Global Artificial Intelligence Chips Market Overview:
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. Some of the key players profiled in the study are 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).
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 2018. If we see Market by Technology, the sub-segment i.e. System-on-chip will boost the Artificial Intelligence Chips market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by End User, the sub-segment i.e. Media & advertising will boost the Artificial Intelligence Chips market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.
- Growing in demand for smart homes & smart cities
- Rise in investments in AI startups
- Emergence of quantum computing
- Dearth of skilled workforce
- Rising adoption of AI chips in the developing regions
- Development of smarter robots
- High cost associated with the raw materials required for the manufacturing of artificial intelligence chips
Major Market Developments:
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.”
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
AI chip manufacturers, AI chip supplier, AI chip research firm, Government bodies, Electronic manufacturing industry, Trade associations and Standard certification bodies
Major Objectives Focused through this Study
To define, describe, and forecast the Global Artificial Intelligence Chips market on the basis of product [Graphical Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA), Central Processing Unit (CPU) and others] , application [Machine learning, Natural language processing (NLP), Robotic process automation, Speech recognition and Others], key regions and end user
To provide in-depth information regarding major influencing factors affecting the growth of the market (trends, drivers, restraints, opportunities, and industry-centric and regional challenges)
To strategically analyse the micro-markets and important business segments with respect to individual growth drivers , market trends and potential, and historical contributions to the total market
Identifying the opportunities in the market for key stakeholders and detailing the competitive landscape for market leaders
To provide market size for various segments of the Artificial Intelligence Chips market with respect to major geographies, namely, 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)
To strategically profile the key players and analyzing their market shares and core competencies in the Artificial Intelligence Chips industry
To track key developments such as product launches, expansions, agreements, partnerships, mergers & acquisitions, and R&D activities that are key factors in shaping the market
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**. Additionally, the Players which are also part of the research are .
** Confirmation on availability of data would be informed prior purchase
While framing the research framework, major and emerging players operating in the Artificial Intelligence Chips market in various regions have been profiled, and their offerings, geographic footprints, and distribution/sales channels have been analysed through in-depth discussions. Top-down and bottom-up approaches have been used to determine the overall market size. Sizes of the other individual markets have been estimated using the percentage splits obtained through secondary sources such as Hoovers, Bloomberg BusinessWeek, and Dow Jones (Factiva), along with primary respondents. The complete methodology includes the study of the annual and financial reports of the key market players and extensive interviews with industry experts such as CEOs, VPs, directors, and marketing executives for key insights (both qualitative and quantitative) related to the market.