세계의 딥러닝 칩셋 시장 : 산업 분석, 시장 규모, 점유율, 성장, 동향, 예측(2025-2032년)

Persistence Market Research has recently released a comprehensive report on the worldwide market for deep learning chipsets. The report offers a thorough assessment of crucial market dynamics, including drivers, trends, opportunities, and challenges, providing detailed insights into the market structure. This research publication presents exclusive data and statistics outlining the anticipated growth trajectory of the global deep learning chipset market from 2025 to 2032.

Key Insights:

• Deep Learning Chipset Market Size (2025E): USD 6,726.3 Million
• Projected Market Value (2032F): USD 36,040.9 Million
• Global Market Growth Rate (CAGR 2025 to 2032): 27.1%

Deep Learning Chipset Market - Report Scope:

Deep learning chipsets are essential components powering artificial intelligence (AI) systems, enabling real-time data processing, predictive analytics, and machine learning tasks across diverse industries. These chipsets are designed to execute complex mathematical operations efficiently, supporting neural network training and inference. The deep learning chipset market serves a wide array of end-use sectors including automotive, healthcare, finance, consumer electronics, and defense. The surge in AI-powered applications such as natural language processing, autonomous driving, and computer vision is accelerating demand for high-performance chipsets including GPUs, FPGAs, ASICs, and NPUs. Market growth is further driven by increasing AI adoption, advancements in chip architecture, and rising investment in edge computing and data center infrastructure.

Market Growth Drivers:

The global deep learning chipset market is propelled by several key factors, including the rapid proliferation of AI-based solutions across sectors and growing demand for high-speed processing capabilities. The emergence of autonomous vehicles, smart assistants, and intelligent surveillance systems has intensified the need for specialized chipsets optimized for deep learning workloads. Technological advancements such as 5nm fabrication, 3D stacking, and heterogeneous computing enable more efficient and compact chip designs, supporting wider deployment in edge devices and mobile platforms. Furthermore, increasing government and private sector investments in AI research, coupled with strategic initiatives to modernize IT infrastructure, are reinforcing market momentum globally.

Market Restraints:

Despite robust growth prospects, the deep learning chipset market faces challenges such as high development costs, power consumption concerns, and limited availability of skilled professionals for AI hardware design. The complexity of integrating deep learning hardware into legacy systems and the rapid pace of innovation may result in short product lifecycles, creating risks for manufacturers and investors. Additionally, supply chain disruptions and geopolitical tensions affecting semiconductor production can pose constraints on market availability and cost stability. Addressing these barriers requires strategic partnerships, investment in workforce development, and resilient supply chain strategies.

Market Opportunities:

The deep learning chipset market presents substantial growth opportunities fueled by the integration of AI into consumer electronics, industrial automation, and healthcare diagnostics. The rising popularity of edge AI devices such as smart cameras, drones, and wearable health monitors creates new avenues for low-latency, power-efficient chipsets. The expansion of 5G networks and cloud infrastructure further supports real-time data analytics, driving demand for AI accelerators in data centers. Moreover, emerging markets in Asia and Latin America are adopting AI technologies at an accelerating pace, opening up untapped revenue streams for chipset vendors. Innovations in quantum computing, neuromorphic chips, and open-source hardware platforms are poised to redefine competitive dynamics and unlock new possibilities.

Key Questions Answered in the Report:

• What are the primary factors driving the growth of the deep learning chipset market globally?
• Which chipset types and end-use applications are propelling demand for AI hardware solutions?
• How are advancements in chip architecture shaping the competitive landscape of the deep learning chipset market?
• Who are the key players contributing to the deep learning chipset market, and what strategies are they employing to maintain market leadership?
• What are the emerging trends and future prospects in the global deep learning chipset market?

Competitive Intelligence and Business Strategy:

These companies invest heavily in R&D to develop high-efficiency chipsets tailored to specialized AI workloads, including natural language processing, image recognition, and autonomous navigation. Strategic collaborations with cloud service providers, AI startups, and academic institutions foster co-development and accelerate time-to-market. Emphasis on software-hardware co-design, open-source frameworks, and robust developer ecosystems further enhances product adoption and customer engagement in this rapidly evolving domain.

Key Companies Profiled:

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

Deep Learning Chipset Market Research Segmentation:

The deep learning chipset market encompasses a diverse range of product types, applications, and end-use industries, addressing a broad spectrum of AI-powered solutions.

By Type:

• Central Processing Units (CPUs)
• Graphics Processing Units (GPUs)
• Field Programmable Gate Arrays (FPGAs)
• Application-Specific Integrated Circuits (ASICs)
• Others (NPU & Hybrid Chip)

By Technology:

• System-on-chip (SOC)
• System-in-package (SIP)
• Multi-Chip Module

By Region:

• North America
• Latin America
• Europe
• Asia Pacific
• Middle East and Africa

Table of Contents

1. Executive Summary

• 1.1. Global Deep Learning Chipset Market Snapshot 2025 and 2032
• 1.2. Market Opportunity Assessment, 2025-2032, US$ Mn
• 1.3. Key Market Trends
• 1.4. Industry Developments and Key Market Events
• 1.5. Demand Side and Supply Side Analysis
• 1.6. PMR Analysis and Recommendations

2. Market Overview

• 2.1. Market Scope and Definitions
• 2.2. Value Chain Analysis
• 2.3. Macro-Economic Factors
  • 2.3.1. Global GDP Outlook
  • 2.3.2. Global Construction Industry Overview
  • 2.3.3. Global Mining Industry Overview
• 2.4. Forecast Factors - Relevance and Impact
• 2.5. COVID-19 Impact Assessment
• 2.6. PESTLE Analysis
• 2.7. Porter's Five Forces Analysis
• 2.8. Geopolitical Tensions: Market Impact
• 2.9. Regulatory and Technology Landscape

3. Market Dynamics

• 3.1. Drivers
• 3.2. Restraints
• 3.3. Opportunities
• 3.4. Trends

4. Price Trend Analysis, 2019-2032

• 4.1. Region-wise Price Analysis
• 4.2. Price by Segments
• 4.3. Price Impact Factors

5. Global Deep Learning Chipset Market Outlook: Historical (2019-2024) and Forecast (2025-2032)

• 5.1. Key Highlights
• 5.2. Global Deep Learning Chipset Market Outlook: Type
  • 5.2.1. Introduction/Key Findings
  • 5.2.2. Historical Market Size (US$ Mn) Analysis by Type, 2019-2024
  • 5.2.3. Current Market Size (US$ Mn) Forecast, by Type, 2025-2032
    • 5.2.3.1. Central Processing Units (CPUs)
    • 5.2.3.2. Graphics Processing Units (GPUs)
    • 5.2.3.3. Field Programmable Gate Arrays (FPGAs)
    • 5.2.3.4. Application-Specific Integrated Circuits (ASICs)
    • 5.2.3.5. Others (NPU & Hybrid Chip)
  • 5.2.4. Market Attractiveness Analysis: Type
• 5.3. Global Deep Learning Chipset Market Outlook: Technology
  • 5.3.1. Introduction/Key Findings
  • 5.3.2. Historical Market Size (US$ Mn) Analysis by Technology, 2019-2024
  • 5.3.3. Current Market Size (US$ Mn) Forecast, by Technology, 2025-2032
    • 5.3.3.1. System-on-chip (SOC)
    • 5.3.3.2. System-in-package (SIP)
    • 5.3.3.3. Multi-Chip Module
  • 5.3.4. Market Attractiveness Analysis: Technology

6. Global Deep Learning Chipset Market Outlook: Region

• 6.1. Key Highlights
• 6.2. Historical Market Size (US$ Mn) Analysis by Region, 2019-2024
• 6.3. Current Market Size (US$ Mn) Forecast, by Region, 2025-2032
  • 6.3.1. North America
  • 6.3.2. Europe
  • 6.3.3. East Asia
  • 6.3.4. South Asia & Oceania
  • 6.3.5. Latin America
  • 6.3.6. Middle East & Africa
• 6.4. Market Attractiveness Analysis: Region

7. North America Deep Learning Chipset Market Outlook: Historical (2019-2024) and Forecast (2025-2032)

• 7.1. Key Highlights
• 7.2. Pricing Analysis
• 7.3. North America Market Size (US$ Mn) Forecast, by Country, 2025-2032
  • 7.3.1. U.S.
  • 7.3.2. Canada
• 7.4. North America Market Size (US$ Mn) Forecast, by Type, 2025-2032
  • 7.4.1. Central Processing Units (CPUs)
  • 7.4.2. Graphics Processing Units (GPUs)
  • 7.4.3. Field Programmable Gate Arrays (FPGAs)
  • 7.4.4. Application-Specific Integrated Circuits (ASICs)
  • 7.4.5. Others (NPU & Hybrid Chip)
• 7.5. North America Market Size (US$ Mn) Forecast, by Technology, 2025-2032
  • 7.5.1. System-on-chip (SOC)
  • 7.5.2. System-in-package (SIP)
  • 7.5.3. Multi-Chip Module

8. Europe Deep Learning Chipset Market Outlook: Historical (2019-2024) and Forecast (2025-2032)

• 8.1. Key Highlights
• 8.2. Pricing Analysis
• 8.3. Europe Market Size (US$ Mn) Forecast, by Country, 2025-2032
  • 8.3.1. Germany
  • 8.3.2. Italy
  • 8.3.3. France
  • 8.3.4. U.K.
  • 8.3.5. Spain
  • 8.3.6. Russia
  • 8.3.7. Rest of Europe
• 8.4. Europe Market Size (US$ Mn) Forecast, by Type, 2025-2032
  • 8.4.1. Central Processing Units (CPUs)
  • 8.4.2. Graphics Processing Units (GPUs)
  • 8.4.3. Field Programmable Gate Arrays (FPGAs)
  • 8.4.4. Application-Specific Integrated Circuits (ASICs)
  • 8.4.5. Others (NPU & Hybrid Chip)
• 8.5. Europe Market Size (US$ Mn) Forecast, by Technology, 2025-2032
  • 8.5.1. System-on-chip (SOC)
  • 8.5.2. System-in-package (SIP)
  • 8.5.3. Multi-Chip Module

9. East Asia Deep Learning Chipset Market Outlook: Historical (2019-2024) and Forecast (2025-2032)

• 9.1. Key Highlights
• 9.2. Pricing Analysis
• 9.3. East Asia Market Size (US$ Mn) Forecast, by Country, 2025-2032
  • 9.3.1. China
  • 9.3.2. Japan
  • 9.3.3. South Korea
• 9.4. East Asia Market Size (US$ Mn) Forecast, by Type, 2025-2032
  • 9.4.1. Central Processing Units (CPUs)
  • 9.4.2. Graphics Processing Units (GPUs)
  • 9.4.3. Field Programmable Gate Arrays (FPGAs)
  • 9.4.4. Application-Specific Integrated Circuits (ASICs)
  • 9.4.5. Others (NPU & Hybrid Chip)
• 9.5. East Asia Market Size (US$ Mn) Forecast, by Technology, 2025-2032
  • 9.5.1. System-on-chip (SOC)
  • 9.5.2. System-in-package (SIP)
  • 9.5.3. Multi-Chip Module

10. South Asia & Oceania Deep Learning Chipset Market Outlook: Historical (2019-2024) and Forecast (2025-2032)

• 10.1. Key Highlights
• 10.2. Pricing Analysis
• 10.3. South Asia & Oceania Market Size (US$ Mn) Forecast, by Country, 2025-2032
  • 10.3.1. India
  • 10.3.2. Southeast Asia
  • 10.3.3. ANZ
  • 10.3.4. Rest of SAO
• 10.4. South Asia & Oceania Market Size (US$ Mn) Forecast, by Type, 2025-2032
  • 10.4.1. Central Processing Units (CPUs)
  • 10.4.2. Graphics Processing Units (GPUs)
  • 10.4.3. Field Programmable Gate Arrays (FPGAs)
  • 10.4.4. Application-Specific Integrated Circuits (ASICs)
  • 10.4.5. Others (NPU & Hybrid Chip)
• 10.5. South Asia & Oceania Market Size (US$ Mn) Forecast, by Technology, 2025-2032
  • 10.5.1. System-on-chip (SOC)
  • 10.5.2. System-in-package (SIP)
  • 10.5.3. Multi-Chip Module

11. Latin America Deep Learning Chipset Market Outlook: Historical (2019-2024) and Forecast (2025-2032)

• 11.1. Key Highlights
• 11.2. Pricing Analysis
• 11.3. Latin America Market Size (US$ Mn) Forecast, by Country, 2025-2032
  • 11.3.1. Brazil
  • 11.3.2. Mexico
  • 11.3.3. Rest of LATAM
• 11.4. Latin America Market Size (US$ Mn) Forecast, by Type, 2025-2032
  • 11.4.1. Central Processing Units (CPUs)
  • 11.4.2. Graphics Processing Units (GPUs)
  • 11.4.3. Field Programmable Gate Arrays (FPGAs)
  • 11.4.4. Application-Specific Integrated Circuits (ASICs)
  • 11.4.5. Others (NPU & Hybrid Chip)
• 11.5. Latin America Market Size (US$ Mn) Forecast, by Technology, 2025-2032
  • 11.5.1. System-on-chip (SOC)
  • 11.5.2. System-in-package (SIP)
  • 11.5.3. Multi-Chip Module

12. Middle East & Africa Deep Learning Chipset Market Outlook: Historical (2019-2024) and Forecast (2025-2032)

• 12.1. Key Highlights
• 12.2. Pricing Analysis
• 12.3. Middle East & Africa Market Size (US$ Mn) Forecast, by Country, 2025-2032
  • 12.3.1. GCC Countries
  • 12.3.2. South Africa
  • 12.3.3. Northern Africa
  • 12.3.4. Rest of MEA
• 12.4. Middle East & Africa Market Size (US$ Mn) Forecast, by Type, 2025-2032
  • 12.4.1. Central Processing Units (CPUs)
  • 12.4.2. Graphics Processing Units (GPUs)
  • 12.4.3. Field Programmable Gate Arrays (FPGAs)
  • 12.4.4. Application-Specific Integrated Circuits (ASICs)
  • 12.4.5. Others (NPU & Hybrid Chip)
• 12.5. Middle East & Africa Market Size (US$ Mn) Forecast, by Technology, 2025-2032
  • 12.5.1. System-on-chip (SOC)
  • 12.5.2. System-in-package (SIP)
  • 12.5.3. Multi-Chip Module

13. Competition Landscape

• 13.1. Market Share Analysis, 2025
• 13.2. Market Structure
  • 13.2.1. Competition Intensity Mapping
  • 13.2.2. Competition Dashboard
• 13.3. Company Profiles
  • 13.3.1. Alphabet Inc.
    • 13.3.1.1. Company Overview
    • 13.3.1.2. Product Portfolio/Offerings
    • 13.3.1.3. Key Financials
    • 13.3.1.4. SWOT Analysis
    • 13.3.1.5. Company Strategy and Key Developments
  • 13.3.2. Amazon.Com, Inc.
  • 13.3.3. Advanced Micro Devices, Inc.
  • 13.3.4. Baidu, Inc.
  • 13.3.5. Bitmain Technologies Ltd.
  • 13.3.6. Intel Corporation
  • 13.3.7. Nvidia Corporation
  • 13.3.8. Qualcomm Incorporated
  • 13.3.9. Samsung Electronics Co. Ltd.
  • 13.3.10. Xilinx, Inc

14. Appendix

• 14.1. Research Methodology
• 14.2. Research Assumptions
• 14.3. Acronyms and Abbreviations