The M2M & IoT Ecosystem: 2015 - 2030 - Opportunities, Challenges, Strategies, Industry Ver


MarketResearchReports.Biz presents this most up-to-date research on "The M2M & IoT Ecosystem: 2015 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals & Forecasts"

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

 

 

 

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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

 

 

 

 

 

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Published on

Aug 26, 2016