Deep Learning: Enterprise, Consumer, and Government Applications for Deep Learning Software, Hardware, and Services: Market Analysis and Forecasts for 112 Use Cases

LONDON, May 31, 2017 /PRNewswire/ -- Deep learning, a computing construct based loosely on the architecture of the human brain, has emerged as one of the most promising enabling technologies in
the the world of artificial intelligence (AI). When exposed to vast amounts of data, deep learning systems develop basic pattern recognition, enabling algorithms to train themselves to perform tasks and adapt to new data. In the age of Big Data, when learning from and acting on so much data is the principal business objective, deep learning's architectural autonomy is turning heads, attracting investment, and inspiring strategic and competitive shifts across virtually every industry.


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Although many of the concepts underlying AI and technological biomimicry of human intelligence are well over 50 years old, deep learning's growth today is the result of a rather sudden convergence of three key trends: big, even colossal, data generation; advancements in hardware capabilities; and improvements in algorithms. These factors have accelerated research efforts in academia, as well as within startups and enterprises. Businesses around the world are beginning to harness deep learning due to its ability to drive efficiencies in the form of speed, accuracy, agility, and access in several key areas including product development and improvement, process optimization and functional workflows, personalization and customer insight, sales optimization, and innovation and long-range strategy.

This Tractica report examines the practical application of deep learning within consumer, enterprise, and government markets. The report provides strategic analysis and market forecasts for 112 deep learning use cases within 28 industry sectors, including an assessment of benefits and implementation considerations along with a quantification of the market opportunity for each use case. Market forecasts include deep learning software, hardware, and services revenue, segmented by world region, for the period from 2016 through 2025. The report also includes profiles of 26 key players within the evolving deep learning market ecosystem.

Key Market Forecasts
- Deep Learning Hardware, Software, and
Services Revenue by Segment, World Markets:
2016-2025
- Deep Learning Software Revenue by Region,
World Markets: 2016-2025
- Deep Learning Software Revenue by Industry,
World Markets: 2016-2025
- Deep Learning Software Revenue by Use Case
and Region, World Markets: 2016-2025
- Deep Learning-Driven Services Revenue by
Service Category and Region, World Markets:
2016-2025
- Deep Learning-Driven Hardware Revenue by
Product Category and Region, World Markets:
2016-2025

Industries
- Consumer
- Advertising
- Healthcare
- Business Services
- Finance
- Media & Entertainment
- Aerospace
- Retail
- Agriculture
- Investment
- Telecommunications
- Automotive
- Defense
- Logistics
- Manufacturing
- Government
- Transportation
- Education
- Others

Technologies
- Deep Neural Networks
- Supervised Learning
- Unsupervised Learning
- Unstructured Data
- Reinforcement Learning
- Convolutional Neural

Networks
- Recursive Neural Networks
- Deep Belief Networks
- Long Short Term Memory
Networks

Geographies
- North America
- Europe
- Asia Pacific
- Latin America
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