Machine Learning Chip Market Growing at US$ 33.02 Billion by 2027 | Industry Insights By Growth, Emerging Trends and Global Forecast

According to the latest report by IMARC Group, the global machine learning chip market reached a value of US$ 5.86 Billion in 2021. Looking forward, IMARC Group expects the market to reach a value of US$ 33.02 Billion by 2027 exhibiting a CAGR of 31.20% during 2022-2027.

Machine learning (ML) is a technology that relies on experiential learning as opposed to programming for making various decisions. ML chips are installed to improve the intellectual property cores and enhance design and tool flows. They also help in automating the tuning and routing of devices to augment the power, performance and area (PPA) results via ML, analytics, optimization, etc. The hardware infrastructures of ML chips mainly consist of three components, which are storage, networking, and computing. Some of the standard ML chips are field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and application-specific integrated circuits (ASICs). They are widely used for error prevention and cost-saving purposes across several sectors, such as manufacturing, automotive, media, transportation, finance, etc.

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Machine Learning Chip Market Trends and Drivers:

The widespread utilization of artificial intelligence (AI) and the emergence of quantum computing are primarily driving the machine learning chip market. Besides this, the expanding gaming sector and the shifting preferences from central processing units (CPUs) towards GPUs for simultaneously performing various complex tasks are further catalyzing the market growth.

Moreover, the growing usage of smart infrastructures in corporate environments and the elevating number of smart city projects are also augmenting the global market. In line with this, the inflating demand for smart homes is acting as another significant growth-inducing factor. In addition to this, the development of human-like robots to reduce human interventions and errors is projected to fuel the machine learning chip market in the coming years.

Note: We are regularly tracking the direct effect of COVID-19 on the market, along with the indirect influence of associated industries. These observations will be integrated into the report.

Global Machine Learning Chip Market 2022-2027 Analysis and Segmentation:

Competitive Landscape:

The competitive landscape of the market has been studied in the report with the detailed profiles of the key players operating in the market.

Advanced Micro Devices Inc., Amazon Web Services Inc. (Amazon.com Inc.), Cerebras Inc., Google LLC, Graphcore, Intel Corporation, International Business Machines Corporation, NVIDIA Corporation, Qualcomm Incorporated, Samsung Electronics Co. Ltd. and Taiwan Semiconductor Manufacturing Company Limited.

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The report has segmented the market on the basis of region, technology, chip type and industry vertical.

Breakup by Technology:
• System-on-Chip (SoC)
• System-in-Package
• Multi-chip Module
• Others

Breakup by Chip Type:
• GPU
• ASIC
• FPGA
• CPU
• Others

Breakup by Industry Vertical:
• BFSI
• IT and Telecom
• Media and Advertising
• Retail
• Healthcare
• Automotive
• Others

Breakup by Region:
• North America: (United States, Canada)
• Asia Pacific: (China, Japan, India, South Korea, Australia, Indonesia, Others)
• Europe: (Germany, France, United Kingdom, Italy, Spain, Russia, Others)
• Latin America: (Brazil, Mexico, Others)
• Middle East and Africa

If you want latest primary and secondary data (2022-2027) with Cost Module, Business Strategy, Distribution Channel, etc. Click request free sample report, published report will be delivered to you in PDF format via email within 24 to 48 hours of receiving full payment.

Key highlights of the report:
• Market Performance (2016-2021)
• Market Outlook (2022- 2027)
• Porter's Five Forces Analysis
• Market Drivers and Success Factors
• SWOT Analysis
• Value Chain
• Comprehensive Mapping of the Competitive Landscape

If you need specific information that is not currently within the scope of the report, we can provide it to you as a part of the customization.

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