Growth Drivers
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.
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.
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
Base Year |
2024 |
Forecast Year |
2025-2037 |
CAGR |
22.8% |
Base Year Market Size (2024) |
USD 5.05 billion |
Forecast Year Market Size (2037) |
USD 52.8 billion |
Regional Scope |
|
Author Credits: Abhishek Verma
Copyright © 2024 Research Nester. All Rights Reserved
FREE Sample Copy includes market overview, growth trends, statistical charts & tables, forecast estimates, and much more.
Have questions before ordering this report?