FEATURED COMPANIES
- Accenture
- Amazon Web Services Inc.
- Google Inc.
- IBM
- MicroStrategy Inc.
- Oracle Corporation
The global big data as a service (BDaaS) market reached a value of US$ 30.63 Billion in 2021. Looking forward, the publisher expects the market to reach US$ 103.31 Billion by 2027, exhibiting a CAGR of 22.14% during 2022-2027. Keeping in mind the uncertainties of COVID-19, they are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor
Big data as a service, abbreviated as BDaaS, is a cloud-based service related to the delivery of tools or information based on statistical analysis that helps an organization to understand and use the insights generated in order to improve their efficiency. BDaaS can be used as a software that is operated by a team of data scientists. It relies on the internet or cloud storage for providing uninterrupted access to data. It decreases the efforts required to manually process data through a platform or an analytics program. Furthermore, its predictive analysis assists the organizations to have a competitive edge and gain operational efficiency
Data-as-a-Service (DaaS)
Data Analytics-as-a-Service (DAaaS)
2. What are the global big data as a service market drivers?
3. What are the major trends in the global big data as a service market?
4. What is the impact of COVID-19 on the global big data as a service market?
5. What is the global big data as a service market breakup by deployment model?
6. What is the global big data as a service market breakup by organization size?
7. What is the global big data as a service market breakup by vertical?
8. What are the major regions in the global big data as a service market?
Big data as a service, abbreviated as BDaaS, is a cloud-based service related to the delivery of tools or information based on statistical analysis that helps an organization to understand and use the insights generated in order to improve their efficiency. BDaaS can be used as a software that is operated by a team of data scientists. It relies on the internet or cloud storage for providing uninterrupted access to data. It decreases the efforts required to manually process data through a platform or an analytics program. Furthermore, its predictive analysis assists the organizations to have a competitive edge and gain operational efficiency
Big Data as a Service Market Trends:
The thriving banking, financial services, and insurance industry (BFSI) is one of the key factors driving the market growth. The increasing rate of internet penetration coupled with the development of Internet of Things (IoT) across various industry sectors, is also augmenting the market growth. An enormous amount of unstructured data is generated by various sectors, which is processed using big data to create space for effective utilization of organizational resources. The implementation of BDaaS has enabled organizations to efficiently make data-driven decisions as it aids in the forecast of event outcomes. This consequently helps organizations to reduce their upfront data storage, management and infrastructure costs. Utmost precision along with insightful analytical results is the key feature favoring the adoption of big data services across many organizations. Moreover, the growing adoption of cloud computing coupled with the increasing focus on research and development (R&D) activities to launch services with more enhanced security features is also projected to positively impact the industry growth in the coming yearsKey Market Segmentation:
The publisher provides an analysis of the key trends in each sub-segment of the global big data as a service market, along with forecasts at the global and regional level from 2022-2027. Our report has categorized the market based on solution, deployment model, platform type, organization size and verticalsBreakup by Solution:
Hadoop-as-a-Service (HDaaS)Data-as-a-Service (DaaS)
Data Analytics-as-a-Service (DAaaS)
Breakup by Deployment Model:
- Public Cloud
- Private Cloud
- Hybrid Cloud
Breakup by Platform Type:
- JAVA
- Microsoft
- Oracle
- SAP
- Others
Breakup by Organization Size:
- Small and Medium-Sized Enterprises
- Large Enterprises
Breakup by Verticals:
- BFSI
- Healthcare
- Retail
- IT and Telecommunication
- Manufacturing
- Media and Entertainment
- Others
Breakup by Region:
- North America
- Europe
- Asia Pacific
- Middle East and Africa
- Latin America
Competitive Landscape:
The report has also analysed the competitive landscape of the market with some of the key players being Amazon Web Services Inc., Oracle Corporation, Google Inc., Hewlett-Packard, SAP SE, Accenture, IBM, SAS Institute, Dell EMC, Teradata, Alteryx Ltd, Opera Solutions, Wipro, Information Builders and MicroStrategy Inc., etcKey Question Answered in this Report
1. What will be the global big data as a service market growth?2. What are the global big data as a service market drivers?
3. What are the major trends in the global big data as a service market?
4. What is the impact of COVID-19 on the global big data as a service market?
5. What is the global big data as a service market breakup by deployment model?
6. What is the global big data as a service market breakup by organization size?
7. What is the global big data as a service market breakup by vertical?
8. What are the major regions in the global big data as a service market?
FEATURED COMPANIES
- Accenture
- Amazon Web Services Inc.
- Google Inc.
- IBM
- MicroStrategy Inc.
- Oracle Corporation
1 Preface3 Executive Summary7 Value Chain Analysis
2 Scope and Methodology
4 Introduction
5 Global Big Data as a Service Market
6 SWOT Analysis
8 Porter’s Five Forces Analysis
9 Market Breakup by Solution
10 Market Breakup by Deployment Model
11 Market Breakup by Platform Type
12 Market Breakup by Organization Size
13 Market Breakup by Verticals
14 Market Breakup by Region
15 Competitive Landscape
List of Figures
List of Tables
- Amazon Web Services Inc.
- Oracle Corporation
- Google Inc.
- Hewlett-Packard
- SAP SE
- Accenture
- IBM
- SAS Institute
- Dell EMC
- Teradata
- Alteryx Ltd
- Opera Solutions
- Wipro
- Information Builders
- MicroStrategy Inc.
LOADING...
