세계의 딥러닝 칩 시장 규모 조사 : 칩 유형별, 기술별, 산업별, 지역별 예측(2022-2032년)

Global Deep Learning Chip Market was valued at approximately USD 11.05 billion in 2023 and is expected to grow at a robust CAGR of 35.27% over the forecast period from 2024 to 2032. Deep learning chips are specialized hardware designed to accelerate artificial intelligence (AI) tasks, particularly deep learning algorithms. These chips optimize complex computations involved in neural networks, enhancing performance and efficiency. Key features include parallel processing capabilities, high memory bandwidth, and low power consumption. Major players in this market include NVIDIA, Intel, and Google, each developing advanced chips for various applications like autonomous vehicles, medical imaging, and natural language processing. The increasing demand for AI-driven solutions fuels the rapid growth of the deep learning chip industry.

The Global Deep Learning Chip Market is driven by the advent of quantum computing and the increasing deployment of deep learning chips in robotics. the growing integration of deep learning chips in robotics enhances their ability to process complex data and perform sophisticated tasks, driving market expansion. These chips enable robots to learn from data, adapt to new situations, and improve performance over time, making them crucial in industries such as manufacturing, healthcare, and autonomous systems. This dual influence significantly boosts the market's growth trajectory. Moreover, rising number of autonomous robots, capable of self-development and autonomous control, presents significant growth opportunities. However, the industry faces challenges such as a shortage of skilled professionals. Tasks such as testing, bug fixing, and cloud implementation, primarily managed by deep learning chips, suffer from a lack of requisite expertise.

The key regions considered for the Global Deep Learning Chip Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, Asia-Pacific region is projected to exhibit the highest CAGR during the forecast period, indicating a rapid adoption and integration of deep learning technologies in various applications. This growth is driven by increasing investments in artificial intelligence, expanding technological infrastructure, and rising demand for advanced analytics in industries such as healthcare, automotive, and finance. Key markets such as China, India, Japan, and Australia are leading this trend, leveraging deep learning to enhance innovation and efficiency in their respective sectors.

Major market players include in report are:

• Alphabet Inc
• Qualcomm Incorporated
• Xilinx, Inc.
• Bitmain Technologies Ltd.
• Advanced Micro Devices, Inc.
• Intel Corporation
• NVIDIA Corporation
• Baidu, Inc.
• Amazon.com, Inc.
• Samsung Electronics Co. Ltd.

The detailed segments and sub-segments of the market are explained below:

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
• Others

By Region:

• North America
• U.S.
• Canada
• Europe
• UK
• Germany
• France
• Spain
• Italy
• ROE
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• RoAPAC
• Latin America
• Brazil
• Mexico
• RoLA
• Middle East & Africa
• Saudi Arabia
• South Africa
• RoMEA

Years considered for the study are as follows:

• Historical year - 2022
• Base year - 2023
• Forecast period - 2024 to 2032

Key Takeaways:

• Market Estimates & Forecast for 10 years from 2022 to 2032.
• Annualized revenues and regional level analysis for each market segment.
• Detailed analysis of geographical landscape with Country level analysis of major regions.
• Competitive landscape with information on major players in the market.
• Analysis of key business strategies and recommendations on future market approach.
• Analysis of competitive structure of the market.
• Demand side and supply side analysis of the market

Table of Contents

Chapter 1. Global Deep Learning Chip Market Executive Summary

• 1.1. Global Deep Learning Chip Market Size & Forecast (2022-2032)
• 1.2. Regional Summary
• 1.3. Segmental Summary
  • 1.3.1. By Chip Type
  • 1.3.2. By Technology
  • 1.3.3. By Industry Vertical
• 1.4. Key Trends
• 1.5. Recession Impact
• 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Deep Learning Chip Market Definition and Research Assumptions

• 2.1. Research Objective
• 2.2. Market Definition
• 2.3. Research Assumptions
  • 2.3.1. Inclusion & Exclusion
  • 2.3.2. Limitations
  • 2.3.3. Supply Side Analysis
    • 2.3.3.1. Availability
    • 2.3.3.2. Infrastructure
    • 2.3.3.3. Regulatory Environment
    • 2.3.3.4. Market Competition
    • 2.3.3.5. Economic Viability (Consumer's Perspective)
  • 2.3.4. Demand Side Analysis
    • 2.3.4.1. Regulatory frameworks
    • 2.3.4.2. Technological Advancements
    • 2.3.4.3. Environmental Considerations
    • 2.3.4.4. Consumer Awareness & Acceptance
• 2.4. Estimation Methodology
• 2.5. Years Considered for the Study
• 2.6. Currency Conversion Rates

Chapter 3. Global Deep Learning Chip Market Dynamics

• 3.1. Market Drivers
  • 3.1.1. Emergence of Quantum Computing
  • 3.1.2. Enhanced Implementation in Robotics
• 3.2. Market Challenges
  • 3.2.1. Dearth of Skilled Workforce
• 3.3. Market Opportunities
  • 3.3.1. Emergence of Autonomous Robots
  • 3.3.2. Growing Adoption in Various Industries

Chapter 4. Global Deep Learning Chip Market Industry Analysis

• 4.1. Porter's 5 Force Model
  • 4.1.1. Bargaining Power of Suppliers
  • 4.1.2. Bargaining Power of Buyers
  • 4.1.3. Threat of New Entrants
  • 4.1.4. Threat of Substitutes
  • 4.1.5. Competitive Rivalry
  • 4.1.6. Futuristic Approach to Porter's 5 Force Model
  • 4.1.7. Porter's 5 Force Impact Analysis
• 4.2. PESTEL Analysis
  • 4.2.1. Political
  • 4.2.2. Economical
  • 4.2.3. Social
  • 4.2.4. Technological
  • 4.2.5. Environmental
  • 4.2.6. Legal
• 4.3. Top investment opportunity
• 4.4. Top winning strategies
• 4.5. Disruptive Trends
• 4.6. Industry Expert Perspective
• 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Deep Learning Chip Market Size & Forecasts by Chip Type 2022-2032

• 5.1. Segment Dashboard
• 5.2. Global Deep Learning Chip Market: Chip Type Revenue Trend Analysis, 2022 & 2032 (USD Billion)
  • 5.2.1. GPU
  • 5.2.2. ASIC
  • 5.2.3. FPGA
  • 5.2.4. CPU
  • 5.2.5. Others

Chapter 6. Global Deep Learning Chip Market Size & Forecasts by Technology 2022-2032

• 6.1. Segment Dashboard
• 6.2. Global Deep Learning Chip Market: Technology Revenue Trend Analysis, 2022 & 2032 (USD Billion)
  • 6.2.1. System-on-chip (SoC)
  • 6.2.2. System-in-package (SIP)
  • 6.2.3. Multi-chip module
  • 6.2.4. Others

Chapter 7. Global Deep Learning Chip Market Size & Forecasts by Industry Vertical 2022-2032

• 7.1. Segment Dashboard
• 7.2. Global Deep Learning Chip Market: Industry Vertical Revenue Trend Analysis, 2022 & 2032 (USD Billion)
  • 7.2.1. Media & Advertising
  • 7.2.2. BFSI
  • 7.2.3. IT & Telecom
  • 7.2.4. Retail
  • 7.2.5. Healthcare
  • 7.2.6. Automotive
  • 7.2.7. Others

Chapter 8. Global Deep Learning Chip Market Size & Forecasts by Region 2022-2032

• 8.1. North America Deep Learning Chip Market
  • 8.1.1. U.S. Deep Learning Chip Market
    • 8.1.1.1. Chip Type breakdown size & forecasts, 2022-2032
    • 8.1.1.2. Technology breakdown size & forecasts, 2022-2032
    • 8.1.1.3. Industry Vertical breakdown size & forecasts, 2022-2032
  • 8.1.2. Canada Deep Learning Chip Market
• 8.2. Europe Deep Learning Chip Market
  • 8.2.1. U.K. Deep Learning Chip Market
  • 8.2.2. Germany Deep Learning Chip Market
  • 8.2.3. France Deep Learning Chip Market
  • 8.2.4. Spain Deep Learning Chip Market
  • 8.2.5. Italy Deep Learning Chip Market
  • 8.2.6. Rest of Europe Deep Learning Chip Market
• 8.3. Asia-Pacific Deep Learning Chip Market
  • 8.3.1. China Deep Learning Chip Market
  • 8.3.2. India Deep Learning Chip Market
  • 8.3.3. Japan Deep Learning Chip Market
  • 8.3.4. Australia Deep Learning Chip Market
  • 8.3.5. South Korea Deep Learning Chip Market
  • 8.3.6. Rest of Asia Pacific Deep Learning Chip Market
• 8.4. Latin America Deep Learning Chip Market
  • 8.4.1. Brazil Deep Learning Chip Market
  • 8.4.2. Mexico Deep Learning Chip Market
  • 8.4.3. Rest of Latin America Deep Learning Chip Market
• 8.5. Middle East & Africa Deep Learning Chip Market
  • 8.5.1. Saudi Arabia Deep Learning Chip Market
  • 8.5.2. South Africa Deep Learning Chip Market
  • 8.5.3. Rest of Middle East & Africa Deep Learning Chip Market

Chapter 9. Competitive Intelligence

• 9.1. Key Company SWOT Analysis
• 9.2. Top Market Strategies
• 9.3. Company Profiles
  • 9.3.1. Alphabet Inc
    • 9.3.1.1. Key Information
    • 9.3.1.2. Overview
    • 9.3.1.3. Financial (Subject to Data Availability)
    • 9.3.1.4. Product Summary
    • 9.3.1.5. Market Strategies
  • 9.3.2. Qualcomm Incorporated
  • 9.3.3. Xilinx, Inc.
  • 9.3.4. Bitmain Technologies Ltd.
  • 9.3.5. Advanced Micro Devices, Inc.
  • 9.3.6. Intel Corporation
  • 9.3.7. NVIDIA Corporation
  • 9.3.8. Baidu, Inc.
  • 9.3.9. Amazon.com, Inc.
  • 9.3.10. Samsung Electronics Co. Ltd.

Chapter 10. Research Process

• 10.1. Research Process
  • 10.1.1. Data Mining
  • 10.1.2. Analysis
  • 10.1.3. Market Estimation
  • 10.1.4. Validation
  • 10.1.5. Publishing
• 10.2. Research Attributes