Big Data as a Service Market Projected to Register 31.52% CAGR to 2025 | IBM Corporations, Microsoft Corporations, Oracle Corporations, SAP SE, Hewlett-Packard Company, Cisco System, SAS Institute, Accenture

Big Data as a Service Market

Big data as a service is a term typically used to refer to services that offer analysis of large or complex data sets, usually over the Internet, as cloud hosted services. Similar types of services include software as a service or infrastructure as a service, where specific big data as a service options are used to help businesses critical situations. Big data helps the organizations to create new growth opportunities and entirely new categories of companies that can combine and analyze industry data. Big data also understands and optimizes business processes. Retailers can easily optimize their stock based on predictive models generated from the social media data.

Global Big Data as a Service Market valued approximately USD 3.13 billion in 2017 is anticipated to grow with a healthy growth rate of more than 31.52% over the forecast period 2018-2025. The extensive growth of data and growing demand of real time data analytics are the major drivers prevailing in the big data as a service market. Global Big Data as a Service Market is primarily driven by the increasing requirement of structured data for analysis which helps the organizations to achieve their goals or targets and grow at a faster pace with then changing environment. The major restraining factor in big data as a service market are lack of skilled professionals and complexity associated with the projects.

Some of the key players of Big Data as a Service Market:
IBM Corporations, Microsoft Corporations, Oracle Corporations, SAP SE, Hewlett-Packard Company, Cisco System Inc., SAS Institute, Information Builders Inc., Accenture PLC, Thoughtspot Inc. , Datastax Inc., Alteryx Ltd., Atscale Inc., Opera Solutions LLC, Guavus Inc.

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The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Solution Type:
- Hadoop as a service
- Data as a Service
- Data Analytics as a Service

By Deployment Model:
- Public Cloud
- Private Cloud
- Hybrid Cloud

By End-User:
- Telecom and IT
- Energy and Power
- BFSI
- Healthcare
- Retail
- Manufacturing
- Others

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What the report features:-

  1. Global analysis of Big Data as a Service Market from 2018 – 2025 illustrating the progression of the market.
  2. Forecast and analysis of Big Data as a Service Market by Dosage, Route of Administration and Application from 2018 – 2025.
  3. Forecast and analysis of Big Data as a Service Market in five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America.

Reason to Buy:

  1. Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global Big Data as a Service Market.
  2. Highlights key business priorities in order to assist companies to realign their business strategies.
  3. The key findings and recommendations highlight crucial progressive industry trends in the Big Data as a Service Market, thereby allowing players to develop effective long term strategies.
  4. Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
  5. Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it.
  6. Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to products, segmentation and industry verticals.

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