Data Warehouse as a Service Market Research Report Information By Usage (Data Mining, Reporting, Analytics), By Application (Fraud Detection, Asset, Risk and Compliance Management, Customer Analytics) And By Region (North America, Europe, Asia-Pacific, And Rest Of The World) –Market Forecast Till 2030

Global Data Warehouse as a Service Market Overview

Data Warehouse as a Service Market Size was valued at USD 2.2 billion in 2022. The Data warehouse as a service market industry is projected to grow from USD 2.68 Billion in 2023 to USD 8.79 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 21.9% during the forecast period (2023 - 2030). Increased adoption of a cloud system, growing data manageability, and rising demand for high-speed analytics are the key market drivers enhancing market growth.

Source: Secondary Research, Primary Research, MRFR Database and Analyst Review

Data Warehouse as a Service Market Trends

• Growing demand for cloud system is driving the market growth

The Market CAGR for data warehouse service is projected to increase, due to the explosive growth in the volume of structured and unstructured data generated across numerous end-user industries, including BFSI, retail and e-commerce, government and the public sector, and manufacturing industries. For Instance: Tencent Holdings intended to establish a third data center in Japan, with a high demand for cloud services for online gaming and live streaming platforms.

Additionally, there are many reasons to embrace cloud-based data warehouse solutions, including the expanding usage of data warehouses for advanced analytics, the exponential development of data volumes, the need for increased regulatory compliance, and the popularity of multi-cloud architecture.

The data warehouse for the company houses important, structural data. In this line, the adoption of clever, cloud-based arrangements would most likely be the driving force behind the need for fraud discovery in the data warehouse as a service market. The service provider handles the administration and management of the data warehouse, so the client does not need to bother about staffing it. Data warehouse as a service is therefore, a fantastic choice for companies with constrained or tiny IT staff. As data kept inside is non-volatile. Data can only be modified or completely erased once added to a data warehouse.

As a result, it is anticipated that throughout the projection period, due to the rising adoption of cloud-based system. Thus, driving the data warehouse as a service market revenue.

Data Warehouse as a Service Market Segment Insights

Data Warehouse as a Service Usage Insights

The Data Warehouse as a Service Market segmentation, based on usage includes data mining, reporting, and analytics. Due to the increasing demand for real-time data analytics, the analytics segment dominated the market. The implementation of analytics data in an enterprise complements the existing data infrastructure and supports the needs of the enterprise. Moreover, the increasing use of AI in data warehouses provides growth opportunities to the segment. To meet the rapid growth of data volumes, the companies operating in data warehouse as a service market provide advanced solutions.  

Data Warehouse as a Service Application Insights

Based on application, the Data Warehouse as a Service Market segmentation, includes fraud detection, asset, risk and compliance management, and customer analytics. The fraud detection category generated the most income. Large corporations have implemented various technologies to secure corporate data from outbreaks. The data warehouse of the company stores and organizes the essential data.  Thus, the demand for fraud detection in the data warehouse as a service market is driven by the adoption of cloud-based, cost-effective solution, fueling segment expansion.

Figure 1: Data Warehouse as a Service Market, by Application, 2022 & 2030 (USD billion)

Source: Secondary Research, Primary Research, MRFR Database and Analyst Review

Data Warehouse as a Service Regional Insights

By Region, the study provides the market insights into North America, Europe, Asia-Pacific and Rest of the World. The North American data warehouse as a service market area will dominate this market, owing to an increase in the demand for managing operational data, as well as the increasing availability of cloud solution. In addition, the growing adoption of data warehousing as a service, as well as actions taken by the industry by joining hands with various technological giants will boost market growth in this region.

Further, the major countries studied in the market report are The U.S., Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.

Figure 2: DATA WAREHOUSE AS A SERVICE MARKET SHARE BY REGION 2022 (%)

Source: Secondary Research, Primary Research, MRFR Database and Analyst Review

Europe data warehouse as a service market accounts for the second-largest market share due to the increasing demand for managing and organizing data. Further, the German data warehouse as a service market held the largest market share, and the UK data warehouse as a service market was the fastest-growing market in the European region.

The Asia-Pacific data warehouse as a service Market is expected to grow at the fastest CAGR from 2023 to 2030. This is due to development and advancement in technology. Moreover, China’s data warehouse as a service market held the largest market share, and the Indian data warehouse as a service market was the fastest-growing market in the Asia-Pacific region.

Data Warehouse as a Service Key Market Players & Competitive Insights

Leading market players are investing heavily in research and development in order to expand their product lines, which will help the data warehouse as a service market, grow even more. Market participants are also undertaking a variety of strategic activities to expand their global footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, data warehouse as a service industry must offer cost-effective items.

Manufacturing locally to minimize operational costs is one of the key business tactics used by manufacturers in the global data warehouse as a service industry to benefit clients and increase the market sector. In recent years, the data warehouse as a service industry has offered some of the most significant advantages to medicine. Major players in the Data Warehouse as a Service market, including Snowflake Inc. (US), MarkLogic Corporation (US), SAP SE (Germany), Google (US), Netavis Software GmbH (Austria), Amazon Web Services (US), Actian Corporation (US), IBM Corporation (US), Microsoft Corporation (US), Hortornworks (US), Micro Focus (UK), Oracle Corporation (US).

An Amazon subsidiary called Amazon Web Services, Inc. (AWS) offers meters, pay-as-you-go on demand cloud computing platforms and APIs to people, businesses, and governements. Clients frequently utilize this in addition to autoscaling. Via Amazon server farms, these cloud computing web services offer a range of services for networking, computing, storage, middleware, IoT, and other processing resources, as well as software tools. Clients are relieved of administering, scaling, and patching operating systems and hardware. For instance: Amazon Redshift Serverless, a new feature from Amazon Web Services (AWS), makes it incredibly simple to execute analytics in the cloud with great performance at any size. For users to get started, the appropriate computational resources are automatically provisioned.

Based in Bozeman, Montana, Snowflake Inc. is a cloud computing and data cloud startup. After two years in stealth mode, it was officially unveiled in October 2014, having been formed in July 2012. The company provides “data-as-a-service” or cloud-based data analytics and storage, services. Using cloud-based technology and software, it enables corporate users to store and analyses data. To meet the demanding requirements of expanding businesses, Snowflake Services’ primary features include storage and compute isolation, on-the-fly scalable computation, data sharing, data cloning, and support for third party tools. It runs on Amazon, Microsoft Azure, and on the Google cloud. For Instance: To make on-premises data easier to access, Dell teamed with Snowflake Inc. The capabilities from Snowflake Data Cloud are now available for on-premises object storage thanks to a partnership between Snowflake Inc. and Dell Technologies.

Key Companies in the Data Warehouse as a Service market include

• Snowflake Inc. (US)


• MarkLogic Corporation (US)


• SAP SE (Germany)


• Google (US)


• Netavis Software GmbH (Austria)


• Amazon Web Services (US)


• Actian Corporation (US)


• IBM Corporation (US)


• Microsoft Cporporation (US)


• Hortonworks (US)


• Micro Focus (UK)


• Oracle Corporation (US)

Data Warehouse as a Service Industry Developments

June 2022: Amazon Web Services has a partnership with HCL Technologies. HCL can provide enterprise data warehousing solutions that are scalable, economical, secure, and high-performing thanks to AWS. HCL Technologies receives data-driven business insights from Amazon Redshift that are supported by cutting-edge AI/ML capabilities to enhance operational effectiveness, decision-making, and accelerate time to market.

January 2022: Firebolt’s data warehouse firm secured $100 million at a valuation of USD 1.4 billion to offer speedier, less expensive analytics on enormous data volumes. It planned to use the money to expand its business and hire more skilled employees to better serve the data warehousing industry while also continuing to invest in its technology infrastructure.

June 2022: Yellow Brick, a US company located in California, has debuted the most recent iteration of their data warehouse technology. The yellow brick cloud-native elastic data warehouse expands to meet growing business data demands, works both on-premises and in the cloud, and has a clear pricing structure with predictable costs.

Data Warehouse as a Service Market Segmentation

Data Warehouse as a Service Usage Outlook

• Data Mining


• Reporting


• Analytics

Data Warehouse as a Service Application Outlook

• Fraud Detection


• Asset


• Risk and Compliance Management


• Customer Analytics

Data Warehouse as a Service Regional Outlook

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  North America

  
  
  
  
  • US
  
  
  • Canada
  
  
  
  


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  Europe

  
  
  
  
  • Germany
  
  
  • France
  
  
  • UK
  
  
  • Italy
  
  
  • Spain
  
  
  • Rest of Europe
  
  
  
  


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  Asia-Pacific

  
  
  
  
  • China
  
  
  • Japan
  
  
  • India
  
  
  • Australia
  
  
  • South Korea
  
  
  • Australia
  
  
  • Rest of Asia-Pacific
  
  
  
  


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  Rest of the World

  
  
  
  
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    Middle East

    
    
  
  
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    Africa

    
    
  
  
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    Latin America

    
    
  
  
  
  

Report Scope:

Report Attribute/Metric	Details
Market Size 2022	USD 2.2 billion
Market Size 2023	USD 2.68 billion
Market Size 2030	USD 8.7 billion
Compound Annual Growth Rate (CAGR)	21.9% (2023-2030)
Base Year	2022
Market Forecast Period	2023-2030
Historical Data	2019- 2021
Market Forecast Units	Value (USD Billion)
Report Coverage	Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends
Segments Covered	Usage, Application, and Region
Geographies Covered	North America, Europe, Asia Pacific, and the Rest of the World
Countries Covered	The U.S., Canada, German, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil
Key Companies Profiled	Snowflake Inc. (US), MarkLogic Corporation (US), SAP SE (Germany), Google (US), Netavis Software GmbH (Austria), Amazon Web Services (US), Actian Corporation (US), IBM Corporation (US), Microsoft Corporation (US), Hortonworks (US), Micro Focus (UK), Oracle Corporation (US)
Key Market Opportunities	Use of smart phones and demand for high latency
Key Market Dynamics	Increase adoption of cloud system Growing data manageability Rising demand for high-speed analytics

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