Computing, Content, Applications, and Commerce in the Cloud: Legacy Network Operator Threats and Opportunities

Migration to the cloud will affect more than just IT outsourcing of datacenters. Cloud represents opportunities and threats to existing network operators as applications, content, commerce, and computing migrate to the cloud. Game changing technologies including 4G, IP Multimedia Subsystem, and cloud computing will transform wireless communications. This transformation will be a boon for some who recognize and seize the opportunities and a bane for others who do not adjust their strategies, products and solutions.

This report evaluates the key technologies, solutions, applications and companies expected to benefit from this evolution. This research also evaluates threats and opportunities for incumbent network operators and service providers. It is imperative that they take steps now to position themselves for these significant changes in Computing, Content, Applications and Commerce (CCAC) as their existing revenue streams and future profitability will depend on successful positioning and execution.

This research focuses on CCAC in the Cloud, evaluating the impacts on infrastructure planning, application deployment, facilitation of emerging solutions, competitive threats, and more.

It is essential research for all telecommunications service providers including legacy wireline, cellular, fixed wireless (WiFi/WiMAX/others), MSO/cable, emerging OTT players, and others. The report analyzes the business impacts of migration as well as leading applications, competitive issues, case study analysis of players/applications, infrastructure, and the future of CCAC in the Cloud.

Target Audience:

  • Mobile network operators
  • Wireless service providers of all types
  • Wireless/mobile infrastructure providers
  • Mobile commerce application providers
  • Cloud infrastructure and service providers

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 Executive Summary
2.0 Everything In The Cloud
2.1.1 Computing
2.1.2 Case Study: How To Use Grid Computing To Save It Costs
2.1.3 Transaction Systems
2.1.4 Deploying Cloud Computing
2.1.5 Cloud Formation
2.1.6 Case Study 2: Cloud And The Return On Investment (Roi)
2.1.7 Content
2.1.8 Applications
2.1.9 Software As A Service (Saas )
2.1.10 Platform As A Service (Paas )
2.1.11 Infrastructure As A Service (Iaas )
2.1.12 Commerce
2.2 Cloud Solutions
2.2.1 Companies
2.3 Cloud Computing And The Transformation Of Google Mobile Apps
2.3.1 Gfs Ii
2.3.2 Bigtable
2.3.3 Mapreduce
2.3.4 Memcache
2.3.5 Appengine
2.4 Google Business Model And Cloud Strategy
2.4.1 Market Strategy
2.5 Google Apps Marketplace And Mobile Applications
2.5.1 Google Clouds
2.5.2 Economic Of The Cloud And Its Benefits For Google
2.5.3 Swot Analysis For Google Cloud Services
2.5.4 Google Mobile Clouds Potentials In The Mobile Commerce Industry
2.6 Nfc Payment Vs Cloud-based Payments
2.6.1 Isis Wallet
2.6.2 Google Wallet And Its Swot Analysis
2.6.3 Google Wallet Challenges And How To Overcome It
2.6.4 Paypal And Google Wallet
2.6.5 Visa Wallet And Its Swot Analysis
2.6.6 Serve By American Express E-wallet And Its Swot Analysis
2.6.7 Google Wallet Verses Isis Wallet
2.6.8 Comparison Between Current Wallet Systems
2.6.9 Advantages Of The M-payments Systems
2.7 Mobile Payments Market 2012-2017
2.8 Mobile Payments In The Cloud
2.8.1 Mobile Devices In The Cloud
2.8.2 Cloud-based Mobile Payment
2.8.3 Paypal Cloud Based Mobile Payment
2.8.4 Google Vs Amazon As A Cloud Service Provider:
2.8.5 Hp To Penetrate The Cloud Market
2.8.6 Case Studies
2.8.7 Case Study 4
2.9 Google Cloud Telephony
2.10 Google Telephony: Cloud And Applications
2.10.1 Google In The Cloud: Potential Network Advantages
2.10.2 Google In The Cloud: Incumbent Network Operator Implications
2.10.3 Google Applications As A Platform To Incumbent Operators’ Networks
3.0 Evolution Of Cloud Services And The Role Of Network Operators
3.1 Cloud Architectures
3.2 Clouds Technologies
3.3 Cloud-based Service Implementation
3.3.1 For It Providers
3.3.2 For Developers
3.3.3 For Business
3.3.4 Case Study: Pixar
3.3.5 For Consumer Use
3.3.6 For Government Use
3.3.7 Cloud To Cloud Calling Party Pays (Cpp)
3.4 Anticipated Trends, Applications, And Patents
4.0 New Challenges And Opportunities
4.1 Opportunities
4.2 Mobile Clouds
4.2.1 Case Study: Ibm Social Software On Mobile
4.2.2 The Role Of Incumbent Network Operators In Mobile Cloud
4.3 Next Generation Networks And Lte
4.4 Sdp
4.4.1 Business And Technology Drivers For Ims
4.5 Business And Technology Challenges For Ims
4.5.1 Supporting Legacy Operators
4.5.2 Benefits Of Sdp
4.5.3 Sdp Case Studies
4.5.4 Sdp Implementation – Bharti Airtel
4.5.5 Sdp As A Progression To Ims
4.5.6 Sdp Challenges
4.6 Sdp Vendor Analysis
4.6.1 Telecom Network Infrastructure Vendors
4.6.2 Key Players And Their Strategies
4.7 Ip Multimedia Subsystem (Ims)
4.7.1 Role Of Ims In Mitigating The Limitations Of Conventional Wireline And Wireless Architectures
4.7.2 Challenges For Ims
4.7.3 Market And Technology Drivers For Ims
4.7.4 Ims Supports The Drive To A Next Generation Network (Ngn)
4.7.5 Market Driver: Need For More Revenue And Better Margins
4.8 Presence
4.9 Ims And Sdp In The Cloud
4.10 Devices
4.11 Mobile Handsets
4.11.1 2g Handsets
4.12 3g Handsets
4.12.1 Voip Over Lte
4.12.2 Mobile Ip
4.12.3 The Migration From Ipv4 To Ipv6
4.13 4g Handsets
4.13.1 3gpp Lte And 4g Handsets
4.13.2 Differences Between 3g And 4g Systems
4.14 Tablets
4.14.1 Ipad From Apple
4.14.2 Motorola Xoom
4.14.3 Galaxy Tab
4.14.4 LG G-slate
4.14.5 Future Of The Tablets
4.14.6 Conclusion On Tablets
4.15 Analysis On Handset (Os Developments)
4.15.1 Android Os
4.15.2 Blackberry
4.15.3 Ios
4.15.4 .Net Compact Framework
4.15.5 Brew
4.15.6 Pocket Pc And Microsoft Smart Phone
4.15.7 Palm Os
4.15.8 LG, Samsung, Motorola & Sony-ericsson
4.15.9 Att, Verizon Wireless & Sprint
4.15.10 Analysis Of Developer Support Programs
4.15.11 Swot Analysis By Phone/Manufacturer
4.15.12 Java Me
4.15.13 Symbian
5.0 Forecast 2011-2017
6.0 Legacy Operators
6.1 Legacy Operators In The Cloud’s Value Chain
6.1.1 Telecom As A Cloud Service Provider
7.0 Summary And Recommendations
7.1 For Cloud Providers

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