Smart Machines: Technologies and Global Markets

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May 15, 2014, 09:22 ET

NEW YORK, May 15, 2014 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Smart Machines: Technologies and Global Markets

http://www.reportlinker.com/p02118436/Smart-Machines-Technologies-and-Global-Markets.html

The global market for smart machines was valued at $5.3 billion in 2013. This market is expected to increase to over $6.2 billion in 2014 and nearly $15.3 billion in 2019, a compound annual growth rate (CAGR) of 19.7% for the five-year period 2014 to 2019.

This report provides:

- An overview of the global market for smart machines.
- The details which define these machines including the ability to adapt to and learn from changing conditions in real time, the capacity to operate autonomously (without direct human supervision), and having the capability to communicate with other machines.
- Analyses of global market trends, with data from 2013, estimates for 2014 and 2019, and projections of CAGRs through 2024.
- Potential markets for various types of smart machines such as virtual reality assistants, intelligent agents, expert systems, embedded software, autonomous robots, and purpose-built smart machines.
- Key enabling technologies for the next generation of smart machines, including voice recognition technology, micro- and nanosensors, radio frequency technologies, and neurocomputing.

STUDY BACKGROUND

The possibilities and challenges created by "smart" machines replacing humans have been a staple of science fiction for nearly 150 years, beginning with Samuel Butler's novel Erewhon. Since then, the theme of smart machines has been developed in numerous books and films, most of which portray smart machines either as mankind's helpers (e.g., Isaac Asimov's Robot books), its equal partners (Star Trek: The Next Generation's Lt. Commander Data) or its implacable enemies (The Terminator's Skynet).
As a result, it is difficult not to feel a sense of déjà vu at the recent Gartner Research report, "Surviving the Rise of 'Smart Machines', the Loss of 'Dream Jobs' and '90% Unemployment' ", published in late 2013. The report's authors warn that by 2020, labor reductions caused by smart machines could cause social unrest in some advanced economies (i.e., smart machines as the enemy). Smart machines may also help to retrain workers and help them to acquire the skills needed for new jobs (smart machines as helpers), but in the end, smart machines should be recognized as part of the workforce (smart machines as partners).
Some critics have downplayed the Gartner report's conclusions as overly pessimistic or at least premature, but there is no doubt the number of smart machines and their role in the modern economy and society are expanding rapidly. Not only that, the rate of progress in smart machines is set to increase dramatically thanks to a combination of Moore's law and the melding of various enabling technologies, e.g., machine learning, voice recognition and nanotechnology.[1]

STUDY GOALS AND OBJECTIVES

Amid the debate about the benefits and risks of smart machines, or the effects they might have on society or the economy, the goal of this report is more concrete. Its goal is both to provide the reader with an understanding of the technologies that will influence the future size and structure of the market for smart machines and related technologies. Specific objectives include:
Identifying smart machine products and related technologies with the greatest commercial potential over the next ten years (2013 to 2024).
Analyzing the key drivers and constraints that will shape the market for these products and technologies over the next ten years.
Estimating the current and future demand for smart machine products and enabling technologies.
Ascertaining which companies are best positioned to meet this demand, because of proprietary technologies, strategic alliances or other advantages.

INTENDED AUDIENCE

This report is intended especially for executives, entrepreneurs, investors, venture capitalists, and other readers with a need to know where the market for smart machines and related technologies is headed and where the greatest potential for growth exists in the next ten years.
Although the report is organized around specific technologies, it is largely nontechnical in nature and coverage. That is, it is concerned less with theory and jargon than with what works; how much of the latter the market is likely to purchase, and at what price.
The report has not been written specifically for scientists and technologists. However, the report's findings concerning the market for their work, including the availability of government and corporate research funding for different technologies and applications, should interest them as well.

SCOPE AND FORMAT

The proposed report will identify and quantify the potential market for various types of smart machines, including:
Virtual reality assistants (e.g., Siri).
Intelligent agents (e.g., automated online assistants).
Expert systems (e.g., medical decision support systems, smart grid).
Embedded software (machine monitoring and control systems).
Autonomous robots (including self-driving vehicles).
Purpose-built smart machines (such as neural computers).
These technologies are generally at an early stage of development, so it will be necessary to consider the market at least as far out as 2024 to obtain meaningful results. A separate section of the report discusses the development and future sales of key enabling technologies for the next generation of smart machines, such as:
Voice recognition technology.

Micro- and nanosensors.
Radio frequency technologies.
Neurocomputing.
The study format includes the following major elements:
Executive summary.
Definitions.
Historical milestones.
Technologies and applications that have the greatest commercial potential through 2024.
Detailed market estimates and projections for each technology and application during the period 2013 to 2019.
General assessment of expected market trends in the longer term (2019 to 2024).
Companies, academic and government laboratories that are developing smart machines.
Patent analysis.

INFORMATION SOURCES AND METHODOLOGY

Projecting the market for emerging technologies such as smart machines, whose commercial potential has not yet been proven, is a challenging task. This may help to explain why many analysts focus on supply-side technology assessments.
However, BCC Research's objective in this report is to provide not just a technology assessment but also an initial commercial assessment of the potential commercial market for smart machines. To accomplish this objective, BCC Research used a multiphase approach to identify the technologies and applications with the greatest commercial potential and quantify the related markets.

In the first phase of the analysis, BCC Research identified a long list of smart machines and related technologies and applications, including those that are still under development. In the second phase, BCC Research eliminated those technologies and applications that appear to have little likelihood of making it into commercial use in the next five to 10 years, which was accomplished through a literature review and interviews with industry sources. The result of phase two was a short list of technologies and applications with the greatest commercial potential over the time period covered by this report.
The third phase focused on quantifying the potential market for each short-listed technology, by application, and identifying the main prerequisites for commercial success. Phase three actually had two phases: 1) development of near- to midterm (2013 to 2019) projections, and 2) development of longer-term (2019 to 2024) projections.

The development of such long-term projections is a departure from the usual BCC Research report format, necessitated by the long time frame for commercialization of many of the technologies analyzed in this report. Obviously, the projections for the out-years beyond 2019 are more tentative than the projections for 2014 to 2019.
The specific assumptions and approach BCC Research used to develop the projections (both near/midterm and long-term) for each technology and application are documented in detail under the various segments addressed. This way, readers can see how the market estimates were developed and, if they so desire, test the impact on the final numbers of changing the underlying assumptions.
CHAPTER 1 INTRODUCTION 2
STUDY BACKGROUND 2
STUDY GOALS AND OBJECTIVES 2
INTENDED AUDIENCE 3
SCOPE AND FORMAT 3
INFORMATION SOURCES AND METHODOLOGY 4
ANALYST'S CREDENTIALS 5
RELATED BCC RESEARCH REPORTS 5
BCC RESEARCH WEBSITE 5
DISCLAIMER 6
CHAPTER 2 EXECUTIVE SUMMARY 8
SUMMARY TABLE GLOBAL MARKET FOR SMART MACHINES, THROUGH 2024 ($
MILLIONS) 8
SUMMARY FIGURE GLOBAL SMART MACHINE MARKET, 2013-2024 ($ MILLIONS) 9
CHAPTER 3 OVERVIEW 11
DEFINITION, GENERAL DESCRIPTION AND PROPERTIES 11
HISTORY OF SMART MACHINES 11
TYPES OF SMART MACHINES AND THEIR APPLICATIONS 16

MARKET FOR SMART MACHINES 16
TABLE 1 GLOBAL MARKET FOR SMART MACHINES, THROUGH 2024 ($ MILLIONS) 17
CHAPTER 4 ENABLING TECHNOLOGIES FOR SMART MACHINES 19
MACHINE SPEECH TECHNOLOGY 19
SPEECH RECOGNITION 19
SPEECH SYNTHESIS 20
SENSORS 20
MICROSENSORS 21
NANOSENSORS 21
MACHINE VISION 22
ALGORITHMS 22
CALIBRATION 22
CAMERAS 22
RADIO FREQUENCY TECHNOLOGIES 22
RFID 23
GPS 23
WIRELESS NETWORKING 23
Digital Mobile Telephony 23
Vehicle-to-Vehicle Communications 24
Machine-to-Machine Communications 24

POWER SOURCES 24
PHOTOVOLTAICS 24
NUCLEAR POWER 24
MOLECULAR FUEL CELLS 25
OCEAN ENERGY 26
SELF-REPAIR 26
UNCONVENTIONAL COMPUTATION 26
CHAPTER 5 EXPERT SYSTEMS 29
DEFINITION, GENERAL DESCRIPTION AND PROPERTIES 29
TECHNOLOGIES 29
KNOWLEDGE-BASED EXPERT SYSTEMS 29
PROBABILISTIC EXPERT SYSTEMS 30

Bayesian Networks 30
HEURISTIC SYSTEMS 31
APPLICATIONS 31
AUTOMATIC FLIGHT CONTROL SYSTEMS 32
MEDICINE 32
Workflow Integration 33
FINANCIAL ANALYSIS 33
Expert Systems for Financial Analysis of Firms 34
Expert Systems for Analyzing the Causes of Successful or
Unsuccessful Business Development 34
Expert Systems for Market Analysis 34
Expert Systems for Acquiring Knowledge in a Subfield of Finance 34
GEOLOGY 34
CHEMISTRY 35
METEOROLOGY 36
OTHER APPLICATIONS 37
MARKETS 37
TABLE 2 GLOBAL MARKET FOR EXPERT SYSTEMS, THROUGH 2024 ($ MILLIONS) 38
CHAPTER 6 NEURAL COMPUTERS 40
DEFINITION, GENERAL DESCRIPTION AND PROPERTIES 40
BIOLOGICAL NEUROCOMPUTERS 40
ARTIFICIAL NEURAL NETWORKS 40

TECHNOLOGIES 41
GENERAL PRINCIPLES 41
PHYSICAL ANNS 42
Memristive Neural Networks 42
Other Developments 44
IBM Introduces Digital Neurosynaptic Core 44
Intel Reveals Neuromorphic Chip Design 44
Panasonic Develops Low Energy Consumption Circuit for Neural
Network Systems 45
Neurocomputer Programming Software Ecosystem 45
Memristors Boost Image Processing 46
SOFTWARE-BASED ANNS 46
APPLICATIONS 46
BANKING AND FINANCE 46
TABLE 3 REPORTED APPLICATIONS OF ANNS IN FINANCE AND ACCOUNTING 47
DEFENSE AND PUBLIC SAFETY 48
Defense 48
Public Safety 49
Law Enforcement 49

Fire Protection 49
Explosives Detection 50
Security/Access Control 50
MANUFACTURING INDUSTRY 50
TABLE 4 REPORTED APPLICATIONS OF ANNS IN THE MANUFACTURING INDUSTRY 50
MARKETING AND SALES 51
TABLE 5 REPORTED APPLICATIONS OF ANNS IN MARKETING AND SALES 52
Market Segmentation 52
Customer Behavior Analysis 53
Market Forecasting 54
STRATEGIC MANAGEMENT AND BUSINESS POLICY 54
TABLE 6 REPORTED APPLICATIONS OF ANNS IN STRATEGIC MANAGEMENT AND
BUSINESS POLICY 54
TELECOMMUNICATIONS 55
TABLE 7 REPORTED APPLICATIONS OF ANNS IN TELECOMMUNICATIONS 55
Equalizers 55
Network Design, Management, Routing and Control 55
Fault Management 56
Fraud Detection 56
HEALTH CARE 57
TABLE 8 REPORTED APPLICATIONS OF ANNS IN HEALTH CARE 57
Clinical Diagnosis 57

Image Analysis and Interpretation 58
Signal Analysis and Interpretation 58
Drug Development 58
Biochemical Analysis 59
MARKETS 59
TABLE 9 MARKET FOR NEURAL COMPUTING TECHNOLOGIES, 2013-2024 ($
MILLIONS) 59
PHYSICAL ANNS 60
TABLE 10 PROJECTED MARKET FOR MEMRISTOR NEUROMORPHIC CHIPS, THROUGH
2024 ($ MILLIONS) 60
SOFTWARE ANNS 60
TABLE 11 PROJECTED MARKET FOR SOFTWARE ANNS, THROUGH 2024 ($ MILLIONS) 61
CHAPTER 7 AUTONOMOUS ROBOTS 63
DEFINITION, GENERAL DESCRIPTION AND PROPERTIES 63
TECHNOLOGIES 63
AUTONOMOUS LEARNING 63
SELF-MAINTENANCE 64
Diagnostic Systems 64
Self-Repairing Materials and Systems 65
PROPRIOSENSING 66

SENSING THE ENVIRONMENT 66
TASK PERFORMANCE 67
INDOOR POSITION SENSING AND NAVIGATION 68
POSITION SENSING AND NAVIGATION 68
Surface (Terrestrial) Robots 69
Underwater Robots 69
Aerial Robots 70
ENERGY 71
INTEROPERABILITY 71
APPLICATIONS 72
AUTONOMOUS VEHICLES 72
Self-Driving Cars 72
Public Transit Vehicles 73
INDUSTRIAL ROBOTS 74
Baxter 75
No Programming Required 75
Ease of Integration 75
Adaptability/Flexibility 76
Safety 76
"Little Helper" 76
"YouBot" 77
MILITARY ROBOTS 78
PackBot 79
Legged Squad Support System 80
Self-Driving Vehicles 80
Micro Autonomous Systems 81
Autonomous Unmanned Aerial Vehicle 81

Undersea Warfare Vessels 82
Shipboard Autonomous Firefighting Robot 83
AGRICULTURE 83
Self-Steering Tractors 83
"Hortibot" 84
"Lettuce Bot" 84
Vitirover 84
Wall-Ye 85
Robotic Harvester 85
Soil Sterilizer 85
Prospero 85
CLEANING ROBOTS 85
MINING AND ENERGY PRODUCTION 86
Terrestrial Activities 86
Offshore/Undersea Activities 87
SCIENTIFIC RESEARCH 88
Space Exploration 88
Submarine Research 89
Laboratory Research 90
HEALTH CARE 91

LOGISTICS 91
MARKETS 92
TABLE 12 GLOBAL MARKET FOR AUTONOMOUS ROBOTS, THROUGH 2024 ($
MILLIONS) 92
FIGURE 1 GLOBAL MARKET FOR AUTONOMOUS ROBOTS, 2013-2024 ($ MILLIONS) 92
FIGURE 2 GLOBAL SALES OF AUTONOMOUS ROBOTS BY TYPE OF END USE,
2013-2024 ($ MILLIONS) 94
SELF-DRIVING VEHICLES 94
TABLE 13 MARKET FOR SELF-DRIVING VEHICLES, THROUGH 2024 ($ MILLIONS) 94
Passenger Cars 95
INDUSTRIAL ROBOTS 96
TABLE 14 MARKET FOR AUTONOMOUS INDUSTRIAL ROBOTS, THROUGH 2024 ($
MILLIONS) 96
FIGURE 3 MARKET FOR AUTONOMOUS INDUSTRIAL ROBOTS, 2013-2024 ($
MILLIONS) 96
MILITARY ROBOTS 97
TABLE 15 MARKET FOR AUTONOMOUS MILITARY ROBOTS, THROUGH 2024 ($
MILLIONS) 97
FIGURE 4 GLOBAL MARKET FOR AUTONOMOUS MILITARY ROBOTS, 2013–2024 ($
MILLIONS) 97
FIGURE 5 MARKET FOR AUTONOMOUS MILITARY ROBOTS AS A PERCENTAGE OF
TOTAL MILITARY ROBOT SALES, 2013-2024 (%) 98

Self-Driving Vehicles 99
Legged Squad Support System 99
UAVs 100
Undersea Warfare Robots 100
TABLE 16 MARKET FOR AUTONOMOUS UNDERSEA WARFARE ROBOTS, THROUGH
2024 ($ MILLIONS) 100
AGRICULTURAL ROBOTS 101
TABLE 17 MARKET FOR AUTONOMOUS AGRICULTURAL ROBOTS, THROUGH 2024
($ MILLIONS) 101
FIGURE 6 MARKET FOR AUTONOMOUS AGRICULTURAL ROBOTS, 2013–2024 ($
MILLIONS) 101
CLEANING ROBOTS 102
TABLE 18 MARKET FOR AUTONOMOUS CLEANING ROBOTS, THROUGH 2024 ($
MILLIONS) 103
FIGURE 7 MARKET FOR AUTONOMOUS CLEANING ROBOTS, 2013–2024 ($
MILLIONS) 103
MEDICAL ROBOTS 103
TABLE 19 MARKET FOR AUTONOMOUS ROBOTS IN HEALTH CARE APPLICATIONS,
THROUGH 2024 ($ MILLIONS) 104
FIGURE 8 MARKET FOR AUTONOMOUS ROBOT HEALTH CARE APPLICATIONS,
2013–2024 ($ MILLIONS) 104
Telepresence Robots 104
MINING AND ENERGY PRODUCTION 105

TABLE 20 MARKET FOR AUTONOMOUS ROBOTS IN MINING AND ENERGY
PRODUCTION, THROUGH 2024 ($ MILLIONS) 105
FIGURE 9 MARKET FOR AUTONOMOUS ROBOTS IN MINING AND ENERGY
PRODUCTION, 2013-2024 ($ MILLIONS) 105
Automated Mining Trucks 106
Energy Exploration and Production 106
SCIENTIFIC RESEARCH 107
TABLE 21 MARKET FOR AUTONOMOUS ROBOTS IN RESEARCH APPLICATIONS,
THROUGH 2024 ($ MILLIONS) 107
FIGURE 10 MARKET FOR AUTONOMOUS ROBOTS IN RESEARCH APPLICATIONS,
2013–2024 ($ MILLIONS) 107
Space Exploration 107
Undersea Research 108
CHAPTER 8 EMBEDDED SYSTEMS 110
DEFINITION, GENERAL DESCRIPTION, AND PROPERTIES 110
TECHNOLOGIES 110
MULTI-CORE PROCESSORS IN EMBEDDED SYSTEMS 111
EMBEDDED OPERATING SYSTEMS 111
EMBEDDED DIGITAL SECURITY 111
DEALING WITH UNCERTAINTY 112
APPLICATIONS 112
SMART GRID 112
MEDICAL DEVICES 114
Medical Implants 114
Monitoring Devices 114
Elder Care 115
MARKETS 116

TABLE 22 GLOBAL MARKET FOR SMART EMBEDDED SYSTEMS, THROUGH 2024 ($
MILLIONS) 117
CHAPTER 9 INTELLIGENT ASSISTANTS 119
DEFINITION, GENERAL DESCRIPTION AND PROPERTIES 119
TECHNOLOGIES 119
NATURAL LANGUAGE PROCESSING 119
PREDICTIVE INTELLIGENCE 120
APPLICATIONS 121
CONSUMER APPLICATIONS 121
ENTERPRISE APPLICATIONS 122
Customer-Facing Applications 122
Sector-Specific Applications 123
Internal-Facing Applications 123
MARKETS 124
TABLE 23 GLOBAL MARKET FOR INTELLIGENT ASSISTANTS, THROUGH 2024 ($
MILLIONS) 124
CHAPTER 10 APPENDIX A: COMPANIES, ACADEMIC AND GOVERNMENT
LABORATORIES DEVELOPING SMART MACHINES AND RELATED TECHNOLOGIES 126
ENABLING TECHNOLOGIES 126
BAOLAB MICROSYSTEMS, S.L. 126
BRISTOL ROBOTICS LABORATORY 126
CYCLONE POWER TECHNOLOGIES, INC. 127
INTERNATIONAL BUSINESS MACHINES 127
ROBOTIC TECHNOLOGY, INC. 127
ROBOTIC VISION TECHNOLOGIES 128
SYSTRON DONNER INERTIAL 128
EXPERT SYSTEMS 128
ENGENIUS LLC 128
EXSYS INC. 129
HONEYWELL AEROSPACE 129

ISABEL HEALTHCARE, INC. 130
LIFECOM, INC. 130
LOGICAL IMAGES, INC. 130
MASSACHUSETTS GENERAL HOSPITAL 131
ROCKWELL COLLINS 131
VANGUARD SOFTWARE CORP. 131
NEUROCOMPUTING 132
AB NONLINEAR SOLUTIONS OY 132
ALYUDA RESEARCH, LLC 132
AND CORP. 133
ANFIELD CAPITAL 133
APPLIED ANALYTIC SYSTEMS 133
BRAIN CORP. 134
CHURCHILL SYSTEMS INC. 135
CROSSBAR, INC. 135
HOLOGIC, INC. 135
HRL LABORATORIES LLC 136
INTELLIDYNAMICS 136
KNOWM TECHNOLOGY LLC 137
NEURODIMENSION INC. 137

NEURALWARE 138
PREDPOL, INC. 138
QUALCOMM INC. 139
REINCLOUD 139
SCHILLER AG 139
SIEMENS AG 140
WARD SYSTEMS GROUP, INC. 140
AUTONOMOUS ROBOTS 140
AUTONOMOUS TRACTOR CORP. 140
BAE SYSTEMS INC. 141
BLUEFIN ROBOTICS CORP. 141
BLUE RIVER TECHNOLOGY 141
BOSTON DYNAMICS 142
CATERPILLAR INC. 142
C & C TECHNOLOGIES 142
DORHOUT R&D LLC 143
INDUCT TECHNOLOGY 143
INTERNATIONAL SUBMARINE ENGINEERING LTD 143
INTOUCH HEALTH 144
IROBOT CORP. 144
KOMATSU LTD. 145
KONGSBERG MARITIME 145
KUKA AG 146
LOCKHEED MARTIN CORP. 146
NORTHRUP GRUMMAN CORP. 147
RETHINK ROBOTICS, INC. 147
ROBOTIC HARVESTING LLC 147
SAMSUNG TECHWIN 148
SCIENCE APPLICATIONS INTERNATIONAL CORPORATION 148
TELEDYNE GAVIA EHF 148
VISION ROBOTICS. 149
VITIROVER 149
WALL-YE 149
EMBEDDED SYSTEMS 150
COMVERGE, INC. 150

EMBER CORP. 150
GAINSPAN CORP. 151
MEDTRONIC 151
MMB NETWORKS, INC. 151
SENSIMED AG 152
INTELLIGENT ASSISTANTS 152
ANBOTO GROUP 152
ARTIFICIAL SOLUTIONS 153
ASTUTE SOLUTIONS 153
CODEBABY 153
CREATIVE VIRTUAL LTD. 154
EXPERTMAKER AB 154
INTELLIRESPONSE 154
NEXTIT 155
CHAPTER 11 APPENDIX B: PATENTS 157
PATENTS BY TYPE OF SMART MACHINE 157
FIGURE 11 U.S. SMART MACHINE PATENTS BY TYPE OF SMART MACHINE ISSUED
THROUGH MARCH 1, 2014 (%) 157
PATENT PORTFOLIOS 158
TABLE 24 LARGEST SMART MACHINE U.S. PATENT PORTFOLIOS (NUMBER OF
PATENTS ISSUED THROUGH MARCH 1, 2014) 158

LIST OF TABLES

SUMMARY TABLE GLOBAL MARKET FOR SMART MACHINES, THROUGH 2024 ($
MILLIONS) 8
TABLE 1 GLOBAL MARKET FOR SMART MACHINES, THROUGH 2024 ($ MILLIONS) 17
TABLE 2 GLOBAL MARKET FOR EXPERT SYSTEMS, THROUGH 2024 ($ MILLIONS) 38
TABLE 3 REPORTED APPLICATIONS OF ANNS IN FINANCE AND ACCOUNTING 47
TABLE 4 REPORTED APPLICATIONS OF ANNS IN THE MANUFACTURING INDUSTRY 50
TABLE 5 REPORTED APPLICATIONS OF ANNS IN MARKETING AND SALES 52
TABLE 6 REPORTED APPLICATIONS OF ANNS IN STRATEGIC MANAGEMENT AND
BUSINESS POLICY 54
TABLE 7 REPORTED APPLICATIONS OF ANNS IN TELECOMMUNICATIONS 55
TABLE 8 REPORTED APPLICATIONS OF ANNS IN HEALTH CARE 57
TABLE 9 MARKET FOR NEURAL COMPUTING TECHNOLOGIES, 2013-2024 ($ MILLIONS) 59
TABLE 10 PROJECTED MARKET FOR MEMRISTOR NEUROMORPHIC CHIPS, THROUGH
2024 ($ MILLIONS) 60
TABLE 11 PROJECTED MARKET FOR SOFTWARE ANNS, THROUGH 2024 ($ MILLIONS) 61
TABLE 12 GLOBAL MARKET FOR AUTONOMOUS ROBOTS, THROUGH 2024 ($
MILLIONS) 92
TABLE 13 MARKET FOR SELF-DRIVING VEHICLES, THROUGH 2024 ($ MILLIONS) 94
TABLE 14 MARKET FOR AUTONOMOUS INDUSTRIAL ROBOTS, THROUGH 2024 ($
MILLIONS) 96

TABLE 15 MARKET FOR AUTONOMOUS MILITARY ROBOTS, THROUGH 2024 ($
MILLIONS) 97
TABLE 16 MARKET FOR AUTONOMOUS UNDERSEA WARFARE ROBOTS, THROUGH
2024 ($ MILLIONS) 100
TABLE 17 MARKET FOR AUTONOMOUS AGRICULTURAL ROBOTS, THROUGH 2024 ($
MILLIONS) 101
TABLE 18 MARKET FOR AUTONOMOUS CLEANING ROBOTS, THROUGH 2024 ($
MILLIONS) 103
TABLE 19 MARKET FOR AUTONOMOUS ROBOTS IN HEALTH CARE APPLICATIONS,
THROUGH 2024 ($ MILLIONS) 104
TABLE 20 MARKET FOR AUTONOMOUS ROBOTS IN MINING AND ENERGY
PRODUCTION, THROUGH 2024 ($ MILLIONS) 105
TABLE 21 MARKET FOR AUTONOMOUS ROBOTS IN RESEARCH APPLICATIONS,
THROUGH 2024 ($ MILLIONS) 107
TABLE 22 GLOBAL MARKET FOR SMART EMBEDDED SYSTEMS, THROUGH 2024 ($
MILLIONS) 117
TABLE 23 GLOBAL MARKET FOR INTELLIGENT ASSISTANTS, THROUGH 2024 ($
MILLIONS) 124
TABLE 24 LARGEST SMART MACHINE U.S. PATENT PORTFOLIOS (NUMBER OF
PATENTS ISSUED THROUGH MARCH 1, 2014) 158

LIST OF FIGURES

SUMMARY FIGURE GLOBAL SMART MACHINE MARKET, 2013-2024 ($ MILLIONS) 9
FIGURE 1 GLOBAL MARKET FOR AUTONOMOUS ROBOTS, 2013-2024 ($ MILLIONS) 92
FIGURE 2 GLOBAL SALES OF AUTONOMOUS ROBOTS BY TYPE OF END USE,
2013-2024 ($ MILLIONS) 94
FIGURE 3 MARKET FOR AUTONOMOUS INDUSTRIAL ROBOTS, 2013-2024 ($
MILLIONS) 96
FIGURE 4 GLOBAL MARKET FOR AUTONOMOUS MILITARY ROBOTS, 2013–2024 ($
MILLIONS) 97
FIGURE 5 MARKET FOR AUTONOMOUS MILITARY ROBOTS AS A PERCENTAGE OF
TOTAL MILITARY ROBOT SALES, 2013-2024 (%) 98
FIGURE 6 MARKET FOR AUTONOMOUS AGRICULTURAL ROBOTS, 2013–2024 ($
MILLIONS) 101
FIGURE 7 MARKET FOR AUTONOMOUS CLEANING ROBOTS, 2013–2024 ($ MILLIONS) 103
FIGURE 8 MARKET FOR AUTONOMOUS ROBOT HEALTH CARE APPLICATIONS,
2013–2024 ($ MILLIONS) 104
FIGURE 9 MARKET FOR AUTONOMOUS ROBOTS IN MINING AND ENERGY
PRODUCTION, 2013-2024 ($ MILLIONS) 105
FIGURE 10 MARKET FOR AUTONOMOUS ROBOTS IN RESEARCH APPLICATIONS,
2013–2024 ($ MILLIONS) 107
FIGURE 11 U.S. SMART MACHINE PATENTS BY TYPE OF SMART MACHINE ISSUED
THROUGH MARCH 1, 2014 (%) 157