DUBLIN, Jan. 31, 2023 (GLOBE NEWSWIRE) — The Next Generation Computing Market: Biocomputing, Brain-Computer Interfaces, High Performance Computing, Nanocomputing, Neural Computing, Serverless Computing, Swarm Computing, and Quantum Computing 2023 – 2028 The report has been added to ResearchAndMarkets.com an offer.
The Next Generation Computing market report evaluates next generation computing technologies, use cases, and applications. Market readiness factors are taken into account along with the impact of different algorithmic approaches on other emerging technologies.
The report provides analysis of groundbreaking developments such as computer integration with human cognition via biocomputing and brain-computer interfaces. Other leading areas covered include leveraging advances in nanotechnology to develop more efficient computing models and methods.
The report includes a critical analysis of the leading suppliers and strategies. The report includes the next generation computing market sizing for the period from 2023 to 2028.
Select the results report:
The neurocomputing market will reach $8.3 billion by 2028
Swarm computing for the military sector will grow at a compound annual growth rate of 32.6% globally
The main components of swimming computing include optimization, aggregation, scheduling, and routing
Banking, biosciences and government sectors representing the leading HPC sectors until 2028
Brain computer interface technology for disability repair/support will reach $1.7 billion by 2028
Brain computer interface solutions in fMRI will reach $426 million by 2028
Biocomputing for molecular medicine and gene therapy will reach $19.1 and $12.1 billion, respectively, by 2028
There are many technologies involved, including distributed computing (collective computing), computational collaboration (biocomputing), performance improvements of existing supercomputers, and completely new computer architectures such as those associated with quantum computing. Each of these methods has its advantages and disadvantages. Many different computing architectures and approaches stand alone in their ability to solve market problems.
The next generation computing technologies covered in this report include:
More than just an amalgamation of technologies, the next-generation computing market features many different approaches to solving a large number of computational challenges. Common factors driving the market include the need to continuously increase compute speed and efficiency, reduce power consumption, miniaturization, and evolving architectures and business models.
high performance computing
High-performance computing (HPC) solves complex computational problems using supercomputers, parallel computing technologies, and processing algorithms and systems. HPC uses various techniques including computer modeling, simulation, and analysis to solve advanced computational problems and perform research activities while allowing for the concurrent use of computing resources.
The commercial introduction of quantum computing is expected to solve and create new problems as previously unsolvable problems will be solved. This multiplicity of developments with next-generation computing makes it difficult for an enterprise user or government to make decisions about infrastructure, software, and services.
Biocomputing refers to the construction and use of computers using biologically derived molecules including DNA and proteins to perform computational operations such as data storage, retrieval, and processing. A computing system functions like a living organism or contains biological components.
Neurocomputing refers to the implementation of neural systems such as perception, motor control, and multisensory integration of very large-scale integration systems that combine analog circuits, digital circuits, or mixed-mode circuits and software systems.
Neural computing leverages neural engineering techniques that draw inspiration from biology, physics, mathematics, computer science, and electronic engineering to develop artificial neural systems including vision systems, eye systems, auditory processors, and autonomous robots.
Nanocomputing refers to miniaturized computing devices (on the order of 100 nanometers) that are used to perform critical tasks such as data representation and processing. Nanocomputing is expected to revolutionize the way traditional computing is used in certain key industrial sectors, allowing for advances in hardware technology, computer architectures, and IC processing. This technology field will help to make significant progress in implantable technologies that are inserted into the human body, mainly for various healthcare solutions.
Main topics covered:
1.0 Executive Summary
3.0 Analysis of Technology and Applications
3.1 High Performance Computing
3.1.1 HPC Technology
3.1.2 Exascale calculation
188.8.131.52 Development of exascale supercomputers
184.108.40.206.1 United States
3.1.4 High Performance Technical Computing
3.1.5 Market Segmentation Considerations
3.1.6 Use Cases and Application Areas
220.127.116.11 Computer Aided Engineering
18.104.22.168 Financial Services
22.214.171.124 Education and Research
126.96.36.199 Media and Entertainment
188.8.131.52 Electronic Design Automation
184.108.40.206 Biosciences and Healthcare
220.127.116.11 Energy and Utilities Management
18.104.22.168 Earth Sciences
3.1.7 Regulatory Framework
3.1.8 Value Chain Analysis
3.1.9 Artificial Intelligence to Drive HPC Performance and Adoption
3.2 Swarm computing
3.2.1 Swarm computing technology
22.214.171.124 Ant colony improvement
126.96.36.199 Improvement of particle swarm
188.8.131.52 Randomization search
3.2.2 Swarm intelligence
3.2.3 Swarm computing capabilities
3.2.4 Value Chain Analysis
3.2.5 Regulatory Framework
3.3 Neural Computing
3.3.1 Neural computing technology
3.3.2 Neuronal semiconductors
184.108.40.206 Organ neurons
220.127.116.11 Implanted memory
3.3.3 Neuro app
3.3.4 Neuromorphic Market Explained
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 Critical Computing Platform and Services
3.4.5 Biocomputing Application
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 Encryption
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
18.104.22.168 Event Driven Computing
22.214.171.124 Live Video Broadcasting
126.96.36.199 IoT data processing
188.8.131.52 Common Transmission System
184.108.40.206 Web Application and Bakends
220.127.116.11 Extensibility of the Application
18.104.22.168 Sales Opportunities and Customer Experience
3.6.3 Value Chain Analysis
3.7 brain computer interface technology
3.7.1 BCI Overview
3.7.2 Invasive versus non-invasive BCI
3.7.3 BCI is partially invasive
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 the Internet of Things
10.3 Advanced Computing Network and Fifth Generation
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 Inc.
Advanced Brain Monitoring Inc.
Advanced Diamond Technologies Inc.
Advanced Micro Devices Inc.
Agilent Technologies Inc.
Alibaba Group Holding Co., Ltd
Amazon Web Services Inc.
Apium Swarm bots
Booz Allen Hamilton Inc.
Cambridge Quantum Computing Ltd.
D-Wave Systems Inc.
DELL Technologies Inc.
Huawei Technologies Co., Ltd
Juniper Networks Inc
MagiQ Technologies Inc.
Mitsubishi Electric Corp.
NTT Docomo Inc.
Robert Bosch GmbH
Samsung Electronics Co., Ltd.
Schneider Electric SE
TEPCO Software Corporation
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