The Deep Learning Software Market applications end user market (security, marketing, healthcare, Fintech, 2023, the overall market is valued at $ 3.18 billion in 2018 and is expected to reach US $ 18.1 billion by 2027, an average of 41.7% an increase in computing power, reduced hardware costs and increased adoption of cloud, The growth of the in-depth learning market is accelerating. The use of Big Data analysis and the increase in adoption in customer-centric services are another key driver of this market.
Top key Vendors:
Artelnics, Bright Computing, BAIR, Intel, Cognex, IBM, Keras, Microsoft, VLFeat, NIVIDA, PaddlePaddle, Torch, SignalBox, Wolfram
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This technology is expected to stand out among the major players and researchers because it uses instant access to artificial intelligence in the areas of image and speech recognition and computer vision. Solution providers are looking for partnerships and collaboration. For example, in January 2018, Movidius worked with Google, Inc. to improve in-depth learning on mobile devices. In September 2018, Intel announced that it will acquire Movidius to improvise its computer vision and in-depth learning solutions.
This report provides in depth study of market using SWOT analysis i.e. Strength, Weakness, Opportunities and Threat to the organization. The Market report also provides an in-depth survey of key players in the market which is based on the various objectives of an organization such as profiling, the product outline, the quantity of production, required raw material, and the financial health of the organization.
Rapid improvements in information storage capacity, high computing performance and parallel processing have helped to quickly introduce in-depth learning skills in end-use industries such as automotive and medical. In addition, the need to understand and analyse enterprise-wide visual content to gain meaningful insight is expected to have a significant impact on the market during the forecast period.
This report studies market size, industry trends and forecasts, competitive environment and growth opportunities. This report categorizes the market by enterprise, region, type and end use market.
Table of Contents
Global Deep Learning Software Market Research Report
Chapter 1 Deep Learning Software Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Deep Learning Software Market Forecast
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Source: Deep Learning on Medium