Active Data Warehousing Market Size

Active Data Warehousing Market Analysis

The Active Data Warehousing Market size is estimated at USD 10.01 billion in 2024, and is expected to reach USD 16.94 billion by 2029, growing at a CAGR of 11.10% during the forecast period (2024-2029).

Additionally, the growth in demand from developing nations is anticipated to open up new opportunities for the active data warehousing market throughout the projection period.

• The active data warehousing market is poised for a significant shift, owing to factors like the ongoing demand for next-gen business intelligence coupled with the growing amount of data organizations generate. ADW allows users to access an enormous range of complex information in real-time. The data is organized efficiently and relevantly, which is anticipated to aid market growth over the forecast period. The rising demand for low latency and high-speed analytics, combined with the growing role of business intelligence in enterprise management, is expected to drive the market demand significantly.
• Further, according to Oracle, in Brazil, with nearly 90% of the population living in urban areas, SKY Brasil has approximately 29% market share for direct-to-home satellite services. The company opted for Oracle's Autonomous Data Warehouse running on Oracle Cloud Infrastructure, integrated into Oracle's Siebel CRM, to perform real-time, sophisticated marketing analytics. The deployer achieved 90% less time in deployment and commencing production than its previous on-premise solution while realizing 60% of infrastructure cost savings. Furthermore, ADW significantly diminishes the cost of computing, coupled with combining data in a single location, which is further projected to impact market growth positively.
• Additionally, ADW substantially decreases the cost of computing, coupled with combining data in a single location, which is also expected to impact the market growth positively. Along with these factors, globally, the significant rise in the Big Data trend in organizations is leading to the increasing demand for analytics, which is also projected to aid market growth. Also, to scale the computing capacity to match the demand and effortlessly scale back down when the usage peaks, vendors in the market have been following resource usage-based models for the pricing of cloud data warehousing. It addresses the issues of economies of scale that vendors may look for and the flexibility that clients demand. However, fixed-capacity data warehouses force organizations to buy more computing capacity than needed.
• Data warehousing has generated a lot of interest in real-world applications, notably in finance, business, healthcare, and other industries, as a result of growing concerns about data management and rising complexity. Digitalizing corporate processes led to the adoption of new technologically advanced operations with data analytics capabilities in the IT industry. As a result, modern data warehouse systems facilitate the development of the real-time, enterprise-scale analytics and information insights required for digital business operations.
• However, the market for active data warehousing is being restrained by various factors, including high installation costs and increased cyber threats.
• COVID-19 created a mixed impact on the market. For instance, in a survey of 300 analytics professionals in the US, Burtch Works and the International Institute for Analytics (IIA) revealed that over 43% of respondents said that analytics was a crucial factor in their actions to make essential choices in response to the COVID-19 problem. Companies scaled back operations due to the pandemic epidemic, reduced expenses, and closed offices. The widespread adoption of the work-from-home paradigm presents another difficulty for firms. Cloud-based data warehouse installations are anticipated to be accelerated by such developments. The pandemic provided numerous advantages for adopting data warehousing, including cost-effectiveness, access to a large skill pool, and enhanced scalability.