Global Artificial intelligence (AI) chips Market Analysis & Trends - Industry Forecast to 2027
The Global Artificial Intelligence (AI) Chips Market is poised to grow strong during the forecast period 2017 to 2027. Some of the prominent trends that the market is witnessing include convergence of artificial intelligence (ai) and internet of things (iot), increasing investments in artificial intelligence (ai) start-ups and advances in the quantum computing market.
Based on Processing Type, the market is categorized into Cloud and Edge.
Depending on Chip Type, the market is segregated into Central Processing Unit (CPU), Application-Specific Integrated Circuit (ASIC), Graphical Processing Unit (GPU), Field-Programmable Gate Array (FPGA) and Other Chip Types.
Based on Application, the market is divided into Robotic Process Automation, Speech Recognition, Machine Learning, Natural Language Processing (NLP) and Other Applications. In addition, Speech Recognition segment is further segmented into Text to Speech and Speech to Text. Machine Learning segment is sub segmented into Predictive Analysis, Deep Learning and Other Machine learnings. Natural Language Processing (NLP) segment is classified into Information Extraction, Translation and Classification & Clustering. Other Applications segment Scheduling, Expert Systems and Planning. Moreover, Deep Learning segment is segregated into Computer Vision and Image Recognition.
By Technology, the market is classified into System-in-Package, System-on-Chip, Multi-Chip Module and Other Technology.
On the bases of End User, the market is segmented into Banking, Financial Services and Insurance (BFSI), Healthcare, Media & Advertising, Automotive & Transportation, Foundries,
Integrated Device Makers (IDM), IT & Telecom, Retail, Consumer Goods, Electronics, Commercial and Government & Defense and Other End Users.
This industry report analyzes the market estimates and forecasts of all the given segments on global as well as regional levels presented in the research scope. The study provides historical market data for 2015, 2016 revenue estimations are presented for 2017 and forecasts from 2018 till 2027. The study focuses on market trends, leading players, supply chain trends, technological innovations, key developments, and future strategies. With comprehensive market assessment across the major geographies such as North America, Europe, Asia Pacific, Middle East, Latin America and Rest of the world the report is a valuable asset for the existing players, new entrants and the future investors. Moreover, Deep Learning segment is sub segmented into Computer Vision and Image Recognition.
The study presents detailed market analysis with inputs derived from industry professionals across the value chain. A special focus has been made on 23 countries such as U.S., Canada, Mexico, U.K., Germany, Spain, France, Italy, China, Brazil, Saudi Arabia, South Africa, etc. The market data is gathered from extensive primary interviews and secondary research. The market size is calculated based on the revenue generated through sales from all the given segments and sub segments in the research scope. The market sizing analysis includes both top-down and bottom-up approaches for data validation and accuracy measures.
This report provides data tables, includes charts and graphs for visual analysis.
- Rest of Europe
- New Zealand
- Rest of Asia Pacific
- Saudi Arabia
- Rest of Middle East
- Rest of Latin America
Rest of the World
- South Africa
- The report provides a detailed analysis on current and future market trends to identify the investment opportunities
- Market forecasts till 2027, using estimated market values as the base numbers
- Key market trends across the business segments, Regions and Countries
- Key developments and strategies observed in the market
- Market Dynamics such as Drivers, Restraints, Opportunities and other trends
- In-depth company profiles of key players and upcoming prominent players
- Growth prospects among the emerging nations through 2027
- Market opportunities and recommendations for new investments
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