LONDON, Nov. 27, 2018 /PRNewswire/ -- Enterprise, Consumer, and Government Applications for Deep Learning Software, Hardware, and Services: Market Analysis and Forecasts for 125 Use Cases across 30 Industries
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Deep learning is a buzzword that has been hyped by the business and technical press for years, often with relatively meager results that failed to live up to expectations. But over the past 18 months, the true power of deep learning has been realized, thanks to advances in hardware and algorithms that use pattern recognition applied in a continuous learning loop, enabling them to train themselves to perform tasks without requiring explicit programming code. Indeed, some of the most successful deep learning use cases in use today center around incremental and practical advancements in areas such as image recognition, text analysis, product recommendations, fraud prevention, and content curation. The sheer power of deep learning, however, is likely to lead to the development of more powerful and disruptive applications of tomorrow, such as driverless cars, personalized education, and preventative healthcare.
Deep learning has been a key point of focus for many companies, given its potential to transform entire industries. Current leaders in the deep learning market include Google, Facebook, Microsoft, IBM, Amazon, Baidu, and others. Tractica believes the opportunity for deep learning spans a wide range of industries and geographies and is particularly disruptive in highly domain-specific markets with high-volume data needs and ontologies, and those with growing applications for machine perception. Deep learning software revenue is estimated to grow from $3 billion in 2017 to $67.2 billion by 2025.
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 125 deep learning use cases within 30 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 2017 through 2025. The report also includes profiles of 28 key players within the evolving deep learning market ecosystem.
Key Questions Addressed:
- What is the current state of the deep learning market and what drivers and barriers will shape its development over the next several years?
- What are the critical technology issues and configuration considerations businesses should know during the planning and implementation process?
- How and where will businesses gain (in cost savings and/or revenues) from applying deep learning technologies to their business processes and objectives?
- What are the primary use cases for deep learning in consumer, enterprise, and government markets?
- Who are the key players in the enterprise deep learning market, what is their competitive positioning, and which are poised for greatest success?
- What is the size of the deep learning market opportunity and how does it vary by industry and use case?
Who Needs This Report?
- Enterprise software companies
- Semiconductor and component manufacturers
- Service providers and systems integrators
- End-user organizations deploying deep learning systems
- Industry associations
- Government agencies
- Investor community
Download the full report: https://www.reportbuyer.com/product/5629013
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