Deep Learning Chipset Market
Deep Learning Chipset Market Analysis by Central Processing Units, Graphics Processing Units, Field Programming Gate Arrays, and Application-specific Integrated Circuits from 2023 to 2033
Analysis of Deep Learning Chipset Market Covering 30+ Countries Including Analysis of US, Canada, UK, Germany, France, Nordics, GCC countries, Japan, Korea and many more
Deep Learning Chipset Market Outlook (2023 to 2033)
Newly-released deep learning chipset market analysis report by Fact.MR reveals that global sales of deep learning chipset in 2022 were held at US$ 4.7 Billion. With a 27.9% projected CAGR from 2023 to 2033, the market is expected to reach a valuation of US$ 72.8 billion by the end of the forecast period.
Deep learning chipset demand in manufacturing System on Chip (SOC) is expected to generate significant revenue and is projected to grow at a CAGR of over 27.5% from 2023 to 2033.
| Attributes | Details |
|---|---|
|
Deep Learning Chipset Market (2023) |
US$ 6.2 Billion |
|
Deep Learning Chipset Market (2033) |
US$ 72.8 Billion |
|
Deep Learning Chipset Market CAGR (2018-2022) |
34.1% |
|
U.S Deep Learning Chipset Market CAGR (2023 – 2033) |
26.5% |
|
Key Companies Covered |
|
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Revenue of Deep Learning Chipset Market from 2022 Compared to Demand Outlook for 2023 to 2033.
As per the Deep Learning Chipset Market Research by Fact.MR - a market research and competitive intelligence provider, historically, from 2018 to 2022, the market value increased by around 34.1% CAGR. With an absolute dollar opportunity of US$ 66.6 Billion during the forecast period, the market is projected to reach US$ 72.8 Billion valuation by 2033.
What Key Factors are Influencing the Industry’s Expansion?
The rise in the demand for deep learning in various industries such as healthcare, automobiles, consumer electronics, and aerospace & defense has played a significant role in the expansion of demand for the deep learning chipset in recent years. The surge in demand is due to the high volumes of data that are used by corporations to run deep learning and machine learning models to understand consumer behavior.
Deep learning chipsets are also increasingly being used in a wide variety of consumer electronics such as AR/VR headsets, smart speakers, and smartphones that utilize deep learning chips for their AI processing.
Along with the increase in the use of deep learning chips in consumer electronics, the emergence of quantum computing and the enhancement in the implementation of deep learning chips in robotics is projected to expand the market. Deep learning has been increasingly being implemented in smart home appliances such as smart speakers, smart bulbs, and smart thermostats, as deep learning can be used to collect user’s daily data from the devices, and then through using their data, consumers can be provided with appropriate products and functions according to their needs.
Smart homes are homes that consist of 2 or more smart appliances such as smart thermostats and smart bulbs. The number of smart homes in the world in 2021 was 258 million and the number of smart homes is projected to expand to around 478 million by 2025. Due to the rise in the consumer demand for smart home appliances, the demand for deep learning chips has expanded, therefore the market for deep learning chips is projected to expand during the assessment period.
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Which Region is Projected to account for Significant Revenue in the Market?
North America had a market size of US$ 19 billion in 2022 and is projected to account for a market worth US$ 30 Billion by 2033. The historical CAGR between 2018 and 2022 is 38%. The forecasted CAGR till 2033 is expected to be 41.3%.
The predominant factor driving the growth of the market in North America is the rise in the implementation of deep learning in cloud computing across several industries. Along with cloud computing, there is also a rise in the popularity of smart home appliances in the region that make use of the deep learning chip.
The number of smart homes in the region is projected to reach around 112 million by the year 2022. This rise in the popularity of deep learning in smart home appliances is expected to expand the market for deep learning chips in the region during the assessment period.
Country- Wise analysis
United States Deep Learning Chipset Markets Market Analysis :
The market in the United States is expected to grow to be worth US$ 23.5 Billion by 2033 with an absolute dollar growth of US$ 21.2 Billion. The market in the United States has grown at a CAGR of 32.2% from 2018 to 2022 and is expected to grow at a CAGR of 26.5% from 2023 to 2033.
The market in the United States is projected to expand owing to an increase in investment in AI by various companies in the country. Deep learning chips that are predominantly used in smart home appliances to witness significant growth during the assessment period.
According to a survey conducted, around 40 million households in the United States owned smart home appliances such as smart speakers and smart bulbs in 2019. It is projected that by 2025 about 64 million households will be using smart home devices. This rise in the popularity of smart home devices in the country is projected to expand the market of deep learning chipset in the country during the assessment period.
U.K. Deep Learning Chipset Market Analysis :
The market in the U.K. is expected to grow to be worth US$ 3.7 Billion by 2033 with an absolute dollar growth of US$ 3.3 billion. The market in the U.K. has grown at a CAGR of 32.6% from 2018 to 2022 and is expected to grow at a CAGR of 26.9%.
The United Kingdom has a significant market for smart home appliances. There were around 2.2 million households with smart home appliances installed in 2018. It is projected the number of households with smart home appliances will reach around 29 million households by 2027. This rise in the number of people buying smart home appliances will expand the market during the assessment period.
China Deep Learning Chipset Markets Market Analysis :
The market in China is expected to grow to be worth US$ 6.1 Billion by 2033, with an absolute dollar growth of US$ 5.6 Billion till 2033. The market in China has grown at a CAGR of 36% from 2018 to 2022 and is expected to grow at a CAGR of 29% from 2023 to 2033.
There were around 78 million homes with smart appliances in China in 2021. The number of homes with smart home appliances is projected to rise to about 169 million households by 2027. This rise in demand is due to the rise in the popularity of smart home devices and a rise in the disposable income of the population. Due to the rise in demand for smart home devices in China, the market for deep learning chip is projected to expand during the assessment period.
Japan Deep Learning Chipset Markets Market Analysis :
The market in Japan is expected to grow to be worth US$ 5.2 Billion by 2033, with an absolute dollar growth of US$ 4.7 billion by 2033. The market in Japan has grown at a CAGR of 33.1% from 2018 to 2022 and is expected to grow at a CAGR of 27.2% from 2023 to 2033.
The number of households with smart appliances is projected to reach 40 million with around 70% of households installing smart home appliances in Japan. This rise in the demand for smart home appliances in the country will increase the demand for deep-learning chipsets used in the appliances. Therefore, the market for smart home appliances is projected to expand during the assessment period.
South Korea Deep Learning Chipset Markets Market Analysis :
The market in South Korea is expected to grow to be worth US$ 2.9 Billion by 2033, with an absolute dollar growth of US$ 2.6 Billion till 2033. The market in South Korea has grown at a CAGR of 35% from 2018 to 2022 and are expected to grow at a CAGR of 28.3% from 2023 to 2033.
The number of households with smart appliances is projected to reach around 22 million users in South Korea by 2027. The rise in demand is due to the growing inclination towards smart homes by the younger population in the country. This rise in demand for smart home appliances will increase the demand for deep learning chips in South Korea owing to which the market for deep learning chips in South Korea is projected to expand during the assessment period.
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Category-wise Insights
Which Type of the Deep Learning Chipset is projected to Witness Significant Growth?
The Deep Learning Chipset used in Graphics Processing Units is projected to witness significant growth as it has grown at a CAGR of 33.6% from 2018 to 2022 and is expected to grow at a CAGR of 27.7% from 2023 to 2033.
The graphics processing unit (GPU) is a logic chip that is used for rendering images, animation, and videos and is also used for general computing purposes as well. The recent advancements and emergence of applications such as AR/VR, high-performance computing, AI, ML, Blockchain, and Cryptocurrency mining are expanding the demand for GPU across the world.
GPUs are also used in high-end personal computers and gaming consoles and the rise in the popularity of the gaming industry and increasing demand for personal computers across the world is also projected to expand the demand for GPUs globally.
Which Technology of Deep Learning Chipset is Expected to be Most Lucrative?
Deep learning chipset used to manufacture system on chip is projected to witness prominent growth as it has grown at a CAGR of 33.1% from 2018 to 2022 and is expected to grow at a CAGR of 27.5 % from 2023 to 2033.
The System on Chip (SOC) is an integrated circuit that usually takes a single platform and integrates an entire computer system onto it. The factors affecting the expansion in the demand for systems on chips include the surge in the demand for smart and power-efficient electronic devices and rise in the adoption of IoT globally.
Competitive Analysis :
technologies to develop advanced algorithms for better functioning of their deep learning chips.
The key players in the market include Alphabet Inc., Amazon.Com, Inc., Advanced Micro Devices, Inc., Baidu, Inc., Bitmain Technologies Ltd., Intel Corporation, Nvidia Corporation, Qualcomm Incorporated, Samsung Electronics Co. Ltd., and Xilinx, Inc
A few of the recent developments in the market are :
- In March 2022 - Google and UC Berkley announced that they have found a way to use artificial intelligence to design faster and smaller chips. Using this, google aims to produce smaller and more efficient chips.
- In May 2020 - Neuchips Corporation, announced the world’s first recommendation engine RecAccel which can perform 500,000 interfaces per second.
- In December 2019 - Intel Corporation acquired HABANA labs ltd., an Israeli start-up that is working on deep learning algorithms. This acquisition will strengthen the AI capability of Intel Corporation.
- In November 2019 - Intel Corporation launched Nervana Neural Network processors for deep learning. This chip will enable intel to strengthen itself in the deep-learning chip market.
Segmentation of the 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)
-
By Technology :
- System-on-chip - SOC
- System-in-package - SIP
- Multi-Chip Module
-
By Region :
- North America
- Latin America
- Europe
- Asia Pacific
- Middle East and Africa
Table of Content
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Product Life Cycle Analysis 3.5. Supply Chain Analysis 3.5.1. Supply Side Participants and their Roles 3.5.1.1. Producers 3.5.1.2. Mid-Level Participants (Traders/ Agents/ Brokers) 3.5.1.3. Wholesalers and Distributors 3.5.2. Value Added and Value Created at Node in the Supply Chain 3.5.3. List of Raw Material Suppliers 3.5.4. List of Existing and Potential Buyer’s 3.6. Investment Feasibility Matrix 3.7. Value Chain Analysis 3.7.1. Profit Margin Analysis 3.7.2. Wholesalers and Distributors 3.7.3. Retailers 3.8. PESTLE and Porter’s Analysis 3.9. Regulatory Landscape 3.9.1. By Key Regions 3.9.2. By Key Countries 3.10. Regional Parent Market Outlook 3.11. Production and Consumption Statistics 3.12. Import and Export Statistics 4. Global Market Analysis 2018-2022 and Forecast, 2023-2033 4.1. Historical Market Size Value (US$ Mn) & Volume (Units) Analysis, 2018-2022 4.2. Current and Future Market Size Value (US$ Mn) & Volume (Units) Projections, 2023-2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018-2022 and Forecast 2023-2033, By Type 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Mn) & Volume (Units) Analysis By Type, 2018-2022 5.3. Current and Future Market Size Value (US$ Mn) & Volume (Units) Analysis and Forecast By Type, 2023-2033 5.3.1. Central Processing Units - CPUs 5.3.2. Graphics Processing Units - GPUs 5.3.3. Field Programmable Gate Arrays - FPGAs 5.3.4. Application-Specific Integrated Circuits - ASICs 5.3.5. Others - NPU & Hybrid Chip 5.4. Y-o-Y Growth Trend Analysis By Type, 2018-2022 5.5. Absolute $ Opportunity Analysis By Type, 2023-2033 6. Global Market Analysis 2018-2022 and Forecast 2023-2033, By Technology 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Mn) & Volume (Units) Analysis By Technology, 2018-2022 6.3. Current and Future Market Size Value (US$ Mn) & Volume (Units) Analysis and Forecast By Technology, 2023-2033 6.3.1. System-on-chip - SOC 6.3.2. System-in-package - SIP 6.3.3. Multi-Chip Module 6.3.4. Others 6.4. Y-o-Y Growth Trend Analysis By Technology, 2018-2022 6.5. Absolute $ Opportunity Analysis By Technology, 2023-2033 7. Global Market Analysis 2018-2022 and Forecast 2023-2033, By Region 7.1. Introduction 7.2. Historical Market Size Value (US$ Mn) & Volume (Units) Analysis By Region, 2018-2022 7.3. Current Market Size Value (US$ Mn) & Volume (Units) Analysis and Forecast By Region, 2023-2033 7.3.1. North America 7.3.2. Latin America 7.3.3. Europe 7.3.4. Asia Pacific 7.3.5. MEA 7.4. Market Attractiveness Analysis By Region 8. North America Market Analysis 2018-2022 and Forecast 2023-2033, By Country 8.1. Historical Market Size Value (US$ Mn) & Volume (Units) Trend Analysis By Market Taxonomy, 2018-2022 8.2. Market Size Value (US$ Mn) & Volume (Units) Forecast By Market Taxonomy, 2023-2033 8.2.1. By Country 8.2.1.1. U.S. 8.2.1.2. Canada 8.2.2. By Type 8.2.3. By Technology 8.3. Market Attractiveness Analysis 8.3.1. By Country 8.3.2. By Type 8.3.3. By Technology 8.4. Key Takeaways 9. Latin America Market Analysis 2018-2022 and Forecast 2023-2033, By Country 9.1. Historical Market Size Value (US$ Mn) & Volume (Units) Trend Analysis By Market Taxonomy, 2018-2022 9.2. Market Size Value (US$ Mn) & Volume (Units) Forecast By Market Taxonomy, 2023-2033 9.2.1. By Country 9.2.1.1. Brazil 9.2.1.2. Mexico 9.2.1.3. Rest of Latin America 9.2.2. By Type 9.2.3. By Technology 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Type 9.3.3. By Technology 9.4. Key Takeaways 10. Europe Market Analysis 2018-2022 and Forecast 2023-2033, By Country 10.1. Historical Market Size Value (US$ Mn) & Volume (Units) Trend Analysis By Market Taxonomy, 2018-2022 10.2. Market Size Value (US$ Mn) & Volume (Units) Forecast By Market Taxonomy, 2023-2033 10.2.1. By Country 10.2.1.1. Germany 10.2.1.2. U.K. 10.2.1.3. France 10.2.1.4. Spain 10.2.1.5. Italy 10.2.1.6. Rest of Europe 10.2.2. By Type 10.2.3. By Technology 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Type 10.3.3. By Technology 10.4. Key Takeaways 11. Asia Pacific Market Analysis 2018-2022 and Forecast 2023-2033, By Country 11.1. Historical Market Size Value (US$ Mn) & Volume (Units) Trend Analysis By Market Taxonomy, 2018-2022 11.2. Market Size Value (US$ Mn) & Volume (Units) Forecast By Market Taxonomy, 2023-2033 11.2.1. By Country 11.2.1.1. China 11.2.1.2. Japan 11.2.1.3. South Korea 11.2.1.4. Singapore 11.2.1.5. Thailand 11.2.1.6. Indonesia 11.2.1.7. Australia 11.2.1.8. New Zealand 11.2.1.9. Rest of Asia Pacific 11.2.2. By Type 11.2.3. By Technology 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Type 11.3.3. By Technology 11.4. Key Takeaways 12. MEA Market Analysis 2018-2022 and Forecast 2023-2033, By Country 12.1. Historical Market Size Value (US$ Mn) & Volume (Units) Trend Analysis By Market Taxonomy, 2018-2022 12.2. Market Size Value (US$ Mn) & Volume (Units) Forecast By Market Taxonomy, 2023-2033 12.2.1. By Country 12.2.1.1. GCC Countries 12.2.1.2. South Africa 12.2.1.3. Israel 12.2.1.4. Rest of MEA 12.2.2. By Type 12.2.3. By Technology 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Type 12.3.3. By Technology 12.4. Key Takeaways 13. Key Countries Market Analysis 13.1. U.S. 13.1.1. Pricing Analysis 13.1.2. Market Share Analysis, 2022 13.1.2.1. By Type 13.1.2.2. By Technology 13.2. Canada 13.2.1. Pricing Analysis 13.2.2. Market Share Analysis, 2022 13.2.2.1. By Type 13.2.2.2. By Technology 13.3. Brazil 13.3.1. Pricing Analysis 13.3.2. Market Share Analysis, 2022 13.3.2.1. By Type 13.3.2.2. By Technology 13.4. Mexico 13.4.1. Pricing Analysis 13.4.2. Market Share Analysis, 2022 13.4.2.1. By Type 13.4.2.2. By Technology 13.5. Germany 13.5.1. Pricing Analysis 13.5.2. Market Share Analysis, 2022 13.5.2.1. By Type 13.5.2.2. By Technology 13.6. U.K. 13.6.1. Pricing Analysis 13.6.2. Market Share Analysis, 2022 13.6.2.1. By Type 13.6.2.2. By Technology 13.7. France 13.7.1. Pricing Analysis 13.7.2. Market Share Analysis, 2022 13.7.2.1. By Type 13.7.2.2. By Technology 13.8. Spain 13.8.1. Pricing Analysis 13.8.2. Market Share Analysis, 2022 13.8.2.1. By Type 13.8.2.2. By Technology 13.9. Italy 13.9.1. Pricing Analysis 13.9.2. Market Share Analysis, 2022 13.9.2.1. By Type 13.9.2.2. By Technology 13.10. China 13.10.1. Pricing Analysis 13.10.2. Market Share Analysis, 2022 13.10.2.1. By Type 13.10.2.2. By Technology 13.11. Japan 13.11.1. Pricing Analysis 13.11.2. Market Share Analysis, 2022 13.11.2.1. By Type 13.11.2.2. By Technology 13.12. South Korea 13.12.1. Pricing Analysis 13.12.2. Market Share Analysis, 2022 13.12.2.1. By Type 13.12.2.2. By Technology 13.13. Singapore 13.13.1. Pricing Analysis 13.13.2. Market Share Analysis, 2022 13.13.2.1. By Type 13.13.2.2. By Technology 13.14. Thailand 13.14.1. Pricing Analysis 13.14.2. Market Share Analysis, 2022 13.14.2.1. By Type 13.14.2.2. By Technology 13.15. Indonesia 13.15.1. Pricing Analysis 13.15.2. Market Share Analysis, 2022 13.15.2.1. By Type 13.15.2.2. By Technology 13.16. Australia 13.16.1. Pricing Analysis 13.16.2. Market Share Analysis, 2022 13.16.2.1. By Type 13.16.2.2. By Technology 13.17. New Zealand 13.17.1. Pricing Analysis 13.17.2. Market Share Analysis, 2022 13.17.2.1. By Type 13.17.2.2. By Technology 13.18. GCC Countries 13.18.1. Pricing Analysis 13.18.2. Market Share Analysis, 2022 13.18.2.1. By Type 13.18.2.2. By Technology 13.19. South Africa 13.19.1. Pricing Analysis 13.19.2. Market Share Analysis, 2022 13.19.2.1. By Type 13.19.2.2. By Technology 13.20. Israel 13.20.1. Pricing Analysis 13.20.2. Market Share Analysis, 2022 13.20.2.1. By Type 13.20.2.2. By Technology 14. Market Structure Analysis 14.1. Competition Dashboard 14.2. Competition Benchmarking 14.3. Market Share Analysis of Top Players 14.3.1. By Regional 14.3.2. By Type 14.3.3. By Technology 15. Competition Analysis 15.1. Competition Deep Dive 15.1.1. Alphabet Inc. 15.1.1.1. Overview 15.1.1.2. Product Portfolio 15.1.1.3. Profitability by Market Segments 15.1.1.4. Sales Footprint 15.1.1.5. Strategy Overview 15.1.1.5.1. Marketing Strategy 15.1.1.5.2. Product Strategy 15.1.1.5.3. Channel Strategy 15.1.2. Amazon.Com, Inc. 15.1.2.1. Overview 15.1.2.2. Product Portfolio 15.1.2.3. Profitability by Market Segments 15.1.2.4. Sales Footprint 15.1.2.5. Strategy Overview 15.1.2.5.1. Marketing Strategy 15.1.2.5.2. Product Strategy 15.1.2.5.3. Channel Strategy 15.1.3. Advanced Micro Devices, Inc. 15.1.3.1. Overview 15.1.3.2. Product Portfolio 15.1.3.3. Profitability by Market Segments 15.1.3.4. Sales Footprint 15.1.3.5. Strategy Overview 15.1.3.5.1. Marketing Strategy 15.1.3.5.2. Product Strategy 15.1.3.5.3. Channel Strategy 15.1.4. Baidu, Inc. 15.1.4.1. Overview 15.1.4.2. Product Portfolio 15.1.4.3. Profitability by Market Segments 15.1.4.4. Sales Footprint 15.1.4.5. Strategy Overview 15.1.4.5.1. Marketing Strategy 15.1.4.5.2. Product Strategy 15.1.4.5.3. Channel Strategy 15.1.5. Bitmain Technologies Ltd. 15.1.5.1. Overview 15.1.5.2. Product Portfolio 15.1.5.3. Profitability by Market Segments 15.1.5.4. Sales Footprint 15.1.5.5. Strategy Overview 15.1.5.5.1. Marketing Strategy 15.1.5.5.2. Product Strategy 15.1.5.5.3. Channel Strategy 15.1.6. Intel Corporation 15.1.6.1. Overview 15.1.6.2. Product Portfolio 15.1.6.3. Profitability by Market Segments 15.1.6.4. Sales Footprint 15.1.6.5. Strategy Overview 15.1.6.5.1. Marketing Strategy 15.1.6.5.2. Product Strategy 15.1.6.5.3. Channel Strategy 15.1.7. Nvidia Corporation 15.1.7.1. Overview 15.1.7.2. Product Portfolio 15.1.7.3. Profitability by Market Segments 15.1.7.4. Sales Footprint 15.1.7.5. Strategy Overview 15.1.7.5.1. Marketing Strategy 15.1.7.5.2. Product Strategy 15.1.7.5.3. Channel Strategy 15.1.8. Qualcomm Incorporated 15.1.8.1. Overview 15.1.8.2. Product Portfolio 15.1.8.3. Profitability by Market Segments 15.1.8.4. Sales Footprint 15.1.8.5. Strategy Overview 15.1.8.5.1. Marketing Strategy 15.1.8.5.2. Product Strategy 15.1.8.5.3. Channel Strategy 15.1.9. Samsung Electronics Co. Ltd. 15.1.9.1. Overview 15.1.9.2. Product Portfolio 15.1.9.3. Profitability by Market Segments 15.1.9.4. Sales Footprint 15.1.9.5. Strategy Overview 15.1.9.5.1. Marketing Strategy 15.1.9.5.2. Product Strategy 15.1.9.5.3. Channel Strategy 15.1.10. Xilinx, Inc 15.1.10.1. Overview 15.1.10.2. Product Portfolio 15.1.10.3. Profitability by Market Segments 15.1.10.4. Sales Footprint 15.1.10.5. Strategy Overview 15.1.10.5.1. Marketing Strategy 15.1.10.5.2. Product Strategy 15.1.10.5.3. Channel Strategy 16. Assumptions & Acronyms Used 17. Research Methodology
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List Of Table
Table 01: Global Market Value (US$ Mn) Forecast by Region, 2018-2033
Table 02: Global Market Volume (Units) Forecast by Region, 2018-2033
Table 03: Global Market Value (US$ Mn) Forecast by Type, 2018-2033
Table 04: Global Market Volume (Units) Forecast by Type, 2018-2033
Table 05: Global Market Value (US$ Mn) Forecast by Technology, 2018-2033
Table 06: Global Market Volume (Units) Forecast by Technology, 2018-2033
Table 07: North America Market Value (US$ Mn) Forecast by Country, 2018-2033
Table 08: North America Market Volume (Units) Forecast by Country, 2018-2033
Table 09: North America Market Value (US$ Mn) Forecast by Type, 2018-2033
Table 10: North America Market Volume (Units) Forecast by Type, 2018-2033
Table 11: North America Market Value (US$ Mn) Forecast by Technology, 2018-2033
Table 12: North America Market Volume (Units) Forecast by Technology, 2018-2033
Table 13: Latin America Market Value (US$ Mn) Forecast by Country, 2018-2033
Table 14: Latin America Market Volume (Units) Forecast by Country, 2018-2033
Table 15: Latin America Market Value (US$ Mn) Forecast by Type, 2018-2033
Table 16: Latin America Market Volume (Units) Forecast by Type, 2018-2033
Table 17: Latin America Market Value (US$ Mn) Forecast by Technology, 2018-2033
Table 18: Latin America Market Volume (Units) Forecast by Technology, 2018-2033
Table 19: Europe Market Value (US$ Mn) Forecast by Country, 2018-2033
Table 20: Europe Market Volume (Units) Forecast by Country, 2018-2033
Table 21: Europe Market Value (US$ Mn) Forecast by Type, 2018-2033
Table 22: Europe Market Volume (Units) Forecast by Type, 2018-2033
Table 23: Europe Market Value (US$ Mn) Forecast by Technology, 2018-2033
Table 24: Europe Market Volume (Units) Forecast by Technology, 2018-2033
Table 25: Asia Pacific Market Value (US$ Mn) Forecast by Country, 2018-2033
Table 26: Asia Pacific Market Volume (Units) Forecast by Country, 2018-2033
Table 27: Asia Pacific Market Value (US$ Mn) Forecast by Type, 2018-2033
Table 28: Asia Pacific Market Volume (Units) Forecast by Type, 2018-2033
Table 29: Asia Pacific Market Value (US$ Mn) Forecast by Technology, 2018-2033
Table 30: Asia Pacific Market Volume (Units) Forecast by Technology, 2018-2033
Table 31: MEA Market Value (US$ Mn) Forecast by Country, 2018-2033
Table 32: MEA Market Volume (Units) Forecast by Country, 2018-2033
Table 33: MEA Market Value (US$ Mn) Forecast by Type, 2018-2033
Table 34: MEA Market Volume (Units) Forecast by Type, 2018-2033
Table 35: MEA Market Value (US$ Mn) Forecast by Technology, 2018-2033
Table 36: MEA Market Volume (Units) Forecast by Technology, 2018-2033
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List Of Figures
Figure 01: Global Market Value (US$ Mn) by Type, 2023-2033
Figure 02: Global Market Value (US$ Mn) by Technology, 2023-2033
Figure 03: Global Market Value (US$ Mn) by Region, 2023-2033
Figure 04: Global Market Value (US$ Mn) Analysis by Region, 2018-2033
Figure 05: Global Market Volume (Units) Analysis by Region, 2018-2033
Figure 06: Global Market Value Share (%) and BPS Analysis by Region, 2023-2033
Figure 07: Global Market Y-o-Y Growth (%) Projections by Region, 2023-2033
Figure 08: Global Market Value (US$ Mn) Analysis by Type, 2018-2033
Figure 09: Global Market Volume (Units) Analysis by Type, 2018-2033
Figure 10: Global Market Value Share (%) and BPS Analysis by Type, 2023-2033
Figure 11: Global Market Y-o-Y Growth (%) Projections by Type, 2023-2033
Figure 12: Global Market Value (US$ Mn) Analysis by Technology, 2018-2033
Figure 13: Global Market Volume (Units) Analysis by Technology, 2018-2033
Figure 14: Global Market Value Share (%) and BPS Analysis by Technology, 2023-2033
Figure 15: Global Market Y-o-Y Growth (%) Projections by Technology, 2023-2033
Figure 16: Global Market Attractiveness by Type, 2023-2033
Figure 17: Global Market Attractiveness by Technology, 2023-2033
Figure 18: Global Market Attractiveness by Region, 2023-2033
Figure 19: North America Market Value (US$ Mn) by Type, 2023-2033
Figure 20: North America Market Value (US$ Mn) by Technology, 2023-2033
Figure 21: North America Market Value (US$ Mn) by Country, 2023-2033
Figure 22: North America Market Value (US$ Mn) Analysis by Country, 2018-2033
Figure 23: North America Market Volume (Units) Analysis by Country, 2018-2033
Figure 24: North America Market Value Share (%) and BPS Analysis by Country, 2023-2033
Figure 25: North America Market Y-o-Y Growth (%) Projections by Country, 2023-2033
Figure 26: North America Market Value (US$ Mn) Analysis by Type, 2018-2033
Figure 27: North America Market Volume (Units) Analysis by Type, 2018-2033
Figure 28: North America Market Value Share (%) and BPS Analysis by Type, 2023-2033
Figure 29: North America Market Y-o-Y Growth (%) Projections by Type, 2023-2033
Figure 30: North America Market Value (US$ Mn) Analysis by Technology, 2018-2033
Figure 31: North America Market Volume (Units) Analysis by Technology, 2018-2033
Figure 32: North America Market Value Share (%) and BPS Analysis by Technology, 2023-2033
Figure 33: North America Market Y-o-Y Growth (%) Projections by Technology, 2023-2033
Figure 34: North America Market Attractiveness by Type, 2023-2033
Figure 35: North America Market Attractiveness by Technology, 2023-2033
Figure 36: North America Market Attractiveness by Country, 2023-2033
Figure 37: Latin America Market Value (US$ Mn) by Type, 2023-2033
Figure 38: Latin America Market Value (US$ Mn) by Technology, 2023-2033
Figure 39: Latin America Market Value (US$ Mn) by Country, 2023-2033
Figure 40: Latin America Market Value (US$ Mn) Analysis by Country, 2018-2033
Figure 41: Latin America Market Volume (Units) Analysis by Country, 2018-2033
Figure 42: Latin America Market Value Share (%) and BPS Analysis by Country, 2023-2033
Figure 43: Latin America Market Y-o-Y Growth (%) Projections by Country, 2023-2033
Figure 44: Latin America Market Value (US$ Mn) Analysis by Type, 2018-2033
Figure 45: Latin America Market Volume (Units) Analysis by Type, 2018-2033
Figure 46: Latin America Market Value Share (%) and BPS Analysis by Type, 2023-2033
Figure 47: Latin America Market Y-o-Y Growth (%) Projections by Type, 2023-2033
Figure 48: Latin America Market Value (US$ Mn) Analysis by Technology, 2018-2033
Figure 49: Latin America Market Volume (Units) Analysis by Technology, 2018-2033
Figure 50: Latin America Market Value Share (%) and BPS Analysis by Technology, 2023-2033
Figure 51: Latin America Market Y-o-Y Growth (%) Projections by Technology, 2023-2033
Figure 52: Latin America Market Attractiveness by Type, 2023-2033
Figure 53: Latin America Market Attractiveness by Technology, 2023-2033
Figure 54: Latin America Market Attractiveness by Country, 2023-2033
Figure 55: Europe Market Value (US$ Mn) by Type, 2023-2033
Figure 56: Europe Market Value (US$ Mn) by Technology, 2023-2033
Figure 57: Europe Market Value (US$ Mn) by Country, 2023-2033
Figure 58: Europe Market Value (US$ Mn) Analysis by Country, 2018-2033
Figure 59: Europe Market Volume (Units) Analysis by Country, 2018-2033
Figure 60: Europe Market Value Share (%) and BPS Analysis by Country, 2023-2033
Figure 61: Europe Market Y-o-Y Growth (%) Projections by Country, 2023-2033
Figure 62: Europe Market Value (US$ Mn) Analysis by Type, 2018-2033
Figure 63: Europe Market Volume (Units) Analysis by Type, 2018-2033
Figure 64: Europe Market Value Share (%) and BPS Analysis by Type, 2023-2033
Figure 65: Europe Market Y-o-Y Growth (%) Projections by Type, 2023-2033
Figure 66: Europe Market Value (US$ Mn) Analysis by Technology, 2018-2033
Figure 67: Europe Market Volume (Units) Analysis by Technology, 2018-2033
Figure 68: Europe Market Value Share (%) and BPS Analysis by Technology, 2023-2033
Figure 69: Europe Market Y-o-Y Growth (%) Projections by Technology, 2023-2033
Figure 70: Europe Market Attractiveness by Type, 2023-2033
Figure 71: Europe Market Attractiveness by Technology, 2023-2033
Figure 72: Europe Market Attractiveness by Country, 2023-2033
Figure 73: Asia Pacific Market Value (US$ Mn) by Type, 2023-2033
Figure 74: Asia Pacific Market Value (US$ Mn) by Technology, 2023-2033
Figure 75: Asia Pacific Market Value (US$ Mn) by Country, 2023-2033
Figure 76: Asia Pacific Market Value (US$ Mn) Analysis by Country, 2018-2033
Figure 77: Asia Pacific Market Volume (Units) Analysis by Country, 2018-2033
Figure 78: Asia Pacific Market Value Share (%) and BPS Analysis by Country, 2023-2033
Figure 79: Asia Pacific Market Y-o-Y Growth (%) Projections by Country, 2023-2033
Figure 80: Asia Pacific Market Value (US$ Mn) Analysis by Type, 2018-2033
Figure 81: Asia Pacific Market Volume (Units) Analysis by Type, 2018-2033
Figure 82: Asia Pacific Market Value Share (%) and BPS Analysis by Type, 2023-2033
Figure 83: Asia Pacific Market Y-o-Y Growth (%) Projections by Type, 2023-2033
Figure 84: Asia Pacific Market Value (US$ Mn) Analysis by Technology, 2018-2033
Figure 85: Asia Pacific Market Volume (Units) Analysis by Technology, 2018-2033
Figure 86: Asia Pacific Market Value Share (%) and BPS Analysis by Technology, 2023-2033
Figure 87: Asia Pacific Market Y-o-Y Growth (%) Projections by Technology, 2023-2033
Figure 88: Asia Pacific Market Attractiveness by Type, 2023-2033
Figure 89: Asia Pacific Market Attractiveness by Technology, 2023-2033
Figure 90: Asia Pacific Market Attractiveness by Country, 2023-2033
Figure 91: MEA Market Value (US$ Mn) by Type, 2023-2033
Figure 92: MEA Market Value (US$ Mn) by Technology, 2023-2033
Figure 93: MEA Market Value (US$ Mn) by Country, 2023-2033
Figure 94: MEA Market Value (US$ Mn) Analysis by Country, 2018-2033
Figure 95: MEA Market Volume (Units) Analysis by Country, 2018-2033
Figure 96: MEA Market Value Share (%) and BPS Analysis by Country, 2023-2033
Figure 97: MEA Market Y-o-Y Growth (%) Projections by Country, 2023-2033
Figure 98: MEA Market Value (US$ Mn) Analysis by Type, 2018-2033
Figure 99: MEA Market Volume (Units) Analysis by Type, 2018-2033
Figure 100: MEA Market Value Share (%) and BPS Analysis by Type, 2023-2033
Figure 101: MEA Market Y-o-Y Growth (%) Projections by Type, 2023-2033
Figure 102: MEA Market Value (US$ Mn) Analysis by Technology, 2018-2033
Figure 103: MEA Market Volume (Units) Analysis by Technology, 2018-2033
Figure 104: MEA Market Value Share (%) and BPS Analysis by Technology, 2023-2033
Figure 105: MEA Market Y-o-Y Growth (%) Projections by Technology, 2023-2033
Figure 106: MEA Market Attractiveness by Type, 2023-2033
Figure 107: MEA Market Attractiveness by Technology, 2023-2033
Figure 108: MEA Market Attractiveness by Country, 2023-2033
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- FAQs -
What was the global Market size for 2022?
The global market was worth US$ 4.7 Billion in 2022.
What value is the Market estimated to reach in 2023?
The global market is projected to reach a valuation of US$ 6.2 Billion in 2023.
What valuation is the Market expected to reach by 2033?
The market valuation will reach US$ 72.8 Billion by 2033.
What value CAGR did the market exhibit over the last four years?
The market grew at a CAGR of over 34.1% in past four years.
What is the projected CAGR for Deep Learning Chipset Market from 2023 to 2033?
The market is projected to grow at a CAGR of 27.9% during the forecast period.
Which type of deep learning chip will garner significant value share by 2023?
Deep learning chipset used in graphics processing Unit will garner a significant value share by 2023.
Deep Learning Chipset Market