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Deep Learning Chip Market by Chip Type, Technology, and Industry Vertical - Global Opportunity Analysis and Industry Forecast, 2018-2025

  • ID: 4612825
  • Report
  • Region: Global
  • 360 pages
  • Allied Analytics LLP
1 of 5

FEATURED COMPANIES

  • Amazon.Com, Inc.
  • Baidu, Inc.
  • Bitmain Technologies Ltd.
  • Google, Inc.
  • Intel Corporation
  • Nvidia Corporation
  • MORE
Deep learning is a new nomenclature for the artificial neural networks technology. This technology is a computer program, which is similar to a biological brain. The brain is made up of billions of cells known as neurons, which are connected with the help of pathways called synapses. New observations and experiences alter the strength of these synaptic connections. With these new collections of observations and experience, the strength of the connections results in the learning. Deep learning transforms these structures into a software with digital versions of neurons, synapses, and connection strengths. By feeding the experience and observations to an artificial neural network and adjusting the weights accordingly, a neural network learns complex functions similar to the biological brain.

The global deep learning chip market has witnessed significant growth over the years, owing to increase in efforts to make more human-like robots and rise in rate of deployments in the developing regions.

The global deep learning chip market is segmented based on chip type, industry vertical, technology, and geography. On the basis of 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. System-on-chip, system-in-package, multi-chip module, and others are the technologies considered. The various industry verticals are media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others.

Geographically, the market is sub-segmented into 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 deep 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 stronger coverage 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.
Porter’s 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
Note: Product cover images may vary from those shown
2 of 5

FEATURED COMPANIES

  • Amazon.Com, Inc.
  • Baidu, Inc.
  • Bitmain Technologies Ltd.
  • Google, Inc.
  • Intel Corporation
  • Nvidia Corporation
  • MORE
CHAPTER 1: INTRODUCTION
1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS FOR STAKEHOLDERS
1.3. KEY MARKET SEGMENTS
1.4. RESEARCH METHODOLOGY
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. 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. Increase in demand for smart homes & smart cities
3.5.1.2. Rise in investments in AI startups
3.5.1.3. Emergence of quantum computing
3.5.1.4. Growth in number of AI applications
3.5.2. Restraints
3.5.2.1. Dearth of skilled workforce
3.5.3. Opportunities
3.5.3.1. Increased adoption of deep learning chips in the developing regions
3.5.3.2. Development of smarter robots

CHAPTER 4: DEEP 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: DEEP 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: DEEP 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: DEEP 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
7.3.5.4. Russia
7.3.5.4.1. Market size and forecast, by chip type
7.3.5.4.2. Market size and forecast, by technology
7.3.5.4.3. Market size and forecast, by industry vertical
7.3.5.5. Rest of Europe
7.3.5.5.1. Market size and forecast, by chip type
7.3.5.5.2. Market size and forecast, by technology
7.3.5.5.3. Market size and forecast, by industry vertical
7.4. ASIA-PACIFIC
7.4.1. Key market trends, growth factors, and opportunities
7.4.2. Market size and forecast, by chip type
7.4.3. Market size and forecast, by technology
7.4.4. Market size and forecast, by industry vertical
7.4.5. Market analysis by country
7.4.5.1. China
7.4.5.1.1. Market size and forecast, by chip type
7.4.5.1.2. Market size and forecast, by technology
7.4.5.1.3. Market size and forecast, by industry vertical
7.4.5.2. Japan
7.4.5.2.1. Market size and forecast, by chip type
7.4.5.2.2. Market size and forecast, by technology
7.4.5.2.3. Market size and forecast, by industry vertical
7.4.5.3. India
7.4.5.3.1. Market size and forecast, by chip type
7.4.5.3.2. Market size and forecast, by technology
7.4.5.3.3. Market size and forecast, by industry vertical
7.4.5.4. Australia
7.4.5.4.1. Market size and forecast, by chip type
7.4.5.4.2. Market size and forecast, by technology
7.4.5.4.3. Market size and forecast, by industry vertical
7.4.5.5. Rest of Asia-Pacific
7.4.5.5.1. Market size and forecast, by chip type
7.4.5.5.2. Market size and forecast, by technology
7.4.5.5.3. Market size and forecast, by industry vertical
7.5. LAMEA
7.5.1. Key market trends, growth factors, and opportunities
7.5.2. Market size and forecast, by chip type
7.5.3. Market size and forecast, by technology
7.5.4. Market size and forecast, by industry vertical
7.5.5. Market analysis by country
7.5.5.1. Latin America
7.5.5.1.1. Market size and forecast, by chip type
7.5.5.1.2. Market size and forecast, by technology
7.5.5.1.3. Market size and forecast, by industry vertical
7.5.5.2. Middle East
7.5.5.2.1. Market size and forecast, by chip type
7.5.5.2.2. Market size and forecast, by technology
7.5.5.2.3. Market size and forecast, by industry vertical
7.5.5.3. Africa
7.5.5.3.1. Market size and forecast, by chip type
7.5.5.3.2. Market size and forecast, by technology
7.5.5.3.3. Market size and forecast, by industry vertical

CHAPTER 8: COMPANY PROFILES
8.1. ALPHABET INC. (GOOGLE INC.)
8.1.1. Company overview
8.1.2. Company snapshot
8.1.3. Operating business segments
8.1.4. Product portfolio
8.1.5. Business performance
8.1.6. Key strategic moves and developments
8.1.7. Technological insights and key architecture
8.2. AMAZON.COM, INC.
8.2.1. Company overview
8.2.2. Company snapshot
8.2.3. Operating business segments
8.2.4. Product portfolio
8.2.5. Business performance
8.2.6. Key strategic moves and developments
8.2.7. Technological insights and key architecture
8.3. ADVANCED MICRO DEVICES, INC.
8.3.1. Company overview
8.3.2. Company snapshot
8.3.3. Operating business segments
8.3.4. Product portfolio
8.3.5. Business performance
8.3.6. Key strategic moves and developments
8.3.7. Technological insights and key architecture
8.4. BAIDU, INC.
8.4.1. Company overview
8.4.2. Company snapshot
8.4.3. Operating business segments
8.4.4. Product portfolio
8.4.5. Business performance
8.4.6. Key strategic moves and developments
8.4.7. Technological insights and key architecture
8.5. BITMAIN TECHNOLOGIES LTD.
8.5.1. Company overview
8.5.2. Company snapshot
8.5.3. Product portfolio
8.5.4. Key strategic moves and developments
8.5.5. Technological insights and key architecture
8.6. INTEL CORPORATION
8.6.1. Company overview
8.6.2. Company snapshot
8.6.3. Operating business segments
8.6.4. Product portfolio
8.6.5. Business performance
8.6.6. Key strategic moves and developments
8.6.7. Technological insights and key architecture
8.7. NVIDIA CORPORATION
8.7.1. Company overview
8.7.2. Company snapshot
8.7.3. Operating business segments
8.7.4. Product portfolio
8.7.5. Business performance
8.7.6. Key strategic moves and developments
8.7.7. Technological insights and key architecture
8.8. QUALCOMM INCORPORATED
8.8.1. Company overview
8.8.2. Company snapshot
8.8.3. Operating business segments
8.8.4. Product portfolio
8.8.5. Business performance
8.8.6. Key strategic moves and developments
8.8.7. Technological insights and key architecture
8.9. SAMSUNG ELECTRONICS CO. LTD.
8.9.1. Company overview
8.9.2. Company snapshot
8.9.3. Operating business segments
8.9.4. Product portfolio
8.9.5. Business performance
8.9.6. Key strategic moves and developments
8.9.7. Technological insights and key architecture
8.10. XILINX, INC.
8.10.1. Company overview
8.10.2. Company snapshot
8.10.3. Operating business segments
8.10.4. Product portfolio
8.10.5. Business performance
8.10.6. Key strategic moves and developments
8.10.7. Technological insights and key architecture
Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • Amazon.Com, Inc.
  • Baidu, Inc.
  • Bitmain Technologies Ltd.
  • Google, Inc.
  • Intel Corporation
  • Nvidia Corporation
  • MORE
According to a recent report published titled, Global Deep Learning Chip Market by Chip type, Technology, and Industry vertical: Global Opportunity Analysis and Industry Forecast, 2018-2025, the global deep learning chip market was valued at $1,975 million in 2017, and is projected to reach $29,368.0 million by 2025, growing at a CAGR of 39.9% from 2018 to 2025.

At present, North America dominates the market, followed by Europe. In 2017, U.S. dominated the North America market and UK led the overall market in Europe. However, in the Asia-Pacific region, Chi currently dominates the market.

Emergence of quantum computing and enhanced implementation of deep learning chips in robotics drive the growth of the global deep learning chip market considerably. In addition, emergence of autonomous robotics-robots that develop and control themselves autonomously-is anticipated to provide potential growth opportunities for the market. However, dearth of skilled workforce is one of the major restraints of the market. Most of the tasks, such as testing, bug fixing, cloud implementation, and others, are taken over by deep learning chips; however, delivery of such tasks lacks essential skillsets.

Key Findings of the Deep Learning Chip Market:

On the basis of chip type, the GPU segment led the global deep learning chip market in the year 2017. However, the ASIC segment is anticipated to overtake the GPU segment in the near future, in terms of revenue.
The North America region held the majority of market share in 2017.
By industry vertical, the BFSI segment has been domiting the global deep learning chip market in the year 2017. However, the others segment is expected to grow at the highest CAGR during the forecast period (2018-2025).
The LAMEA region is anticipated to exhibit the highest CAGR during the forecast period.
Note: Product cover images may vary from those shown
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  • Advanced Micro Devices, Inc.
  • Alphabet Inc. (Google Inc.)
  • Amazon.Com, Inc.
  • Baidu, Inc.
  • Bitmain Technologies Ltd.
  • Google, Inc.
  • Intel Corporation
  • Nvidia Corporation
  • Qualcomm Incorporated
  • Samsung Electronics Co. Ltd.
  • Xilinx
Note: Product cover images may vary from those shown
6 of 5

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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