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Global Deep Learning Market Size, Status and Forecast 2021-2027
Published Date: November 2019
|
Report Code: QYRE-Auto-24M352
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deep learning market

Global Deep Learning Market Size, Status and Forecast 2021-2027

Code: QYRE-Auto-24M352
Report
November 2019
129 Pages
QYResearch
Region: Global,
Description
Table of Content
Tables & Figures

Deep Learning Market Report

The global Deep Learning market size is projected to reach US$ 11910 million by 2026, from US$ 2671.2 million in 2019, at a CAGR of 23.6% during 2021-2026.

The deep learning market has been segmented on the basis of offerings, applications, end-user industries, and geographies. In terms of offerings, software holds the largest share of the deep learning market. Also, the market for services is expected to grow at the highest CAGR from 2018 to 2023.

The global Deep Learning market size is projected to reach US$ 11910 million by 2026

The increasing adoption of deep learning software solutions in various applications, such as smartphone assistants, ATMs that read checks, voice and image recognition software on social networks, and software that serves up ads on many websites, is driving the growth of machine learning technology in the deep learning market. Most companies that manufacture and develop deep learning systems and related software provide both online and offline support, depending on the application. Several companies provide installation, training, and support pertaining to these systems, along with online assistance and post-maintenance of software and required services.

With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Deep Learning market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Deep Learning market in terms of revenue.

Deep Learning market size is projected to reach US$ 11910 million by 2026, from US$ 2671.2 million in 2019, at a CAGR of 23.6% during 2021-2026.

On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Deep Learning market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Deep Learning market.

Deep Learning Market Type

  • Hardware
  • Software
  • Services

Deep Learning Market Application

  • Healthcare
  • Manufacturing
  • Automotive
  • Agriculture
  • Retail
  • Security
  • Human Resources
  • Marketing

Deep Learning Market Regions

  • North America
    • United States
    • Canada
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Russia
    • Nordic
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • South Korea
    • Southeast Asia
    • India
    • Australia
  • Rest of Asia-Pacific
    • Latin America
    • Mexico
    • Brazil
  • Middle East & Africa
    • Turkey
    • Saudi Arabia
    • UAE
    • Rest of Middle East & Africa

In the competitive analysis section of the report, leading as well as prominent players of the global Deep Learning market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2016-2021. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by players for the period 2016-2021.

Deep Learning Market Companies

  • Amazon Web Services (AWS)
  • Google
  • IBM
  • Intel
  • Micron Technology
  • Microsoft
  • Nvidia
  • Qualcomm
  • Samsung
  • Sensory Inc.
  • Skymind
  • Xilinx
  • AMD
  • General Vision
  • Graphcore
  • Mellanox Technologies
  • Huawei Technologies
  • Fujitsu
  • Baidu
  • Mythic
  • Adapteva
  • Koniku

Deep Learning Market Scope

Report Metric

Details

Report Name

Deep Learning Market Report

The Market size value in 2019

2671.2 Million USD

The Revenue forecast in 2026

11910 Million USD

Growth Rate

CAGR of 23.6% from 2021 to 2026

Base year considered

2019

Forecast period

2021-2026

Forecast units

Value (USD)

Segments covered

Type, End-User, Offerings, and Region

Report coverage

Revenue & volume forecast, company share, competitive landscape, growth factors, and trends

Geographic regions covered

North America, Europe, Asia Pacific, Latin America, Middle East & Africa

Companies covered

Google, IBM, Intel, Micron Technology, Microsoft, Nvidia, Qualcomm, Samsung, Sensory Inc., Skymind, Xilinx, AMD, General Vision, Graphcore, Mellanox Technologies, Huawei Technologies, Fujitsu, Baidu, Mythic, Adapteva, Koniku.

Frequently Asked Questions About This Report

1. What is the Deep Learning Market?

Ans. Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.

2. How big is the Deep Learning Market?

Ans. The global Deep Learning market size is projected to reach US$ 11910 million by 2026, from US$ 2671.2 million in 2019.

3. What is the Deep Learning Market Growth?

Ans. The global Deep Learning market is expected to grow at a compound annual growth rate of 23.6% from 2021 to 2026.

4. Who are the major key players in Deep Learning Market?

Ans. Google, IBM, Intel, Micron Technology, Microsoft, Nvidia, Qualcomm, Samsung, Sensory Inc., Skymind, Xilinx, AMD, General Vision, Graphcore, Mellanox Technologies, Huawei Technologies, Fujitsu, Baidu, Mythic, Adapteva, Koniku.

Table of Contents

1 Report Overview

    1.1 Study Scope

    1.2 Market Analysis by Type

        1.2.1 Global Deep Learning Market Size Growth Rate by Type: 2016 VS 2021 VS 2027

        1.2.2 Hardware

        1.2.3 Software

        1.2.4 Services

    1.3 Market by Application

        1.3.1 Global Deep Learning Market Share by Application: 2016 VS 2021 VS 2027

        1.3.2 Healthcare

        1.3.3 Manufacturing

        1.3.4 Automotive

        1.3.5 Agriculture

        1.3.6 Retail

        1.3.7 Security

        1.3.8 Human Resources

        1.3.9 Marketing

    1.4 Study Objectives

    1.5 Years Considered

 

2 Global Growth Trends

    2.1 Global Deep Learning Market Perspective (2016-2027)

    2.2 Deep Learning Growth Trends by Regions

        2.2.1 Deep Learning Market Size by Regions: 2016 VS 2021 VS 2027

        2.2.2 Deep Learning Historic Market Share by Regions (2016-2021)

        2.2.3 Deep Learning Forecasted Market Size by Regions (2022-2027)

    2.3 Deep Learning Industry Dynamic

        2.3.1 Deep Learning Market Trends

        2.3.2 Deep Learning Market Drivers

        2.3.3 Deep Learning Market Challenges

        2.3.4 Deep Learning Market Restraints

 

3 Competition Landscape by Key Players

    3.1 Global Top Deep Learning Players by Revenue

        3.1.1 Global Top Deep Learning Players by Revenue (2016-2021)

        3.1.2 Global Deep Learning Revenue Market Share by Players (2016-2021)

    3.2 Global Deep Learning Market Share by Company Type (Tier 1, Tier 2 and Tier 3)

    3.3 Players Covered: Ranking by Deep Learning Revenue

    3.4 Global Deep Learning Market Concentration Ratio

        3.4.1 Global Deep Learning Market Concentration Ratio (CR5 and HHI)

        3.4.2 Global Top 10 and Top 5 Companies by Deep Learning Revenue in 2020

    3.5 Deep Learning Key Players Head office and Area Served

    3.6 Key Players Deep Learning Product Solution and Service

    3.7 Date of Enter into Deep Learning Market

    3.8 Mergers & Acquisitions, Expansion Plans

 

4 Deep Learning Breakdown Data by Type

    4.1 Global Deep Learning Historic Market Size by Type (2016-2021)

    4.2 Global Deep Learning Forecasted Market Size by Type (2022-2027)

 

5 Deep Learning Breakdown Data by Application

    5.1 Global Deep Learning Historic Market Size by Application (2016-2021)

    5.2 Global Deep Learning Forecasted Market Size by Application (2022-2027)

 

6 North America

    6.1 North America Deep Learning Market Size (2016-2027)

    6.2 North America Deep Learning Market Size by Type

        6.2.1 North America Deep Learning Market Size by Type (2016-2021)

        6.2.2 North America Deep Learning Market Size by Type (2022-2027)

        6.2.3 North America Deep Learning Market Size by Type (2016-2027)

    6.3 North America Deep Learning Market Size by Application

        6.3.1 North America Deep Learning Market Size by Application (2016-2021)

        6.3.2 North America Deep Learning Market Size by Application (2022-2027)

        6.3.3 North America Deep Learning Market Size by Application (2016-2027)

    6.4 North America Deep Learning Market Size by Country

        6.4.1 North America Deep Learning Market Size by Country (2016-2021)

        6.4.2 North America Deep Learning Market Size by Country (2022-2027)

        6.4.3 United States

        6.4.4 Canada

 

7 Europe

    7.1 Europe Deep Learning Market Size (2016-2027)

    7.2 Europe Deep Learning Market Size by Type

        7.2.1 Europe Deep Learning Market Size by Type (2016-2021)

        7.2.2 Europe Deep Learning Market Size by Type (2022-2027)

        7.2.3 Europe Deep Learning Market Size by Type (2016-2027)

    7.3 Europe Deep Learning Market Size by Application

        7.3.1 Europe Deep Learning Market Size by Application (2016-2021)

        7.3.2 Europe Deep Learning Market Size by Application (2022-2027)

        7.3.3 Europe Deep Learning Market Size by Application (2016-2027)

    7.4 Europe Deep Learning Market Size by Country

        7.4.1 Europe Deep Learning Market Size by Country (2016-2021)

        7.4.2 Europe Deep Learning Market Size by Country (2022-2027)

        7.4.3 Germany

        7.4.4 France

        7.4.5 U.K.

        7.4.6 Italy

        7.4.7 Russia

        7.4.8 Nordic

 

8 Asia-Pacific

    8.1 Asia-Pacific Deep Learning Market Size (2016-2027)

    8.2 Asia-Pacific Deep Learning Market Size by Type

        8.2.1 Asia-Pacific Deep Learning Market Size by Type (2016-2021)

        8.2.2 Asia-Pacific Deep Learning Market Size by Type (2022-2027)

        8.2.3 Asia-Pacific Deep Learning Market Size by Type (2016-2027)

    8.3 Asia-Pacific Deep Learning Market Size by Application

        8.3.1 Asia-Pacific Deep Learning Market Size by Application (2016-2021)

        8.3.2 Asia-Pacific Deep Learning Market Size by Application (2022-2027)

        8.3.3 Asia-Pacific Deep Learning Market Size by Application (2016-2027)

    8.4 Asia-Pacific Deep Learning Market Size by Region

        8.4.1 Asia-Pacific Deep Learning Market Size by Region (2016-2021)

        8.4.2 Asia-Pacific Deep Learning Market Size by Region (2022-2027)

        8.4.3 China

        8.4.4 Japan

        8.4.5 South Korea

        8.4.6 Southeast Asia

        8.4.7 India

        8.4.8 Australia

 

9 Latin America

    9.1 Latin America Deep Learning Market Size (2016-2027)

    9.2 Latin America Deep Learning Market Size by Type

        9.2.1 Latin America Deep Learning Market Size by Type (2016-2021)

        9.2.2 Latin America Deep Learning Market Size by Type (2022-2027)

        9.2.3 Latin America Deep Learning Market Size by Type (2016-2027)

    9.3 Latin America Deep Learning Market Size by Application

        9.3.1 Latin America Deep Learning Market Size by Application (2016-2021)

        9.3.2 Latin America Deep Learning Market Size by Application (2022-2027)

        9.3.3 Latin America Deep Learning Market Size by Application (2016-2027)

    9.4 Latin America Deep Learning Market Size by Country

        9.4.1 Latin America Deep Learning Market Size by Country (2016-2021)

        9.4.2 Latin America Deep Learning Market Size by Country (2022-2027)

        9.4.3 Mexico

        9.4.4 Brazil

 

10 Middle East & Africa

    10.1 Middle East & Africa Deep Learning Market Size (2016-2027)

    10.2 Middle East & Africa Deep Learning Market Size by Type

        10.2.1 Middle East & Africa Deep Learning Market Size by Type (2016-2021)

        10.2.2 Middle East & Africa Deep Learning Market Size by Type (2022-2027)

        10.2.3 Middle East & Africa Deep Learning Market Size by Type (2016-2027)

    10.3 Middle East & Africa Deep Learning Market Size by Application

        10.3.1 Middle East & Africa Deep Learning Market Size by Application (2016-2021)

        10.3.2 Middle East & Africa Deep Learning Market Size by Application (2022-2027)

        10.3.3 Middle East & Africa Deep Learning Market Size by Application (2016-2027)

    10.4 Middle East & Africa Deep Learning Market Size by Country

        10.4.1 Middle East & Africa Deep Learning Market Size by Country (2016-2021)

        10.4.2 Middle East & Africa Deep Learning Market Size by Country (2022-2027)

        10.4.3 Turkey

        10.4.4 Saudi Arabia

        10.4.5 UAE

 

11 Key Players Profiles

    11.1 Amazon Web Services (AWS)

        11.1.1 Amazon Web Services (AWS) Company Details

        11.1.2 Amazon Web Services (AWS) Business Overview

        11.1.3 Amazon Web Services (AWS) Deep Learning Introduction

        11.1.4 Amazon Web Services (AWS) Revenue in Deep Learning Business (2016-2021)

        11.1.5 Amazon Web Services (AWS) Recent Development

    11.2 Google

        11.2.1 Google Company Details

        11.2.2 Google Business Overview

        11.2.3 Google Deep Learning Introduction

        11.2.4 Google Revenue in Deep Learning Business (2016-2021)

        11.2.5 Google Recent Development

    11.3 IBM

        11.3.1 IBM Company Details

        11.3.2 IBM Business Overview

        11.3.3 IBM Deep Learning Introduction

        11.3.4 IBM Revenue in Deep Learning Business (2016-2021)

        11.3.5 IBM Recent Development

    11.4 Intel

        11.4.1 Intel Company Details

        11.4.2 Intel Business Overview

        11.4.3 Intel Deep Learning Introduction

        11.4.4 Intel Revenue in Deep Learning Business (2016-2021)

        11.4.5 Intel Recent Development

    11.5 Micron Technology

        11.5.1 Micron Technology Company Details

        11.5.2 Micron Technology Business Overview

        11.5.3 Micron Technology Deep Learning Introduction

        11.5.4 Micron Technology Revenue in Deep Learning Business (2016-2021)

        11.5.5 Micron Technology Recent Development

    11.6 Microsoft

        11.6.1 Microsoft Company Details

        11.6.2 Microsoft Business Overview

        11.6.3 Microsoft Deep Learning Introduction

        11.6.4 Microsoft Revenue in Deep Learning Business (2016-2021)

        11.6.5 Microsoft Recent Development

    11.7 Nvidia

        11.7.1 Nvidia Company Details

        11.7.2 Nvidia Business Overview

        11.7.3 Nvidia Deep Learning Introduction

        11.7.4 Nvidia Revenue in Deep Learning Business (2016-2021)

        11.7.5 Nvidia Recent Development

    11.8 Qualcomm

        11.8.1 Qualcomm Company Details

        11.8.2 Qualcomm Business Overview

        11.8.3 Qualcomm Deep Learning Introduction

        11.8.4 Qualcomm Revenue in Deep Learning Business (2016-2021)

        11.8.5 Qualcomm Recent Development

    11.9 Samsung

        11.9.1 Samsung Company Details

        11.9.2 Samsung Business Overview

        11.9.3 Samsung Deep Learning Introduction

        11.9.4 Samsung Revenue in Deep Learning Business (2016-2021)

        11.9.5 Samsung Recent Development

    11.10 Sensory Inc.

        11.10.1 Sensory Inc. Company Details

        11.10.2 Sensory Inc. Business Overview

        11.10.3 Sensory Inc. Deep Learning Introduction

        11.10.4 Sensory Inc. Revenue in Deep Learning Business (2016-2021)

        11.10.5 Sensory Inc. Recent Development

    11.11 Skymind

        11.11.1 Skymind Company Details

        11.11.2 Skymind Business Overview

        11.11.3 Skymind Deep Learning Introduction

        11.11.4 Skymind Revenue in Deep Learning Business (2016-2021)

        11.11.5 Skymind Recent Development

    11.12 Xilinx

        11.12.1 Xilinx Company Details

        11.12.2 Xilinx Business Overview

        11.12.3 Xilinx Deep Learning Introduction

        11.12.4 Xilinx Revenue in Deep Learning Business (2016-2021)

        11.12.5 Xilinx Recent Development

    11.13 AMD

        11.13.1 AMD Company Details

        11.13.2 AMD Business Overview

        11.13.3 AMD Deep Learning Introduction

        11.13.4 AMD Revenue in Deep Learning Business (2016-2021)

        11.13.5 AMD Recent Development

    11.14 General Vision

        11.14.1 General Vision Company Details

        11.14.2 General Vision Business Overview

        11.14.3 General Vision Deep Learning Introduction

        11.14.4 General Vision Revenue in Deep Learning Business (2016-2021)

        11.14.5 General Vision Recent Development

    11.15 Graphcore

        11.15.1 Graphcore Company Details

        11.15.2 Graphcore Business Overview

        11.15.3 Graphcore Deep Learning Introduction

        11.15.4 Graphcore Revenue in Deep Learning Business (2016-2021)

        11.15.5 Graphcore Recent Development

    11.16 Mellanox Technologies

        11.16.1 Mellanox Technologies Company Details

        11.16.2 Mellanox Technologies Business Overview

        11.16.3 Mellanox Technologies Deep Learning Introduction

        11.16.4 Mellanox Technologies Revenue in Deep Learning Business (2016-2021)

        11.16.5 Mellanox Technologies Recent Development

    11.17 Huawei Technologies

        11.17.1 Huawei Technologies Company Details

        11.17.2 Huawei Technologies Business Overview

        11.17.3 Huawei Technologies Deep Learning Introduction

        11.17.4 Huawei Technologies Revenue in Deep Learning Business (2016-2021)

        11.17.5 Huawei Technologies Recent Development

    11.18 Fujitsu

        11.18.1 Fujitsu Company Details

        11.18.2 Fujitsu Business Overview

        11.18.3 Fujitsu Deep Learning Introduction

        11.18.4 Fujitsu Revenue in Deep Learning Business (2016-2021)

        11.18.5 Fujitsu Recent Development

    11.18 Baidu

        .1 Baidu Company Details

        .2 Baidu Business Overview

        .3 Baidu Deep Learning Introduction

        .4 Baidu Revenue in Deep Learning Business (2016-2021)

        .5 Baidu Recent Development

    11.20 Mythic

        11.20.1 Mythic Company Details

        11.20.2 Mythic Business Overview

        11.20.3 Mythic Deep Learning Introduction

        11.20.4 Mythic Revenue in Deep Learning Business (2016-2021)

        11.20.5 Mythic Recent Development

    11.21 Adapteva

        11.21.1 Adapteva Company Details

        11.21.2 Adapteva Business Overview

        11.21.3 Adapteva Deep Learning Introduction

        11.21.4 Adapteva Revenue in Deep Learning Business (2016-2021)

        11.21.5 Adapteva Recent Development

    11.22 Koniku

        11.22.1 Koniku Company Details

        11.22.2 Koniku Business Overview

        11.22.3 Koniku Deep Learning Introduction

        11.22.4 Koniku Revenue in Deep Learning Business (2016-2021)

        11.22.5 Koniku Recent Development

 

12 Analyst's Viewpoints/Conclusions

 

13 Appendix

    13.1 Research Methodology

        13.1.1 Methodology/Research Approach

        13.1.2 Data Source

    13.2 Disclaimer

    13.3 Author Details



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