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ReportsnReports.com: SON to beat Mobile Network Optimization Revenue by over 20%(M2 PressWIRE Via Acquire Media NewsEdge) ReportsnReports.com offers "The Self-Organizing Networks (SON) Ecosystem: 2014 - 2020" market research report in its store. This latest report indicates that global spending on Self-Organizing Network (SON) technology will account for over $3 Billion annually by the end of 2016. SON minimizes the lifecycle cost of running a wireless carrier network by eliminating manual configuration of equipment at the time of deployment, right through to dynamically optimizing performance and troubleshooting during operation. This can significantly reduce the cost of the carrier's services, improving the OpEx to revenue ratio. Complete report is available at http://www.reportsnreports.com/reports/276915-the-self-organizing-networks-son-ecosystem-2014-2020.html . Amid growing demands for mobile broadband connectivity, wireless carriers are keen to capitalize on SON to minimize rollout delays and operational expenditures associated with their ongoing LTE and small cell deployments. Originally targeted for the Radio Access Network (RAN) segment of wireless carrier networks, SON technology is now also utilized in the mobile core and mobile backhaul segments. Despite challenges relating to implementation complexities and multi-vendor interoperability, SON revenue is expected to grow to more than $3 Billion by the end of 2016, exceeding conventional mobile network optimization revenue by over 20%. The "Self-Organizing Networks (SON) Ecosystem: 2014 - 2020" report profiles 69 companies and presents an in-depth assessment of the SON and associated mobile network optimization ecosystem including key market drivers, challenges, OpEx and CapEx savings potential, use cases, SON deployment case studies, future roadmap, value chain, vendor analysis and strategies. The report also presents revenue forecasts for both SON and conventional mobile network optimization, along with individual projections for 8 SON submarkets from 2014 through to 2020. Historical figures are also presented for 2010, 2011, 2012 and 2013. Order a copy of this report at http://www.reportsnreports.com/Purchase.aspx?name=276915 . The report will be of value to current and future potential investors into the SON and mobile network optimization industry, as well as mobile network optimization solution providers, wireless carriers and infrastructure/device OEMs who wish to broaden their knowledge of the SON ecosystem. Table of Contents for Self-Organizing Networks (SON) Ecosystem: 2014 - 2020 market research report cover: 1 Chapter 1: Introduction 13 1.1 Executive Summary 13 1.2 Topics Covered 15 1.3 Historical Revenue & Forecast Segmentation 16 1.4 Key Questions Answered 17 1.5 Key Findings 18 1.6 Methodology 19 1.7 Target Audience 20 1.8 Companies & Organizations Mentioned 21 2 Chapter 2: SON & Mobile Network Optimization Ecosystem 32 2.1 Conventional Mobile Network Optimization 32 2.1.1 Network Planning 32 2.1.2 Measurement Collection: Drive Tests, Probes and End User Data 33 2.1.3 Post-Processing, Optimization & Policy Enforcement 33 2.2 The Self-Organizing Network (SON) Concept 34 2.2.1 What is SON? 34 2.2.2 The Need for SON 34 2.3 Functional Areas of SON 35 2.3.1 Self-Configuration 36 2.3.2 Self-Optimization 36 2.3.3 Self-Healing 36 2.4 Market Drivers for SON Adoption 37 2.4.1 Continued Wireless Network Infrastructure Investments 37 2.4.2 Optimization in Multi-RAN & HetNet Environments 39 2.4.3 OpEx & CapEx Reduction: The Cost Saving Potential 40 2.4.4 Improving Subscriber Experience and Churn Reduction 41 2.4.5 Power Savings 41 2.4.6 Enabling Small Cell Deployments 41 2.4.7 Traffic Management 42 2.5 Market Barriers for SON Adoption 42 2.5.1 Complexity of Implementation 42 2.5.2 Reorganization & Changes to Standard Engineering Procedures 42 2.5.3 Lack of Trust in Automation 42 2.5.4 Lack of Operator Control: Proprietary SON Algorithms 43 2.5.5 Coordination between Distributed and Centralized SON 43 2.5.6 Network Security Concerns: New Interfaces and Lack of Monitoring 43 3 Chapter 3: SON Technology, Use Cases & Implementation Architectures 44 3.1 Where Does SON Sit Within a Mobile Network? 44 3.1.1 RAN 45 3.1.2 Mobile Core 45 3.1.3 Mobile Backhaul 46 3.1.4 Device-Assisted SON 47 3.2 SON Architecture 48 3.2.1 C-SON (Centralized SON) 48 3.2.2 D-SON (Distributed SON) 49 3.2.3 H-SON (Hybrid SON) 50 3.3 SON Use-Cases 51 3.3.1 Self-Configuration of Network Elements 51 3.3.2 Automatic Connectivity Management 51 3.3.3 Self-Testing of Network Elements 51 3.3.4 Self-Recovery of Network Elements/Software 52 3.3.5 Self-Healing of Board Faults 52 3.3.6 Automatic Inventory 52 3.3.7 ANR (Automatic Neighbor Relations) 52 3.3.8 PCI (Physical Cell ID) Configuration 53 3.3.9 CCO (Coverage & Capacity Optimization) 53 3.3.10 MRO (Mobility Robustness Optimization) 53 3.3.11 MLB (Mobile Load Balancing) 54 3.3.12 RACH (Random Access Channel) Optimization 54 3.3.13 ICIC (Inter-Cell Interference Coordination) 54 3.3.14 eICIC (Enhanced ICIC) 55 3.3.15 Energy Savings 55 3.3.16 Cell Outage Detection & Compensation 55 3.3.17 Self-Configuration & Optimization of Small Cells 56 3.3.18 Optimization of DAS (Distributed Antenna Systems) 56 3.3.19 RAN Aware Traffic Shaping 56 3.3.20 Traffic Steering in HetNets 57 3.3.21 Optimization of Virtualized Network Resources 57 3.3.22 Auto-Provisioning of Backhaul Links 57 3.3.23 Backhaul Bandwidth Optimization 57 3.3.24 Backhaul Interference Management 57 3.3.25 SON Coordination Management 58 3.3.26 Seamless Vendor Infrastructure Swap 58 4 Chapter 4: SON Standardization 59 4.1 NGNM (Next Generation Mobile Networks) Alliance 59 4.1.1 Conception of the SON Initiative 59 4.1.2 Functional Areas and Requirements 60 4.1.3 Implementation Approach 61 4.1.4 P-SmallCell (Project Small Cell) 61 4.1.5 Recommendations for Multi-Vendor SON Deployment 62 4.2 3GPP (Third Generation Partnership Project) 63 4.2.1 Release 8 63 4.2.2 Release 9 64 4.2.3 Release 10 64 4.2.4 Release 11 64 4.2.5 Release 12, 13 & Beyond 65 4.2.6 Implementation Approach 66 5 Chapter 5: SON Deployment Case Studies 67 5.1 AT&T Mobility 67 5.1.1 Vendor Selection & Contract Value 67 5.1.2 Implemented Use Cases 67 5.1.3 Results 67 5.2 SingTel 68 5.2.1 Vendor Selection & Contract Value 68 5.2.2 Implemented Use Cases 68 5.2.3 Results 68 5.3 TIM Brasil 69 5.3.1 Vendor Selection & Contract Value 69 5.3.2 Implemented Use Cases 69 5.3.3 Results 69 5.4 KDDI 70 5.4.1 Vendor Selection & Contract Value 70 5.4.2 Implemented Use Cases 70 5.4.3 Results 70 6 Chapter 6: Industry Roadmap & Value Chain 71 6.1 Industry Roadmap 71 6.1.1 Initial LTE FDD Rollouts with D-SON: 2010 - 2011 71 6.1.2 Rise of the HetNets & C-SON: 2012 - 2013 72 6.1.3 TD-LTE Deployments & Continued SON Proliferation: 2014 - 2016 72 6.1.4 "Software Centric" Networking & QoE/QoS Based SON: 2017 - 2019 73 6.1.5 Start of the 5G Era: 2020 & Beyond 74 6.2 Value Chain 75 6.3 Embedded Technology Ecosystem 76 6.3.1 Chipset Developers 76 6.3.2 Embedded Component/Software Providers 77 6.4 RAN Ecosystem 77 6.4.1 Macrocell RAN OEMs 77 6.4.2 'Pure-Play' and Specialist Small Cell OEMs 78 6.4.3 WiFi Access Point OEMs 79 6.4.4 DAS & Repeater Solution Providers 80 6.4.5 Cloud RAN Solution Providers 81 6.4.6 Other Technology & Network Component Providers/Enablers 82 6.5 Mobile Backhaul Ecosystem 83 6.5.1 Backhaul Solution Providers 83 6.6 Mobile Core Ecosystem 84 6.6.1 Core Network Infrastructure & Software Providers 84 6.7 Connectivity Ecosystem 85 6.7.1 2G, 3G & 4G Wireless Carriers 85 6.7.2 WiFi Connectivity Providers 87 6.7.3 Small Cells as a Service (SCaaS) Providers 87 6.8 SON & Mobile Network Optimization Ecosystem 88 6.8.1 SON Solution Providers 88 6.8.2 Mobile Network Optimization Solution Providers 88 6.9 SDN & NFV Ecosystem 89 6.9.1 SDN & NFV Providers 89 7 Chapter 7: Vendor Landscape 90 7.1 Accedian Networks 90 7.2 Accuver 91 7.3 AIRCOM International (Acquired by TEOCO) 92 7.4 AirHop Communications 93 7.5 Airspan Networks 94 7.6 Alcatel-Lucent 95 7.7 Amdocs 96 7.8 Arcadyan 97 7.9 Argela 98 7.10 Aricent 99 7.11 ARItel 100 7.12 Ascom 101 7.13 Astellia 102 7.14 ATDI 103 7.15 Avvasi 104 7.16 Broadcom 105 7.17 BLiNQ Networks 106 7.18 Cavium 107 7.19 CBNL (Cambridge Broadband Networks Limited) 108 7.20 Cellwize 109 7.21 Celtro 110 7.22 CENTRI 111 7.23 Cisco Systems 112 7.24 Citrix 113 7.25 Comarch 114 7.26 Commsquare 115 7.27 DTM (Datang Mobile) 116 7.28 ECE (European Communications Engineering) 117 7.29 Eden Rock Communications 118 7.30 Ericsson 119 7.31 Forsk 120 7.32 Freescale Semiconductor 121 7.33 Fujitsu 122 7.34 Guavus 123 7.35 Hitachi 124 7.36 Huawei 125 7.37 Intel 126 7.38 InterDigital 127 7.39 InfoVista 128 7.40 JDSU 129 7.41 Lemko 130 7.42 Lavastorm 131 7.43 mimoOn 132 7.44 NEC 133 7.45 NSN (Nokia Solutions & Networks) 134 7.46 Optulink 135 7.47 P.I.Works 136 7.48 Plano Engineering 137 7.49 Qualcomm 138 7.50 Radisys 139 7.51 RADCOM 140 7.52 Reverb Networks 141 7.53 Rohde & Schwarz 142 7.54 Rorotika 143 7.55 Samsung 144 7.56 SEDICOM 145 7.57 Siklu 146 7.58 SpiderCloud Wireless 147 7.59 Tarana Wireless 148 7.60 Tektronix Communications 149 7.61 Tellabs 150 7.62 TEOCO 151 7.63 Texas Instruments 152 7.64 Theta Networks 153 7.65 TTG International 154 7.66 Tulinx 155 7.67 WebRadar 156 7.68 Xceed Technologies 157 7.69 ZTE 158 8 Chapter 8: Market Analysis & Forecasts 159 8.1 SON & Mobile Network Optimization Revenue 159 8.2 SON Revenue 160 8.3 SON Revenue by Submarket 161 8.3.1 SON in Macrocell RAN 162 8.3.2 SON in HetNet/Small Cell RAN 162 8.3.3 SON in Mobile Core 163 8.3.4 SON in Mobile Backhaul 163 8.4 SON Revenue by Architecture: Centralized vs. Distributed 164 8.4.1 C-SON 165 8.4.2 D-SON 165 8.5 SON Revenue by Wireless Network Generation: 2G/3G vs. 4G 166 8.5.1 2G/3G SON 167 8.5.2 4G SON 167 8.6 SON Revenue by Region 168 8.7 Conventional Mobile Network Planning & Optimization Revenue 169 8.8 Conventional Mobile Network Planning & Optimization Revenue by Region 170 8.9 Asia Pacific 171 8.9.1 SON 171 8.9.2 Conventional Mobile Network Planning & Optimization 171 8.10 Eastern Europe 172 8.10.1 SON 172 8.10.2 Conventional Mobile Network Planning & Optimization 172 8.11 Latin & Central America 173 8.11.1 SON 173 8.11.2 Conventional Mobile Network Planning & Optimization 173 8.12 Middle East & Africa 174 8.12.1 SON 174 8.12.2 Conventional Mobile Network Planning & Optimization 174 8.13 North America 175 8.13.1 SON 175 8.13.2 Conventional Mobile Network Planning & Optimization 175 8.14 Western Europe 176 8.14.1 SON 176 8.14.2 Conventional Mobile Network Planning & Optimization 176 9 Chapter 9: Conclusion & Strategic Recommendations 177 9.1 Moving Towards QoE Based SON Platforms 177 9.2 Capitalizing on DPI (Deep Packet Inspection) 177 9.3 The Convergence of Big Data Analytics & SON 178 9.4 SON for NFV & SDN: The Push from Wireless Carriers 178 9.5 Moving Towards Mobile Core and Backhaul 179 9.6 Assessing the Impact of SON on Optimization & Field Engineers 179 9.7 SON Associated OpEx Savings: The Numbers 181 9.8 What SON Capabilities Will 5G Networks Entail? 182 9.9 The C-SON Versus D-SON Debate 182 9.10 Strategic Recommendations 184 9.10.1 SON & Conventional Mobile Network Optimization Solution Providers 184 9.10.2 Wireless Infrastructure OEMs 185 9.10.3 Wireless Carriers 186 List of Figures Figure 1: Functional Areas of SON with the Mobile Network Lifecycle 35 Figure 2: Annual Global Throughput of Mobile Network Data Traffic by Region: 2010 - 2020 (Exabytes) 37 Figure 3: Global Wireless Network Infrastructure Revenue by Submarket: 2010 - 2020 ($ Million) 38 Figure 4: Global Mobile Network Data Traffic Distribution by Access Network Form Factor: 2010 - 2020 (%) 39 Figure 5: SON Associated OpEx & CapEx Savings by Network Segment 40 Figure 6: Potential Areas of SON Implementation 44 Figure 7: Mobile Backhaul Segmentation by Technology 46 Figure 8: C-SON (Centralized SON) in a Wireless Carrier Network 48 Figure 9: D-SON (Distributed SON) in a Wireless Carrier Network 49 Figure 10: H-SON (Hybrid SON) in a Wireless Carrier Network 50 Figure 11: NGNM SON Use Cases 60 Figure 12: The Wireless Network Infrastructure Industry Roadmap: 2014 - 2020 71 Figure 13: The Wireless Network Infrastructure Value Chain 75 Figure 14: Embedded Technology Ecosystem Players 76 Figure 15: Macrocell RAN Ecosystem Players 77 Figure 16: Specialist Small Cell RAN Ecosystem Players 78 Figure 17: Carrier WiFi Ecosystem Players 79 Figure 18: DAS & Repeater Ecosystem Players 80 Figure 19: Cloud RAN Ecosystem Players 81 Figure 20: Mobile Backhaul Ecosystem Players 83 Figure 21: Mobile Core Ecosystem Players 84 Figure 22: List of LTE Trials & Deployments 86 Figure 23: SON & Mobile Network Optimization Ecosystem Players 88 Figure 24: SDN & NFV Ecosystem Players 89 Figure 25: Global SON & Mobile Network Optimization Revenue: 2010 - 2020 ($ Million) 159 Figure 26: Global SON Revenue: 2010 - 2020 ($ Million) 160 Figure 27: Global SON Revenue by Submarket: 2010 - 2020 ($ Million) 161 Figure 28: Global Macrocell RAN SON Revenue: 2010 - 2020 ($ Million) 162 Figure 29: Global Small Cell RAN SON Revenue: 2010 - 2020 ($ Million) 162 Figure 30: Global Mobile Core SON Revenue: 2010 - 2020 ($ Million) 163 Figure 31: Global Mobile Backhaul SON Revenue: 2010 - 2020 ($ Million) 163 Figure 32: Global SON Revenue by Architecture: 2010 - 2020 ($ Million) 164 Figure 33: Global C-SON Revenue: 2010 - 2020 ($ Million) 165 Figure 34: Global D-SON Revenue: 2010 - 2020 ($ Million) 165 Figure 35: Global SON Revenue by Wireless Network Generation: 2010 - 2020 ($ Million) 166 Figure 36: Global 2G/3G SON Revenue: 2010 - 2020 ($ Million) 167 Figure 37: Global 4G SON Revenue: 2010 - 2020 ($ Million) 167 Figure 38: SON Revenue by Region: 2010 - 2020 ($ Million) 168 Figure 39: Global Conventional Mobile Network Planning & Optimization Revenue: 2010 - 2020 ($ Million) 169 Figure 40: Conventional Mobile Network Planning & Optimization Revenue by Region: 2010 - 2020 ($ Million) 170 Figure 41: Asia Pacific SON Revenue: 2010 - 2020 ($ Million) 171 Figure 42: Asia Pacific Conventional Mobile Network Planning & Optimization Revenue: 2010 - 2020 ($ Million) 171 Figure 43: Eastern Europe SON Revenue: 2010 - 2020 ($ Million) 172 Figure 44: Eastern Europe Conventional Mobile Network Planning & Optimization Revenue: 2010 - 2020 ($ Million) 172 Figure 45: Latin & Central America SON Revenue: 2010 - 2020 ($ Million) 173 Figure 46: Latin & Central America Conventional Mobile Network Planning & Optimization Revenue: 2010 - 2020 ($ Million) 173 Figure 47: Middle East & Africa SON Revenue: 2010 - 2020 ($ Million) 174 Figure 48: Middle East & Africa Conventional Mobile Network Planning & Optimization Revenue: 2010 - 2020 ($ Million) 174 Figure 49: North America SON Revenue: 2010 - 2020 ($ Million) 175 Figure 50: North America Conventional Mobile Network Planning & Optimization Revenue: 2010 - 2020 ($ Million) 175 Figure 51: Western Europe SON Revenue: 2010 - 2020 ($ Million) 176 Figure 52: Western Europe Conventional Mobile Network Planning & Optimization Revenue: 2010 - 2020 ($ Million) 176 Figure 53: SON Associated OpEx Savings by Region: 2010 - 2020 ($ Million) 181 About Us: ReportsnReports.com is an online market research reports (http://www.reportsnreports.com/ ) library of 400,000+ in-depth studies of over 5000 micro markets. 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