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AI in Hardware Market 2020: Potential growth, attractive valuation make it is a long-term investment

06-23-2020 12:24 PM CET | Business, Economy, Finances, Banking & Insurance

Press release from: AllTheResearch

The Global AI in Hardware Market Ecosystem was valued at US$ 14 Bn in 2018 and is expected to reach US$ XX Mn by the year 2026, growing at a CAGR of 14% by 2027.

The ripple effect of Coronavirus-COVID19 on the AI in Hardware Market Ecosystem needs to become part of strategy discussions to emerge strong. The Analyst team is meticulously tracking the impact and relevance to all the sectors in the AI in Hardware Market. Key datasets include Revenue Impact analysis, Disruptions and New opportunities in the Supply Chain, Revised Vendor Landscape Mix, New opportunities mapping, and more.

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The adoption of AI is rising in various industries such as retail, supply chain, healthcare, BFSI, and others. For AI applications to function smoothly, a lot of computational power is required. AI hardware varies from the traditional hardware in terms of its computational power. The AI hardware ecosystem includes products such as Graphics Processing Unit (GPU), application specific integrated circuits, and others. Hardware manufacturers are focusing on introducing innovative hardware for AI applications. Google has developed a customized Application Specific Integrated Circuit (ASIC), known as Tensor Processing Unit (TPU). These processors are designed to support machine learning workloads. Such developments will contribute to the growth of the overall AI hardware ecosystem. The AI hardware Ecosystem is expected to grow at a CAGR of 20% between 2018 and 2023.

Market Segmentation:
Following Top Key players are profiled in this Market Study:
Nvidia Corporation, Intel Corporation, Qualcomm Inc., Samsung Electronics Co., Ltd, Xilinx, Inc and more…

End-Use Industry: Automotive, Retail, Consumer Electronics, IT&Telecom, Others

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AI in Hardware MARKET ECOSYSTEM
As of 2019, the US is dominating the artificial intelligence (AI) hardware market. Most of the semiconductors sold worldwide belong to the companies based on US, and the number of companies designing AI chipset is more in the country. Nvidia, Intel, Microsoft, Apple, etc., are a few notable companies. These companies either manufacture AI hardware or invest in other start-ups to meet the demand across various industries. In China, the adoption of AI application is higher, and the country has emerged as the perfect competitor with the US.

At present, GPUs are dominating the AI hardware market and Nvidia is one of the leading players in GPUs, followed by Intel, AMD, and others. Most of the developed economies like the US and the UK, and developing economies like China, India, and other countries are focusing on digital transformation, which includes AI projects such as Smart city, Intelligent transportation, Public record maintenance, Tax audit, Law enforcement, etc. The development of new technologies such as AIoT and 5G will boost the demand in the AI hardware market during the forecasted time period

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Table of Content:
Ecosystem Report – Table of Content

Introduction
Global AI in HardwareMarket Ecosystem Definition
Scope of study
Executive Summary
Global Market Segmentation
AI in Hardware Market Ecosystem Positioning

Global AI in HardwareMarket Ecosystem Snapshot
Global AI in HardwareMarket Ecosystem Segmentation
By Component
AI in Hardware Market Ecosystem Sizing, Volume, and ASP Analysis & Forecast

Global AI in HardwareMarket Ecosystem Sizing & Volume
Cross-segmentation
And More…

View Complete Report with Different Company Profiles
https://www.alltheresearch.com/report/320/ai-hardware-ecosystem-market

AllTheResearch
Contact Person: Rohit B.
Tel: 1-888-691-6870
Email: contactus@alltheresearch.com

About Us:
AllTheResearch was formed with the aim of making market research a significant tool for managing breakthroughs in the industry. As a leading market research provider, the firm empowers its global clients with business-critical research solutions. The outcome of our study of numerous companies that rely on market research and consulting data for their decision-making made us realise, that its not just sheer data-points, but the right analysis that creates a difference.

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