Machine Learning Chips Market to Witness Stunning Growth
HTF Market Intelligence published a new research publication on Machine Learning Chips Market Insights, to 2028″ with 150+pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market associated stakeholders. The growth of the Machine Learning Chips market was mainly driven by the increasing R&D spending across the world, however latest scenario and economic slowdown have changed complete market dynamics. Some of the key players profiled in the study are Wave Computing Inc. (United States), Graphcore (United Kingdom), IBM (United States), Alphabet (United States), Qualcomm Technologies Inc. (United States), Intel Corporation (United States), NVIDIA Corporation (United States), Taiwan Semiconductor Manufacturing Company Limited (China), Xilinx, Inc. (United States), Cerebras Systems (United States)
According to HTF Market Intelligence, the Global Machine Learning Chips market to witness a CAGR of 21% during forecast period of 2023-2028. The market is segmented by Machine Learning Chips Comprehensive Study by Type (Graphic Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA), Central Processing Unit (CPU), Others), Industry Vertical (Media & Advertising, Banking, Financial Services and Insurance (BFSI), IT & telecom, Retail, Healthcare, Automotive & Transportation, Others), Technology (System-on-chip (SoC), System-in-package (SIP), Multi-chip module, Others), Processing (Edge, Cloud). The Machine Learning Chips market size is estimated to increase by USD 26815.4 Million at a CAGR of 21% from 2023 to 2028. The report includes historic market data from 2017 to 2022E. Currently, market value is pegged at USD 12506 Million.
Definition:
Machine learning chips are specialized processors designed to efficiently perform machine learning tasks such as training and inference.
The titled segments and sub-section of the market are illuminated below:
The Study Explore the Product Types of Machine Learning Chips Market: Graphic Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA), Central Processing Unit (CPU), Others
Key Applications/end-users of Machine Learning Chips Market: System-on-chip (SoC), System-in-package (SIP), Multi-chip module, Others
Market Trends:
Growing demand for artificial intelligence and machine learning applications in various industries such as healthcare, automotive, and finance is driving the growth of the machine learning chips market.
Market Drivers:
The increasing need for real-time data processing and analysis is a major driver for the adoption of machine learning chips.
Market Opportunities:
The development of new applications and use cases for machine learning, such as natural language processing and computer vision, is creating new opportunities for machine learning chips.
Actual Numbers & In-Depth Analysis of Global Machine Learning Chips Market Size Estimation and Trends Available in Full Version of the Report.
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