Global Next Generation Computing Market Report 2023: Banking, Bioscience and Government Sectors Represent Top HPC Verticals to 2028

Estimated read time: 5 min

Dublin, Jan. 31, 2023 (GLOBE NEWSWIRE) — The “next-generation computing market: bio-computing, brain-computer interfaces, high-performance computing, nano-computing, neuromorphic computing, serverless computing, swarm computing and Quantum Computing 2023-2028” report has been added to from ResearchAndMarkets.com offer.

This Next Generation Computing Market report assesses next generation computing technologies, use cases and applications. Market readiness factors are considered as well as the impact of different calculation methods on other emerging technologies.

The report provides an analysis of cutting-edge developments such as the integration of computer with human cognition via bioinformatics and brain-computer interfaces. Other pioneering areas covered include exploiting developments in nanotechnology to develop more efficient computational models and methods.

The report includes a critical analysis of key vendors and strategies. The report includes the next-generation computing market size for the period from 2023 to 2028.

Select report results:

  • Neuromorphic computing market to reach $8.3 billion by 2028
  • Swarm computing for the military segment will grow at a CAGR of 32.6% globally
  • Key components of swam computing include optimization, clustering, scheduling, and routing
  • Banking, bioscience and government sectors representing key HPC verticals through 2028
  • Brain-computer interface technology for disability repair/support to hit $1.7 billion by 2028
  • Functional Magnetic Resonance Imaging Brain-Computer Interface Solutions to Hit $426 Million by 2028
  • Bioinformatics for molecular medicine and gene therapy to reach $19.1 billion and $12.1 billion respectively by 2028

Many technologies are involved, including distributed computing (swarm computing), collaborative computing (bioinformatics), improving the performance of existing supercomputers, and entirely new computing architectures such as those associated with quantum computing. Each of these approaches has its own advantages and disadvantages. Many of these different computing architectures and methods are self-contained in terms of their ability to solve market problems.

Next-generation computing technologies covered in this report include:

  • High performance computing
  • quantum computing
  • Neuromorphic Computing
  • Serverless Computing
  • Bioinformatics
  • Nanoinformatics
  • Brain-computer interface

More than just an amalgamation of technologies, the next-generation computing market is characterized by many different approaches to solving a plethora of computing challenges. Common factors driving the market include the need for ever-increasing computing speed and efficiency, reduction in power consumption, miniaturization, changing architectures and business models.

High performance computing

High performance computing (HPC) solves complex computing problems using supercomputers and parallel computing techniques, algorithms and processing systems. HPC leverages various techniques including computer modeling, simulation, and analysis to solve advanced computational problems and perform research activities while enabling the concurrent use of computing resources.

quantum computing

The commercial introduction of quantum computing is expected 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.

Bioinformatics

Bioinformatics refers to the construction and use of computers using molecules of biological origin, including DNA and proteins, to perform computer calculations such as storing, retrieving and processing data. The computer system functions more like a living organism or contains biological components.

Neuromorphic Computing

Neuromorphic computing refers to the implementation of neural systems such as perception, motor control and multisensory integration for very large scale integration systems combining analog circuits or digital circuits or mode circuits. mixed and software systems.

Neuromorphic computing uses neuromorphic engineering techniques that draw on biology, physics, mathematics, computer science and electronic engineering to develop artificial neural systems, including vision systems, head-eye systems, auditory processors and autonomous robots.

Nanoinformatics

Nanocomputing refers to miniature computing devices (less than 100 nanometers) that are used to perform critical tasks such as representing and manipulating data. Nanocomputing is expected to revolutionize the way traditional computing is used in key industry sectors, enabling advancements in device technology, computer architectures and integrated circuit processing. This technology area will help to significantly advance implantable technologies inserted into the human body, primarily for various healthcare solutions.


Main topics covered:

1.0 Executive Summary

2.0 Presentation

3.0 Technology and Application Analysis
3.1 High Performance Computing
3.1.1 HPC Technology
3.1.2 Exascale calculation
3.1.2.1 Development of exascale supercomputers
3.1.2.1.1 United States
3.1.2.1.2 China
3.1.2.1.3 Europe
3.1.2.1.4 Japan
3.1.2.1.5 India
3.1.2.1.6 Taiwan
3.1.3 Supercomputers
3.1.4 High performance technical calculation
3.1.5 Market Segmentation Considerations
3.1.6 Use cases and areas of application
3.1.6.1 Computer-aided engineering
3.1.6.2 Government
3.1.6.3 Financial services
3.1.6.4 Education and research
3.1.6.5 Manufacturing
3.1.6.6 Media and entertainment
3.1.6.7 Electronic design automation
3.1.6.8 Biosciences and healthcare
3.1.6.9 Energy management and utilities
3.1.6.10 Earth Sciences
3.1.7 Regulatory framework
3.1.8 Value chain analysis
3.1.9 AI to Drive HPC Performance and Adoption
3.2 Swarm calculation
3.2.1 Swarm Computing Technology
3.2.1.1 Optimization of ant colonies
3.2.1.2 Particle swarm optimization
3.2.1.3 Search by stochastic diffusion
3.2.2 Swarm Intelligence
3.2.3 Swarm Computing Capabilities
3.2.4 Value chain analysis
3.2.5 Regulatory framework
3.3 Neuromorphic computing
3.3.1 Neuromorphic computing technology
3.3.2 Neuromorphic semiconductor
3.3.2.1 Hardware neurons
3.3.2.2 Implanted memory
3.3.3 Neuromorphic application
3.3.4 Neuromorphic Market Explained
3.3.5 Value chain analysis
3.4 Bioinformatics
3.4.1 Bioinformatics
3.4.2 Computational Biology and Drug Discovery
3.4.3 Biodata mining and protein simulations
3.4.4 Bioinformatics platform and services
3.4.5 Bioinformatics application
3.4.6 Bioinformatics products
3.4.7 Value chain analysis
3.5 Quantum computing
3.5.1 Quantum simulation, detection and communication
3.5.2 Quantum cryptography
3.5.3 Quantum Computing Technology
3.5.4 Quantum programming, software and SDK
3.5.5 Application of quantum computing
3.5.6 Value chain analysis
3.6 Serverless Computing
3.6.1 Serverless computing solution
3.6.2 Serverless computing application
3.6.2.1 Event-driven calculation
3.6.2.2 Live video streaming
3.6.2.3 IoT data processing
3.6.2.4 Shared Delivery Dispatch System
3.6.2.5 Web application and databases
3.6.2.6 Application scalability
3.6.2.7 Sales opportunities and customer experience
3.6.3 Value chain analysis
3.7 Brain-computer interface technology
3.7.1 Presentation of BCI
3.7.2 Invasive vs non-invasive BCI
3.7.3 Partially invasive BCI
3.7.4 RCC Requests
3.7.5 Silicon electronics
3.7.6 Value chain analysis
3.8 Nanoinformatics
3.8.1 Nanotechnology
3.8.2 Nanomaterials
3.8.3 DNA nanoinformatics
3.8.4 Nanocomputing Market
3.8.5 Value chain
3.9 Artificial Intelligence and IoT
3.10 Edge and 5G computing network
3.11 Blockchain and virtualization
3.12 Green Computing
3.13 Cognitive computing

4.0 Business Analysis

5.0 Next Generation Computing Market Analysis and Forecast

6.0 Conclusions and Recommendations

Companies cited

  • 1QB Information Technologies Inc.
  • ABM inc.
  • Advanced Brain Monitoring Inc.
  • Advanced Diamond Technologies Inc.
  • Advanced Micro Devices Inc.
  • Agilent Technologies Inc.
  • Airbus group
  • Alibaba Group Holding Limited
  • Amazon Web Services Inc.
  • Robotics Swarm Apium
  • Atos SE
  • Booz Allen Hamilton Inc.
  • CA Technologies
  • Cambridge Quantum Computing Ltd.
  • Cisco Systems
  • D-Wave Systems Inc.
  • DELL Technologies Inc.
  • emotional
  • Fujitsu Ltd.
  • Gemalto AG
  • Google Inc.
  • Hewlett Packard Enterprise
  • Huawei Technologies Co.Ltd.
  • IBM Corporation
  • intel company
  • Iron.io
  • Juniper Networks Inc.
  • Keysight-Technologies
  • Lockheed Martin Company
  • LunchBadger
  • MagiQ Technologies Inc.
  • Microsoft Corporation
  • Mitsubishi Electric Corp.
  • NEC Corporation
  • Nokia Company
  • NTT Docomo Inc.
  • NVidia
  • Oracle Corporation
  • Qualcomm Inc.
  • Rackspace inc.
  • Raytheon Company
  • Computing Rigetti
  • Robert Bosch GmbH
  • Selling power
  • Samsung Electronics Co.Ltd.
  • SAP SE
  • Schneider Electric SE
  • Serverless Inc.
  • Siemens AG
  • TIBCO Software Inc.
  • Toshiba Company
  • Volkswagen AG
  • water company

For more information about this report visit https://www.researchandmarkets.com/r/ca15jk-generation?w=12

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