Machine learning chip is a kind of multiprocessor system which enables the machines to gain human-like intelligence without the need of explicit programming. With the human-like intelligence, the chips are endowed with features such as learning, reasoning, and self-correction. Additionally, machine learning algorithms also use the feedback data to identify the patterns in the new data and accordingly adjust program actions. The machine learning chips facilitate continuous development of computing through exposure to new scenarios, testing, and adaptation. With advancements in the technology, the machine learning chips would have a transformative effect on consumer products, defense applications, and others.
Huge amount of complex data, growth in portable electronic market, and rapid growth in the adoption of Internet of Things (IoT) are the major factors that drive the global machine learning chip market. Nevertheless, significantly high implementation cost and limited level of accuracy are some of the factors that restrict the market growth. Introduction of automated appliances in consumer electronics and automotive segments would drive the market with fresh opportunities to explore.
The global machine learning chip market is segmented based on type, application, and geography. Based on type, the market is segmented into GPU chip, neuromorphic chip, flash based chip, and FPGA chip. Based on the applications the market is segmented into consumer electronics, automotive, healthcare, robotics, and others.
Key Topics Covered:
1. Market Scope & Methodology
2. Executive Summary
3. Market Overview
4. Global Machine Learning Chip Market
5. Global Machine Learning Chip Market by Application
6. Global Machine Learning Chip Market by Region
7. Company Profiles
- Wave Computing
- Graphcore Ltd
- Google Inc
- Intel Corporation
- IBM Corporation
- Nvidia Corporation
- Qualcomm Inc.
Taiwan Semiconductor Manufacturing Company Ltd.
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