originally founded in 1994, is the world’s largest online retailer of books, clothing, electronics, music, and many more goods. As of 2024, the company generates the majority of it's net revenues through online retail product sales, followed by third-party retail seller services, cloud computing services, and retail subscription services including Amazon Prime. From seller to digital environment Through Amazon, consumers are able to purchase goods at a rather discounted price from both small and large companies as well as from other users. Both new and used goods are sold on the website. Due to the wide variety of goods available at prices which often undercut local brick-and-mortar retail offerings, Amazon has dominated the retailer market. As of 2024, Amazon’s brand worth amounts to over *** billion U.S. dollars, topping the likes of companies such as Walmart, Ikea, as well as digital competitors Alibaba and eBay. One of Amazon's first forays into the world of hardware was its e-reader Kindle, one of the most popular e-book readers worldwide. More recently, Amazon has also released several series of own-branded products and a voice-controlled virtual assistant, Alexa. Headquartered in North America Due to its location, Amazon offers more services in North America than worldwide. As a result, the majority of the company’s net revenue in 2023 was actually earned in the United States, Canada, and Mexico. In 2023, approximately *** billion U.S. dollars was earned in North America compared to only roughly *** billion U.S. dollars internationally.

Discover the unparalleled potential of our comprehensive eCommerce leads database, featuring essential data fields such as Store Name, Website, Contact First Name, Contact Last Name, Email Address, Physical Address, City, State, Country, Zip Code, Phone Number, Revenue Size, Employee Size, and more on demand.

With a focus on Shopify, Amazon, eBay, and other global retail stores, this database equips you with accurate information for successful marketing campaigns. Supercharge your marketing efforts with our enriched contact and company database, providing real-time, verified data insights for strategic market assessments and effective buyer engagement across digital and traditional channels.

• 4M+ eCommerce Companies • 40M+ Worldwide eCommerce Leads • Direct Contact Info for Shop Owners • 47+ eCommerce Platforms • 40+ Data Points • Lifetime Access • 10+ Data Segmentations • Sample Data"

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 ** thousand employees being laid off. By the second quarter, layoffs impacted more than ** thousand tech employees. In the final quarter of the year around ** 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 ***** 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 *** thousand laid off employees in the global tech sector by the 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.