Most Comprehensive Report Available covering Next Generation Computing
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Overview:
The next generation computing market is characterized by many different approaches to solve many different problems, but all with certain commonalities. Those driving factors include market needs for computation speed and efficiency, reduced energy consumption, miniaturization, evolving architectures and business models.
There are many technologies involved, including distributed computing (swarm computing), computational collaboration (bio-computing), improving performance of existing supercomputers, and completely new computer architectures (Quantum Computing). Each of these approaches has their own advantages and disadvantages. Many of these different computing architectures and methods stand alone in terms of their ability to solve market problems.
Computing companies are racing to develop next generation computing technologies to solve a myriad of problems ranging from integrating artificial intelligence (at the chipset, IC, and component level) and cognitive computing to improving the efficiency and effectiveness of supercomputers. The commercial introduction of Quantum Computing is anticipated to both solve and create new problems as previously unsolvable problems will be solved.
This multiplicity of developments with next generation computing makes it difficult for the enterprise or government user to make decisions about infrastructure, software, and services.
This report evaluates next generation computing technologies, use cases, and applications. Market readiness factors are considered along with the impact of different computational methods upon other emerging technologies. The report provides analysis of leading edge developments such as computer integration with human cognition via bio-computing and brain-computer interfaces.
Other pioneering areas are covered such as such as leveraging developments in nanotechnology to develop more effective computing models and methods. The report includes critical analysis of leading vendors and strategies. The report includes detailed market forecasts for next generation computing approach for the period of 2018 – 2023.
Select Report Findings:
- North America will be the leading region for the next generation computing market
- The swarm computing component of NGC market will grow at highest CAGR globally
- Bio-sciences/healthcare, financial services, and energy sector will be leading verticals globally
- High Performance Computing as a Service will Account for 43% of total the HPC market by 2023
- Global NGC market for large enterprise is 4X larger than SMB, but the latter is growing twice as fast
- A successful next generation computing system approach combines infrastructure, devices, and software
- Planning NGC systems will require an integrated approach including edge computing and wireless connectivity
Report Benefits:
- Next generation computing forecasts for 2018 –2023
- Understand the importance of HPC as a Service (HPCaaS)
- Identify the products and services of key NGC companies
- Understand the factors responsible for growth of NGC market
- Gain insights from exclusive recommendation for market players
- Learn the relationship between NGC and other emerging technologies
- Understand the future of next generation computing solutions for enterprise
Target Audience:
- ICT service providers
- Governments and NGOs
- Semiconductor providers
- ICT infrastructure providers
- Data and computing companies
With the purchase of this report at the Multi-user License or greater level, you will have access to one hour with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This will need to be used within three months of purchase.
This report also includes a complimentary Excel file with data from the report for purchasers at the Site License or greater level.
Table of Contents
1.0 Executive Summary
Companies Mentioned
- 1QB Information Technologies Inc. (IQbit)
- ABM Inc.
- Advanced Brain Monitoring Inc.
- Advanced Diamond Technologies Inc.
- Advanced Micro Devices Inc.
- Agilent Technologies Inc.
- Airbus Group
- Alibaba Group Holding Limited (Alibaba Cloud)
- Amazon Web Services Inc.
- Apium Swarm Robotics
- Atos SE
- Booz Allen Hamilton Inc.
- CA Technologies
- Cambridge Quantum Computing Ltd. (CQC)
- Cisco Systems
- D-Wave Systems Inc.
- DELL Technologies Inc.
- Emotiv
- Fujitsu Ltd
- Gemalto N.V.
- Google Inc.
- Hewlett Packard Enterprise (HPE)
- Huawei Technologies Co. Ltd.
- IBM Corporation
- Intel Corporation
- Iron.io
- Juniper Networks Inc.
- Keysight Technologies
- Lockheed Martin Corporation
- LunchBadger
- MagiQ Technologies Inc.
- Microsoft Corporation
- Mitsubishi Electric Corp.
- NEC Corporation
- Nokia Corporation
- NTT Docomo Inc.
- NVIDIA
- Oracle Corporation
- Other Companies
- Qualcomm Inc.
- Rackspace inc.
- Raytheon Company
- Rigetti Computing
- Robert Bosch GmbH
- Salesforce
- Samsung Electronics Co. Ltd.
- SAP SE
- Schneider Electric SE
- Serverless Inc.
- Siemens AG
- TIBCO Software Inc.
- Toshiba Corporation
- Volkswagen AG
- Waters Corporation
Methodology
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