From owner-freebsd-gnome@freebsd.org Mon Dec 5 10:02:02 2016 Return-Path: Delivered-To: freebsd-gnome@mailman.ysv.freebsd.org Received: from mx1.freebsd.org (mx1.freebsd.org [IPv6:2001:1900:2254:206a::19:1]) by mailman.ysv.freebsd.org (Postfix) with ESMTP id B8593C67C7A for ; Mon, 5 Dec 2016 10:02:02 +0000 (UTC) (envelope-from andy.silva@snsresearchreports.com) Received: from mailman.ysv.freebsd.org (unknown [127.0.1.3]) by mx1.freebsd.org (Postfix) with ESMTP id 997761D27 for ; Mon, 5 Dec 2016 10:02:02 +0000 (UTC) (envelope-from andy.silva@snsresearchreports.com) Received: by mailman.ysv.freebsd.org (Postfix) id 98AF6C67C79; Mon, 5 Dec 2016 10:02:02 +0000 (UTC) Delivered-To: gnome@mailman.ysv.freebsd.org Received: from mx1.freebsd.org (mx1.freebsd.org [IPv6:2001:1900:2254:206a::19:1]) by mailman.ysv.freebsd.org (Postfix) with ESMTP id 98248C67C78 for ; Mon, 5 Dec 2016 10:02:02 +0000 (UTC) (envelope-from andy.silva@snsresearchreports.com) Received: from mailer238.gate85.rs.smtp.com (mailer238.gate85.rs.smtp.com [74.91.85.238]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (Client did not present a certificate) by mx1.freebsd.org (Postfix) with ESMTPS id 578841D26 for ; Mon, 5 Dec 2016 10:02:01 +0000 (UTC) (envelope-from andy.silva@snsresearchreports.com) X-MSFBL: 7/IL6fgJFo5lO+NOLnYwNVDfhGmGly7Rajs4+ePYfV8=|eyJnIjoiU25zdGVsZWN vbV9kZWRpY2F0ZWRfcG9vbCIsImIiOiI3NF85MV84NV8yMzgiLCJyIjoiZ25vbWV AZnJlZWJzZC5vcmcifQ== Received: from [192.168.80.41] ([192.168.80.41:38364] helo=rs-ord-mta04-1.smtp.com) by rs-ord-mta03-4.smtp.com (envelope-from ) (ecelerity 4.2.1.55028 r(Core:4.2.1.12)) with ESMTP id 26/8F-22704-F5635485; Mon, 05 Dec 2016 09:41:51 +0000 DKIM-Signature: v=1; a=rsa-sha256; d=smtp.com; s=smtpcomcustomers; c=relaxed/simple; q=dns/txt; i=@smtp.com; t=1480930911; h=From:Subject:To:Date:MIME-Version:Content-Type; bh=uMBI9cu2ofpWPzF3zxwUnnyoY/05hQJddr6qTG7ZEM8=; b=mmlKPtQ5UaEIuAtQ8rstRt2rn0enWHeuRhkpooptgx9QPz04WxmsZxnlOF5hIwB8 uiLBSPU09b+1Kzo7aejISE0yZO9hLIjc0el4vU96AAM975V/ogT5Z+O+cFGGU3KJ fVA5uw46ROkSiJD7ZRj8D70ODYFvVZSZS0bJU92q/AY=; Received: from [70.79.69.78] ([70.79.69.78:39936] helo=S01061c1b689e28c7.vc.shawcable.net) by rs-ord-mta04-1.smtp.com (envelope-from ) (ecelerity 4.1.0.46749 r(Core:4.1.0.4)) with ESMTPA id 79/E1-31374-E5635485; Mon, 05 Dec 2016 09:41:51 +0000 MIME-Version: 1.0 From: "Andy Silva" Reply-To: andy.silva@snsresearchreports.com To: gnome@freebsd.org Subject: The LPWA (Low Power Wide Area) Networks Ecosystem: 2017 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals & Forecasts (Report) X-Mailer: Smart_Send_2_0_138 Date: Mon, 5 Dec 2016 01:41:44 -0800 Message-ID: <317642352744076918075@Ankur> X-Report-Abuse: SMTP.com is an email service provider. Our abuse team cares about your feedback. Please contact abuse@smtp.com for further investigation. X-SMTPCOM-Tracking-Number: 5d0bd163-57a9-4347-b170-1bd3b2928f39 X-SMTPCOM-Sender-ID: 6008902 Feedback-ID: 6008902:SMTPCOM Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable X-Content-Filtered-By: Mailman/MimeDel 2.1.23 X-BeenThere: freebsd-gnome@freebsd.org X-Mailman-Version: 2.1.23 Precedence: list List-Id: GNOME for FreeBSD -- porting and maintaining List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 05 Dec 2016 10:02:02 -0000 The LPWA (Low Power Wide Area) Networks Ecosystem: 2017 =96 2030 =96 Opport= unities, Challenges, Strategies, Industry Verticals & Forecasts (Report) Hello Let me offer you the latest SNS Research report to you and your team, "The = LPWA (Low Power Wide Area) Networks Ecosystem: 2017 =96 2030 =96 Opportunit= ies, Challenges, Strategies, Industry Verticals & Forecasts" Below is the r= eport highlight and if you like I can send you sample pages for your detail= s inside.=20 LPWA networks are optimized to provide wide area coverage with minimal powe= r consumption. Typically reliant on unlicensed frequencies, LPWA profile Io= T devices have low data rates, long battery lives and can operate unattende= d for long periods of time. Licensed LPWA technologies such as NB-IoT and L= TE Cat-M1 are also beginning to gain traction. Already prevalent in IoT applications such as smart metering, lighting cont= rol and parking management, LPWA networks are expected to make a significan= t contribution to the M2M and IoT ecosystem, with an estimated $23 Billion = in service revenue by 2020. Report Information: Release Date: Nov 2016 Number of Pages: 239 Number of Tables and Figures: 63 Key Questions Answered: How big is the LPWA networks opportunity=3F What trends, challenges and barriers are influencing its growth=3F How is the ecosystem evolving by segment and region=3F What will the market size be in 2020 and at what rate will it grow=3F Which regions and submarkets will see the highest percentage of growth=3F How are smart city initiatives driving LPWA network investments=3F What are the key performance characteristics of LPWA technologies such as S= igfox, LoRa, NB-IoT, LTE Cat-M1 and EC-GSM-IoT=3F How does regulation impact the adoption of LPWA networks=3F Do cellular LPWA networks pose a threat to proprietary LPWA technologies=3F Who are the key market players and what are their strategies=3F What strategies should LPWA technology providers, mobile operators, MVNOs, = aggregators, IoT platform providers and other ecosystem players adopt to re= main competitive=3F Key Findings: The report has the following key findings: Already prevalent in IoT applications such as smart metering, lighting cont= rol and parking management, LPWA networks are expected to make a significan= t contribution to the M2M and IoT ecosystem, with an estimated $23 Billion = in service revenue by 2020. At present, a majority of LPWA networks are based on proprietary technologi= es and operate in license-exempt spectrum primarily in sub-GHz bands. With the recent completion of the NB-IoT, LTE Cat-M1 and EC-GSM-IoT standar= ds by the 3GPP, mobile operators are aggressively investing in software upg= rades to build their own carrier-grade LPWA networks. By 2020, SNS Research estimates that more than 35% of all LPWA profile IoT = devices will be served by NB-IoT, LTE Cat-M1 and EC-GSM-IoT networks. As of Q4=922016, SNS Research estimates the cost of a typical LPWA module t= o be $4-18, depending on the specific technology. As LPWA network deploymen= ts mature, we expect that the cost per module can drop down to as low as $1= -2 in volume quantities. The report covers the following topics: LPWA networks ecosystem Market drivers and barriers LPWA technologies, spectrum bands and key trends Assessment of competing cellular, satellite, wireline and short range netwo= rking technologies Vertical market applications, opportunities and deployment case studies Regulatory landscape and standardization Industry roadmap and value chain Profiles and strategies of over 100 leading ecosystem players Strategic recommendations for ecosystem players Market analysis and forecasts from 2017 till 2030 Forecast Segmentation: VoLTE subscription, service revenue and infrastructure revenue forecasts ar= e provided for each of the following submarkets and their subcategories: Technology Submarkets Proprietary LPWA Technologies NB-IoT (Narrowband Internet of Things) LTE Cat-M1 (eMTC/LTE-M) EC-GSM-IoT (Enhanced Coverage GSM for the Internet of Things) Vertical Markets Agriculture Asset Management & Logistics Automotive & Transportation Consumer Applications & Home Automation Energy & Utilities Healthcare Intelligent Buildings & Infrastructure Public Safety, Security & Surveillance Retail & Vending Others Regional Markets Asia Pacific Eastern Europe Middle East & Africa Latin & Central America North America Western Europe Report Pricing: =20 Single User License: USD 2,500 Company Wide License: USD 3,500 =20 Ordering Process: =20 Please provide the following information: Report Title - Report License - (Single User/Company Wide) Name - Email - Job Title - Company - Invoice Address - Please contact me if you have any questions, or wish to purchase a copy. Ta= ble of contents and List of figures mentioned in report are given below for= more inside. I look forward to hearing from you. =20 Kind Regards =20 Andy Silva Marketing Executive Signals and Systems Telecom andy.silva@snsresearchreports.com =20 _________________________________________________________________________ Table of Contents: =20 Chapter 1: Introduction 1.1 Executive Summary 1.2 Topics Covered 1.3 Forecast Segmentation 1.4 Key Questions Answered 1.5 Key Findings 1.6 Methodology 1.7 Target Audience 1.8 Companies & Organizations Mentioned =20 Chapter 2: An Overview of LPWA Networks 2.1 M2M Networks & the IoT Vision 2.1.1 What is M2M Technology=3F 2.1.2 The IoT Vision 2.1.3 M2M & IoT Architecture 2.2 The Limitations of Traditional M2M Networking Technologies 2.3 What are LPWA Networks=3F 2.4 Key Characteristics of LPWA Networks 2.4.1 Long Range & Strong Propagation 2.4.2 Star Network Topology 2.4.3 Low Data Rates 2.4.4 Low Power Consumption 2.4.5 Battery Life Requirements 2.4.6 Scalability 2.4.7 Low Cost Modules & Infrastructure 2.4.8 Supplementary Features 2.5 Market Growth Drivers 2.5.1 Addressing Low Throughput IoT Use Cases 2.5.2 Cost Saving Potential 2.5.3 Energy Saving: Towards Green IoT Networks 2.5.4 The 2G Sunset 2.5.5 Regulatory Initiatives & Mandates 2.5.6 Interest from Vertical Markets 2.5.7 Commitments by Industry Giants 2.6 Market Barriers 2.6.1 Lack of Standardization 2.6.2 Interference Concerns 2.6.3 Low Revenue per Connection 2.6.4 Integration Complexities =20 Chapter 3: LPWA Networking Technologies 3.1 UNB (Ultra Narrow Band) 3.1.1 Sigfox 3.1.2 Telensa 3.2 LoRa Alliance 3.2.1 Semtech=92s LoRA RF Platform 3.2.2 LoRaWAN 3.2.3 Link Labs=92 Symphony Link 3.3 Weightless SIG 3.3.1 Weightless-W 3.3.2 Weightless-N 3.3.3 Weightless-P 3.4 Ingenu=92s RPMA (Random Phase Multiple Access) 3.5 Xylem's FlexNet 3.6 Aclara's Synergize 3.7 Standardized 3GPP Technologies 3.7.1 LTE Cat-M1 3.7.2 NB-IoT (Narrow Band Internet of Things) 3.7.3 EC-GSM-IoT (Extended Coverage GSM for the Internet of Things) 3.7.4 Key Enhancements & Simplifications to Enable LPWA Operation 3.7.5 The Future: 5G NB-IoT 3.8 IEEE 802.11 ah & af 3.9 Spectrum Options for LPWA Networks 3.9.1 ISM (Industrial, Scientific, and Medical Radio) Bands 3.9.2 TVWS (TV White Spaces) 3.9.3 Licensed Spectrum 3.10 Competing M2M Networking Technologies 3.10.1 Conventional Cellular Technologies 3.10.1.1 2G & 3G 3.10.1.2 LTE 3.10.1.3 5G 3.10.2 Satellite Communications 3.10.3 Wireline Networks 3.10.4 Short Range Networks 3.10.4.1 Wi-Fi 3.10.4.2 Bluetooth 3.10.4.3 ZigBee 3.10.5 Others =20 Chapter 4: Vertical Market Applications, Opportunities & Case Studies 4.1 Agriculture 4.1.1 Precision Agriculture 4.1.2 Livestock Management 4.1.3 Agricultural Equipment Monitoring 4.2 Asset Management & Logistics 4.2.1 Maintaining Real-Time Asset Inventories 4.2.2 Supply Chain Visibility 4.2.3 Tracking Containers & Goods 4.2.4 Monitoring of Shipment Conditions 4.2.5 Other Applications 4.3 Automotive & Transportation 4.3.1 Tracking & Location Services 4.3.2 Remote Vehicle Management 4.3.3 Safety & Security 4.3.4 Other Applications 4.4 Consumer Applications & Home Automation 4.4.1 Wide Area Tracking 4.4.2 Sports & Fitness 4.4.3 Smart Homes & Intelligent Appliances 4.5 Energy & Utilities 4.5.1 Smart Metering 4.5.2 Applications in the Oil & Gas Sector 4.6 Healthcare 4.6.1 Health & Wellness Monitoring 4.6.2 Diagnostic Tools 4.6.3 Connected Prescription Reminders 4.6.4 Other Applications 4.7 Intelligent Buildings & Infrastructure 4.7.1 Intelligent Buildings 4.7.2 Public Infrastructure Management 4.7.3 Parking Management 4.7.4 Lighting Control 4.7.5 Waste Management 4.7.6 Environmental Monitoring & Other Applications 4.8 Public Safety, Security & Surveillance 4.8.1 Perimeter Access Control 4.8.2 Connected Security Alarms 4.8.3 Other Applications 4.9 Retail & Vending 4.9.1 POS (Point of Sale) Applications 4.9.2 Intelligent Shopping 4.9.3 Smart Restocking 4.9.4 Other Applications 4.10 Other Verticals 4.11 LPWA Deployment Case Studies 4.11.1 AT&T: Targeting New IoT Markets with LTE Cat-M1 4.11.2 BT: Creating the UK=92s First IoT Enabled Smart City 4.11.3 Enevo: Waste Logistics Optimization with LoRaWAN 4.11.4 KT Corporation & LG-Uplus: Collaborating to Accelerate the Adoption = of NB-IoT 4.11.5 Orange: Capitalizing on Multiple LPWA Technologies 4.11.6 Securitas: LPWA Powered Home Security Monitoring 4.11.7 Senet: Optimizing Fuel Delivery with LoRaWAN 4.11.8 Smarteo Water: Enabling Smart Metering with Sigfox 4.11.9 Telensa: Powering Smart Parking & Street Lighting with UNB Technology 4.11.10 The Things Network: Crowdsouring IoT Networks 4.11.11 Vodafone Group: Establishing a Global NB-IoT Network =20 Chapter 5: Regulatory Landscape 5.1 3GPP (3rd Generation Partnership Project) 5.1.1 Release 12 5.1.2 Release 13 5.1.3 Release 14 & Beyond 5.2 ETSI (European Telecommunications Standards Institute) 5.2.1 IoT LTN (Low Throughput Networks) Initiative 5.3 LoRa Alliance 5.4 Weightless SIG 5.5 IEEE (Institute of Electrical and Electronics Engineers) 5.6 Wireless IoT Forum 5.7 GSMA 5.7.1 Mobile IoT (LPWA) Initiative 5.7.2 NB-IoT Forum 5.7.3 LTE-M Task Force 5.7.4 EC-GSM-IoT Group =20 Chapter 6: Industry Roadmap & Value Chain 6.1 Industry Roadmap 6.1.1 2017 =96 2020: Initial Rollouts to Support Smart City Applications 6.1.2 2020 =96 2025: Growing Proliferation of NB-IoT and Licensed LPWA Tech= nologies 6.1.3 2025 =96 2030 & Beyond: Cannibalizing Legacy Cellular M2M Connections 6.2 Value Chain 6.2.1 Enabling Technology 6.2.1.1 Hardware Providers 6.2.1.2 Software Providers 6.2.2 Connectivity 6.2.2.1 Mobile Operators 6.2.2.2 MVNOs & Aggregators 6.2.3 Service Enablement 6.2.3.1 CDP (Connected Device Platform) Providers 6.2.3.2 Application Platform Providers 6.2.4 Vertical Solutions 6.2.4.1 System Integrators 6.2.4.2 Vertical Market Specialists 6.2.5 Other Ecosystem Players 6.2.5.1 Cloud Platform Providers 6.2.5.2 Big Data & Analytics Specialists 6.2.5.3 Supplementary Service Providers =20 Chapter 7: Key Market Players 7.1 Accellus Communication Networks 7.2 Aclara Technologies 7.3 Actility 7.4 Adeunis RF 7.5 Aerea 7.6 Altair Semiconductor 7.7 AM Telecom 7.8 AMBER Wireless 7.9 Arkessa 7.10 Arqiva 7.11 AT&T 7.12 Atim 7.13 Atmel Corporation 7.14 Augtek 7.15 Bouygues Telecom 7.16 BT Group 7.17 Cellnex Telecom 7.18 CG-Wireless 7.19 Cisco Systems 7.20 Digi International 7.21 DT (Deutsche Telekom) 7.22 Du (Emirates Integrated Telecommunications Company) 7.23 Elster Group 7.24 Encore Networks 7.25 Endetec Homerider Systems 7.26 Eolane 7.27 Ericsson 7.28 Etisalat Group 7.29 Eutelsat 7.30 FLASHNET 7.31 Gemalto 7.32 Helium Systems 7.33 Hope RF (Hope Microelectronics) 7.34 Huawei 7.35 IBM 7.36 IMST 7.37 Ingenu 7.38 Intel Corporation 7.39 KCCS (Kyocera Communication Systems) 7.40 KDDI Corporation 7.41 Kerlink 7.42 KPN 7.43 LG Innotek 7.44 Libelium 7.45 Link Labs 7.46 M2COMM (M=B2Communication) 7.47 M2M Spectrum Networks 7.48 MediaTek 7.49 Microchip Technology 7.50 Multi-Tech Systems 7.51 Nemeus 7.52 Nettrotter 7.53 NimbeLink 7.54 NNNCo (National Narrowband Network Communications) 7.55 Nokia 7.56 NTT DoCoMo 7.57 Nwave Technologies 7.58 ON Semiconductor 7.59 Orange 7.60 OrbiWise 7.61 Oviphone 7.62 PicoWAN 7.63 Plextek 7.64 Proximus Group 7.65 Qowiso 7.66 Qualcomm 7.67 Quectel Wireless Solutions 7.68 Radiocrafts 7.69 Sagemcom 7.70 Samsara Networks 7.71 Samsung Electronics 7.72 Semtech Corporation 7.73 Senet 7.74 Sequans Communications 7.75 Sierra Wireless 7.76 Sigfox 7.77 Silicon Labs (Silicon Laboratories) 7.78 SimpleCell Networks 7.79 Singtel Group 7.80 SK Telecom 7.81 SoftBank Group 7.82 Stream Technologies 7.83 Swisscom 7.84 Tata Communications 7.85 TechPLEX 7.86 Tele2 7.87 Telecom Design 7.88 Telecom Italia 7.89 Telef=F3nica Group 7.90 Telensa 7.91 Telit Communications 7.92 Telkom SA Group 7.93 Telstra 7.94 The Things Network 7.95 TI (Texas Instruments) 7.96 Ubiik 7.97 U-blox 7.98 Verizon Communications 7.99 Vodafone Group 7.100 WAVIoT 7.101 WNC (Wistron NeWeb Corporation) 7.102 Xirgo Technologies 7.103 Xylem 7.104 ZiFiSense =20 Chapter 8: Market Analysis & Forecasts 8.1 Global Outlook of LPWA Networks 8.1.1 LPWA Network Connections 8.1.2 LPWA Network IoT Service Revenue 8.2 Connectivity vs. Application Services 8.2.1 Connectivity Revenue 8.2.2 IoT Application Service Revenue 8.3 Technology Submarket Segmentation 8.3.1 Proprietary LPWA Technologies 8.3.2 NB-IoT 8.3.3 LTE Cat-M1 8.3.4 EC-GSM-IoT 8.4 Vertical Market Segmentation 8.4.1 Agriculture 8.4.2 Asset Management & Logistics 8.4.3 Automotive & Transportation 8.4.4 Consumer Applications & Home Automation 8.4.5 Energy & Utilities 8.4.6 Healthcare 8.4.7 Intelligent Buildings & Infrastructure 8.4.8 Public Safety, Security & Surveillance 8.4.9 Retail & Vending 8.4.10 Others 8.5 Regional Segmentation 8.5.1 Asia Pacific 8.5.2 Eastern Europe 8.5.3 Middle East & Africa 8.5.4 Latin & Central America 8.5.5 North America 8.5.6 Western Europe =20 Chapter 9: Conclusion & Strategic Recommendations 9.1 Why is the Market Poised to Grow=3F 9.2 Competitive Industry Landscape: Acquisitions, Alliances & Consolidation 9.3 Prospects of Licensed Spectrum for LPWA Networks 9.3.1 Uncertainty for Proprietary Technologies 9.3.2 Spectrum Allocation Strategies for NB-IoT, LTE-M and EC-GSM-IoT 9.4 SWOT Analysis: LPWA vs. Competing Technologies 9.5 Geographic Outlook: Which Regions Offer the Highest Growth Potential=3F 9.6 Reducing LPWA Module Costs 9.7 Smart City Infrastructure Projects: Driving LPWA Network Rollouts 9.8 Impact on Mobile Operators: Opportunities & Challenges 9.9 Future Prospects for Proprietary LPWA Technologies 9.1 How Are Vendors Differentiating Their Offerings=3F 9.11 Strategic Recommendations 9.11.1 LPWA Technology Providers 9.11.2 Other Enabling Technology Providers 9.11.3 Mobile Operators 9.11.4 MVNOs & Aggregators 9.11.5 IoT Platform Providers 9.11.6 System Integrators & Vertical Market Specialists =20 List of Figures: =20 Figure 1: The IoT Vision Figure 2: M2M & IoT Network Architecture Figure 3: Global Wide Area M2M Connections by Technology: 2017 =96 2030 (Mi= llions) Figure 4: Telensa=92s Smart Lighting Solution Figure 5: LoRaWAN Architecture Figure 6: Comparison of Weightless Open LPWA Standards Figure 7: Key Performance Characteristics of 3GPP LPWA Technologies Figure 8: NB-IoT Deployment Options Figure 9: LPWA Networks Industry Roadmap Figure 10: LPWA Networks Value Chain Figure 11: Global LPWA Network Connections: 2017 =96 2030 (Millions) Figure 12: Global LPWA Network IoT Service Revenue: 2017 =96 2030 ($ Billio= n) Figure 13: Global LPWA Network IoT Service Revenue by Submarket: 2017 =96 2= 030 ($ Billion) Figure 14: Global LPWA Network Connectivity Revenue: 2017 =96 2030 ($ Billi= on) Figure 15: Global LPWA Network IoT Application Service Revenue: 2017 =96 20= 30 ($ Billion) Figure 16: Global LPWA Network Connections by Technology: 2017 =96 2030 (Mi= llions) Figure 17: Global LPWA Network IoT Service Revenue by Technology: 2017 =96 = 2030 ($ Billion) Figure 18: Global Proprietary LPWA Network Connections: 2017 =96 2030 (Mill= ions) Figure 19: Global Proprietary LPWA Network IoT Service Revenue: 2017 =96 20= 30 ($ Billion) Figure 20: Global NB-IoT Network Connections: 2017 =96 2030 (Millions) Figure 21: Global NB-IoT Network IoT Service Revenue: 2017 =96 2030 ($ Bill= ion) Figure 22: Global LTE Cat-M1 Network Connections: 2017 =96 2030 (Millions) Figure 23: Global LTE Cat-M1 Network IoT Service Revenue: 2017 =96 2030 ($ = Billion) Figure 24: Global EC-GSM-IoT Network Connections: 2017 =96 2030 (Millions) Figure 25: Global EC-GSM-IoT Network IoT Service Revenue: 2017 =96 2030 ($ = Billion) Figure 26: Global LPWA Network Connections by Vertical: 2017 =96 2030 (Mill= ions) Figure 27: Global LPWA Network IoT Service Revenue by Vertical: 2017 =96 20= 30 ($ Billion) Figure 28: Global LPWA Network Connections in Agriculture: 2017 =96 2030 (M= illions) Figure 29: Global LPWA Network IoT Service Revenue in Agriculture: 2017 =96= 2030 ($ Billion) Figure 30: Global LPWA Network Connections in Asset Management & Logistics:= 2017 =96 2030 (Millions) Figure 31: Global LPWA Network IoT Service Revenue in Asset Management & Lo= gistics: 2017 =96 2030 ($ Billion) Figure 32: Global LPWA Network Connections in Automotive & Transportation: = 2017 =96 2030 (Millions) Figure 33: Global LPWA Network IoT Service Revenue in Automotive & Transpor= tation: 2017 =96 2030 ($ Billion) Figure 34: Global LPWA Network Connections in Consumer Applications & Home = Automation: 2017 =96 2030 (Millions) Figure 35: Global LPWA Network IoT Service Revenue in Consumer Applications= & Home Automation: 2017 =96 2030 ($ Billion) Figure 36: Global LPWA Network Connections in Energy & Utilities: 2017 =96 = 2030 (Millions) Figure 37: Global LPWA Network IoT Service Revenue in Energy & Utilities: 2= 017 =96 2030 ($ Billion) Figure 38: Global LPWA Network Connections in Healthcare: 2017 =96 2030 (Mi= llions) Figure 39: Global LPWA Network IoT Service Revenue in Healthcare: 2017 =96 = 2030 ($ Billion) Figure 40: Global LPWA Network Connections in Intelligent Buildings & Infra= structure: 2017 =96 2030 (Millions) Figure 41: Global LPWA Network IoT Service Revenue in Intelligent Buildings= & Infrastructure: 2017 =96 2030 ($ Billion) Figure 42: Global LPWA Network Connections in Public Safety, Security & Sur= veillance: 2017 =96 2030 (Millions) Figure 43: Global LPWA Network IoT Service Revenue in Public Safety, Securi= ty & Surveillance: 2017 =96 2030 ($ Billion) Figure 44: Global LPWA Network Connections in Retail & Vending: 2017 =96 20= 30 (Millions) Figure 45: Global LPWA Network IoT Service Revenue in Retail & Vending: 201= 7 =96 2030 ($ Billion) Figure 46: Global LPWA Network Connections in Other Verticals: 2017 =96 203= 0 (Millions) Figure 47: Global LPWA Network IoT Service Revenue in Other Verticals: 2017= =96 2030 ($ Billion) Figure 48: LPWA Network Connections by Region: 2017 =96 2030 (Millions) Figure 49: LPWA Network IoT Service Revenue by Region: 2017 =96 2030 ($ Bil= lion) Figure 50: Asia Pacific LPWA Network Connections: 2017 =96 2030 (Millions) Figure 51: Asia Pacific LPWA Network IoT Service Revenue: 2017 =96 2030 ($ = Billion) Figure 52: Eastern Europe LPWA Network Connections: 2017 =96 2030 (Millions) Figure 53: Eastern Europe LPWA Network IoT Service Revenue: 2017 =96 2030 (= $ Billion) Figure 54: Middle East & Africa LPWA Network Connections: 2017 =96 2030 (Mi= llions) Figure 55: Middle East & Africa LPWA Network IoT Service Revenue: 2017 =96 = 2030 ($ Billion) Figure 56: Latin & Central America LPWA Network Connections: 2017 =96 2030 = (Millions) Figure 57: Latin & Central America LPWA Network IoT Service Revenue: 2017 = =96 2030 ($ Billion) Figure 58: North America LPWA Network Connections: 2017 =96 2030 (Millions) Figure 59: North America LPWA Network IoT Service Revenue: 2017 =96 2030 ($= Billion) Figure 60: Western Europe LPWA Network Connections: 2017 =96 2030 (Millions) Figure 61: Western Europe LPWA Network IoT Service Revenue: 2017 =96 2030 (= $ Billion) Figure 62: SWOT Matrix: LPWA vs. Competing M2M Networking Technologies Figure 63: Price Breakdown of an LPWA Module =20 Thank you once again and looking forward to hearing from you. =20 Kind Regards =20 Andy Silva Marketing Executive Signals and Systems Telecom andy.silva@snsresearchreports.com =20 =20 To unsubscribe please click on the link below or send an email with unsubsc= ribe in the subject line to: remove@snsreports.com =20