Cloud Application Marketplace 2013 - 2018

Cloud Application Marketplace 2013 - 2018

There are thousands of cloud applications in the market that are offered by hundreds of vendors. To gain a competitive advantage in the cloud applications market, companies are collaborating in the development and/or delivery of solutions that solve enterprise problems, optimize operations, improve customer relations and services delivery. Many of these solutions rely upon open APIs for access to hybrid enterprise/telephony cloud-based applications. This trend is expected to accelerate as the lower cost of cloud application operations is a significant deployment factor.

At the consumer user level, the global cloud applications marketplace is driven largely by the increasing adoption of a variety of mobile devices including smartphones, tablets, and wearable wireless devices. Mobile device penetration and usage drives application demand with the latter indicating a strong correlation with cloud adoption rates. Mobile network operator motivation to develop new sources of top-line revenue and high-margin services represents an additional driving factor.

Cloud Application Marketplace 2013 - 2018 informs decision makers and provides an understanding of the key trends impacting the cloud application marketplace. This research evaluates the key benefits, challenges, trends and development process impacting the market for cloud-based applications. This study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report includes comprehensive market and vendor analysis as wells as forecasting.

Target Audience:

  • Telecom service providers
  • API management companies
  • SDN and virtualization vendors
  • Telecom managed service providers
  • Wireless/mobile infrastructure providers
  • Cloud infrastructure and service providers
  • SMB and enterprise companies of all types
  • Regulatory bodies and governmental organizations
  • Investors: venture capital, private equity and hedge funds
Companies in Report:
  • Amazon
  • America Movil
  • Apple
  • AT&T
  • Bebo
  • Box
  • CGI
  • China Mobile
  • Cisco
  • Citrix
  • Crashplan
  • CSC
  • CSC
  • Easy Vista
  • eBay
  • EMC
  • Facebook
  • Flickr
  • foursquare
  • Gartner
  • gLite
  • Globus
  • Google
  • HP
  • IBM
  • instagram
  • LinkedIn
  • Microsoft
  • MySpace
  • Oracle
  • Orange
  • Range International
  • Salesforce
  • Sun Microsystems
  • Switch
  • Telenor
  • twillo
  • Twitter
  • Verizon
  • VMware
  • Vodafone
  • WordPress
  • Yahoo

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 Understanding Cloud Computing
2.1 Cloud Foundations
2.1.1 Grid Computing
2.2 Cloud Technologies And Architecture
2.2.1 Software Defined Networking (Sdn)
2.2.2 Virtualization
2.3 Cloud Computing V/S Virtualization
2.4 Moving Beyond Cloud Computing
3.0 Cloud Service Enablers
3.1 General Enablers
3.1.1 Wireless Broadband Connectivity
3.1.2 Security Solutions
3.1.3 Presence And Location
3.2 Personal Cloud Service Enablers
3.2.1 Identity Management
3.2.2 Preference Management
4.0 Cloud Service Analysis
4.1 Cloud Service Segmentation
4.1.1 Business To Business (B2b)
4.1.2 Business To Consumer (B2c)
4.2 The Big Three Cloud Services
4.2.1 Infrastructure As A Service (Iaas)
4.2.2 Platform As A Service ( Paas)
4.2.3 Software As A Service (Saas)
4.2.4 Differences Between Iaas, Saas, And Paas
4.3 Business Process As A Service
4.3.1 Enterprise Resource Planning In The Cloud
4.3.2 Supply Chain Management In The Cloud
4.4 Industry Verticals In The Cloud
4.4.1 Finance And Banking In The Cloud
4.4.2 Retail In The Cloud
4.4.3 Healthcare In The Cloud
4.4.4 Telecommunications In The Cloud
4.4.5 Government And Defense In The Cloud
4.5 Workforce In The Cloud
4.5.1 Human Capital Management In The Cloud
4.5.2 Training And Education In The Cloud
4.5.3 Collaboration In The Cloud
4.5.4 Office Automation In The Cloud
4.6 Customers In The Cloud
4.6.1 Customer Relationship In The Cloud
4.6.2 Commerce And Payments In The Cloud
4.7 Emerging Cloud Based Applications
4.7.1 B2b Applications
4.7.2 B2c Applications
4.8 The Future Of Cloud Services
4.8.1 Everything As A Service
5.0 Data As A Service
5.1 The Drivers Of Data-as-a-service
5.1.1 Business Intelligence And Daas Integration
5.1.2 The Cloud Enabler Daas
5.1.3 Xaas Drives Daas
5.2 The Daas Ecosystem
5.2.1 Daas Elements
5.2.2 The Role Of Data Marts
5.2.3 Best Practices In Daas
5.2.4 Benefits Of Daas
5.2.5 Challenges Of Data As A Service
5.2.6 Apis And Database
5.2.7 The Need For Federated Database Model
6.0 Cloud Company Types: Challenges And Opportunities
6.1 Data Center Providers
6.1.1 Cloud Based Data Centers
6.1.2 Virtualization: Role And Impact
6.2 Cloud Service Providers
6.2.1 Amazon
6.2.2 Verizon
6.2.3 Ibm
6.2.4 Salesforce.Com
6.2.5 Csc
6.3 Network Operators
6.3.1 China Mobile Limited
6.3.2 Vodafone Group
6.3.3 Telenor Group
6.3.4 America Movil
6.4 Cloud Infrastructure And Services In Telecommunications
6.4.1 Cloud Ran
6.4.2 Mobile Consumer Cloud Services
6.4.3 Key Concerns And Solutions For Personal Cloud Services
6.4.4 Mobile Network Operator Vas Application Vs. Ott Applications
6.5 Application Development
6.5.1 Salesforce.Com
6.5.2 Box
6.5.3 Crashplan
6.5.4 Amazon Web Services
6.5.5 Easy Vista
6.6 Apis And The Cloud
6.6.1 Role Of Api’s In The Cloud
6.6.2 Enterprise Api Providers And Cloud Services
6.6.3 Telecom Api’s And The Cloud
7.0 Cloud Business Outlook
8.0 Cloud Market Forecasts
9.0 Conclusions And Recommendations
List of Figures
Figure 1: Cloud Computing
Figure 2: SaaS
Figure 3: Benefits of Cloud Computing
Figure 4: How Grid Computing Works
Figure 5: Cloud Computing Architecture
Figure 6: Server Virtualization
Figure 7: Mixed IT Environment
Figure 8: Cloud Professional Services Product
Figure 9: Cloud Computing Stack
Figure 10: PaaS Market Forecast
Figure 11: Deployment by SaaS Application
Figure 12: Difference between IaaS, PaaS, and SaaS
Figure 13: Cloud ERP vs. On-premise ERP
Figure 14: SCM Cloud
Figure 15: Financial Services in the Cloud
Figure 16: Retail in the Cloud
Figure 17: Telecom Cloud Focus
Figure 18: Cloud Computing in Government and Defense
Figure 19: Cloud Computing Collaboration
Figure 20: Office Automation in the Cloud
Figure 21: Cloud Burst of Big Data
Figure 22: Top Themes in the Cloud
Figure 23: DaaS Ecosystem
Figure 24: Data Value Chain
Figure 25: Data Value Chain with Value-added Enrichment
Figure 26: DaaS Elements
Figure 27: DaaS Benefits
Figure 28: Cloud Services and APIs
Figure 29: Datacenter
Figure 30: Top Cloud Service Providers
Figure 31: Virtualization of the Mobile Network
Figure 32: Cloud Radio Access Network (C-RAN)
Figure 33: How People User their Mobile Phone
Figure 34: Personal Content on Home Computer and Mobile Device
Figure 35: Development Operations
Figure 36: Personal Cloud Subscriptions
Figure 37: Public Cloud Services Market
Figure 38: Public Cloud Services Market by Segment
Figure 39: Public Cloud Services Market Segment Growth Rates
Figure 40: BPaaS Market
Figure 41: Cloud Advertising Market
Figure 42: Cloud Payments Market
Figure 43: Cloud SaaS Market
Figure 44: Cloud PaaS Market
Figure 45: Cloud IaaS Market
Figure 46: Cloud Computing
Figure 47: Cloud Manage & Security

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