Deep Learning Market Highlights:
The global deep learning market is spanned across North America, Europe, Asia-Pacific, and the rest of the world. North America is expected to be one of the largest markets for deep learning technology, with a significant growth rate during the forecast period. North America has been categorized into three regions—the US, Canada, and Mexico. During the forecast period, the US is expected to be the leading region, growing at a CAGR of 29.34%, followed by Canada and Mexico.

The increasing demand for Deep Learning Market speech and image recognition software and data mining across the government, law enforcement, healthcare, security and surveillance, military & defense, IT & telecommunication, financial services, and research and development sectors is also expected to fuel the market growth.

The increasing adoption of artificial intelligence and deep learning for video surveillance, signal processing, and imaging classification has positively impacted the growth of deep learning market in US. Furthermore, the rising demand for deep learning with graphics processing units (GPUs) among the US aerospace and defense industry, for life cycle analysis and predictive maintenance of aircraft and data and image evaluations generated from drones also fuel market growth in the country.

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Deep Learning Market Competitive Landscape:
Intel Corporation (U.S.), Samsung Electronics Co. Ltd. (South Korea), Qualcomm Technologies (U.S.), Google, Inc. (U.S.), Sensory Inc. (U.S.), Xilinx, Inc. (U.S.), IBM Corporation (U.S.), Amazon Web Services, Inc. (U.S.), Micron Technology (U.S.), NVIDIA (U.S.), and Microsoft Corporation (U.S.) are some of the highly regarded companies that operate in the global market for deep learning.

Deep Learning Market Segmental Analysis:
The report includes a detailed segmental analysis of the market based on component, application and end-user industry.

By component, the market has been segmented into services, software and hardware. The hardware segmented is further sub-segmented into processor, memory and network. The software segment is further sub-segmented into platform and solution. The services segment is further sub-segmented into support & maintenance, training, and installation. Based on application, the market has been segmented into data mining, image recognition, signal recognition and others. Based on end-user, the market has been segmented into marketing, agriculture, manufacturing, automotive, retail, healthcare, security and others.

Deep Learning Market Regional Analysis:
The market has been covered across regions such as Asia Pacific, North America, Europe, the Middle East, Africa and Latin America. North America is one of the most attractive market for deep learning solutions. Countries such as the U.S. and Canada are technologically advanced, which allows a faster adoption deep learning. In terms of revenue, the U.S. leads the North America deep learning market.

The market in North America is driving by the increased adoption of deep learning applications in enterprises. Moreover, deep learning application scope in large scale industry verticals in the region is expected to grow further in the years to come.

Industry News:
• Tel Aviv based startup Run.AI has recently announced that the company has raised $ 13 Mn. The company, which has been working on a unique deep learning virtualization and acceleration platform came out the stealth with this announcement. The funding round was mainly led by TLV partners and Haim Sadger’s S Capital.
• Skymin a U.S. based Deep learning solution provider raised $ 11.5 Mn Series A round, which was led by TransLink Capital, with participation form Sumitomo’s Presidio Ventures, GovTech Fund, ServiceNow UpHonest Capital. Some of the other investors include Tencent, Y Combinator, Hemi Ventures, GMO Ventures and Mandra Capital. This funding round will help Skymind bring deep learning to more enterprises.

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