Artificial Intelligence Chip Market by Chip Type, Application, Robotic Process Automation, Speech Recognition, and Others), Technology, Processing type, and Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2018 - 2025

NEW YORK, June 18, 2019 /PRNewswire/ -- 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), Processing type (Edge and Cloud), and Industry Vertical (Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, and Others): Global Opportunity Analysis and Industry Forecast, 2018 - 2025

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Artificial Intelligence Chip Market Overview:

Artificial intelligence (AI) has been the most progressive technology since its introduction in the 1950s. It is associated with human intelligence with 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 factors that drive the growth of the global artificial intelligence chip market include increase in demand for smart homes, development of smart cities, and emergence of quantum computing. However, lack of skilled workforce 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 provide 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. Based on application, it is divided into machine learning, natural language processing (NLP), robotic process automation, speech recognition, and others. On the basis of technology, the market is segmented into system-on-chip, system-in-package, multi-chip module, and others. Basd on processing type, it is bifurcated into edge and cloud. The industry verticals considered in the study include media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others.

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