Machine learning chip market is projected to reach $37,849.8 million by 2025, registering a CAGR of 40.8% from 2018 to 2025.

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.

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Machine learning is a sub-set of artificial intelligence which performs tasks related to AI. It is currently being adopted by several industries around the world. This technology uses algorithms and computational methods to teach computers to think the way humans and animals may react in a particular situation. The performance of this machine learning algorithm can be improved by increasing the number of trials.

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 control themselves without human intervention is anticipated to provide potential growth opportunities for the market. However, dearth of skilled workforce and AI phobia are the major restraints of the market. Moreover, increase in demand for smart homes & cities, increase in efforts to make more human-like robots, and popularity of IoT across the globe are expected to create tremendous opportunities for the market expansion.

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The major companies profiled in the report include AMD (Advanced Micro Devices), Google Inc., Intel Corporation, NVIDIA, Baidu, Bitmain Technologies, Qualcomm, Amazon, Xilinx, Samsung.

3: MARKET OVERVIEW

3.1. MARKET DEFINITION AND SCOPE
3.2. KEY FINDINGS

3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.2.3. Top winning strategies

3.3. PORTER’S FIVE FORCES ANALYSIS

3.3.1. Moderate-to-high bargaining power of suppliers
3.3.2. Moderate-to-high threat of new entrants
3.3.3. Low-to-Moderate threat of substitutes
3.3.4. High-to-moderate intensity of rivalry
3.3.5. High-to-moderate bargaining power of buyers

3.4. MARKET SHARE ANALYSIS, 2017 (%)
3.5. MARKET DYNAMICS

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3.5.1. Drivers

3.5.1.1. Emergence of quantum computing
3.5.1.2 Growth in number of machine learning applications
3.5.1.3 Trending Artificial Intelligence (AI)

3.5.2. Restraints

3.5.2.1 Dearth of skilled workforce
3.5.2.2 AI Phobia

3.5.3. Opportunities

3.5.3.1 Increase in demand for smart homes & smart cities
3.5.3.2 Increase in efforts to make more human-like robots
3.5.3.3 Popularity of IoT across the globe

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