The global deep learning chip market is expected to reach a market size of USD 27.75 Billion by 2028 and register a high revenue CAGR, according to latest analysis by Emergen Research. Increasing quantum computing adoption is expected to drive global deep learning chip market growth to a significant extent during the forecast period. Rising implementation of deep learning chips for robotics is expected to further propel global deep learning chip market growth. Increasing investment in Artificial Intelligence startups is projected to continue to support growth of the global deep learning chip market going ahead.
The latest market intelligence report, titled ‘Global Smart Kitchen Appliances Market’, is intended to provide the target audience with the necessary information about the global Smart Kitchen Appliances Market industry. The report comprises a detailed analysis of the vital elements of the Smart Kitchen Appliances Market, including key drivers, constraints, opportunities, limitations, threats, and micro- and macro-economic factors. The report carefully investigates the present market scenario and the fundamental growth prospects. The report entails an organized database of the Smart Kitchen Appliances Market dynamics that helps market analysts estimate the global market growth rate over the projected timeline.
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Covid 19 analysis:
The current COVID-19 pandemic is expected to have an effect on the growth of the Smart Kitchen Appliances Market industry majorly attributable to the movement restrictions and impact on the supply and demand due to the lockdowns. The COVID-19 pandemic has affected several sectors of the global market, and the Smart Kitchen Appliances Market sector is expected to feel the impact of the pandemic. The economic slowdown and dynamic changes in the demands will further affect the growth of the industry. The report covers the impact analysis of the COVID-19 pandemic on the overall Smart Kitchen Appliances Market industry.
Key Highlights of Report
Applications of graphics processing unit (GPU) to develop deep learning chip has been increasing as GPU can simultaneously compute, and this is a key factor driving revenue growth of the graphics processing unit (GPU) segment currently. This segment is expected to register a significantly high revenue CAGR of 30.9% over the forecast period.
In terms of revenue, the system-in-package (SIP) segment is expected to register significant growth during the forecast period due to rising adoption to develop deep learning chips as system-in-package offers benefits such as at the level of printed circuit board (PCB).
In terms of market share, the consumer electronics segment is expected to lead during the forecast period due to rising implementation of Artificial Intelligence in consumer electronics devices.
Key players in the market include :
Google LLC, Advanced Micro Devices, Inc., Intel Corporation, Bitmain Technologies Ltd., NVIDIA Corporation, Amazon.com, Inc., Samsung Electronics Co., Ltd., Qualcomm Incorporated, Huawei Technologies Co., Ltd, and Xilinx, Inc
Summary of the key points of the report:
Company Profiles: This component of the report depicts the company profiles of the leading players participating in the Smart Kitchen Appliances Market industry. The market value & volume, production capacity, product portfolios, and other vital aspects of these players have been assessed in this report.
Report Overview: This section provides data and information pertaining to the key market manufacturers, their product offerings, historical and future timelines considered, and market scope. It further highlights the principal market segments, including product types, application gamut, end-user industries, and regional analysis.
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Emergen Research has segmented the global deep learning chip market on the basis of chip type, technology, end-use, and region.
Chip Type Outlook (Revenue, USD Billion; 2021–2028)
Graphics Processing Unit (GPU)
Application-Specific Integrated Circuit (ASIC)
Field-Programmable Gate Array (FPGA)
Central Processing Unit (CPU)
Technology Outlook (Revenue, USD Billion; 2021–2028)
End-use Outlook (Revenue, USD Billion; 2021–2028)
IT & Telecommunication
Comprehensive Regional Analysis Covers the Following Regions:
North America (U.S., Canada, Mexico)
Europe (U.K., Italy, Germany, France, Rest of EU)
Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
Latin America (Chile, Brazil, Argentina, Rest of Latin America)
Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
Objectives of the Global Smart Kitchen Appliances Market Study:
An in-depth study of the evolving market sectors and the growth & penetration status of the global Smart Kitchen Appliances Market.
COVID-19 Impact Analysis to highlight the major opportunities and challenges
Strategic recommendations to help readers formulate lucrative business strategies
Identification of the emerging players and their tactical approaches to expand market presence
An extensive study of the product portfolios of the major market players and their regional presence
A closer look at the strategic initiatives undertaken by the leading companies across this industry, including mergers & acquisitions, collaborations, partnerships, and joint ventures
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Key questions addressed in the report:
What is the projected growth rate likely to be witnessed by each market region?
Which of the leading Smart Kitchen Appliances Market regions accounts for the maximum market share over the forecast years?
What sales estimates every region is expected to hold in the Smart Kitchen Appliances Market in the near future?
What is each regional segment’s current valuation?
What are the estimated remunerations of these regions over the forecast timeline?
Table of Content
Chapter 1. Methodology & Sources
1.1. Market Definition
1.2. Research Scope
1.4. Research Sources
1.4.3. Paid Sources
1.5. Market Estimation Technique
Chapter 2. Executive Summary
2.1. Summary Snapshot, 2020-2028
Chapter 3. Key Insights
Chapter 4. Deep Learning Chip Market Segmentation & Impact Analysis
4.1. Deep Learning Chip Market Segmentation Analysis
4.2. Industrial Outlook
4.2.1. Market indicators analysis
4.2.2. Market drivers analysis
184.108.40.206. Increasing adoption of quantum computing
220.127.116.11. Growing demand for smart homes
18.104.22.168. Rising implementation of deep learning chip for robotics
22.214.171.124. Increasing government focus on developing smart cities
4.2.3. Market restraints analysis
126.96.36.199. Lack of skilled professionals
188.8.131.52. High cost of components
4.3. Technological Insights
4.4. Regulatory Framework
4.5. Porter’s Five Forces Analysis
4.6. Competitive Metric Space Analysis
4.7. Price trend Analysis
4.8. Covid-19 Impact Analysis
Chapter 5. Deep Learning Chip Market By Chip Type Insights & Trends Revenue (USD Billion)
5.1. Chip Type Dynamics & Market Share, 2020 & 2028
5.1.1. Graphics Processing Unit (GPU)
5.1.2. Application-Specific Integrated Circuit (ASIC)
5.1.3. Field-Programmable Gate Array (FPGA)
5.1.4. Central Processing Unit (CPU)
Chapter 6. Deep Learning Chip Market By Technology Insights & Trends Revenue (USD Billion)
6.1. Technology Dynamics & Market Share, 2020 & 2028
6.1.1. System-in-package (SIP)
6.1.2. System-on-chip (SoC)
6.1.3. Multi-chip Module
Chapter 7. Deep Learning Chip Market By End-use Insights & Trends Revenue (USD Billion)
7.1. End-use Dynamics & Market Share, 2020 & 2028
7.1.5. Consumer Electronics
7.1.6. IT & Telecommunication
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