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Deep Learning Chipset Market Analysis by Size, Share and Top Leading Player | NVIDIA, Intel, IBM, Qualcomm

11-10-2022 10:43 AM CET | IT, New Media & Software

Press release from: Market Insights Reports

The Global Deep Learning Chipset Market report focuses on a comprehensive analysis of the current and future prospects of the Deep Learning Chipset industry. An in-depth analysis of historical trends, future trends, SWOT analysis, demographics, industrial advances, and regulatory requirements for the Deep Learning Chipset market has been performed to analyze the growth rate of each segment and sub-segment. The industry's role in the COVID-19 natural occurrence was broadly studied. Over the course of the study period, comprehensive risk assessments and business suggestions are created for the market.

The Deep Learning Chipset Market is projected to succeed at a CAGR of 35.8 % during 2022 - 2028

To request a Free Sample Copy of the Report, click the following link:

https://www.marketintelligencedata.com/reports/6033176/deep-learning-chipset-market-2022-by-manufacturers-regions-type-and-application-forecast-to-2027/inquiry?mode=rutu'24

Top Companies Covered in the Report:

NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD, Xilinx, ARM, Google, Graphcore, TeraDeep, Wave Computing, BrainChip,

Recent Developments:

NVIDIA has acquired 16 companies, including 4 in the last 5 years. A total of 5 acquisitions came from private equity firms. NVIDIA's largest acquisition to date was in 2019 when it acquired Mellanox Technologies for $6.9B. NVIDIA has acquired in 3 different US states, and 5 countries. The Company's most targeted sectors include semiconductors (27%) and software (27%).

Intel has acquired 97 companies, including 14 in the last 5 years. A total of 7 acquisitions came from private equity firms. It has also divested 14 assets. Intel's largest acquisition to date was in 2015 when it acquired Altera for $16.7B. It's largest disclosed sale occurred in 2020, when it sold Intel - NAND Memory Business to SK Hynix for $9.0B. Intel has acquired in 12 different US states, and 16 countries. The Company's most targeted sectors include software (30%) and technology hardware (30%).

One important part of this report consists of a discussion of key vendors in the industry to forecast the global Deep Learning Chipset market to 2022 profile, market revenue, and financial analysis. This report will support the market companies in formulating their future business strategies and discovering the global competition. A complete segmentation analysis of the market is performed for manufacturers, regions, types, and applications of the report.

Global Deep Learning Chipset Market Segmentation:

by type

Graphics Processing Units (GPUs)

Central Processing Units (CPUs)

Application Specific Integrated Circuits (ASICs)

Field Programmable Gate Arrays (FPGAs)

Others

by application

Consumer

Aerospace, Military & Defense

Automotive

Industrial

Medical

Others

Market Segmentation: By Geographic Analysis

North America (USA, Canada, and Mexico)

Europe (Germany, France, UK, Russia, and Italy)

Asia Pacific (China, Japan, Korea, India, and Southeast Asia)

South America (Brazil, Argentina, Colombia, etc.)

Middle East & Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)

North American market is expected to account for the largest market share among other regional markets during the forecast period due to the rising adoption of deep learning applications, including signal recognition, image recognition, and data mining among various industries such as automotive, IT telecommunications, and healthcare in countries in the region. In addition, the robust presence of international and domestic market players such as Google LLC, Advanced Micro Devices, Inc., Intel Corporation, and Amazon.com, Inc., among others in countries in North America, is expected to boost market growth over the forecast period. The growing implementation of emerging technologies is prompting various organizations to implement deep learning solutions, which is expected to further propel the growth of the North American market. For example, Intel Corporation introduced its Artificial Intelligence and analytics application over its hardware and software range in June 2021. Artificial intelligence and analytics enable added possibilities for different sectors, including healthcare, telecommunications, and banking.

Key insights this study will provide:

360 Degree Deep Learning Chipset Market Overview Based on Global and Regional Levels

Market Share and Sales Revenue by Main Players and Emerging Regions

Competitors - In this section, several industry top players are studied with respect to their company profile, product portfolio, capacity, price, cost, and revenue.

Separate Chapter on Deep Learning Chipset Market Entropy to Gain Insights into Market Aggression of Leaders [Acquisitions/Recent Investments and Major Developments]

Patent Analysis Number of patents/trademarks filed in recent years.

Get Research Report within 48 Hours @ 

https://www.marketintelligencedata.com/reports/6033176/deep-learning-chipset-market-2022-by-manufacturers-regions-type-and-application-forecast-to-2027?mode=rutu'24

Key questions answered in the report:-

What is your company profile, product information, and contact data?

What are the outlook for the global industry in terms of capacity, production, and production value?

What are the market share, supply, and consumption?

What are the market dynamics of the market?

What are the challenges and opportunities?

What should be your entry strategy, your response to fiscal impacts, and your industry's marketing channels?

Table of contents:

Chapter 1: Introduction, Market Drivers Product Research, and Research Objectives Scope Deep Learning Chipset Market

Chapter 2: Exclusive Summary - Basic Information of Deep Learning Chipset Market.

Chapter 3: Displaying Market Dynamics - Drivers, Trends, and Challenges of Deep Learning Chipset

Chapter 4: Deep Learning Chipset Market Factor Analysis Presentation Porters Five Forces, Supply/Value Chain, PESTEL Analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Display by Type, End-User, and County 2016-2021

Chapter 6: Assessment of Major Manufacturers in Deep Learning Chipset Market Comprising Competitive Landscape, and Company Profiles

Chapter 7: To evaluate the market by segments, countries, and manufacturers, with revenue share and sales by key countries for these different regions.

Chapters 8 and 9: Appendix, Methodology, and Data Source Display

Conclusion: All findings and estimates are provided at the end of the Deep Learning Chipset Market report. It also includes key drivers and opportunities along with regional analysis. The segment analysis is also provided in terms of type and application.

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Thank you for taking the time to read our article…!!

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Market intelligence data is a global front-runner in the research industry, offering contextual and data-driven research services to customers. Customers are supported in creating business plans and attaining long-term success in their respective marketplaces by the organization. The industry provides consulting services, Market Intelligence Data research studies, and customized research reports.

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