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The machine learning chips market is forecasted to grow by USD 36.43 billion during 2023-2028, accelerating at a CAGR of 36.5% during the forecast period. The report on the machine learning chips market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.Speak directly to the analyst to clarify any post sales queries you may have.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by increasing adoption of machine learning chips in data centers, growing investment in smart cities, and development and integration of machine learning chips in autonomous vehicles.
The machine learning chips market is segmented as below:
By End-user
- BFSI
- IT and telecom
- Media and advertising
- Others
By Technology
- System-on-chip (SOC)
- System-in-package
- Multi-chip module
- Others
By Geographical Landscape
- North America
- Europe
- APAC
- South America
- Middle East and Africa
The report on the machine learning chips market covers the following areas:
- Machine learning chips market sizing
- Machine learning chips market forecast
- Machine learning chips market industry analysis
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to an analysis of the key vendors.
The report presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive research - both primary and secondary. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast the accurate market growth.
Table of Contents
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by End-user
7 Market Segmentation by Technology
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Opportunity/Restraints
11 Competitive Landscape
12 Competitive Analysis
13 Appendix
360 degree market analysis
List of Exhibits
Executive Summary
The following companies are recognized as the key players in the global machine learning chips market: Advanced Micro Devices Inc., Alphabet Inc., Baidu Inc., Broadcom Inc., Cerebras, Fujitsu Ltd., Graphcore Ltd., Huawei Technologies Co. Ltd., Intel Corp., International Business Machines Corp., MediaTek Inc., Microchip Technology Inc., NVIDIA Corp., NXP Semiconductors NV, Qualcomm Inc., SambaNova Systems Inc., Samsung Electronics Co. Ltd., SenseTime Group Inc., Taiwan Semiconductor Manufacturing Co. Ltd., and Tesla Inc..Commenting on the report, an analyst from the research team said: "The latest trend gaining momentum in the market is increasing investments in semiconductors."
According to the report, one of the major drivers for this market is the increasing adoption of machine learning chips in data centers.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Advanced Micro Devices Inc.
- Alphabet Inc.
- Baidu Inc.
- Broadcom Inc.
- Cerebras
- Fujitsu Ltd.
- Graphcore Ltd.
- Huawei Technologies Co. Ltd.
- Intel Corp.
- International Business Machines Corp.
- MediaTek Inc.
- Microchip Technology Inc.
- NVIDIA Corp.
- NXP Semiconductors NV
- Qualcomm Inc.
- SambaNova Systems Inc.
- Samsung Electronics Co. Ltd.
- SenseTime Group Inc.
- Taiwan Semiconductor Manufacturing Co. Ltd.
- Tesla Inc.
