DUBLIN, Jan. 31, 2023 (GLOBE NEWSWIRE) — “Next Generation Computing Markets: Biocomputing, Brain Computer Interfaces, High Performance Computing, Nanocomputing, Neuromorphic Computing, Serverless Computing, Swarm Computing, Quantum Computing 2023 – 2028” report added of ResearchAndMarkets.com Recruitment.
This next-generation computing market report evaluates next-generation computing technologies, use cases, and applications. Market readiness factors are considered along with the impact of different calculation methods on other emerging technologies.
This report provides an analysis of cutting-edge developments such as biocomputing and the integration of human cognitive functions with computers via brain-computer interfaces. Other pioneering areas of interest include leveraging nanotechnology developments to develop more effective computing models and methods.
This report contains significant analysis of leading vendors and strategies. This report includes the next-generation computing market size for the period 2023-2028.
Select the report findings.
Neuromorphic Computing Market to Reach $8.3 Billion by 2028
Swarm Computing in Military Segment to Grow at 32.6% CAGR Globally
Key components of swam computing include optimization, clustering, scheduling, and routing
Banking, bioscience and government sectors representing key HPC verticals by 2028
Brain-computer interface technology for disability repair/support will reach $1.7 billion by 2028
Brain Computer Interface Solutions in Functional Magnetic Resonance Imaging to Reach $426 Million by 2028
Biocomputing in molecular medicine and gene therapy will reach $19.1 billion and $12.1 billion respectively by 2028
Many technologies are involved, including distributed computing (swarm computing), computing collaboration (biocomputing), increasing the performance of existing supercomputers, and entirely new computer architectures such as those associated with quantum computing. Each of these approaches has its own strengths and weaknesses. Many of these different computing architectures and methods are independent in their ability to solve market problems.
Next-generation computing technologies covered in this report include:
More than just a convergence of technologies, the next-generation computing market is characterized by different approaches to solving high-volume computing challenges. Common factors driving the market include the need for increased computing speed and efficiency, reduced energy consumption, miniaturization, and evolving architectures and business models.
high performance computing
High Performance Computing (HPC) uses supercomputers and parallel computing techniques, processing algorithms and systems to solve complex computational problems. HPC leverages a variety of techniques, such as computer modeling, simulation, and analysis, to solve highly computational problems and perform research activities while simultaneously enabling the use of computing resources.
The commercial deployment of quantum computing is expected to solve previously unsolvable problems and create new problems at the same time. The diversity of next-generation computing developments is making it difficult for enterprise and government users to make decisions about infrastructure, software, and services.
Biocomputing refers to the construction and use of computers that use biologically derived molecules such as DNA and proteins to perform computations such as storing, retrieving, and processing data. Computing systems function like living organisms or contain biological components.
Neuromorphic computing is the implementation of neural systems such as perception, motor control, and multisensory integration for very large integrated systems that combine analog or digital or mixed-mode circuits with software systems. point.
Neuromorphic computing uses neuromorphic engineering techniques inspired by biology, physics, mathematics, computer science, and electronics to create vision systems, head-eye systems, auditory processors, autonomous robots, and more. Develop an artificial neural system for
Nanocomputing refers to small computing devices (within 100 nanometers) used to perform critical tasks such as representing and manipulating data. Nanocomputing is expected to revolutionize the way traditional computing is used in certain key industrial sectors, enabling advances in device technology, computer architecture, and IC processing. This field of technology will help significantly advance implantable technology that is inserted into the human body, primarily for various healthcare solutions.
3.0 Technology and Application Analysis
3.1 High Performance Computing
3.1.1 HPC technology
3.1.2 Exascale calculation
22.214.171.124 Development of exascale supercomputer
126.96.36.199.1 United States
3.1.4 High Performance Technical Computing
3.1.5 Market segmentation considerations
3.1.6 Use cases and application areas
188.8.131.52 Computer-aided engineering
184.108.40.206 Financial services
220.127.116.11 Teaching and research
18.104.22.168 Media and Entertainment
22.214.171.124 Electronic design automation
126.96.36.199 Bioscience and Healthcare
188.8.131.52 Energy management and utilities
184.108.40.206 Earth Science
3.1.7 Regulatory framework
3.1.8 Value chain analysis
3.1.9 AI Driving HPC Performance and Adoption
3.2 Swarm Computing
3.2.1 Swarm computing technology
220.127.116.11 Optimization of ant colonies
18.104.22.168 Particle swarm optimization
22.214.171.124 Stochastic Diffusion Search
3.2.2 Swarm Intelligence
3.2.3 Swarm Computing Features
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 semiconductors
126.96.36.199 Hardware Neuron
188.8.131.52 Embedded memory
3.3.3 Neuromorphic applications
3.3.4 Neuromorphic Market Description
3.3.5 Value chain analysis
3.4.2 Computational biology and drug discovery
3.4.3 Biodata mining and protein simulation
3.4.4 Biocomputing Platforms and Services
3.4.5 Applications of biocomputing
3.4.6 Biocomputing Products
3.4.7 Value Chain Analysis
3.5 Quantum computing
3.5.1 Quantum simulation, sensing and communication
3.5.2 Quantum cryptography
3.5.3 Quantum computing technology
3.5.4 Quantum programming, software and SDKs
3.5.5 Applications of quantum computing
3.5.6 Value chain analysis
3.6 Serverless Computing
3.6.1 Serverless Computing Solution
3.6.2 Serverless Computing Applications
184.108.40.206 Event Driven Computing
220.127.116.11 Live Video Broadcast
18.104.22.168 Processing of IoT data
22.214.171.124 Joint delivery delivery system
126.96.36.199 Web Applications and Bakends
188.8.131.52 Application Scalability
184.108.40.206 Sales Opportunities and Customer Experience
3.6.3 Value chain analysis
3.7 Brain computer interface technology
3.7.1 Overview of BCI
3.7.2 Invasive and non-invasive BCI
3.7.3 Partially Invasive BCI
3.7.4 BCI Applications
3.7.5 Silicon electronics
3.7.6 Value Chain Analysis
3.8.3 DNA nanocomputing
3.8.4 Nanocomputing Market
3.8.5 Value Chain
3.9 Artificial intelligence and IoT
3.10 Edge Computing Networks and 5G
3.11 Blockchain and virtualization
3.12 Green Computing
3.13 Cognitive Computing
4.0 Company Analysis
5.0 Next Generation Computing Market Analysis and Forecast
6.0 Conclusions and Recommendations
1QB Information Technologies Co., Ltd.
ABM Co., Ltd.
Advanced Brain Monitoring Co., Ltd.
Advanced Diamond Technologies Co., Ltd.
Advanced Micro Devices Co., Ltd.
Agilent Technologies, Inc.
Alibaba Group Holding Limited
Amazon Web Services, Inc.
Appium Swarm Robotics
Booz Allen Hamilton Company
Cambridge Quantum Computing Ltd.
D-Wave Systems Co., Ltd.
Dell Technologies, Inc.
Hewlett Packard Enterprise
Huawei Technologies Co., Ltd.
Juniper Networks, Inc.
Lockheed Martin Corporation
Magic Technologies Inc.
Mitsubishi Electric Corporation
NTT DOCOMO, INC.
Rack Space Co., Ltd.
Robert Bosch GmbH
Samsung Electronics Co., Ltd.
Schneider Electric SE
TIBCO Software Co., Ltd.
For more information on this report, please visit https://www.researchandmarkets.com/r/ca15jk-generation?w=12.
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