Deep Learning Chipset Market Growth Statistics and Key Players Insights: NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD

Deep learning technology is driving the evolution of artificial intelligence (AI) and has become one of the hottest topics of discussion within the technology world and beyond. Given the rate at which deep learning is progressing, some industry observers are predicting it will bring about a doomsday scenario, while others strive for a time when the technology can transform business processes and create new business models through scalable, more efficient automation and predictive capabilities. The current market climate is ripe for innovation in hardware in general, and chipsets more specifically.

The Deep Learning Chipset market was valued at 870 Million US$ in 2017 and is projected to reach 10900 Million US$ by 2025, at a CAGR of 37.1% during the forecast period. In this study, 2017 has been considered as the base year and 2018 to 2025 as the forecast period to estimate the market size for Deep Learning Chipset.

The Global Deep Learning Chipset Market 2018 to 2025 renders deep perception of the key regional market status of the Deep Learning Chipset Industry on a global level that primarily aims the core regions which comprises of continents like Europe, North America, and Asia and the key countries such as United States, Germany, China and Japan.

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The following manufacturers are covered in this report:

• NVIDIA

• Intel

• IBM

• Qualcomm

• CEVA

• KnuEdge

• AMD

• Xilinx

• ARM

• Google

• Graphcore

• TeraDeep

• Wave Computing

• BrainChip

Deep Learning Chipset Breakdown Data by Type
• Graphics Processing Units (GPUs)
• Central Processing Units (CPUs)
• Application Specific Integrated Circuits (ASICs)
• Field Programmable Gate Arrays (FPGAs)
• Others

Deep Learning Chipset Breakdown Data by Application
• Consumer
• Aerospace, Military & Defense
• Automotive
• Industrial
• Medical
• Others

The report on “Global Deep Learning Chipset Market” is a professional report which provides thorough knowledge along with complete information pertaining to the Deep Learning Chipset industry a propos classifications, definitions, applications, industry chain summary, industry policies in addition to plans, product specifications, manufacturing processes, cost structures, etc. The potential of this industry segment has been rigorously investigated in conjunction with primary market challenges. The present market condition and future prospects of the segment has also been examined. Moreover, key strategies in the market that includes product developments, partnerships, mergers and acquisitions, etc., are discussed. Besides, upstream raw materials and equipment and downstream demand analysis is also conducted.

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The study objectives are:

To analyze and research the global Deep Learning Chipset status and future forecast，involving, production, revenue, consumption, historical and forecast.

To present the key Deep Learning Chipset manufacturers, production, revenue, market share, and recent development.

To split the breakdown data by regions, type, manufacturers and applications.

To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.

To identify significant trends, drivers, influence factors in global and regions.

To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.

Report Includes:-
The report cloaks the market analysis and projection of “Deep Learning Chipset Market” on a regional as well as global level. The report constitutes qualitative and quantitative valuation by industry analysts, first-hand data, assistance from industry experts along with their most recent verbatim and each industry manufacturers via the market value chain.

The research experts have additionally assessed the in general sales and revenue generation of this particular market. In addition, this report also delivers widespread analysis of root market trends, several governing elements and macro-economic indicators, coupled with market improvements as per every segment.

In this study, the years considered to estimate the market size of Deep Learning Chipset :
History Year: 2013 - 2017
Base Year: 2017
Estimated Year: 2018
Forecast Year: 2018 - 2025

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