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Machine Learning Chip Market 2018-2025: Key Player, Demand, Growth, Opportunities and Forecast

Press Release

A new market research report on the global Machine Learning Chip market has introduced by KD Market Insights. The report is dedicated to in-depth industry analysis of the global growing-up market. The global Machine Learning Chip analysis is broken down on different segmentation levels including BY CHIP TYPE, BY TECHNOLOGY, BY INDUSTRY VERTICAL.

Machine learning is derived from the field of artificial intelligence (AI), which uses algorithm to find out natural patterns in data for the development of computers. This data is used to take better decisions and make predictions in applications, such as stock trading, medicals, machine load forecasting, and others. For instance, many media sites depend on machine learning technology for the best recommendations of songs and movies from millions of options. Furthermore, retail industries also use this technology to predict purchasing behavior of their customers. The machine learning technology is widely adopted for the applications, such as image processing, face detection’s, motion & object detections, and others. In addition, it can also be implemented in computation biology for tumor detection and DNA sequencing. Furthermore, machine learning can be used for prediction of maintenance in automotive, manufacturing, and aerospace industries.

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The machine learning chip market has witnessed significant growth over the years, owing to increase in big data in various fields and rise in rate of deployments in the developing regions.

The global machine learning chip market is segmented based on chip type, industry vertical, technology, and geography. Based on chip type, the market is categorized into graphics processing unit (GPU), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), central processing unit (CPU), and others. Based on technology, the market is segmented as system-on-chip, system-in-package, multi-chip module, and others. Based on industry vertical, it is divided into media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others.
Based on region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The key players profiled in the report include AMD (Advanced Micro Devices), Google, Inc., Intel Corporation, NVIDIA, Baidu, Bitmain Technologies, Qualcomm, Amazon, Xilinx, Samsung.

KEY BENEFITS FOR STAKEHOLDERS
– This study comprises an analytical depiction of the global machine learning chip market, with current trends and future estimations to depict the imminent investment pockets.
– The overall market potential is determined to understand the profitable trends to gain a strong foothold in the market.
– The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
– The current market is quantitatively analyzed from 2017 to 2025 to highlight the financial competency of the market.
– Porters five forces analysis illustrates the potency of the buyers and suppliers.

KEY MARKET 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

BY REGION
North America
– U.S.
– Canada
– Mexico
Europe
– UK
– Germany
– France
– Russia
– Rest of Europe
Asia-Pacific
– China
– Japan
– India
– Australia
– Rest of Asia-Pacific
LAMEA
– Latin America
– Middle East
– Africa

KEY MARKET PLAYERS PROFILED
– AMD (Advanced Micro Devices)
– Google, Inc.
– Intel Corporation
– NVIDIA
– Baidu
– Bitmain Technologies
– Qualcomm
– Amazon
– Xilinx
– Samsung

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Table of Content

CHAPTER 1: INTRODUCTION
1.1. REPORT DESCRIPTION
1.2. KEY MARKET SEGMENTS
1.3. RESEARCH METHODOLOGY
1.3.1. Primary research
1.3.2. Secondary research
1.3.3. Analyst tools and models

CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO PERSPECTIVE

CHAPTER 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. PORTERS 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
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

CHAPTER 4: MACHINE LEARNING CHIP MARKET, BY CHIP TYPE
4.1. OVERVIEW
4.2. GPU
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market analysis by country
4.3. ASIC
4.3.1. Key market trends, growth factors, and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market analysis by country
4.4. FPGA
4.4.1. Key market trends, growth factors, and opportunities
4.4.2. Market size and forecast, by region
4.4.3. Market analysis by country
4.5. CPU
4.5.1. Key market trends, growth factors, and opportunities
4.5.2. Market size and forecast, by region
4.5.3. Market analysis by country
4.6. OTHERS (NPU & HYBRID CHIP)
4.6.1. Key market trends, growth factors, and opportunities
4.6.2. Market size and forecast, by region
4.6.3. Market analysis by country

CHAPTER 5: MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY
5.1. OVERVIEW
5.2. SYSTEM-ON-CHIP (SOC)
5.2.1. Key market trends, growth factors and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market analysis by country
5.3. SYSTEM-IN-PACKAGE (SIP)
5.3.1. Key market trends, growth factors, and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market analysis by country
5.4. MULTI-CHIP MODULE
5.4.1. Key market trends, growth factors, and opportunities
5.4.2. Market size and forecast, by region
5.4.3. Market analysis by country
5.5. OTHERS (PACKAGE IN PACKAGE, TSV)
5.5.1. Key market trends, growth factors, and opportunities
5.5.2. Market size and forecast, by region
5.5.3. Market analysis by country

CHAPTER 6: MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL
6.1. OVERVIEW
6.2. MEDIA & ADVERTISING
6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market analysis by country
6.3. BFSI
6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market analysis by country
6.4. IT & TELECOM
6.4.1. Key market trends, growth factors and opportunities
6.4.2. Market size and forecast, by region
6.4.3. Market analysis by country
6.5. RETAIL
6.5.1. Key market trends, growth factors and opportunities
6.5.2. Market size and forecast, by region
6.5.3. Market analysis by country
6.6. HEALTHCARE
6.6.1. Key market trends, growth factors and opportunities
6.6.2. Market size and forecast, by region
6.6.3. Market analysis by country
6.7. AUTOMOTIVE
6.7.1. Key market trends, growth factors and opportunities
6.7.2. Market size and forecast, by region
6.7.3. Market analysis by country
6.8. OTHERS
6.8.1. Key market trends, growth factors and opportunities
6.8.2. Market size and forecast, by region
6.8.3. Market analysis by country

CHAPTER 7: MACHINE LEARNING CHIP MARKET, BY REGION
7.1. OVERVIEW
7.2. NORTH AMERICA
7.2.1. Key market trends, growth factors, and opportunities
7.2.2. Market size and forecast, by chip type
7.2.3. Market size and forecast, by technology
7.2.4. Market size and forecast, by industry vertical
7.2.5. Market analysis by country
7.2.5.1. U.S.
7.2.5.1.1. Market size and forecast, by chip type
7.2.5.1.2. Market size and forecast, by technology
7.2.5.1.3. Market size and forecast, by industry vertical
7.2.5.2. Canada
7.2.5.2.1. Market size and forecast, by chip type
7.2.5.2.2. Market size and forecast, by technology
7.2.5.2.3. Market size and forecast, by industry vertical
7.2.5.3. Mexico
7.2.5.3.1. Market size and forecast, by chip type
7.2.5.3.2. Market size and forecast, by technology
7.2.5.3.3. Market size and forecast, by industry vertical
7.3. EUROPE

7.3.1. Key market trends, growth factors, and opportunities
7.3.2. Market size and forecast, by chip type
7.3.3. Market size and forecast, by technology
7.3.4. Market size and forecast, by industry vertical
7.3.5. Market analysis by country
7.3.5.1. U.K.
7.3.5.1.1. Market size and forecast, by chip type
7.3.5.1.2. Market size and forecast, by technology
7.3.5.1.3. Market size and forecast, by industry vertical
7.3.5.2. Germany
7.3.5.2.1. Market size and forecast, by chip type
7.3.5.2.2. Market size and forecast, by technology
7.3.5.2.3. Market size and forecast, by industry vertical
7.3.5.3. France
7.3.5.3.1. Market size and forecast, by chip type
7.3.5.3.2. Market size and forecast, by technology
7.3.5.3.3. Market size and forecast, by industry vertical

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