Artificial Intelligence Chip Market, By Component (Hardware, Software and Services), Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), Application (Smartphone, Smart Wearable, Robotics, Automobile, Medical Imaging, Security Systems), End-Users (Healthcare, Automotive, Agriculture, Manufacturing, Retail, Security, Human Resource, Banking and Financial Services, Marketing, Law), Geography (North America, Europe, Asia-Pacific, Middle East and Africa and South America) and Forecast
The global artificial intelligence chip market is anticipated to reach USD 164.9 billion by 2020 growing at a CAGR of 36.2% during the forecasting period, 2020-2028.
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Artificial intelligence chip is a chip that has featured artificial intelligence technology used for machine learning. It helps in automating the processes, solving mathematical and computational problems. Factors such as the rise in demand of smart cities, emerging quantum computing market, and lack of skilled workforce are some of the major drivers for the global artificial intelligence chip market
Key players in the global artificial intelligence chip market are:
· Intel,
· Nvidia,
· Samsung Electronics,
· Xilinx,
· Micron Technology,
· IBM,
· Microsoft,
· Google,
· Amazon Web Services (AWS),
· Facebook,
· Baidu,
· Oracle,
· Salesforce,
· SAS,
· SAP,
· General Electric,
· Cisco,
· Rockwell,
· Siemens and among others.
Key Findings
· The global artificial intelligence chip market is segmented into component, technology, application, end-user, and geography.
· The component segment is sub-segmented into Hardware, Software, and Services. The hardware segment has been segmented into Processor, Accelerator, Memory, Network, Storage and Others. The processor has been further segmented into image processor, vision processor and video processor. Accelerator has been further segmented into Graphics Processing Units (GPU), Central Processing Units (CPU), Application Specific Integrated Chips (ASIC), Field Programmable Gate Arrays (FPGA), and System-On-Chip (SOC).
· The technology segment is sub segmented into Machine Learning, Natural Language Processing, Context-Aware Computing, and Computer Vision. The machine Learning segment has been further segmented into supervised learning, deep learning, reinforcement learning, unsupervised learning, and others.
· The application segment has been segmented into Smartphones, Smart Wearable, Robotics, Automobile, Medical Imaging and Security Systems.
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The companies have come up with various promotional activities in from of launch, investment, acquisition, and other, for instance:
In 2019, Intel has collaborated with the Facebook for the development of an AI chip that would help in inference, in which AI algorithm performs certain functions like tagging friends in the photos.
In 2019, Apple has announced the launch of the new AI chip A12 Bionic which is a 7nm smartphone chip consist of 6.9 billion transistors and a neural engine along with a graphics processing unit (GPU). It has properties like performing almost 5 trillion operations per second.
The Report helps to identify the opportunities in Global Regions:
· North America (the United States, Canada, and Mexico)
· Europe (Germany, UK, France, Italy, Russia, Turkey, etc.)
· Asia-Pacific (China, Japan, Korea, India, Australia, and Southeast Asia (Indonesia, Thailand, Philippines, Malaysia, and Vietnam))
· South America (Brazil etc.)
· The Middle East and Africa (North Africa and GCC Countries)
Key Features of Global Market Report:
· Analyze competitive developments like expansions, deployments, new product launches, and acquisitions.
· Identify growth opportunities for stakeholders by pinpointing high-growth segments.
· Study global industries status and forecast, focusing on key regions.
· Conduct an in-depth analysis of product segments and applications, offering strategic recommendations for competitive advantage.
· Provide a comprehensive analysis of key regions, including SWOT and Porter's Five Forces analyses.
· Assist in making strategic business decisions and investment plans.
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