Artificial Intelligence Chips Market Scope
AI chip is refer as the chip which is designed to do a particular AI tasks in more efficient way. Artificial intelligence (AI) chips are the specialized Silicon chips, which incorporate the technology of AI and are also used for machine learning. AI helps in eliminating or minimising the risk to human life in many of the industry verticals. The need for more efficient systems to solve mathematical and computational problems has been becoming crucial, as the volume of data has been increasing. Thus, the majority of the key players in the IT industry have focused on developing AI chips and applications.
Google is the best example, where the company has designed an ASIC or application-specific integrated circuit, which is specifically used in deep neural nets, an AI technology that would revolutionize internet services. It is a network of hardware and software that is capable of learning specific tasks by analyzing vast data sets. Despite being a powerful technology, ASIC can only perform one function really well. Channing functions in ASIC would mean, redesigning another chip Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global Artificial Intelligence Chips market throughout the predicted period.
AMD (Advanced Micro Devices) (United States), Google, Inc. (United States), Intel Corporation (United States), NVIDIA (United States), Baidu (China), Graphcore (United Kingdom), Qualcomm (United States), Adapteva (United States), UC-Davis (United States) and Mythic (United States) are some of the key players that are part of study coverage.
Segmentation Overview
The study have segmented the market of Global Artificial Intelligence Chips market by Type (Graphical Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA), Central Processing Unit (CPU) and others), by Application (Machine learning, Natural language processing (NLP), Robotic process automation, Speech recognition and Others) and Region with country level break-up.
On the basis of geography, the market of Artificial Intelligence Chips has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). North America region held largest market share in the year 2022.
Influencing Trend:
Emergence of quantum computing
Market Growth Drivers:
Growing in demand for smart homes & smart cities and Rise in investments in AI startups
Challenges:
High cost associated with the raw materials required for the manufacturing of artificial intelligence chips
Restraints:
Dearth of skilled workforce
Opportunities:
Rising adoption of AI chips in the developing regions and Development of smarter robots
Market Leaders and their Expansionary Development Strategies
Intel Corp. is bulking up its programmable chips team by acquiring eASIC, a 19-year-old fabless semiconductor company headquartered down the street. The acquisition of eASIC's chip sets and talent base will help drive business in 5G and the Internet of Things
Google unveils tiny new AI chips for on-device machine learning. The company is moving its AI expertise down from the cloud, and has taken the wraps off its new Edge TPU, a tiny AI accelerator that will carry out machine learning jobs in IoT devices. The Edge TPU is designed to do what’s known as “inference.”
Key Target Audience
AI chip manufacturers, AI chip supplier, AI chip research firm, Government bodies, Electronic manufacturing industry, Trade associations and Standard certification bodies
About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from the total available market.