Artificial Intelligence Chip Market by Chip Type (GPU, ASIC, FPGA, CPU, and others), Application (Machine Learning, Natural Language Processing (NLP), Robotic Process Automation, Speech Recognition, and Others), Technology (System-on-chip, System-in-package, Multi-chip module, and Others), and Industry vertical (Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, and Others) - Global Opportunity Analysis and Industry Forecast, 2018-2025
Artificial intelligence (AI) has been the most progressive technology since its introduction in the 1950s. It is associated to human intelligence with similar characteristics, such as language understanding, reasoning, learning, problem solving, and others. Manufacturers in the market witness enormous underlying intellectual challenges in the development and revision of such technology. It is positioned as the core of the next-generation software technologies in the market.
The growth of the global artificial intelligence chip market is driven by increase in demand for smart homes, development of smart cities, and emergence of quantum computing. However, development of smart cities restrains the market growth. Further, in the near future, increased adoption of AI chips in the developing regions and development of smarter robots are expected to create lucrative opportunities for the key players operating in the global artificial intelligence chip market.
The global artificial intelligence chip market is segmented based on chip type, application, industry vertical, technology, and geography. By chip type, the market is categorized into GPU, ASIC, FPGA, CPU, and others. The applications analyzed in the study are machine learning, natural language processing (NLP), robotic process automation, speech recognition, and others. System-on-chip, system-in-package, multi-chip module, and others are the technologies considered. The industry verticals considered in the study include media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others.
Geographically, the market is sub-segmented into North America, Europe, Asia-Pacific, and LAMEA.
The key players profiled in the report include AMD (Advanced Micro Devices), Google, Inc., Intel Corporation, NVIDIA, Baidu, Graphcore, Qualcomm, Adapteva, UC-Davis, Mythic, and others.
This study comprises analytical depiction of the global artificial intelligence chip market with current trends and future estimations to depict the imminent investment pockets.
The overall market potential is determined to understand the profitable trends to gain a stronger coverage in the market.
The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
The current market is quantitatively analyzed from 2017 to 2025 to highlight the financial competency of the market.
Porterâ€™s Five Forces analysis illustrates the potency of the buyers and suppliers.
KEY MARKET SEGMENTS
BY CHIP TYPE
Deep learning (Image recognition, Computer vision)
Natural language processing (NLP)
Classification & clustering
Robotic process automation
Speech to text
Text to speech
Others (Expert systems, planning, scheduling)
BY INDUSTRY VERTICAL
Media & advertising
IT & telecom
Automotive & transportation
Rest of Europe
Rest of Asia-Pacific
KEY MARKET PLAYERS PROFILED
AMD (Advanced Micro Devices)
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