Report ID: UCMIG45C2005
Report ID:
UCMIG45C2005 |
Region:
Global |
Published Date: Upcoming |
Pages:
165
| Tables: 55 | Figures: 60
Big Data as a Service (BDaaS) is a cloud-based framework that provides organisations with end-to-end big data solutions on demand. Hadoop-as-a-Service (HDaaS), Data-as-a-Service (DaaS), and Data Analytics-as-a-Service are all components of BDaaS. (DAaaS). The need for technologically advanced big data solutions to store, assess, gather, visualise, and make predictions from massive data volumes has grown as the necessity for assuring high data quality and developing a channelized data flow in businesses has grown. The global market for Big Data as a Service (BDaaS) is predicted to develop rapidly in the next years as cloud-based data analytics solutions become more popular.
This report is being written to illustrate the market opportunity by region and by segments, indicating opportunity areas for the vendors to tap upon. To estimate the opportunity, it was very important to understand the current market scenario and the way it will grow in future.
Production and consumption patterns are being carefully compared to forecast the market. Other factors considered to forecast the market are the growth of the adjacent market, revenue growth of the key market vendors, scenario-based analysis, and market segment growth.
The market size was determined by estimating the market through a top-down and bottom-up approach, which was further validated with industry interviews. Considering the nature of the market we derived the Data Processing & Outsourced Services by segment aggregation, the contribution of the Data Processing & Outsourced Services in Software & Services and vendor share.
To determine the growth of the market factors such as drivers, trends, restraints, and opportunities were identified, and the impact of these factors was analyzed to determine the market growth. To understand the market growth in detail, we have analyzed the year-on-year growth of the market. Also, historic growth rates were compared to determine growth patterns.
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Report ID: UCMIG45C2005