2019 Deep Learning Industry Mergers and Acquisitions Report: Supplier Performance Benchmarking, Latest Market Trends, Competitive Intelligence And Regional Overview By 2026 | NVIDIA, Samsung Electronics, Intel Corporation

Deep Learning Market Snapshot:

Deep learning, considered as a subfield of Machine Learning, is concerned with algorithms and largely inspired by the brain’s structure and a function called the artificial neural network. Technology is advancing at an alarming pace, and the latest advancements in artificial intelligence (AI) are nothing short of overwhelming. Deep learning is gaining momentum in AI owing to its supremacy in terms of accuracy when trained with large volumes of data. The current era deals with big data, which is estimated to provide significant opportunities for new innovations in deep learning. The Deep Learning Market report also covers a detailed comprehension of the major geographies present in the market along with the key segments and sub-segments. The report focuses on regional development status, which includes the market size, share, and volume. Each section of the report reveals critical information about the global Deep Learning market that could be used to ensure strong growth in the coming years. Our unique blend of primary and secondary research techniques helped us to acknowledge hidden business opportunities available within the global Deep Learning market, besides collecting significant insights of market participants and obtaining precise market data. It includes several research studies like manufacturing analysis, absolute dollar opportunity, pricing analysis, company profiling, production and consumption analysis, and market dynamics.

The marketing segment is expected to register the highest CAGR of xx% owing to the popularity of deep learning in the field of marketing, mainly for media and advertising. Here, the key applications include social media advertising, search advertising, and sales and marketing automation. Deep learning helps enterprises understand customer behavior and preference, which is essential in marketing.

Deep learning needs high-end machines, contrary to traditional machine learning algorithms. In addition, in traditional machine learning techniques, a majority of the applied features need to be identified by a domain expert in order to reduce data complexity and make patterns more visible to learning algorithms to work. However, deep learning learns high-level features from data in an incremental manner, which eliminates the requirement for domain expertise as well as hard feature extraction. Deep learning is also known as deep neural learning or deep neural network.
This data generation is estimated to increase further with upcoming technologies such as 5G. Therefore, it is estimated that deep learning will find applications in big data analytics in order to extract sophisticated patterns from a large amount of data. Deep learning can learn and assess a significant amount of unsupervised data; hence, it is considered as an appropriate tool for big data analytics. The increasing demand for big data analytics is estimated to further foster the deep learning market growth.

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The Major Prominent Players Covered in this Report:
NVIDIA, Samsung Electronics, Intel Corporation, Xilinx, Qualcomm, Micron Technology, IBM, Google Inc., Microsoft Corporation, and Amazon Web Services. The market also has start-ups such as Mythic, Graphcore, Adapteva, and Koniku operating globally.

By Hardware, CPU, GPU, FPGA, ASIC By Solution, Hardware, Software, Services By End-User, Automotive, Aerospace & defense, Healthcare, Manufacturing, Marketing, Others

Growing Domestic Demand and Expanding Pharmaceutical Sector to Drive the Demand for Deep Learning in the APAC Region
Asia-Pacific region is anticipated to hold the largest market share in the global Deep Learning market during the forecast period 2019-2026. The growth in this region can be attributed to the presence of emerging economies like India, China, Japan, Vietnam, and Indonesia, which account for the largest share in this region. India is one of the largest producers of Deep Learning and a major exporter of the product to various countries across the globe. India accounts for around 80% of the world’s exports of Deep Learning. The favorable climatic conditions and growth of agricultural inputs and allied services like cold storage and warehousing in India are prompting higher production.

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Key Questions Answered in The Report:
What will the Deep Learning market growth rate?
What are the key factors driving the global Deep Learning market?
Who are the key manufacturers in the Deep Learning market space?
What are the market opportunities, market risk, and market overview of the Deep Learning market?
What are sales, revenue, and price analysis of top manufacturers of the Deep Learning market?
Who are the distributors, traders, and dealers of the Deep Learning market?
What are the market opportunities and threats faced by the vendors in the global Steerable Medical Devices Industry?
What are sales, revenue, and price analysis by types and applications of the Deep Learning Industry?
What are sales, revenue, and price analysis by regions of Deep Learning industry?
What are the driving factors contributing to market growth during the short, medium, and long term?

Key Deep Learning Market Trends:
- The report identifies, determines, and forecasts the Global Deep Learning Market segments based on their type, sub-type, technology used, applications, end-users, and regions.
- Industry to Industry Holds Largest Share in the Deep Learning Market
- It examines the micro-markets based on their growth trends, development patterns, future prospects, and contribution to the overall market.
- Demand from Regional / geographical is Expected to Drive the Growth
- Rising Adoption of Market Segments in this Growth
- North American, Europe is Expected to Witness Higher Growth Rate over the Forecast Period
- It studies the competitive developments such as partnerships and collaborations, mergers and acquisitions (M&A), research and development (R&D) activities, product developments, and expansions in the Global Deep Learning Market.

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This release was published on openPR.