Market Highlights:
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. The market study is being classified 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 major geographies with country level break-up that includes 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).

Key Players:
The prominent players in the Artificial Intelligence Chips 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).

Major Market Development Highlights
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 Questions Answered in the Report
What will the Artificial Intelligence Chips Market size and the growth rate be in Future?
What are the key factors driving the Artificial Intelligence Chips Market?
What are the key market trends and macro-economic impacting the growth of the Artificial Intelligence Chips Market?
What are the challenges to market growth?
Who are the key vendors in the Artificial Intelligence Chips Market?
What are the market opportunities and threats faced by the vendors in the Artificial Intelligence Chips Market?
Trending factors influencing the market shares of the Players.
What are the key outcomes of the five forces analysis of the Artificial Intelligence Chips Market?

Refer complete Table of Content of Artificial Intelligence Chips Market Study

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Artificial Intelligence Chips market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Artificial Intelligence Chips market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes AI chip manufacturers, AI chip supplier, AI chip research firm, Government bodies, Electronic manufacturing industry, Trade associations and Standard certification bodies.
This helps us to gather the data for the players’ revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, Annual reports, press releases etc.