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Albany, NY -- (SBWire) -- 11/20/2017 --M2M (Machine-to-Machine) refers to the flow of data between physical objects, without the need for human interaction. M2M connectivity has opened a multi-billion dollar revenue opportunity for mobile operators, MVNOs and service aggregators, addressing the application needs of several verticals markets. By enabling network connectivity among physical objects, M2M has also initiated the IoT (Internet of Things) vision - a global network of sensors, equipment, appliances, smart devices and applications that can communicate in real time.

SNS Research estimates that global spending on M2M and IoT technologies will reach nearly $250 Billion by 2020, driven by a host of vertical market applications including but not limited to connected car services, remote asset tracking, healthcare monitoring, smart metering, digital signage, home automation and intelligent buildings.

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Table of Contents

Chapter 1: Introduction1.1. Executive Summary
1.2. Topics Covered
1.3. Historical Revenue and Forecast Segmentation
1.4. Key Questions Answered
1.5. Key Findings
1.6. Methodology
1.7. Target Audience
1.8. Companies & Organizations Mentioned

Chapter 2: An Overview of M2M & IoT
2.1. What is M2M Technology?
2.2. M2M vs. IoT: What's the Difference?
2.3. Industrial Internet: Another Buzzword
2.4. The IoT Vision
2.4.1. A Variety of High-Performance and Low-Cost Devices
2.4.2. Scaling Connectivity to Billions of Devices
2.4.3. Cloud Based Applications and Management
2.5. M2M & IoT Architecture
2.6. The Business Case: Key Market Drivers
2.6.1. Affordable Unit Costs: Viable for a Range of New Applications
2.6.2. Proliferation of Mobile Networks
2.6.3. Declining Voice Revenues: Economic Motivation
2.6.4. Attractive Business Model: Predictable Revenue Opportunities
2.6.5. Benefiting from the Smart Consumer Device Ecosystem
2.6.6. Regulatory Initiatives & Mandates
2.6.7. Interest from Vertical Markets
2.7. Challenges & Inhibitors to the Ecosystem
2.7.1. Standardization Challenges
2.7.2. Low ARPU
2.7.3. Support for Roaming
2.7.4. Privacy & Security Concerns
2.7.5. Integration Complexities

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Chapter 3: Key Enabling Technologies
3.1. Wide Area Networking
3.1.1. Cellular Networks
3.1.1.1. 2G & 3G
3.1.1.2. LTE
3.1.1.3. 5G
3.1.2. Satellite Communications
3.1.3. Wireline Networks
3.1.4. LPWA (Low Power Wide Area) Networks
3.1.5. Others
3.2. Short Range Networking
3.2.1. WiFi
3.2.2. Bluetooth
3.2.3. ZigBee
3.2.4. Others
3.3. Other Enabling Technologies
3.3.1. Energy Harvesting
3.3.2. Sensors
3.3.3. Navigation Technology
3.3.4. Operating Systems & Software Platforms
3.3.5. Cloud Computing
3.3.6. Big Data & Analytics
3.3.7. Other Technologies

Chapter 4: Collaboration, Standardization & Regulatory Landscape
4.1. Standardization & Regulatory Initiatives
4.1.1. 3GPP (3rd Generation Partnership Project)
4.1.2. Bluetooth SIG (Special Interest Group)
4.1.3. DASH7 Alliance
4.1.4. ETSI (European Telecommunications Standards Institute)
4.1.5. GSMA
4.1.6. HGI (Home Gateway Initiative)
4.1.7. IEEE (Institute of Electrical and Electronics Engineers)
4.1.8. IETF (Internet Engineering Task Force)
4.1.9. ISO (International Organization for Standardization)
4.1.10. ITU (International Telecommunications Union)
4.1.11. LoRA Alliance
4.1.12. Mobility Development Group
4.1.13. OASIS (Organization for the Advancement of Structured Information Standards)
4.1.14. OMA (Open Mobile Alliance)
4.1.15. OMG (Object Management Group)
4.1.16. OneM2M
4.1.17. TIA (Telecommunications Industry Association, U.S.)
4.1.18. ULE (Ultra Low Energy) Alliance
4.1.19. W3C (World Wide Web Consortium)
4.1.20. Weightless SIG
4.1.21. Wi-SUN Alliance
4.1.22. WiFi Alliance
4.1.23. ZigBee Alliance
4.1.24. Z-Wave Alliance
4.1.25. Case Study: Standards for M2M & IoT Security
4.2. Collaborative Initiatives & Trade Associations
4.2.1. AIOTI (Alliance for Internet of Things Innovation)
4.2.2. AllSeen Alliance
4.2.3. HyperCat Consortium
4.2.4. IIC (Industrial Internet Consortium)
4.2.5. IMC (IoT M2M Council)
4.2.6. IPSO (Internet Protocol for Smart Object) Alliance
4.2.7. M2M Alliance
4.2.8. NGM2M (New Generation M2M) Consortium, Japan
4.2.9. OIC (Open Interconnect Consortium)
4.2.10. Thread Group
4.2.11. Wireless IoT Forum
4.3. Mobile Operator Alliances
4.3.1. M2M World Alliance
4.3.2. GMA (Global M2M Association)

Chapter 5: Vertical Market Applications, Opportunities and Case Studies
5.1. Automotive & Transportation
5.1.1. Communications & Infotainment
5.1.2. Navigation & Location Services
5.1.3. Fleet Management
5.1.4. Vehicle Management
5.1.5. Safety & Security
5.1.6. Driver Assistance & Automated Driving
5.1.7. ITS (Intelligent Transportation Systems)
5.1.8. Other Applications
5.2. Asset Management & Logistics
5.2.1. Maintaining Real-Time Asset Inventories
5.2.2. Supply Chain Visibility
5.2.3. Tracking Delicate Goods
5.2.4. Monitoring of Shipment Conditions
5.2.5. Other Applications
5.3. Consumer Electronics & Home Automation
5.3.1. Entertainment
5.3.2. Localization
5.3.3. Sports & Fitness
5.3.4. Smart Homes & Intelligent Appliances
5.4. Energy & Utilities
5.4.1. Smart Metering
5.4.2. Smart Grid
5.4.3. Applications in the Oil & Gas Sector
5.5. Healthcare
5.5.1. Health & Wellness Monitoring
5.5.2. Remote Patient Monitoring
5.5.3. Diagnostic Tools
5.5.4. Other Applications
5.6. Intelligent Buildings & Infrastructure
5.6.1. Intelligent Buildings
5.6.2. Public Infrastructure Management
5.6.3. Other Applications
5.7. Public Safety, Security & Surveillance
5.7.1. Video Surveillance
5.7.2. Perimeter Access Control
5.7.3. Other Applications
5.8. Retail & Vending
5.8.1. POS (Point of Sale) Applications
5.8.2. Intelligent Shopping
5.8.3. Smart Restocking
5.8.4. Digital Signage
5.8.5. Other Applications
5.9. Other Industry Verticals
5.9.1. Agriculture
5.9.2. Construction
5.9.3. IT & Networks
5.9.4. Industrial Automation & Manufacturing
5.10. M2M & IoT Deployment Case Studies
5.10.1. Automotive OEMs: Connected Car Programs
5.10.2. BP: Achieving Cost Savings & Risk Mitigation with IoT
5.10.3. BT: Creating the UK's First IoT Enabled Smart City
5.10.4. Camelot Group: Improving Operational Efficiency for Retailers
5.10.5. Ingenie: Pioneering UBI (Usage Based Insurance) for Young Drivers
5.10.6. LG Electronics: Bringing IoT to Smart Homes
5.10.7. Lijiang Police: HD Video Surveillance with LTE
5.10.8. NJSP (New Jersey State Police): Tracking Stolen Goods & Suspects
5.10.9. Philips Respironics: Remote Diagnostics for Respirators and Ventilators
5.10.10. Praxair: Avoiding Tank Outages
5.10.11. Romec: Managing Fuel Consumption with M2M
5.10.12. Streetline: Intelligent Parking with M2M Connectivity
5.10.13. Telcare: Blood Glucose Monitoring with M2M Connectivity
5.10.14. Telefónica UK: Smart Meter Implementation Program

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