by The next generation computing market comprises supercomputers, edge computing devices, quantum computing, and cloud-based technologies that address the limitations of conventional computing. Products in this market leverage technologies such as quantum bits, neuromorphic computing, and photonic integrated circuits to enhance compute power and solve complex problems exponentially faster than traditional computers.
The Global Next Generation Computing Market is estimated to be valued at US$ 168.57 Bn in 2024 and is expected to exhibit a CAGR of 19% over the forecast period 2024 to 2031.
Key Takeaways
Key players operating in the Next Generation Computing Market are Amazon Web Services (AWS), Alphabet Inc. (Google), AMD (Advanced Micro Devices, Inc.), Apple Inc., IBM Corporation, Intel Corporation, Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, Qualcomm Incorporated, Samsung Electronics Co., Ltd., SAP SE, Supermicro Computer, Inc., Tencent Holdings Limited, and Texas Instruments Incorporated. Key players are investing heavily in R&D to develop new products leveraging quantum and neuromorphic computing technologies.
The Next Generation Computing Market Size for high performance computing from industries such as aerospace, automotive, healthcare, BFSI, and government has boosted investments in next generation systems. Quantum computers in particular are finding new applications in materials research, drug discovery, andMachine Learning.
Several technology giants are collaborating to develop universal quantum computing systems and build quantum components globally. For instance, Amazon Braket provides cloud access to quantum computing hardware and simulators. Investments in quantum hardware startups have increased exponentially over the last few years as the commercialization of these technologies gathers pace.
Market key Trends
One of the Next Generation Computing Market Size And Trends is the increasing focus on neuromorphic computing systems. Neuromorphic chips mimic the human brain structure using electronic circuits and transistors. Companies like Intel and IBM are developing low-power neuromorphic processors for AI applications like pattern recognition and big data analytics. Neuromorphic chips can perform tasks much more efficiently while using less energy compared to traditional systems. This makes them well-suited for edge computing devices used in robotics, IoT, and autonomous vehicles.
Porter’s Analysis
Threat of new entrants: Low barrier to entry in software and services segment may attract new players but high R&D cost and dominance of incumbent players in hardware and semiconductor segment pose risk of new entrants.
Bargaining power of buyers: Buyers have moderate bargaining power due to availability of substitute offerings and negotiation ability on price and contracts especially for larger volume deals.
Bargaining power of suppliers: Suppliers have moderate to high bargaining power as many hardware components have limited substitutes and suppliers can influence prices.
Threat of new substitutes: Emerging technologies like AI, blockchain provide some substitution threat especially for certainworkload however complete substitution of next gen computing is difficult in short term.
Competitive rivalry: Intense competition amongst major players worldwide to be technology and market leader.
Geographical regions
North America captured the largest market share in 2024 due to heavy investments by major players in the US for next generation computing technology development. The region is expected to continue its dominance during the forecast period.
The Asia Pacific region is expected to grow at the fastest CAGR during the forecast period owing to rapid infrastructure development and initiatives by governments in countries like China and India towards adoption of advanced technologies. Countries in the region offer manufacturing and development capabilities to global players expediting next gen computing development.
*Note:
1.Source: Coherent Market Insights, Public sources, Desk research
2.We have leveraged AI tools to mine information and compile it
About Author - Ravina Pandya
Ravina Pandya, Content Writer, has a strong foothold in the market research industry. She specializes in writing well-researched articles from different industries, including food and beverages, information and technology, healthcare, chemical and materials, etc. With an MBA in E-commerce, she has an expertise in SEO-optimized content that resonates with industry professionals. LinkedIn Profile
