About High Performance Data Analytics
High performance data analytics (HPDA) is using high performance computing (HPC) application to analyse large data sets. It is used for discover patterns and insights. This advance is used for interrogate extremely large data sets in real time. High performance data analytics (HPDA) comprises of the parallel processing to run powerful analytic. Increasing creation of high unstructured data in number of industries mainly uses this high performance data analytics infrastructure.
Attributes | Details |
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Study Period | 2018-2030 |
Base Year | 2023 |
Unit | Value (USD Million) |
CAGR | 23.63% |
The market of High Performance Data Analytics is expected to grow with rising demand from end use industries. Several companies are operating in the market to provide high performance data analytics for multiple functioning and analysis. The market is highly fragmented with the presence of several market players. They are gaining attention owing to their innovative and novel portfolio. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.
Oracle Corporation (United States), SAP SE (Germany), Intel Corporation (United States), Red Hat Inc. (United States), Cisco systems (United States), Teradata Corporation (United States) and Dell Inc. (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are IBM Corporation (United States), Microsoft Corporation (United States), Juniper Networks (United States) and Hewlett Packard Enterprises (United States).
Segmentation Overview
AMA Research has segmented the market of Global High Performance Data Analytics market by Type (On-premises and On-demand) and Region.
On the basis of geography, the market of High Performance Data Analytics has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Data Type, the sub-segment i.e. Unstructured will boost the High Performance Data Analytics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Deployment Type, the sub-segment i.e. Cloud will boost the High Performance Data Analytics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by End Use, the sub-segment i.e. Government will boost the High Performance Data Analytics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Technique, the sub-segment i.e. Graph Analytics will boost the High Performance Data Analytics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.
Influencing Trend:
Augmenting Preference for High Performance Data Analytics for Predictive Analysis
Market Growth Drivers:
Rising Focus of End Use Industries on Managing Unstructured Data and Growing Adoptions of High Performance Data Analytics for Processing Data
Challenges:
Data Security Concern
Restraints:
High Investment Requirement and Strengthen Government Regulations
Opportunities:
Growing Technological Advancements with Automation in, Increasing Amount of Highly Unstructured Data and Rising Government Investment for Enhancing Data Managing Infrastructure
Market Leaders and their expansionary development strategies
In February 2022, it was announced that Siemens and Atos would merge their Cloud PLM businesses to create a leading provider of cloud-based product lifecycle management (PLM) solutions. This merger aimed to combine Siemens' expertise in manufacturing technology with Atos' experience in digital transformation and cloud services, ultimately enhancing data analytics capabilities within the PLM domain for manufacturing companies.
In October 2022, PTC announced the launch of ThingWorx Kepware Industrial Data Bridge, a new product designed to simplify and accelerate industrial data integration for manufacturers. This product aimed to bridge the gap between operational technology (OT) and information technology (IT) systems, allowing manufacturers to collect and analyze data from various sources on the factory floor, enhancing their data analytics capabilities for process optimization and decision making.
Key Target Audience
High Performance Data Analytics Providers, Component -Suppliers, Regulatory Authorities, New Entrants/Investors, Strategic Business Planners, Governments and End Use Industry
About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.
Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.
The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.