The Registry of Open Data on AWS contains publicly available datasets that are available for access from AWS resources. Note that datasets in this registry are available via AWS resources, but they are not provided by AWS; these datasets are owned and maintained by a variety of government organizations, researchers, businesses, and individuals. This dataset contains derived forms of the data in https://github.com/awslabs/open-data-registry that have been transformed for ease of use with machine interfaces. Currently, only the ndjson form of the registry is populated here.

The Data Exchange Platform Services Marketsize was valued at USD 1.3 billion in 2023 and is projected to reach USD 7.5 billion by 2032, exhibiting a CAGR of 19.15 % during the forecast period. The market of data exchange platform services includes services that are required to provide strict capability of exchanging data between various organizations, systems, and/or applications. They include an integration hub used for accepting, transforming, and routing data in real time according to its source and format. Besides, there are several use cases associated with Data Exchange platforms, including Inter-Organization Data Sharing, Cloud-Application Integration, and From Cloud to On-Prem, Off-Prem Applications Data Transfer. These include financing, medical, sales and industrial production, statistic and analytical, provision of goods and services, as well as meeting clients’ requirements. These trends include the need for cloud as a scale-out solution, data management, and security issues, and some disciplines have different need-states for platforms. To utilize data as a competitive tool, the market of the data exchange platform services is gradually developing at this moment and a new market is being formed. Recent developments include: November 2019: Amazon Web Services (AWS) partnered with Deloitte to help customers securely find, subscribe to, and use third-party data in the cloud using AWS Data Exchange, a new service that can help address unique healthcare issues. March 2020: Google Cloud Platform (GCP) launched Anthos, a new platform that enables businesses to run their applications across multiple clouds and on-premises environments. Anthos includes a data exchange feature that allows businesses to share data between their applications, regardless of where they are deployed.. Key drivers for this market are: Increasing Adoption of Cloud-based Managed Services to Drive Market Growth. Potential restraints include: Misuse of Virtual Currency and Security Attacks Confines the Adoption of Cryptocurrencies. Notable trends are: Growing Implementation of Touch-based and Voice-based Infotainment Systems to Increase Adoption of Intelligent Cars.

A multidisciplinary repository of public data sets such as the Human Genome and US Census data that can be seamlessly integrated into AWS cloud-based applications. AWS is hosting the public data sets at no charge for the community. Anyone can access these data sets from their Amazon Elastic Compute Cloud (Amazon EC2) instances and start computing on the data within minutes. Users can also leverage the entire AWS ecosystem and easily collaborate with other AWS users. If you have a public domain or non-proprietary data set that you think is useful and interesting to the AWS community, please submit a request and the AWS team will review your submission and get back to you. Typically the data sets in the repository are between 1 GB to 1 TB in size (based on the Amazon EBS volume limit), but they can work with you to host larger data sets as well. You must have the right to make the data freely available.

Automated Weather Station and AWS-like networks are the primary source of surface-level meteorological data in remote polar regions. These networks have developed organically and independently, and deliver data to researchers in idiosyncratic ASCII formats that hinder automated processing and intercomparison among networks. Moreover, station tilt causes significant biases in polar AWS measurements of radiation and wind direction. Researchers, network operators, and data centers would benefit from AWS-like data in a common format, amenable to automated analysis, and adjusted for known biases. This project addresses these needs by developing a scientific software workflow called "Justified AWS" (JAWS) to ingest Level 2 (L2) data in the multiple formats now distributed, harmonize it into a common format, and deliver value-added Level 3 (L3) output suitable for distribution by the network operator, analysis by the researcher, and curation by the data center. Polar climate researchers currently face daunting problems including how to easily: 1. Automate analysis (subsetting, statistics, unit conversion) of AWS-like L2 ASCII data. 2. Combine or intercompare data and data quality from among unharmonized L2 datasets. 3. Adjust L2 data for biases such as AWS tilt angle and direction. JAWS addresses these common issues by harmonizing AWS L2 data into a common format, and applying accepted methods to quantify quality and estimate biases. Specifically, JAWS enables users and network operators to 1. Convert L2 data (usually ASCII tables) into a netCDF-based L3 format compliant with metadata conventions (Climate-Forecast and ACDD) that promote automated discovery and analysis. 2. Include value-added L3 features like the Retrospective, Iterative, Geometry-Based (RIGB) tilt angle and direction corrections, solar angles, and standardized quality flags. 3. Provide a scriptable API to extend the initial L2-to-L3 conversion to newer AWS-like networks and instruments. Polar AWS network experts and NSIDC DAAC personnel, each with decades of experience, will help guide and deliberate the L3 conventions implemented in Stages 2-3. The project will start on July 1, 2017 at entry Technology Readiness Level 3 and will exit on June 30, 2019 at TRL 6. JAWS is now a heterogeneous collection of scripts and methods developed and validated at UCI over the past 15 years. At exit, JAWS will comprise three modular stages written in or wrapped by Python, installable by Conda: Stage 1 ingests and translates L2 data into netCDF. Stage 2 annotates the netCDF with CF and ACDD metadata. Stage 3 derives value-added scientific and quality information. The labor-intensive tasks include turning our heterogeneous workflow into a robust, standards-compliant, extensible workflow with an API based on best practices of modern scientific information systems and services. Implementation of Stages 1-2 may be straightforward though tedious due to the menagerie of L2 formats, instruments, and assumptions. The RIGB component of Stage 3 requires ongoing assimilation of ancillary NASA data (CERES, AIRS) and use of automated data transfer protocols (DAP, THREDDS). The immediate target recipient elements are polar AWS network managers, users, and data distributors. L2 borehole data suffers from similar interoperability issues, as does non-polar AWS data. Hence our L3 format will be extensible to global AWS and permafrost networks. JAWS will increase in situ data accessibility and utility, and enable new derived products (both are AIST goals). The PI is a long-standing researcher, open source software developer, and educator who understands obstacles to harmonizing disparate datasets with NASA interoperability recommendations. Our team participates in relevant geoscience communities, including ESDS working groups, ESIP, AGU, and EarthCube.

The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and across two of the four "Tier 1" greenhouse gas emissions scenarios known as Shared Socioeconomic Pathways (SSPs). The CMIP6 GCM runs were developed in support of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR6). This dataset includes downscaled projections from ScenarioMIP model runs for which daily scenarios were produced and distributed through the Earth System Grid Federation. The purpose of this dataset is to provide a set of global, high resolution, bias-corrected climate change projections that can be used to evaluate climate change impacts on processes that are sensitive to finer-scale climate gradients and the effects of local topography on climate conditions.

In the fourth quarter of 2024, the most popular vendor in the cloud infrastructure services market, Amazon Web Services (AWS), controlled ** percent of the entire market. Microsoft Azure takes second place with ** percent market share, followed by Google Cloud with ** percent market share. Together, these three cloud vendors account for ** percent of total spend in the fourth quarter of 2024. Organizations use cloud services from these vendors for machine learning, data analytics, cloud native development, application migration, and other services. AWS Services Amazon Web Services is used by many organizations because it offers a wide variety of services and products to its customers that improve business agility while being secure and reliable. One of AWS’s most used services is Amazon EC2, which lets customers create virtual machines for their strategic projects while spending less time on maintaining servers. Another important service is Amazon Simple Storage Service (S3), which offers a secure file storage service. In addition, Amazon also offers security, website infrastructure management, and identity and access management solutions. Cloud infrastructure services Vendors offering cloud services to a global customer base do so through different types of cloud computing, which include infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Further, there are different cloud computing deployment models available for customers, namely private cloud and public cloud, as well as community cloud and hybrid cloud. A cloud deployment model is defined based on the location where the deployment resides, and who has access to and control over the infrastructure.

The Data Pipeline Market size was valued at USD 6.81 USD billion in 2023 and is projected to reach USD 28.03 USD billion by 2032, exhibiting a CAGR of 22.4 % during the forecast period.A Data Pipeline can be defined as the process of Data extraction, transformation, and loading into the destinations with the help of some chained processes. There are several types of data pipelines: It is possible to distinguish three main groups of neural network models, these are batch processing, real-time processing, and hybrids. These are data ingestion, data transformation, data validation and data storage for big data where most of the data processing is facilitated by workflow orchestrations. Data pipelines find use in many applications ranging from business intelligence to machine learning, and real-time analytics. They help to improve the level of decision-making, and productivity in organizations, and enable organizations obtain competitive advantages. Advantages consist of higher quality data, increased extensibility, as well as the diminished need for human interaction, providing quicker ans more precise outcomes. Recent developments include: In 2021, IBM acquired Databand AI, a provider of data observability and quality monitoring solutions. This acquisition will help IBM to strengthen its position in the data pipeline market. In 2020, Amazon Web Services (AWS) launched Amazon Data Pipeline, a fully managed data pipeline service that makes it easy to build, run, and monitor data pipelines. This service will help AWS to gain market share in the data pipeline market.. Key drivers for this market are: Increased Use of Advanced Data Pipeline Tools for Cloud Flexibility among Organizations to Bolster Market Growth. Potential restraints include: Lack of Access to Data in Business Processes May Impede Market Growth. Notable trends are: Growing Implementation of Touch-based and Voice-based Infotainment Systems to Increase Adoption of Intelligent Cars.

The global data catalog market is experiencing steady growth, driven by the increasing volume and complexity of enterprise data. As organizations face the challenge of managing multiple data sources and ensuring data quality and governance, the adoption of data catalogs has become increasingly important. According to market research, the total value of the market in 2025 was approximately $2.61 billion, with a projected CAGR of 2.50% from 2025 to 2033. This growth is primarily attributed to the growing need for data-driven decision-making and the proliferation of big data and artificial intelligence (AI) technologies. Key industry trends indicate a growing emphasis on cloud-based data catalog solutions, as well as the integration of AI and machine learning (ML) capabilities. These technologies enhance the automation and efficiency of data cataloging processes, while providing advanced features such as data lineage tracking and data quality monitoring. Furthermore, the convergence of data catalog solutions with other enterprise applications, such as data governance and data analytics platforms, creates opportunities for comprehensive data management and improved data utilization. The competitive landscape is characterized by a mix of established vendors and emerging players, with companies such as Tamr Inc, Collibra NV, TIBCO Software Inc, and IBM Corporation holding significant market share. Ongoing innovations and strategic acquisitions are shaping the market dynamics, as vendors strive to differentiate their offerings and meet evolving customer requirements. The global data catalog market size was valued at USD 2.0 billion in 2022 and is expected to expand at a compound annual growth rate (CAGR) of 24.3% from 2023 to 2030, reaching USD 12.0 billion by 2030. Recent developments include: November 2022 - Amazon EMR customers can now use AWS Glue Data Catalog from their streaming and batch SQL workflows on Flink. The AWS Glue Data Catalog is an Apache Hive metastore-compatible catalog. With this release, Companies can directly run Flink SQL queries against the tables stored in the Data Catalog., September 2022 - Syniti, a global leader in enterprise data management, updated new data quality and catalog capabilities available in its industry-leading Syniti Knowledge Platform, building on the enhancements in data migration and data matching added earlier this year. The Syniti Knowledge Platform now includes data quality, catalog, matching, replication, migration, and governance, all available under one login in a single cloud solution. It provides users with a complete and unified data management platform enabling them to deliver faster and better business outcomes with data they can trust., August 2022 - Oracle Cloud Infrastructure collaborated with Anaconda, the world's most recognized data science platform provider. By permitting and integrating the latter company's repository throughout OCI Machine Learning and Artificial Intelligence services, the collaboration aimed to give safe, open-source Python and R tools and packages.. Key drivers for this market are: Growing adoption of Cloud Based Solutions, Solutions Segment is Expected to Hold a Larger Market Size. Potential restraints include: Lack of Standardization and Security Concerns. Notable trends are: Solutions Segment is Expected to Hold a Larger Market Size.

The global AWS Consulting Services market is expected to experience significant growth over the next decade, driven by the increasing adoption of cloud computing services. The market is anticipated to expand at a compound annual growth rate (CAGR) of XX% from 2025 to 2033, reaching a value of USD XX million by 2033. The growth is primarily attributed to the rising demand for cloud-based solutions from enterprises seeking to optimize IT infrastructure, enhance operational efficiency, and accelerate digital transformation. Key trends driving the market include the growing popularity of cloud-native applications, the increasing adoption of microservices and containers, and the emergence of edge computing. Additionally, the expanding use of artificial intelligence (AI) and machine learning (ML) in cloud computing is expected to fuel market growth. However, data security and privacy concerns, regulatory compliance challenges, and the potential dependency on cloud service providers remain key restraints that may hinder the market's growth. The market is segmented based on applications, including large enterprises and SMEs, and service types, including online and offline services. North America, Europe, and Asia Pacific are the leading regions contributing to the overall market, with North America expected to maintain its dominance throughout the forecast period.

The size of the Data Lakes Market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 22.40% during the forecast period. Data lakes are centralized repositories that allow organizations to store vast amounts of structured and unstructured data in its raw form. Unlike traditional databases that require data to be structured and defined before storage, data lakes enable the ingestion of diverse data types, including text, images, audio, and video, without the need for pre-defined schemas. This flexibility allows businesses to capture data from various sources, such as social media, IoT devices, enterprise applications, and more, creating a comprehensive repository for analytics and insights. One of the key advantages of data lakes is their scalability. Built on distributed computing architectures, they can accommodate growing data volumes, enabling organizations to store and process large datasets efficiently. Data lakes also support advanced analytics, including big data processing, machine learning, and artificial intelligence, providing organizations with the tools to derive actionable insights from their data. Users can query the data in its native format, facilitating exploratory analysis and empowering data scientists and analysts to experiment with different algorithms and models. Recent developments include: December 2022: Atos announced the development of a new solution in collaboration with AWS that allows clients to expedite and properly monitor company key performance indicators (KPIs) by offering simple access to non-SAP and SAP data silos. "Atos' AWS Data Lake Accelerator for SAP" is an innovative solution that delivers enterprise-wide and self-service reporting for significant insights into daily changes that rapidly impact decisions to drive the bottom line., November 2022: Amazon Web Services (AWS) announced the launch of Amazon Security Lake. This new cybersecurity solution automatically centralizes safety data from on-premises and cloud sources into a purpose-built data lake in a user's AWS account.. Key drivers for this market are: Proliferation of Data due to the Adoption of IoT, Need for Advanced Analytic Capabilities. Potential restraints include: Slow Onboarding and Data Integration of Data Lakes. Notable trends are: BFSI End-user Vertical Segment is Expected to Hold Significant Market Share.

The Data Catalog Marketsize was valued at USD 878.8 USD million in 2023 and is projected to reach USD 2749.95 USD million by 2032, exhibiting a CAGR of 17.7 % during the forecast period. Data catalog is another concept that is used to refer to a unified list of all the data resources within an organization and their descriptions that are crucial in the course of data search. It can also sort data, effectively making it easier to find and use data sets that the user requires. based on their usage, data catalogs can be distinguished into business, technical, and operation catalogs; business use for business intelligence, technical for providing metadata for technical use, and operational use for tracking operational data. Some of the significant elements of data catalogs are data lineage, metadata management, search and discovery features, data governance, and collaboration. They are actively utilized in industries for increasing data quality, satisfying the requirements of compliance, and optimizing the analysis to support better decision-making and increase efficiency in business operations. Recent developments include: February 2024 – Collibra launched Collibra AI Governance, built on their Data Intelligence Platform, enabling organizations to deliver trusted AI effectively through the use of Collibra Data Catalog. It aided teams in collaborating for compliance, improved model performance, reduced risk, and led to faster production timelines., September 2023 – AWS Lake Formation launched a Hybrid Access Module for the AWS Glue Data Catalog, allowing users to selectively enable Lake Formation for tables and databases without interrupting existing users or workloads. This feature provided flexibility and an integral path for enabling Lake Formation, reducing the need for coordination among owners and consumers., July 2023 – Teradata acquired Stemma Technologies to enhance its analytics capabilities, particularly in data discovery and delivery. Stemma’s automated data catalog bolstered Teradata’s offerings, aiming to improve user experience and accelerate ML and AI analytics growth., June 2023 – Acryl Data secured USD 21 million in Series A funding led by 8VC to enhance its open-source data catalog platform. This investment enhanced their cloud offerings and expanded their vision towards a data control plane., May 2023 – data.world launched its new Data Catalog Platform, integrating generative AI bots to enhance data discovery. With over 2 million users, the platform aimed to make data discovery and knowledge unlocking accessible to users of all expertise levels., February 2023 – data.world, a data governance platform, launched the first AI Lab for the data catalog industry. This Artificial Intelligence (AI) Lab would be important in bringing partners and customers together to enhance data team productivity using AI technology., November 2022 – Amazon Web Services (AWS) launched DataZone, a new machine learning-based data management service to help enterprises catalog, share, govern, and discover their data quickly.. Key drivers for this market are: Exponential Growth of Data Volume and Data Analytics to Fuel Market Growth. Potential restraints include: High Initial Deployment Cost and Privacy Concerns to Hinder Market Growth. Notable trends are: Growing Adoption of AI and Automation Technologies to Amplify Market Growth.

Recent developments include: April 2023: IBM Corporation announced the launch of a new QRadar Security Suite to accelerate threat detection and response. The launch of the new technology will help improve the productivity of security teams by enabling analysts to respond faster and more efficiently, thereby freeing them up for higher-value work., December 2022: Microsoft and LSEG (London Stock Exchange Group) announced a partnership to use Microsoft Cloud to create the latter’s data infrastructure and develop new data & analytics products and services. This partnership would strengthen its position as the world's leading financial market infrastructure and data provider., November 2022: Dremio, a simple and open data lakehouse, announced key features for updating & writing data, improved support for semi-structured data, and expanded data ecosystem and business intelligence (BI) integrations in the data lakehouse evolution., February 2022: Persistent Systems acquired Data Glove and created a new Microsoft business unit focused on the Azure cloud. The acquisition expanded the delivery capabilities with highly skilled personnel, established a new nearshore distribution center in Costa Rica, and expanded the company's presence in India and the U.S., December 2021: Informatica launched a new solution that democratized access to cloud data lakes on Amazon Web Services (AWS) with AWS Lake Formation. This solution enabled business users at every level within an organization to access their data with improved security and trust to make informed business decisions.. Key drivers for this market are: Rising Demand for Effective Security Solutions Among Organizations to Drive Market Growth. Potential restraints include: Budgetary Issues Among Small-Scale Businesses May Hinder Market Growth. Notable trends are: Growing Implementation of Touch-based and Voice-based Infotainment Systems to Increase Adoption of Intelligent Cars.

Amazon not only boasts a hugely successful online retail platform but also a thriving digital marketplace which is seamlessly integrated with the main retail shopping experience. That being said, in the first quarter 2025, ** percent of paid units were sold by third-party sellers. 1P and 3P Amazon sellers There are many ways of selling on Amazon. Firstly there are first-party (1P) vendor sales, where vendors send their inventory to Amazon, who in turn control the pricing and include “ships from and sold by Amazon.com” on product listings. The benefits of 1P sales on Amazon are wholesale purchases from Amazon, priority selling and brand trust through Amazon’s credibility as a seller. Amazon also permits third-party (3P) sales on its marketplace. Both individuals and professional sellers can sell on Amazon Marketplace. When it comes to order fulfillment, possible options are Fulfillment by Amazon (FBA) and Fulfillment by Merchant (FBM). Items are displayed as “sold by MERCHANT and Fulfilled by Amazon / Fulfilled by MERCHANT”. 3P sales are a popular strategy for sellers to make up for certain 1P sales disadvantages, namely improved margins through better pricing control, more favorable payment terms and less reliance on the relationship with Amazon. Amazon seller revenues This magic formula has ultimately cashed in for Amazon, which has seen its net revenues multiply in recent years. In 2023, the e-commerce giant generated approximately *** billion dollars in third-party seller services, an increase of about ** billion dollars from the previous year. While these figures are the product of orders throughout the year, a significant chunk is attributable to special offer and discount days. According to a survey, Black Friday is the shopping event driving the largest sales increase for Amazon sellers, followed by two of the company's own events, Prime Day and Amazon Summer Sale. In the context of the coronavirus pandemic, Amazon Prime Day played a particularly decisive role for small and medium-sized businesses around the world, many of which had to turn to online sales overnight in order to survive.

The Data Annotation Tools Market size was valued at USD 1.31 billion in 2023 and is projected to reach USD 6.72 billion by 2032, exhibiting a CAGR of 26.3 % during the forecasts period. The data annotation tools market is concerned with software applications that are used to tag as well as sort data for machine learning and artificial intelligence industries. They assist in development of training sets by tagging images, text, voice and video by relevant data and information. Some of the API’s that use reinforcement learning include training models for computer vision, natural language processing and speech recognition. Currently, tendencies in the market refer to the use of automated and semiautomated techniques for the process of annotation. Also, there is a rise in the demand for annotation tool with support for various form of data and support for AI marketing platforms. The application of AI and machine learning solutions in several industries is boosting the demand hence continues to propel the growth and competition in the market. Recent developments include: In November 2023, Appen Limited, a high-quality data provider for the AI lifecycle, chose Amazon Web Services (AWS) as its primary cloud for AI solutions and innovation. As Appen utilizes additional enterprise solutions for AI data source, annotation, and model validation, the firms are expanding their collaboration with a multi-year deal. Appen is strengthening its AI data platform, which serves as the bridge between people and AI, by integrating cutting-edge AWS services. , In September 2023, Labelbox launched Large Language Model (LLM) solution to assist organizations in innovating with generative AI and deepen the partnership with Google Cloud. With the introduction of large language models (LLMs), enterprises now have a plethora of chances to generate new competitive advantages and commercial value. LLM systems have the ability to revolutionize a wide range of intelligent applications; nevertheless, in many cases, organizations will need to adjust or finetune LLMs in order to align with human preferences. Labelbox, as part of an expanded cooperation, is leveraging Google Cloud's generative AI capabilities to assist organizations in developing LLM solutions with Vertex AI. Labelbox's AI platform will be integrated with Google Cloud's leading AI and Data Cloud tools, including Vertex AI and Google Cloud's Model Garden repository, allowing ML teams to access cutting-edge machine learning (ML) models for vision and natural language processing (NLP) and automate key workflows. , In March 2023, has released the most recent version of Enlitic Curie, a platform aimed at improving radiology department workflow. This platform includes Curie|ENDEX, which uses natural language processing and computer vision to analyze and process medical images, and Curie|ENCOG, which uses artificial intelligence to detect and protect medical images in Health Information Security. , In November 2022, Appen Limited, a global leader in data for the AI Lifecycle, announced its partnership with CLEAR Global, a nonprofit organization dedicated to ensuring access to essential information and amplifying voices across languages. This collaboration aims to develop a speech-based healthcare FAQ bot tailored for Sheng, a Nairobi slang language. .

Globally, the public cloud market is currently valued at 685.3823 billion USD and is projected to reach a staggering 2,225.9945 billion USD by 2033, reflecting a robust CAGR of 12.81% from 2025 to 2033. Faster digital transformation, rising cloud-native application development, increased affordability, and rapid penetration of mobile devices and IoT are some key growth drivers shaping the public cloud market. Furthermore, the adoption of innovative technologies like AI, ML, and analytics further fuels demand for cloud computing resources. Regionally, North America holds the largest market share, followed by Europe and Asia Pacific. Leading cloud providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) dominate the market, offering comprehensive cloud services across IaaS, PaaS, and SaaS models. Key trends shaping the market include the increasing adoption of multi-cloud and hybrid cloud solutions, the rise of edge computing, and the growing significance of data security and compliance. Despite these growth drivers, factors such as data privacy and security concerns, legacy systems, and potential vendor lock-in can restrain market growth to some extent. Recent developments include: In March 2023, Alibaba Cloud, the foundation of Alibaba Group's digital technology and intelligence, announced its partnership with long-time partner Dubai Holding to upgrade the facility with cutting-edge cloud infrastructure and a wider range of products and services in analytics, databases, industry solutions, and AI services to provide customers with the best digital solutions during their journey towards digitalization. In February 2023, Alibaba Cloud, the digital technology and intelligence core of Alibaba Group has been selected by e-commerce platform MyEUShop and its joint venture logistics partner, Nederlands Express (NLE), as their preferred cloud service provider and technology partner. MyEUShop and NLE will receive assistance from Alibaba Cloud to optimize their retail solutions and e-commerce platform infrastructure to achieve future commercial growth. In March 2023, AWS, a division of Amazon.com, Inc., has announced plans to open a region for its infrastructure in Malaysia. The new Amazon Region will allow developers, start-ups, entrepreneurs, businesses, government, educational, and charity institutions more options for using Malaysian data centers to operate their applications and serve end users. In October 2022, UBS and Microsoft announced a significant expansion of their collaboration to expand UBS's public cloud footprint over the next five years. As part of this transformational endeavour, UBS intends to operate more than half of its applications, including key workloads, on Microsoft Azure, the firm's primary cloud platform. The collaboration advances UBS's "cloud-first" strategy and modernization of its global technology estate. In July 2022, in India, Adobe Experience Manager (AEM) as a Cloud Service, powered by Adobe Experience Cloud, is now generally available, according to Adobe. With SaaS-like agility and experience management capabilities, AEM, a cloud-native solution, helps businesses manage and scale customized digital content for every channel. This enables marketers and developers to quickly create powerful, personalized digital experiences in just a few weeks, unlike the industry norm of months. . Notable trends are: Increasing demand for immersive virtual reality experiences is driving the market growth..

According to Cognitive Market Research, the global Hyperscale Data Center market size will be USD XX million in 2025. It will expand at a compound annual growth rate (CAGR) of XX% from 2025 to 2031.

North America held the major market share for more than XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. Europe accounted for a market share of over XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. Asia Pacific held a market share of around XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. Latin America had a market share of more than XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. Middle East and Africa had a market share of around XX% of the global revenue and was estimated at a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. KEY DRIVERS

Increased Adoption of Cloud Computing is boosting the market growth

The growing adoption of cloud computing is one of the primary drivers fueling the expansion of the hyperscale data center market. As businesses increasingly move to cloud-based solutions for computing, storage, and application services, there is a heightened demand for data centers capable of handling massive data volumes and complex computational tasks. Hyperscale data centers provide the necessary infrastructure to support this shift, offering high scalability, robust performance, and cost efficiency. For instance, in 2023, a report by Eurostat revealed that 45.2% of enterprises in the EU utilized cloud computing services, a 4.2% increase from 2021. (Source: https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20231208-1#:~:text=In%202023%2C%2045.2%25%20of%20EU%20enterprises%20purchased%20cloud,4.2%20percentage%20point%20%28pp%29%20increase%20compared%20with%202021.) Leading cloud service providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud have significantly invested in hyperscale data centers to support this trend, delivering on-demand computing resources to millions of businesses worldwide. As cloud computing continues to grow in importance, its demand for more processing power and storage will only increase. In fact, by 2026, the global cloud market is expected to reach over USD1 trillion, This surge is being driven by businesses' digital transformation, the rise of remote work, and the need for scalable IT solutions. AWS, for instance, operates some of the world’s largest hyperscale data centers, supporting everything from e-commerce to artificial intelligence applications. Similarly, Microsoft Azure has expanded its data center presence globally, allowing companies to leverage flexible cloud services while meeting security and compliance requirements. Thus, the increasing reliance on cloud services remains a critical driver of the hyperscale data center industry’s rapid growth.

Surge in Internet Users is further driving the Hyperscale Data Centre Market

The surge in internet users has created a significant demand for hyperscale data centers, as increased online activity generates a massive volume of data that needs to be processed, stored, and managed. According to Statistics Canada’s 2022 Canadian Internet Use Survey, internet usage among Canadians aged 15 and older rose from 92% in 2020 to 95% in 2022, highlighting the continued digital adoption across all age groups. (Source: https://www150.statcan.gc.ca/n1/daily-quotidien/230720/dq230720b-eng.htm) This trend is also reflected globally, with the total number of internet users surpassing 5 billion in 2023, according to the International Telecommunication Union (ITU). As more people engage in digital activities—such as streaming, social media, and e-commerce—the volume of data generated increases exponentially, creating a greater need for expansive data center infrastructure to handle the load. Companies like Netflix and YouTube, which rely on large-scale content delivery networks, depend on hyperscale data centers to provide seamless streaming services to billions of users globally. For instance, YouTube serves over 2 billion logged-in users per month, with massive data storage and processing needs. Similarly, Facebook and Instagram, both...

The amount of corporate data stored in the cloud has increased in recent years and is predicted to surpass 60 percent by 2022. This is a significant rise from 2015 when only 30% of corporate data was stored in the cloud. This trend is expected to continue in the future.

What is driving the adoption of cloud technology?

The global public cloud services market is expected to grow by approximately 22 percent in 2023, which equates to around 600 billion U.S. dollars. As businesses expand, their data storage and IT infrastructure needs become increasingly challenging to meet with on-premises storage servers and hardware alone. This growth creates a crucial need for scalability, which can only be efficiently and cost-effectively managed through cloud-based services. Additionally, companies are moving towards cloud technology to enhance their security, reliability, and business agility.

The four major players in the cloud market

Amazon, Google, Microsoft, and Alibaba are known as the big four in cloud technology, controlling over two-thirds of the global cloud market. Amazon Web Services (AWS) has held the majority of the market share for several years, with 32% of the entire market. Microsoft is the closest competitor, growing its market share year on year. Its suite of Office products offered on the cloud for enterprises and consumers worldwide has contributed to their success.

The global data storage market, valued at $219.88 million in 2025, is experiencing robust growth, projected to expand significantly over the forecast period (2025-2033). A compound annual growth rate (CAGR) of 14.05% indicates substantial market expansion driven by several key factors. The increasing volume of data generated by various industries, including IT & Telecommunications, BFSI (Banking, Financial Services, and Insurance), and the burgeoning media & entertainment sector, fuels the demand for efficient and scalable storage solutions. The shift towards cloud-based storage, offering enhanced accessibility and scalability, is a major trend. Furthermore, the adoption of advanced technologies like Software Defined Storage (SDS) and the increasing use of big data analytics are propelling market growth. However, challenges such as data security concerns, the high initial investment cost of certain storage solutions, and the complexity of managing diverse storage environments act as restraints. The market is segmented by product type (DAS, NAS, SDS, Unified Storage, SAN, Cloud Storage, Others) and end-user (IT & Telecommunications, BFSI, Government, Manufacturing, Media & Entertainment, Retail & Consumer Goods, Others), with significant contributions expected from each segment. The regional landscape shows a strong presence across North America, Europe, and Asia, each exhibiting varying growth rates based on technological advancements and digital transformation initiatives within those regions. The competitive landscape is highly dynamic, with key players including NetApp, Pure Storage, Seagate, Equinix, Huawei, IBM, Amazon Web Services, Dell Technologies, Hewlett Packard Enterprise, Western Digital, NETGEAR, Broadcom, Fujitsu, and Toshiba contributing to innovation and market share competition. Strategic partnerships, mergers and acquisitions, and the continuous development of advanced storage technologies are shaping the competitive dynamics. Looking ahead, the continued growth in data generation, coupled with the adoption of advanced storage solutions and cloud technologies, is poised to drive further expansion in the data storage market, providing significant opportunities for market players. The focus will remain on delivering robust, secure, and scalable solutions catering to the diverse needs of various industries. Recent developments include: May 2024 - Equinix, Inc. has declared the launch of Dell PowerStore on Equinix Metal, introducing a new, enterprise-level Storage as a Service (STaaS) offering. This solution, featuring adaptable configurations, enables enterprises to efficiently handle a diverse array of high-performance multi-cloud workloads, benefiting from low-latency connectivity and proximity to leading public cloud providers., In April 2024, IBM unveiled enhanced storage capabilities designed to offer clients greater choice and control within the data centre, thereby optimizing performance. A newly introduced IT life cycle management solution, known as IBM Storage Assurance, grants access to the latest IBM FlashSystem hardware and software innovations, ensuring the protection of clients' investments from the outset. IBM Storage Assurance is compatible with the newly announced IBM FlashSystem 5300 and the existing FlashSystem 7300 and FlashSystem 9500.. Key drivers for this market are: Advancements Such as Cloud Computing, Edge Computing, and IoT are Driving the Demand for Advanced Data Storage Solutions, The Rising Adoption of Cloud Storage Technology by Enterprises will Drive the Market Growth. Potential restraints include: Advancements Such as Cloud Computing, Edge Computing, and IoT are Driving the Demand for Advanced Data Storage Solutions, The Rising Adoption of Cloud Storage Technology by Enterprises will Drive the Market Growth. Notable trends are: IT & Telecommunication Segment is Expected to Hold Significant Market Share in the Market.

The size of the Analytics of Things Market was valued at USD XXX XXX in 2024 and is projected to reach USD 0.00 XXX by 2033, with an expected CAGR of XXX% during the forecast period. The Analytics of Things (AoT) market is rapidly evolving, driven by the increasing need for businesses to leverage real-time data and make data-driven decisions. This market integrates advanced analytics with Internet of Things (IoT) technologies, enabling organizations to gain actionable insights from connected devices, sensors, and machines. AoT solutions are transforming industries such as healthcare, manufacturing, logistics, and smart cities by enhancing operational efficiency, predictive maintenance, and optimizing resource utilization. The growth of the AoT market is fueled by the surge in IoT device adoption, the rise in data generation, and advancements in cloud computing, AI, and machine learning. Key market players are focusing on developing innovative platforms that combine big data analytics with IoT infrastructure, improving performance and decision-making capabilities. Additionally, AoT is playing a critical role in providing real-time insights that help reduce costs, improve customer experiences, and streamline supply chains. With the increasing adoption of edge computing and AI-driven solutions, the Analytics of Things market is expected to continue expanding, revolutionizing industries and creating new opportunities for businesses worldwide. Recent developments include: In October 2022: KTD SYNNEX unveiled Data-IoTSolv in the Americas, empowering partners with IoT and data analytics tools for business growth. The solution includes AI and advanced analytics technologies for resellers., In August 2022: Amazon Web Services (AWS) revealed CEAT LTD's utilization of AWS for smart manufacturing. CEAT employs IoT, analytics, and machine learning to produce intelligent, sensor-equipped tires, enhancing manufacturing efficiency and enabling data-driven decisions with SAP on AWS. This development signifies CEAT's innovative strides in digitizing factories and launching new digital services., In May 2022: Kajeet, a top wireless solutions provider, launched Sentinel Insights, a cloud-based analytics tool enhancing its IoT management platform, Sentinel. The product ensures secure and reliable IoT solutions for businesses, schools, governments., In May 2020: Intel and SAS joined forces to enhance global analytics solutions, enabling rapid access to precise insights for users. This collaboration leverages advanced AI, machine learning, and IoT technologies.. Key drivers for this market are: IoT proliferation and data explosion

Need for data-driven decision-making

Emergence of advanced analytics technologies (AI, ML, edge computing)

Growing focus on operational efficiency and customer engagement

Demand for IoT data security and compliance. Potential restraints include: Data integration and management complexities

Skills and expertise gap in data analytics

Security and privacy concerns in IoT deployments

Cost and resource requirements

Lack of industry standardization. Notable trends are: Integration of IoT with 5G and cloud computing

Adoption of blockchain for data security and trust

Development of low-code/no-code IoT and analytics tools

Increasing use of AI/ML for automated data analysis

Focus on sustainability and data ethics.