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Cloud Application Marketplace 2015 - 2020

Cloud Application Marketplace 2015 - 2020

Cloud is moving beyond computing and storage and into an entirely new realm of communications, applications, content and applications. There are profound changes that are realized with this transformation, which are impacting infrastructure, services, companies, solutions, and business models.

Cloud Application Marketplace 2015 - 2020 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 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. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Purchasers of this report at the Team License or Enterprise License level will also receive at no additional cost Virtualization in Cloud Computing, Network Infrastructure, Software Services and Platform Services

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

Report Benefits:

Cloud forecasts through 2020
Identify opportunities for Cloud apps
Understand the Cloud ecosystem and value chain
Identify key players, apps, services, and solutions
Understand the role of the carrier in Cloud services
Understand the key role of virtualization in app support
Identify the opportunities and threats for Cloud security

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 Overview Of Cloud Computing
2.1 Understanding Cloud Computing
2.1.1 Cloud Computing Services
2.2 Cloud Foundations
2.2.1 Categories Of Cloud Computing Deployment Model
2.2.2 Grid Computing
2.2.3 Grid Computing Market Segmentation
2.3 Cloud Technologies And Architecture
2.3.1 Software Defined Networking (Sdn)
2.3.2 Sdn Deployment Models
2.3.3 Virtualization (Server Vs. Hardware Vs. Desktop Vs. Storage)
2.4 Cloud Computing And Virtualization
2.5 Moving Beyond Cloud Computing
2.5.1 A ‘glocal’ Cloud
2.6 Rise Of The Cloud-based Networked Enterprise
2.7 General Cloud Service Enablers
2.7.1 Wireless Broadband Connectivity
2.7.2 Security Solutions
2.7.3 Presence And Location
2.8 Personal Cloud Service Enablers
2.8.1 Identity Management
2.8.2 Preference Management
3.0 Cloud Service Analysis
3.1 Cloud Service Segmentation
3.1.1 Business To Business (B2b)
3.1.2 Business To Consumer (B2c)
3.2 Core Cloud Services
3.2.1 Infrastructure As A Service (Iaas)
3.2.2 Platform As A Service (Paas)
3.2.3 Software As A Service (Saas)
3.2.4 Differences Between Iaas, Saas, And Paas
3.3 Emerging Models: Xaas (Everything As A Service)
3.3.1 Business Process As A Service (Bpaas)
3.3.2 Communication As A Service (Caas)
3.3.3 Monitoring As A Service (Maas)
3.3.4 Network-as-a-service (Naas)
3.3.5 Storage As A Service (Saas)
3.3.6 Data As A Service (Daas)
3.4 Data As A Service Ecosystem
3.4.1 The Drivers Of Data-as-a-service
3.4.2 Business Intelligence And Daas Integration
3.4.3 The Cloud Enabler Daas
3.4.4 Xaas Drives Daas
3.4.5 The Daas Ecosystem
3.4.6 Daas Elements
3.4.7 The Role Of Data Marts
3.4.8 Best Practices In Daas
3.4.9 Benefits Of Daas
3.4.10 Challenges Of Data As A Service
3.4.11 Apis And Database
3.4.12 The Need For Federated Database Model
3.5 Enterprise Resource Planning In The Cloud
3.6 Supply Chain Management In The Cloud
4.0 Industry Verticals In The Cloud
4.1 Finance And Banking In The Cloud
4.1.1 Agility, Efficiency, And Simplified Delivery
4.1.2 Prioritizing The Cloud
4.2 Retail In The Cloud
4.3 Healthcare In The Cloud
4.3.1 Key Benefits Of Cloud Technology
4.4 Telecommunications In The Cloud
4.4.1 Opportunities And Challenges
4.4.2 Solutions
4.5 Government And Defense In The Cloud
4.5.1 Pros And Cons Of The Federal Cloud
4.6 Workforce In The Cloud
4.6.1 Human Capital Management In The Cloud
4.6.2 Training And Education In The Cloud
4.6.3 Collaboration In The Cloud
4.6.4 Office Automation In The Cloud
4.7 Customers In The Cloud
4.7.1 Customer Relationship In The Cloud
4.7.2 Commerce And Payments In The Cloud
4.8 Emerging Cloud Based Applications
4.8.1 B2b Applications
4.8.2 Big Data As A Service (Bdaas)
4.8.3 B2c Applications
4.8.4 Entertainment In The Cloud: Tv, Video, Gaming And More
4.9 The Future Of Cloud Services
4.9.1 Everything As A Service
4.9.2 How Xaas Decreases Costs And Makes Everything Fit Together
4.10 Data Center Providers
4.11 Virtualization: Role And Impact
4.11.1 Types Of Virtualization
4.11.2 How Virtualization Affects Cost Structures
5.0 Cloud Application Service Market Forecast
5.1 Cloud Service Market Revenue Forecast 2015 – 2020
5.2 Cloud Service Market Revenue By Tpes 2015 – 2020
5.3 Cloud Service Market Revenue By Core Segments Or Models 2015 – 2020
5.4 Cloud Saas Market Revenue By Segments 2015 – 2020
5.5 Cloud Paas Market Revenue By Segments 2015 – 2020
5.5.1 Cloud Paas Market Revenue By Sub-segments 2015 – 2020
5.6 Cloud Iaas Market Revenue By Segments 2015 – 2020
5.7 Public Cloud Services Market Revenue By Segments 2015 – 2020
5.7.1 Public Cloud Management & Security Services Market Revenue By Segments 2015 – 2020
5.7.2 Public Cloud Bpaas Services Market Revenue By Segments 2015 – 2020
5.8 Cloud Service Market Revenue By Geographic Region 2015 – 2020
5.9 Cloud Application Service Revenue By Industry Vertical 2015 – 2020
5.10 Cloud Application Adoption Trend Among Percent Of Organizations By Deployment Models 2015 – 2020
5.11 Cloud Application Adoption Trend Among Percent Of Organizations By Industry Verticals 2015 – 2020
5.12 Cloud Investment Percent To Industry Applications 2015
5.13 Benefits Of Cloud Application Service Adoption Over In-house It Services
5.14 Private Cloud Storage Subscription Forecast 2015 – 2020
6.0 Cloud Application Service Vendor Analysis
6.1 Office Automation Application
6.1.1 Zoho
6.1.2 Techinline
6.1.3 Windows Live Mesh
6.1.4 Dropbox
6.1.5 Logmein
6.1.6 Microsoft Office 365
6.1.7 Noodle
6.2 Crm Applications
6.2.1 Addresstwo
6.2.2 Allclients
6.2.3 Maximizer
6.2.4 Salescloud From Salesforce
6.2.5 Salesnexus
6.3 Data Center Applications
6.3.1 Google
6.3.2 Microsoft
6.3.3 Switch Super Nap
6.3.4 Range International Information Hub
6.4 Core Cloud Service Providers
6.4.1 Amazon
6.4.2 Verizon
6.4.3 Ibm
6.4.4 Salesforce.Com
6.4.5 Csc
6.4.6 Centurylink
6.4.7 Savvis
6.4.8 Joyent
6.4.9 Microsoft
6.4.10 Rackspace
6.4.11 Fujitsu
6.4.12 Hp
6.5 Cloud Network Operators
6.5.1 China Mobile Limited
6.5.2 Vodafone Group
6.5.3 Telenor Group
6.5.4 America Movil
6.6 Enterprise Cloud Application
6.6.1 Salesforce.Com
6.6.2 Box
6.6.3 Crashplan
6.6.4 Amazon Web Services
6.6.5 Easy Vista
7.0 Carrier Cloud Opportunity
7.1 Cloud Infrastructure And Services In Telecommunications
7.1.1 Cloud Ran
7.2 Mobile Consumer Cloud Services
7.2.1 Consumer Mobility And The Cloud: Statistics And Forecasts
7.3 Commercial Considerations
7.3.1 What Consumers Will Store In And Access From The Cloud
7.3.2 What Devices Consumers Will Use To Access The Cloud
7.3.3 Where And How Consumers Will Access The Cloud
7.3.4 What Companies Do Consumers Identify With Cloud Services
7.3.5 Consumer Willingness To Pay For Personal Cloud Services
7.4 Key Concerns And Solutions For Personal Cloud Services
7.4.1 Lte And Anywhere, Anytime, Any Device Access
7.4.2 Lte Drives Cloud Grow Acceleration Via User Generated Content (Ugc)
7.4.3 Digital Rights Management (Drm)
7.4.4 Network And Device Optimization
7.4.5 Cloud Data Security
7.4.6 Identity Management For Cloud Services
7.4.7 Cloud Services Brokering And Cloud Mediation
7.5 Mobile Network Operator Vas Application Vs. Ott Applications
7.6 Telecom Apis And The Cloud
7.6.1 Role Of Api’s In The Cloud
7.6.2 Enterprise Api Providers And Cloud Services
7.6.3 Telecom Api’s And The Cloud
7.7 Greater Mobile Cloud Computing
7.7.1 Byoc (Bring Your Own Cloud) And Increased Security
7.8 Carrier Cloud Service Strategy
7.8.1 Consumer Cloud Services Key To Growth In Carrier Data Services
7.8.2 Carrier Cloud Services To Drive Value-added Services Growth
7.8.3 Personal Cloud Services To Improve Carrier Top Line Revenue And Profits
7.9 Telecom Benefits Of Offering Cloud Services
7.9.1 Value Proposition For Telecom
7.9.2 Web-based Applications Promote It Independence
7.9.3 Cloud-based Managed Services Produces Revenue
7.9.4 Increase Data Center Efficiency And Operations
7.9.5 Differentiating Service Providers
7.10 Carrier Advantages In Cloud Ecosystem
7.10.1 Service-orientation
7.10.2 Performance
7.10.3 Security
7.11 Carrier Challenges
7.11.1 Business-class Services
7.11.2 Standardization
7.11.3 Portability
7.12 Cloud Back Up Services For Telecom
7.12.1 Ctera And Telecom Italia
7.12.2 Huawei And China Telecom
7.12.3 Huawei Public Cloud And Telkomsigma
7.12.4 Huawei Public Cloud And Chinacomm
7.12.5 Huawei Data Center And Vert Brazil
7.12.6 Acronis
7.12.7 Vodafone
7.12.8 Openstack
7.12.9 Hp And Nokia
7.12.10 Atos
7.12.11 Vox Telecom
7.12.12 Zajil Telecom
7.12.13 Osstelco
7.13 Cloud Backup Service Provider Compeition
7.14 Impact Of Icloud
8.0 Conclusions And Recommendations
8.1 Recommendations
8.1.1 Content Delivery Networks (Cdn)
8.1.2 Mobile Personal Cloud Services
8.1.3 Telecom Operator
Figures
Figure 1: Cloud Computing Concept
Figure 2: Cloud Service Models
Figure 3: Benefit Chart of Cloud Computing
Figure 4: How Grid Computing Works
Figure 5: Cloud Computing Architecture
Figure 6: Server Virtualization Architecture
Figure 7: Mixed IT Environment
Figure 8: Cloud Professional B2B Service Provider Matrix
Figure 9: Cloud Computing Stack
Figure 10: Deployment Ratio of by Categories of SaaS Application
Figure 11: Difference between IaaS, PaaS, and SaaS
Figure 12: DaaS Ecosystem
Figure 13: Data Value Chain in DaaS Ecosystem
Figure 14: Data Value Chain with Value-added Enrichment
Figure 15 DaaS Elements
Figure 16 DaaS Benefits
Figure 17: Cloud Services and APIs
Figure 18 Cloud ERP vs. On-premise ERP
Figure 19: SCM Cloud Structure
Figure 20: Financial Services in the Cloud
Figure 21: Retail in the Cloud
Figure 22: Telecom Cloud Focus
Figure 23: Cloud Computing in Government and Defense
Figure 24: Office Automation in the Cloud
Figure 25: Cloud Burst of Big Data
Figure 26: Top Themes in the Cloud
Figure 27 Cloud Service Market Revenue 2015 – 2020
Figure 28: Private Cloud Storage Subscription Forecast 2015 – 2020
Figure 29: Datacenter Infrastructure
Figure 30: Virtualization of the Mobile Network
Figure 31: DevOps (Development Operations)
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: IDS1000 AIO
Figure 36: IDS1000 cluster
Tables
Table 1: Private Cloud B2C Service Provider Matrix
Table 2: Cloud Service Market Revenue by Private and Public Cloud 2015 – 2020
Table 3: Total Revenue Share by Private vs. Public Cloud Service 2015 – 2020
Table 4: Cloud Service Market Revenue by Core Segments or Models 2015 – 2020
Table 5: Total Revenue Share by SaaS vs. PaaS vs. IaaS 2015 – 2020
Table 6: Cloud Market Revenue by SaaS Segments 2015 – 2020
Table 7: Cloud SaaS Revenue Share by Segments during 2015 - 2020
Table 8: Cloud PaaS Market Revenue by Segments 2015 – 2020
Table 9: Percent of Cloud PaaS Revenue Share by Segments during 2015 - 2020
Table 10 Cloud PaaS Market Revenue by Sub-Segments 2015 – 2020
Table 11: Cloud PaaS Revenue Share by Sub-Segments during 2015 – 2020
Table 12: Cloud IaaS Market Revenue by Segments 2015 – 2020
Table 13: IaaS Cloud Service Market Revenue by Segments during 2015 – 2020
Table 14: Public Cloud Services Market Revenue by Segments 2015 – 2020
Table 15: Public Cloud Service Revenue by Segments during 2015 – 2020
Table 16: Public Cloud Mgt & Security Services Mkt Rev by Segments 2015 – 2020
Table 17: Public Cloud Mgt & Security Services Rev by Segment 2015 – 2020
Table 18: Public Cloud BPaaS Services Market Revenue by Segments 2015 – 2020
Table 19: Public Cloud BPaaS Services Rev by Segment 2015 – 2020
Table 20 Cloud Service Market Revenue by Region 2015 – 2020
Table 21: Cloud Service Market Revenue Share by Region 2015 – 2020
Table 22: Cloud Application Service Revenue by Industry Vertical 2015 – 2020
Table 23: Cloud Application Service Revenue by Industry Verticals 2015 – 2020
Table 24: Cloud Application Adoption Trend by Deployment Models 2015 – 2020
Table 25: Cloud Application Adoption Trend by Industry Verticals 2015 – 2020
Table 26: Cloud Investment in Industry Applications 2015
Table 27: Benefits of Cloud App Service Adoption over In-House IT Services
Table 28: Basic Features or Functionality of Mobile Personal Cloud Services

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