The global active data warehousing (ADW) market is predicted to reach USD 7.78 billion in 2024 and USD 13.21 billion in 2029, growing at a CAGR of 11.17% during the forecast period.
An active data warehouse can be used to find trends and patterns for future decision-making. It can integrate data changes and, at the same time, can maintain batch or scheduled cycle updates. The increasing reliance on big data analytics and business intelligence solutions has predominantly increased the need for more sophisticated data storage administrators and developers. With growing concerns about data manageability and increasing complexity, data warehousing has attracted vital interest in real-life applications, particularly in finance, business, healthcare, and other industries. The digital transformation of business processes led the IT industry to embrace new technology-enabled operations with data analytics capabilities.
The growing demand for high-speed, low-latency analytics, combined with the increasing role of business intelligence in business management, is expected to boost market demand significantly. The increasing number of smartphone users in developing countries such as India, Brazil, and China, coupled with social media traffic, is generating a growing data stream that requires additional capabilities, including real-time data storage.
Another key market driver is the growing need for solutions with BI capabilities. Various government initiatives and physicians' increased use of data analytics to improve primary care, such as disease detection and prevention, are driving the market. As a result, many healthcare facilities have started spending more on active data storage to increase cost savings. During the forecast period, growing demand for BI and real-time analytics from insurance companies and other BFSI companies is expected to drive demand for ADW in the coming years across the globe.
They can also save the data to a cloud warehouse and perform onsite analysis. Another compelling reason for the rapid adoption of the hybrid model is the organization's investment in configuring the hardware and software on-premises. Hardware and software infrastructure is expensive, and businesses may not be willing to forgo the capital expenditures they have made to migrate to the cloud. Rather than migrating entirely to cloud infrastructure, the best possible substitute will be to inherit the hybrid model and take full advantage of both. Now that companies generate a massive volume of data that must be processed in real time to make effective decisions to drive the process, companies worldwide are significantly embracing big data analytics, one of the market's critical drivers.
The flexibility of deployments has emerged over the years, with data warehouse vendors like Actian Corporation making it available on-premises and in multiple cloud environments, including Azure and AWS. Actian's hybrid solution is developed as a cloud-based data warehouse integrated natively into the product to allow its business customers to quickly and economically leverage various data sources for high-performance analytics in the cloud and for local solutions.
According to a survey of 300 analytics professionals in the United States by Burtch Works and the International Institute of Analytics (IIA), nearly 43% of respondents said that analytics played an essential role in their decision-making activities. Important in response to the COVID-19 crisis. The outbreak of the pandemic has led companies to downsize their operations, cut costs and close their offices. Another challenge companies have faced is the massive shift to the work-from-home model. These trends act as catalysts for cloud-based standby data warehouse deployments. The adoption of data warehousing during the pandemic has delivered many benefits, from cost-effectiveness and access to a broad pool of talents to increased scalability.
REPORT METRIC |
DETAILS |
Market Size Available |
2023 to 2029 |
Base Year |
2023 |
Forecast Period |
2024 to 2029 |
CAGR |
11.17% |
Segments Covered |
By Deployment Mode, End User, and Region |
Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
Regions Covered |
North America, Europe, APAC, Latin America, Middle East & Africa |
Market Leaders Profiled |
Oracle Corporation, Hewlett Packard Enterprise Co, Microsoft Corporation, SAP SE, Amazon Web Services Inc., IBM Corporation, Teradata Corporation, Tresure Data Inc., Cloudera Inc., Snowflake Computing Inc, Pivotal Software, Inc., Huawei Technologies Co. Ltd, Kognitio Ltd, and Others. |
North American organizations significantly embrace analysis in several verticals, compared to European or Asia Pacific organizations. The United States is considered the leading country in the global active data warehousing market due to the high demand and the presence of suppliers. Additionally, according to Telecom Advisory Services, in 2019, the United States generated 41.52 million exabytes of internet traffic per month. As per Cisco's studies, cloud traffic in North America was valued at around 4,860 exabytes per annum in 2019.
The major companies operating in the global active data warehousing market include Oracle Corporation, Hewlett Packard Enterprise Co, Microsoft Corporation, SAP SE, Amazon Web Services Inc, IBM Corporation, Teradata Corporation, Tresure Data Inc., Cloudera Inc., Snowflake Computing Inc., Pivotal Software, Inc., Huawei Technologies Co. Ltd, and Kognitio Ltd.
In June 2020 - Oracle Application Express (APEX) was available on Oracle Autonomous Database Cloud. The enormous benefits of a fully managed, autonomous database cloud service and an industry-leading low-code platform for comprehensive application development and deployment offer customers efficient capabilities. Autonomous Database is offered in two versions exclusively by Oracle that can be optimized according to online transaction processing and data storage needs.
In May 2020: Informatica, an enterprise cloud data management provider, is building integration with SAP to streamline businesses to the cloud by adopting SAP's cloud data and analytics portfolio and cloud services. The new combination includes the implementation of SAP Data Warehouse Cloud, which can offer assistance in integration with traditional data warehouses and numerous applications and databases located locally and in the cloud.
By Deployment Mode
Cloud
On-Premises
Hybrid
Of these, the hybrid deployment is anticipated to record a noteworthy growth rate in the worldwide marketplace in the projection period.
By End-User
Large Enterprises
Small and Medium Enterprises
By Region
North America
The United States
Canada
Rest of North America
Europe
The United Kingdom
Spain
Germany
Italy
France
Rest of Europe
The Asia Pacific
India
Japan
China
Australia
Singapore
Malaysia
South Korea
New Zealand
Southeast Asia
Latin America
Brazil
Argentina
Mexico
Rest of LATAM
The Middle East and Africa
Saudi Arabia
UAE
Lebanon
Jordan
Cyprus
Frequently Asked Questions
The market addresses data complexity by incorporating scalable architectures, advanced analytics, and in-memory processing, enabling organizations to handle large volumes of diverse data in real-time.
Global enterprises leverage Active Data Warehousing for real-time business intelligence by accessing up-to-the-minute insights, enabling quick decision-making, and gaining a competitive edge in dynamic markets.
Challenges include the integration complexity with legacy systems, the need for data migration strategies, and ensuring compatibility with diverse data sources. Overcoming these challenges is crucial for successful implementation.
Data security is a top priority in the Active Data Warehousing market, with solutions incorporating robust encryption, access controls, and compliance features to ensure the protection of sensitive information and adherence to global privacy regulations.
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