The deep learning chip market in North America is expected to grow from US$ 900.1 Mn in 2018 to US$ 7836.4 Mn by the year 2027 with a CAGR of 27.1% from the year 2019 to 2027.
Driving factor such as the rising investments in deep learning chip start-ups is propelling the growth of the deep learning chip market. Further, the increasing adoption of cloud-based computing across several industries is anticipated to boost the deep learning chip market growth in the near future. With ever-increasing use cases of AI and the evolving market landscape, the advancements in present chips have become a necessity. Deep learning chip is majorly used in data center training market where NVIDIA is a market leader. However, the demand for application-specific custom deep learning chips and inference on edge and data center are the fast-growing segments in deep learning chip market, and many new startups are coming up to tap this market. The innovative technologies and solutions offered by these start-ups are going to intensify the competition in the deep learning chip market. The funding scenario is looking good for these startups majorly due to huge interest of industries in artificial intelligence and its capabilities to transform business processes. Some of the important developments in the start-up landscape include, in May 2019, Hailo Technologies Ltd. an Israeli private limited company launched the first of their deep learning processors named Hailo i-8 chips. This chip is expected to provide 26 tera operations per second (TOPS). In November 2019, Intel Corporation grew its prominence in artificial intelligence with the launch of its Nervana Neural Network processors for deep learning.
The deep learning chip market is segmented on the basis of chip type into GPU, ASIC, FPGA, CPU, and Others. During the forecast period of 2019 to 2027, the GPU chip type is anticipated to be the largest contributor in the deep learning chip market. However, the ASIC segment is projected to be the fastest-growing chip type with the highest CAGR over the forecast period.
The US dominated the deep learning chip market in 2018 and is expected to dominate the market with the highest share in the North America region through the forecast period. The US holds major share of the total spending in the deep learning chip technology. The growth in the deep learning chip market in the US is mainly driven by considerable growth of tech start-ups each year, which are funded by several capitalists, thereby increasing the scope of the market. The companies in the market are developing a dedicated platform for AI and its sub-sets. For instance, in March 2017, Mythic, a US-based AI platform provider, launched an AI platform that provides the benefits of processing analog/digital calculations in memory, which leads to improved performance, power life, and accuracy of various devices. The above-mentioned factors are, therefore, contributing to the growth of the deep learning chip market in the country. The figure given below highlights the revenue share of the Mexico in the deep learning chip market in the forecast period:
Mexico Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ Mn)
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NORTH AMERICA DEEP LEARNING - CHIP MARKET SEGMENTATION
NORTH AMERICA DEEP LEARNING - By Chip Type
- GPU
- ASIC
- FPGA
- CPU
- Others
NORTH AMERICA DEEP LEARNING - By Technology
- System-on-Chip
- System-in-Package
- Multi-chip Module
- Others
NORTH AMERICA DEEP LEARNING - By Industry Vertical
- Media & Advertising
- BFSI
- IT & Telecom
- Retail
- Healthcare
- Automotive & Transportation
- Others
NORTH AMERICA DEEP LEARNING - By Country
- US
- Canada
- Mexico
Deep Learning Chip Market - Companies Mentioned
- Advanced Micro Devices, Inc.
- Amazon.com, Inc.
- Huawei Technologies Co., Ltd.
- Baidu, Inc.
- Alphabet Inc. (Google)
- Intel Corporation
- NVIDIA Corporation
- Qualcomm Technologies, Inc.
- Samsung Electronics Co. Ltd.
- Xilinx Inc.
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
Chip Type, Technology, Industry Vertical
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
US, Canada
1. Introduction
1.1 Scope of the Study
1.2 The Insight Partners Research Report Guidance
1.3 Market Segmentation
2. Key Takeaways
3. Research Methodology
3.1 Coverage
3.2 Secondary Research
3.3 Primary Research
4. Deep Learning Chip Market Landscape
4.1 Market Overview
4.2 North America PEST Analysis
4.3 Ecosystem Analysis
4.4 Expert Opinions
5. North America Deep Learning Chip market – Key Industry Dynamics
5.1 Key Market Drivers
5.1.1 Rising investments in deep learning chip start-ups is boosting the market during the forecast period
5.2 Key Market Restraints
5.2.1 Lack of skilled workforce
5.3 Key Market Opportunities
5.3.1 Increasing adoption of cloud-based computing across several industries
5.4 Future Trends
5.4.1 Strong focus on the development of ASICs and application-specific custom/hybrid deep learning chips
5.5 Impact Analysis of Drivers and Restraints
6. Deep Learning Chip Market – North America Market Analysis
6.1 Market Overview
7. North America Deep Learning Chip Market Analysis – By Chip Type
7.1 Overview
7.2 North America Deep Learning Chip Market Breakdown, By Chip Type, 2018 & 2027
7.3 GPU
7.3.1 Overview
7.3.2 North America GPU Market Revenue and Forecasts to 2027 (US$ Mn)
7.4 ASIC
7.4.1 Overview
7.4.2 North America ASIC Market Revenue and Forecasts to 2027 (US$ Mn)
7.5 FPGA
7.5.1 Overview
7.5.2 North America FPGA Market Revenue and Forecasts to 2027 (US$ Mn)
7.6 CPU
7.6.1 Overview
7.6.2 North America CPU Market Revenue and Forecasts to 2027 (US$ Mn)
7.7 Others
7.7.1 Overview
7.7.2 North America Others Market Revenue and Forecasts to 2027 (US$ Mn)
8. North America Deep Learning Chip Revenue and Forecasts to 2027 – Technology
8.1 Overview
8.2 North America Deep Learning Chip Market Breakdown, By Technology, 2018 & 2027
8.3 System-on-Chip
8.3.1 Overview
8.3.2 North America System-On-Chip Market Revenue and Forecasts to 2027 (US$ Mn)
8.4 System-in-Package
8.4.1 Overview
8.4.2 North America System-In-Package Market Revenue and Forecasts to 2027 (US$ Mn)
8.5 Multi-Chip Module
8.5.1 Overview
8.5.2 North America Multi-Chip Module Revenue and Forecasts to 2027 (US$ Mn)
8.6 Others
8.6.1 Overview
8.6.2 North America Others Revenue and Forecasts to 2027 (US$ Mn)
9. North America Deep Learning Chip Market Analysis – By Industry Vertical
9.1 Overview
9.2 North America Deep Learning Chip Market Breakdown, By Industry Vertical, 2018 & 2027
9.3 Media & Advertising
9.3.1 Overview
9.3.2 North America Media & Advertising Market Revenue and Forecasts to 2027 (US$ Mn)
9.4 BFSI
9.4.1 Overview
9.4.2 North America North America BFSI Market Revenue and Forecasts to 2027 (US$ Mn)
9.5 IT & Telecom
9.5.1 Overview
9.5.2 North America IT & Telecom Market Revenue and Forecasts to 2027 (US$ Mn)
9.6 Retail
9.6.1 Overview
9.6.2 North America Retail Market Revenue and Forecasts to 2027 (US$ Mn)
9.7 Healthcare
9.7.1 Overview
9.7.2 North America Healthcare Market Revenue and Forecasts to 2027 (US$ Mn)
9.8 Automotive & Transportation
9.8.1 Overview
9.8.2 North America Automotive & Transportation Market Revenue and Forecasts to 2027 (US$ Mn)
9.9 Others
9.9.1 Overview
9.9.2 North America Others Market Revenue and Forecasts to 2027 (US$ Mn)
10. Deep Learning Chip Market – Geographic Analysis
10.1 Overview
10.1.1 North America Deep Learning Chip Market Revenue and Forecast to 2027 (US$ Mn)
10.1.2 North America Deep Learning Chip Market Breakdown, by Chip Type
10.1.3 North America Deep Learning Chip Market Breakdown, by Technology
10.1.4 North America Deep Learning Chip Market Breakdown, by Industry Vertical
10.1.5 North America Deep Learning Chip Market Breakdown, by Country
10.1.5.1 US Deep learning chip Market Revenue and Forecast to 2027 (US$ MN)
10.1.5.1.1 US Deep Learning Chip Market Breakdown, by Chip Type
10.1.5.1.2 US Deep Learning Chip Market Breakdown, by Technology
10.1.5.1.3 US Deep Learning Chip Market Breakdown, by Industry Vertical
10.1.5.2 Canada Deep learning chip Market Revenue and Forecast to 2027 (US$ MN)
10.1.5.2.1 Canada Deep Learning Chip Market Breakdown, by Chip Type
10.1.5.2.2 Canada Deep Learning Chip Market Breakdown, by Technology
10.1.5.2.3 Canada Deep Learning Chip Market Breakdown, by Industry Vertical
10.1.5.3 Mexico Deep Learning Chip Market Revenue and Forecast to 2027 (US$ Mn)
10.1.5.3.1 Mexico Deep Learning Chip Market Breakdown, by Chip Type
10.1.5.3.2 Mexico Deep Learning Chip Market Breakdown, by Technology
10.1.5.3.3 Mexico Deep Learning Chip Market Breakdown, by Industry Vertical
11. Industry Landscape
11.1 Overview
11.2 Market Initiative
11.3 Merger and Acquisition
11.4 New Development
12. Deep Learning Chip Market – Company Profiles
12.1 Advanced Micro Devices, Inc.
12.1.1 Key Facts
12.1.2 Business Description
12.1.3 Products and Services
12.1.4 Financial Overview
12.1.5 SWOT Analysis
12.1.6 Key Developments
12.2 Alphabet Inc. (Google)
12.2.1 Key Facts
12.2.2 Business Description
12.2.3 Products and Services
12.2.4 Financial Overview
12.2.5 SWOT Analysis
12.2.6 Key Developments
12.3 Amazon.com, Inc.
12.3.1 Key Facts
12.3.2 Business Description
12.3.3 Products and Services
12.3.4 Financial Overview
12.3.5 SWOT Analysis
12.3.6 Key Developments
12.4 Baidu, Inc.
12.4.1 Key Facts
12.4.2 Business Description
12.4.3 Products and Services
12.4.4 Financial Overview
12.4.5 SWOT Analysis
12.4.6 Key Developments
12.5 Huawei Technologies Co., Ltd.
12.5.1 Key Facts
12.5.2 Business Description
12.5.3 Products and Services
12.5.4 Financial Overview
12.5.5 SWOT Analysis
12.5.6 Key Developments
12.6 Intel Corporation
12.6.1 Key Facts
12.6.2 Business Description
12.6.3 Products and Services
12.6.4 Financial Overview
12.6.5 SWOT Analysis
12.6.6 Key Developments
12.7 NVIDIA Corporation
12.7.1 Key Facts
12.7.2 Business Description
12.7.3 Products and Services
12.7.4 Financial Overview
12.7.5 SWOT Analysis
12.7.6 Key Developments
12.8 Qualcomm Incorporated
12.8.1 Key Facts
12.8.2 Business Description
12.8.3 Products and Services
12.8.4 Financial Overview
12.8.5 SWOT Analysis
12.8.6 Key Developments
12.9 Samsung electronics Co., Ltd.
12.9.1 Key Facts
12.9.2 Business Description
12.9.3 Products and Services
12.9.4 Financial Overview
12.9.5 SWOT Analysis
12.9.6 Key Developments
12.10 Xilinx, Inc.
12.10.1 Key Facts
12.10.2 Business Description
12.10.3 Products and Services
12.10.4 Financial Overview
12.10.5 SWOT Analysis
12.10.6 Key Developments
13. Appendix
13.1 About The Insight Partners
13.2 Glossary
LIST OF TABLES
Table 1. North America Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ Mn)
Table 2. North America Deep Learning Chip Market Revenue and Forecast to 2027 – By Chip type (US$ Mn)
Table 3. North America Deep Learning Chip Market Revenue and Forecast to 2027 – By Technology (US$ Mn)
Table 4. North America Deep Learning Chip Market Revenue and Forecast to 2027 – By Industry Vertical (US$ Mn)
Table 5. US Deep Learning Chip Market Revenue and Forecast to 2027 – By chip Type (US$ Mn)
Table 6. US Deep Learning Chip Market Revenue and Forecast to 2027 – By Technology (US$ Mn)
Table 7. US Deep Learning Chip Market Revenue and Forecast to 2027 – By Industry Vertical (US$ Mn)
Table 8. Canada Deep Learning Chip Market Revenue and Forecast to 2027 – By Chip type (US$ Mn)
Table 9. Canada Deep Learning Chip Market Revenue and Forecast to 2027 – By Technology (US$ Mn)
Table 10. Canada Deep Learning Chip Market Revenue and Forecast to 2027 – By Industry Vertical (US$ Mn)
Table 11. Mexico Deep Learning Chip Market Revenue and Forecast to 2027 – By Chip Type (US$ Mn)
Table 12. Mexico Deep Learning Chip Market Revenue and Forecast to 2027 – By Technology (US$ Mn)
Table 13. Mexico Deep Learning Chip Market Revenue and Forecast to 2027 – By Industry Vertical (US$ Mn)
Table 14. Glossary of Terms, Deep Learning Chip Market
LIST OF FIGURES
Figure 1. North America Deep Learning Chip Market Segmentation
Figure 2. North America Deep Learning Chip Market Segmentation – By Country
Figure 3. North America Deep Learning Chip Market, By Country
Figure 4. North America Deep Learning Chip Market Competitive Landscape
Figure 5. North America Deep Learning Chip Market Overview
Figure 6. North America – PEST Analysis
Figure 7. Market Ecosystem Analysis
Figure 8. North America Deep Learning Chip Market Impact Analysis of Drivers and Restraints
Figure 9. North America Deep Learning Chip Market Forecast and Analysis
Figure 10. North America Deep Learning Chip Market Forecast and Analysis, (US$ Mn)
Figure 11. North America Deep Learning Chip Market Breakdown, By Chip Type, 2018 & 2027 (%)
Figure 12. North America GPU Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 13. North America ASIC Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 14. North America FPGA Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 15. North America CPU Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 16. North America Others Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 17. North America Deep Learning Chip Market Breakdown, By Technology, 2018 & 2027 (%)
Figure 18. North America System-On-Chip Revenue and Forecasts to 2027 (US$ Mn)
Figure 19. North America System-In-Package market Revenue and Forecasts to 2027 (US$ Mn)
Figure 20. North America Multi-Chip Module Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 21. North America Others market Revenue and Forecasts to 2027 (US$ Mn)
Figure 22. North America Deep Learning Chip Market Breakdown, By Industry Vertical, 2018 & 2027 (%)
Figure 23. North America Media & Advertising Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 24. North America BFSI Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 25. North America IT & Telecom Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 26. North America Retail Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 27. North America Healthcare Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 28. North America Automotive & Transportation Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 29. North America Others Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 30. North America Deep Learning Chip Market Revenue and Forecast to 2027 (US$ Mn)
Figure 31. North America Deep Learning Chip Market Breakdown, by Chip type, 2018 & 2027 (%)
Figure 32. North America Deep Learning Chip Market Breakdown, by Technology, 2018 & 2027 (%)
Figure 33. North America Deep Learning Chip Market Breakdown, by Industry Vertical, 2018 & 2027 (%)
Figure 34. North America Deep Learning Chip Market Breakdown, by Country, 2018 & 2027(%)
Figure 35. US Deep Learning Chip Market Revenue and Forecast to 2027 (US$ MN)
Figure 36. Canada Deep Learning Chip Market Revenue and Forecast to 2027 (US$ MN)
Figure 37. Mexico Deep Learning Chip Market Revenue and Forecast to 2027 (US$ MN)
The List of Companies - North America Deep Learning Chip Market
- Advanced Micro Devices, Inc.
- Amazon.com, Inc.
- Huawei Technologies Co., Ltd.
- Baidu, Inc.
- Alphabet Inc. (Google)
- Intel Corporation
- NVIDIA Corporation
- Qualcomm Technologies, Inc.
- Samsung Electronics Co. Ltd.
- Xilinx Inc.
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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