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Global Deep Learning Market Analysis Report, Share, Trends, Overview 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 capitalize 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 applications 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.

View report copy @ https://whipsmartmi.com/report/deep-learning-market

The key players of the market are NVIDIA (US), Intel (US), General Vision (US), Graphcore (UK), Xilinx (US), and Qualcomm (US); and solution providers such as Google (US), Microsoft (US), AWS (US), Sensory Inc. (US), and IBM (US). Samsung Electronics (South Korea), Micron Technology (US), and Mellanox Technologies (Israel)

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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