Global Deep Learning Chipset Market-Industry Analysis and Forecast (2019-2026) – by Type, Technology, Compute Capacity, End User Industry, Application and Region.

Global Deep Learning Chipset Market-Industry Analysis and Forecast (2019-2026) – by Type, Technology, Compute Capacity, End User Industry, Application and Region.

Market Scenario

Global Deep Learning Chipset Market was valued US$ XX Bn in 2018 and is expected to reach US$ 2.9 Bn by 2026, at CAGR of XX % during the forecast period.Global Deep Learning Chipset Market, By Compute CapacityThe 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 a related 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 fueling the growth of the deep learning chipset market. By type, the graphics processing units segment holds the largest XX% market share of 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. 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 startups in the region. 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.

Scope of the Global Deep Learning Chipset Market

Global Deep Learning Chipset Market, By Type

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

Global Deep Learning Chipset Market, By Application

• Automotive • Smart Cameras • Robots • Drones • Mobile Phones • Others

Global Deep Learning Chipset Market, By Technology

• System-on-chip (SOC) • System-in-package (SIP) • Multi-Chip Module • OTHERS (Package in Package, TSV)

Global Deep Learning Chipset Market, By Compute Capacity

• Low (<1TFlops) • High (>1TFlops)

Global Deep Learning Chipset Market, By End-User Industry

• BFSI • IT & Telecom • Retail • Media & Advertising • Healthcare • Automotive • Others

Global Deep Learning Chipset Market, By Region

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

Key players operating in Global Deep Learning Chipset Market

• NVIDIA • Intel • IBM • Qualcomm • CEVA • KnuEdge • AMD • Xilinx • ARM • Google • Graphcore • TeraDeep • Wave Computing • BrainChip Global 3D Laser Scanner Market

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 19. Primary Key Insights

About This Report

Report ID34231
Category Electronics
Published DateSept 2019
No of Pages314
Contact Us
Call Now