Next Generation Computing Market Growth Trajectory Through 2024-2033

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The Next Generation Computing Global Market Report 2024 by The Business Research Company provides market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).

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According to The Business Research Company’s Next Generation Computing Global Market Report 2024, The next generation computing market size has grown rapidly in recent years. It will grow from $232.77 billion in 2023 to $277.04 billion in 2024 at a compound annual growth rate (CAGR) of 19.0%. The growth in the historic period can be attributed to consumer electronics evolution, cybersecurity concerns, mobile computing, demand for high-performance computing, networking infrastructure advances..

The next generation computing market size is expected to see rapid growth in the next few years. It will grow to $553.26 billion in 2028 at a compound annual growth rate (CAGR) of 18.9%. The growth in the forecast period can be attributed to increasing complexity of workloads, focus on sustainable computing, government investments in research, human augmentation.. Major trends in the forecast period include ai and machine learning integration, neuromorphic computing, in-memory computing, hybrid cloud and multi-cloud computing, robust data analytics and visualization..

The expansion in the adoption of artificial intelligence is expected to propel the growth of the next-generation computing market going forward. The adoption of artificial intelligence (AI) refers to integrating AI technologies and solutions into various industries, businesses, and applications to enhance decision-making, automate tasks, improve efficiency, and achieve specific objectives. The growing use of AI, especially machine learning and deep learning, demands substantial computational power, driving the development of next-gen technologies like quantum and neuromorphic computing to perform complex AI tasks more efficiently and quickly than traditional computing methods. For instance, in May 2022, according to the International Business Machines Corporation, a US-based technology corporation, the adoption of artificial intelligence in businesses increased to 35% in 2022, up by 4% compared to 2021. Moreover, 13% more organizations will use AI in 2022 compared to 2021. Therefore, the expansion in the adoption of artificial intelligence will drive the growth of the next-generation computing market.

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The next generation computing market covered in this report is segmented –

1) By Type: High Performance Computing, Quantum Computing, Brain Type Computing, Approximate And Probabilistic Computing, Energy Efficiency Computing, Thermodynamic Computing, Memory Based Computing, Optical Computing, Edge Computing, Other Types

2) By Component: Hardware, Software, Solution

3) By Deployment: Cloud, On-Premise

4) By Enterprise Size: Small And Medium-Sized Enterprises (SMEs), Large Enterprises

5) By End-Use Industry: Banking, Financial Services And Insurance (BFSI), Energy and Power, Transportation And Logistics, Chemicals, Academic, Government, Information technology (IT) And Telecommunications, Healthcare, Space And Defense, Manufacturing

Major companies operating in the next-generation computing market are developing innovative technologies, such as integrated hybrids, to address the increasing demand for more powerful, energy-efficient, and versatile computing solutions. Integrated Hybrid is a feature of Azure Quantum that allows researchers to combine classical and quantum computing resources seamlessly. For instance, in March 2023, Microsoft Corporation, a US-based technology corporation, launched the next generation of hybrid quantum computing called Integrated Hybrid. This innovative technology includes a feature of Azure Quantum that allows researchers to combine classical and quantum computing resources seamlessly. This makes it easy to develop and deploy hybrid quantum computing applications. This interface abstracts away the underlying complexity of the different hardware platforms, making it easy for researchers to focus on developing their applications.

The next generation computing market report table of contents includes: