Global Deep Learning Market overview:

The Global Deep Learning Market is anticipated to reach USD 28.83 Billion and expand at a CAGR of 48.4% during the forecast period of 2018-2023. 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.

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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 Global Deep Learning Market is segmented on the basis of Solution, Application, End User and Region. Based on Solution segment, the software segment consists of software frameworks and platforms/APIs developed using algorithms and codes that enable hardware to carry out deep learning programs. Manufacturers and software providers offer different solutions frameworks/software development kits and APIs/platforms that are open to developers working on deep learning programs. For example, Qualcomm offers Zeroth SDK, which helps users and developers use Snapdragon 820 capabilities for deep learning applications such as image and sound processing, including speech recognition. The hardware segment consists of processor chips used for running deep learning algorithms based on Neuromorphic Architecture and von Neumann Architecture.

Based on Applications segment, the image recognition holds the largest share of the Deep Learning Market. The market for data mining is expected to witness the highest growth during the forecast period. Growing demand for pattern recognition, optical character recognition, code recognition, facial recognition, object recognition, and digital image processing is driving the growth of image recognition in the market. With the advent of new technologies, natural language processing and visual data mining have been developed using deep learning techniques. Data mining is used in the following applications: Sentiment Analysis, Machine Translation, Fingerprint Identification, Cybersecurity and Bioinformatics.

Regionally, North America held the largest market share in terms of revenue in 2019. Demand for Deep Learning Applications, such as Image Recognition, Signal Recognition and data mining, in industries such as Aerospace & Defense, Automotive, Healthcare, IT and Telecommunications is expected to drive the growth of the market in North America. The market in Asia-Pacific is expected to grow at the highest Compound Annual Growth Rate from 2019 to 2023. In Asia-Pacific, the market for Deep Learning is growing as this technology is used in not only electronic products, such as smartphones, tablets, and PCs, but also medical and automotive products. High economic growth witnessed by major countries, such as China and India, is expected to drive the growth of the market in Asia-Pacific

 

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Major Key Players:         

1 Google Inc.

2 Microsoft Corporation

3 Qualcomm Technologies Inc.

4 IBM Corporation

5 Intel Corporation

6 General Vision Inc.

7 NVIDIA Corporation

Market segment by Regions/Countries, this report covers:

1 North America

2 Europe

3 Asia-Pacific

4 Latin America

5 Middle East

6 Africa

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Table of Contents:

Global Deep Learning Market Report 2018

Chapter 1: Executive summary

Chapter 2: Global deep learning market - market overview

Chapter 3: North America deep learning market- market overview

Chapter 4: Europe deep learning market- market overview

Chapter 5: Asia-Pacific deep learning market- market overview

Chapter 6: Latin America deep learning market- market overview

Chapter 7: Middle East and Africa deep learning market- market overview

Chapter 8: Competitive landscape

Chapter 9: Conclusion

Chapter 10: Appendix

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