Deep Learning Chipset Market Size by Type, Application, Technology, Compute Capacity, End-User Industry, Region – Revenue Pool Analysis, Margin Structure Assessment, Capital Flow Trends, Competitive Benchmarking & Forecast to 2030
15.7%
CAGR (2024-2030)
10.23 USD Bn.
Market Size
316
Report Pages
156
Market Tables
Overview
Global Deep Learning Chipset Market was valued USD 10.23 Bn in 2023 and is expected to reach USD 28.39 Bn by 2030, at CAGR of 15.70% during forecast period.
The report covers all the trends and technologies playing a major role in the growth of the deep learning chipset market over the forecast period. It highlights the drivers, restraints, and opportunities expected to impact market growth during this period.
Deep learning chipset technology has improved drastically in recent times owing to the increasing demand for deep learning in industries to solve problems such as computer vision and pattern recognition. Many semiconductors companies are coming up with new chipset technology to cater to the demand and innovation fueled by heavy investment is underway in the very market.
Increased adoption of cloud-based technology and deep learning usage in big data analytics are the factors driving the growth of the deep learning chipset market. Also, the Invention of computer chip, which is known as the GPU. A single-chip processor creates lighting effects and transforms objects every time a 3D scene is redrawn or graphics processing unit is turning out to be very meaningful and effective when it is being applied to types of calculations mandatory for neural nets. This, in turn, is fuelling the growth of the deep learning chipset market.
To Know About The Research Methodology :- Request Free Sample Report
Global Deep Learning Chipset Market Segment Analysis:
By type, the graphics processing units segment holds the largest xx% market share and expected to dominate the market during the forecast period. For machine learning tasks, GPUs were found to be between 10 and 100 times as fast as CPU-only machine learning solutions, depending on the exact task.
Global Deep Learning Chipset Market Regional Analysis:
North America is expected to hold the largest xx% share of the global market for the mass notification system during the forecast period. The high demand for deep learning chipsets in the North American market is attributed to the rising number of start-ups in the region. The North America deep learning chipset market by the end of the forecast period is valued to be around worth US$ xx Mn. The valuation of the APAC is expected to be around worth US$ xx Mn in terms of revenue.
The report covers a recent development in the market for deep learning chipset like in August 2018, Intel took over Nirvana Systems as well to fortify its deep learning chipset market position in the making of hardware chipsets platform.
The objective of the report is to present a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, industry-validated market data and projections with a suitable set of assumptions and methodology. The report also helps in understanding Global Deep Learning Chipset Market dynamics, structure by identifying and analyzing the market segments and project the global market size. Further, the report also focuses on the competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence. The report also provides PEST analysis, PORTER’s analysis, and SWOT analysis to address the question of shareholders to prioritizing the efforts and investment in the near future to the emerging segment in Global Deep Learning Chipset Market.
Global Deep Learning Chipset Market, Key Highlights:
• Global Deep Learning Chipset Market analysis and forecast, in terms of value.
• Comprehensive study and analysis of market drivers, restraints and opportunities influencing the growth of the Global Deep Learning Chipset Market
• Global Deep Learning Chipset Market segmentation on the basis of type, source, end-user, and region (country-wise) has been provided.
• Global Deep Learning Chipset Market strategic analysis with respect to individual growth trends, future prospects along with the contribution of various sub-market stakeholders have been considered under the scope of study.
• Global Deep Learning Chipset Market analysis and forecast for five major regions namely North America, Europe, Asia Pacific, the Middle East & Africa (MEA) and Latin America along with country-wise segmentation.
• Profiles of key industry players, their strategic perspective, market positioning and analysis of core competencies are further profiled.
• Competitive developments, investments, strategic expansion and competitive landscape of the key players operating in the Global Deep Learning Chipset Market are also profiled.
Scope of the Global Deep Learning Chipset Market: Inquire before buying
| Deep Learning Chipset Market | |||
|---|---|---|---|
| Report Coverage | Details | ||
| Base Year: | 2023 | Forecast Period: | 2024-2030 |
| Historical Data: | 2018 to 2023 | Market Size in 2023: | USD 10.23 Bn. |
| Forecast Period 2024 to 2030 CAGR: | 15.70% | Market Size in 2030: | USD 28.39 Bn. |
| Segments Covered: | 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 Application | Automotive Smart Cameras Robots Drones Mobile Phones Others |
||
| by Technology | System-on-chip (SOC) System-in-package (SIP) Multi-Chip Module OTHERS (Package in Package, TSV) |
||
| by Compute Capacity | Low (<1TFlops) High (>1TFlops) |
||
| by End-User Industry | BFSI IT & Telecom Retail Media & Advertising Healthcare Automotive Others |
||
Global Deep Learning Chipset Market, by Region
North America (United States, Canada and Mexico)
Europe (UK, France, Germany, Italy, Spain, Sweden, Austria, Turkey, Russia and Rest of Europe)
Asia Pacific (China, India, Japan, South Korea, Australia, ASEAN and Rest of APAC)
Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A)
South America (Brazil, Argentina, Columbia and Rest of South America)
Global Deep Learning Chipset Market Key Players
1. NVIDIA
2. Intel
3. IBM
4. Qualcomm
5. CEVA
6. KnuEdge
7. AMD
8. Xilinx
9. ARM
10. Google
11. Graphcore
12. TeraDeep
13. Wave Computing
14. BrainChip
15. Baidu
16. Bitmain Technologies
17. Amazon
18. Samsung
19. Huawei Technologies Co., Ltd
20. Advanced Micro Devices, Inc.
Frequently Asked Questions:
1. Which region has the largest share in Global Deep Learning Chipset Market?
Ans: North America region held the highest share in 2023.
2. What is the growth rate of Global Deep Learning Chipset Market?
Ans: The Global Deep Learning Chipset Market is growing at a CAGR of 15.70% during forecasting period 2024-2030.
3. What is scope of the Global Deep Learning Chipset Market report?
Ans: Global Deep Learning Chipset Market report helps with the PESTEL, PORTER, COVID-19 Impact analysis, Recommendations for Investors & Leaders, and market estimation of the forecast period.
4. Who are the key players in Global Deep Learning Chipset Market?
Ans: The important key players in the Global Deep Learning Chipset Market are – NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD, Xilinx, ARM, Google, Graphcore, TeraDeep, Wave Computing, BrainChip, Baidu, Bitmain Technologies, Amazon, Samsung, Huawei Technologies Co., Ltd, Advanced Micro Devices, and Inc.
5. What is the study period of this Market?
Ans: The Global Deep Learning Chipset Market is studied from 2023 to 2030.
Table of Contents
Table of Content
1. Preface
1.1. Report Scope and Market Segmentation
1.2. Research Highlights
1.3. Research Objectives
2. Assumptions and Research Methodology
2.1. Report Assumptions
2.2. Abbreviations
2.3. Research Methodology
2.3.1. Secondary Research
2.3.1.1. Secondary data
2.3.1.2. Secondary Sources
2.3.2. Primary Research
2.3.2.1. Data from Primary Sources
2.3.2.2. Breakdown of Primary Sources
3. Executive Summary: Global Deep Learning Chipset Market Size, by Market Value (US$ Bn)
4. Market Overview
4.1. Introduction
4.2. Market Indicator
4.2.1. Drivers
4.2.2. Restraints
4.2.3. Opportunities
4.2.4. Challenges
4.3. Porter’s Analysis
4.4. Value Chain Analysis
4.5. Market Risk Analysis
4.6. SWOT Analysis
4.7. Industry Trends and Emerging Technologies
5. Supply Side and Demand Side Indicators
6. Global Deep Learning Chipset Market Analysis and Forecast
6.1. Global Deep Learning Chipset Market Size & Y-o-Y Growth Analysis
6.1.1. North America
6.1.2. Europe
6.1.3. Asia Pacific
6.1.4. Middle East & Africa
6.1.5. South America
7. Global Deep Learning Chipset Market Analysis and Forecast, by Compute Capacity
7.1. Introduction and Definition
7.2. Key Findings
7.3. Global Deep Learning Chipset Market Value Share Analysis, by Compute Capacity
7.4. Global Deep Learning Chipset Market Size (US$ Bn) Forecast, by Compute Capacity
7.5. Global Deep Learning Chipset Market Analysis, by Compute Capacity
7.6. Global Deep Learning Chipset Market Attractiveness Analysis, by Compute Capacity
8. Global Deep Learning Chipset Market Analysis and Forecast, by End-User Industry
8.1. Introduction and Definition
8.2. Key Findings
8.3. Global Deep Learning Chipset Market Value Share Analysis, by End-User Industry
8.4. Global Deep Learning Chipset Market Size (US$ Bn) Forecast, by End-User Industry
8.5. Global Deep Learning Chipset Market Analysis, by End-User Industry
8.6. Global Deep Learning Chipset Market Attractiveness Analysis, by End-User Industry
9. Global Deep Learning Chipset Market Analysis and Forecast, by Type
9.1. Introduction and Definition
9.2. Key Findings
9.3. Global Deep Learning Chipset Market Value Share Analysis, by Type
9.4. Global Deep Learning Chipset Market Size (US$ Bn) Forecast, by Type
9.5. Global Deep Learning Chipset Market Analysis, by Type
9.6. Global Deep Learning Chipset Market Attractiveness Analysis, by Type
10. Global Deep Learning Chipset Market Analysis and Forecast, by Technology
10.1. Introduction and Definition
10.2. Key Findings
10.3. Global Deep Learning Chipset Market Value Share Analysis, by Technology
10.4. Global Deep Learning Chipset Market Size (US$ Bn) Forecast, by Technology
10.5. Global Deep Learning Chipset Market Analysis, by Technology
10.6. Global Deep Learning Chipset Market Attractiveness Analysis, by Technology
11. Global Deep Learning Chipset Market Analysis and Forecast, by Application
11.1. Introduction and Definition
11.2. Key Findings
11.3. Global Deep Learning Chipset Market Value Share Analysis, by Application
11.4. Global Deep Learning Chipset Market Size (US$ Bn) Forecast, by Application
11.5. Global Deep Learning Chipset Market Analysis, by Application
11.6. Global Deep Learning Chipset Market Attractiveness Analysis, by Application
12. Global Deep Learning Chipset Market Analysis, by Region
12.1. Global Deep Learning Chipset Market Value Share Analysis, by Region
12.2. Global Deep Learning Chipset Market Size (US$ Bn) Forecast, by Region
12.3. Global Deep Learning Chipset Market Attractiveness Analysis, by Region
13. North America Deep Learning Chipset Market Analysis
13.1. Key Findings
13.2. North America Deep Learning Chipset Market Overview
13.3. North America Deep Learning Chipset Market Value Share Analysis, by Compute Capacity
13.4. North America Deep Learning Chipset Market Forecast, by Compute Capacity
13.4.1. Low (<1TFlops) 13.4.2. High (>1TFlops)
13.5. North America Deep Learning Chipset Market Value Share Analysis, by End-User Industry
13.6. North America Deep Learning Chipset Market Forecast, by End-User Industry
13.6.1. BFSI
13.6.2. IT & Telecom
13.6.3. Retail
13.6.4. Media & Advertising
13.6.5. Healthcare
13.6.6. Automotive
13.6.7. Other
13.7. North America Deep Learning Chipset Market Value Share Analysis, by Type
13.8. North America Deep Learning Chipset Market Forecast, by Type
13.8.1. Central Processing Units (CPUs)
13.8.2. Graphics Processing Units (GPUs)
13.8.3. Field Programmable Gate Arrays (FPGAs)
13.8.4. Application Specific Integrated Circuits (ASICs)
13.8.5. Others (NPU & Hybrid Chip)
13.9. North America Deep Learning Chipset Market Value Share Analysis, by Technology
13.10. North America Deep Learning Chipset Market Forecast, by Technology
13.10.1. System-on-chip (SOC)
13.10.2. System-in-package (SIP)
13.10.3. Multi-Chip Module
13.10.4. OTHERS (Package in Package, TSV)
13.11. North America Deep Learning Chipset Market Value Share Analysis, by Application
13.12. North America Deep Learning Chipset Market Forecast, by Application
13.12.1. Automotive
13.12.2. Smart Cameras
13.12.3. Robots
13.12.4. Drones
13.12.5. Mobile Phones
13.12.6. Others
13.13. North America Deep Learning Chipset Market Value Share Analysis, by Country
13.14. North America Deep Learning Chipset Market Forecast, by Country
13.14.1. U.S.
13.14.2. Canada
13.15. North America Deep Learning Chipset Market Analysis, by Country
13.16. U.S. Deep Learning Chipset Market Forecast, by Compute Capacity
13.16.1. Low (<1TFlops) 13.16.2. High (>1TFlops)
13.17. U.S. Deep Learning Chipset Market Forecast, by End-User Industry
13.17.1. BFSI
13.17.2. IT & Telecom
13.17.3. Retail
13.17.4. Media & Advertising
13.17.5. Healthcare
13.17.6. Automotive
13.17.7. Other
13.18. U.S. Deep Learning Chipset Market Forecast, by Type
13.18.1. Central Processing Units (CPUs)
13.18.2. Graphics Processing Units (GPUs)
13.18.3. Field Programmable Gate Arrays (FPGAs)
13.18.4. Application Specific Integrated Circuits (ASICs)
13.18.5. Others (NPU & Hybrid Chip)
13.19. U.S. Deep Learning Chipset Market Forecast, by Technology
13.19.1. System-on-chip (SOC)
13.19.2. System-in-package (SIP)
13.19.3. Multi-Chip Module
13.19.4. OTHERS (Package in Package, TSV)
13.20. U.S. Deep Learning Chipset Market Forecast, by Application
13.20.1. Automotive
13.20.2. Smart Cameras
13.20.3. Robots
13.20.4. Drones
13.20.5. Mobile Phones
13.20.6. Others
13.21. Canada Deep Learning Chipset Market Forecast, by Compute Capacity
13.21.1. Low (<1TFlops) 13.21.2. High (>1TFlops)
13.22. Canada Deep Learning Chipset Market Forecast, by End-User Industry
13.22.1. BFSI
13.22.2. IT & Telecom
13.22.3. Retail
13.22.4. Media & Advertising
13.22.5. Healthcare
13.22.6. Automotive
13.22.7. Other
13.23. Canada Deep Learning Chipset Market Forecast, by Type
13.23.1. Central Processing Units (CPUs)
13.23.2. Graphics Processing Units (GPUs)
13.23.3. Field Programmable Gate Arrays (FPGAs)
13.23.4. Application Specific Integrated Circuits (ASICs)
13.23.5. Others (NPU & Hybrid Chip)
13.24. Canada Deep Learning Chipset Market Forecast, by Technology
13.24.1. System-on-chip (SOC)
13.24.2. System-in-package (SIP)
13.24.3. Multi-Chip Module
13.24.4. OTHERS (Package in Package, TSV)
13.25. Canada Deep Learning Chipset Market Forecast, by Application
13.25.1. Automotive
13.25.2. Smart Cameras
13.25.3. Robots
13.25.4. Drones
13.25.5. Mobile Phones
13.25.6. Others
13.26. North America Deep Learning Chipset Market Attractiveness Analysis
13.26.1. By Compute Capacity
13.26.2. By End-User Industry
13.26.3. By Type
13.26.4. By Technology
13.26.5. By Application
13.27. PEST Analysis
13.28. Key Trends
13.29. Key Developments
14. Europe Deep Learning Chipset Market Analysis
14.1. Key Findings
14.2. Europe Deep Learning Chipset Market Overview
14.3. Europe Deep Learning Chipset Market Value Share Analysis, by Compute Capacity
14.4. Europe Deep Learning Chipset Market Forecast, by Compute Capacity
14.4.1. Low (<1TFlops) 14.4.2. High (>1TFlops)
14.5. Europe Deep Learning Chipset Market Value Share Analysis, by End-User Industry
14.6. Europe Deep Learning Chipset Market Forecast, by End-User Industry
14.6.1. BFSI
14.6.2. IT & Telecom
14.6.3. Retail
14.6.4. Media & Advertising
14.6.5. Healthcare
14.6.6. Automotive
14.6.7. Other
14.7. Europe Deep Learning Chipset Market Value Share Analysis, by Type
14.8. Europe Deep Learning Chipset Market Forecast, by Type
14.8.1. Central Processing Units (CPUs)
14.8.2. Graphics Processing Units (GPUs)
14.8.3. Field Programmable Gate Arrays (FPGAs)
14.8.4. Application Specific Integrated Circuits (ASICs)
14.8.5. Others (NPU & Hybrid Chip)
14.8.6. Europe Deep Learning Chipset Market Value Share Analysis, by Technology
14.9. Europe Deep Learning Chipset Market Forecast, by Technology
14.9.1. System-on-chip (SOC)
14.9.2. System-in-package (SIP)
14.9.3. Multi-Chip Module
14.9.4. OTHERS (Package in Package, TSV)
14.10. Europe Deep Learning Chipset Market Value Share Analysis, by Application
14.11. Europe Deep Learning Chipset Market Forecast, by Application
14.11.1. Automotive
14.11.2. Smart Cameras
14.11.3. Robots
14.11.4. Drones
14.11.5. Mobile Phones
14.11.6. Others
14.12. Europe Deep Learning Chipset Market Value Share Analysis, by Country
14.13. Europe Deep Learning Chipset Market Forecast, by Country
14.13.1. Germany
14.13.2. U.K.
14.13.3. France
14.13.4. Italy
14.13.5. Spain
14.13.6. Rest of Europe
14.14. Europe Deep Learning Chipset Market Analysis, by Country
14.15. Germany Deep Learning Chipset Market Forecast, by Compute Capacity
14.15.1. Low (<1TFlops) 14.15.2. High (>1TFlops)
14.16. Germany Deep Learning Chipset Market Forecast, by End-User Industry
14.16.1. BFSI
14.16.2. IT & Telecom
14.16.3. Retail
14.16.4. Media & Advertising
14.16.5. Healthcare
14.16.6. Automotive
14.16.7. Other
14.17. Germany Deep Learning Chipset Market Forecast, by Type
14.17.1. Central Processing Units (CPUs)
14.17.2. Graphics Processing Units (GPUs)
14.17.3. Field Programmable Gate Arrays (FPGAs)
14.17.4. Application Specific Integrated Circuits (ASICs)
14.17.5. Others (NPU & Hybrid Chip)
14.18. Germany Deep Learning Chipset Market Forecast, by Technology
14.18.1. System-on-chip (SOC)
14.18.2. System-in-package (SIP)
14.18.3. Multi-Chip Module
14.18.4. OTHERS (Package in Package, TSV)
14.19. Germany Deep Learning Chipset Market Forecast, by Application
14.19.1. Automotive
14.19.2. Smart Cameras
14.19.3. Robots
14.19.4. Drones
14.19.5. Mobile Phones
14.19.6. Others
14.20. U.K. Deep Learning Chipset Market Forecast, by Compute Capacity
14.20.1. Low (<1TFlops) 14.20.2. High (>1TFlops)
14.21. U.K. Deep Learning Chipset Market Forecast, by End-User Industry
14.21.1. BFSI
14.21.2. IT & Telecom
14.21.3. Retail
14.21.4. Media & Advertising
14.21.5. Healthcare
14.21.6. Automotive
14.21.7. Other
14.22. U.K. Deep Learning Chipset Market Forecast, by Type
14.22.1. Central Processing Units (CPUs)
14.22.2. Graphics Processing Units (GPUs)
14.22.3. Field Programmable Gate Arrays (FPGAs)
14.22.4. Application Specific Integrated Circuits (ASICs)
14.22.5. Others (NPU & Hybrid Chip)
14.23. U.K. Deep Learning Chipset Market Forecast, by Technology
14.23.1. System-on-chip (SOC)
14.23.2. System-in-package (SIP)
14.23.3. Multi-Chip Module
14.23.4. OTHERS (Package in Package, TSV)
14.24. U.K. Deep Learning Chipset Market Forecast, by Application
14.24.1. Automotive
14.24.2. Smart Cameras
14.24.3. Robots
14.24.4. Drones
14.24.5. Mobile Phones
14.24.6. Others
14.25. France Deep Learning Chipset Market Forecast, by Compute Capacity
14.25.1. Low (<1TFlops) 14.25.2. High (>1TFlops)
14.26. France Deep Learning Chipset Market Forecast, by End-User Industry
14.26.1. BFSI
14.26.2. IT & Telecom
14.26.3. Retail
14.26.4. Media & Advertising
14.26.5. Healthcare
14.26.6. Automotive
14.26.7. Other
14.27. France Deep Learning Chipset Market Forecast, by Type
14.27.1. Central Processing Units (CPUs)
14.27.2. Graphics Processing Units (GPUs)
14.27.3. Field Programmable Gate Arrays (FPGAs)
14.27.4. Application Specific Integrated Circuits (ASICs)
14.27.5. Others (NPU & Hybrid Chip)
14.28. France Deep Learning Chipset Market Forecast, by Technology
14.28.1. System-on-chip (SOC)
14.28.2. System-in-package (SIP)
14.28.3. Multi-Chip Module
14.28.4. OTHERS (Package in Package, TSV)
14.29. France Deep Learning Chipset Market Forecast, by Application
14.29.1. Automotive
14.29.2. Smart Cameras
14.29.3. Robots
14.29.4. Drones
14.29.5. Mobile Phones
14.29.6. Others
14.30. Italy Deep Learning Chipset Market Forecast, by Compute Capacity
14.30.1. Low (<1TFlops) 14.30.2. High (>1TFlops)
14.31. Italy Deep Learning Chipset Market Forecast, by End-User Industry
14.31.1. BFSI
14.31.2. IT & Telecom
14.31.3. Retail
14.31.4. Media & Advertising
14.31.5. Healthcare
14.31.6. Automotive
14.31.7. Other
14.32. Italy Deep Learning Chipset Market Forecast, by Type
14.32.1. Central Processing Units (CPUs)
14.32.2. Graphics Processing Units (GPUs)
14.32.3. Field Programmable Gate Arrays (FPGAs)
14.32.4. Application Specific Integrated Circuits (ASICs)
14.32.5. Others (NPU & Hybrid Chip)
14.33. Italy Deep Learning Chipset Market Forecast, by Technology
14.33.1. System-on-chip (SOC)
14.33.2. System-in-package (SIP)
14.33.3. Multi-Chip Module
14.33.4. OTHERS (Package in Package, TSV)
14.34. Italy Deep Learning Chipset Market Forecast, by Application
14.34.1. Automotive
14.34.2. Smart Cameras
14.34.3. Robots
14.34.4. Drones
14.34.5. Mobile Phones
14.34.6. Others
14.35. Spain Deep Learning Chipset Market Forecast, by Compute Capacity
14.35.1. Low (<1TFlops) 14.35.2. High (>1TFlops)
14.36. Spain Deep Learning Chipset Market Forecast, by End-User Industry
14.36.1. Cardiac Centers
14.36.2. Hospitals
14.36.3. Ambulatory Surgical Centers
14.37. Spain Deep Learning Chipset Market Forecast, by Type
14.37.1. Central Processing Units (CPUs)
14.37.2. Graphics Processing Units (GPUs)
14.37.3. Field Programmable Gate Arrays (FPGAs)
14.37.4. Application Specific Integrated Circuits (ASICs)
14.37.5. Others (NPU & Hybrid Chip)
14.38. Spain Deep Learning Chipset Market Forecast, by Technology
14.38.1. System-on-chip (SOC)
14.38.2. System-in-package (SIP)
14.38.3. Multi-Chip Module
14.38.4. OTHERS (Package in Package, TSV)
14.39. Spain Deep Learning Chipset Market Forecast, by Application
14.39.1. Automotive
14.39.2. Smart Cameras
14.39.3. Robots
14.39.4. Drones
14.39.5. Mobile Phones
14.39.6. Others
14.40. Rest of Europe Deep Learning Chipset Market Forecast, by Compute Capacity
14.40.1. Low (<1TFlops) 14.40.2. High (>1TFlops)
14.41. Rest of Europe Deep Learning Chipset Market Forecast, by End-User Industry
14.41.1. BFSI
14.41.2. IT & Telecom
14.41.3. Retail
14.41.4. Media & Advertising
14.41.5. Healthcare
14.41.6. Automotive
14.41.7. Other
14.42. Rest of Europe Deep Learning Chipset Market Forecast, by Type
14.42.1. Central Processing Units (CPUs)
14.42.2. Graphics Processing Units (GPUs)
14.42.3. Field Programmable Gate Arrays (FPGAs)
14.42.4. Application Specific Integrated Circuits (ASICs)
14.42.5. Others (NPU & Hybrid Chip)
14.43. Rest Of Europe Deep Learning Chipset Market Forecast, by Technology
14.43.1. System-on-chip (SOC)
14.43.2. System-in-package (SIP)
14.43.3. Multi-Chip Module
14.43.4. OTHERS (Package in Package, TSV)
14.44. Rest Of Europe Deep Learning Chipset Market Forecast, by Application
14.44.1. Automotive
14.44.2. Smart Cameras
14.44.3. Robots
14.44.4. Drones
14.44.5. Mobile Phones
14.44.6. Others
14.45. Europe Deep Learning Chipset Market Attractiveness Analysis
14.45.1. By Compute Capacity
14.45.2. By End-User Industry
14.45.3. By Type
14.45.4. By Technology
14.45.5. By Application
14.46. PEST Analysis
14.47. Key Trends
14.48. Key Developments
15. Asia Pacific Deep Learning Chipset Market Analysis
15.1. Key Findings
15.2. Asia Pacific Deep Learning Chipset Market Overview
15.3. Asia Pacific Deep Learning Chipset Market Value Share Analysis, by Compute Capacity
15.4. Asia Pacific Deep Learning Chipset Market Forecast, by Compute Capacity
15.4.1. Low (<1TFlops) 15.4.2. High (>1TFlops)
15.5. Asia Pacific Deep Learning Chipset Market Value Share Analysis, by End-User Industry
15.6. Asia Pacific Deep Learning Chipset Market Forecast, by End-User Industry
15.6.1. BFSI
15.6.2. IT & Telecom
15.6.3. Retail
15.6.4. Media & Advertising
15.6.5. Healthcare
15.6.6. Automotive
15.6.7. Other
15.7. Asia Pacific Deep Learning Chipset Market Value Share Analysis, by Type
15.8. Asia Pacific Deep Learning Chipset Market Forecast, by Type
15.8.1. Central Processing Units (CPUs)
15.8.2. Graphics Processing Units (GPUs)
15.8.3. Field Programmable Gate Arrays (FPGAs)
15.8.4. Application Specific Integrated Circuits (ASICs)
15.8.5. Others (NPU & Hybrid Chip)
15.9. Asia Pacific Deep Learning Chipset Market Value Share Analysis, by Technology
15.10. Asia Pacific Deep Learning Chipset Market Forecast, by Technology
15.10.1. System-on-chip (SOC)
15.10.2. System-in-package (SIP)
15.10.3. Multi-Chip Module
15.10.4. OTHERS (Package in Package, TSV)
15.11. Asia Pacific Deep Learning Chipset Market Value Share Analysis, by Application
15.12. Asia Pacific Deep Learning Chipset Market Forecast, by Application
15.12.1. Automotive
15.12.2. Smart Cameras
15.12.3. Robots
15.12.4. Drones
15.12.5. Mobile Phones
15.12.6. Others
15.13. Asia Pacific Deep Learning Chipset Market Value Share Analysis, by Country
15.14. Asia Pacific Deep Learning Chipset Market Forecast, by Country
15.14.1. China
15.14.2. India
15.14.3. Japan
15.14.4. ASEAN
15.14.5. Rest of Asia Pacific
15.15. Asia Pacific Deep Learning Chipset Market Analysis, by Country
15.16. China Deep Learning Chipset Market Forecast, by Compute Capacity
15.16.1. Low (<1TFlops) 15.16.2. High (>1TFlops)
15.17. China Deep Learning Chipset Market Forecast, by End-User Industry
15.17.1. BFSI
15.17.2. IT & Telecom
15.17.3. Retail
15.17.4. Media & Advertising
15.17.5. Healthcare
15.17.6. Automotive
15.17.7. Other
15.18. China Deep Learning Chipset Market Forecast, by Type
15.18.1. Central Processing Units (CPUs)
15.18.2. Graphics Processing Units (GPUs)
15.18.3. Field Programmable Gate Arrays (FPGAs)
15.18.4. Application Specific Integrated Circuits (ASICs)
15.18.5. Others (NPU & Hybrid Chip)
15.19. China Deep Learning Chipset Market Forecast, by Technology
15.19.1. System-on-chip (SOC)
15.19.2. System-in-package (SIP)
15.19.3. Multi-Chip Module
15.19.4. OTHERS (Package in Package, TSV)
15.20. China Deep Learning Chipset Market Forecast, by Application
15.20.1. Automotive
15.20.2. Smart Cameras
15.20.3. Robots
15.20.4. Drones
15.20.5. Mobile Phones
15.20.6. Others
15.21. India Deep Learning Chipset Market Forecast, by Compute Capacity
15.21.1. Low (<1TFlops) 15.21.2. High (>1TFlops)
15.22. India Deep Learning Chipset Market Forecast, by End-User Industry
15.22.1. BFSI
15.22.2. IT & Telecom
15.22.3. Retail
15.22.4. Media & Advertising
15.22.5. Healthcare
15.22.6. Automotive
15.22.7. Other
15.23. India Deep Learning Chipset Market Forecast, by Type
15.23.1. Central Processing Units (CPUs)
15.23.2. Graphics Processing Units (GPUs)
15.23.3. Field Programmable Gate Arrays (FPGAs)
15.23.4. Application Specific Integrated Circuits (ASICs)
15.23.5. Others (NPU & Hybrid Chip)
15.24. India Deep Learning Chipset Market Forecast, by Technology
15.24.1. System-on-chip (SOC)
15.24.2. System-in-package (SIP)
15.24.3. Multi-Chip Module
15.24.4. OTHERS (Package in Package, TSV)
15.25. India Deep Learning Chipset Market Forecast, by Application
15.25.1. Automotive
15.25.2. Smart Cameras
15.25.3. Robots
15.25.4. Drones
15.25.5. Mobile Phones
15.25.6. Others
15.26. Japan Deep Learning Chipset Market Forecast, by Compute Capacity
15.26.1. Low (<1TFlops) 15.26.2. High (>1TFlops)
15.27. Japan Deep Learning Chipset Market Forecast, by End-User Industry
15.27.1. BFSI
15.27.2. IT & Telecom
15.27.3. Retail
15.27.4. Media & Advertising
15.27.5. Healthcare
15.27.6. Automotive
15.27.7. Other
15.28. Japan Deep Learning Chipset Market Forecast, by Type
15.28.1. Central Processing Units (CPUs)
15.28.2. Graphics Processing Units (GPUs)
15.28.3. Field Programmable Gate Arrays (FPGAs)
15.28.4. Application Specific Integrated Circuits (ASICs)
15.28.5. Others (NPU & Hybrid Chip)
15.29. Japan Deep Learning Chipset Market Forecast, by Technology
15.29.1. System-on-chip (SOC)
15.29.2. System-in-package (SIP)
15.29.3. Multi-Chip Module
15.29.4. OTHERS (Package in Package, TSV)
15.30. Japan Deep Learning Chipset Market Forecast, by Application
15.30.1. Automotive
15.30.2. Smart Cameras
15.30.3. Robots
15.30.4. Drones
15.30.5. Mobile Phones
15.30.6. Others
15.31. ASEAN Deep Learning Chipset Market Forecast, by Compute Capacity
15.31.1. Low (<1TFlops) 15.31.2. High (>1TFlops)
15.32. ASEAN Deep Learning Chipset Market Forecast, by End-User Industry
15.32.1. BFSI
15.32.2. IT & Telecom
15.32.3. Retail
15.32.4. Media & Advertising
15.32.5. Healthcare
15.32.6. Automotive
15.32.7. Other
15.33. ASEAN Deep Learning Chipset Market Forecast, by Type
15.33.1. Central Processing Units (CPUs)
15.33.2. Graphics Processing Units (GPUs)
15.33.3. Field Programmable Gate Arrays (FPGAs)
15.33.4. Application Specific Integrated Circuits (ASICs)
15.33.5. Others (NPU & Hybrid Chip)
15.34. ASEAN Deep Learning Chipset Market Forecast, by Technology
15.34.1. Oral System-on-chip (SOC)
15.34.2. System-in-package (SIP)
15.34.3. Multi-Chip Module
15.34.4. OTHERS (Package in Package, TSV)
15.35. ASEAN Deep Learning Chipset Market Forecast, by Application
15.35.1. Automotive
15.35.2. Smart Cameras
15.35.3. Robots
15.35.4. Drones
15.35.5. Mobile Phones
15.35.6. Others
15.36. Rest of Asia Pacific Deep Learning Chipset Market Forecast, by Compute Capacity
15.36.1. Low (<1TFlops) 15.36.2. High (>1TFlops)
15.37. Rest of Asia Pacific Deep Learning Chipset Market Forecast, by End-User Industry
15.37.1. BFSI
15.37.2. IT & Telecom
15.37.3. Retail
15.37.4. Media & Advertising
15.37.5. Healthcare
15.37.6. Automotive
15.37.7. Other
15.38. Rest of Asia Pacific Deep Learning Chipset Market Forecast, by Type
15.38.1. Central Processing Units (CPUs)
15.38.2. Graphics Processing Units (GPUs)
15.38.3. Field Programmable Gate Arrays (FPGAs)
15.38.4. Application Specific Integrated Circuits (ASICs)
15.38.5. Others (NPU & Hybrid Chip)
15.39. Rest of Asia Pacific Deep Learning Chipset Market Forecast, by Technology
15.39.1. System-on-chip (SOC)
15.39.2. System-in-package (SIP)
15.39.3. Multi-Chip Module
15.39.4. OTHERS (Package in Package, TSV)
15.40. Rest of Asia Pacific Deep Learning Chipset Market Forecast, by Application
15.40.1. Automotive
15.40.2. Smart Cameras
15.40.3. Robots
15.40.4. Drones
15.40.5. Mobile Phones
15.40.6. Others
15.41. Asia Pacific Deep Learning Chipset Market Attractiveness Analysis
15.41.1. By Compute Capacity
15.41.2. By End-User Industry
15.41.3. By Type
15.41.4. By Technology
15.41.5. By Application
15.42. PEST Analysis
15.43. Key Trends
15.44. Key Developments
16. Middle East & Africa Deep Learning Chipset Market Analysis
16.1. Key Findings
16.2. Middle East & Africa Deep Learning Chipset Market Overview
16.3. Middle East & Africa Deep Learning Chipset Market Value Share Analysis, by Compute Capacity
16.4. Middle East & Africa Deep Learning Chipset Market Forecast, by Compute Capacity
16.4.1. Low (<1TFlops) 16.4.2. High (>1TFlops)
16.5. Middle East & Africa Deep Learning Chipset Market Value Share Analysis, by End-User Industry
16.6. Middle East & Africa Deep Learning Chipset Market Forecast, by End-User Industry
16.6.1. BFSI
16.6.2. IT & Telecom
16.6.3. Retail
16.6.4. Media & Advertising
16.6.5. Healthcare
16.6.6. Automotive
16.6.7. Other
16.7. Middle East & Africa Deep Learning Chipset Market Value Share Analysis, by Type
16.8. Middle East & Africa Deep Learning Chipset Market Forecast, by Type
16.8.1. Central Processing Units (CPUs)
16.8.2. Graphics Processing Units (GPUs)
16.8.3. Field Programmable Gate Arrays (FPGAs)
16.8.4. Application Specific Integrated Circuits (ASICs)
16.8.5. Others (NPU & Hybrid Chip)
16.9. Middle East & Africa Deep Learning Chipset Market Value Share Analysis, by Technology
16.10. Middle East & Africa Deep Learning Chipset Market Forecast, by Technology
16.10.1. System-on-chip (SOC)
16.10.2. System-in-package (SIP)
16.10.3. Multi-Chip Module
16.10.4. OTHERS (Package in Package, TSV)
16.11. Middle East & Africa Deep Learning Chipset Market Value Share Analysis, by Application
16.12. Middle East & Africa Deep Learning Chipset Market Forecast, by Application
16.12.1. Automotive
16.12.2. Smart Cameras
16.12.3. Robots
16.12.4. Drones
16.12.5. Mobile Phones
16.12.6. Others
16.13. Middle East & Africa Deep Learning Chipset Market Value Share Analysis, by Country
16.14. Middle East & Africa Deep Learning Chipset Market Forecast, by Country
16.14.1. GCC
16.14.2. South Africa
16.14.3. Rest of Middle East & Africa
16.15. Middle East & Africa Deep Learning Chipset Market Analysis, by Country
16.16. GCC Deep Learning Chipset Market Forecast, by Compute Capacity
16.16.1. Low (<1TFlops) 16.16.2. High (>1TFlops)
16.17. GCC Deep Learning Chipset Market Forecast, by End-User Industry
16.17.1. BFSI
16.17.2. IT & Telecom
16.17.3. Retail
16.17.4. Media & Advertising
16.17.5. Healthcare
16.17.6. Automotive
16.17.7. Other
16.18. GCC Deep Learning Chipset Market Forecast, by Type
16.18.1. Central Processing Units (CPUs)
16.18.2. Graphics Processing Units (GPUs)
16.18.3. Field Programmable Gate Arrays (FPGAs)
16.18.4. Application Specific Integrated Circuits (ASICs)
16.18.5. Others (NPU & Hybrid Chip)
16.19. GCC Deep Learning Chipset Market Forecast, by Technology
16.19.1. Oral System-on-chip (SOC)
16.19.2. System-in-package (SIP)
16.19.3. Multi-Chip Module
16.19.4. OTHERS (Package in Package, TSV)
16.20. GCC Deep Learning Chipset Market Forecast, by Application
16.20.1. Automotive
16.20.2. Smart Cameras
16.20.3. Robots
16.20.4. Drones
16.20.5. Mobile Phones
16.20.6. Others
16.21. South Africa Deep Learning Chipset Market Forecast, by Compute Capacity
16.21.1. Low (<1TFlops) 16.21.2. High (>1TFlops)
16.22. South Africa Deep Learning Chipset Market Forecast, by End-User Industry
16.22.1. BFSI
16.22.2. IT & Telecom
16.22.3. Retail
16.22.4. Media & Advertising
16.22.5. Healthcare
16.22.6. Automotive
16.22.7. Other
16.23. South Africa Deep Learning Chipset Market Forecast, by Type
16.23.1. Persistent Central Processing Units (CPUs)
16.23.2. Graphics Processing Units (GPUs)
16.23.3. Field Programmable Gate Arrays (FPGAs)
16.23.4. Application Specific Integrated Circuits (ASICs)
16.23.5. Others (NPU & Hybrid Chip)
16.24. South Africa Deep Learning Chipset Market Forecast, by Technology
16.24.1. Oral System-on-chip (SOC)
16.24.2. System-in-package (SIP)
16.24.3. Multi-Chip Module
16.24.4. OTHERS (Package in Package, TSV)
16.25. South Africa Deep Learning Chipset Market Forecast, by Application
16.25.1. Automotive
16.25.2. Smart Cameras
16.25.3. Robots
16.25.4. Drones
16.25.5. Mobile Phones
16.25.6. Others
16.26. Rest of Middle East & Africa Deep Learning Chipset Market Forecast, by Compute Capacity
16.26.1. Low (<1TFlops) 16.26.2. High (>1TFlops)
16.27. Rest of Middle East & Africa Deep Learning Chipset Market Forecast, by End-User Industry
16.27.1. BFSI
16.27.2. IT & Telecom
16.27.3. Retail
16.27.4. Media & Advertising
16.27.5. Healthcare
16.27.6. Automotive
16.27.7. Other
16.28. Rest of Middle East & Africa Deep Learning Chipset Market Forecast, by Type
16.28.1. Central Processing Units (CPUs)
16.28.2. Graphics Processing Units (GPUs)
16.28.3. Field Programmable Gate Arrays (FPGAs)
16.28.4. Application Specific Integrated Circuits (ASICs)
16.28.5. Others (NPU & Hybrid Chip)
16.29. Rest of Middle East & Africa Deep Learning Chipset Market Forecast, by Technology
16.29.1. Oral System-on-chip (SOC)
16.29.2. System-in-package (SIP)
16.29.3. Multi-Chip Module
16.29.4. OTHERS (Package in Package, TSV)
16.30. Rest of Middle East & Africa Deep Learning Chipset Market Forecast, by Application
16.30.1. Automotive
16.30.2. Smart Cameras
16.30.3. Robots
16.30.4. Drones
16.30.5. Mobile Phones
16.30.6. Others
16.31. Middle East & Africa Deep Learning Chipset Market Attractiveness Analysis
16.31.1. By Compute Capacity
16.31.2. By End-User Industry
16.31.3. By Type
16.31.4. By Technology
16.31.5. By Application
16.32. PEST Analysis
16.33. Key Trends
16.34. Key Developments
17. South America Deep Learning Chipset Market Analysis
17.1. Key Findings
17.2. South America Deep Learning Chipset Market Overview
17.3. South America Deep Learning Chipset Market Value Share Analysis, by Compute Capacity
17.4. South America Deep Learning Chipset Market Forecast, by Compute Capacity
17.4.1. Low (<1TFlops) 17.4.2. High (>1TFlops)
17.5. South America Deep Learning Chipset Market Value Share Analysis, by End-User Industry
17.6. South America Deep Learning Chipset Market Forecast, by End-User Industry
17.6.1. BFSI
17.6.2. IT & Telecom
17.6.3. Retail
17.6.4. Media & Advertising
17.6.5. Healthcare
17.6.6. Automotive
17.6.7. Other
17.7. South America Deep Learning Chipset Market Value Share Analysis, by Type
17.8. South America Deep Learning Chipset Market Forecast, by Type
17.8.1. Central Processing Units (CPUs)
17.8.2. Graphics Processing Units (GPUs)
17.8.3. Field Programmable Gate Arrays (FPGAs)
17.8.4. Application Specific Integrated Circuits (ASICs)
17.8.5. Others (NPU & Hybrid Chip)
17.9. South America Deep Learning Chipset Market Value Share Analysis, by Technology
17.10. South America Deep Learning Chipset Market Forecast, by Technology
17.10.1. Oral System-on-chip (SOC)
17.10.2. System-in-package (SIP)
17.10.3. Multi-Chip Module
17.10.4. OTHERS (Package in Package, TSV)
17.11. South America Deep Learning Chipset Market Value Share Analysis, by Application
17.12. South America Deep Learning Chipset Market Forecast, by Application
17.12.1. Automotive
17.12.2. Smart Cameras
17.12.3. Robots
17.12.4. Drones
17.12.5. Mobile Phones
17.12.6. Others
17.13. South America Deep Learning Chipset Market Value Share Analysis, by Country
17.14. South America Deep Learning Chipset Market Forecast, by Country
17.14.1. Brazil
17.14.2. Mexico
17.14.3. Rest of South America
17.15. South America Deep Learning Chipset Market Analysis, by Country
17.16. Brazil Deep Learning Chipset Market Forecast, by Compute Capacity
17.16.1. Low (<1TFlops) 17.16.2. High (>1TFlops)
17.17. Brazil Deep Learning Chipset Market Forecast, by End-User Industry
17.17.1. BFSI
17.17.2. IT & Telecom
17.17.3. Retail
17.17.4. Media & Advertising
17.17.5. Healthcare
17.17.6. Automotive
17.17.7. Other
17.18. Brazil Deep Learning Chipset Market Forecast, by Type
17.18.1. Central Processing Units (CPUs)
17.18.2. Graphics Processing Units (GPUs)
17.18.3. Field Programmable Gate Arrays (FPGAs)
17.18.4. Application Specific Integrated Circuits (ASICs)
17.18.5. Others (NPU & Hybrid Chip)
17.19. Brazil Deep Learning Chipset Market Forecast, by Technology
17.19.1. System-on-chip (SOC)
17.19.2. System-in-package (SIP)
17.19.3. Multi-Chip Module
17.19.4. OTHERS (Package in Package, TSV)
17.20. Brazil Deep Learning Chipset Market Forecast, by Application
17.20.1. Automotive
17.20.2. Smart Cameras
17.20.3. Robots
17.20.4. Drones
17.20.5. Mobile Phones
17.20.6. Others
17.21. Mexico Deep Learning Chipset Market Forecast, by Compute Capacity
17.21.1. Low (<1TFlops) 17.21.2. High (>1TFlops)
17.22. Mexico Deep Learning Chipset Market Forecast, by End-User Industry
17.22.1. BFSI
17.22.2. IT & Telecom
17.22.3. Retail
17.22.4. Media & Advertising
17.22.5. Healthcare
17.22.6. Automotive
17.22.7. Other
17.23. Mexico Deep Learning Chipset Market Forecast, by Type
17.23.1. Central Processing Units (CPUs)
17.23.2. Graphics Processing Units (GPUs)
17.23.3. Field Programmable Gate Arrays (FPGAs)
17.23.4. Application Specific Integrated Circuits (ASICs)
17.23.5. Others (NPU & Hybrid Chip)
17.24. Mexico Deep Learning Chipset Market Forecast, by Technology
17.24.1. System-on-chip (SOC)
17.24.2. System-in-package (SIP)
17.24.3. Multi-Chip Module
17.24.4. OTHERS (Package in Package, TSV)
17.25. Mexico Deep Learning Chipset Market Forecast, by Application
17.25.1. Automotive
17.25.2. Smart Cameras
17.25.3. Robots
17.25.4. Drones
17.25.5. Mobile Phones
17.25.6. Others
17.26. Rest of South America Deep Learning Chipset Market Forecast, by Compute Capacity
17.26.1. Low (<1TFlops) 17.26.2. High (>1TFlops)
17.27. Rest of South America Deep Learning Chipset Market Forecast, by End-User Industry
17.27.1. BFSI
17.27.2. IT & Telecom
17.27.3. Retail
17.27.4. Media & Advertising
17.27.5. Healthcare
17.27.6. Automotive
17.27.7. Other
17.28. Rest of South America Deep Learning Chipset Market Forecast, by Type
17.28.1. Central Processing Units (CPUs)
17.28.2. Graphics Processing Units (GPUs)
17.28.3. Field Programmable Gate Arrays (FPGAs)
17.28.4. Application Specific Integrated Circuits (ASICs)
17.28.5. Others (NPU & Hybrid Chip)
17.29. Rest of South America Deep Learning Chipset Market Forecast, by Technology
17.29.1. System-on-chip (SOC)
17.29.2. System-in-package (SIP)
17.29.3. Multi-Chip Module
17.29.4. OTHERS (Package in Package, TSV)
17.30. Rest of South America Deep Learning Chipset Market Forecast, by Application
17.30.1. Automotive
17.30.2. Smart Cameras
17.30.3. Robots
17.30.4. Drones
17.30.5. Mobile Phones
17.30.6. Others
17.31. South America Deep Learning Chipset Market Attractiveness Analysis
17.31.1. By Compute Capacity
17.31.2. By End-User Industry
17.31.3. By Type
17.31.4. By Technology
17.31.5. By Application
17.32. PEST Analysis
17.33. Key Trends
17.34. Key Developments
18. Company Profiles
18.1. Market Share Analysis, by Company
18.2. Competition Matrix
18.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications and R&D investment
18.2.2. New Compute Capacity Launches and Compute Capacity Enhancements
18.2.3. Market Consolidation
18.2.3.1. M&A by Regions, Investment and Applications
18.2.3.2. M&A Key Players, Forward Integration and Backward
Integration
18.3. Company Profiles: Key Players
18.3.1. NVIDIA
18.3.1.1. Company Overview
18.3.1.2. Financial Overview
18.3.1.3. Compute Capacity Portfolio
18.3.1.4. Business Strategy
18.3.1.5. Recent Developments
18.3.1.6. Company Footprint
18.3.2. Intel
18.3.3. IBM
18.3.4. Qualcomm
18.3.5. CEVA
18.3.6. KnuEdge
18.3.7. AMD
18.3.8. Xilinx
18.3.9. ARM
18.3.10. Google
18.3.11. Graphcore
18.3.12. TeraDeep
18.3.13. Wave Computing
18.3.14. BrainChip
18.3.15. Baidu
18.3.16. Bitmain Technologies
18.3.17. Amazon
18.3.18. Samsung
18.3.19. Huawei Technologies Co., Ltd
18.3.20. Advanced Micro Devices, Inc.
19. Primary Key Insights