Press release
Deep Learning Unit Market Business Analysis 2021-2027: Current Industry Trends, witness Highest Growing CAGR, New Developments, and Upcoming Technologies
The Global “Deep Learning Unit Market” research delves into detailed and insightful data on important variables such as regional growth, segmentation, and CAGR. The research contains a broad overview of the industry as well as a detailed explanation with a wealth of data. In addition, the production and management variety of end-user sectors. The research on the Deep Learning Unit market for the review period of 2021 – 2027 includes an in-depth assessment of certain new and significant industry trends, a competitive analysis, and a thorough geographical analysis.In accordance with the Deep Learning Unit market is set to grow at a CAGR of 41.4% over the forecast period (2021-2027).
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The main purpose of the Deep Learning Unit Market report is to cover extensive analysis of key factors that affect the market growth and covers detailed market segmentation by types, applications, and regions. The market covers entire study patterns of the future market, as well as major driving elements. It also offers sector assessments and a thorough analysis of the main significant companies.
The study covers profiles of major companies operating in the Deep Learning Unit Market:
Fujitsu, NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD, Xilinx, Google, Graphcore, TeraDeep, Wave Computing, BrainChip
Industry News:
May 2020 - IBM announced that it would apply a range of artificial intelligence (AI) technologies in the automation of the management of IT operations and modernize applications, also known as AIOps. It utilizes machine and deep learning algorithms to time series data, semi-structured logs, structured data, and unstructured data spanning IT incidents and human conversations to track the timeline of an issue.
Market segment by Type, covers:
GPU
CPU
ASIC
FPGA
Others
Market segment by Application can be divided into:
Automotive
Consumer Electronics
Medical
Industrial
Military & Defense
Others
Market Overview:
Deep learning, a subfield of machine learning (ML), has led to breakthroughs in several artificial intelligence tasks, including speech recognition and image recognition. Furthermore, the ability to automate predictive analytics is leading to the hype for ML. Factors, such as enhanced support in product development and improvement, process optimization and functional workflows, and sales optimization, among others, have been driving enterprises across industries to invest in deep learning applications. Furthermore, the latest machine learning approaches have significantly improved the accuracy of models, and new classes of neural networks have been developed for applications, like image classification and text translation.
For instance, consider the new release of PyTorch, Facebook's open-source machine learning framework. Released in October 2019, the new framework, PyTorch 1.3, includes some impressive open-source projects for deep learning researchers and developers. The other new features include experimental support for mobile device deployment, eager mode quantization at 8-bit integer, and the ability to name tensors. One of the noted developments is CRYPTEN, a new community-based research platform designed to address a significant factor that challenges the users from deploying deep learning and machine learning platforms, i.e., security.
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North America is Expected to Hold Major Share
North America is expected to have a significant share in the global deep learning market, owing to the sustained rise in considerable data volume, coupled with the anticipated increase in the demand for the integration of DL in consumer-centric solutions of the enterprises. The growing emphasis on predicting the key trends and insights related to customer behavior and operations has been a critical driver for significant enterprises to veer toward the use of A.I. and big data for driving value and offering a personalized experience. For instance, Netflix built a machine learning platform based on JVM languages, like Scala. The platform helps break viewers' preconceived notions and find shows that they might not have initially chosen.
Regional Outlook:
This research report focuses on Deep Learning Unit market volume and value at regional Opportunity and company Trends From a global perspective, this report Study represents overall market size by analyzing historical data and future prospect. Regionally, this report focuses on several key regions: Americas, Europe, Asia-Pacific, Middle East & Africa and ROW.
Europe would enjoy the second spot where several factors like automation and better technical inclusion and Scope. The Asia Pacific region has better prospect in growing with a high CAGR in the coming years as the regional market would witness several changes in the infrastructure.
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Table of Contents: Deep Learning Unit Market
Chapter 1: Deep Learning Unit Market Product Definition
Chapter 2: Global Market Manufacturer Share and Market Overview
Chapter 3: Manufacturer Business Introduction
Chapter 4: Global Deep Learning Unit Market Segmentation (Region Level)
Chapter 5: Global Deep Learning Unit Market Segmentation (Product Type Level)
Chapter 6: Global Market Segmentation (Industry Level)
Chapter 7: Global Market Segmentation (Channel Level)
Chapter 8: Market Forecast 2021-2027
Chapter 9: Segmentation Product Type
Chapter 10: Segmentation Industry
Chapter 11: Cost of Production Analysis
Chapter 12: Conclusion
Impact of COVID-19:
The COVID-19 epidemic has impacted markets and customer behaviour in a short period of time, and it is having a significant influence on economies and society. With offices, educational institutions, and manufacturing facilities closed indefinitely, big sports and events postponed, and work-from-home and social distance rules in place, businesses are increasingly seeking technology to assist them to get through these trying times. The COVID-19 epidemic is wreaking havoc on companies all around the world.
Report Customization:
The Global Deep Learning Unit Market report may be modified to meet your specific business needs. Because we understand what our clients want, we provide 25% customization for any of our MID reports at no additional cost to all of our clients.
About Us:
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.
Contact Us:
Irfan Tamboli (Head of Sales) – MARKET INTELLIGENCE DATA
Phone: +1 (704) 266-3234
Mail to: sales@marketintelligencedata.com
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