#Deep Learning Market Analysis
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#deep learning market report#deep learning market outlook#deep learning market size#deep learning market overview#deep learning market analysis#deep learning market forecast#deep learning market research#deep learning market share#deep learning industry#deep learning market#deep learning market segments#global deep learning market#deep learning market growth
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#Deep Learning Market#Deep Learning Market size#Deep Learning Market share#Deep Learning Market trends#Deep Learning Market analysis#Deep Learning Market forecast#Deep Learning Market outlook
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What Is the Best, Regularly Updated Deep Learning?
The worldwide Deep Learning market is expected to grow at a booming CAGR of 2022-2028, rising from USD billion in 2022 to USD billion in 2028. It also shows the importance of the Deep Learning market main players in the sector, including their business overviews, financial summaries, and SWOT assessments.
Global Deep Learning is expected to grow at a steady growth during the forecast period 2022-2028, Deep Learning Market report offers insights into the latest trends. It summarizes key aspects of the market, with a focus on leading key player’s areas that have witnessed the highest demand, leading regions, and applications. It offers qualitative as well as quantitative information regarding the factors, challenges, and opportunities that will define the growth of the market over 2022-2028.
COVID-19 can affect the global economy in three main ways: by directly affecting production and demand, by creating supply chain and market disruption, and by its financial impact on firms and financial markets. Our analysts monitoring the situation across the globe explains that the market will generate remunerative prospects for producers post COVID-19 crisis. The report aims to provide an additional illustration of the latest scenario, economic slowdown, and COVID-19 impact on the overall industry.
Key Insights & Findings from the report:
Key drivers & Opportunities: Detailed analysis of driving factors and opportunities in different segments for strategizing.
Current trends & forecasts: Comprehensive analysis of the latest trends, development, and forecasts for the next few years to take the next steps.
Segmental analysis: Each segment analysis and driving factors along with revenue forecasts and growth rate analysis.
Regional Analysis: Thorough analysis of each region helps market players devise expansion strategies and take a leap.
Competitive Landscape: Extensive insights on each of the leading market players for outlining competitive scenario and take steps accordingly.
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The major players in the market are
Advanced Micro Devices, ARM Ltd , Clarifai , Entilic , Google , HyperVerge , IBM , Intel , Microsoft , NVIDIA
Deep Learning Market Segmentation
Introspective market research has segmented the Global Deep Learning Market On the basis of Type, Application, and Geography.
Deep Learning Market Segment by Types, Estimates, and Forecast by 2028
Software, Hardware, Service
Deep Learning Market Segment by Applications, Estimates, and Forecast by 2028
Signal Recognition, Image Recognition
Regional Analysis
The base on geography, the world market of Deep Learning has been segmented as follows:
North America includes the United States, Canada, and Mexico
Europe includes Germany, France, UK, Italy, Spain, Russia, and the Rest of Europe
South America includes Brazil, Argentina, Nigeria, Chile, and South America
The Asia Pacific includes Japan, China, South Korea, Australia, India, Rest of Europe
This Deep Learning Market report includes the estimation of market size for value (million USD) and volume (K Units). Both top-down and bottom-up approaches have been used to estimate and validate the market size of the Deep Learning market, and to estimate the size of various other dependent submarkets in the overall market. Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage shares split, and breakdowns have been determined using secondary sources and verified primary sources.
The Deep Learning market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.
#Deep Learning market size#Deep Learning market forecast#Deep Learning market share#Deep Learning market growth#Deep Learning market analysis#Deep Learning industry size#Deep Learning industry#Deep Learning
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Deep Learning Industry Trends, Business Strategies, Revenue
Deep Learning Industry Trends, Business Strategies, Revenue
Market Overview The global Deep Learning Industry is proliferating rapidly, heading with increasing uses of DL capabilities in a number of applications. Rising applications of deep learning in weather and climate supercomputing sectors to augment NWP approaches, e.g., in resolving post-processing issues, drive market growth. Over the past couple of decades, the ability of NWP models in forecast…
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#Deep Learning Market#Deep Learning Market Analysis#Deep Learning Market Growth#Deep Learning Market Research#Deep Learning Market Share#Deep Learning Market Size
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Global deep learning market is expected to reach USD 37.98 billion by 2027 witnessing market growth at a rate of 34% in the forecast period 2020 to 2027.
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#deep learning market#deep learning market size#deep learning market trends#deep learning market analysis#deep learning market growth
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Deep Learning Market Gets Significant Impetus During Covid-19 Outbreak; Demand to Sustain Post Pandemic
Deep Learning Market Gets Significant Impetus During Covid-19 Outbreak; Demand to Sustain Post Pandemic
“Deep Learning Market Research: Global Status & Forecast by Geography, Type & Application (2016-2026)” the new research report adds in kandjmarketresearch.com research reports database. This Research Report spread across 56 Pages, with summarizing Top companies and supports with tables and figures.
The market study also includes the key drivers expected to boost the market growth and…
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#Deep Learning#Deep Learning Market Analysis#Deep Learning Market CAGR#Deep Learning Market Demand#Deep Learning Market Forecast#Deep Learning Market Growth#Deep Learning Market Industry#Deep Learning Market Price#Deep Learning Market Research Report#Deep Learning Market Share#Deep Learning Market Size#Deep Learning Market Trends
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Deep Learning Market Key Players, Demand, Revenue, Features,Trends, Share, Size by Outlook to 2025
The global deep learning market size is expected to reach USD 10.2 billion by 2025, according to a new report by Grand View Research, Inc. Considerable improvements in machine learning algorithms and advancements in deep learning chipsets are driving the industry growth.
Rapid improvements in fast information storage capacity, high computing power, and parallelization have contributed to the swift uptake of the deep learning technology in end-use industries such as automotive and healthcare. Further, the need for understanding and analyzing visual contents among enterprises in order to gain meaningful insights, is expected to provide traction to the industry over the forecast period.
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The increasing prominence of Graphics Processing Unit (GPU)-accelerated applications is leading to increased adoption of the technology in scientific disciplines such as deep learning and data science. Organizations are utilizing deep learning neural networks to extract valuable insights from enormous amounts of data for providing innovative products and improving customer experience; thereby, increasing revenue opportunities.
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Deep Learning Market- Global Industry Opportunity Assessment By Top Players Forecast (2018-2023)
A Comprehensive research study conducted by KD Market Research on Deep Learning Market Opportunity Analysis and Industry forecast. report offers extensive and highly detailed historical, current and future market trends in Deep Learning Market. Deep Learning Market report includes market size, growth drivers, barriers, opportunities, trends and other information which helps to find new opportunities in this market for the growth of the business through new technologies and developments.
In enterprise computing, deep learning is evolving into one of the most advanced technologies. Deep learning is a subset of machine learning in Artificial Intelligence (AI) that has networks capable of learning unsupervised, from data that is unstructured or unlabeled.
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By offering expert assistance, it would be able to assist humans in extending their capabilities. Organizations are using deep learning networks to get valuable insights from huge amount of data. This is done to provide innovative products and better improved customer experiences, thereby raising revenue opportunities for the market. The global deep learning market is anticipated to reach USD 28.83 Bn and expand at a CAGR of 48.4% during the forecast period of 2018-2023.
Deep learning techniques are used to develop new technologies such as natural language processing and visual data mining, to enhance product offerings. The growing need for deep learning in database systems, fraud detection and cyber security, is driving the growth process of data mining applications in the deep learning market. The market is classified into three primary segments – based on solution, application and end user. Based on solution: Hardware, software and services Based on application: Image recognition, signal recognition, data mining, and others Based on end user: Healthcare, BFSI, aerospace and defense, automotive, retail and media and entertainment and others (manufacturing, oil, gas and energy) On the basis of regions, the market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa.
Key growth factors
Deep learning offers faster and better memory utilization in comparison to traditional computing systems. Rising usage of deep learning technology among various industries such as automotive, advertisement, medical fuel the growth of the market. Robust research and development for the expansion of better processing hardware for deep learning, growing necessity for hardware platforms with high computing power to execute deep learning algorithms are key driving factors of deep learning market. Increasing acceptance of cloud based technology, high usage of deep learning in big data analytics, and rising applicability in healthcare and autonomous vehicles are accelerating growth.
Threats and key players
Deep learning requires high-performance hardware, which is not easily available. Greater complexities in hardware owing to complex algorithm in deep learning technology, can hamper the growth of the market. Many organizations prefer the traditional route over hyper parameter optimization, thereby restricting the revenue growth of the deep learning market. Some of the prominent competitors in deep learning market are Google Inc., Microsoft Corporation, Qualcomm Technologies, Inc., IBM Corporation, Intel Corporation, General Vision Inc. and NVIDIA Corporation, etc.
What’s covered in the report?
1. Overview of the global deep learning market. 2. Market drivers and challenges of the global deep learning market. 3. Market trends in global deep learning market. 4. Historical, current and forecasted market size data for the segment based on solution. 5. Historical, current and forecasted market size data for the segment based on application. 6. Historical, current and forecasted market size data for the segment based on end user. 7. Historical, current and forecasted regional (North America, Europe, Asia-Pacific, Latin America, the Middle East & Africa) market size data for the deep learning market. 8. Historical, current and forecasted market size data for region-wise segments. 9. Analysis of company profiles of major competitors operating in the market.
Why buy?
1. Understand the demand for deep learning to determine the viability of the market 2. Determine the developed and emerging markets of deep learning 3. Identify the challenge areas and address them 4. Develop strategies based on the drivers, trends and highlights for each of the segments 5. Evaluate the value chain to determine the workflow and to get an idea of the current position where you are placed 6. Recognize the key competitors of this market and respond accordingly 7. Knowledge of the initiatives and growth strategies taken by the major companies and decide the direction of further growth 8. Define the competitive positioning by comparing the products and services with the key players in the market 9. Recognize the extent and nature of the start-ups providing deep learning solutions
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Table of Content
Chapter 1: Executive summary 1.1. Market scope and segmentation 1.2. Key questions answered in this study 1.3. Executive summary
Chapter 2: Global deep learning market - market overview
2.1. Market definitions 2.2. Global market overview- market trends, market attractiveness analysis, geography wise market revenue (USD) 2.3. Global - market drivers and challenges 2.4. Value chain analysis – Global deep learning market 2.5. Porter’s Five Forces Analysis 2.6. Market size- By solution (hardware revenue, software revenue and services revenue) 2.6. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.6. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.6. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.7. Market size- By application (Image recognition, signal recognition, data mining, and others) 2.7. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.7. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.7. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.7. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.8. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others ) 2.8. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.8. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.8. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.8. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.8. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.8. f. Others (manufacturing, oil, gas and energy) - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
Chapter 3: North America deep learning market- market overview
3.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD) 3.2. North America - market drivers and challenges 3.3. Market size- By solution (hardware revenue, software revenue and services revenue) 3.3. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.3. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.3. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.4. Market size- By application (Image recognition, signal recognition, data mining, and others) 3.4. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.4. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.4. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.4. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.5. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others) 3.5. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.5. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.5. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.5. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.5. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.5. f. Others (manufacturing, oil, gas and energy) - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
Chapter 4: Europe deep learning market- market overview
4.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD) 4.2. Europe - market drivers and challenges 4.3. Market size- By solution (hardware revenue, software revenue and services revenue) 4.3. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.3. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.3. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.4. Market size- By application (Image recognition, signal recognition, data mining, and others) 4.4. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.4. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.4. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.4. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.5. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others) 4.5. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.5. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.5. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.5. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.5. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.5. f. Others (manufacturing, oil, gas and energy)- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
Chapter 5: Asia-Pacific deep learning market- market overview
5.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD) 5.2. Asia Pacific- market drivers and challenges 5.3. Market size- By solution (hardware revenue, software revenue and services revenue) 5.3. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.3. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.3. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.4. Market size- By application (Image recognition, signal recognition, data mining, and others) 5.4. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.4. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.4. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.4. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.5. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others) 5.5. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.5. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.5. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.5. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.5. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.5. f. Others (manufacturing, oil, gas and energy)- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
Chapter 6: Latin America deep learning market- market overview
6.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD) 6.2. Latin America- market drivers and challenges 6.3. Market size- By solution (hardware revenue, software revenue and services revenue) 6.3. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.3. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.3. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.4. Market size- By application (Image recognition, signal recognition, data mining, and others) 6.4. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.4. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.4. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.4. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.5. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others) 6.5. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.5. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.5. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.5. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.5. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.5. f. Others (manufacturing, oil, gas and energy)- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
Chapter 7: Middle East and Africa deep learning market- market overview
7.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD) 7.2. Middle East and Africa- market drivers and challenges 7.3. Market size- By solution (hardware revenue, software revenue and services revenue) 7.3. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.3. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.3. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.4. Market size- By application (Image recognition, signal recognition, data mining, and others) 7.4. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.4. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.4. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.4. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.5. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others) 7.5. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.5. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.5. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.5. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.5. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.5. f. Others (manufacturing, oil, gas and energy)- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
Chapter 8: Competitive landscape
8.1. Google Inc. 8.1. a. Company snapshot 8.1. b. Product offerings 8.1. c. Growth strategies 8.1. d. Initiatives 8.1. e. Geographical presence 8.1. f. Key numbers 8.2. Microsoft Corporation 8.3. Qualcomm Technologies 8.4. IBM Corporation 8.5. Intel Corporation 8.6. General Vision Inc. 8.7. NVIDIA Corporation
Chapter 9: Conclusion
Chapter 10: Appendix
10.1. List of tables 10.2. Research methodology 10.3. Assumptions
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#Deep Learning Market size#Deep Learning Market trends#Deep Learning Market news#Deep Learning Market share#Deep Learning Market Analysis#Deep Learning Market Forecast
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Latest release published on KBV Research News
Latest press release on:
Deep Learning Market to reach a market size of $256.2 billion by 2023
According to a new report Global Deep Learning Market, published by KBV research, the Global Deep Learning Market size is expected to reach $256.2 billion by 2023, rising at a market growth of 31% CAGR during the forecast period.
The KBV Cardinal Matrix is a visual representation about the key players in the industry. The matrix is designed considering the major strategic developments including Mergers & Acquisitions, product launches, partnership among others and the financial strength of the company in the considered years. The major strategies followed by the market participants are Product launches and Partnerships & Collaborations.
KBV Cardinal Matrix – Deep Learning Market
The North America market holds the largest market share in Global Deep Learning Software Market by Region in 2016 and would continue to be a dominant market till 2023; growing at a CAGR of 37.6 % during the forecast period. The Europe market is expected to witness a CAGR of 37.9% during (2017 – 2023) in Global Deep Learning Hardware Market. Additionally, The Asia Pacific market is expected to witness a CAGR of 45.6% during (2017 – 2023) in Global Deep Learning Services Market.Source: KBV Research Analysis, Company Publications and Secondary Research
The Security market holds the largest market share in Global Deep Learning Market by End User in 2016 and would continue to be a dominant market till 2023. The Healthcare market is expected to witness a CAGR of 39.4% during (2017 – 2023). Additionally, The Retail market is expected to witness a CAGR of 39.3% during (2017 – 2023).
The Image Recognition market holds the largest market share in Global Deep Learning Market by Application in 2016 and would continue to be a dominant market till 2023; growing at a CAGR of 38.8 % during the forecast period. The Signal Recognition market is expected to witness a CAGR of 39.4% during (2017 – 2023). Additionally, The Data Mining market would garner market value of $3,930.8 million by 2023.
Full Report: https://kbvresearch.com/deep-learning-market/
The market research report has exhaustive quantitative insights providing a clear picture of the market potential in various segments across the globe with country wise analysis in each discussed region. The key impacting factors of the Global Deep Learning Market have been discussed in the report with the competition analysis and elaborated company profiles of Amazon.com, Inc. (Amazon Web Services), Google, Inc., IBM Corporation, Intel Corporation, Microsoft Corporation, Samsung Electronics Co. Ltd., Micron Technology, Inc., Qualcomm Incorporated, Nvidia Corporation, and Sensory, Inc.
Global Deep Learning Market Size Segmentation
By Type
Software
Hardware
Services
Professional
Managed
By End User
Security
Marketing
Healthcare
Retail
Manufacturing
Automotive
Agriculture
Others
By Application
Image Recognition
Signal Recognition
Data Mining
Others
By Geography
North America Deep Learning Market
US Deep Learning Market
Canada Deep Learning Market
Mexico Deep Learning Market
Rest of Global Deep Learning Market
Europe Deep Learning Market
Germany Deep Learning Market
UK Deep Learning Market
France Deep Learning Market
Russia Deep Learning Market
Spain Deep Learning Market
Italy Deep Learning Market
Rest of Europe Deep Learning Market
Asia Pacific Deep Learning Market
China Deep Learning Market
Japan Deep Learning Market
India Deep Learning Market
South Korea Deep Learning Market
Singapore Deep Learning Market
Malaysia Deep Learning Market
Rest of Asia Pacific Deep Learning Market
LAMEA Deep Learning Market
Brazil Deep Learning Market
Argentina Deep Learning Market
UAE Deep Learning Market
Saudi Arabia Deep Learning Market
South Africa Deep Learning Market
Nigeria Deep Learning Market
Rest of LAMEA Deep Learning Market
Companies Profiled
com, Inc. (Amazon Web Services)
Google, Inc.
IBM Corporation
Intel Corporation
Microsoft Corporation
Samsung Electronics Co. Ltd.
Micron Technology, Inc.
Qualcomm Incorporated
Nvidia Corporation
Sensory, Inc.
Unique Offerings from KBV Research
Exhaustive coverage of Global Deep Learning Market
Highest number of market tables and figures
Subscription based model available
Guaranteed best price
Assured post sales research support with 10% customization free
Related Reports:
North America Deep Learning Market (2017-2023)
Europe Deep Learning Market (2017-2023)
Asia Pacific Deep Learning Market (2017-2023)
LAMEA Deep Learning Market (2017-2023)
#Deep Learning Market#Deep Learning Market Analysis#Deep Learning Market Growth#Deep Learning Market Report#Deep Learning Market Research#Deep Learning Market Share#Deep Learning Market Size#Global Deep Learning Market#Global Deep Learning Market Size
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Deep Learning Market Is Expected To Grow At A CAGR Of 52.1% From 2014 To 2025: Grand View Research, Inc.
The global deep learning market size is expected to reach USD 10.2 billion by 2025, according to a new report by Grand View Research, Inc. Considerable improvements in machine learning algorithms and advancements in deep learning chipsets are driving the industry growth.
Rapid improvements in fast information storage capacity, high computing power, and parallelization have contributed to the swift uptake of the deep learning technology in end-use industries such as automotive and healthcare. Further, the need for understanding and analyzing visual contents among enterprises in order to gain meaningful insights, is expected to provide traction to the industry over the forecast period.
The increasing prominence of Graphics Processing Unit (GPU)-accelerated applications is leading to increased adoption of the technology in scientific disciplines such as deep learning and data science. Organizations are utilizing deep learning neural networks to extract valuable insights from enormous amounts of data for providing innovative products and improving customer experience; thereby, increasing revenue opportunities.
The technology is expected to gain prominence among key players and researchers, owing to its use in improvising artificial intelligence capabilities in Natural Language Processing (NLP), image & speech recognition, and computer vision areas. Solution providers are resorting to partnerships and collaborations to enter the deep learning space. For instance, in January 2016, Movidius collaborated with Google, Inc. to enhance its deep learning capabilities on mobile devices. In September 2016, Intel Corporation announced the acquisition of Movidius for improvising its computer vision and deep learning solutions.
View summary of this report @ http://www.grandviewresearch.com/industry-analysis/deep-learning-market
Further key findings from the report suggest:
· The hardware segment is expected to witness the fastest growth due to increased demand for high computing chipsets which are used to run deep learning algorithms
· The Field Programmable Gate Array (FPGA) segment is expected to witness considerable growth on account of its enhanced power efficiency and capability to bridge the GPU performance gap using multiple FPGAs
· The healthcare segment is anticipated to grow at a significant rate of over 55%, as the technology is outspreading the translational bioinformatics, medical imaging, and sensor-driven analysis
· The Asia Pacific deep learning market is expected to be the fastest-growing regional market due to increasing spending on artificial intelligence and cognitive computing technologies
· The key industry players include Intel Corporation, NVIDIA Corporation, IBM Corporation, and Microsoft Corporation
Browse more reports of this category by Grand View Research: http://www.grandviewresearch.com/industry/emerging-and-next-generation-technologies
Grand View Research has segmented the deep learning market based on solutions, hardware, services, applications, end-uses, and regions:
Deep Learning Solution Outlook (Revenue, USD Million; 2014 - 2025)
· Hardware
· Software
· Service
o Installation services
o Integration services
o Maintenance & support services
Deep Learning Hardware Outlook (Revenue, USD Million; 2014 - 2025)
· Central Processing Unit (CPU)
· Graphics Processing Unit (GPU)
· Field Programmable Gate Array (FPGA)
· Application-Specific Integrated Circuit (ASIC)
Deep Learning Application Outlook (Revenue, USD Million; 2014 - 2025)
· Image recognition
· Voice recognition
· Video surveillance & diagnostics
· Data mining
Deep Learning End-use Outlook (Revenue, USD Million; 2014 - 2025)
· Automotive
· Aerospace & defense
· Healthcare
· Manufacturing
· Others
Deep Learning Regional Outlook (Revenue, USD Million; 2014 - 2025)
· North America
o U.S.
o Canada
· Europe
o Germany
o UK
· Asia Pacific
o China
o India
o Japan
· Latin America
o Brazil
o Mexico
· Middle East and Africa
Access press release of this report - http://www.grandviewresearch.com/press-release/global-deep-learning-market
About Grand View Research:
Grand View Research, Inc. is a U.S. based market research and consulting company, registered in the State of California and headquartered in San Francisco. The company provides syndicated research reports, customized research reports, and consulting services. To help clients make informed business decisions, the company offers market intelligence studies ensuring relevant and fact-based research across a range of industries including technology, chemicals, materials, healthcare and energy.
For more information visit - http://www.grandviewresearch.com/
#Deep Learning Market#Deep Learning Market growth#Deep Learning Market analysis#Deep Learning Market size#Deep Learning Market share#Deep Learning Market reports
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Global Deep Learning Market 2022 Key Players are Entilic, Google, HyperVerge, IBM, Intel, Microsoft
Qyresearchreports include new market research report Global Deep Learning Market Size, Status and Forecast 2022 to its huge collection of research reports.
The market report details in-depth past and present analytical and statistical data about the global Deep Learning market. The report describes the global Deep Learning market in detail in terms of the micro- and macroeconomic and regulatory factors that are currently shaping the market’s growth trajectory. The regional segmentation of the global Deep Learning market and an analysis of the market’s downstream and upstream value and supply chains are also provided in the report, making it a comprehensive market information tool.
The study presents data corralled through primary and secondary research methodologies exploring the global Deep Learning market. The information given in this report has been collated by experienced market experts. The data is supplemented by visual representation of the information in the form of tables, charts, and other helpful infographics. The detailed data provided in the report and the industry-standard models used to analyze it make this report a must-have tool for all participants and stakeholders in the global Deep Learning industry.
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Economic factors that influence the growth trajectory of the Deep Learning market have been studied elaborately in the report. The impact of these key factors on the Deep Learning market in the review and forecast periods is presented and accurate forecasts are presented for the global Deep Learning market’s projected development in the given forecast period. The changing dynamics of the global Deep Learning market are charted from 2016 to 2021. Analytical tools such as SWOT analysis are used to critically examine the impact of the numerous influential factors having an effect on the Deep Learning market in the given forecast period.
Segmentation of the Deep Learning market by various relevant criteria is elaborated upon in the report; each segment is examined in terms of historical performance and in terms of growth potential to provide a detailed analytical view of the market to the reader. The rigorous analysis of the Deep Learning market will help emerging and established market players devise beneficial plans for the forecast period.
Table of Contents
Global Deep Learning Market Size, Status and Forecast 2022 1 Industry Overview of Deep Learning 1.1 Deep Learning Market Overview 1.1.1 Deep Learning Product Scope 1.1.2 Market Status and Outlook 1.2 Global Deep Learning Market Size and Analysis by Regions 1.2.1 United States 1.2.2 EU 1.2.3 Japan 1.2.4 China 1.2.5 India 1.2.6 Southeast Asia 1.3 Deep Learning Market by Type 1.3.1 Software 1.3.2 Hardware 1.3.3 Service 1.4 Deep Learning Market by End Users/Application 1.4.1 Aerospace & Defense 1.4.2 Automotive 1.4.3 Manufacturing 1.4.4 Healthcare 1.4.5 Others
2 Global Deep Learning Competition Analysis by Players 2.1 Deep Learning Market Size (Value) by Players (2016 and 2017) 2.2 Competitive Status and Trend 2.2.1 Market Concentration Rate 2.2.2 Product/Service Differences 2.2.3 New Entrants 2.2.4 The Technology Trends in Future
Browse Complete Report with TOC @ http://www.qyresearchreports.com/report/global-deep-learning-market-size-status-and-forecast-2022.htm
4 Global Deep Learning Market Size by Type and Application (2012-2017) 4.1 Global Deep Learning Market Size by Type (2012-2017) 4.2 Global Deep Learning Market Size by Application (2012-2017) 4.3 Potential Application of Deep Learning in Future 4.4 Top Consumer/End Users of Deep Learning
5 United States Deep Learning Development Status and Outlook 5.1 United States Deep Learning Market Size (2012-2017) 5.2 United States Deep Learning Market Size and Market Share by Players (2016 and 2017)
6 EU Deep Learning Development Status and Outlook 6.1 EU Deep Learning Market Size (2012-2017) 6.2 EU Deep Learning Market Size and Market Share by Players (2016 and 2017)
7 Japan Deep Learning Development Status and Outlook 7.1 Japan Deep Learning Market Size (2012-2017) 7.2 Japan Deep Learning Market Size and Market Share by Players (2016 and 2017)
8 China Deep Learning Development Status and Outlook 8.1 China Deep Learning Market Size (2012-2017) 8.2 China Deep Learning Market Size and Market Share by Players (2016 and 2017)
9 India Deep Learning Development Status and Outlook 9.1 India Deep Learning Market Size (2012-2017) 9.2 India Deep Learning Market Size and Market Share by Players (2016 and 2017)
10 Southeast Asia Deep Learning Development Status and Outlook 10.1 Southeast Asia Deep Learning Market Size (2012-2017) 10.2 Southeast Asia Deep Learning Market Size and Market Share by Players (2016 and 2017)
List of Tables and Figures
Figure Deep Learning Product Scope Figure Global Deep Learning Market Size (Million USD) (2012-2017) Table Global Deep Learning Market Size (Million USD) and Growth Rate by Regions (2012-2017) Figure Global Deep Learning Market Share by Regions in 2016 Figure United States Deep Learning Market Size (Million USD) and Growth Rate by Regions (2012-2017) Figure EU Deep Learning Market Size (Million USD) and Growth Rate by Regions (2012-2017) Figure Japan Deep Learning Market Size (Million USD) and Growth Rate by Regions (2012-2017) Figure China Deep Learning Market Size (Million USD) and Growth Rate by Regions (2012-2017) Figure India Deep Learning Market Size (Million USD) and Growth Rate by Regions (2012-2017) Figure Southeast Asia Deep Learning Market Size (Million USD) and Growth Rate by Regions (2012-2017) Figure Global Deep Learning Market Share by Type in 2016
About Us QYReseachReports.com delivers the latest strategic market intelligence to build a successful business footprint in China. Our syndicated and customized research reports provide companies with vital background information of the market and in-depth analysis on the Chinese trade and investment framework, which directly affects their business operations. Reports from QYReseachReports.com feature valuable recommendations on how to navigate in the extremely unpredictable yet highly attractive Chinese market.
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#Deep Learning Market#Deep Learning Market Demand#Deep Learning Market Trend#Deep Learning Market Analysis
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Deep Learning Market Trends, Growth And Regional Outlook and Forecast 2020-2027 | COVID-19 Effects
Deep Learning Market Trends, Growth And Regional Outlook and Forecast 2020-2027 | COVID-19 Effects
Market Overview The need to enable more function in devices and machines are anticipated to motivate the deep learning market 2020. The information & communication technology industry reports are created by Market Research Future, which centers on market choices for expansion. A USD 17.40 billion revenue is expected to be created by the market by 2023. The advance in technologies such as…
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#Deep Learning Market#Deep Learning Market Analysis#Deep Learning Market Growth#Deep Learning Market Research#Deep Learning Market Share#Deep Learning Market Size
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Deep Learning Market To Gain From Increased Demand In Aerospace And Defense Sectors Till 2025: Grand View Research, Inc.
The global deep learning market size is expected to reach USD 10.2 billion by 2025, according to a new report by Grand View Research, Inc. Considerable improvements in machine learning algorithms and advancements in deep learning chipsets are driving the industry growth.
Rapid improvements in fast information storage capacity, high computing power, and parallelization have contributed to the swift uptake of the deep learning technology in end-use industries such as automotive and healthcare. Further, the need for understanding and analyzing visual contents among enterprises in order to gain meaningful insights, is expected to provide traction to the industry over the forecast period.
The increasing prominence of Graphics Processing Unit (GPU)-accelerated applications is leading to increased adoption of the technology in scientific disciplines such as deep learning and data science. Organizations are utilizing deep learning neural networks to extract valuable insights from enormous amounts of data for providing innovative products and improving customer experience; thereby, increasing revenue opportunities.
The technology is expected to gain prominence among key players and researchers, owing to its use in improvising artificial intelligence capabilities in Natural Language Processing (NLP), image & speech recognition, and computer vision areas. Solution providers are resorting to partnerships and collaborations to enter the deep learning space. For instance, in January 2016, Movidius collaborated with Google, Inc. to enhance its deep learning capabilities on mobile devices. In September 2016, Intel Corporation announced the acquisition of Movidius for improvising its computer vision and deep learning solutions.
View summary of this report @ http://www.grandviewresearch.com/industry-analysis/deep-learning-market
Further key findings from the report suggest:
· The hardware segment is expected to witness the fastest growth due to increased demand for high computing chipsets which are used to run deep learning algorithms
· The Field Programmable Gate Array (FPGA) segment is expected to witness considerable growth on account of its enhanced power efficiency and capability to bridge the GPU performance gap using multiple FPGAs
· The healthcare segment is anticipated to grow at a significant rate of over 55%, as the technology is outspreading the translational bioinformatics, medical imaging, and sensor-driven analysis
· The Asia Pacific deep learning market is expected to be the fastest-growing regional market due to increasing spending on artificial intelligence and cognitive computing technologies
· The key industry players include Intel Corporation, NVIDIA Corporation, IBM Corporation, and Microsoft Corporation
Browse more reports of this category by Grand View Research: http://www.grandviewresearch.com/industry/emerging-and-next-generation-technologies
Grand View Research has segmented the deep learning market based on solutions, hardware, services, applications, end-uses, and regions:
Deep Learning Solution Outlook (Revenue, USD Million; 2014 - 2025)
· Hardware
· Software
· Service
o Installation services
o Integration services
o Maintenance & support services
Deep Learning Hardware Outlook (Revenue, USD Million; 2014 - 2025)
· Central Processing Unit (CPU)
· Graphics Processing Unit (GPU)
· Field Programmable Gate Array (FPGA)
· Application-Specific Integrated Circuit (ASIC)
Deep Learning Application Outlook (Revenue, USD Million; 2014 - 2025)
· Image recognition
· Voice recognition
· Video surveillance & diagnostics
· Data mining
Deep Learning End-use Outlook (Revenue, USD Million; 2014 - 2025)
· Automotive
· Aerospace & defense
· Healthcare
· Manufacturing
· Others
Deep Learning Regional Outlook (Revenue, USD Million; 2014 - 2025)
· North America
o U.S.
o Canada
· Europe
o Germany
o UK
· Asia Pacific
o China
o India
o Japan
· Latin America
o Brazil
o Mexico
· Middle East and Africa
About Grand View Research
Grand View Research, Inc. is a U.S. based market research and consulting company, registered in the State of California and headquartered in San Francisco. The company provides syndicated research reports, customized research reports, and consulting services. To help clients make informed business decisions, the company offers market intelligence studies ensuring relevant and fact-based research across a range of industries including technology, chemicals, materials, healthcare and energy.
For more information visit - http://www.grandviewresearch.com/
#Deep Learning Market#Deep Learning Market forecast#Deep Learning Market share#Deep Learning Market analysis
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