Wireless IoT Wide Area Network (WAN) Technologies and Solutions

Wireless IoT Wide Area Network (WAN) Technologies and Solutions

Wireless Wide Area Network (WWAN) communications is one of the most important aspects of an IoT network, which includes various alternatives such as Low Power Wide Area Network (LPWAN). While much focus is on IoT end-points and related issues such as security and power, ubiquitous wireless coverage remains the overarching issue for transformation from traditional M2M to global IoT networks. Adoption of IoT connectivity creates substantial opportunities for LPWAN network, hardware, and software services. Mind Commerce foresees more than 100% growth of market value through 2025..

Mind Commerce initiates coverage of IoT WAN with this report focused primarily on non-cellular solutions. This introductory level report is recommended to anyone who needs to understand the Wireless IoT WAN landscape including a comparison of technologies and solutions. The report also includes market projections and related analysis.

Any purchasers of this report is also entitled to a previously published Mind Commerce IoT report of equal or lessor value. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

This report answers the following questions and more:

What is the WWAN ecosystem and how it accelerates IoT adoption?
Who are the cellular and non-cellular solution providers for Wireless IoT WAN?
Who are the ecosystem players of Wireless IoT WAN and their emerging roles?
How LPWAN connections and market revenue will grow from 2015 through 2025?
What is the pre-dominant technology for Wireless IoT WAN and how it acts as key growth drivers?
Why Low-Power Wide Area Network (LPWAN) is considered the key technology for Wireless IoT WAN?

Target Audience:

Non-cellular CSPs
IoT network providers
Mobile network operators
Semiconductor companies
Embedded systems companies
4G/5G/IoT equipment providers
IoT app developers and aggregators

General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.

1.0 Overview
2.0 Introduction
2.1 Wireless Wide Area Network (Wwan)
2.2 Wwan Service Families
2.3 Iot Network And Applications
2.4 Wireless Iot Wide Area Network (Wan)
2.5 Wireless Iot Wan Standardization
2.6 Wireless Iot Wan Growth Driver
2.6.1 Communication Protocol
2.6.2 Network Topology And Interoperability
2.6.3 Intelligent Iot Network
2.6.4 M2m Communication
2.6.5 White Box Solutions To Be Extended To Iot
2.6.6 Smart City Initiatives
2.6.7 Low-power Wide Area Network (Lpwan)
3.0 Wireless Iot Wan Technology And Ecosystem Players
3.1 Low-power Wide Area Network (Lpwan)
3.2 Lpwan Concepts
3.2.1 Range Vs. Battery Life
3.2.2 Noise Vs. Bandwidth
3.2.3 Unlicensed Cellular Spectrum
3.2.4 No Uniform Bandwidth
3.2.5 Localization
3.2.6 Network Configuration
3.3 Lpwan Optimization
3.4 Wifi Network
3.5 Telecom Carriers
3.6 Cellular Standards
3.7 Nb-iot (Narrowband Iot) Network
3.8 Random Phase Multiple Access (Rpma)
3.9 Cellular Iot (Ciot)
3.9.1 Lte-m Standard
3.9.2 Ec-gsm Standard
3.9.3 Nb-lte Standard
3.10 Lorawan
4.0 Lpwan Market Projections Through 2025
4.1 Lpwan Connections Through 2025
4.2 Lpwan Market Revenue Through 2025
4.3 Lpwan Market Segment By Category
4.4 Lpwan Market Segment By Region
4.5 Lpwan Taxonomy Analysis
5.0 Lpwan Technology, Vendor And Standardization
5.1 Non-cellular Provider
5.1.1 Neul
5.1.2 Lora Alliance
5.1.3 Sigfox
5.1.4 Ingenu
5.1.5 Nwave
5.1.6 Linklabs Symphony Link
5.1.7 Wireless Iot Forum (Wiotf)
5.1.8 Argondesign
5.1.9 Weightless
5.1.10 Fastnet
5.1.11 Semtech
5.1.12 Senet
5.1.13 Tata Communication
5.1.14 Ibm
5.1.15 Cisco
5.1.16 Huawei
5.1.17 Ericsson, Nokia And Intel
5.1.18 Greenvity
5.1.19 Aclara
5.1.20 Rajant
5.2 Select Cellular Organizations
5.2.1 British Telecom
5.2.2 Gsma
5.2.3 Vodafone
5.2.4 Deutsche Telekom (Dt)
5.2.5 3gpp
5.2.6 Orange
5.2.7 Proximus
5.2.8 At&T
5.2.9 Kpn
5.2.10 Bouygues Telecom
5.2.11 The Lace Company
5.2.12 Du
6.0 Lpwan Use Cases
6.1 Lpwan Application Landscape
6.2 Lighting Control
6.3 Parking Management
6.4 Security Access And Control
6.5 Smart Grid And Demand Response
6.6 Logistics And Asset Tracking
6.7 Water Metering And Leak Detection
6.8 Irrigation Management
Figure 1: Wireless Network Standards for IoT
Figure 2: Wirelss IoT Wide Area Network Connectivity Ecosystem
Figure 3: Wireless Network Standardization for IoT
Figure 4: Wireless IoT Communication and Protocol Stack
Figure 5: Star and Mesh Network Topology and Interconnection Pattern
Figure 6: Intelligent IoT Network Diagram
Figure 7: M2M Powered Air Traffic Control System in WWAN Environment
Figure 8: Smart City Connectivity Diagram
Figure 9: LPWAN Radios Range vs. Battery Life
Figure 10: LPWAN Range vs. Bandwidth and Combination Point
Figure 11: NB-IoT Powered Centralized Payment Point for Drivers
Figure 12: 3GPP IoT Proposals for LTE, Narrowband and 5G Network
Figure 13: LoRaWAN Network Architecture
Figure 14: LoRaWAN Network Architecture
Figure 15: LoRa LPWAN Network Connectivity Structure
Figure 16: AT&T WWAN Solution Architecture
Figure 17: Cellular IoT Network Standard, Data Rates, and Sample Use Cases
Figure 18: Cellular IoT Use Cases and Specific Requirements

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