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  3. > Deep Learning for Enterprise Applications: Advertising Technology, Financial Services, Media, Manufacturing, Oil & Gas, Retail, and Other Enterprise Markets for Deep Learning Software and Systems

Deep learning has emerged as one of the most significant enabling technologies in the world of artificial intelligence (AI). As a branch of the broader discipline of machine learning, deep learning models a biological system by creating a simulated software network of mathematical neurons. The function of the simulated neural net corresponds, very roughly, to the function of neurons in human and other animal brains, and the model builds a system that is capable of adapting itself to new data. While the concept for biologically-inspired computer programs dates back to at least 1950, and technology development in the machine learning space has experienced several ups and downs during the ensuing decades, rapid advances in the field are now being spurred by three key market trends: (1) vast increases in the amount of data, (2) significant improvements in machine learning algorithms, and (3) exponential advances in hardware speed.

Deep learning is already proving its value in sectors like advertising services, investments, and media. Thanks to the growth of areas like electronic medical records (EMRs), wearable devices, and the Internet of Things (IoT), deep learning will have an increasingly greater impact on sectors such as medicine, manufacturing, consumer finance, networking and data storage, and oil and gas. It also has the potential to impact more traditional industries, and some that have not seen much change in decades, such as automotive, agriculture, education, law, philanthropies, and retail. Tractica forecasts that annual software revenue for enterprise applications of deep learning will increase from $109 million in 2015 to $10.4 billion in 2024. The total market driven by deep learning software investments, including support services and IT hardware investments in addition to direct software spending, will surpass $100 billion in annual revenue during the same timeframe.

This Tractica report examines the market for deep learning across 15 industry sectors, including 10-year revenue forecasts for the period from 2015 through 2024. The report forecasts software revenue, services revenue, and hardware sales, and provides segmentation by delivery method (cloud, device, and data center) as well as world region. The report also includes profiles of 20 key industry players in the global deep learning market.

Table Of Contents

Deep Learning for Enterprise Applications: Advertising Technology, Financial Services, Media, Manufacturing, Oil and Gas, Retail, and Other Enterprise Markets for Deep Learning Software and Systems
SECTION 1 1
Executive Summary 1
1.1 Introduction 1
1.2 Why Deep Learning Technology Is Important . 2
1.3 Market Forecast . 3
1.3.1 Total Revenue for Deep Learning Software, Services, and Hardware .. 4
1.3.2 Deep Learning Software Revenue 4
SECTION 2 6
Market Issues . 6
2.1 Market Drivers . 6
2.1.1 Digitization of Society .. 6
2.1.2 Significant Improvement in Machine Learning Algorithms 7
2.1.3 Exponential Advances in Hardware Speed .. 7
2.1.4 Why Is This Happening Now? . 8
2.2 Market Barriers 9
2.2.1 Controversy .. 9
2.2.2 Unrealistic Expectations .. 10
2.2.3 The Infancy of Neuroscience . 11
2.2.4 Lack of Experienced Talent 11
2.2.5 Limitations of Software . 12
2.2.6 Restrictions of Social Conventions . 12
2.2.7 Need for Accurate Data 13
2.2.8 Market Barrier Conclusions 13
2.3 Industry Overview 13
2.3.1 Industries Where Deep Learning Is Already a Competitive Advantage .. 13
2.3.1.1 Ad Services . 14
2.3.1.2 Institutional Investment . 14
2.3.1.3 Media . 14
2.3.2 Industries Where Deep Learning Is Likely to Become a Competitive Advantage .. 14
2.3.2.1 Medical Diagnostics 14
2.3.2.2 Consumer Finance . 15
2.3.2.3 Networking and Data Storage .. 15
2.3.2.4 Oil and Gas . 15
2.3.3 Industries Where Deep Learning Could Disrupt the Status Quo 15
2.3.3.1 Automotive .. 15
2.3.3.2 Agriculture 16
2.3.3.3 Higher Education . 16
2.3.3.4 Healthcare .. 16
2.3.3.5 Legal .. 17
2.3.3.6 Manufacturing 17
2.3.3.7 Philanthropies 17
2.3.3.8 Retail .. 17
2.3.3.9 Industry Overview Conclusion .. 17
2.4 Business Models . 17
SECTION 3 . 20
Technology Issues 20
3.1 The Difference between Machine Learning and Deep Learning 20
3.1.1 History of Machine Learning .. 20
3.1.2 History of Deep Learning . 20
3.1.3 Structured Data versus Unstructured Data 21
3.1.4 Supervised versus Unsupervised Learning 21
3.1.5 Known Knowledge versus Unknown Knowledge 22
3.2 An Example of Machine Learning .. 23
3.3 An Example of Deep Learning . 24
3.4 How Deep Learning Will Change Technology . 25
3.4.1 A New Programming Paradigm 25
3.4.2 Products that Design Themselves.. 25
3.4.3 Conclusion .. 25
SECTION 4 . 26
Key Industry Players 26
4.1 Apple . 26
4.2 Baidu . 26
4.3 Clarifai .. 27
4.4 Declara . 27
4.5 DigitalGenius . 28
4.6 Ersatz Labs 28
4.7 Facebook . 29
4.8 Google .. 29
4.9 H2O.ai .. 30
4.10 IBM . 30
4.11 Intel . 31
4.12 MetaMind . 32
4.13 Microsoft .. 32
4.14 Mobileye .. 33
4.15 Nervana Systems 33
4.16 NVIDIA . 34
4.17 Qualcomm .. 34
4.18 Sentient Technologies .. 35
4.19 SignalSense .. 35
4.20 Skymind 36
SECTION 5 . 39
Market Forecasts 39
5.1 Forecast Methodology .. 39
5.2 Global Economic Growth Rates .. 39
5.3 Global Deep Learning Market Forecasts 40
5.3.1 Total Revenue for Deep Learning Software, Services, and Hardware 40
5.3.2 Deep Learning Software Revenue . 40
5.4 Deep Learning Software Revenue by Delivery Method .. 42
5.5 Deep Learning Software Revenue by Industry 43
5.6.1 Deep Learning in the Ad Service Industry .. 44
5.6.2 Deep Learning in the Automotive Industry . 45
5.6.3 Deep Learning in the Agriculture Industry .. 46
5.6.4 Deep Learning in the Consumer Finance Industry . 47
5.6.5 Deep Learning in the Data Storage and Networking Industry .. 48
5.6.6 Deep Learning in the Education Industry 49
5.6.7 Deep Learning in the Investment Industry . 50
5.6.8 Deep Learning in the Healthcare Industry .. 51
5.6.9 Deep Learning in the Legal Industry . 52
5.6.10 Deep Learning in the Manufacturing Industry . 53
5.6.11 Deep Learning in the Media Industry .. 54
5.6.12 Deep Learning in the Medical Diagnostics Industry . 55
5.6.13 Deep Learning in the Oil and Gas Industry .. 56
5.6.14 Deep Learning in the Philanthropies Industry . 57
5.6.15 Deep Learning in the Retail Industry 58
5.7 Deep Learning-Driven Services .. 59
5.7.1 Deep Learning-Driven Installation Services .. 60
5.7.2 Deep Learning-Driven Training Services 61
5.7.3 Deep Learning-Driven Customization Services .. 62
5.7.4 Deep Learning-Driven Application Integration Services . 63
5.7.5 Deep Learning-Driven Maintenance and Support Services .. 64
5.8 Deep Learning-Driven Hardware Revenue 65
5.8.1 Deep Learning-Driven Cloud Revenue 66
5.8.2 Deep Learning-Driven GPU Chip Revenue .. 67
5.8.3 Deep Learning-Driven Compute Revenue . 68
5.8.4 Deep Learning-Driven Network Product Revenue . 69
5.8.5 Deep Learning-Driven Storage Device Revenue 70
5.9 Conclusions and Recommendations 71
SECTION 6 . 72
Company Directory .. 72
SECTION 7 . 76
Acronym and Abbreviation List 76
SECTION 8 . 77
Table of Contents .. 77
SECTION 9 . 80
Table of Charts and Figures 80
SECTION 10 .. 82
Scope of Study 82
Sources and Methodology .. 82
Notes . 83

TABLE OF CHARTS AND FIGURES
Chart 1.1 Deep Learning Total Revenue by Segment, World Markets: 2015-2024 . 4
Chart 1.2 Deep Learning Software Revenue by Region, World Markets: 2015-2024 . 5
Chart 5.1 Estimated Economic Growth Rates by Region, World Markets: 2015-2024 39
Chart 5.2 Deep Learning Total Revenue by Segment, World Markets: 2015-2024 .. 40
Chart 5.3 Deep Learning Software Revenue by Region, World Markets: 2015-2024 .. 41
Chart 5.4 Deep Learning Software Revenue by Delivery Method, World Markets: 2015-2024 .. 42
Chart 5.5 Deep Learning Software Revenue by Industry, World Markets: 2015-2024 . 43
Chart 5.6 Deep Learning Software Revenue in the Ad Service Industry by Region, World Markets:
2015-2024 .. 44
Chart 5.7 Deep Learning Software Revenue in the Automotive Industry by Region, World Markets:
2015-2024 45
Chart 5.8 Deep Learning Software Revenue in the Agriculture Industry by Region, World Markets:
2015-2024 .. 46
Chart 5.9 Deep Learning Software Revenue in the Consumer Finance Industry by Region,
World Markets: 2015-2024 . 47
Chart 5.10 Deep Learning Software Revenue in the Data Storage and Networking Industry by
Region, World Markets: 2015-2024 .. 48
Chart 5.11 Deep Learning Software Revenue in the Education Industry by Region, World Markets:
2015-2024 .. 49
Chart 5.12 Deep Learning Software Revenue in the Investment Industry by Region, World
Markets: 2015-2024 .. 50
Chart 5.13 Deep Learning Software Revenue in the Healthcare Industry by Region, World Markets:
2015-2024 .. 51
Chart 5.14 Deep Learning Software Revenue in the Legal Industry by Region, World Markets:
2015-2024 .. 52
Chart 5.15 Deep Learning Software Revenue in the Manufacturing Industry by Region, World
Markets: 2015-2024 .. 53
Chart 5.16 Deep Learning Software Revenue in the Media Industry by Region, World Markets:
2015-2024 .. 54
Chart 5.17 Deep Learning Software Revenue in the Medical Diagnostics Industry by Region,
World Markets: 2015-2024 55
Chart 5.18 Deep Learning Software Revenue in the Oil and Gas Industry by Region, World
Markets: 2015-2024 .. 56
Chart 5.19 Deep Learning Software Revenue in the Philanthropies Industry by Region, World
Markets: 2015-2024 .. 57
Chart 5.20 Deep Learning Software Revenue in the Retail Industry by Region, World Markets:
2015-2024 .. 58
Chart 5.21 Deep Learning-Driven Services Revenue by Service Category, World Markets:
2015-2024 .. 59
Chart 5.22 Deep Learning-Driven Installation Services Revenue by Region, World Markets:
2015-2024 .. 60
Chart 5.23 Deep Learning-Driven Training Revenue by Region, World Markets: 2015-2024 . 61
Chart 5.24 Deep Learning-Driven Customization Services Revenue by Region, World Markets:
2015-2024 .. 62
Chart 5.25 Deep Learning-Driven Application Integration Services Revenue by Region, World
Markets: 2015-2024 .. 63
Chart 5.26 Deep Learning-Driven Maintenance and Support Services Revenue by Region,
World Markets: 2015-2024 . 64
Chart 5.27 Deep Learning-Driven Hardware Revenue by Product Category, World Markets:
2015-2024 .. 65
Chart 5.28 Deep Learning-Driven Cloud Revenue by Region, World Markets: 2015-2024 . 66
Chart 5.29 Deep Learning-Driven GPU Chip Revenue by Region, World Markets: 2015-2024 67
Chart 5.30 Deep Learning-Driven Compute Revenue by Region, World Markets: 2015-2024 .. 68
Chart 5.31 Deep Learning-Driven Network Product Revenue by Region, World Markets: 2015-2024 .. 69
Chart 5.32 Deep Learning-Driven Storage Device Revenue by Region, World Markets: 2015-2024 . 70
Chart 11.1 Tractica Research Methodology .. 83
Table 4.1 Additional Industry Participants 36
Figure 3.1 Machine Learning Algorithm Example . 23
Figure 3.2 Deep Learning Algorithm Example. 24

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