[152 Pages Report] The High Performance Data Analytics Market expected to grow from USD 25.71 billion in 2016 to USD 78.26 billion by 2021, at a CAGR of 24.9 % from 2016 to 2021. HPDA refers to big data analytics being carried out on High-Performance Computing (HPC) methods. This technology has the ability to get data at high rates and then involving advanced analytical software to extract actionable insights. The supercomputers deploying HPC with advanced analytics are robust and dynamic systems that are made to handle complex queries, multiple variables, and quick turnaround requirements. Enterprises are keen on adopting this technology as it helps them with advanced analytical modelling techniques like stochastic modeling in the financial services or parametric modeling in the manufacturing sector to bring about transformational meaning to the data. The base year considered for the study is 2015, and the forecast has been provided for the period between 2016 and 2021.

Market Dynamics

Drivers

Proliferation of open source frameworks (Hadoop) for big data analytics

Ability of powerful HPC systems to process data at higher resolutions

Restraints

High investment cost involved in the deployment of HPC systems

Government rules and regulations

Opportunities

Incapability of traditional BI and analytical approaches to provide HPDA solutions

Unmanageable amount of data volume across various industries

Challenges

Complexity in programming due to massive parallelization

Difficulty in getting sponsorship for R&D for innovation in scientific and engineering computational tools

Proliferation of open source frameworks (Hadoop) for big data analytics

Hadoop is the current choice for software vendors because of its innate quality of handling large voluminous unstructured amount of data with ease. The software leverages on its deployment vis-�-vis the traditional database software as it offers scalability. Scalability allows more servers to be accommodated in the near future, if the need arises. Moreover, Hadoop is resilient to failure as it ensures the replication of data to other nodes in clusters. Thus, in the case of manmade or natural calamities, the data backup ensures operational continuity. The HPDA market, which is governed by advanced analytics on high-performance computers deploys Hadoop as its first choice as it helps data scientists to handle voluminous data in real time, thereby improving performance in the storage hierarchy.

The following are the major objectives of the study.

To describe and forecast the High Performance Data Analytics (HPDA) market, in terms of components, data types, deployment models, and verticals

To describe and forecast the High Performance Data Analytics (HPDA) market by region� North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA), and Latin America

To provide detailed information regarding major factors influencing market growth (drivers, restraints, opportunities, and challenges)

To strategically analyze micromarkets with respect to individual growth trends, prospects, and contributions to the overall market

To study the complete value chain of High Performance Data Analytics (HPDA) market

To analyze opportunities in the market for stakeholders by identifying the high-growth segments of the High Performance Data Analytics (HPDA) ecosystem

To strategically profile key players and comprehensively analyze their market position in terms of ranking and core competencies, along with detailing competitive landscape for market leaders

To analyze strategic approaches such as product launches, acquisitions, contracts, agreements, and partnerships in the High Performance Data Analytics (HPDA) market

During this research study, major players operating in the High Performance Data Analytics (HPDA) market in various regions have been identified, and their offerings, regional presence, and distribution channels have been analyzed through in-depth discussions. Top-down and bottom-up approaches have been used to determine the overall market size. Sizes of the other individual markets have been estimated using the percentage splits obtained through secondary sources such as Hoovers, Bloomberg BusinessWeek, and Factiva, along with primary respondents. The entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews with industry experts such as CEOs, VPs, directors, and marketing executives for key insights (both qualitative and quantitative) pertaining to the market. The figure below shows the breakdown of the primaries on the basis of the company type, designation, and region considered during the research study.

To know about the assumptions considered for the study, download the pdf brochure

The High Performance Data Analytics (HPDA) market comprises a network of players involved in the research and product development; system integrator; software and service provider; distribution and sale; and post-sales services. Key players considered in the analysis of the High Performance Data Analytics (HPDA) market are Cisco systems (US), SAP SE (Germany), Red Hat Inc. (US), Dell Inc. (US), Teradata Corporation (US), SAS Institute (US), IBM Corporation (US), Hewlett Packard Enterprises (US), Oracle Corporation (US), Microsoft Corporation (US), Intel Corporation (US), Cray Inc. (US), Juniper Networks (US), and ATOS SE (France).

Major Market Developments

In August 2016, HPE signed a definitive agreement to acquire SGI, a global leader in high-performance solutions for compute, data analytics, and data management. The acquisition would help HPE to further enhance its product portfolio related to high-growth big data analytics and HPC

In April 2016, Dell launched new HPC system that simplifies configuration and speeds up deployment and time to results. The new system includes the latest Intel Xeon processor families that supports Intel Omni-path Architecture fabric and software in Dell HPC Lustre Storage and Dell HPC NFS Storage solutions

In July 2015, IBM, along with NVDIA and Mellanox, unveiled a new design center in France. This design center would provide its end users an entire eco-system of HPC, data analytics, enterprise computing software, and many more on POWER platform. This move would further strengthen the hold of all three companies on the French and European market

Target Audience:

High Performance Data Analytics (HPDA) software vendors

Cloud Service Providers (CSPs)

Managed Service Providers (MSPs)

System integrators

Networking companies

Third-party providers

Value-Added Resellers (VARs)

Government agencies

Consultants/consultancies/advisory firms

Support and maintenance service providers

Technology providers

Report Scope:

By Component

Hardware Server Storage

Software

Services Managed services Professional services Consulting Services Education and training Support and maintenance



By High Performance Data Analytics (HPDA) data type

Unstructured

Semi-structured

Structured

By Deployment Model

On-premises

On-demand/On-cloud

By Industry Vertical

Banking, Financial Services, and Insurance (BFSI)

Government and Defense

Manufacturing

Academia and Research

Healthcare and life sciences

Media and Entertainment

Energy and Utilities

Retail and Consumer Goods

Transportation and Logistics

IT and Telecommunications

Others

By Region

North America

Europe

Middle East and Africa (MEA)

Asia Pacific (APAC)

Latin America

Critical questions which the report answers

What are new application areas which the High Performance Data Analytics (HPDA) companies are exploring?

Which are the key players in the market and how intense is the competition?

Available Customizations:

With the given market data, MarketsandMarkets offers customizations as per the company�s specific needs. The following customization options are available for the report:

Geographic Analysis

Further breakdown of the North American High Performance Data Analytics (HPDA) market

Further breakdown of the European High Performance Data Analytics (HPDA) market

Further breakdown of the APAC High Performance Data Analytics (HPDA) market

Further breakdown of the MEA High Performance Data Analytics (HPDA) market

Further breakdown of the Latin American High Performance Data Analytics (HPDA) market

Company Information

Detailed analysis and profiling of additional market players

The overall High Performance Data Analytics (HPDA) market is expected to grow from USD 25.71 billion in 2016 to USD 78.26 billion by 2021 at a CAGR of 24.9% during the forecast period. Proliferation of open source frameworks (Hadoop) for big data analytics and ability of powerful HPC systems to process data at higher resolutions are the key factors driving the growth of this market.

HPDA refers to big data analytics being carried out on High-Performance Computing (HPC) methods. This technology has the ability to get data at high rates and then involving advanced analytical software to extract actionable insights. The supercomputers deploying HPC with advanced analytics are robust and dynamic systems that are made to handle complex queries, multiple variables, and quick turnaround requirements. Enterprises are keen on adopting this technology as it helps them with advanced analytical modelling techniques like stochastic modeling in the financial services or parametric modeling in the manufacturing sector to bring about transformational meaning to the data.

The High Performance Data Analytics (HPDA) market has been segmented, on the basis of component, data types, deployment model, and industry verticals. APAC is expected to grow at the highest CAGR during the forecast period. With new growth opportunities and initiatives taken by highly contributing countries like India, China, and others to promote the emerging technologies like IoT have provided tremendous opportunities to HPDA solution vendors in this region.

The other countries of APAC include Singapore, Korea, Hong Kong, Indonesia, and Malaysia. The countries are looking forward to embracing the new technologies and adopting HPDA in their mainframe IT infrastructure. For example, supercomputers are aggressively deployed by local community in Singapore with several universities like Institute of HPC, A*Star Computational Resource Centre, and others. Therefore, the deployment of HPDA technology looks very bright in the region.

Unstructured, semi-structured, and structured are the major data types, which are driving the growth of High Performance Data Analytics (HPDA) market

Unstructured

Unstructured data refers to information which does not have a predefined data model or is organized in a proper manner. This data type usually does not reside in the traditional row column database of an enterprise. According to a study, around 2.7 quintillion bytes of data is generated per day in the world. The different sources of unstructured data are social media posts, sensors, digital photos, and other medium. Around 95 % of the digital data is present in the unstructured form. The metadata associated with the unstructured data helps in data handling and file processing.

Semi-structured

Semi-structured data is a cross between the structured and unstructured data. On one hand, the data lacks the strict data model structure; on the other hand, it is characterized by tags and other markers to differentiate the semantic elements within the data. Semi-structured data does not have the rigid structure of a relational database but does have some organizational properties that allows it to be analyzed easily. Semi-structured data can be found in documents, e-mails, tweets, and other social media, and is of profound relevance to the enterprises. Most of the data in the internet era is semi-structured and needs to be tailored as per organizational requirements.

Structured

Structured data is the organized form of data, usually text files, which is self-explanatory and does not require additional processing. The data is displayed in titled columns and rows, which can be easily ordered and processed by data mining tools. Analytical tools like predictive and prescriptive analytics can be easily applied on such data with high accuracy. The data is easily searchable by simple search engine algorithms and thereby it is to derive meaning from this data.

Critical questions the report answers:

Where will all these developments take the industry in the mid to long term?

What are the upcoming industry applications of the High Performance Data Analytics (HPDA) market?

The high investment cost involved in the deployment of HPC systems and government rules and regulations are the major factors restraining the growth of the High Performance Data Analytics (HPDA) market. The major limitation of High Performance Data Analytics (HPDA) is Complexity in programming due to massive parallelization and Difficulty in getting sponsorship for R&D for innovation in scientific and engineering computational tools. This may limit the companies to invest in High Performance Data Analytics (HPDA). High Performance Data Analytics (HPDA) is yet to be embraced by many large enterprises and most of the Small and Medium-Sized Enterprises (SMEs), to leverage its potential for transforming business processes.

Key players in the market include Cisco systems (US), SAP SE (Germany), Red Hat Inc. (US), Dell Inc. (US), Teradata Corporation (US), SAS Institute (US), IBM Corporation (US), Hewlett Packard Enterprises (US), Oracle Corporation (US), Microsoft Corporation (US), Intel Corporation (US), Cray Inc. (US), Juniper Networks (US), and ATOS SE (France). These players are increasingly undertaking mergers and acquisitions, and product launches to develop and introduce new technologies and products in the market.

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