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After 60 years of false starts, the integration of artificial intelligence (AI) with probability and statistics has led to a marriage of machine learning, control theory, and neuroscience that is yielding practical benefits. This shared theoretical foundation, combined with the exponential growth of processing power and the unprecedented growth in the amount of data available to analyze, has made AI systems attractive for businesses to adopt.

AI technologies are already being used in a number of different industries including online advertising services, automotive, agriculture, consumer finance, data storage, education, investment, healthcare, law, manufacturing, media, medical diagnostics, oil and gas, philanthropies, and retail. Systems modeled on the human brain such as deep learning are being applied to tasks as varied as question-answering medical diagnostic systems, credit scoring, program trading, fraud detection, product recommendations, image classification, speech recognition, language translation, and self-driving vehicles. Tractica forecasts that the market for AI systems for enterprise applications will increase from $202.5 million in 2015 to $11.1 billion by 2024, expanding at a compound annual growth rate (CAGR) of 56.1%.

This Tractica report examines the practical application of artificial intelligence within commercial enterprises. The technologies covered include cognitive computing, deep learning, machine learning, predictive APIs, natural language processing, image recognition, and speech recognition. The report presents 10-year forecasts for AI software, along with AI-driven services and hardware sales, for the period from 2015 through 2024. Forecasts are segmented by world region as well as by technology and industry application. The study also includes detailed profiles of more than 30 key industry players.

Table Of Contents

Artificial Intelligence for Enterprise Applications: Deep Learning, Predictive Computing, Image Recognition, Speech Recognition, and Other AI Technologies for Enterprise Markets - Global Market Analysis and Forecasts
SECTION 1 1
Executive Summary 1
1.1 Artificial Intelligence Has Come of Age .. 1
1.2 Market Drivers . 1
1.3 Market Barriers 2
1.4 Technologies 2
1.5 Market Forecast . 3
SECTION 2 4
Market Issues . 4
2.1 Is Artificial Intelligence a Threat to Humanity? 4
2.1.1 Summoning the Demon .. 4
2.1.2 The Ethical Dilemma 4
2.1.3 Can a Computer Have a Soul? .. 5
2.2 Why Are Cars that Drive Themselves Smart, but Planes that Fly Themselves Are Mindless? . 5
2.2.1 Smart Cars 5
2.2.2 Mindless Planes . 6
2.2.3 Familiarity Breeds Contempt 6
2.3 Key Industries .. 6
2.3.1 Ad Service Technology .. 6
2.3.2 Automotive . 7
2.3.3 Agriculture . 7
2.3.4 Consumer Finance 8
2.3.5 Data Storage 8
2.3.6 Education 8
2.3.7 Investment . 8
2.3.8 Healthcare . 9
2.3.9 Legal . 9
2.3.10 Manufacturing 9
2.3.11 Media . 9
2.3.12 Medical Diagnostics . 10
2.3.13 Oil and Gas .. 10
2.3.14 Philanthropies . 10
2.3.15 Retail 10
2.4 Market Barriers . 11
2.4.1 Societal Backlash 11
2.4.2 Over-hyped and Over-sold . 11
2.4.3 Maintenance and Recovery 11
2.4.4 The Resistance of Some Problems to Yield to Any Solution 11
SECTION 3 . 13
Technology Issues 13
3.1 Old Bottle, New Wine 13
3.1.1 Larger Data Sets . 13
3.1.2 Better Algorithms . 13
3.1.3 Cloud and Parallel Computing .. 13
3.2 Cognitive Computing . 14
3.3 Deep Learning .. 15
3.4 Machine Learning 16
3.5 Predictive APIs . 17
3.6 Natural Language Processing .. 18
3.7 Image Recognition . 18
3.8 Speech Recognition .. 19
3.9 A Word About Other Senses . 20
3.10 Technologies Not Considered in This Report .. 20
3.10.1 Avionics .. 20
3.10.2 Robotics and Motion Control 21
3.10.3 Governmental Applications .. 21
3.11 Future Directions . 21
3.11.1 The Next Wave .. 21
3.11.2 The Larger Impact . 22
SECTION 4 . 23
Key Industry Players 23
4.1 IBM . 23
4.2 Microsoft .. 24
4.3 Facebook . 24
4.4 Google .. 25
4.5 Baidu . 25
4.6 Rocket Fuel 26
4.7 Dstillery . 27
4.8 The Climate Corporation . 27
4.9 Prism Skylabs 28
4.10 Continental Corporation .. 28
4.11 Tesla Motors .. 29
4.12 Mobileye .. 29
4.13 Lending Club . 30
4.14 Kabbage .. 30
4.15 SwiftKey .. 31
4.16 Coursera .. 31
4.17 Knewton .. 32
4.18 Bloomberg .. 33
4.19 FinGenius 33
4.20 Zephyr Technology 34
4.21 Apple . 34
4.22 Intel . 35
4.23 NEC 35
4.24 Qualcomm .. 36
4.25 AlchemyAPI 36
4.26 DeepMind 37
4.27 Salesforce .. 37
4.28 DataMinr .. 38
4.29 Bina Technologies .. 38
4.30 Cognitive Scale 39
4.31 Declara . 39
SECTION 5 . 44
Market Forecasts 44
5.1 Forecast Methodology .. 44
5.2 Global AI Market Forecasts 44
5.3 Global Economic Growth Rates .. 45
5.4 AI Revenue by Industry 46
5.5 AI Revenue by Technology 47
5.6 AI-Driven Revenue Streams . 48
5.6.1 AI-Driven Services .. 48
5.6.1.1 AI-Driven Installation Services .. 49
5.6.1.2 AI-Driven Training 50
5.6.1.3 AI-Driven Customization Services .. 51
5.6.1.4 AI-Driven Application Integration Services . 52
5.6.1.5 AI-Driven Maintenance and Support Services.. 53
5.6.2 AI-Driven Hardware Revenue .. 54
5.6.2.1 AI-Driven Cloud Revenue 55
5.6.2.2 AI-Driven GPU Chip Revenue .. 56
5.6.2.3 AI-Driven Compute Revenue . 57
5.6.2.4 AI-Driven Network Product Revenue . 58
5.6.2.5 AI-Driven Storage Device Revenue 59
5.7 AI Revenues by Industry Segment 60
5.7.1 AI in the Ad Service Industry . 60
5.7.2 AI in the Automotive Industry 61
5.7.3 AI in the Agriculture Industry . 62
5.7.4 AI in the Consumer Finance Industry 63
5.7.5 AI in the Data Storage Industry 64
5.7.6 AI in the Education Industry .. 65
5.7.7 AI in the Investment Industry . 66
5.7.8 AI in the Healthcare Industry . 67
5.7.9 AI in the Legal Industry . 68
5.7.10 AI in the Manufacturing Industry 69
5.7.11 AI in the Media Industry . 70
5.7.12 AI in the Medical Diagnostics Industry 71
5.7.13 AI in the Oil and Gas Industry . 72
5.7.14 AI in the Philanthropies Industry 73
5.7.15 AI in the Retail Industry .. 74
5.8 AI Revenue Forecasts by Technology . 75
5.8.1 Cognitive Computing . 76
5.8.2 Machine Learning 77
5.8.3 Deep Learning .. 78
5.8.4 Predictive APIs . 79
5.8.5 Natural Language Processing .. 80
5.8.6 Image Recognition . 81
5.8.7 Speech Recognition .. 82
5.8.8 Other AI Technologies .. 83
SECTION 6 . 84
Conclusion and Recommendations .. 84
6.1 Key Findings .. 84
6.2 Recommendations for Potential Customers . 84
6.3 Recommendations for Technology Vendors . 84
6.4 Conclusion .. 85
SECTION 7 . 86
Company Directory .. 86
SECTION 8 . 89
Acronym and Abbreviation List 89
SECTION 9 . 90
Table of Contents .. 90
SECTION 10 .. 94
SECTION 11 .. 95
Scope of Study 95
Sources and Methodology .. 95
Notes . 96

TABLE OF CHARTS AND FIGURES
Chart 1.1 AI Revenue by Region, World Markets: 2015-2024 . 3
Chart 5.1 AI Revenue by Region, World Markets: 2015-2024 .. 44
Chart 5.2 Estimated Economic Growth Rates by Region, World Markets: 2015-2024 45
Chart 5.3 AI Revenue by Industry, World Markets: 2015 . 46
Chart 5.4 AI Revenue by Technology, World Markets: 2015 . 47
Chart 5.5 AI-Driven Services Revenue by Service Category, World Markets: 2015-2014 . 48
Chart 5.6 Installation Services Revenue Driven by AI by Region, World Markets: 2015-2024 49
Chart 5.7 AI-Driven Training Revenue by Region, World Markets: 2015-2024 50
Chart 5.8 AI-Driven Customization Services Revenue by Region, World Markets: 2015-2024 .. 51
Chart 5.9 AI-Driven Application Integration Services Revenue by Region, World Markets:
2015-2024 .. 52
Chart 5.10 AI-Driven Maintenance and Support Services Revenue by Region, World Markets:
2015-2024 .. 53
Chart 5.11 AI-Driven Hardware Revenue by Product Category, World Markets: 2015-2014 .. 54
Chart 5.12 AI-Driven Cloud Revenue by Region, World Markets: 2015-2024 . 55
Chart 5.13 AI-Driven GPU Chip Revenue by Region, World Markets: 2015-2024 56
Chart 5.14 AI-Driven Compute Revenue by Region, World Markets: 2015-2024 . 57
Chart 5.15 AI-Driven Network Product Revenue by Region, World Markets: 2015-2024 . 58
Chart 5.16 AI-Driven Storage Device Revenue by Region, World Markets: 2015-2024 59
Chart 5.17 AI Revenue in the Ad Service Industry by Region, World Markets: 2015-2024 . 60
Chart 5.18 AI Revenue in the Automotive Industry by Region, World Markets: 2015-2024 . 61
Chart 5.19 AI Revenue in the Agriculture Industry by Region, World Markets: 2015-2024 .. 62
Chart 5.20 AI Revenue in the Consumer Finance Industry by Region, World Markets: 2015-2024 63
Chart 5.21 AI Revenue in the Data Storage Industry by Region, World Markets: 2015-2024 . 64
Chart 5.22 AI in the Education Industry by Region, World Markets: 2015-2024 65
Chart 5.23 AI Revenue in the Investment Industry by Region, World Markets: 2015-2024 . 66
Chart 5.24 AI Revenue in the Healthcare Industry by Region, World Markets: 2015-2024 . 67
Chart 5.25 AI Revenue in the Legal Industry by Region, World Markets: 2015-2024 . 68
Chart 5.26 AI Revenue in the Manufacturing Industry by Region, World Markets: 2015-2024 .. 69
Chart 5.27 AI Revenue in the Media Industry by Region, World Markets: 2015-2024 70
Chart 5.28 AI Revenue in the Medical Diagnostics Industry by Region, World Markets: 2015-2024 . 71
Chart 5.29 AI Revenue in the Oil and Gas Industry by Region, World Markets: 2015-2024 72
Chart 5.30 AI Revenue in the Philanthropies Industry by Region, World Markets: 2015-2024 .. 73
Chart 5.31 AI Revenue in the Retail Industry by Region, World Markets: 2015-2024 . 74
Chart 5.32 Cognitive Computing Revenue by Region, World Markets: 2015-2024.. 76
Chart 5.33 Machine Learning Revenue by Region, World Markets: 2015-2024 77
Chart 5.34 Deep Learning Revenue by Region, World Markets: 2015-2024 .. 78
Chart 5.35 Predictive API Revenue by Region, World Markets: 2015-2024 79
Chart 5.36 Natural Language Processing Revenue by Region, World Markets: 2015-2024 .. 80
Chart 5.37 Image Recognition Revenue by Region, World Markets: 2015-2024 .. 81
Chart 5.38 Speech Recognition Revenue by Region, World Markets: 2015-2024 82
Chart 5.39 Other AI Revenue by Region, World Markets: 2015-2024 . 83
Chart 11.1 Tractica Research Methodology .. 96
Table 4.1 Additional Industry Participants 40

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