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Oct 1, 2020 10:12 AM ET

Machine Learning Chips Market Next Big Thing | Major Giants: Wave Computing, Graphcore, IBM, Alphabet

iCrowd Newswire - Oct 1, 2020

The Global Machine Learning Chips Market has witnessed continuous growth in the past few years and is projected to grow even further during the forecast period (2019-2027). The assessment provides a 360° view and insights, outlining the key outcomes of the industry. These insights help the business decision-makers to formulate better business plans and make informed decisions for improved profitability. In addition, the study helps venture or private players in understanding the companies more precisely to make better informed decisions. 

Major Players are:

Wave Computing Inc., Graphcore, IBM, Alphabet, Qualcomm Technologies Inc., Intel Corporation, NVIDIA Corporation, Taiwan Semiconductor Manufacturing Company Limited, Xilinx, Inc., Cerebras Systems

Our Free Complimentary Sample Report Accommodate a Brief Introduction of the research report, TOC, List of Tables and Figures, Competitive Landscape and Geographic Segmentation, Innovation and Future Developments Based on Research Methodology. 

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Machine learning chip is the hardware accelerator or application-based computer system designed to accelerate machine learning applications. Machine learning applications involve algorithms for robotics, the internet of things and other data-intensive or sensor-driven tasks. These chip provides much more data security, latency and consumes much less power. They are designed to do certain AI problems faster at lower power than traditional processors. In the market, more than 100 companies are working on building next-generation chips and hardware architecture that would match the capabilities of algorithms. These machine-learning chips are capable of enabling deep learning applications on smartphones and other edge computing devices. The companies are using machine learning technology to improve business decisions, increase productivity, and detect disease, forecast weather, and others. The applications of machine learning involve virtual personal assistants, predictions while commuting, video surveillance, social media services, email spam and malware filtering, online fraud detection, and others. 

The Machine Learning Chips Market is segmented by following:

Study by  Type (Graphic Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA), Central Processing Unit (CPU), Others), Industry Vertical (Media & Advertising, Banking, Financial Services and Insurance (BFSI), IT & telecom, Retail, Healthcare, Automotive & Transportation, Others), Technology (System-on-chip (SoC), System-in-package (SIP), Multi-chip module, Others), Processing (Edge, Cloud) 

Market Trends:

Rising Demand from Mobile Phones

Huge Acceptance of Smart Devices 

Market Drivers:

Rising Demand for Machine Learning Chips Owing to the Development of Autonomous Robots and Vehicles that Control themselves ithout Human Intervention also Propelling the Market Growth 

Years considered for this report:

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 What are the market factors that are explained in the Machine Learning Chips Market 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 Machine Learning Chips market on a  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 Machine Learning Chips market dynamics and their latest trends, along with pertinent market segments and sub-segments. 

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

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GET FULL COPY OF United States Machine Learning Chips market study @ ——— USD 2000

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Extract from Table of Content:

Chapter 01 – Executive Summary

1.1 360 Degree Synopsis

1.2 Market value (US$ million).

Chapter 02 – Market Overview

Chapter 03 – Key Success Factors

3.1 Strategies adopted by key market participants and factors that have turned into success.

3.2 Additional viewpoint on global average pricing analysis benchmark, and consumer’s sentiments’ analysis.

Chapter 04 – Covid-19 Crisis Analysis on Global Machine Learning Chips Market

Chapter 05 – Global Machine Learning Chips Market – Pricing Analysis

Chapter 06 – Global Machine Learning Chips Market Background

6.1 Macroeconomic factors affecting the Global Machine Learning Chips market

6.2 Explore supply chain and value chain analysis.

6.3 In-depth information about the market dynamics and their consequences.

Chapter 07 — Global Machine Learning Chips Market Segmentation

Chapter 08 – Key and Emerging Countries Analysis in Global Machine Learning Chips Market

Chapter 09 – Global Machine Learning Chips Market Structure Analysis

Chapter 10 – Global Machine Learning Chips Market Competitive Analysis

10.1 Market Concentration Rate
 Competition Scenario: BCG Matrix [Relative Market Share v/s Revenue Growth Rate]
 Heat Map Analysis
 Comparative Market Share Analysis by Players (2018-2019) Rank, [% Market Share, Market Revenue]

Chapter 11 – Assumptions and Acronyms

Chapter 12 – Research Methodology 

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 Key Questions Addressed in the Report

Note – In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19.

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