Impact of Deep Learning on existing technologies

Published: Aug 2019

Deep learning market is evolving rapidly, due to the emergence of new computing technologies. Computers using deep learning are expected to replace manual labor as well as mental labor. The major impacts by this technology will be the automation of already existing technologies such as driverless vehicles, automated transportation, and robotics. Additionally, it will impact the education system across the globe as it can differentiate personalities, character, strength, and weaknesses of the students. The technology has already impacted the gaming industry, where it is being implemented in some game engines such as Unity engine.

Browse the full report of "Deep Learning Technology Market by Application (Data Mining, Image Recognition, Signal Recognition, and Others), by End-User (BFSI, Manufacturing, Healthcare, Automotive, and Others) – Industry Size, Share, Global Trends, Competitive Analysis and Forecast, 2019 to 2025" at https://www.omrglobal.com/industry-reports/deep-learning-technology-market

Factors Driving Deep Learning Market

  • Increasing productivity
  • The growing demand for a decrease in error rates
  • Amount of data increasing
  • Increasing demand for blockchain
  • Need for maximizing work efficiency

The companies across the globe are looking to hold their big data sets as a training ground to develop sharper AI programs that can interact with the world in more natural ways and extract useful information from it in ways that have never been done before. It has been found that availability of extremely powerful GPU’s, huge training data and combination of neural network has given the ability to create powerful and intelligent machines which can even surpass human senses and intelligence.

Deep Learning Technology Applications

  • Speech recognition and face recognition
  • Using virtual reality for healthcare training
  • Better stock market predictions

Recently, the reliability of deep learning has increased where it correctly predicted the stock market behavior with decent accuracy. Due to which more investments are coming towards deep learning. Additionally, organizations are providing smart customer support with the help of this technology. Deep learning is also being implemented in existing agriculture technologies such as automated irrigation systems, drones, robocrop, precision agriculture system, greenhouse climate controller and animal identification and health monitoring.

Bomb disposal is one of the most risky and difficult jobs, now AI-controlled robots and drones are replacing humans. Most of these robots are being controlled by humans right now, however, the number of researches being done on deep learning technology is increasing, which will enable these robots and drone to work independently without depending on humans.

Hospitals are also implementing deep learning and artificial intelligence technology. Deep learning is also intercepting some of the most uncontrollable issues such as enabling researchers to use predictive models and understanding genetic diseases.

Current Market Trends in Deep Learning Technology

  • The easy availability of business data will contribute toward the creation of better deep learning models and algorithms.
  • In manufacturing and automobile industries, AI-controlled robots are being tested, which may become a reality in the near future.
  • AI is now being used for making reports using customer feedback as it has the ability to convert a huge amount of data into text

Global Deep Learning Technology Market – Segmentation

By Application

  • Data Mining
  • Image Recognition
  • Signal Recognition
  • Others

By End-User

  • BFSI
  • Manufacturing
  • Healthcare
  • Automotive

Global Deep Learning Market –Region

North America

  • US
  • Canada

Europe

  • Germany
  • France
  • UK
  • Spain
  • Italy
  • Rest of Europe

Asia-Pacific

  • China
  • India
  • South Korea
  • Japan
  • Rest of Asia-Pacific

Rest of the world

  • Middle East & Africa
  • Latin America

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