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The M2M & IoT Ecosystem: 2016 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals & Forecasts

Albany, New York, Jan 24,2017

"The M2M & IoT Ecosystem: 2015 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals & Forecasts" The Report covers current Industries Trends, Worldwide Analysis, Global Forecast, Review, Share, Size, Growth, Effect.

Description-

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.

Table of Contents


Chapter 1: Introduction
1.1. 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


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)



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