Artificial Intelligence (AI) Chipsets Market is segmented By Product Type (Graphics Processing Unit (GPU), Application Specific Integrated Circuit (ASIC), Central Processing Unit (CPU), and Field-Programmable Gate Array (FPGA)), By Technology (Natural Language Processing (NLP), Robotic Process Automation (RPA), Computer Vision, Machine Learning, and Others), By Computing Technology (Edge Computing and Cloud Computing), By Function (Training and Inference) and By Industry Vertical (Media & Advertising, Consumer Electronics, BFSI, IT & Telecom, Retail, Healthcare, Automotive, and Others) and Region (United States, Canada, Mexico, South America, France, Germany, Italy, Spain, United Kingdom, Russia, China, India, Philippines, Malaysia, Australia, Austria, South Korea, Middle East, Japan, South Africa, Rest of World)
Artificial Intelligence (AI) Chipsets Market size was estimated at $7.99 billion in 2020 and is expected to reach $66.82 billion by 2028, growing at a CAGR of 35.44% during the forecast period of 2021 to 2028.
AI chips are customized silicon chips that contain artificial intelligence (AI) technology that is used for machine learning. AI enables the elimination or reduction of danger to human life in a wide variety of industrial verticals. They are purpose-built accelerators for applications involving artificial neural networks (ANNs). The majority of commercial ANN applications are deep learning-based. Artificial neural networks are an area of artificial intelligence. A neural network (ANN) is a machine learning technique influenced by the human brain.
The increasing volume of data necessitates the development of more efficient solutions for solving mathematical and computational issues. As a result, the bulk of the main businesses in the information technology sector have concentrated their efforts on creating AI chips and software.
Since then, deep learning has been hailed as a powerful tool for organizations in need of actionable insights and the ability to respond automatically to massive amounts of unstructured data. The progress and use of machine learning and artificial intelligence are responsible for much of the sophisticated automation seen incorporate AI platforms. Neural networks are algorithms that use a mechanism similar to that of the human brain to detect the underlying structure in data sets.
Mostly during the rise of AI technologies, the expectation was to start making them human-aware, i.e., to construct models with the features of human thought. However, constructing interactive and adaptable machines continues to be a problem for AI machine engineers. Additionally, increased human intervention with AI approaches has created new research hurdles, including interpretation and presentation concerns, such as interaction concerns with automated components and intelligent control of crowdsourced components.
Artificial Intelligence (AI) Chipsets Market Growth and Trend
Over the projected period, rising demand for smart cities and homes is expected to support market growth. AI can catalyze the creation of a variety of smart city initiatives, particularly in poor nations. Innovations and solutions powered by artificial intelligence have the potential to change smart cities and integrated digital households. Additionally, the development of an integrated AI network chip is expected to drive the artificial intelligence chipset market growth.
Additionally, advancements in big data and analytics, the increasing number of AI-enabled applications, the integration of AI with edge computing, the advancement of human-aware AI technologies, and the increasing usage of AI chipset in various end-user industry sectors such as information and communications technology, financial services, and healthcare, all contribute to the artificial intelligence chipset market share.
The expanding significance of artificial intelligence in strengthening customer services and lowering operating costs, the growing number of AI applications, the expanding processing power, and the decreasing cost of hardware all contribute to the worldwide artificial intelligence markets growth. Artificial intelligence chipsets are utilized for a variety of purposes, including quantum computing, fraud protection, risk management, and other applications that demand real-time data. These functionalities are anticipated to fuel the artificial intelligence chipset markets growth throughout the projected period. Apart from this, other secondary drivers of the worldwide artificial intelligence chipset market include the growing use of virtual help devices, improved micro gadgets, medical laser beams, and self-driving automobiles.
Artificial Intelligence (AI) Chipsets Market Segmentation
The Artificial Intelligence (AI) chipsets market is segmented by product type, technology, computing technology, function, and industry vertical. Based on product type, the market consists of Graphics Processing Unit (GPU), Application Specific Integrated Circuit (ASIC), Central Processing Unit (CPU), and Field-Programmable Gate Array (FPGA). By technology, the market is divided into Natural Language Processing (NLP), Robotic Process Automation (RPA), computer vision, machine learning, and others. Based on computer technology, the market is segmented into edge computing and cloud computing. By function, the market is segmented into training and inference. Based on industry vertical, the market is divided into Media & Advertising, Consumer Electronics, BFSI, IT & Telecom, Retail, Healthcare, Automotive, and Others.
Artificial Intelligence (AI) Chipsets Market Country Analysis
The Asia Pacific is predicted to dominate the worldwide market in the next few years, owing to the growth of emerging economies such as South Korea, India, and China. The widespread popularity of AI-based solutions would support the markets healthy expansion in the area. Singapores government established an AI Ethics Advisory Council as part of its AI strategy, which calls for the deployment of AI applications across many industries in 2018. The Asia Pacific market is likely to continue to grow due to the regions robust startup environment. Europe is likely to dominate the worldwide market, given the high concentration of AI software solutions in European nations. The increasing emphasis on research and development, together with the use of AI technologies, will enhance the markets expansion in Europe. The Middle East and Africa are likely to have substantial growth throughout the projection period, thanks to the regions smart city efforts.
Artificial Intelligence (AI) Chipsets Market Share and Competition
The major players operating in the global Artificial Intelligence (AI) chipsets market are Intel Corporation, NVIDIA Corporation, Samsung Electronics Co., Ltd., Alibaba Group Holding Limited, Micron Technology, Inc., Microsoft Corporation, Alphabet, Inc., Qualcomm Technology, Inc., General Vision, Inc., Fujitsu Limited, Amazon Web Services (AWS), and XMOS Limited.
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• Data breakdown for every market segment (2021 – 2028)
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Industry Segmentation and Revenue Breakdown
Product Type Analysis (Revenue, USD Million, 2021 - 2028)
• Graphics Processing Unit (GPU)
• Application Specific Integrated Circuit (ASIC)
• Central Processing Unit (CPU)
• Field-Programmable Gate Array (FPGA)
Technology Analysis (Revenue, USD Million, 2021 - 2028)
• Natural Language Processing (NLP)
• Robotic Process Automation (RPA)
• Computer Vision
• Machine Learning
Computing Technology Analysis (Revenue, USD Million, 2021 - 2028)
• Edge Computing
• Cloud Computing
Function Analysis (Revenue, USD Million, 2021 - 2028)
Industry Vertical Analysis (Revenue, USD Million, 2021 - 2028)
• Media & Advertising
• Consumer Electronics
• IT & Telecom
Region Analysis (Revenue, USD Million, 2021 – 2028)
• North America
o United States
• South America
o United Kingdom
• Asia Pacific
o South Korea
• Middle East
o GCC C ountries
o South Korea
• South Africa
• Rest of World
Artificial Intelligence (AI) Chipsets Market Companies
• Intel Corporation
• NVIDIA Corporation
• Samsung Electronics Co., Ltd.,
• Alibaba Group Holding Limited
• Micron Technology, Inc.,
• Microsoft Corporation
• Alphabet, Inc.,
• Qualcomm Technology, Inc.,
• General Vision, Inc.,
• Fujitsu Limited
• Amazon Web Services (AWS)
• XMOS Limited
• United States Artificial Intelligence (AI) Chipsets Industry Research Report
• Europe Artificial Intelligence (AI) Chipsets Industry Research Report
• Asia Pacific Artificial Intelligence (AI) Chipsets Industry Research Report
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