Global Machine Learning Chip Market: Overview
This era is of Artificial Intelligence (AI). The current boom in this technology has given rise to a flood of associated technologies, especially machine learning, an important section of AI. A number of technology companies have forayed into various verticals of this sector, among which, machine learning chips take the center stage. The rivalry between machine learning chip manufacturers characterizes the vendor landscape of the global machine learning chip market. The leading machine learning chip manufacturers across the world are relying increasingly on research and development and, consequently, new launces for the growth of their businesses. Hailo, a Tel Aviv-based Machine Learning chipmaker, recently announced that it is in the process of sampling its -8 chips, the first ones among its deep learning processors. This new chip promises of up to twenty-six tera operations per second (TOPS) and the company has begun to test it with a select number of customers, mostly from the automotive industry.
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This report presents a detailed competitive assessment of the global machine learning chip markets vendor landscape, considering the primary trends and prospects of the leading players in this market. A companys product offerings, market positioning, and R&D activities are the main factors that this study focuses on in order to gain a detailed insight. It also includes the revenue generated by these companies in 2017 in its calculation to offer a clearer perspective about the future status of this market to its readers.
Machine learning is a sub-set of artificial intelligence which performs tasks related to AI. It is currently being approved by numerous industries everywhere in world. This technology uses procedures and computational methods to teach processors to think the way individuals and animals may react in a specific situation. The presentation of this machine learning procedure can be better by growing the number of trials.
The key factors that drive the growth of the global machine learning chip market are emergence of quantum computing, growth in number of machine learning applications, and trend in artificial intelligence (AI). However, lack of skilled workforce and AI Phobia hinders the market growth to a certain extent. The market has observed significant growth, owing to rise in demand for smart homes & smart cities, rise in efforts to make more human-like robots and popularity of IoT across the globe. The trend in artificial intelligence (AI), use of machine learning in numerous applications, and emergence of quantum computing are the factors which increase the demand for machine learning chip market. In addition, the expansion of autonomous robots that control themselves without human interference is predicted to provide potential growth openings for the market. Each of these factors is anticipated to have a definite impact on the machine learning chip market during the forecast period.
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The market is segmented on the basis of, chip type, technology, industry vertical, and geographical region. On the basis of chip type, the market is segmented into GPU, ASIC, FPGA, CPU and others. On the basis of technology, the global machine learning chip market is segmented into system-on-chip (SoC), system-in-package (SIP), multi-chip module, and others. By industry vertical, machine learning chip market can be segmented into BFSI, IT & telecom, media & advertising, automotive & transportation, retail, healthcare, and others. Based on industry vertical, the BFSI segment dominated the global machine learning chip market in 2017. However, the others segment is expected to grow at the highest CAGR during the forecast period. By geographical region the global machine learning chip market is split up into North America, Europe, Asia Pacific, Middle East & Africa and South America. North Americais expected to have largest machine learning chip market share during estimated period and is expected to witness significant growth owing to the presence of large manufacturing in this region. The region, along withEurope, is one of the developers in adopting new technologies, which is also one of the key factors for the high CAGR in this region.
Acquisitions and Merger, new product introductions, investments, and corporations & developments are the key strategies adopted by market companies to ensure their growth in the machine learning chip market. The key players are Advanced Micro Devices, Inc, Wave Computing, Graphcore, Intel Corporation, Google Inc., International Business Machines (IBM) Corporation, Qualcomm Technologies, Inc., Nvidia Corporation, Taiwan Semiconductor, and XILINX Inc., Samsung Electronics (South Korea), Micron Technology (US), Qualcomm (US), are some major players in the machine learning chip market.
MRR.BIZ has been compiled in-depth market research data in the report after exhaustive primary and secondary research. Our team of able, experienced in-house analysts has collated the information through personal interviews and study of industry databases, journals, and reputable paid sources.
The report provides the following information: Tailwinds and headwinds molding the markets trajectory Market segments based on products, technology, and applications Prospects of each segment Overall current and possible future size of the market Growth pace of the market Competitive landscape and key players strategies
The main aim of the report is to: Enable key stakeholders in the market bet right on it Understand the opportunities and pitfalls awaiting them Assess the overall growth scope in the near term Strategize effectively with respect to production and distribution
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