Companies that profiled in Deep Learning Marketreport are NVIDIA (US), Intel (US), Xilinx (US), Samsung Electronics (South Korea), Micron Technology (US), Qualcomm (US), IBM (US), Google (US), Microsoft (US), and AWS (US). Some of the key start-ups included in this report are Graph core (UK), Mythic (US), Adapteva (US), and Koniku (US).
Download Brochure of Deep Learning Market spread across 210 Pages, Profiling 14 Companies and Supported with 68 Tables and 52 Figures is now available at www.rnrmarketresearch.com/contacts…mple?rname=770561 .
According to the new market research report on deep learning, this market is expected to be worth USD 3.18 billion in 2018 and is likely to reach USD 18.16billion by 2023, at a CAGR of 41.7% from 2018 to 2023. The growth of the deep learning market can be attributed to improving computing power and declining hardware cost.
Lack of technical expertise and absence of standards and protocols.
1 Attractive Opportunities in Deep Learning Market
2 Deep Learning Market, By Offering
3 Deep Learning Market, By Hardware
4 Deep Learning Market in APAC, By End-User Industry and Country
5 Deep Learning Market, By Country
2 Ranking Analysis: Deep Learning Market
3 Competitive Situation and Trend
4 New Product Developments and Launches
5 Collaborations and Partnerships
Deep learning market with technology is highly complex in nature requiring implementation of sophisticated algorithms. Deep learning systems require installation; training; & support and maintenance services.
Installation services allow software to be integrated with analytics side to enable data retrieval & generate desired result through computation. Use of computer systems for DL/AI further increases amount of work involved in installation.
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In terms of hardware, processor held the largest size of the deep learning market in 2017. Companies in industries such as healthcare and finance are investing in machine learning infrastructure.
High parallel processing capabilities and improved computing power have resulted in the high adoption of GPUs in various DL applications.
Break-up of profile of primary participants in the aircraft filters market:
- By Company Type - Tier 1 – 35%, Tier 2 – 45%, and Tier 3 – 20%
- By Designation – C level – 35%, Director level – 25%, Others – 40%
- By Region – North America - 45%, Europe – 20%, Asia-Pacific – 30%, RoW – 5%
The deep learning market for services is expected to grow at the highest CAGR from 2018 to 2023.Deep learning technology is highly complex in nature requiring the implementation of sophisticated algorithms. Deep learning systems require installation; training; and support and maintenance services.
Installation services allow the software to be integrated with the analytics side to enable data retrieval and generate desired result through computation.
Connect for More Details for More Information “Deep Learning Market by Offering (Hardware, Software, and Services), Application (Image Recognition, Signal Recognition, Data Mining), End-User Industry (Security, Marketing, Healthcare, Fintech, Automotive, Law), and Geography - Global Forecast to 2023” report @ www.rnrmarketresearch.com/contacts…hase?rname=770561 .
Report covers the deep learning market in North America, Europe, APAC, and RoW. Rise in the adoption of deep learning technology in APAC could be attributed to the increasing applications of deep learning in media &advertising, finance, and retail sectors, among others, in technologically advancing countries such as India, China, and Japan.
Breakdown of profiles of primary participants:
- By Company Type: Tier 1 =55%, Tier 2 =35%, and Tier 3 =10%
- By Designation: C-Level Executives=55%, Directors=30%,and Others =15%
- By Region: North America =60%, Europe=20%, APAC=15%, and RoW =5%
Growing e-commerce, online streaming, and increasing internet penetration have resulted inthe growth of marketing industries. In the security vertical, with increasing incidents of cyber attacks and a growing cyber-war in the region, organizations and governments are focusing on robust defense infrastructure.
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