Global Deep Learning Market: Drivers, Restraints, Opportunities, Trends, and Forecasts to 2023

Deep Learning or deep machine learning is a study of artificial neural networks and machine learning algorithms where more than one layer is hidden. These cascading layers are nonlinear processing units which are used for the alteration and quality extraction where each successive layer uses the output from the previous layer as input. Deep learning is applied across a gamut of industries such as automotive, finance, media and advertising, aerospace and defense, medical and others.

According to Infoholic Research, the Global Deep Learning Market is expected to traverse a high-octane growth at a CAGR of XX% during the forecast period 2017-2023.  Improvements in fast information storage capacity, parallelization and high computing power are growth propelling factors in the market. The rising prominence of Graphics Processing Unit (GPU) driven applications is resulting in increased adoption of the technology in scientific disciplines. Improvements in machine learning algorithms and advancement in deep learning chipsets are key growth opportunities in the market. Enterprises are using deep learning neural networks to find valuable insights from large volume of data for improving customer experience and for enhancing revenue opportunities. The pressing need for analysing and understanding visual content by the large and small enterprises is propelling the market growth. The rising hardware complexity owing to the complex algorithms applied in deep learning technology is a growth inhibitor in the market.

The study offers a comprehensive analysis of the Global Deep Learning market. Bringing out the complete key insights of the industry, the report aims to provide an opportunity for players to understand the latest trends, current market scenario, government initiatives, and technologies related to the market. In addition, it helps the venture capitalists in understanding the companies better and take informed decisions.

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Infoholic research works on a holistic 360° approach in order to deliver high quality, validated and reliable information in our market reports. The Market estimation and forecasting involves following steps:

  • Data Collation (Secondary & Primary)
  • In-house Estimation (Based on proprietary data bases and Models)
  • Market Triangulation
  • Forecasting


Market related information is congregated from both secondary and primary sources. Secondary sources include public sources such as regulatory frameworks, government IT spending, government demographic indicators, industry association statistics, and company publications along with paid sources such as Factiva, OneSource, Bloomberg among others.

Primary sources involved participants from all global stakeholders such as Solution providers, service providers, Industry associations, thought leaders etc. across levels such as CXOs, VPs and managers. Plus, our in-house industry experts having decades of industry experience contribute their consulting and advisory services.

For more details on Research Methodology kindly click here to Engage with our Analyst.

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