This intelligence report provides a comprehensive analysis of the Global Artificial Intelligence Chips Market. This includes Investigation of past progress, ongoing market scenarios, and future prospects. Data True to market on the products, strategies and market share of leading companies of this particular market are mentioned. It’s a 360-degree overview of the global market’s competitive landscape. The report further predicts the size and valuation of the global market during the forecast period.
Definition:
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)
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Market Drivers
- Growing in demand for smart homes & smart cities
- Rise in investments in AI startups
Market Trend
- Emergence of quantum computing
Restraints
- Dearth of skilled workforce
Opportunities
- Rising adoption of AI chips in the developing regions
- Development of smarter robots
Challenges
- 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
Furthermore, the years considered for the study are as follows:
Historical year – 2014-2018
Base year – 2019
Forecast period** – 2019 to 2025 [** unless otherwise stated]
**Moreover, it will also include the opportunities available in micro markets for stakeholders to invest, detailed analysis of competitive landscape and product services of key players.
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The Global Artificial Intelligence Chips segments and Market Data Break Down are illuminated below:
by Type (Graphical Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA), Central Processing Unit (CPU), Others), Application (Machine learning, Natural language processing (NLP), Robotic process automation, Speech recognition, Others), Technology (System-on-chip, System-in-package, Multi-chip module, Others), End User (Media & advertising, BFSI, It & telecom, Retail, Healthcare, Automotive & transportation, Others)
Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa
Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.
Objectives of the Study
- To Define, Describe, and Segment The Global Artificial Intelligence Chips Market On The Basis Of Type, Function, Application, And Region.
- To provide detailed information regarding the major factors influencing the market growth (drivers, restraints, opportunities, and industry-specific challenges)
- To estimate the size of the Global Artificial Intelligence Chips Market in terms of value.
- To study the individual growth trends of the providers of Global Artificial Intelligence Chips Market, their future expansions, and analyze their contributions to the market
- To strategically analyze micro-markets with respect to individual growth trends, future prospects, and contribution to the total market, covered by Global Artificial Intelligence Chips Market and various regions.
- To track and analyze competitive developments such as joint ventures, mergers & acquisitions, and new product launches, in Global Artificial Intelligence Chips Market.
- To strategically profile key market players and comprehensively analyze their market position and core competencies
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Strategic Points Covered in Table of Content of Global Artificial Intelligence Chips Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Artificial Intelligence Chips market
Chapter 2: Exclusive Summary – the basic information of the Artificial Intelligence Chips Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges of the Artificial Intelligence Chips
Chapter 4: Presenting the Artificial Intelligence Chips Market Factor Analysis Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying the by Type, End User and Region 2013-2018
Chapter 6: Evaluating the leading manufacturers of the Artificial Intelligence Chips market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by manufacturers with revenue share and sales by key countries in these various regions.
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
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Key questions answered
- Who are the Leading key players and what are their Key Business plans in the Global Artificial Intelligence Chips market?
- What are the key concerns of the five forces analysis of the Global Artificial Intelligence Chips market?
- What are different prospects and threats faced by the dealers in the Global Artificial Intelligence Chips market?
- What are the strengths and weaknesses of the key vendors?
Definitively, this report will give you an unmistakable perspective on every single reality of the market without a need to allude to some other research report or an information source. Our report will give all of you the realities about the past, present, and eventual fate of the concerned Market.
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