Dublin, Jan. 31, 2023 (GLOBE NEWSWIRE) — The “next-generation computing market: biocomputing, brain-computer interfaces, high-performance computing, nanocomputing, neuromorphic computing, serverless computing, swarm computing, and quantum computing 2023 – 2028 ” report has been added to researchandmarkets.com offering.
This next-generation computing market report assesses next-generation computing technologies, use cases, and applications. Market readiness factors are considered along with the impact of different computational methods on other emerging technologies.
The report provides an analysis of cutting-edge developments such as the integration of the computer with human cognition through biocomputing and brain-computer interfaces. Other pioneering areas covered include harnessing advances in nanotechnology to develop more effective computational models and methods.
The report includes a critical analysis of the main providers and strategies. The report includes the size of the next generation computing market for the period from 2023 to 2028.
Select report results:
Neuromorphic computing market will reach $8.3 billion by 2028
Swarm computing for the military segment will grow at a CAGR of 32.6% globally
Key components of float computing include optimization, clustering, scheduling, and routing
Banking, life sciences and government sectors representing leading HPC verticals through 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
Bioinformatics for molecular medicine and gene therapy will reach $19.1 billion and $12.1 billion respectively by 2028
There are many technologies involved, including distributed computing (swarm computing), computational collaboration (biocomputing), 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 independent in terms of their ability to solve market problems.
Next-generation computing technologies covered in this report include:
More than just a melding of technologies, the next-generation computing market is characterized by many different approaches to solving a myriad of computing challenges. Common factors driving the market include the need for ever increasing computing speed and efficiency, reduced power consumption, miniaturization, evolving architectures and business models.
high performance computing
High Performance Computing (HPC) solves complex computational problems using supercomputers and parallel computational techniques, processing algorithms, and systems. HPC takes advantage of various techniques including computer modeling, simulation, and analysis to solve advanced computing problems and perform research activities while enabling the use of computing resources at the same time.
The commercial introduction of quantum computing is expected to solve and create new problems as previously unsolvable problems are solved. This multiplicity of developments with next-generation computing makes it difficult for the business or government user to make decisions about infrastructure, software, and services.
Biocomputing refers to the construction and use of computers that use biologically derived molecules, including DNA and proteins, to perform computational calculations, such as data storage, retrieval, and processing. The computer system functions more like a living organism or contains biological components.
Neuromorphic computing refers to the implementation of neural systems such as perception, motor control, and multi-sensory integration for large-scale integration systems that combine analog circuitry or digital circuitry or mixed-mode circuitry and software systems.
Neuromorphic computing takes advantage of 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. .
Nanocomputing refers to miniature computing devices (within 100 nanometers) that are used to perform critical tasks such as data representation and manipulation. Nanocomputing is expected to revolutionize the way traditional computing is used in certain key industry verticals, enabling progress in device technology, computer architectures, and integrated circuit processing. This technological area will contribute to substantially progress implantable technologies inserted into the human body, mainly for various healthcare solutions.
Key topics covered:
1.0 Executive Summary
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 supercomputers
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 Education and Research
18.104.22.168 Media and entertainment
22.214.171.124 Electronic Design Automation
126.96.36.199 Biosciences and Health
188.8.131.52 Energy and utility management
184.108.40.206 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 computing
3.2.1 Swarm computing technology
220.127.116.11 Ant colony optimization
18.104.22.168 Particle swarm optimization
22.214.171.124 Stochastic diffusion 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 Neuromorphic computing
3.3.1 Neuromorphic computing technology
3.3.2 Neuromorphic semiconductor
126.96.36.199 Hardware neurons
188.8.131.52 Implanted memory
3.3.3 Neuromorphic application
3.3.4 Explanation of the neuromorphic market
3.3.5 Value chain analysis
3.4.2 Computational biology and drug discovery
3.4.3 Biodata mining and protein simulations
3.4.4 Biocomputing platform and services
3.4.5 Application of biocomputing
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 Quantum computing application
3.5.6 Value chain analysis
3.6 Serverless computing
3.6.1 Serverless computing solution
3.6.2 Serverless computer application
184.108.40.206 Event-driven computing
220.127.116.11 Live video streaming
18.104.22.168 IoT data processing
22.214.171.124 Shared Delivery Dispatch System
126.96.36.199 Web Application 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 BCI Summary
3.7.2 Invasive vs 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 Market for nanocomputing
3.8.5 Value chain
3.9 Artificial intelligence and IoT
3.10 5G and Edge Computer Network
3.11 Blockchain and virtualization
3.12 Green computing
3.13 Cognitive computing
4.0 Company analysis
Next Generation Computing 5.0 Market Analysis and Forecasts
6.0 Conclusions and Recommendations
1QB Information Technology Inc.
Advanced Brain Monitoring Inc.
Advanced Diamond Technologies Inc.
Advanced Micro Devices Inc.
Agilent Technologies Inc.
Alibaba Group Holding Limited
Amazon Web Services Inc.
Apium swarm robotics
Boaz Allen Hamilton Inc.
Cambridge Quantum Computing Ltd.
D-Wave Systems Inc.
DELL Technologies Inc.
Hewlett Packard Company
Huawei Technologies Co.Ltd.
Juniper Networks Inc.
Lockheed Martin Corporation
MagiQ Technologies Inc.
Mitsubishi Electric Corp.
NTT Docomo Inc.
Computer Science Rigetti
Robert Bosch GmbH
Samsung Electronics Co. Ltd.
SE from SAP
Schneider Electric SE
no server inc.
TIBCO Software Inc.
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