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At 9.4% of CAGR, Machine Learning Chip Market Anticipated to Grow $8,272 Million By 2022 | Advanced Micro Devices Inc., Google Inc., Graphcore, Intel Corporation and Nvidia Corporation

04-09-2020 09:35 PM CET | Advertising, Media Consulting, Marketing Research

Press release from: Allied Market Research

Machine Learning Chip Market

Machine Learning Chip Market

According to recent report published by Allied Market Research, titled, "Machine Learning Chip Market by Chip Type (GPU, ASIC, FPGA, CPU, and Others), Technology (System-on-chip, System-in-package, Multi-chip module, and Others), and Industry Vertical (Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, and Others) - Global Opportunity Analysis and Industry Forecast, 2018-2025", the Machine Learning Chip Market was valued at $4,495 million in 2015 and is estimated to reach $8,272 million by 2022, growing at a CAGR of 9.4% from 2016 to 2022. The Neuromorphic Chip segment held nearly 30% of the total market in 2015.

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Machine learning chip is widely used across the applications such as robotics, healthcare, automotive, and consumer electronics. At present, rising demand for automated electronic devices and trending Artificial Intelligence (AI) are some factors that majorly drive the market. Moreover, popularity of Internet of Things (IoT) is expected to provide lucrative opportunities to market players.

According to Komal Sharma, Research Analyst, Semiconductor & Electronics Research at Allied Market Research, "Machine learning chip is a multiprocessor that enables the machine to gain human-like intelligence without being explicitly programed. Moreover, they offer numerous benefits, such as learning, reasoning, and self-correction. Neuromorphic chip represents almost 30% of the total machine learning chip market, owing to its resilience and high efficiency. In addition, substantial demand for electronics applications and trend of customer shift towards advanced chips to achieve better efficiency are expected to fuel its adoption in the consumer electronics, automotive, and other industry sectors."

The Neuromorphic Chip segment is projected to maintain its lead in the global machine learning chip market, as this type is used in various electronics applications such as gaming, driverless vehicles, drones & air transport, security & cyber security, speech, and image recognition. Moreover, Flash based Memory Chip is expected to grow owing to its stability and enhanced performance.

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Among applications, robotics industry segment dominated the global market in 2015, accounting for about 52% share. Trending artificial intelligence (AI), diversified application areas, and improved productivity fuel the market growth. However, consumer electronics segment is expected to grow at the highest CAGR of 13.1% during the forecast period due to increase in demand for automated electronic devices.

North America was the major revenue contributor in 2014, and is expected to maintain its dominance throughout the forecast period. This is attributed to the increase in number of automated medical devices and automated robots. Moreover, developments in consumer electronics and aerospace & defense is projected to boost the growth of the machine learning chip market, especially in the Asian countries, such as China, Japan, South Korea, and India.

LAMEA is projected to be the fastest growing region during the analysis period, owing to increase in demand for automated machinery, and rise in the adoption of machine learning chip in automotive and healthcare sectors. Moreover, technological advancements to overcome complexity of the circuit is expected to offer lucrative opportunities for market players in the near future.

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Key Findings of the Machine Learning Chip Market:
1. In 2015, Neuromorphic Chip segment dominated the global machine learning chip market in terms of revenue, and is projected to grow at a CAGR of 7.7% during the forecast period.
2. Flash based Memory Chip segment is expected to exhibit the fastest growth during the forecast period, owing to increase in applications such as medical devices and super computer.
3. Robotics industry segment dominates the global machine learning chip market, accounting for about 52% share in 2015.
4. China is the major shareholder in the Asia-Pacific machine learning chip market, accounting for about 42% share.

The key players operating in the machine learning chip market adopt new product launch as their preferred strategy to expand their market foothold. The major players profiled in this report include Advanced Micro Devices, Inc., Google Inc., Graphcore, Intel Corporation, International Business Machines (IBM) Corporation, Nvidia Corporation, Qualcomm Technologies, Inc., Taiwan Semiconductor Manufacturing Company Ltd., Wave Computing, and XILINX Inc.

Chapter 1: Introduction
Chapter 2: Executive Summary
Chapter 3: Market Overview
Chapter 4: Machine Learning Chip Market, By Chip Type
Chapter 5: Machine Learning Chip Market, By Technology
Chapter 6: Machine Learning Chip Market, By Industry Vertical
Chapter 7: Machine Learning Chip Market, By Region
Chapter 8: Company Profiles

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Allied Market Research (AMR) is a full-service market research and business consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

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