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Telecom and the Financial Services Industry: Optical Networking, Wireless
Networking, and the Role of Redundancy and Recovery in Financial Transactions,
2013-2017
a market research report
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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.
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Report Excerpt
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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..........
Download the Free Executive Summary
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Market Segmentation
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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
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Table of Contents
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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’ętre 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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