In 2023, it is projected that the global data warehouse as a service market may reach USD 5,484.9 million in sales. By 2033, demand is likely to expand at a CAGR of 22.4% and reach a value of USD 41,511.6 million.
Key factors anticipated to drive demand for a data warehouse as a service include the expanding role of business intelligence and data analytics in enterprise management. Growing reliance on data-driven decision-making to improve business performance proliferates global market growth.
Among other things, visualization is the primary purpose of business intelligence solutions. Global demand for DWaaS is predicted to be driven by the increased use of these BI solutions. Additionally, businesses are attempting to concentrate more on business operations than IT infrastructure. Due to the lucrative growth in data volumes and rising levels of IT infrastructure complexity.
DWaaS adoption is likely to increase due to the surging attention on IT infrastructure. Furthermore, the global market is anticipated to benefit greatly from the swift deployment of cloud data warehouses.
Attributes | Details |
---|---|
Expected Market CAGR (2023 to 2033) | 22.4% |
Expected Market Size (2023) | USD 5,484.9 million |
Expected Market Size (2033) | USD 41,511.6 million |
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The supplier needs to monitor evolving business requirements and data sources while managing the data warehouse. This is to ensure that all aspects of the data environment receive frequent improvements, whether in terms of software, computing, or storage.
Market CAGR (2018 to 2022) | 20.3% |
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Market Size (2018) | USD 2,164.3 million |
Market Size (2022) | USD 4,540.5 million |
To benefit from its flexibility and scalability, businesses are turning to cloud solutions. The need for cloud-based data warehousing solutions is thus increasing. This significant market revolution over the previous few years has caused the growth rate to increase by 1.20 times between 2022 and 2023.
Big data is being adopted more widely, as businesses are using big data solutions to help them make sense of it all. Providers of data warehouses as a service are in a good position to offer big data solutions that are likely to handle significant data quantities. This is likely to lead to favorable medium-term growth, with a valuation of USD 22,575.57 million by 2030.
Likewise, the data management software market for DWaaS is a sector of the overall cloud computing industry that is expanding rapidly. Without the requirement for on-premises hardware or software, DWaaS is a cloud-based solution that gives enterprises access. To a scalable and adaptable data warehouse environment. In the long run, this assists in increasing global demand.
Organizations are seeking solutions to safeguard data from security risks as it gains in value. Data encryption, data masking, and other data security measures are offered by suppliers of data warehousing as a service. Clients rely on the DWaaS vendor to maintain a high availability and manage performance. The use of a data warehouse is similarly impacted by service disruptions.
On DWaaS implementations, latency can also be a problem. When using DWaaS, the following two aspects of latency must be taken into account and managed:
These problems are being solved by new IoT and AI technology. Increased use of virtual data warehousing to quicken the data access process creates profitable market opportunities.
Over the forecast period, rising concerns about the privacy of data are likely to act as a market restraint. Due to the use of cloud computing, data transmission between systems can be vulnerable to privacy violations. Additionally, the rise in cyberattacks makes it difficult for businesses to choose data warehouse solutions.
With a share of 54.8% in 2022, enterprise DWaaS dominated the market, and this trend is anticipated to continue during the forecast period. This is explained by the fact that enterprise data warehouses offer decision-support services across the firm. As well as a centralized method of organizing and representing data.
Using these solutions, data, and access can be categorized and assessed by divisions. A cloud data warehouse offers the opportunity to quickly access data, as well as useful and relevant information. These solutions consolidate data into a single location, evaluate big data sets, and provide instant access to them as required.
In the DWaaS market, the global business intelligence application dominated with a share of 26.5% in 2022, according to a recent study by FMI. According to the report, North America, followed by Europe and Asia Pacific, is the leading market for DWaaS business intelligence applications.
Factors like the growing volume and complexity of data, the demand for real-time data analytics, and the affordability of cloud-based solutions, influence the segment’s growth.
Silicon Valley, California, in the United States—is seeing the emergence of numerous FinTech start-ups. It is anticipated that this is likely to improve the retail banking institutions' payments division and expand their lending operations.
As a result, credit underwriting procedures have improved as corporations use big data analytics to increase their lending to individuals and small enterprises. Additionally, data warehousing as a service in financial consulting firms became popular. As a way to free themselves from the constant need to update their on-premise software.
Countries | Market Share (2022) |
---|---|
United States | 17.3% |
Japan | 6.8% |
Australia | 4.3% |
North America was leading the market with a share of 28.3% in 2022. The volume of informational data that needs to be effectively stored, analyzed, and managed. To remain competitive in the North American market is increasing exponentially. This is due to consumerization trends, like the use of mobile devices and social networking, which are expected to accelerate market growth.
Germany Market Share (2022) | 7.3% |
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United Kingdom CAGR (2023 to 2033) | 21.6% |
Due to the well-established healthcare sector and the abundance of IT businesses, the data warehouse as a service in the Europe market is expected to grow rapidly. The DWaaS market in the United Kingdom and Germany has experienced significant growth. As a result of their respective countries' strong healthcare systems.
Country | Market CAGR (2023 to 2033) |
---|---|
China | 21.7% |
India | 22.6% |
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The market is benefiting from businesses' rising need to comprehend information. Accessible to business operations, consumers, goods, and services to seize new business opportunities.
Real-time Data Processing: Businesses are now making decisions based on the most recent information. This is due to the real-time data processing and analysis capabilities provided by DWaaS suppliers. Businesses that need immediate insights, like those in the financial or retail sectors, find this beneficial.
Integrating AI and Machine Learning: Machine learning and AI are being used by data warehouse service providers to increase the precision and swiftness of data processing. This makes it easier for companies to detect patterns and trends that are otherwise hard to find, which results in better decision-making.
By gaining new contracts and entering new markets, numerous mid-size businesses are expanding their market presence. Due to technological improvement and product innovation. These market participants use a range of tactics-including alliances and collaborations, mergers & acquisitions, and technological advancements. This directly contributes to the growth of the global data warehouse as a service industry.
Recent Development
The net worth of this Data Warehouse as a Service Market could be almost USD 5,484.9 million in 2023.
The net revenue is likely to surpass USD 41,511.6 million by 2033.
China is leading the Asia Pacific region and could follow 21.7% CAGR through 2033.
Enterprise DWaaS segment had nearly 54.8% in 2022 and dominated the overall market.
Business intelligence application are expected to drive the market with 26.5% market share in 2022.
1. Executive Summary | Data Warehouse as a Service (DWaaS) Market 2. Market Overview 3. Market Background 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Type 5.1. Enterprise DWaaS 5.2. Operational data storage 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application 6.1. Business Intelligence 6.2. Customer Analytics 6.3. Data Modernization 6.4. Operational Analytics 6.5. Predictive Analytics 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Vertical 7.1. BFSI 7.2. Energy and utilities 7.3. Government and public sector 7.4. Healthcare and life sciences 7.5. IT and ITeS 7.6. Manufacturing 7.7. Media and Entertainment 7.8. Retail and consumer goods 7.9. Others 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Mode 8.1. Public Cloud 8.2. Private Cloud 9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Organization Size 9.1. Large Enterprises 9.2. SMEs 10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 10.1. North America 10.2. Latin America 10.3. Europe 10.4. South Asia 10.5. East Asia 10.6. Oceania 10.7. MEA 11. North America Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12. Latin America Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13. Europe Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14. South Asia Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15. East Asia Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 16. Oceania Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 17. MEA Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 18. Key Countries Global Market Analysis 19. Market Structure Analysis 20. Competition Analysis 20.1. Amazon Inc 20.2. IBM Corp 20.3. Microsoft Corp 20.4. Google LLC 20.5. Oracle Systems Corp 20.6. SAP SE 20.7. Snowflake Computing Inc. 20.8. Microfocus International Plc 20.9. Teradata Corp 20.10. Cloudera Inc. 21. Assumptions & Acronyms Used 22. Research Methodology
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