Data Warehouse as a Service Market Trends

Growth Drivers

• Need to Enhance Customer Experience

In order to enhance the experience of the customer historical data could be utilized. In order to give a better customer experience, the data warehouse has completely changed the means by which service models are created and deployed. Companies could analyze the stored data in the warehouse and further might make changes in their service in order to satisfy customers.

• Growing E-Commerce Activity

Currently, there are approximately 3 billion digital consumers which equates to about 32% of the population doing online shopping around the world. Hence, the demand for DWaaS is on the rise. Moreover, e-commerce stores supervise a lot of sensitive data, such as credit card details and client contact information, thus rendering them a tempting target for criminals. Furthermore, e-commerce enterprises may be subject to legislation that includes the GDPR or CCPA that governs the manner in which they handle, process, and keep this information. Hence, it makes it easy for e-commerce organizations to protect sensitive data by storing it in the data warehouse.

• Surge in the Use of AI in DWaaS

Data cleansing in data warehousing is increasingly being automated using artificial intelligence (AI). By utilizing AI to find and eliminate errors, inconsistencies, and missing data from a data warehouse, automated data cleansing, also known as data preparation, makes sure that the data is correct and trustworthy.

Challenges

• Rise in Cyber Attacks - Security is crucial since the DWaaS's data is sensitive and crucial to its operation. Cyber attackers continuously develop new ways to undermine cloud security, necessitating ongoing innovation in security practices. Additionally, although DWaaS suppliers also need to continue developing solutions to this issue, the majority of security breaches are caused by customer negligence. Hence, all this factor is estimated to hinder the market demand.
• Inefficient Architecture & Data Rigidity
• High Cost of Data Warehouse as a Service (DWaaS)