Artificial Intelligence Chipset Market
The global Artificial Intelligence Chipset market is estimated to reach over USD 128.32 billion by 2031, exhibiting a CAGR of 27.6% during the forecast period.
Artificial intelligence (AI) chipsets are silicon-based chipsets that incorporate AI technology and offer powerful computational power to connected devices like laptops, smart wearables, and smartphones, among others. The operating efficiency and user experience of the gadget are improved by AI chips’ greater analytical skills, virtual reality, and augmented reality. The worldwide AI chip market is also expected to rise significantly due to the development of quantum computing and the surge in the use of AI chips in robotics.
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Additionally, it is projected that the development of autonomous robotics-robots that create and manage themselves autonomously-will present market expansion prospects. One of the main market constraints, nevertheless, is the lack of skilled labour. The majority of jobs, including testing, bug fixing, cloud deployment, and others, are now handled by AI chips; nevertheless, the delivery of these tasks lacks necessary skill sets, which will have a big impact on the market in the years to come.
List of Prominent Players in the Artificial Intelligence Chipset Market:
• Advanced Micro Devices, Inc. (AMD)
• Alibaba Group Holding Limited
• Alphabet Inc. (Google LLC)
• Amazon Web Services (AWS)
• Fujitsu Limited
• General Vision, Inc.
• Graphcore Limited
• GreenWaves Technologies
• Huawei Technologies Co., Ltd.
• Intel Corporation
• International Business Machines Corporation (IBM)
• Kalray Corporation
• Kneron
• Koniku Inc
• MediaTek Inc.
• Micron Technology, Inc.
• Microsoft Corporation
• Mythic Inc.
• NVIDIA Corporation
• Qualcomm Technologies, Inc.
• SambaNova Systems Inc
• Samsung Electronics Co., Ltd.
• Tenstorrent Inc.
• Wave Computing, Inc.
• Xilinx, Inc.
• XMOS Limited
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Market Dynamics:
Drivers-
The tremendous growth in data volume brought on by the increasing use of social media and e-commerce has boosted the demand for high-speed processors. The need for the chips, which facilitate quicker data processing, is also being driven by the growing adoption of machine learning across a variety of industries such as healthcare, automotive, transportation, and finance to simplify their operations. Increasing smartphone usage in both developed and developing countries is anticipated to fuel market expansion throughout the forecast period.
Challenges:
The epidemic has had a negative effect on the market and will likely continue to do so in the years to come. This is linked to the affected production processes, supply chains, and emerging industries’ limited adoption of AI. The lockdown requirements caused a number of industrial companies to halt their output, which negatively impacted the supply chain system globally. The manufacturing sector’s production in 2020 decreased by 11.1% in July, according to data from the Index of Industrial Production (IIP), as the COVID-19 lockout slowed down the manufacturing process. The deployment of hardware and software based on AI has been delayed as a result of this pandemic.
Regional Trends:
The region with the fastest rate of growth is Asia Pacific in the anticipated time frame. The expansion of this industry is fueled by the region’s developing economies, like South Korea, India, and others, which have strong startup ecosystems and an expanding pool of skilled labour. A council on AI ethics has also been established by the Singaporean government as part of the country’s AI strategy, which calls for the deployment of AI applications across multiple industries in 2018. Due to the presence of a sizable number of AI solution providers, Europe is predicted to experience rapid growth.
Recent Developments:
• In August 2020, Kneron introduced the KL 720 SoC, a cutting-edge chipset-based AI. The chipset’s SoC, which uses Arm Cortex M4 as its primary control processor, can deliver 1.5 TOPS of performance.
• In February 2022, A USD 56 million Series A investment was disclosed by Celestial AI, an AI accelerator firm with a unique hardware and software architecture for machine learning chipsets. The additional funding will go towards product development and strategic supplier relationships, including those with Broadcom.
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Segmentation of Artificial Intelligence Chipset Market-
By Technology
• Machine Learning
• Natural Language Processing
• Context-Aware Computing
• Computer Vision
• Predictive Analysis
By Function
• Training
• Inference
By Hardware
• Processor
• Memory
• Network
By End-User
• Healthcare
• Manufacturing
• Automotive
• Agriculture
• Retail
• Cybersecurity
• Human Resources
• Marketing
• Law
• Fintech
• Government
By Region-
North America-
• The US
• Canada
• Mexico
Europe-
• Germany
• The UK
• France
• Italy
• Spain
• Rest of Europe
Asia-Pacific-
• China
• Japan
• India
• South Korea
• Southeast Asia
• Rest of Asia Pacific
Latin America-
• Brazil
• Argentina
• Rest of Latin America
Middle East & Africa-
• GCC Countries
• South Africa
• Rest of Middle East and Africa
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This release was published on openPR.
