ALBANY, N.Y. -- 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.
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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
Table of Contents
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
