市場調査レポート

通信および金融サービス産業:金融トランザクションにおける光ネットワーキング、ワイヤレスネットワーキング、および冗長性&復旧の役割

Telecom and the Financial Services Industry: Optical Networking, Wireless Networking, and the Role of Redundancy and Recovery in Financial Transactions, 2013-2018

発行 Insight Research Corporation 商品コード 242056
出版日 ページ情報 英文
納期: 即日から翌営業日
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通信および金融サービス産業:金融トランザクションにおける光ネットワーキング、ワイヤレスネットワーキング、および冗長性&復旧の役割 Telecom and the Financial Services Industry: Optical Networking, Wireless Networking, and the Role of Redundancy and Recovery in Financial Transactions, 2013-2018
出版日: 2013年01月28日 ページ情報: 英文
概要

当レポートでは、金融分野におけるデータストレージ、セキュリティおよびインテグリティにおいて通信が果たす役割について調査し、地域別の市場分析、タイプ・地域別による金融サービス企業の収益、モバイルフィナンシャルユーザーおよびソリューションタイプ別の分析などをまとめ、概略以下の構成でお届けいたします。

第1章 エグゼクティブサマリー

第2章 金融分野における特徴的な通信利用例の分析

  • イントロダクション
  • 本調査対象の収益機会
  • 金融サービス分野における通信導入の特徴的な利用例
  • アルゴリズム的取引・低遅延(ローレイテンシー)ネットワーク
  • 災害復旧
  • モバイルバンキング・株取引
  • モバイル近接
  • モバイル資金振替

第3章 実例となるケーススタディ

  • アルゴリズム的取引
  • アルゴリズム的取引:Interoute
  • アルゴリズム的取引:Allied Fiber
  • アルゴリズム的取引:NeXXCom
  • アルゴリズム的取引:Cielo Networks
  • アルゴリズム的取引:Infinera
  • 災害復旧:The National Stock Exchange, ムンバイ
  • モバイルバンキング:China Construction Bank (中国本土・香港)
  • モバイル近接:Coles Supermarket (オーストラリア)
  • モバイル資金振替:Airtel Money

第4章 主要企業の分類・分析

  • 分類の基本・主要企業のカテゴリー
  • 主要企業のプロファイル
  • Adva
  • Airtel
  • AlgoSpan
  • Allied Fiber
  • Brocade
  • British Telecommunications
  • Ciena
  • Cielo Networks
  • Cisco
  • DonRiver
  • EMC
  • EnStage
  • Equinix
  • Google
  • Infinera
  • Level 3
  • MasterCard
  • NTT・NTTドコモ
  • NXP
  • hSenid
  • Obopay
  • Savvis
  • Verizon
  • Vodafone
  • Vtesse
  • Wipro

第5章 定量的予測

  • 調査予測の分類
  • 調査手法
  • 市場予測
  • バンキングおよびその他の非株式金融サービス企業
  • 株式金融サービス企業
  • モバイルバンキングおよび株取引ユーザー
  • モバイル近接ユーザー
  • モバイル資金振替ユーザー
  • 本レポートで言及した各企業の収益機会の詳細

図表

目次

Abstract

While the sanctity of transactional data is important to every vertical industry, it assumes critical significance in the banking and financial vertical. Over the years, banks, Wall Street investment firms, insurance companies, and other financial institutions have led the way in securing their networks by establishing sound business continuity practices and have also made the huge investments necessary to ensure safe data transport and management. As telecommunication provides the backbone of the data management architecture, the robustness of telecom topology is critical in determining the effectiveness of the financial industry - s business continuity practices.

Data recovery during outages has acquired the shape of a distinct market. This report examines the role played by telecommunications in facilitating data storage, security and integrity in the financial domain. This study will cover market sizes for relevant metrics such as disaster recovery applications, hosting services, security management, backup and storage management, load balancing, storage area networks as well as wireless and wireline traffic and revenues associated with data recovery through resource redundancy in the finance domain.

Report Excerpt

1.1 Financial Applications

Over the past two decades, the Wall Street investment community of banks, insurance companies, and other financial institutions have been pioneers in developing telecommunications systems and practices that ensure the accuracy, reliability, and security of financial transactions. The industry has led the way in making the investments necessary to ensure safe data transport and management. As telecommunications provide the backbone of the data management architecture, the robustness of telecom topology is critical in determining the effectiveness of the financial industry - s business continuity practices.

To understand the dynamics of these telecommunications networks, this report provides a review of the financial applications that are heavily dependent on telecommunications networks and equipment. The applications and use-cases are unique to the finance domain and involve extensive application of telecommunications technology and business processes. These use-cases present strong revenue opportunities for..........

Market Segmentation

By Global Region

  • North America
  • Europe, Mid-East, Africa
  • Asia-Pacific
  • Caribbean and Latin America.

Revenue from Financial Services Companies by Type, By Region

  • Banking & Non-Stock Brokering Companies Revenue, By Region
    • Connectivity
      • Wireline
      • Wireless
    • Equipment
    • Hosting services
  • Stock Brokering Revenue, By Region
    • Connectivity
      • Wireline
      • Wireless
    • Equipment
    • Hosting services

Mobile Financial Users

  • Mobile Banking Revenue, By Region
    • Connectivity
    • Client Applications
  • Stock Trading Revenue, By Region
    • Connectivity
    • Client Applications
  • Mobile Proximity Revenue, By Region
    • Connectivity
    • Client Applications
  • Mobile Funds Transfers Revenue, By Region
    • Connectivity
    • Client Applications

By Solution Type

  • Connectivity
    • Wireline from Financial Institutions
    • Optical Fiber
      • 1g and less
      • 1g-10g
      • 40g
      • 100g
    • Others
    • Wireless from Financial Institutions
    • Backbone and backhaul
    • Cellular access
    • Wireless from Mobile Subscribers
  • Financial Services Customer Premise Equipment
  • Mobile Financial Services User Application
  • Financial Services Customer Hosting Services

Table of Contents

Chapter I EXECUTIVE SUMMARY

  • 1.1 Financial Applications
  • 1.2 Financial Ecosystem
  • 1.3 Telecom Segments
  • 1.4 Industry Players
  • 1.5 Market Forecast

Chapter II ANALYSIS OF DISTINCTIVE TELECOM USE-CASES IN THE FINANCE DOMAIN

  • 2.1 Introduction
    • 2.1.1 Multiple Levels of Engagement
  • 2.2 Revenue Opportunities Covered in This Report
    • 2.2.1 Financial Services Companies
    • 2.2.2 Mobile Financial Users 13
  • 2.3 Distinctive Use Cases of Telecom Deployment in Financial Services Domain
    • 2.3.1 Correlation Between the Use Cases and the Forecasts
  • 2.4 Algorithmic Trading and Low Latency Networks
    • 2.4.1 Introduction
    • 2.4.2 Value Added by Algorithmic Trading
    • 2.4.3 Modus Operandi
    • 2.4.4 Optical Fibers - The Traditional Ushers of Algorithmic Trading
    • 2.4.5 Dispersion and Its Implications to the Finance Domain
    • 2.4.6 Microwave - The Promising Contender
    • 2.4.7 Optical Fiber versus Microwave - A Comparison
    • 2.4.8 Challenges
  • 2.5 Disaster Recovery
    • 2.5.1 Introduction
    • 2.5.2 Backup - The Raison D' être and Modus Operandi of DR
    • 2.5.3 Storage Area Networks - The Ultimate Data Replication Engines
    • 2.5.4 Load Balancing - Putting DR into Action
    • 2.5.5 Secure Hosting and Data Centers
    • 2.5.6 Challenges
  • 2.6 Mobile Banking and Stock Trading
    • 2.6.1 Introduction to Mobile Banking
    • 2.6.2 Modus Operandi of Mobile Banking
    • 2.6.3 Introduction to Mobile Stock Trading
    • 2.6.4 Modus Operandi of Mobile Stock Trading
    • 2.6.5 Challenges
  • 2.7 Mobile Proximity
    • 2.7.1 Introduction
    • 2.7.2 Modus Operandi
    • 2.7.3 Challenges
  • 2.8 Mobile Fund Transfer
    • 2.8.1 Modus Operandi
    • 2.8.2 Challenges

Chapter III ILLUSTRATIVE CASE STUDIES

  • 3.1 Algorithmic Trading
  • 3.2 Algorithmic Trading - Interoute
  • 3.3 Algorithmic Trading - Allied Fiber
  • 3.4 Algorithmic Trading - NeXXCom
  • 3.5 Algorithmic Trading - Cielo Networks
  • 3.6 Algorithmic Trading - Infinera
  • 3.7 Disaster Recovery - The National Stock Exchange, Mumbai
    • 3.7.1 Introduction
    • 3.7.2 Service Details
    • 3.7.3 Epilogue
  • 3.8 Mobile Banking - China Construction Bank (Mainland and Hong Kong)
    • 3.8.1 Introduction
    • 3.8.2 Service Details
    • 3.8.3 Epilogue
  • 3.9 Mobile Proximity - Coles Supermarket Australia
    • 3.9.1 Introduction
    • 3.9.2 Service Details
    • 3.9.3 Epilogue
  • 3.10 Mobile Fund Transfer - Airtel Money
    • 3.10.1 Introduction
    • 3.10.2 Service Details
    • 3.10.3 Epilogue

Chapter IV CLASSIFICATION AND ANALYSIS OF MAJOR PLAYERS

  • 4.1 Basis for Classification and Key Company Categories
    • 4.1.1 Wireline Infrastructure Equipment Makers
    • 4.1.2 Wireless Infrastructure Equipment Makers
    • 4.1.3 Composite Equipment Vendors
    • 4.1.4 Wireline Telcos
    • 4.1.5 Wireless Telcos
    • 4.1.6 Composite Telcos
    • 4.1.7 Data Center Operators
    • 4.1.8 Handset Application Developers
    • 4.1.9 Handset Makers and Platform Owners
    • 4.1.10 Hardware and Software Developers
    • 4.1.11 Chipset Makers
    • 4.1.12 S ystem and Network Integrators
    • 4.1.13 Financial Services Companies and Intermediaries
  • 4.2 Key Company Profiles
  • 4.3 Adva
    • 4.3.1 Introduction
    • 4.3.2 Role Played in the Financial Sector
    • 4.3.3 Analysis and Prospects
  • 4.4 Airtel
    • 4.4.1 Introduction
    • 4.4.2 Role Played in the Financial Sector
    • 4.4.3 Analysis and Prospects
  • 4.5 AlgoSpan
    • 4.5.1 Introduction
    • 4.5.2 Role Played in the Financial Sector
    • 4.5.3 A nalysis and Prospects
  • 4.6 Allied Fiber
    • 4.6.1 Introduction
    • 4.6.2 Role Played in the Financial Sector
    • 4.6.3 Analysis and Prospects
  • 4.7 Brocade
    • 4.7.1 Introduction
    • 4.7.2 Role Played in the Financial Sector
    • 4.7.3 Analysis and Prospects
  • 4.8 British Telecommunications
    • 4.8.1 Introduction
    • 4.8.2 Role Played in the Financial Sector
    • 4.8.3 Analysis and Prospects
  • 4.9 Ciena
    • 4.9.1 Introduction
    • 4.9.2 Role Played in the Financial Sector
    • 4.9.3 Analysis and Prospects
  • 4.10 Cielo Networks
    • 4.10.1 Introduction
    • 4.10.2 Role Played in the Financial Sector
    • 4.10.3 Analysis and Prospects
  • 4.11 Cisco
    • 4.11.1 Introduction
    • 4.11.2 Role Played in the Financial Sector
    • 4.11.3 Analysis and Prospects
  • 4.12 DonRiver
    • 4.12.1 Introduction
    • 4.12.2 Role played in the financial sector
    • 4.12.3 Analysis and Prospects
  • 4.13 EMC
    • 4.13.1 Introduction
    • 4.13.2 Role Played in the Financial Sector
    • 4.13.3 Analysis and Prospects
  • 4.14 EnStage
    • 4.14.1 Introduction
    • 4.14.2 Role Played in the Financial Sector
    • 4.14.3 Analysis and Prospects
  • 4.15 Equinix
    • 4.15.1 Introduction
    • 4.15.2 Role Played in the Financial Sector
    • 4.15.3 Analysis and Prospects
  • 4.16 Google
    • 4.16.1 Introduction
    • 4.16.2 Role Played in the Financial Sector
    • 4.16.3 Analysis and Prospects
  • 4.17 Infinera
    • 4.17.1 Introduction
    • 4.17.2 Role Played in the Financial Sector
    • 4.17.3 Analysis and Prospects
  • 4.18 Level 3
    • 4.18.1 Introduction
    • 4.18.2 Role Played in the Financial Sector
    • 4.18.3 Analysis and Prospects
  • 4.19 MasterCard
    • 4.19.1 Introduction
    • 4.19.2 Role Played in the Financial Sector
    • 4.19.3 Analysis and Prospects
  • 4.20 Nippon Telegraph and Telephone (NTT) and NTT DoCoMo
    • 4.20.1 Introduction
    • 4.20.2 Role Played in the Financial Sector
    • 4.20.3 Analysis and Prospects
  • 4.21 NXP
    • 4.21.1 Introduction
    • 4.21.2 Role Played in the Financial Sector
    • 4.21.3 Analysis and Prospects
  • 4.22 hSenid
    • 4.22.1 Introduction
    • 4.22.2 Role Played in the Financial Sector
    • 4.22.3 Analysis and Prospects
  • 4.23 Obopay
    • 4.23.1 Introduction
    • 4.23.2 Role Played in the Financial Sector
    • 4.23.3 Analysis and Prospects
  • 4.24 Savvis
    • 4.24.1 Introduction
    • 4.24.2 Role Played in the Financial Sector
    • 4.24.3 Analysis and Prospects
  • 4.25 Verizon
    • 4.25.1 Introduction
    • 4.25.2 Role Played in the Financial Sector
    • 4.25.3 Analysis and Prospects
  • 4.26 Vodafone
    • 4.26.1 Introduction
    • 4.26.2 Role Played in the Financial Sector
    • 4.26.3 Analysis and Prospects
  • 4.27 Vtesse
    • 4.27.1 Introduction
    • 4.27.2 Role Played in the Financial Sector
    • 4.27.3 Analysis and Prospects
  • 4.28 Wipro
    • 4.28.1 Introduction
    • 4.28.2 Role Played in the Financial Sector
    • 4.28.3 Analysis and Prospects

Chapter V QUANTITATIVE FORECASTS

  • 5.1 Taxonomy of Research Forecasts
    • 5.1.1 Customer Segments
    • 5.1.2 Identification of Usage Measures
    • 5.1.3 Regional Financial Markets and Telecom Trends
  • 5.2 Research Methodology
    • 5.2.1 Market Model for Financial Services Companies
    • 5.2.2 Market Model for Mobile Financial Users
  • 5.3 Market Forecast
    • 5.3.1 The Larger Picture
    • 5.3.2 Breakdown by Customer Type
    • 5.3.3 Breakdown by Solution Type
    • 5.3.4 Breakdown by Connectivity - The Primary Revenue Opportunity for Telcos
    • 5.3.5 Breakdown by Region
  • 5.4 Banking and Other Non-stock-broking Financial Services Companies
  • 5.5 Stock-Broking Financial Services Companies
  • 5.6 Mobile Banking and Stock Trading Users
  • 5.7 Mobile Proximity Users
  • 5.8 Mobile Fund Transfer Users
  • 5.9 Details of Revenue Opportunity for Individual Companies Profiled in this Report

Table of Figures

Chapter I

  • I-1 Mobile Payment Infrastructure
  • I-2 Low Latency Trading Networks
  • I-3 Global Financial Services & Equipment Revenue

Chapter II

  • II-1 Low Attenuation Windows
  • II-2 Typical SAN topology
  • II-3 Schematic of the SMS, USSD and WAP-Based Mobile Banking Solution
  • II-4 Nokia Handset with the iWin Stock Broking Client from Financial Technologies
  • II-5 Schematic of Mobile Payment Infrastructure
  • II-6 Mobile Fund Transfer Solution Offered by Obopay

Chapter III

  • III-1 System Architecture of NSE

Chapter IV

  • IV-1 Cisco in Algorithmic Trading
  • IV-2 ACCOSA from EnStage
  • IV-3 Obopay Mobile Financial Application Ecosystem

Chapter V

  • V-1 Taxonomy of Research Forecast
  • V-2 Financial Services Revenue Opportunity, 2012-2017
  • V-3 Financial Services Revenue Opportunity, by Customer Type
  • V-4 Taxonomy of Connectivity Research Forecast

Table of Tables

Chapter II

  • I-1 Telecommunications Revenue Segments
  • I-2 Telecommunications Industry Players

Chapter II

  • II-1 Use-Cases and Associated Revenue Opportunities
  • II-2 Global Mobile Banking and Stock Trading Wireless Subscribers by Region
  • II-3 Global Mobile Banking and Stock Trading Wireless Subscribers by Region
  • II-4 Global Mobile Banking and Stock Trading Wireless Subscribers by Region
  • II-5 Global Mobile Proximity Wireless Subscribers by Region
  • II-6 Global Mobile Fund Transfer Wireless Subscribers by Region

Chapter III

  • III-1 Use Cases and Associated Revenue Opportunities
  • III-2 NeXXCom Wireless versus Fiber
  • III-3 New Jersey Metro Connection Speed by NeXXCom MAN

Chapter IV

  • IV-1 Stakeholder Categories and Associated Revenue Opportunities
  • IV-2 Stakeholder Categories of Companies Analyzed in the Report

Chapter V

  • V-1 Financial Services Revenue Opportunity, by Solution Type
  • V-2 Connectivity Revenue Opportunity, by Source
  • V-3 Wireline Connectivity Revenues, by Media
  • V-4 Optical Fiber Connectivity Revenues, by Data Transfer Speed
  • V-5 Wireless Connectivity Revenues, by Stage
  • V-6 Wireless Cellular Access Connectivity, by Data Transfer Speed
  • V-7 Financial Services Revenue Opportunity, by Region
  • V-8 Overall Rev. Opp. for Banking and Other Non-stock-broking Fin. Services Comp.
  • V-9 Connectivity Rev. Opp.from Banking & Other Non-stock-broking Fin. Services Comp.
  • V-10 Connectivity Rev. Opp. from Global Banking & Other Non-stock-broking Fin. Services Comp.
  • V-11 Wireline Conn. Rev. Opp. from Global Bank. & Other Non-stock-broking Fin. Serv. Comp.
  • V-12 Wireless Conn. Rev. Opp. from Global Bank & Other Non-stock-Broking Fin. Serv. Comp.
  • V-13 Customer Premise Equip. Rev. Opp. from Global Bank & Non-stock-broking Fin. Serv. Comp.
  • V-14 Hosting Serv. Rev. Opp. from Global Bank & Other Non-stock-broking Fin. Serv. Comp.
  • V-15 Rev. Opp. for Telecom Stakeholders from Stock-broking Fin.Services Comp.,
  • V-16 Connectivity Rev. Opp. from Global Stock-broking Financial Services Comp., by Media
  • V-17 Connectivity Rev. Opp. from Global Stock-broking Financial Services Comp., by Region
  • V-18 Wireline Connectivity Rev. Opp. from Global Stock-broking Fin. Services Companies
  • V-19 Wireless Connectivity Rev. Opp. from Global Stock-Broking Fin. Services Comp.
  • V-20 Customer Premise Equipment Rev. Opp. from Global Stock-broking Fin. Services Comp.
  • V-21 Hosting Services Rev. Opp. from Global Stock-broking Financial Services Comp.
  • V-22 Rev. Opp. from Global Mobile Banking and Stock Trading Users, by Category
  • V-23 Rev. Opp. from Global Mobile Banking Users, by Category
  • V-24 Rev. Opp. from Global Mobile Stock Trading Users, by Category
  • V-25 Connectivity Rev. Opp. from Global Mobile Banking and Stock Trading Users
  • V-26 Connectivity Rev.Opp. from Global Mobile Banking Users, by Region
  • V-27 Connectivity Rev. Opp. from Global Mobile Stock Trading Users, by Region
  • V-28 Application Rev. Opp. from Global Mobile Banking and Stock Trading Users
  • V-29 Application Rev. Opp. from Global Mobile Banking Users, by Region
  • V-30 Application Rev. Opp. from Global Mobile Stock Trading Users, by Region
  • V-31 Rev. Opp. from Global Mobile Proximity Users, by Category
  • V-32 Connectivity Revenue Opportunity from Global Mobile Proximity Users
  • V-33 Application Revenue Opportunity from Global Mobile Proximity Users
  • V-34 Revenue Opportunity from Global Mobile Fund Transfer Users, by Category
  • V-35 Connectivity Rev. Opportunity from Global Mobile Fund Transfer Users
  • V-36 Application Revenue Opportunity from Global Mobile Fund Transfer Users
  • V-37 Revenue Streams for Individual Companies
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