In 2024, Amazon's net revenue from subscription services segment amounted to 44.37 billion U.S. dollars. Subscription services include Amazon Prime, for which Amazon reported 200 million paying members worldwide at the end of 2020. The AWS category generated 107.56 billion U.S. dollars in annual sales. During the most recently reported fiscal year, the company’s net revenue amounted to 638 billion U.S. dollars. Amazon revenue segments Amazon is one of the biggest online companies worldwide. In 2019, the company’s revenue increased by 21 percent, compared to Google’s revenue growth during the same fiscal period, which was just 18 percent. The majority of Amazon’s net sales are generated through its North American business segment, which accounted for 236.3 billion U.S. dollars in 2020. The United States are the company’s leading market, followed by Germany and the United Kingdom. Business segment: Amazon Web Services Amazon Web Services, commonly referred to as AWS, is one of the strongest-growing business segments of Amazon. AWS is a cloud computing service that provides individuals, companies and governments with a wide range of computing, networking, storage, database, analytics and application services, among many others. As of the third quarter of 2020, AWS accounted for approximately 32 percent of the global cloud infrastructure services vendor market.

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.

Amazon Product Reviews

18 Years of Customer Ratings and Experiences

By Huggingface Hub [source]

About this dataset

The Amazon Reviews Polarity Dataset discloses eighteen years of customers' ratings and reviews from Amazon.com, offering an unparalleled trove of insight and knowledge. Drawing from the immense pool of over 35 million customer reviews, this dataset presents a broad spectrum of customer opinions on products they have bought or used. This invaluable data is a gold mine for improving products and services as it contains comprehensive information regarding customers' experiences with a product including ratings, titles, and plaintext content. At the same time, this dataset contains both customer-specific data along with product information which encourages deep analytics that could lead to great advances in providing tailored solutions for customers. Has your product been favored by the majority? Are there any aspects that need extra care? Use Amazon Reviews Polarity to gain deeper insights into what your customers want - explore now!

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How to use the dataset

• Analyze customer ratings to identify trends: Take a look at how many customers have rated the same product or service with the same score (e.g., 4 stars). You can use this information to identify what customers like or don’t like about it by examining common sentiment throughout the reviews. Identifying these patterns can help you make decisions on which features of your products or services to emphasize in order to boost sales and satisfaction rates.

2 Review content analysis: Analyzing review content is one of the best ways to gauge customer sentiment toward specific features or aspects of a product/service. Using natural language processing tools such as Word2Vec, Latent Dirichlet Allocation (LDA), or even simple keyword search algorithms can quickly reveal general topics that are discussed in relation to your product/service across multiple reviews - allowing you quickly pinpoint areas that may need improvement for particular items within your lines of business.

3 Track associated scores over time: By tracking customer ratings overtime, you may be able to better understand when there has been an issue with something specific related to your product/service - such as negative response toward a feature that was introduced but didn’t seem popular among customers and was removed shortly after introduction.. This can save time and money by identifying issues before they become widespread concerns with larger sets of consumers who invest their money in using your company's item(s).

4 Visualize sentiment data over time graphs : Utilizing visualizations such as bar graphs can help identify trends across different categories quicker than raw numbers alone; combining both numeric values along with color differences associated between different scores allows you spot anomalies easier - allowing faster resolution times when trying figure out why certain spikes occurred where other stayed stable (or vice-versa) when comparing similar data points through time-series based visualization models

Research Ideas

• Developing a customer sentiment analysis system that can be used to quickly analyze the sentiment of reviews and identify any potential areas of improvement.
• Building a product recommendation service that takes into account the ratings and reviews of customers when recommending similar products they may be interested in purchasing.
• Training a machine learning model to accurately predict customers’ ratings on new products they have not yet tried and leverage this for further product development optimization initiatives

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: train.csv | Column name | Description | |:--------------|:-------------------------------------------------------------------| | label | The sentiment of the review, either positive or negative. (String) | | title | The title of the review. (String) ...

Amazon revenue for the twelve months ending March 31, 2025 was $650.313B, a 10.08% increase year-over-year. Amazon annual revenue for 2024 was $637.959B, a 10.99% increase from 2023. Amazon annual revenue for 2023 was $574.785B, a 11.83% increase from 2022. Amazon annual revenue for 2022 was $513.983B, a 9.4% increase from 2021.

In the first quarter of 2025, revenues of Amazon Web Services (AWS) rose to 17 percent, a decrease from the previous three quarters. AWS is one of Amazon’s strongest revenue segments, generating over 115 billion U.S. dollars in 2024 net sales, up from 105 billion U.S. dollars in 2023. Amazon Web Services Amazon Web Services (AWS) provides on-demand cloud platforms and APIs through a pay-as-you-go-model to customers. AWS launched in 2002 providing general services and tools and produced its first cloud products in 2006. Today, more than 175 different cloud services for a variety of technologies and industries are released already. AWS ranks as one of the most popular public cloud infrastructure and platform services running applications worldwide in 2020, ahead of Microsoft Azure and Google cloud services. Cloud computing Cloud computing is essentially the delivery of online computing services to customers. As enterprises continually migrate their applications and data to the cloud instead of storing it on local machines, it becomes possible to access resources from different locations. Some of the key services of the AWS ecosystem for cloud applications include storage, database, security tools, and management tools. AWS is among the most popular cloud providers Some of the largest globally operating enterprises use AWS for their cloud services, including Netflix, BBC, and Baidu. Accordingly, AWS is one of the leading cloud providers in the global cloud market. Due to its continuously expanding portfolio of services and deepening of expertise, the company continues to be not only an important cloud service provider but also a business partner.

• 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

According to Cognitive Market Research, the global Ai Training Data market size is USD 1865.2 million in 2023 and will expand at a compound annual growth rate (CAGR) of 23.50% from 2023 to 2030.

The demand for Ai Training Data is rising due to the rising demand for labelled data and diversification of AI applications.
Demand for Image/Video remains higher in the Ai Training Data market.
The Healthcare category held the highest Ai Training Data market revenue share in 2023.
North American Ai Training Data will continue to lead, whereas the Asia-Pacific Ai Training Data market will experience the most substantial growth until 2030.

Market Dynamics of AI Training Data Market

Key Drivers of AI Training Data Market

Rising Demand for Industry-Specific Datasets to Provide Viable Market Output

A key driver in the AI Training Data market is the escalating demand for industry-specific datasets. As businesses across sectors increasingly adopt AI applications, the need for highly specialized and domain-specific training data becomes critical. Industries such as healthcare, finance, and automotive require datasets that reflect the nuances and complexities unique to their domains. This demand fuels the growth of providers offering curated datasets tailored to specific industries, ensuring that AI models are trained with relevant and representative data, leading to enhanced performance and accuracy in diverse applications.

In July 2021, Amazon and Hugging Face, a provider of open-source natural language processing (NLP) technologies, have collaborated. The objective of this partnership was to accelerate the deployment of sophisticated NLP capabilities while making it easier for businesses to use cutting-edge machine-learning models. Following this partnership, Hugging Face will suggest Amazon Web Services as a cloud service provider for its clients.

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Advancements in Data Labelling Technologies to Propel Market Growth

The continuous advancements in data labelling technologies serve as another significant driver for the AI Training Data market. Efficient and accurate labelling is essential for training robust AI models. Innovations in automated and semi-automated labelling tools, leveraging techniques like computer vision and natural language processing, streamline the data annotation process. These technologies not only improve the speed and scalability of dataset preparation but also contribute to the overall quality and consistency of labelled data. The adoption of advanced labelling solutions addresses industry challenges related to data annotation, driving the market forward amidst the increasing demand for high-quality training data.

In June 2021, Scale AI and MIT Media Lab, a Massachusetts Institute of Technology research centre, began working together. To help doctors treat patients more effectively, this cooperation attempted to utilize ML in healthcare.

www.ncbi.nlm.nih.gov/pmc/articles/PMC7325854/

Restraint Factors Of AI Training Data Market

Data Privacy and Security Concerns to Restrict Market Growth

A significant restraint in the AI Training Data market is the growing concern over data privacy and security. As the demand for diverse and expansive datasets rises, so does the need for sensitive information. However, the collection and utilization of personal or proprietary data raise ethical and privacy issues. Companies and data providers face challenges in ensuring compliance with regulations and safeguarding against unauthorized access or misuse of sensitive information. Addressing these concerns becomes imperative to gain user trust and navigate the evolving landscape of data protection laws, which, in turn, poses a restraint on the smooth progression of the AI Training Data market.

How did COVID–19 impact the Ai Training Data market?

The COVID-19 pandemic has had a multifaceted impact on the AI Training Data market. While the demand for AI solutions has accelerated across industries, the availability and collection of training data faced challenges. The pandemic disrupted traditional data collection methods, leading to a slowdown in the generation of labeled datasets due to restrictions on physical operations. Simultaneously, the surge in remote work and the increased reliance on AI-driven technologies for various applications fueled the need for diverse and relevant training data. This duali...

Introduction

Amazon, Alibaba, and eBay: The Giants of E-commerce

Three companies have revolutionised how we shop online: Amazon, Alibaba, and eBay. Their origins, growth, and impact on global commerce are remarkable: - Amazon: Founded by Jeff Bezos in 1994, Amazon began as an online bookstore. It rapidly expanded its product range, invested heavily in technology and logistics, and introduced groundbreaking services like Amazon Prime and Amazon Web Services (AWS). Today, Amazon is a leader in e-commerce, cloud computing, and innovation. - Alibaba: Founded by Jack Ma in 1999, Alibaba aimed to connect Chinese manufacturers with international buyers. Through platforms like Alibaba.com, Taobao, and Tmall, it transformed e-commerce in China and became a global player in digital payments and financial services through Ant Group. - eBay: Started by Pierre Omidyar in 1995 as an online auction site, eBay quickly became a popular platform for buying and selling a wide variety of goods. It pioneered consumer-to-consumer (C2C) commerce, fostered a vibrant online community, and expanded globally.

These companies have distinct strengths and growth trajectories: - Amazon leads in technological innovation and customer-centric services. - Alibaba dominates the Chinese market and is influential in digital payments. - eBay pioneered C2C commerce and maintains a strong global presence.

Together, Amazon, Alibaba, and eBay have shaped the modern e-commerce landscape, democratised commerce, and continue to influence how we buy and sell goods around the world.

Amazon, Alibaba, and eBay, their origins, sales, growth, and impact:

Amazon

Founding and Early Days

• Founded: July 5, 1994
• Founder: Jeff Bezos
• Headquarters: Seattle, Washington, USA

Amazon began as an online bookstore. Jeff Bezos, who was then a Wall Street hedge fund executive, decided to capitalise on the growth of the internet in the 1990s. He left his job, moved to Seattle, and started Amazon in his garage.

Growth and Expansion

• Initial Growth: The company's initial business model allowed it to offer more books than traditional bookstores. The first book sold was "Fluid Concepts and Creative Analogies" by Douglas Hofstadter.
• Diversification: By the late 1990s, Amazon expanded its product line to include electronics, toys, and household goods. This diversification helped Amazon grow rapidly.
• Technology and Logistics: Amazon invested heavily in technology and logistics to improve its supply chain efficiency. It built extensive warehousing and delivery infrastructure, which became critical to its success.

Key Milestones

• Amazon Prime: Launched in 2005, this subscription service offers free two-day shipping, streaming services, and other benefits. It became a significant driver of customer loyalty.
• AWS (Amazon Web Services): Started in 2006, AWS provides cloud computing services and has become a major revenue source for Amazon, establishing it as a leader in the tech industry.
• Acquisitions: Amazon acquired several companies to bolster its offerings, including Zappos, Whole Foods Market, and Ring.

Impact

• E-commerce Leader: Amazon revolutionised online shopping with its vast selection, customer reviews, and recommendation algorithms.
• Economic Influence: The company's practices have influenced labour, retail, and technology sectors globally.
• Innovation: Amazon has pioneered in areas like AI with Alexa, cashier-less stores with Amazon Go, and drone delivery with Prime Air.

Visualisation

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A Markdown document with R code for the above chart, with a full chart explanation. link

Amazon Chart

• Significant Growth: Steady increase in quarterly sales revenue over the years.
• Seasonal Influence: Strong seasonal fluctuations, with Q4 consistently being the highest-performing quarter due to the holiday season.
• Revenue Variability: Expanding range of quarterly sales, reflecting business growth.
• Quarterly Performance: Consistent relative performance of each quarter, with Q4 standing out.

Alibaba

Founding and Early Days

• Founded: April 4, 1999
• Founder: Jack Ma and a team of 17 others
• Headquarters: Hangzhou, Zhejiang, China

Jack Ma, a former English teacher, founded Alibaba to connect Chinese manufacturers with international buyers. He aimed to support small and medium-sized enterprises (SMEs) in China by leveraging the internet.

Growth and Expansion

• Early Strategy: Alibaba started with Alibaba.com, a B2B marketplace that connected Chinese bu...

The rise in remote work and digital transformation initiatives has accelerated the demand for robust and scalable solutions offered by the database, storage and backup software publishing industry. Cloud adoption has surged, with downstream businesses in finance and healthcare increasingly relying on cloud-based databases and storage systems to ensure accessibility and resilience. To capture demand, publishers have grown revenue through subscription-based offerings, which have expanded the industry's reach and provided recurring revenue over the past five years. Driven by a 47.9% surge in 2021, industry revenue has increased at a CAGR of 10.2% to reach $98.9 billion, including growth of 2.5% in 2025. Advancements in cloud and digital technology have paved the way for new freemium substitutes, reshaping industry competition and introducing operational challenges. As new, cost-effective solutions emerge, traditional publishers have faced the challenge of differentiating their offerings while maintaining profitability. Leading companies such as Microsoft and Oracle have responded with investments in compatibility capabilities and AI features that have been designed to retain users as more options become available. Combined with the emerging threat of cyber attacks, however, these investments have weighed on industry profitability as greater resources are now needed to support different initiatives. With freemium models here to stay, industry revenue growth will decelerate moving forward. Users are expected to demand free tiers among leading publishers, who have already deployed these subscription models at the cost of revenue growth. Despite these trends, however, publishers are expected to benefit from data center expansions and upgrades, which will provide them with the necessary infrastructure to develop next-generation AI and edge computing offerings. With billions of dollars being invested in these areas, industry revenue will be sustained and rise at a CAGR of 2.5% over the next five years to reach $112.0 billion in 2030.

It’s Amazon’s world, and we’re just living in it. At least, that’s what it feels like most days. Just look at the stats: There are 2.3 million active sellers on Amazon this year Amazon Prime has 126 million members in the US alone Amazon’s sales revenue was $75.5 billion – just in the first quarter […]

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

The US data processing and hosting services industry is navigating a dynamic environment marked by rising demands and revolutionary trends. As digitalization accelerates, data centers have evolved from simple infrastructure to essential strategic assets. These hubs now power services ranging from cloud computing to advanced data analytics. In 2025, the data processing and hosting service market includes giants like Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP). Industry revenue currently sits at $383.8 billion, growing robustly at a CAGR of 9.2% over the past five years, including a 6.2% surge in 2025 alone. Alongside leading tech firms, smaller specialized providers cater to sectors like healthcare, financial services and government agencies with precision-placed data storage solutions. Emerging trends significantly influence the evolution of the US data processing and hosting services industry. Prominent among these is edge computing, a decentralized approach that locates data centers closer to end-user devices. Along with AI and modern data centers, these innovations aim to reduce latency and enhance application performance by minimizing resource usage in data transmission, thereby promoting broader adoption of cloud computing. Despite this transformative growth, the US data processing and hosting services industry faces significant hurdles, including a skill gap, escalating energy costs and escalating cybersecurity threats. This scarcity has heightened the focus on software automation, leading many facilities to implement AI solutions. Though offshoring trends lead to lost business for many participants, this activity is limited and the industry still benefits from strong demand, leading to rising profit. The industry is projected to grow at a CAGR of 2.4% to $431.4 billion by 2030. The future holds a mix of challenges and opportunities for the industry. Strategic investments in human capital and advanced technologies will distinguish industry leaders from laggards. Compliance with evolving data sovereignty and privacy regulations will determine local market competitiveness. Continuous innovation is expected to drive this progress, solidifying data centers' roles as pivotal components shaping the digital landscape ahead.

The accuracy of machine learning tasks critically depends on high quality ground truth data. Therefore, in many cases, producing good ground truth data typically involves trained professionals; however, this can be costly in time, effort, and money. Here we explore the use of crowdsourcing to generate a large number of training data of good quality. We explore an image analysis task involving the segmentation of corn tassels from images taken in a field setting. We investigate the accuracy, speed and other quality metrics when this task is performed by students for academic credit, Amazon MTurk workers, and Master Amazon MTurk workers. We conclude that the Amazon MTurk and Master Mturk workers perform significantly better than the for-credit students, but with no significant difference between the two MTurk worker types. Furthermore, the quality of the segmentation produced by Amazon MTurk workers rivals that of an expert worker. We provide best practices to assess the quality of ground truth data, and to compare data quality produced by different sources. We conclude that properly managed crowdsourcing can be used to establish large volumes of viable ground truth data at a low cost and high quality, especially in the context of high throughput plant phenotyping. We also provide several metrics for assessing the quality of the generated datasets.

On December 16, 2021 the IRS announced that it would discontinue updates to the IRS 990 Filings dataset on AWS, starting December 31, 2021.The IRS has requested public inquiries be directed to +1-800-829-1040.Machine-readable data from certain electronic 990 forms filed with the IRS from 2013 to present.

Context

This notebook contains a thorough analysis and explanation related to the survey conducted by Kaggle. The survey was conducted on respondents from work backgrounds, age variations, where they lived, the companies where they worked. Survey questions contain about the world of the field they work in related to Data Scient and Machine Learning.

Content

The following Explanatory Data Analysis is taking data from survey results conducted by Kaggle in 2019 on respondents who give questions about Mechine Learning and Data Scients. Some core points that are in this analysis are as follows, 1. Graph Distribution Age with Formal Education 2. Plot Graph Company and Spent Money in Mechine Learning 3. Comparison spent cost level in Mechine Learning by each company 4. Data Scientist Experience & Their Compensation 5. Correlation between Mechine Learning Experience and Salary benefit 6. Correlation Data Scientist with his Compensation 7. Favourite Media source on Data Scients Topic 8. Favourite media by Age Distribution, Most Likely media by Data Scientist 9. Course Platform for Data Scientist 10. Role Job for each Title, Primary Job of Data Scientist 11. Reguler Programming Languange by Job Title, especially for Data Scientist 12. Comparison Ability spesific programming and Compensation 13. What is the Languange programming learn first aspiring Data Scientist? 14. Integrated Development Environments reguler basis 15. Top 5 IDE and Which Country is using it. Microsoft not dominant in USA 16. What is Notebook as majority likely as a Reguler Basis. Google domination 17. Which Country and What Company use What Hardware for Mechine Learning 18. Role Job based on Spesific Company Type 19. Computer Vision method mostly used by Company 20. Distribution Company by each country 21. Cloud Product, Amazon domination, Goole follow 22. Big Data Product, Amazon majority in Enterprise, Google majority in All

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

The app analytics market, valued at $7.29 billion in 2025, is experiencing robust growth, projected to expand at a compound annual growth rate (CAGR) of 21.09% from 2025 to 2033. This surge is driven by several key factors. The increasing adoption of mobile applications across diverse industries, coupled with the rising need for businesses to understand user behavior and optimize app performance, fuels the demand for sophisticated analytics solutions. Furthermore, advancements in data analytics technologies, including artificial intelligence (AI) and machine learning (ML), are enabling more insightful and actionable data analysis, further propelling market expansion. The diverse application of app analytics across marketing/advertising, revenue generation, and in-app performance monitoring across various sectors like BFSI, e-commerce, media, travel and tourism, and IT and telecom significantly contributes to this growth. The market is segmented by deployment (mobile apps and website/desktop apps) and end-user industry, with mobile app analytics currently dominating due to the widespread adoption of smartphones. The competitive landscape is characterized by a mix of established technology giants like Google and Amazon alongside specialized app analytics providers like AppsFlyer and Mixpanel. These companies are continuously innovating, integrating new technologies, and expanding their product offerings to cater to the evolving needs of businesses. While the North American market currently holds a significant share, the Asia-Pacific region is expected to witness substantial growth in the coming years driven by increasing smartphone penetration and digitalization initiatives. However, factors like data privacy concerns and the rising complexity of integrating various analytics tools could pose challenges to market growth. Nonetheless, the overall outlook for the app analytics market remains positive, indicating substantial opportunities for players across the value chain. Recent developments include: June 2024 - Comscore and Kochava unveiled an innovative performance media measurement solution, providing marketers with enhanced insights. This cutting-edge cross-screen solution empowers marketers to understand better how linear TV ad campaigns impact both online and offline actions. By integrating Comscore’s Exact Commercial Ratings (ECR) data with Kochava’s sophisticated marketing mix modeling, the solution facilitates the measurement of crucial metrics, including mobile app activities (such as installs and in-app purchases) and website interactions., June 2024 - AppsFlyer announced its integration of the Data Collaboration Platform with Start.io, an omnichannel advertising platform that focuses on real-time mobile audiences for publishers. Through this collaboration, businesses leveraging the AppsFlyer Data Collaboration Platform can merge their Start.io data with campaign metrics and audience insights, creating a more comprehensive dataset for precise audience targeting.. Key drivers for this market are: Increasing Usage of Mobile/Web Apps Across Various End-user Industries, Increasing Adoption of Technologies like 5G Technology and Deeper Penetration of Smartphones; Increase in the Amount of Time Spent on Mobile Devices Coupled With the Increasing Focus on Enhancing Customer Experience. Potential restraints include: Increasing Usage of Mobile/Web Apps Across Various End-user Industries, Increasing Adoption of Technologies like 5G Technology and Deeper Penetration of Smartphones; Increase in the Amount of Time Spent on Mobile Devices Coupled With the Increasing Focus on Enhancing Customer Experience. Notable trends are: Media and Entertainment Industry Expected to Capture Significant Share.

Canadian data processing and hosting services are in a phase of rapid transformation driven by increasing reliance on cloud computing, accelerated digital demand, combined with a pressing need for robust cybersecurity measures. Datacenter owners have benefited from substantial public sector support, particularly tax breaks and subsidies, aligning the sector's growth trajectory with national economic priorities. These support mechanisms have allowed datacenter companies to build large data complexes, critical for sustaining the new digital economy's infrastructure, and helping the industry to grow at a dramatic CAGR of 8.8% to $16.1 billion in 2024, when revenue will expand 1.4% and profit will center at 7.6%. The rise in cloud computing has been a watershed moment, redefining how businesses manage and access their data. Data processors benefit as companies continue to outsource IT needs to streamline operations and cut costs. The market's crowded nature and high barriers to entry, such as legal compliance and startup costs, make differentiation necessary. Leading companies are navigating these challenges by pivoting to niche markets like healthcare and defense that require specialized compliance and security features. Competition dynamics also hinge on the power balance between buyers and suppliers. High buyer power is evident, particularly from sectors like IT consulting and software publishing, driving data providers to secure long-term contracts and customizable solutions to reduce churn. Meanwhile, hardware suppliers exert significant influence, particularly in segments requiring advanced technologies like AI. Some industry leaders are advancing toward vertical integration by developing proprietary hardware to mitigate this. The Canadian data processing landscape anticipates moderate but steady growth at a CAGR of 1.5% and will attempt to reach $17.4 billion. Embracing emerging technologies such as AI and machine learning will be crucial for success. Moreover, focusing on sustainability through renewable energy sources can help manage operational costs while enhancing corporate reputation. Providing scalable, secure, and innovative data solutions will empower operators to meet domestic and international client demands, ensuring competitiveness and resilience in an increasingly digital world.

According to Cognitive Market Research, the global data warehouse as a service market was USD 4,874.9 million in 2022 and will grow at a compound annual growth rate (CAGR) of 23.5% from 2023 to 2030. How are the Key Drivers Affecting the Data Warehouse as a Service Market?

Rising Demand for High Speed And Low Latency Analytics is Driving the Data Warehouse as a Service Market

The rising demand for high-speed and low-latency analytics propels the Data Warehouse as a Service (DWaaS) Market. Businesses require real-time insights from vast datasets to make agile decisions. DWaaS platforms can process and analyze data rapidly, enabling quicker response times.

In May 2021, WPP unveiled a collaboration with Microsoft aimed at innovative content production transformation by introducing Cloud Studio.

(Source:http://news.microsoft.com/2021/05/05/wpp-and-microsoft-to-creatively-transform-content-production-through-new-cloud-studio-partnership/)

With the need to extract actionable insights swiftly, DWaaS solutions cater to this demand, enhancing operational efficiency, improving decision-making, and bolstering organizations' competitiveness in the rapidly evolving digital landscape.

The Factors Restraining the Growth of the Data Warehouse as a Service Market

Data Security Concerns are Restraining the Data Warehouse as a Service Market

Data security concerns constrain the Data Warehouse as a Service (DWaaS) Market. Organizations hesitate to migrate sensitive data to cloud-based solutions due to potential breaches, unauthorized access, and compliance risks. Ensuring robust encryption, authentication, and compliance with data protection regulations is challenging. Building trust in cloud-based storage and analytics security is crucial for wider DWaaS adoption as businesses prioritize safeguarding their valuable data assets.

Impact of the COVID-19 Pandemic on the Data Warehouse as a Service Market:

COVID-19 significantly disrupted the Data Warehouse as a Service (DWaaS) market. The pandemic's remote work requirements accelerated the demand for cloud-based data solutions. Organizations sought scalable and accessible DWaaS to accommodate changing data needs. Simultaneously, economic uncertainties led some businesses to delay or reconsider investments. The DWaaS landscape responded with increased emphasis on flexibility, remote accessibility, cost optimization, and robust security measures to address the evolving challenges posed by the pandemic. Introduction of Data Warehouse as a Service:

The data warehouse as a service (DWaaS) Market is growing due to businesses' increasing need for scalable and cost-effective data management solutions. DWaaS offers the flexibility to handle large and diverse data sets, enabling data-driven decision-making. The cloud-based nature of DWaaS streamlines implementation reduces infrastructure costs, and ensures easy accessibility, contributing to its rapid adoption and market expansion.

In February 2021, AWS launched the Amazon Redshift Query Editor, compatible with ENHANCED cluster VPC routing. This feature extends support to all node types, and the query time-out limit was extended from 10 minutes to 24 hours for handling queries with longer execution times.

(Source:http://aws.amazon.com/about-aws/whats-new/2021/02/amazon-redshift-query-editor-supports-clusters-with-enhanced-vpc-routing-query-run-times-node-types/)

In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing ** percent.