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ASIC Segment to Garner 21% of Machine Learning Chip Market by 2025 - Allied Market Research

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ASIC Segment to Garner 21% of Machine Learning Chip Market by 2025 - Allied Market Research

PR Newswire

PORTLAND, Oregon, August 21, 2018 /PRNewswire/ --

Allied Market Research published a new report on Machine Learning Chip Market by Type (GPU Chip, Neuromorphic Chip, Flash Based Chip, and FPGA Chip), and Application (Consumer Electronics, Automotive, Healthcare, Robotics Industry) - Global Opportunity Analysis and Industry Forecast, 2014 - 2022. According to the report, the global machine learning chip market was worth $2.4 billion in 2017 and is projected to reach $37.8 billion in 2025, registering a CAGR of 40.8% from 2017 to 2025. The rise in adoption of machine learning chips across various industries due to their optimized productivity, diversified applications and use of artificial intelligence (AI) has contributed to the growth of the market. However, lack of skilled workforce poses a key threat to the market growth. In contrast, growing popularity of Internet of Things (IoT) and increased demand for automated devices would offer lucrative growth opportunities for the industry.

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Major types of machine learning chips 

The study identifies the various types of machine learning chips available in the market. These include GPU chip, ASIC, FPGA chip, CPU among others. The GPU chip segment was the largest contributor to the global market in 2017, accounting nearly one-third share of the total revenue. The ASIC segment is expected to attain the leading position by 2025, growing at 21.33% CAGR from 2018 to 2025.

Technologies shaping the industry 

The report discuses technologies such as system-on-chip (SoC), system-in-package (SIP), multi-chip module, and others. The system-on-chip segment is likely to account for nearly half of the total market revenue by 2025.

Lucrative market regions for the industry 

The report presents a country-level, cross-sectional analysis of the machine learning chip types and technology segments across North America, Europe, Asia-Pacific, and Latin America, Middle East and Africa (LAMEA). As per the study, the North American region currently dominates the global market, while Asia-Pacific is expected to grow fastest at a CAGR of 21% through 2025.

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Identifying the key players of the industry 

The leading players providing solutions in the global machine learning chip industry 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. Other major players in the market include BigML, Inc., FICO. Hewlett-Packard Enterprise Development LP, and Microsoft Corporation. The study provides information such as their operating business segments, their key strategic developments, and more. These players have adopted effective research & development strategies as well as market expansion strategies to achieve a sustainable growth in the global market.

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About Us 

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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