M2M Fraud and Revenue Leakage Market and Forecast 2013 - 2018

M2M Fraud and Revenue Leakage Market and Forecast 2013 - 2018

$1,995.00

Publication ID
MIC1013012
Publication Date
October 23, 2013
Pages
156
Regions Covered
Publisher
The forecast for Machine-to-Machine (M2M) is set to nearly triple through 2018. One of the great allures of M2M is the many and varied use cases including everything from smart meters, interactive kiosks, surveillance cameras, and more. The business drivers include everything from proactive maintenance, production assurance, theft reduction, productivity improvement, etc.
It important to note that the steep growth curve is yet to begin, as M2M is expected to take off significantly with the so-called Internet of Things (IoT). M2M has become much more complex and “smart” due to major advances in semiconductor and software with the potential to be embedded in virtually any asset or object requiring monitoring and control throughout the enterprise. By way of example, industry giant Cisco is aggressively forecasting about 50 billion devices will be connected by 2020, after coming out with an earlier analysis in January that claimed 8.7 billion connected devices in 2012.
 
With this dramatic growth expectation, there is a critical need to focus on potential lost revenue and fraud that may occur within various portions of the M2M ecosystem. This research assesses risk management issues in M2M, key companies, solutions, and market positioning. The report provides a market driver analysis along with anticipated revenues through 2020.
 
Target Audience: 
 
  • Mobile network operators
  • Managed services providers
  • Systems integration companies
  • Application developers and ASP
  • Network integration companies
  • Network infrastructure providers
  • Enterprise companies of all types
  • Investment and M&A companies of all types
  • M2M equipment and service providers of all types

 

1.0 EXECUTIVE SUMMARY 9
 
2.0 OVERVIEW OF TELECOM FRAUD MANAGEMENT 12
 
2.1 FRAUD MANAGEMENT FOR TELECOM OPERATORS 12
2.2 FRAUD MANAGEMENT STRATEGY 13
2.2.1 EMPOWERMENT 13
2.2.2 CONTROLS COVERAGE 13
2.2.3 OWNERSHIP 13
2.2.4 RESPONSIBILITY GAP 14
2.3 BASICS OF FRAUD MANAGEMENT STRATEGIES 14
2.3.1 PEOPLE 14
2.3.2 PROCESS 15
2.3.3 TECHNOLOGY 15
2.4 FRAUD MANAGEMENT SYSTEM (FMS) 16
2.4.1 ADVANTAGES OF FRAUD MANAGEMENT SYSTEM (FMS) 17
2.4.2 FRAUD MANAGEMENT IN M2M 18
 
3.0 OVERVIEW OF M2M 21
 
3.1 M2M APPLICATIONS 24
3.1.1 MOBILE OPERATORS ROLE 24
3.1.2 M2M AND SMART GRID 24
3.1.3 TRANSPORTATION 25
3.1.4 ROAD TRAFFIC 25
3.1.5 PARKING METERS 26
3.1.6 CONTAINER 26
3.1.7 SECURITY SYSTEMS 26
3.1.8 HEALTHCARE 26
3.1.9 “BIG DATA” ANALYTICS 27
3.2 M2M TECHNOLOGIES 29
3.2.1 CELLULAR TECHNOLOGIES 29
3.2.2 SATELLITE 30
3.2.3 WI-FI 31
3.2.4 BLUETOOTH 31
3.2.5 ZIGBEE 32
3.2.6 AFFORDABLE GEO-LOCATION 33
3.2.7 LOWER COST SPECIALIZED SENSORS 34
3.2.8 AFFORDABLE INTEGRATED, SPECIAL-PURPOSE DEVICES 35
 
4.0 RISK MANAGEMENT AND REVENUE ASSURANCE ISSUES IN M2M 38
 
4.1 REVENUE ASSURANCE 38
4.1.1 LOST SIM CARDS 38
4.1.2 THE PROBLEM 39
4.1.3 SOLUTIONS 39
4.2 RISK MANAGEMENT 39
4.2.1 SECURITY IN M2M 39
4.2.2 NEED FOR END-TO-END SECURITY 40
4.3 M2M SECURITY IS KEY TO INDUSTRY VERTICALS 40
4.3.1 PRIVACY IN M2M 40
 
5.0 COMPANIES AND SOLUTIONS 42
5.1 NETEZZA / IBM 42
5.1.1 COMPANY OVERVIEW 42
5.1.2 LOCATION 42
5.1.3 INDUSTRY CLASSIFICATION 42
5.1.4 BUSINESS DESCRIPTION 42
5.1.5 COMPANY HISTORY 42
5.1.6 KEY PEOPLE 43
5.1.7 COMPANY UPDATES 43
5.1.8 KEY DEVELOPMENTS 43
5.1.9 MERGERS AND ACQUISITIONS 43
5.1.10 COMPANY ANALYSIS 44
5.1.11 SWOT ANALYSIS 44
5.1.12 STRENGTHS 45
5.1.13 WEAKNESSES 45
5.1.14 OPPORTUNITIES 45
5.1.15 THREATS 46
5.1.16 INTERVIEW WITH MIND COMMERCE 47
5.1.17 COMPANY’S ANALYSIS 51
5.1.18 NETEZZA AND M2M FRAUD AND REVENUE LEAKAGE 51
5.2 TEREDATA 52
5.2.1 COMPANY OVERVIEW 52
5.2.2 LOCATION 52
5.2.3 INDUSTRY CLASSIFICATION 52
5.2.4 BUSINESS DESCRIPTION 52
5.2.5 COMPANY HISTORY 53
5.2.6 KEY PEOPLE 53
5.2.7 COMPANY UPDATES 54
5.2.8 KEY DEVELOPMENTS 54
5.2.9 MERGERS AND ACQUISITIONS 54
5.2.10 COMPANY ANALYSIS 55
5.2.11 SWOT ANALYSIS 55
5.2.12 STRENGTHS 55
5.2.13 WEAKNESSES 56
5.2.14 OPPORTUNITIES 56
5.2.15 THREATS 57
5.2.16 COMPANY’S BUSINESS STRATEGY 57
5.2.17 INTERVIEW WITH MIND COMMERCE 57
5.2.18 COMPANY’S ANALYSIS 62
 
5.3 ORACLE 62
5.3.1 COMPANY INFORMATION 62
5.3.2 LOCATION 62
5.3.1 BUSINESS DESCRIPTION 62
5.3.2 COMPANY HISTORY 63
5.3.3 KEY PEOPLE 63
5.3.4 MERGERS AND ACQUISITIONS 63
5.3.5 COMPANY ANALYSIS 64
5.3.6 SWOT ANALYSIS 64
5.3.7 STRENGTHS 65
5.3.8 WEAKNESSES 65
5.3.9 OPPORTUNITIES 66
5.3.10 THREATS 66
5.3.11 COMPANY’S ANALYSIS 66
5.4 SAP 67
5.4.1 COMPANY OVERVIEW 67
5.4.2 LOCATION 67
5.4.3 INDUSTRY CLASSIFICATION 67
5.4.4 BUSINESS DESCRIPTION 67
5.4.5 COMPANY HISTORY 68
5.4.6 KEY PEOPLE 68
5.4.7 MERGERS AND ACQUISITIONS 68
5.4.8 COMPANY ANALYSIS 69
5.4.9 SWOT ANALYSIS 69
5.4.10 STRENGTHS 69
5.4.11 WEAKNESSES 70
5.4.12 OPPORTUNITIES 70
5.4.13 THREATS 71
5.4.14 COMPANY’S BUSINESS STRATEGY 71
5.4.15 INTERVIEW WITH MIND COMMERCE 71
5.4.2 COMPANY’S ANALYSIS 76
5.5 SAS 76
5.5.1 COMPANY OVERVIEW 76
5.5.2 LOCATION 76
5.5.3 INDUSTRY CLASSIFICATION 76
5.5.4 BUSINESS DESCRIPTION 77
5.5.5 COMPANY HISTORY 77
5.5.6 KEY PEOPLE 78
5.5.7 COMPANY UPDATES 78
5.5.8 MERGERS AND ACQUISITIONS 78
5.5.9 COMPANY ANALYSIS 78
5.5.10 SWOT ANALYSIS 78
5.5.11 STRENGTHS 79
5.5.12 WEAKNESSES 80
5.5.13 OPPORTUNITIES 80
5.5.14 THREATS 80
5.5.1 INTERVIEW WITH MIND COMMERCE 81
5.5.2 COMPANY’S ANALYSIS 85
5.6 AGILIS INTERNATIONAL 85
5.6.1 COMPANY OVERVIEW 86
5.6.2 LOCATION 86
5.6.3 INDUSTRY CLASSIFICATION 86
5.6.4 BUSINESS DESCRIPTION 86
5.6.5 KEY PEOPLE 87
5.6.6 COMPANY UPDATES 87
5.6.7 MERGERS AND ACQUISITIONS 87
5.6.8 COMPANY ANALYSIS 87
5.6.9 SWOT ANALYSIS 87
5.6.10 STRENGTHS 88
5.6.11 WEAKNESSES 88
5.6.12 OPPORTUNITIES 88
5.6.13 THREATS 89
5.6.14 COMPANY’S BUSINESS STRATEGY 89
5.6.1 INTERVIEW WITH MIND COMMERCE 89
5.6.2 COMPANY’S ANALYSIS 94
5.7 TABLEAU 94
5.7.1 COMPANY OVERVIEW 94
5.7.2 LOCATION 94
5.7.3 INDUSTRY CLASSIFICATION 94
5.7.4 BUSINESS DESCRIPTION 94
5.7.5 COMPANY HISTORY 95
5.7.6 KEY PEOPLE 95
5.7.7 COMPANY ANALYSIS 96
5.7.8 SWOT ANALYSIS 96
5.7.9 STRENGTHS 96
5.7.10 WEAKNESSES 96
5.7.11 OPPORTUNITIES 97
5.7.12 THREATS 97
5.7.13 COMPANY’S BUSINESS STRATEGY 97
5.7.1 INTERVIEW WITH MIND COMMERCE 98
5.7.2 COMPANY’S ANALYSIS 102
5.8 WEDO TECHNOLOGIES 102
5.8.1 COMPANY OVERVIEW 102
5.8.2 LOCATION 102
5.8.3 INDUSTRY CLASSIFICATION 103
5.8.4 BUSINESS DESCRIPTION 103
5.8.5 COMPANY HISTORY 103
5.8.6 KEY PEOPLE 103
5.8.7 MERGERS AND ACQUISITIONS 104
5.8.8 COMPANY ANALYSIS 104
5.8.9 SWOT ANALYSIS 104
5.8.10 STRENGTHS 104
5.8.11 WEAKNESSES 105
5.8.12 OPPORTUNITIES 105
5.8.13 THREATS 105
5.8.1 INTERVIEW WITH MIND COMMERCE 105
5.9 TEOCO 107
5.9.1 COMPANY OVERVIEW 107
5.9.2 LOCATION 107
5.9.3 INDUSTRY CLASSIFICATION 107
5.9.4 BUSINESS DESCRIPTION 107
5.9.5 COMPANY HISTORY 108
5.9.6 KEY PEOPLE 108
5.9.7 MERGERS AND ACQUISITIONS 109
5.9.8 COMPANY ANALYSIS 109
5.9.9 SWOT ANALYSIS 109
5.9.10 STRENGTHS 110
5.9.11 WEAKNESSES 110
5.9.12 OPPORTUNITIES 110
5.9.13 THREATS 110
5.9.14 COMPANY’S BUSINESS STRATEGY 111
5.9.1 INTERVIEW WITH MIND COMMERCE 111
5.10 CVIDYA 115
5.10.1 COMPANY OVERVIEW 115
5.10.2 LOCATION 116
5.10.1 INDUSTRY CLASSIFICATION 116
5.10.2 BUSINESS DESCRIPTION 116
5.10.3 SERVICE OFFERINGS 116
5.10.4 KEY DEVELOPMENTS 117
5.10.5 SWOT ANALYSIS 117
5.11 MACH 117
5.11.1 COMPANY OVERVIEW 118
5.11.2 LOCATION 118
5.11.3 INDUSTRY CLASSIFICATION 118
5.11.4 BUSINESS DESCRIPTION 118
5.11.5 COMPANY HISTORY 118
5.11.6 KEY PEOPLE 118
5.11.7 MERGERS AND ACQUISITIONS 119
5.11.8 COMPANY ANALYSIS 119
5.11.9 SWOT ANALYSIS 119
5.11.10 STRENGTHS 120
5.11.11 WEAKNESSES 120
5.11.12 OPPORTUNITIES 121
5.11.13 THREATS 121
5.11.14 COMPANY’S BUSINESS STRATEGY 121
5.11.1 INTERVIEW WITH MIND COMMERCE 122
5.12 OVERALL ANALYSIS 126
5.13 MARKET SURVEY RESULTS 126
 
6.0 MARKET OUTLOOK 128
 
6.1 GROWTH DRIVER ANALYSIS OF M2M SOLUTION MARKET 129
6.1.1 EMERGENCE OF ALLIANCES AND MARKET CONSOLIDATIONS WILL HELP END CONSUMER 129
6.1.2 UNIFIED M2M DEVELOPMENT PLATFORMS 129
6.1.3 GROWTH IN CONNECTED CONSUMER ELECTRONIC DEVICES 131
6.1.4 LAUNCH OF NEW HOME AUTOMATION PRODUCTS AND DIY PRODUCTS 131
6.1.5 GROWTH IN POTENTIAL END-USE APPLICATIONS WILL WIDEN M2M MARKET SCOPE 132
6.1.6 SMART GRIDS MARKET WILL BE A MAJOR CONTRIBUTOR 132
6.1.7 SATELLITE M2M COMMUNICATIONS GROWTH: REVENUE PROJECTION 2013-2018 134
6.1.8 STANDARDS FOR CONNECTED CARS AND DEMAND FOR TELEMATICS SEGMENT 136
6.1.9 GROWTH IN THE VAS APPLICATIONS MARKET 137
6.1.10 DEPLOYMENT OF INDUSTRIAL WSNS TO BOOST OVERALL MARKET 139
6.2 GLOBAL CELLULAR M2M MODULE PRICING 2014- 2018 139
6.3 GLOBAL M2M MARKET SALES REVENUE 2014 – 2018 141
6.4 GLOBAL M2M SOFTWARE MARKET REVENUE 2014 – 2018 142
6.5 GLOBAL M2M MARKET COMPETITIVE LANDSCAPE 2013 144
6.6 MARKET OUTLOOK FOR M2M FRAUD AND REVENUE LEAKAGE 146
6.7 M2M MARKET GLOBAL BUSINESS IMPACT (BI) 146
6.7.1 APAC M2M BUSINESS IMPACT REVENUE 2016-2020 146
6.7.2 GLOBAL M2M BUSINESS IMPACT REVENUE IN REGIONS 2016 – 2020 148
6.7.3 CHINA M2M BUSINESS IMPACT REVENUE 2016-2020 149
6.7.4 JAPAN M2M BUSINESS IMPACT REVENUE 2016 - 2020 149
6.7.5 INDIA M2M BUSINESS IMPACT REVENUE 2016-2020 151
6.7.6 SOUTH KOREA M2M BUSINESS IMPACT REVENUE 2012-2020 152
 
Figures
 
Figure 1 M2M as a Fundamental Change Agent 11
Figure 2 Cellular Data Transmissions from Fixed or Mobile Assets 33
Figure 3 Sensors Networks in Practice 35
Figure 4 Wireless Sensor Communications Module by Libelium 36
Figure 5 Libelium’s pre-configured sensor board optimized for agriculture applications 37
Figure 6 Global M2M Market: End Use Applications 128
Figure 7 Conceptual Rending of M2M Platform 131
Figure 8 Global Smart Meter M2M Connections units 2010 – 2020 133
Figure 9: Global Satellite M2M Market Revenue 2011 – 2016 135
Figure 10 Month to Month Timeline Track of oneM2M Standard 2011-2012 137
Figure 11 Comparison between High Value and Current Operator Service Model 138
Figure 12 Global M2M Market, VAS Applications Share by % 2013 138
Figure 13 Global Cellular M2M Module Pricing ($) 2010-2014 140
Figure 14 Global Cellular M2M Module Pricing ($) 2014-2018 141
Figure 15 Global M2M Market Sales Revenues in USD $ billion 2014 – 2018 142
Figure 16 Graphical Presentation of Global M2M Market, Competitive Landscape by % 2013 145
Figure 17 Asia Pacific M2M Business Impact Revenues 2012 – 2020 147
Figure 18 Global M2M Business Impact by Region 2012 – 2020 148
Figure 19 China M2M Business Impact Revenues by Industry 2012 – 2020 149
Figure 20 Japan M2M Business Impact Revenues by Industry 2012 – 2020 150
Figure 21 India M2M Business Impact Revenues by Industry 2012 – 2020 151
Figure 22 Korea M2M Business Impact Revenues by Industry 2012 – 2020 152
 
Tables
 
Table 1 OVERVIEW OF MAIN WIRELESS COMMUNICATIONS USED IN M2M 29
Table 2 Bluetooth and ZigBee Comparison 33
Table 3 Major M&A Events in Global M2M Market 2010 – 2012 129
Table 4 Global Smart Meter M2M Connections Unit in Million 2010 – 2020 133
Table 5 Global Satellite M2M Market Revenue in USD $ billion 2011 – 2016 135
Table 6 Global Satellite M2M Operator Companies 135
Table 7 VAS Applications Share by % in Global M2M Market 2013 137
Table 8 Global Cellular M2M Module Pricings in USD $ 2014– 2018 139
Table 9 Global M2M Market Sales Revenues in USD $ billion 2011 – 2017 142
Table 10 Global M2M Software Market Revenues in USD $ million 2014 – 2018 144
Table 11: Global M2M Market, Competitive Landscape by % 2013 145
Table 12 Asia Pacific M2M Business Impact Revenues in USD $ billion 2016 – 2020 147
Table 13 Global M2M Business Impact Revenues by Region $B 2016 – 2020 148
Table 14 China M2M Business Impact Revenues by Industry in USD $ billion 2016 – 2020 149
Table 15 Japan M2M Business Impact Revenues by Industry 2016 – 2020 150
Table 16 India M2M Business Impact Revenues by Industry, 2016 – 2020 151
Table 17 Korea M2M Business Impact Revenues in USD $ billion by Industry 2016 – 2020 152
  1. NETEZZA / IBM
  2. TEREDATA
  3. ORACLE 
  4. SAP
  5. SAS 
  6. AGILIS INTERNATIONAL
  7. TABLEAU
  8. WEDO TECHNOLOGIES
  9. CVIDYA
  10. MACH
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