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 – Global Opportunity Analysis and Industry Forecast, 2018-2025
In 2017, the GPU segment dominated the global machine learning chip market in terms of revenue, in the chip type category. However, the others segment is expected to grow at a highest CAGR during the forecast period. Based on technology, the system-on-chip segment is anticipated to dominate the market throughout the forecast period (2018‐“2025). Moreover, based on industry vertical, the BFSI segment dominates the overall machine learning chip market. The machine learning chip market signifies a promising future for the technological industry. The current business scenario has witnessed an increase in the adoption of this technology, particularly in the developing regions. The companies have been adopting innovative techniques to provide customers with advanced and innovated product offerings.
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According to a recent report published by Allied Market Research, titled, Machine Learning Chip Market by Chip type, Technology, and Industry vertical: Global Opportunity Analysis and Industry Forecast, 2018-2025, the global machine learning chip market was valued at $2,425.6 million in 2017, and is projected to reach $37,849.8 million by 2025, registering a CAGR of 40.8% from 2018 to 2025.
At present, North America dominates the market, followed by Europe. In 2017, the U.S. dominated the North America market, and the UK led the overall market in Europe. While, in Asia-Pacific, China currently dominates the market.
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The trend in artificial intelligence (AI), use of machine learning in numerous applications and emergence of quantum computing are the factors which increase the demand for machine learning chip market. In addition, the development of autonomous robots that can control themselves without human intervention is anticipated to provide potential growth opportunities for the market.
Machine Learning Chip Market Key Segments:
By Chip Type
- GPU
- ASIC
- FPGA
- CPU
- Others
By Technology
- System-on-chip (SoC)
- System-in-package (SIP)
- Multi-chip module
- Others
By Industry Vertical
- Media & advertising
- BFSI
- IT & telecom
- Retail
- Healthcare
- Automotive & transportation
- Others
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Top Impacting Factors
The key factors that drive the growth of the global machine learning chip market are emergence of quantum computing, growth in number of machine learning applications, and trend in artificial intelligence (AI). However, dearth of skilled workforce and AI Phobia hampers the market growth to a certain extent. The market has witnessed significant growth, owing to rise in demand for smart homes & smart cities, increase in efforts to make more human-like robots and popularity of IoT across the globe. Each of these factors is anticipated to have a definite impact on the machine learning chip market during the forecast period.
Key Market Players Profiled
- AMD (Advanced Micro Devices)
- Google, Inc.
- Intel Corporation
- NVIDIA
- Baidu
- Bitmain Technologies
- Qualcomm
- Amazon
- Xilinx
- Samsung
Trending Artificial Intelligence (AI)
AI encompasses machine learning, robotics, and collaborative systems. AI requires a machine learning chip to accelerate the system without human intervention. Moreover, the emergence of AI technology in several applications that range from chatbots to autonomous cars fuels the machine learning chip market. In addition, key players operating in the market are developing a new computing model that uses parallel processors to accelerate computing through advanced chips.
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on Friday September 28 2018, 4:45 PM EDT.
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