According to a new report published by Reports Monitor titled, “Global artificial intelligence chip, Growth Opportunities, Innovations and Forecast, 2018-2025,” the artificial intelligence chip market is projected to grow rapidly from 2018 to 2025.
Artificial intelligence is progressive technology of computer science with similar characteristicsas human intelligence such as rezoning, learning, language understanding, profile solving and others. Developments in creating human-like robots and increase in rate of deployments in the developing countries transformed the overall market growth.
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U.S countryobserved significant growth in tech start-ups every year, backed by different venture capitals and venturecapitalists, thus raisingthe market scope. Further, the latest trend to integrate AIand video surveillance, paired with the rise in government spending for cyber security solutions that are integrated with real-time analytics and AI, is anticipated to boost the market.
This report provides a detailed analysis of artificial intelligence chip, which includes current industry situations such as market size, growth and demands, market outlook, major players with their key strategies.It covers the market canvas and the growth opportunities in the coming years. The report has been made with an in-depth analysis along with important inputs from the various industry experts. The research is carried out with both extensive primary and secondary data sources supported with either bottom up or top down approach.
View Full Report Description with TOC: https://goo.gl/sFmwDa
The global artificial intelligence chip major market has been segmentedbased on chip type, industrial vehicle, technology and applications. Based on chip type the global artificial intelligence chip market is bifurcated into GPU, ASIC, FPGA and CPU while based on industrial vehicle it is segmented into media and advertising, BFSI, IT and telecom, retail, healthcare, automotive and transportation. Based on technology it is divided into system-on-chi, system-in-package and multi-chip module. Based on application the global artificial intelligence chip market is classified into predictive, maintenance, image recognition, contract analytics.
The global artificial intelligence chip market is majorly studied across: North America, Europe, Asia Pacific and LAMEA (Latin America, Middle East and Africa). North America and Europe due to growing technological advancements and, increased adoption by the public are expected to command significant market share. While economical improvements in developing countries are expected to create further growth opportunities for the AI chip market players.
The major key players operating in the market are: AMD (Advanced Micro Devices), Intel Corporation, Adapteva, NVIDIA, Baidu,Google Inc., Graphcore, Qualcomm, UC-Davis, Mythic, and others.
The report has been categorized in two distinctive sections, where the first category titled as Market Overview provides a holistic view of the market, key trends, drivers, challenges/restraints or opportunities with their current and expected impact on the overall industry sales.
Our analyst implement, several qualitative tools to interpret and represent key industry findings.
The second section of the study provides market size, estimates and forecast for key market segments and regional market. The final part of the report highlights key manufacturers/vendors operating in the associated market.
Some Points from TOC:
1.1. Market Definition
1.2. Market Scope
2. Research Methodology
2.1. Primary Research
2.2. Secondary Sources
2.3. Assumptions & Exclusions
3. Market Overview
3.1. Research Report Segmentation & Scope
3.2. Artificial Intelligence Chip- Value Chain Analysis
3.3. Key Market Trend Analysis
3.3.1. Market Drivers
3.3.2. Market Restraint/Challenges
3.3.3. Market Opportunities
3.4. Porter’s Five Forces Analysis
3.5. Potential Venture Avenues
3.6. Market Share Analysis, 2016
3.7. Market Overview – Artificial Intelligence Chip, Product Landscape
4. Segmentation Overview
4.2. Market Size & Forecast, 2015 to 2025
4.2.1. By Chip Type
4.2.2. By Industrial Vehicle
220.127.116.11. Media and Advertising
18.104.22.168. IT and Telecom
22.214.171.124. Automotive and Transportation
4.2.3. By Technology
126.96.36.199. Multi-Chip Module
4.2.4. By Application
188.8.131.52. Predictive Maintenance
184.108.40.206. Image Recognition
220.127.116.11. Contract Analytics
(Note: The segments mentioned above are tentative in nature and are subject to change as the research progresses)
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