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Submit press release on hosting (Hosting-NewsWire.com, August 09, 2018 ) The Data As A Service (DAAS) Market to Grow steadily at a CAGR of +43% during the forecast period.
Enterprises are increasingly adopting cloud-based data services for their businesses to control costs. DaaS reduces the storage costs for enterprises as they are charged only for the data being utilized. Data analytics helps to simplify the unstructured enterprise data and turn them into meaningful insights for enterprise use. It is easier to use data analytical tools on cloud-stored data because the platform supports quicker retrieval of data through multiple applications and ensures minimal latency. Such growing requirements to reduce data management expenses will augment the adoption of Daas in the coming years.
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The study presents a qualitative and quantitative analysis of the global Data As A Service (DAAS) market, its key segments, regulatory landscape, competitive scenario, and recent developments. A detailed analysis of factors expected to drive and challenge the growth of the market as well as the trends that decide consumer inclination. The report utilizes a variety of primary and secondary research methodologies for gathering quantitative as well as qualitative data on global as well as regional fronts. With the help of a number of industry-best analytical methods, the vast amount of market data thus gathered is filtered and narrowed down to the details that matter the most to companies operating in the market or aspiring to enter it.
Companies Profiled in this report includes, Microsoft Corporation, Google, Amazon Web Services, HP Enterprise Services, IBM Corporation, Oracle Corporation, EMC Corporation, SAP SE, SAS Institute, Teradata Corporation, SunGard, Datameer, Opera Solutions, Sisense, Birst, MapR Technologies, Mirantis, and others.
Data as a Service is emerging as fundamental technologies that upkeep web services and SOA (service-oriented architecture) mature. Increasing penetration of high speed Internet network infrastructure is enabling user to access data irrespective of its location, creating DaaS a lucrative choice for enterprises. Additionally, the advent of SOA has reduced the relevance of the specific platform which resides enterprise data to a significant extent and has in turn contributed to the development of DaaS.
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The analysis of the manufacturing cost structure of the Global Data As A Service Market has been performed based on key aspects such as industry chain structure, manufacturing process, raw materials, and their suppliers. The manufacturing plants analysis and technical data of the market have been explained in the lights of raw material sources, technology sources, research and development status, manufacturing plants distribution, and commercial production date and capacity.
This research, highlighting the current situation of the Global Data As A Service market, focuses on answering some of the important questions faced by stakeholders. By providing answers to all of these questions related to the key drivers and dominant companies, the reportís authors also focus on different factors, which would create new growth opportunities in the global market. Prepared by an expert team, the report on the global Data As A Service market highlights recent developments, key trends, and new project developments in the market. As leading companies take efforts to maintain their dominance in the global market, the right way to do so is by adopting new technologies and strategies.
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Table of Contents
Global Data As A Service (DAAS) Market Research Report 2018
Chapter 1 Global Data As A Service (DAAS) Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Production, Revenue (Value), Price Trend by Type
Chapter 7 Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Data As A Service (DAAS) Market Forecast
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