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.

The NASA Earth Exchange (NEX) Global Daily Downscaled Projections (NEX-GDDP) dataset is comprised of downscaled climate scenarios that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5) [Taylor et al. 2012] and across the two of the four greenhouse gas emissions scenarios known as Representative Concentration Pathways (RCPs) [Meinshausen et al. 2011] developed for the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). The dataset is an ensemble of projections from 21 different models and two RCPs (RCP 4.5 and RCP 8.5), and provides daily estimates of maximum and minimum temperatures and precipitation using a daily Bias-Correction - Spatial Disaggregation (BCSD) method (Thrasher, et al., 2012). The data spans the entire globe with a 0.25 degree (~25-kilometer) spatial resolution for the periods from 1950 through 2005 (Historical) and from 2006 to 2100 (Climate Projections).

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.

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.

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.

These datasets contain peer-to-peer trades from various recommendation platforms.

Metadata includes

• peer-to-peer trades

• have and want lists

• image data (tradesy)

In 2024, with a market share of ** percent, Amazon Web Services (AWS) is set to be the leading global infrastructure as a service (IaaS) and platform as a service (PaaS) hyperscale vendor. In this specific instance, the four hyperscalers are characterized by their technology, CAPEX budget, resources, heft, and customer momentum that make them unique. While there are other companies in the market, the hyperscalers outperform these companies under consideration of the aforementioned metrics. Hyperscaler cloud provider Hyperscale cloud providers have global scale, innovative technology, and deep expertise in consulting and global business solutions. The companies utilize these abilities to offer a broad range of services to their customers, including platform re-architecture, data migration, and application development. In doing this, they become business partners rather than being mere suppliers of cloud computing resources. Cloud market segments Cloud computing can be compartmentalized into software as a service (SaaS), PaaS, and IaaS. SaaS is a software delivery model in which software is centrally hosted and delivered to customers on a subscription basis. IaaS offers an entire information technology (IT) infrastructure to its customers, which is provisioned and managed over the internet. PaaS, on the other hand, provides a full development and deployment environment in the cloud.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

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 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.

The Northern Virginia data center market, a crucial hub for cloud computing and internet infrastructure, is experiencing robust growth, driven by several key factors. The region's strategic location, abundant fiber connectivity, access to skilled labor, and proximity to major internet exchange points (IXPs) make it highly attractive for hyperscale providers and enterprises alike. The market's significant size, estimated at $XX million in 2025 (using the provided CAGR of 13.80% and extrapolated from the unspecified base year market size), reflects this attractiveness. Furthermore, increasing cloud adoption, the expansion of edge computing deployments to reduce latency, and the growing demand for colocation services are all fueling market expansion. The substantial presence of major cloud providers and data center operators such as Equinix, Digital Realty, and Amazon Web Services (AWS) further solidifies Northern Virginia's position as a global data center epicenter. Competition is intense, with companies vying for market share through innovative offerings and expansions. While land availability and energy costs pose potential constraints, ongoing infrastructure development and investments are mitigating these challenges. The segment breakdown showcases a significant demand for large and massive data centers from hyperscale providers, while smaller facilities cater to the needs of enterprise clients and colocation providers. The robust growth trajectory is projected to continue throughout the forecast period (2025-2033), propelled by consistent demand from various end-user sectors including cloud & IT, BFSI, and government. The Northern Virginia data center market is segmented by size (small, medium, large, massive, mega), tier type (Tier 1 & 2, Tier 3, Tier 4), and absorption (utilized and non-utilized). Within the utilized segment, further categorization based on colocation types (retail, wholesale, hyperscale) and end-user sectors (Cloud & IT, information-technology, Media & Entertainment, Government, BFSI, Manufacturing, E-Commerce, Other End User) provides a granular understanding of market dynamics. The projected CAGR of 13.80% suggests a substantial increase in market value over the forecast period. This growth is expected to be driven by strong demand from hyperscale providers who are continually expanding their presence in the region to support their global cloud infrastructure and handle increased data traffic. The significant investment in new facilities and upgrades to existing infrastructure will continue to support this expansion, reinforcing Northern Virginia's dominance in the global data center landscape. Growth might slightly moderate towards the end of the forecast period due to potential saturation in some segments, but the market is still expected to maintain a healthy growth rate. Recent developments include: May 2023: Culpeper County, Virginia, may soon see the building of more than four million square feet of data centers. The Culpeper Town and County Councils have received rezoning proposals allowing the construction of about 17 structures on two campuses on the town's border alongside McDevitt Drive. According to the Culpeper Star-Exponent, the Culpeper County Planning Commission voted 7-1 last week to approve an application to rezone approximately 34.4 acres from RA (Rural Areas) to LI (Light Industrial) over Route 799 (McDevitt Drive) and Route 699 (East Chandler Street) in the StevensburgMagisterial area., April 2023: GI Partners, a renowned private alternative investment group, announced the acquisition of 43915 Devin ShafronDrive in Ashburn, Virginia, as part of its ongoing strategy of acquiring and managing technology-enabled real estate. The complex is on a 98-acre campus maintained by one of the world's premier data center operators. Since its initial construction in 2010, the property has been institutionally maintained and is 100% leased to two creditworthy tenants. The property provides 9 MW of vital power and has the potential to grow in the future. The facility offers redundant electrical and mechanical upgrades and several connectivity possibilities via the neighboring campus.. Notable trends are: Tier 4 is Expected to Hold Significant Share of the Market.

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..

Amazon and Walmart have both seen a steady increase in their share of e-commerce sales in the United States from 2019 to 2023. That being said, Amazon clearly dominates Walmart in this area as they were responsible for about **** percent of e-commerce sales in the United States in the second quarter of 2023 where Walmart was responsible for a mere *** percent. Where they thrive When comparing Amazon and Walmart e-commerce sales in the United States, it is important to note key differences in the categories of e-commerce that these companies thrive on. From 2019 to 2021, Amazon’s share of electronics and appliance e-commerce sales in the U.S. never dipped below ** percent, while Walmart’s share of e-commerce sales in this category never rose above * percent. However, Walmart’s share of food and beverage e-commerce sales in the United States was much greater than Amazon’s over the same time period. Walmart’s future in e-commerce According to forecasts, Walmart’s e-commerce sales are only going to increase, and not by a little. By 2023, the corporation’s e-commerce sales are forecast to reach a value of nearly ** billion U.S. dollars, a significant increase from the **** billion U.S. dollars recorded in 2020.

According to forecasts as of March 2022, the sales share of electrical products on Amazon was expected at **** percent that year. By 2027, electrical products will make up **** percent of Amazon sales. Additionally, fashion and apparel was forecast to make up **** percent of Amazon sales by 2027, *** percentage point higher than in 2022.

According to estimates, Amazon claimed the top spot among online retailers in the United States in 2023, capturing 37.6 percent of the market. Second place was occupied by the e-commerce site of the retail chain Walmart, with a 6.4 percent market share, followed in third place by Apple, with 3.6 percent.

Amazon’s continued success

Amazon has long dominated the e-commerce market as the world’s favorite online marketplace. In 2022, company hit over half a trillion U.S. dollars in net sales. The United States is by far Amazon’s most profitable market, as the U.S. branch generated over 356 billion U.S. dollars in sales in 2022. Germany ranked second, with 33 billion dollars, followed closely by the United Kingdom with 30 billion dollars.

Online shopping on the rise

Online shopping has grown significantly over the past decade, with more people turning to the internet for their shopping needs. The proof is in the numbers: the U.S. e-commerce industry was worth almost a trillion dollars in 2023. By 2027, forecasts show that the online market will grow to more than 50 percent. U.S. online shoppers purchase fashion and food and beverages the most via the internet.

S-102 is a data and metadata encoding specification that is part of the S-100 Universal Hydrographic Data Model, an international standard for hydrographic data exchange. This collection of data contains bathymetric surfaces from NOAA/NOS/OCS National Bathymetric Source, for various U.S. coastal and offshore waters and the great lakes. These datasets are encoded as HDF5 files conforming to the S-102 specification.

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 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.