Deep Learning Market competitive analysis & industry trends

Deep Learning Market is projected to grow up to USD 33.4 billion by 2027 growing at a CAGR of 47.3% during the forecasting period 2021-2027.

The global deep learning market is gaining prominence on account of its complex data-driven applications including voice and image recognition. As the amount of data generated in various end-use industries continues to grow at an alarming rate, the industry’s growth is expected to gain steam. The growing demand for human-machine interaction also presents new growth opportunities for solution providers, who can capitalise on this demand by providing better solutions and capabilities. Market expansion will be aided as a result of this. Report on the Global Deep Learning Market provides an in-depth analysis of the industry.

Deep learning, also known as deep structured learning, is a subset of machine learning that analyses data by employing layered algorithmic models to do so. He or she is a critical component of data science, which is the application of statistics and predictive modelling to the collection, analysis, and interpretation of massive amounts of data. The use of artificial intelligence (AI) to imitate the functioning of the human brain while processing data, forming patterns, and making decisions is also included. Among the many appliations of this technology are image recognition tools, natural language processing (NLP) and speech recognition software, self-driving vehicles, and language translation services. It is found in a wide range of industries including retail, healthcare, automotive, agriculture, security, and manufacturing.

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The deep learning Market report has been categorized as below

by Offering

• Hardware

• Processor

  • GPU

  • FPGA

  • CPU

  • Others (TPU, DPU, VPU, BPU, and IPU)

• Memory

• Network

• Software

• Solution (Software Framework/SDK)

• Platform/API

• Service

• Installation

• Training

• Support & Maintenance

by Application

•    Signal Recognition

•    Data Mining

•    Image Recognition

•    Others

by End-User Industry

•    Automotive

• Autonomous Driving

• Human–Machine Interface

• Semiautonomous Driving

•   Law

• eDiscovery

• Legal Research

• Contract Analysis

• Case Prediction

• Compliance

• Others (Intellectual Property, e-Billing, Knowledge Management)

•    Agriculture

• Precision Farming

• Livestock Monitoring

• Drone Analytics

• Agricultural Robots

• Others

•   Retail

• Product Recommendation and Planning

• Customer Relationship Management

• Visual Search

• Virtual Assistant

• Price Optimization

• Payment Services Management

•    Others

By Region

• North America

• Europe

• Asia Pacific

• Rest of the World

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