Deep Learning Chipset Market - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2031 - By Product, Technology, Grade, Application, End-user, Region: (North America, Europe, Asia Pacific, Latin America and Middle East and Africa)

Best Price Guarantee	Length	Publisher	Published Date	SKU
from $4,995	250 Pages	Fairfield Market Research	February, 2024	FCSL18560641

Best Price Guarantee
Price	from $4,995
Length	250 Pages
Publisher	Fairfield Market Research
Published Date	February, 2024
SKU	FCSL18560641

Deep Learning Chipset Market - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2031 - By Product, Technology, Grade, Application, End-user, Region: (North America, Europe, Asia Pacific, Latin America and Middle East and Africa)

Emerging Technologies and Growing Demand Drive Remarkable Growth

The global deep learning chipset market is poised for substantial expansion, with forecasts suggesting it will surge at a remarkable CAGR of 31.0% from 2024 to 2031, reaching a valuation of US$ 65 billion. According to comprehensive market research provided by fairfield Market Research, the market, which was valued at US$ 10 billion in 2024, is being driven by a myriad of factors including the pervasive use of artificial intelligence across various industries, advancements in quantum mechanics, and the burgeoning global gaming sector.

Rising Demand Across Industries

Deep learning technology is increasingly being adopted across diverse industries such as healthcare, automotive, consumer electronics, and aerospace & defense. Corporations are leveraging deep learning and machine learning models to decipher consumer behavior, utilizing vast volumes of data to gain valuable insights.

Smart Home Appliances Revolution

A significant driver of market growth is the rising popularity of smart home appliances globally. With an increasing number of households embracing smart devices such as smart speakers, smart bulbs, and smart thermostats, the demand for deep learning chips embedded within these appliances is experiencing a surge. The number of smart homes worldwide is expected to reach around 478 million by 2025, further propelling market expansion.

Regional Insights

North America Leading the Charge

North America, particularly the United States, is at the forefront of the deep learning chipset market, with a market size expected to surpass US$ 30 billion by 2031. This growth is attributed to the widespread adoption of deep learning in cloud computing across various industries and the increasing prevalence of smart home appliances.

United Kingdom's Smart Home Market Potential

In the United Kingdom, the deep learning chipset market is projected to reach US$ 3.5 billion by 2031. With a steady increase in the adoption of smart home appliances, the UK market presents significant opportunities for growth, with an estimated 29 million households expected to have smart devices installed by 2027.

China and South Korea on the Rise

China and South Korea are emerging as key players in the deep learning chipset market, driven by the rising demand for smart home devices and increasing disposable income among consumers. China's market is expected to be worth US$ 6 billion by 2031, while South Korea's market is projected to reach US$ 2.8 billion in the same period.

Category-wise Insights

GPU Dominance and SOC's Potential

Graphics processing units (GPUs) are anticipated to witness significant growth, driven by advancements in high-performance computing, blockchain, and cryptocurrency mining. Additionally, system-on-chip (SOC) segments are expected to lead the market, fueled by the rising need for smart and power-efficient electronic devices and the increasing adoption of the internet of things.

Competitive Analysis

Key players in the deep learning chipset industry are focusing on providing comprehensive flagship offerings and delivering consistent client experiences across various industries. The market is expected to witness numerous mergers & acquisitions and product launches in the coming years as companies strive to maintain a competitive edge.

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.

Global Deep Learning Chipset Market Outlook by Category

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

Please note: The PDF e-mail from publisher version of this report is for a global site license. Delivery Timelines - 5 working days.

1. Executive Summary: 1.1. Global Deep Learning Chipset Market Snapshot; 1.2. Future Projections; 1.3. Key Market Trends; 1.4. Regional Snapshot, by Value, 2023; 1.5. Analyst Recommendations
2. Market Overview: 2.1. Market Definitions and Segmentations; 2.2. Market Dynamics; 2.2.1. Drivers; 2.2.2. Restraints; 2.2.3. Market Opportunities; 2.3. Value Chain Analysis; 2.4. Porter’s Five Forces Analysis; 2.5. COVID-19 Impact Analysis; 2.5.1. Supply; 2.5.2. Demand; 2.6. Impact of Ukraine-Russia Conflict; 2.7. Economic Overview; 2.7.1. World Economic Projections; 2.8. PESTLE Analysis
3. Global Deep Learning Chipset Market Outlook, 2018 – 2031: 3.1. Global Deep Learning Chipset Market Outlook, by Type, Value (US$ Bn), 2018 – 2031; 3.1.1. Key Highlights; 3.1.1.1. Central Processing Units (CPUs); 3.1.1.2. Graphics Processing Units (GPUs); 3.1.1.3. Field Programmable Gate Arrays (FPGAs); 3.1.1.4. Application-Specific Integrated Circuits (ASICS); 3.1.1.5. Others (NPU & Hybrid Chip); 3.2. Global Deep Learning Chipset Market Outlook, by Technology, Value (US$ Bn), 2018 – 2031; 3.2.1. Key Highlights; 3.2.1.1. System-on-chip (SOC); 3.2.1.2. System-in-package (SIP); 3.2.1.3. Multi-Chip Module; 3.3. Global Deep Learning Chipset Market Outlook, by Region, Value (US$ Bn), 2018 – 2031; 3.3.1. Key Highlights; 3.3.1.1. North America; 3.3.1.2. Europe; 3.3.1.3. Asia Pacific; 3.3.1.4. Latin America; 3.3.1.5. Middle East & Africa
4. North America Deep Learning Chipset Market Outlook, 2018 – 2031: 4.1. North America Deep Learning Chipset Market Outlook, by Type, Value (US$ Bn), 2018 – 2031; 4.1.1. Key Highlights; 4.1.1.1. Central Processing Units (CPUs); 4.1.1.2. Graphics Processing Units (GPUs); 4.1.1.3. Field Programmable Gate Arrays (FPGAs); 4.1.1.4. Application-Specific Integrated Circuits (ASICS); 4.1.1.5. Others (NPU & Hybrid Chip); 4.2. North America Deep Learning Chipset Market Outlook, by Technology, Value (US$ Bn), 2018 – 2031; 4.2.1. Key Highlights; 4.2.1.1. System-on-chip (SOC); 4.2.1.2. System-in-package (SIP); 4.2.1.3. Multi-Chip Module; 4.3. North America Deep Learning Chipset Market Outlook, by Country, Value (US$ Bn), 2018 – 2031; 4.3.1. Key Highlights; 4.3.1.1. U.S. Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 4.3.1.2. U.S. Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 4.3.1.3. Canada Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 4.3.1.4. Canada Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 4.3.2. BPS Analysis/Market Attractiveness Analysis
5. Europe Deep Learning Chipset Market Outlook, 2018 – 2031: 5.1. Europe Deep Learning Chipset Market Outlook, by Type, Value (US$ Bn), 2018 – 2031; 5.1.1. Key Highlights; 5.1.1.1. Central Processing Units (CPUs); 5.1.1.2. Graphics Processing Units (GPUs); 5.1.1.3. Field Programmable Gate Arrays (FPGAs); 5.1.1.4. Application-Specific Integrated Circuits (ASICS); 5.1.1.5. Others (NPU & Hybrid Chip); 5.2. Europe Deep Learning Chipset Market Outlook, by Technology, Value (US$ Bn), 2018 – 2031; 5.2.1. Key Highlights; 5.2.1.1. System-on-chip (SOC); 5.2.1.2. System-in-package (SIP); 5.2.1.3. Multi-Chip Module; 5.2.2. BPS Analysis/Market Attractiveness Analysis; 5.3. Europe Deep Learning Chipset Market Outlook, by Country, Value (US$ Bn), 2018 – 2031; 5.3.1. Key Highlights; 5.3.1.1. Germany Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 5.3.1.2. Germany Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 5.3.1.3. U.K. Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 5.3.1.4. U.K. Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 5.3.1.5. France Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 5.3.1.6. France Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 5.3.1.7. Italy Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 5.3.1.8. Italy Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 5.3.1.9. Turkey Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 5.3.1.10. Turkey Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 5.3.1.11. Russia Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 5.3.1.12. Russia Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 5.3.1.13. Rest of Europe Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 5.3.1.14. Rest of Europe Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 5.3.2. BPS Analysis/Market Attractiveness Analysis
6. Asia Pacific Deep Learning Chipset Market Outlook, 2018 – 2031: 6.1. Asia Pacific Deep Learning Chipset Market Outlook, by Type, Value (US$ Bn), 2018 – 2031; 6.1.1. Key Highlights; 6.1.1.1. Central Processing Units (CPUs); 6.1.1.2. Graphics Processing Units (GPUs); 6.1.1.3. Field Programmable Gate Arrays (FPGAs); 6.1.1.4. Application-Specific Integrated Circuits (ASICS); 6.1.1.5. Others (NPU & Hybrid Chip); 6.2. Asia Pacific Deep Learning Chipset Market Outlook, by Technology, Value (US$ Bn), 2018 – 2031; 6.2.1. Key Highlights; 6.2.1.1. System-on-chip (SOC); 6.2.1.2. System-in-package (SIP); 6.2.1.3. Multi-Chip Module; 6.2.2. BPS Analysis/Market Attractiveness Analysis; 6.3. Asia Pacific Deep Learning Chipset Market Outlook, by Country, Value (US$ Bn), 2018 – 2031; 6.3.1. Key Highlights; 6.3.1.1. China Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 6.3.1.2. China Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 6.3.1.3. Japan Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 6.3.1.4. Japan Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 6.3.1.5. South Korea Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 6.3.1.6. South Korea Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 6.3.1.7. India Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 6.3.1.8. India Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 6.3.1.9. Southeast Asia Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 6.3.1.10. Southeast Asia Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 6.3.1.11. Rest of Asia Pacific Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 6.3.1.12. Rest of Asia Pacific Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 6.3.2. BPS Analysis/Market Attractiveness Analysis
7. Latin America Deep Learning Chipset Market Outlook, 2018 – 2031: 7.1. Latin America Deep Learning Chipset Market Outlook, by Type, Value (US$ Bn), 2018 – 2031; 7.1.1. Key Highlights; 7.1.1.1. Central Processing Units (CPUs); 7.1.1.2. Graphics Processing Units (GPUs); 7.1.1.3. Field Programmable Gate Arrays (FPGAs); 7.1.1.4. Application-Specific Integrated Circuits (ASICS); 7.1.1.5. Others (NPU & Hybrid Chip); 7.2. Latin America Deep Learning Chipset Market Outlook, by Technology, Value (US$ Bn), 2018 – 2031; 7.2.1.1. System-on-chip (SOC); 7.2.1.2. System-in-package (SIP); 7.2.1.3. Multi-Chip Module; 7.2.2. BPS Analysis/Market Attractiveness Analysis; 7.3. Latin America Deep Learning Chipset Market Outlook, by Country, Value (US$ Bn), 2018 – 2031; 7.3.1. Key Highlights; 7.3.1.1. Brazil Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 7.3.1.2. Brazil Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 7.3.1.3. Mexico Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 7.3.1.4. Mexico Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 7.3.1.5. Argentina Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 7.3.1.6. Argentina Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 7.3.1.7. Rest of Latin America Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 7.3.1.8. Rest of Latin America Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 7.3.2. BPS Analysis/Market Attractiveness Analysis
8. Middle East & Africa Deep Learning Chipset Market Outlook, 2018 – 2031: 8.1. Middle East & Africa Deep Learning Chipset Market Outlook, by Type, Value (US$ Bn), 2018 – 2031; 8.1.1. Key Highlights; 8.1.1.1. Central Processing Units (CPUs); 8.1.1.2. Graphics Processing Units (GPUs); 8.1.1.3. Field Programmable Gate Arrays (FPGAs); 8.1.1.4. Application-Specific Integrated Circuits (ASICS); 8.1.1.5. Others (NPU & Hybrid Chip); 8.2. Middle East & Africa Deep Learning Chipset Market Outlook, by Technology, Value (US$ Bn), 2018 – 2031; 8.2.1. Key Highlights; 8.2.1.1. System-on-chip (SOC); 8.2.1.2. System-in-package (SIP); 8.2.1.3. Multi-Chip Module; 8.2.2. BPS Analysis/Market Attractiveness Analysis; 8.3. Middle East & Africa Deep Learning Chipset Market Outlook, by Country, Value (US$ Bn), 2018 – 2031; 8.3.1. Key Highlights; 8.3.1.1. GCC Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 8.3.1.2. GCC Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 8.3.1.3. South Africa Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 8.3.1.4. South Africa Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 8.3.1.5. Egypt Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 8.3.1.6. Egypt Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 8.3.1.7. Nigeria Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 8.3.1.8. Nigeria Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 8.3.1.9. Rest of Middle East & Africa Deep Learning Chipset Market by Type, Value (US$ Bn), 2018 – 2031; 8.3.1.10. Rest of Middle East & Africa Deep Learning Chipset Market by Technology, Value (US$ Bn), 2018 – 2031; 8.3.2. BPS Analysis/Market Attractiveness Analysis
9. Competitive Landscape: 9.1. Manufacturer vs by Technology Heatmap; 9.2. Company Market Share Analysis, 2023; 9.3. Competitive Dashboard; 9.4. Company Profiles; 9.4.1. Alphabet Inc.; 9.4.1.1. Company Overview; 9.4.1.2. Type Portfolio; 9.4.1.3. Financial Overview; 9.4.1.4. Business Strategies and Development; 9.4.2. Amazon.com, Inc.; 9.4.2.1. Company Overview; 9.4.2.2. Type Portfolio; 9.4.2.3. Financial Overview; 9.4.2.4. Business Strategies and Development; 9.4.3. Advanced Micro Devices, Inc.; 9.4.3.1. Company Overview; 9.4.3.2. Type Portfolio; 9.4.3.3. Financial Overview; 9.4.3.4. Business Strategies and Development; 9.4.4. Baidu, Inc.; 9.4.4.1. Company Overview; 9.4.4.2. Type Portfolio; 9.4.4.3. Financial Overview; 9.4.4.4. Business Strategies and Development; 9.4.5. Bitmain Technologies Ltd.; 9.4.5.1. Company Overview; 9.4.5.2. Type Portfolio; 9.4.5.3. Financial Overview; 9.4.5.4. Business Strategies and Development; 9.4.6. Intel Corporation; 9.4.6.1. Company Overview; 9.4.6.2. Type Portfolio; 9.4.6.3. Financial Overview; 9.4.6.4. Business Strategies and Development; 9.4.7. Nvidia Corporation; 9.4.7.1. Company Overview; 9.4.7.2. Type Portfolio; 9.4.7.3. Financial Overview; 9.4.7.4. Business Strategies and Development; 9.4.8. Qualcomm Incorporated; 9.4.8.1. Company Overview; 9.4.8.2. Type Portfolio; 9.4.8.3. Financial Overview; 9.4.8.4. Business Strategies and Development; 9.4.9. Samsung Electronics Co. Ltd.; 9.4.9.1. Company Overview; 9.4.9.2. Type Portfolio; 9.4.9.3. Financial Overview; 9.4.9.4. Business Strategies and Development; 9.4.10. Xilinx, Inc; 9.4.10.1. Company Overview; 9.4.10.2. Type Portfolio; 9.4.10.3. Financial Overview; 9.4.10.4. Business Strategies and Development
10. Appendix: 10.1. Research Methodology; 10.2. Report Assumptions; 10.3. Acronyms and Abbreviations

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