Machine Learning Chip Market Overview:
Machine Learning Chip Market size is expected to reach $8,272 million in 2022 from $4,495 million in 2015, growing at a CAGR of 9.4% from 2016 to 2022.
Machine learning chip is a multi-processor chip, which has the ability to learning, reason, and self-correction its algorithm without being explicitly programed. These integrated circuit chips can detect patterns in the new data and adjust program actions accordingly. These chips help to update the applications without any change in the hardware. Machine learning chips are widely adopted in applications such as robotics, healthcare, automotive, consumer electronics, and others owing to its enhanced efficiency and durability.
Improved productivity, diversified application areas, and trending Artificial Intelligence (AI) have increased the rate of adoption of machine learning chip in robotics, automotive, healthcare, and other sectors. Hence, the global machine learning chip market is expected to witness moderate growth in the near future, owing to compact size and enhanced durability. However, lack of skilled workforce hampers the market growth. Popularity of Internet of Things (IoT) and increase in demand for automated devices are expected to provide lucrative opportunities to the market.
The global machine learning chip market is segmented on the basis of type, application, and geography. Based on packaging type, the market is classified into GPU chip, neuromorphic chip, flash-based memory chip, and FPGA chip. In 2015, Neuromorphic chip was the largest revenue contributor, as it is widely adopted in robotics industry, and is expected to maintain this trend throughout the forecast period, owing to its enhanced efficiency and durability.
The consumer electronics segment offers lucrative scope to industry players, and are expected to exhibit higher growth as compared to the other segments during the forecast period. North America accounted for the largest revenue share in the global market in 2015, owing to the increase in demand for semiconductor devices and automated devices.
Top Impacting Factors
The machine-learning technology has driven exceptional increase in productivity. For example, Google has modified cars such as Toyota Prius with its experimental driverless technology. Machine learning chip has currently transformed business management through integration of various tools such as workflow management tools, brand purchase advertising, trend predictions, and others.
Trending Artificial Intelligence (AI)
AI encompasses deep learning, computer vision, robotics, collaborative systems, machine learning, and natural learning process in other things. AI has made significant advances in recent years owing to its devotion towards making machines intelligent and enabling them to function appropriately with foresight in its environment. AI requires machine learning chip to accelerate the system without any human assistant. Companies develop a new computing model that uses parallel processors to accelerate computing through advanced chips.
The key players profiled in the report are 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 players in the value chain include BigML, Inc., FICO. Hewlett-Packard Enterprise Development LP, and Microsoft Corporation.
- The study provides an in-depth analysis of the global machine learning chip market to elucidate the prominent investment pockets.
- Current trends and future estimations are outlined to determine the overall attractiveness, and single out profitable trends to gain a stronger foothold in the market.
- The report provides information regarding key drivers, restraints, and opportunities along with their impact analysis.
- The market is analyzed based on various regions, namely, North America, Europe, Asia-Pacific, and LAMEA.
Machine Learning Chip Market Key Segmentation
- GPU Chip
- Neuromorphic Chip
- Flash Based Memory Chip
- FPGA Chip
- Consumer Electronics
- Robotics Industry
- North America
- Rest of the Europe
- South Korea
- Rest of Asia-Pacific
- Latin America
- Middle East
- Advanced Micro Devices, Inc.
- Google Inc.
- Intel Corporation
- International Business Machines (IBM) Corporation
- Nvidia Corporation
- Qualcomm Technologies, Inc.
- Taiwan Semiconductor Manufacturing Company Ltd.
- Wave Computing
- XILINX Inc.
*Other companies in value chain
- BigML, Inc.
- Hewlett-Packard Enterprise Development LP
- Microsoft Corporation
*Profiles of these players are not included. The same will be included on request