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Deep Learning Market by Component (Hardware, Software, Services) by Application (Image Recognition, Signal Recognition, Data Mining, Others) by End-user (Healthcare, Manufacturing, Automotive, Agriculture, Retail, Security, Human Resources, Marketing, Law, Fintech, Others): Global Industry Size, Share, Statistics and Forecast 2015 – 2027

Summary
Table Of Content

Deep learning is a type of machine learning that employs a three- or more-layered neural network. These neural networks try but fail to mimic the activity of the human brain, allowing it to “learn” from massive amounts of data. While a single-layer neural network can still make approximations, adding additional hidden layers can help optimize and adjust the network for accuracy. Deep learning is being driven by increased computing power and lower hardware prices, increased acceptance of cloud-based technologies, applications in big data analytics, and expanding AI use in customer-centric services. Deep learning had a market value of $ 2.7 billion in 2020, which is expected to reach $ 21.1 billion by 2027. The market is expected to grow at a CAGR of 34.5% over the forecast period.

Interesting Facts of the Deep Learning Market.

Deep learning is a type of machine learning itself
Simply speaking, deep learning mirrors the function of the human brain
Deep learning function in layers
Deep learning is expected to bring an AI boom
Deep learning is a subset of machine learning which, in turn, is a subset of AI

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COVID-19 Impact

Companies are using reports to uncover new financial risks and opportunities due to Covid-19, which is driving demand for artificial intelligence and deep learning. IBM Corporation, for example, is examining consumer behavior and estimating the long-term effects of corona in the coming quarter using tools such as the IBM Watson Tone Analyzer and the IBM ILOG CPLEX. Furthermore, the healthcare industry requires a more secure and scalable cloud infrastructure to protect accurate patient data with speed and flexibility. Advanced technologies such as cloud computing, machine learning, big data analytics, and deep learning are in high demand for patient data analysis during the pandemic.

Image recognition accounts for the largest share in 2020 of the deep learning market

Image recognition accounts for the largest share of the deep learning market in terms of applications. Deep learning is expected to be the fastest growing segment of the data mining industry over the forecast period. Code recognition, digital image processing, facial recognition, object recognition, optical character recognition, and pattern recognition are all becoming more prevalent. As new technologies have emerged, deep learning methodologies have created natural language processing and visual data mining. Sentiment analysis, machine translation, fingerprint identification, cybersecurity, and biology are data mining applications.

North America accounts for the dominant position in the global deep learning market.

North America is expected to account for a significant portion of the global deep learning market due to the continued expansion of significant data volume and the rising demand for the integration of deep learning in corporate consumer-centric solutions. In addition, the growing importance of anticipating critical trends and insights related to customer behavior and operations has been a primary motivator for major corporations to shift their focus toward using artificial intelligence (AI) and big data to create value and provide a personalized experience.

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Global Deep Learning Market Key Players:

Xilinx, Skymind, Sensory Inc., Samsung Electronics, Qualcomm, Nvidia, Microsoft Corporation, Micron Technology, International Business Machine, Intel, Google, and Amazon Web Services (AWS) are among the major companies. In addition, transcoder, a system that uses unsupervised deep learning to transform code from one programming language to another, was released in June 2020 by Facebook AI Research. After being trained on over 2.8 million open-source projects, TransCoder outperformed current rule-based code translation algorithms.

1.Preface
1.1.Report Description
1.1.1.Purpose of the Report
1.1.2.Target Audience
1.1.3.USP and Key Offerings
1.2.Research Scope
1.3.Research Methodology
1.3.1.Phase I – Secondary Research
1.3.2.Phase II – Primary Research
1.3.3.Phase III – Expert Panel Review
1.3.4.Approach Adopted
1.3.4.1.Top-Down Approach
1.3.4.2.Bottom-Up Approach
1.3.5.Assumptions
1.4.Market Segmentation

2.Executive Summary
2.1.Market Snapshot: Global Deep Learning Market

3.Market Dynamics& Factors Analysis
3.1.Introduction
3.1.1. Global Deep Learning Market Value, 2015-2027, (US$ Mn)
3.2.Market Dynamics
3.2.1.Key Growth Trends
3.2.2.Major Industry Challenges
3.2.3.Key Growth Pockets
3.3.Attractive Investment Proposition,2020
3.3.1.Component
3.3.2.Application
3.3.3.End-user
3.4.Porter’s Five Forces Analysis
3.4.1.Threat of New Entrants
3.4.2.Bargaining Power of Buyers/Consumers
3.4.3.Bargaining Power of Suppliers
3.4.4.Threat of Substitute Applications
3.4.5.Intensity of Competitive Rivalry
3.5.Value Chain Analysis

4.Market Positioning of Key Players, 2020
4.1.Company market share of key players, 2020
4.2.Top 3 Players
4.3.Major Strategies Adopted by Key Players

5.COVID 19 Impact Analysis
5.1.Global Deep Learning Market Pre Vs Post COVID 19, 2019 – 2027
5.2.Impact on Import & Export
5.3.Impact on Demand & Supply

6.North America
6.1.North America Deep Learning Market, by Country, 2015-2027(US$ Mn)
6.1.1.U.S.
6.1.2.Canada
6.2.North America Deep Learning Market, by Component, 2015-2027(US$ Mn)
6.2.1.Overview
6.2.2.Hardware
6.2.3.Software
6.2.4.Services
6.3.North America Deep Learning Market, by Application, 2015-2027(US$ Mn)
6.3.1.Overview
6.3.2.Image Recognition
6.3.3.Signal Recognition
6.3.4.Data Mining
6.3.5.Others
6.4.North America Deep Learning Market, by End-user, 2015-2027(US$ Mn)
6.4.1.Overview
6.4.2.Healthcare
6.4.3.Manufacturing
6.4.4.Automotive
6.4.5.Agriculture
6.4.6.Retail
6.4.7.Security
6.4.8.Human Resources
6.4.9.Marketing
6.4.10.Law
6.4.11.Fintech
6.4.12.Others

7.Europe
7.1.Europe Deep Learning Market, by Country, 2015-2027(US$ Mn)
7.1.1.UK
7.1.2.France
7.1.3.Germany
7.1.4.Italy
7.1.5.Russia
7.1.6.Spain
7.1.7.Rest of Europe
7.2.Europe Deep Learning Market, by Component, 2015-2027(US$ Mn)
7.2.1.Overview
7.2.2.Hardware
7.2.3.Software
7.2.4.Services
7.3.Europe Deep Learning Market, by Application, 2015-2027(US$ Mn)
7.3.1.Overview
7.3.2.Image Recognition
7.3.3.Signal Recognition
7.3.4.Data Mining
7.3.5.Others
7.4.Europe Deep Learning Market, by End-user, 2015-2027(US$ Mn)
7.4.1.Overview
7.4.2.Healthcare
7.4.3.Manufacturing
7.4.4.Automotive
7.4.5.Agriculture
7.4.6.Retail
7.4.7.Security
7.4.8.Human Resources
7.4.9.Marketing
7.4.10.Law
7.4.11.Fintech
7.4.12.Others

8.Asia Pacific
8.1.Asia Pacific Deep Learning Market, by Country, 2015-2027(US$ Mn)
8.1.1.China
8.1.2.Japan
8.1.3.South Korea
8.1.4.India
8.1.5.Australia
8.1.6.Rest of Asia Pacific
8.2.Asia Pacific Deep Learning Market, by Component, 2015-2027(US$ Mn)
8.2.1.Overview
8.2.2.Hardware
8.2.3.Software
8.2.4.Services
8.3.Asia Pacific Deep Learning Market, by Application, 2015-2027(US$ Mn)
8.3.1.Overview
8.3.2.Image Recognition
8.3.3.Signal Recognition
8.3.4.Data Mining
8.3.5.Others
8.4.Asia Pacific Deep Learning Market, by End-user, 2015-2027(US$ Mn)
8.4.1.Overview
8.4.2.Healthcare
8.4.3.Manufacturing
8.4.4.Automotive
8.4.5.Agriculture
8.4.6.Retail
8.4.7.Security
8.4.8.Human Resources
8.4.9.Marketing
8.4.10.Law
8.4.11.Fintech
8.4.12.Others

9.Latin America
9.1.Latin America Deep Learning Market, by Country, 2015-2027(US$ Mn)
9.1.1.Brazil
9.1.2.Mexico
9.1.3.Argentina
9.1.4.Rest of Latin America
9.2.Latin America Deep Learning Market, by Component, 2015-2027(US$ Mn)
9.2.1.Overview
9.2.2.Hardware
9.2.3.Software
9.2.4.Services
9.3.Latin America Deep Learning Market, by Application, 2015-2027(US$ Mn)
9.3.1.Overview
9.3.2.Image Recognition
9.3.3.Signal Recognition
9.3.4.Data Mining
9.3.5.Others
9.4.Latin America Deep Learning Market, by End-user, 2015-2027(US$ Mn)
9.4.1.Overview
9.4.2.Healthcare
9.4.3.Manufacturing
9.4.4.Automotive
9.4.5.Agriculture
9.4.6.Retail
9.4.7.Security
9.4.8.Human Resources
9.4.9.Marketing
9.4.10.Law
9.4.11.Fintech
9.4.12.Others

10.Middle East
10.1.Middle East Deep Learning Market, by Country, 2015-2027(US$ Mn)
10.1.1.UAE
10.1.2.KSA
10.1.3.Israel
10.1.4.Rest of Middle East
10.2.Middle East Deep Learning Market, by Component, 2015-2027(US$ Mn)
10.2.1.Overview
10.2.2.Hardware
10.2.3.Software
10.2.4.Services
10.3.Middle East Deep Learning Market, by Application, 2015-2027(US$ Mn)
10.3.1.Overview
10.3.2.Image Recognition
10.3.3.Signal Recognition
10.3.4.Data Mining
10.3.5.Others
10.4.Middle East Deep Learning Market, by End-user, 2015-2027(US$ Mn)
10.4.1.Overview
10.4.2.Healthcare
10.4.3.Manufacturing
10.4.4.Automotive
10.4.5.Agriculture
10.4.6.Retail
10.4.7.Security
10.4.8.Human Resources
10.4.9.Marketing
10.4.10.Law
10.4.11.Fintech
10.4.12.Others

11.Africa
11.1.Africa Deep Learning Market, by Country, 2015-2027(US$ Mn)
11.1.1.South Africa
11.1.2.Egypt
11.1.3.Nigeria
11.1.4.Rest of Africa
11.2.Latin America Deep Learning Market, by Component, 2015-2027(US$ Mn)
11.2.1.Overview
11.2.2.Hardware
11.2.3.Software
11.2.4.Services
11.3.Latin America Deep Learning Market, by Application, 2015-2027(US$ Mn)
11.3.1.Overview
11.3.2.Image Recognition
11.3.3.Signal Recognition
11.3.4.Data Mining
11.3.5.Others
11.4.Latin America Deep Learning Market, by End-user, 2015-2027(US$ Mn)
11.4.1.Overview
11.4.2.Healthcare
11.4.3.Manufacturing
11.4.4.Automotive
11.4.5.Agriculture
11.4.6.Retail
11.4.7.Security
11.4.8.Human Resources
11.4.9.Marketing
11.4.10.Law
11.4.11.Fintech
11.4.12.Others

12.Global
12.1.Global Deep Learning Market, by Component, 2015-2027(US$ Mn)
12.1.1.Overview
12.1.2.Hardware
12.1.3.Software
12.1.4.Services
12.2.Global Deep Learning Market, by Application, 2015-2027(US$ Mn)
12.2.1.Overview
12.2.2.Image Recognition
12.2.3.Signal Recognition
12.2.4.Data Mining
12.2.5.Others
12.3.Global Deep Learning Market, by End-user, 2015-2027(US$ Mn)
12.3.1.Overview
12.3.2.Healthcare
12.3.3.Manufacturing
12.3.4.Automotive
12.3.5.Agriculture
12.3.6.Retail
12.3.7.Security
12.3.8.Human Resources
12.3.9.Marketing
12.3.10.Law
12.3.11.Fintech
12.3.12.Others

13.Company Profiles
13.1.Amazon Web Services (AWS)
13.2.Google
13.3.IBM
13.4.Intel
13.5.Micron Technology
13.6.Microsoft
13.7.Nvidia
13.8.Qualcomm
13.9.Samsung Electronics
13.10.Sensory Inc.
13.11.Skymind
13.12.Xilinx

List of Figures

FIG. 1Global Deep Learning Market: Research Methodology
FIG. 2Market Size Estimation – Top Down & Bottom up Approach
FIG. 3Global Deep Learning Market Segmentation
FIG. 4Global Deep Learning Market, by Component, 2019(US$ Mn)
FIG. 5Global Deep Learning Market, by Application, 2019(US$ Mn)
FIG. 6Global Deep Learning Market, by End-user, 2019(US$ Mn)
FIG. 7Global Deep Learning Market, by Geography, 2019(US$ Mn)
FIG. 8Attractive Investment Proposition, by Geography, 2019
FIG. 9Global Market Positioning of Key Deep Learning Market Companies, 2019
FIG. 10Global Deep Learning Market Value Contribution, By Application, 2020 & 2027 (Value %)
FIG. 11North AmericaDeep Learning Market, 2015-2027(US$ Mn)
FIG. 12EuropeDeep Learning Market, 2015-2027(US$ Mn)
FIG. 13Asia PacificDeep Learning Market, 2015-2027(US$ Mn)
FIG. 14Middle EastDeep Learning Market, 2015-2027 (US$ Mn)
FIG. 15AfricaDeep Learning Market, 2015-2027 (US$ Mn)
FIG. 16U.S. Deep Learning Market, 2015-2027(US$ Mn)
FIG. 17CanadaDeep Learning Market, 2015-2027(US$ Mn)
FIG. 18U.K. Deep Learning Market, 2015-2027(US$ Mn)
FIG. 19Germany Deep Learning Market, 2015-2027(US$ Mn)
FIG. 20FranceDeep Learning Market, 2015-2027(US$ Mn)
FIG. 21Italy Deep Learning Market, 2015-2027(US$ Mn)
FIG. 22Russia Deep Learning Market, 2015-2027(US$ Mn)
FIG. 23Spain Deep Learning Market, 2015-2027(US$ Mn)
FIG. 24Rest of Europe Deep Learning Market, 2015-2027(US$ Mn)
FIG. 25China Deep Learning Market, 2015-2027(US$ Mn)
FIG. 26Japan Deep Learning Market, 2015-2027(US$ Mn)
FIG. 27South Korea Deep Learning Market, 2015-2027(US$ Mn)
FIG. 28India Deep Learning Market, 2015-2027(US$ Mn)
FIG. 29Australia Deep Learning Market, 2015-2027(US$ Mn)
FIG. 30Rest of Asia Pacific Deep Learning Market, 2015-2027(US$ Mn)
FIG. 31Brazil Deep Learning Market, 2015-2027(US$ Mn)
FIG. 32Mexico Deep Learning Market, 2015-2027(US$ Mn)
FIG. 33Argentina Deep Learning Market, 2015-2027(US$ Mn)
FIG. 34Rest of Latin America Deep Learning Market, 2015-2027(US$ Mn)
FIG. 35UAE Deep Learning Market, 2015-2027(US$ Mn)
FIG. 36KSADeep Learning Market, 2015-2027(US$ Mn)
FIG. 37Israel Deep Learning Market, 2015-2027(US$ Mn)
FIG. 38Rest of Middle East Deep Learning Market, 2015-2027(US$ Mn)
FIG. 39South Africa Deep Learning Market, 2015-2027(US$ Mn)
FIG. 40Egypt Deep Learning Market, 2015-2027(US$ Mn)
FIG. 41Nigeria Deep Learning Market, 2015-2027(US$ Mn)
FIG. 42Rest of Africa Deep Learning Market, 2015-2027(US$ Mn)

List of Tables

TABLE 1Market Snapshot: Global Deep Learning Market
TABLE 2Global Deep Learning Market, by Component, 2015-2027 (US$ Mn)
TABLE 3Global Deep Learning Market, by Application, 2015-2027 (US$ Mn)
TABLE 4Global Deep Learning Market, by End-user, 2015-2027 (US$ Mn)
TABLE 5Global Deep Learning Market, by Geography, 2015-2027 (US$ Mn)
TABLE 6North America Deep Learning Market, by Component, 2015-2027 (US$ Mn)
TABLE 7North America Deep Learning Market, by Application, 2015-2027 (US$ Mn)
TABLE 8North America Deep Learning Market, by End-user, 2015-2027 (US$ Mn)
TABLE 9North America Deep Learning Market, by Country, 2015-2027 (US$ Mn)
TABLE 10Europe Deep Learning Market, by Component, 2015-2027 (US$ Mn)
TABLE 11Europe Deep Learning Market, by Application, 2015-2027 (US$ Mn)
TABLE 12Europe Deep Learning Market, by End-user, 2015-2027 (US$ Mn)
TABLE 13Europe Deep Learning Market, by Country/Region, 2015-2027 (US$ Mn)
TABLE 14Asia Pacific Deep Learning Market, by Component, 2015-2027 (US$ Mn)
TABLE 15Europe Deep Learning Market, by Application, 2015-2027 (US$ Mn)
TABLE 16Europe Deep Learning Market, by End-user, 2015-2027 (US$ Mn)
TABLE 17Asia Pacific Deep Learning Market, by Country/Region, 2015-2027 (US$ Mn)
TABLE 18Latin America Deep Learning Market, by Component, 2015-2027 (US$ Mn)
TABLE 19Latin America Deep Learning Market, by Application, 2015-2027 (US$ Mn)
TABLE 20Latin America Deep Learning Market, by End-user, 2015-2027 (US$ Mn)
TABLE 21Latin America Deep Learning Market, by Country/Region, 2015-2027 (US$ Mn)
TABLE 22Middle East Deep Learning Market, by Component, 2015-2027 (US$ Mn)
TABLE 23Middle East Deep Learning Market, by Application, 2015-2027 (US$ Mn)
TABLE 24Middle East Deep Learning Market, by End-user, 2015-2027 (US$ Mn)
TABLE 25Middle East Deep Learning Market, by Country/Region, 2015-2027 (US$ Mn)
TABLE 26Africa Deep Learning Market, by Component, 2015-2027 (US$ Mn)
TABLE 27Africa Deep Learning Market, by Application, 2015-2027 (US$ Mn)
TABLE 28Africa Deep Learning Market, by End-user, 2015-2027 (US$ Mn)
TABLE 29Africa Deep Learning Market, by Country/Region, 2015-2027 (US$ Mn)

Frequently asked questions:

What is the current size of the global Deep Learning market?

Deep learning market is expected to grow at a CAGR of 34.5% from 2021 to 2027, from US$ 2.7 billion in 2020 to US$ 21.1 billion in 2027.

What are the major opportunities in Deep Learning industry?

The availability of insufficient structured data is one of the market’s significant potentials for increasing demand for deep learning solutions.

What is major growth driving factor for Deep Learning industry?

Increased use of cloud-based technologies, improved processing power, and lower hardware prices are some of the market’s driving forces.

Which region is expected to have the largest share of the Deep Learning market?

In the global deep learning industry, North America accounts the dominating position.

Which application will grow with highest CAGR in the Deep Learning market?

Deep learning is dominated by image recognition application.

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