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New report examines the global high performance data analytics market

The Global High Performance Data Analytics (HPDA) Market is accounted for $17.8 billion in 2015 and expected to grow at a CAGR of 27.8% to reach $99.6 billion by 2022. Factors such as need for data analysis for efficient workloads, proliferation of Hadoop and transformation of certain disciplines into data driven sciences will boost the market growth.

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However, Government regulations and cyber security & threats are restraining the market growth. Integrating information and analysis across the enterprise and development of more open source projects will provide opportunities for the market.

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The market will face challenges like complex programming due to massive parallelization and huge investments for research and development.

On cloud deployment model segment is projecting the highest share. The software segment is gaining momentum.

North America commanded the largest share of the market. Asia Pacific is the fastest growing market due to proliferation of supercomputers.

The high performance data analytics is a data analysis of complex and time-critical based on analytics and simulation. It is provide data analytics services such as streaming analytics, graph modeling and visualization, emerging architecture analysis, and exploratory data analysis either in the cloud or on premise.

The global high performance data analytics market is expected to have significant growth rate, attributed to growing SMEs comfort in cloud-based services

Report: www.researchnreports.com/request_sample.php?id=52212

The growth of the global high performance data analytics market is driven by increasing the comfort level of companies with cloud-based services and digitalization. Macroeconomic factors such as growing economy, the rapid rate of urbanization, and employment rate as well as the rapid rate of industrialization driving the global high performance data analytics market

The growing number of IT & Database industry around the world is expected to fuel the demand for high performance data analytics market. Moreover, the proliferation for open source frameworks for data analytics coupled with the ability to process large amount of data with high resolution has further expected to drive high performance data analytics over the forecast period.

Report: www.researchnreports.com/.php?id=52212

Some of the key players in global High Performance Data Analytics (HPDA) market are Cisco Systems, Cray Inc, Hewlett Packard Enterprises (HPE), IBM Corporation, Intel Corporation, Juniper Networks, Microsoft Corporation, Oracle Corporation, Red Hat Inc, Dell Inc, Teradata Corporation, SAS Institute, SAP SE, Juniper Networks, ATOS SE, Microsoft Corporation and Intel Corporation.

Data Types Covered:

? Semi-Structured

? Structured

? Unstructured

Deployment Models Covered:    

? On-Cloud

? On-Premises

Table of Content:-

1 Executive Summary        

2 Preface         

 2.1 Abstract        

 2.2 Stake Holders       

 2.3 Research Scope       

 2.4 Research Methodology      

  2.4.1 Data Mining      

  2.4.2 Data Analysis      

  2.4.3 Data Validation      

  2.4.4 Research Approach      

 2.5 Research Sources       

  2.5.1 Primary Research Sources     

  2.5.2 Secondary Research Sources     

  2.5.3 Assumptions      

3 Market Trend Analysis       

 3.1 Introduction       

 3.2 Drivers        

 3.3 Restraints       

 3.4 Opportunities       

 3.5 Threats        

 3.6 End User Analysis       

 3.7 Emerging markets       

 3.8 Futuristic market scenario      

4 Porters Five Force Analysis        

 4.1 Bargaining power of suppliers       

 4.2 Bargaining power of buyers         

 4.3 Threat of substitutes       

 4.4 Threat of new entrants          

 4.5 Competitive rivalry        

5 Global High Performance Data Analytics (HPDA) Market, By Data Type    

 5.1 Introduction       

 5.2 Semi-Structured        

 5.3 Structured        

 5.4 Unstructured       

6 Global High Performance Data Analytics (HPDA) Market, By Deployment Model   

 6.1 Introduction       

 6.2 On-Cloud        

 6.3 On-Premises        

Report: www.researchnreports.com/.php?id=52212

 

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