Press release
Artificial Intelligence (AI) Supercomputer Market Insights 2024: Powering AI Research
Artificial Intelligence (AI) Supercomputer
The Business Research Company presents an extensive market research report on the Artificial Intelligence (AI) Supercomputer Global Market Report 2024, furnishing businesses with a competitive edge through a detailed examination of the market structure, encompassing estimates for various segments and sub-segments.
Furthermore, the report highlights on emerging trends, significant drivers, challenges, and opportunities, providing all necessary data for thriving in the industry. This report market research offers a comprehensive perspective, including an in-depth analysis of the present and future scenarios within the industry.
Market Sizing:
The artificial intelligence (AI) supercomputer market size has grown exponentially in recent years. It will grow from $1.63 billion in 2023 to $1.98 billion in 2024 at a compound annual growth rate (CAGR) of 21.6%. The growth in the historic period can be attributed to increased adoption of AI in various industries, rise of autonomous vehicles and robotics, rising cloud computing and edge computing, government initiatives, growing big data.
The artificial intelligence (AI) supercomputer market size is expected to see exponential growth in the next few years. It will grow to $4.23 billion in 2028 at a compound annual growth rate (CAGR) of 20.9%. The growth in the forecast period can be attributed to continued advancements in AI algorithms and models, rise of quantum computing, rapid growth of data centers, growing edge computing and IoT integrations, global investment in AI infrastructure. Major trends in the forecast period include AI-powered predictive analytics, cross-platform integration, expansion of IoT ecosystems and data monetization, demand for hybrid and multi-cloud deployments, vertical-specific analytics solutions.
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Key Market Players:
Major companies operating in the artificial intelligence (ai) supercomputer market report are Google LLC, Meta Platforms Inc., Dell Technologies Inc., Hitachi Ltd., Huawei Technologies Co. Ltd., Amazon Web Services Inc., Intel Corporation, IBM Corporation, Samsung Electronics Co. Ltd., Oracle Corporation, Fujitsu Limited, Micron Technology Inc., Hewlett Packard Enterprise, Nvidia Corporation, Advanced Micro Devices Inc., MediaTek Inc., Arm Ltd., Kneron Inc., Silicon Graphics International, Cerebras Systems Inc., SambaNova Systems Inc., Kalray SA, PEZY Computing, Graphcore Inc., Groq Inc.
Market Drivers:
The rapid adoption of artificial intelligence (AI) applications across various industries is expected to propel the growth of the artificial intelligence (AI) supercomputer market going forward. Artificial intelligence (AI) applications refer to the various ways in which AI technologies are utilized to perform tasks that typically require human intelligence. The companies are increasingly adopting AI to stay ahead of the competition and offer innovative solutions to their customers. AI algorithms optimize supercomputing operations by dynamically adjusting parameters, such as resource allocation, power management, and scheduling, based on workload and system conditions, thereby enhancing efficiency and maximizing performance. For instance, in May 2023, according to a report published by Stepsize AI, a UK-based technology company, AI adoption is expected to be prevalent, with 70% of software teams incorporating AI into its workflows. Further, among businesses, 55% have already embraced AI, and an additional 15% are planning to adopt AI by 2024. Therefore, the rapid adoption of artificial intelligence (AI) applications is driving the growth of the artificial intelligence (AI) supercomputer market.
Learn More About The Market Report -
https://www.thebusinessresearchcompany.com/report/artificial-intelligence-ai-supercomputer-global-market-report
The artificial intelligence (ai) supercomputer market covered in this report is segmented -
1) By Component: Processors Or Computer, Storage, Memory, Interconnects
2) By Deployement: Cloud, On-Premises
3) By Application: Government, Academia And Research, Commercial, Generative Artifical Intelligence, Computer Vision, Drug Discovery, Other Applications
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