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Deep Learning Chip Market Trends
The deep learning chip market size is projected to reach $81,776.8 million by 2030, growing at a CAGR of 35.2% from 2021 to 2030.
The deep learning chip market size is expected to witness considerable growth, owing to emergence of quantum computing and increase in implementation of deep learning chips in robotics.” - David Correa
OREGAON, PORTLAND, UNITED STATES, March 27, 2024 /EINPresswire / -- Allied Market Research published an exclusive report, titled, "Deep Learning Chip Market By Chip Type (GPU, ASIC, FPGA, CPU, Others), Technology (System on Chip, System in Package, Multi Chip Module and Others), and Industry Vertical (Media & Advertising, BFSI, IT & Telecommunication, Retail, Healthcare, Automotive, Others): Global Opportunity Analysis and Industry Forecast, 2021-2030".
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The deep learning chip market report offers a detailed analysis of prime factors that impact the market growth such as key market players, current market developments, and pivotal trends. The report includes an in-depth study of key determinants of the global market including drivers, challenges, restraints, and upcoming opportunities.
The deep learning chip market report encompasses driving factors of the market coupled with prime obstacles and restraining factors that hamper the market growth. The report helps existing manufacturers and entry-level companies devise strategies to battle challenges and leverage lucrative opportunities to gain a foothold in the global market.
Key Market Players:
The deep learning chip market size report offers an in-depth analysis of the 10 prime market players that are active in the market. Moreover, it provides their thorough financial analysis, business strategies, SWOT profile, business overview, and recently launched products & services. In addition, the report offers recent market developments such as market expansion, mergers & acquisitions, and partnerships & collaborations. The prime market players studied in the report are AMD (Advanced Micro Devices), Google, Inc., Intel Corporation, NVIDIA, Baidu, Bitmain Technologies, Qualcomm, Amazon, Xilinx, and Samsung.
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Segmentation Analysis:
The deep learning chip market is segmented based on chip type, industry vertical, technology, and region. On the basis of chip type, the market is categorized into graphics processing unit (GPU), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), central processing unit (CPU), and others. On the basis of technology, the market is segmented into system-on-chip, system-in-package, multi-chip module, and others. On the basis of industry vertical, the market is divided into media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others. The report offers an in-depth study of every segment, which helps market players and stakeholders to understand the fastest growing segments and highest grossing segments in the market.
The constantly evolving retail industry, automotive and healthcare industry majorly drives the growth of the deep learning chip market. Further, increase in number of electric vehicles and the emergence of the quantum computing, increase in number of AI applications, and development of smarter robots drive the growth of the deep learning chip market. However, dearth of skilled workforce is expected to hinder the growth of the deep learning chip market.
Deep learning chip market by GPU chip type contributed the maximum in terms of revenue to the market and accounted for around 34.1% share in 2020. Factors such as development of smarter robots and increased adoption of deep learning chips in the developing regions propel the market growth. Deep learning chip by system on chip technology is expected to dominate the market growth during the forecast period.
The deep learning chip market is analyzed across the globe and highlight several factors that affect the performance of the market across the various region including North America (United States, Canada, and Mexico), Europe (Germany, France, UK, Russia, and Italy), Asia-Pacific (China, Japan, Korea, India, and Southeast Asia), South America (Brazil, Argentina, Colombia), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa).
The deep learning chip market report provides thorough information about prime end-users and annual forecast during the period from 2022 to 2030. Moreover, it offers revenue forecast for every year coupled with sales growth of the market. The forecasts are provided by skilled analysts in the market and after an in-depth analysis of the geography of the market. These forecasts are essential for gaining insight into the future prospects of the deep learning chip industry .
The Report will help the Readers:
- Figure out the market dynamics altogether.
- Inspect and scrutinize the competitive scenario and the future deep learning chip market landscape with the help of different strictures including Porter's five forces.
- Understand the impact of different government regulations throughout the global health crisis and evaluate the deep learning chip market condition in the tough time.
- Consider the portfolios of the protruding players functional in the market in consort with the thorough study of their products/services.
- Have a compact idea of the highest revenue generating segment.
The research operandi of the global deep learning chip market includes significant primary as well as secondary research. When the primary methodology encompasses widespread discussion with a plethora of valued participants, the secondary research involves a substantial amount of product/service descriptions. Furthermore, several government sites, industry bulletins, and press releases have also been properly examined to bring forth high-value industry insights.
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COVID-19 Impact Analysis:
The COVID-19 pandemic hit almost all sectors across the globe. The government restrictions and guidelines issued by World Health Organization (WHO) have temporarily suspended the manufacturing facilities. In addition, the prolonged lockdown across several countries led to disruption of the supply chain and increased raw material prices. Such factors affected the global deep learning chip market growth . The report offers an in-depth analysis of the impact of the COVID-19 outbreak on the market.
The Report Offers:
. Evaluation of market share for regional and country-level segments.
. Market analysis of top industry players.
. Strategic recommendations for new entrants.
. All mentioned segments, and regional market forecasts for the next 10 years.
. Market Trends (Drivers, Difficulties, Opportunities, Threats, Challenges, Investment Opportunities and Recommendations)
. Strategic recommendations in the main business segment of the market forecast.
. Competitive landscaping of major general trends.
. Company profiling with detailed strategy, financial and recent developments.
. Latest technological progress mapping supply chain trends.
The market study further promotes a sustainable market scenario on the basis of key product offerings. On the other hand, Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network. The report provides an explicit global deep learning chip market breakdown and exemplifies how the opposition will take shape in the new few years to come. Rendering the top ten industry players functional in the market, the study emphasizes on the policies & approaches integrated by them to retain their foothold in the industry.
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David Correa
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