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.

Report Scope

The global market report scope consists of a comprehensive study covering primary factors impacting the industry trends. The study includes analysis of regional and country-level market dynamics. The scope also consists of competitive overview offering company market shares coupled with company profiles for key revenue contributing companies. The report scope covers a detailed competitive outlook covering market shares and profiles of key participants in the market share.

Major Market Player

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

The years considered for the study are as follows:

●       Base year - 2020

●       Estimated year - 2021

●       Projected year – 2022

      ●       forecast period - 2021 to 2027

Key Questions Addressed by the Report

●   New products/service competitors are exploring?

●   Key players in the deep learning Market and how extreme is the competition?

●  What are the future market trends that manufacturers are emphasizing on in the future updates?

●   For each segment, what are the crucial opportunities in the market?

● What are the key growth strategies embraced by key market players in the market?

● What are the key success strategies adopted by major competitors in the market?

Why Buy this Report:

●   Obtain comprehensive insights on the deep learning market trends

●   Note comprehensive analysis of the market status

●   identifies the market opportunities and growth segments

● Assessing business segments & product portfolios, and explain competitive dynamics

● Provide strategy planning and industry dynamics to strengthen decision making

Report  Contents 

1. Deep learning Market introduction
1.1 Key Insights
1.2 Report Overview
1.3 Markets Covered
1.4 Stakeholders

2. Research Methodology

2.1. Research Scope
2.2. Market Research Process
2.3. Research Data Analysis
2.4. Market Size Estimation

3. Executive Summary

4. Market Overview

4.1. Introduction

4.2. Market Drivers and Restraints

5. By Offering

5.1.  Key Points

5.1.1.  Hardware
5.1.1.1. Processor
5.1.1.2.GPU
5.1.1.3. FPGA
5.1.1.4. CPU
5.1.1.5. Others (TPU, DPU, VPU, BPU, and IPU)
5.1.2. Memory
5.1.3. Network

5.2. Software

5.2.1. Solution (Software Framework/SDK)

5.2.2. Platform/API

5.3. Service

5.3.1. Installation

5.3.2. Training

5.3.3. Support & Maintenance

6. By Application

6.1.  Key Points
6.2. Signal Recognition
6.3. Data Mining
6.4. Image Recognition
6.5. Others

7. By End-User Industry

7.1.  Key Points

7.2. Automotive

7.2.1. Autonomous Driving

7.2.2. Human–Machine Interface

7.2.3. Semiautonomous Driving

7.3. Law

7.3.1. eDiscovery

7.3.2. Legal Research

7.3.3. Contract Analysis

7.3.4. Case Prediction

7.3.5. Compliance

7.3.6. Others (Intellectual Property, e-Billing, Knowledge Management)

7.4. Agriculture

7.4.1. Precision Farming

7.4.2. Livestock Monitoring

7.4.3. Drone Analytics

7.4.4. Agricultural Robots

7.4.5. Others

7.5. Retail

7.5.1. Product Recommendation and Planning

7.5.2. Customer Relationship Management

7.5.3. Visual Search

7.5.4. Virtual Assistant

7.5.5. Price Optimization

7.5.6. Payment Services Management

7.6. Others

8. By Region

8.1. Key Points

8.2. North America

8.3. Europe

8.4. Asia Pacific

8.5. Rest of the World

9. Company Profile

(Profile contain company overview, products/services, financials & recent developments)

9.1. NVIDIA (US)

9.2. Intel (US)

9.3. General Vision (US)

9.4. Graphcore (UK)

9.5. Xilinx (US)

9.6. Qualcomm (US)

9.7. solution providers such as Google (US)

9.8. Microsoft (US)

9.9. AWS (US)



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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