At a CAGR 33.9% AI Chipsets Market Worth US$ 43.3 Bn in the Forecast period 2020-2023 | NVIDIA Corporation, IBM Corporation, Google Inc., Intel Corporation, Baidu Inc., Amazon Inc., Microsoft Corporation

The report presents an in-depth assessment of the Global AI Chipsets including enabling technologies, key trends, market drivers, challenges, standardization, regulatory landscape, deployment models, operator case studies, opportunities, future roadmap, value chain, ecosystem player profiles and strategies. The report also presents forecasts for Global AI Chipsets investments from 2020 till 2023.

The artificial intelligence (AI) chipsets market is expected to reach USD 43.3 billion in 2023 from USD 6.8 billion in 2017, witnessing a CAGR of 33.9% during the forecast period 2018 - 2023. The report profiles the companies engaged in volume production and research and development (R&D) of artificial intelligence chipsets.

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Top Leading Manufactures-

NVIDIA Corporation, IBM Corporation, Google Inc., Intel Corporation, Baidu Inc., Amazon Inc., Microsoft Corporation, Qualcomm Incorporated, Micron Technology, Inc., Huawei Technologies Co. Ltd, Samsung Electronics Co Ltd

Market Scenario

Artificial intelligence (AI) is making its way into almost every area of consumer electronics. It is expanding its applications from smartphones to the automobile industry. This expansion is leading to numerous opportunities to semiconductor industries. The need for processing rapidly growing volume of data is the key factor impacting the growth of the AI chipset market. The increasing social media and E-commerce penetration are resulting in an increase of the volume of data. For, instance E-commerce users in India generate over 30-40 TB (Terabytes) of data daily, which is the equivalent of content in 50 lakh Yellow Pages books. The need to process such huge data at a faster rate is driving the market. The increasing growth of machine learning in various sectors, such as automotive, finance, and retail is boosting the adoption of AI chipsets. The most popular application of AI chipsets in machine learning, which involves the manufacture of the driverless car is gaining momentum. The increasing focus on developing human-aware AI systems is increasing the growth of the market.

Growing demand for high-speed computing processors and increasing demand for improving consumer services and reducing operational costs is driving the growth of the AI chipsets market, while lack of skilled workforce and absence of standards and protocols is restraining the growth of the market.

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Competitive Landscape

May 2018: Google launched the third version of its A.I. chips. The new Tensor Processing Units (TPUs) would help Google improve applications that use AI to do things, like voice recognition, spot objects in photos and videos, and pick up underlying emotions in written text

Dec 2017: IBM and Nvidia collaborate to produce new AI chips. IBMs new Power9 series of chips are intended to help processors work closely with graphics processing chips from Nvidia

What are the market factors that are explained in the report?

–Key Strategic Developments: The study also includes the key strategic developments of the market, comprising R&D, new product launch, M&A, agreements, collaborations, partnerships, joint ventures, and regional growth of the leading competitors operating in the market on a Global and regional scale.

–Key Market Features: The report evaluated key market features, including revenue, price, capacity, capacity utilization rate, gross, production, production rate, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin. In addition, the study offers a comprehensive study of the key market dynamics and their latest trends, along with pertinent market segments and sub-segments.

–Analytical Tools: Global AI Chipsets Market report includes the accurately studied and assessed data of the key industry players and their scope in the market by means of a number of analytical tools. The analytical tools such as Porter’s five forces analysis, feasibility study, and investment return analysis have been used to analyzed the growth of the key players operating in the market. 

Media Contact Us:

Irfan Tamboli (Head of Sales) – Market Insights Reports

Phone: + 1704 266 3234 | +91-750-707-8687

sales@marketinsightsreports.com | irfan@marketinsightsreports.com

Media Contact Us:

Irfan Tamboli (Head of Sales) – Market Insights Reports

Phone: + 1704 266 3234 | +91-750-707-8687

sales@marketinsightsreports.com | irfan@marketinsightsreports.com

This release was published on openPR.