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Enterprise Mobility 2015: BYOD, Cloud, Social, Big Data and Application Management

  • ID: 3429657
  • Report
  • Region: Global
  • 952 Pages
  • Mind Commerce
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Major Factors Driving Enterprise Mobility Today Include Social Networking and Application Management

FEATURED COMPANIES

  • Absolute Software
  • Blackberry
  • Domino’s Pizza
  • IBM
  • Mobileiron
  • Salesforce.Com
  • MORE
This research package includes:
- Cloud Application Marketplace 2015 - 2020
- Data as a Service (DaaS) Market and Forecasts 2015 - 2020
- Big Data Market: Business Case, Market Analysis & Forecasts 2015 - 2020
- Social Business Services in the Cloud: Market Analysis and Forecast 2015 - 2020
- BYOD in Enterprise Applications and Cloud Environment: Market Challenge and Opportunity Analysis 2015 - 2020
- Mobile Application Marketplace 2015: Market Analysis and Assessment of Future Evolution and Opportunities

This research evaluates the challenges, opportunities, and market outlook for BYOD in enterprise and cloud environments. This research assesses the potential users of cloud service and includes a SWOT analysis, cloud social vendor analysis, market trends, and industry forecasts.

The report also analyzes the technology and solution providers in certain key areas including marketing automation, social media monitoring, enterprise collaboration, web experience management, information governance, digital commerce, CRM and customer support, ECM and File sharing, and workforce management. This includes evaluation of the key benefits, challenges, trends and development process impacting the market for cloud-based applications.

This research also provides an in-depth assessment of the global Big Data market, including a study of the business case, application use cases, vendor landscape, value chain analysis, case studies and a quantitative assessment of the industry. This purchase 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.

Target Audience:
- Medium-to-large business
- Wireless network operators
- Mobile apps stores providers
- Data as a Service (DaaS) providers
- Big Data and Analytics services companies
- Mobile device management solution providers
- Enterprise mobility management and IT personnel
- Cloud software, platform, and infrastructure providers
Note: Product cover images may vary from those shown
2 of 3

FEATURED COMPANIES

  • Absolute Software
  • Blackberry
  • Domino’s Pizza
  • IBM
  • Mobileiron
  • Salesforce.Com
  • MORE
Byod In Enterprise Applications And Cloud Environment: Market Challenge And Opportunity Analysis 2015

1.0 Executive Summary
2.0 Introduction
2.1 Consumerization Of It And Byod
2.2 Mdm And Emm
2.3 Mobile Virtualization
2.4 Cyod/Hyod/Cope Vs. Byod
2.5 Mam, Mim, And Identity Management
3.0 Byod Trends
3.1 High Penetration Of Mobile
3.2 Mobility Of Workforce
3.3 Flexible Work Environment
3.4 Availability And Performance Of Mobile Device
3.5 Byod Productivity
3.6 Byod Security
3.7 Opex Reduction
3.8 Employee Empowerment
3.9 Mobile Os
3.10 Mandating Byod As Approach
3.11 Mobile Device Management
3.12 Modernizing Legacy Application
3.13 Virtual Working Environment
3.14 Wearable Technology
3.15 Enterprise It
3.16 Tablet Computing
4.0 Byod In Enterprise
4.1 Why Byod For Enterprise Mobility
4.2 Benefits Of Byod
4.3 Byod Obstacles
4.3.1 Reduce Employee’S Productivity
4.3.2 Licensing
4.3.3 Cost Risk
4.4 Strategy To Secure Enterprise
4.4.1 Containerization
4.4.2 Mam
4.4.3 Identity And Access Management
4.5 Byod In Smbs
4.6 Other Considerations For Smbs
4.6.1 Notification
4.6.2 Best Practices Adoption
4.6.3 Transparent Policy
4.6.4 Employee Education
4.6.5 Data Segregation
4.6.6 Social Factor
4.6.7 Prevent Data Leakage
4.6.8 It Support
4.7 Location Impact And Solution
4.7.1 Locaid: Full Scale Enterprise Location Solution
5.0 Byod Applications In Enterprise Sectors
5.1 Travel Agency
5.2 Healthcare Industry
5.3 Government Agency
5.4 Workplace Environment
5.5 Role Of Mnos
6.0 Byod In Cloud Environment
6.1 Cloud Byod Adoption
6.2 Enterprise Migration To Cloud
6.3 Enterprise Benefits Of Cloud Service
6.4 Cloud Growth Drivers
6.5 Data Security In Cloud
6.6 Cloud App Security Challenge
6.7 Protecting Corporate Assets
6.8 Case Study
6.8.1 Domino’s Pizza
6.8.2 London Airport
7.0 Enterprise Mdm
7.1 Mdm Or Emm
7.1.1 Device Management
7.1.2 Application Management
7.1.3 Network Management
7.1.4 Data Management
7.2 Recommended Features For Mdm
7.3 Mdm Projections And Trend 2015
7.3.1 Enterprise Perception On Byod In Workplace
7.3.2 Enterprise Belief Over Mobile Workforce
7.3.3 Workplace Mobility Trend Of Professionals 2015
7.3.4 Employee Ratio Of Personal Devices 2015
7.3.5 What Employee Feelings About Using Personal Devices For Work
7.3.6 Companies On Mobile Workforce Adoption 2015
7.3.7 Company Concern Over Allowing Personal Devices In Workplace
7.3.8 Mobile Workforce Adoption Scenario
7.3.9 Personal Mobile Devices In Today’S Workplace
7.3.10 Mobile Malware Threat & Mobile Workforce Dilemma
7.3.11 How Companies Manage Mobility With Solid Strategy
7.4 Vendor Analysis
8.0 Mobile Virtualization
9.0 Byod Trend In Smac Convergence
10.0 Gamification And Byod
11.0 Enterprise Challenges
11.1 Policy Vs. Regulatory
11.1.1 Define What Will Be Allowed And What Is Not
11.1.2 Set Clear And Written Policies
11.1.3 Determine Whose Data Is?
11.1.4 Who Owns The Hardware?
11.2 Security Vs. Infrastructure
11.3 Cost Vs. Revenue
11.4 Working Culture Challenges
11.5 Security Risk Of Byod Deployment
11.6 Reasons Of Security Risks
11.6.1 Outdated Software
11.6.2 Inability To Prevent Installation Of Specific Mobile Apps
11.6.3 Consumerization Of Cloud Storage
12.0 Byod Implementation
12.1 Identifying Right Approach
12.2 Evaluating Byod Deployment Factors
12.3 Evaluating Hybrid Byod
12.4 Minimizing Mobile Security Risks
12.5 Evaluating Mobile Device Ownership
12.6 Cobit 5 Framework
13.0 Byod Project Management
13.1 Project Team
13.2 Byod Roadmap
13.3 Policy Guideline
13.4 Right Infrastructure
13.5 Data Ownership
13.6 Access Policy
13.7 Robust Support
13.8 Financial Elements
14.0 Byod Implication For Cio And It Department
14.1 Broker Of Choice
14.2 Cost Saver
14.3 Security Enabler
15.0 Byod Market Projections
15.1 Global Connected Device Projection 2015
15.2 M2M Vs. Personal Handheld Connection 2015
15.3 Connected Device In Regions 2015
15.4 Global Mobile Data Traffic 2015
15.5 Mobile Data Traffic By Region 2015
15.6 Global Byod Devices In Workplace 2015
15.7 Byod Devices By Mobile Os 2015
15.7.1 Why Apple Is Still Number One
15.8 Workplace Byod By Types Of Devices 2015
15.9 Byod Adoption In Enterprise 2015
15.10 Global Connected Devices By Network 2015
15.11 Global Connected Traffic Source 2015
15.12 Global Connected Cloud Traffic 2015
15.13 Global Cellular Vs. Offload Traffic 2015
15.14 Enterprise Support Plan For Byod
15.15 Duration Of Byod Policy In Enterprise
15.16 Percent Of Mobile Budget Spent On Byod By Country
15.17 Desktop Virtualization Strategy Implementation
16.0 Byod By Region
16.1 Growth Market Vs. Mature Market
16.1.1 Lack Of Byod Management
16.1.2 Average Of Number Of Byod Device
16.1.3 Byod Benefits
16.2 Europe Analysis
16.2.1 United Kingdom
16.2.2 France
16.2.3 Germany
16.2.4 Russia
16.3 Apac Analysis
16.3.1 China
16.3.2 India
16.4 Latin America
16.4.1 Brazil
16.4.2 Mexico
17.0 Byod Vendor Analysis
17.1 Hp
17.1.1 Swot Analysis
17.2 Dell
17.2.1 Mobile Access Solution Set
17.2.2 Cloud Experience Solution Set
17.2.3 Network Optimization Solution Set
17.2.4 Application Modernization And Development Solution Set
17.2.5 Swot Analysis
17.3 Huawei
17.3.1 Swot Analysis
17.4 Rucks And Aerohive
17.4.1 Swot Analysis
17.5 Aruba
17.5.1 Swot Analysis
17.6 Cisco
17.6.1 Cisco Meraki
17.6.2 Swot Analysis
17.7 Citrix
17.7.1 Swot Analysis
17.8 Enterasys: Mobile Identity Access Management
17.8.1 Swot Analysis
17.9 Armor
17.9.1 Company Description
17.9.2 Cloud Based Solution
17.9.3 Zero Touch Deployment Model
17.9.4 Best Security: Reduce Attack Surface
17.9.5 Swot Analysis
17.10 Domo
17.10.1 Company Description
17.10.2 Business Intelligence (Bi) Vs. Big Data & Analytics
17.10.3 Bi Dashboard And Executive Management Platform
17.10.4 Swot Analysis
17.11 Divide By Enterproid
17.11.1 Company Description
17.11.2 Divide Platform
17.11.3 Virtualization & Device Management
17.11.4 Work-Life Balance & Divide Platform
17.11.5 Swot Analysis
17.12 Mobilespaces
17.12.1 Company Description
17.12.2 Enterprise App Sore, Employee Privacy And Byod Solution
17.12.3 Swot Analysis
17.13 Mocana
17.13.1 Company Description
17.13.2 Solution Approach
17.13.3 Product & Service Paradigm
17.13.4 Industry Service Horizon
17.13.5 Solution Framework
17.13.6 Mobile App Protection & Byod
17.13.7 App Wrapping Solution And Mocana Partnership With Apperian
17.13.8 Swot Analysis For Map
17.14 Apperian
17.14.1 Company Description
17.14.2 Mam Platform And Ease
17.14.3 Swot Analysis
17.15 Roambi
17.15.1 Company Description
17.15.2 Roambi Flow
18.0 Mdm Vendor Analysis
18.1 Airwatch
18.2 Apple Profile Manager
18.3 Boxtone
18.4 Centrify
18.5 Good Technology
18.6 Ibm
18.7 Landesk
18.8 Microsoft
18.9 Mobileiron
18.10 Sap
18.11 Symantec
18.12 Zenprise/Citrix
18.13 Fiberlink
18.14 Motorola Solutions
18.15 Blackberry
18.16 Trend Micro
18.17 Soti
18.18 Absolute Software
18.19 Antenna Software
18.20 Kony
18.21 Mcafee
18.22 Smith Micro Software
18.23 Sophos
18.24 Tangoe
18.25 Wavelink
18.26 Juniper Networks
18.27 Csc
19.0 Case Analysis
19.1 Microsoft Azure Active Directory Case
19.1.1 Benefits Achieved By Companies
19.2 Ibm
19.3 Digid
19.4 Dimension Data
20.0 Conclusions And Recommendations
20.1 Recommended Checklist To Select Byod Solution Provider

Figures

Figure 1: Driving Forces Of Mobility Adoption Of Enterprises
Figure 2: Byod Opportunities Allocation 2015
Figure 3: Activity Cycle Of Enterprise Mobility
Figure 4: Deployment Difficulties Of Enterprise Mobility
Figure 5: Steps For Implementing Byod In Smbs
Figure 6: Growth Predictions Of Government Agencies Using Byod 2015
Figure 7: Percent Of Workers Not Willing To Work From Home
Figure 8: Strategic Consideration Of Byod Organization
Figure 9: Decision Making Factor For Cloud Byod Adoption
Figure 10: Byod Applications Available Via Cloud 2015
Figure 11: Enterprise Function Migration To Cloud Services
Figure 12: Enterprise Benefits Derived From Cloud Adoption
Figure 13: Personal Devices In Workplace As Corporate Security Risk
Figure 14: Professionals Use 2 Devices Vs. 3 Or More Devices 2015
Figure 15: Employee Personal Devices Vs. Ownership Status 2015
Figure 16: Right Vs. Want To Break Company Rule Vs. Dislike Mdm On Device
Figure 17: Company Allow Personal Devices Vs. Mdm 2015
Figure 18: Company Device Policy Breakdown
Figure 19: Companies Who Allow Personal Devices In Workplace
Figure 20: Personal Mobile Devices In Workplace
Figure 21: Companies Managing Mobility In Different Ways
Figure 22: Vmware's Horizon Mobile And Horizon Mobile Manager
Figure 23: Employees Using Byod Devices
Figure 24 Obstacles For Byod Adoption
Figure 25: Security Issues And Impact On Byod Decision Making
Figure 26: Mobile Security Options For Byod And Hyod
Figure 27: Connected Device By Region 2015
Figure 28: Global Mobile Data Traffic Exabytes Per Month 2015
Figure 29: Mobile Data Traffic Exabytes Per Month By Region 2015
Figure 30: Global Byod Devices 2015
Figure 31: Percentage Of Os Used In Byod Environment 2015
Figure 32: Workplace Byod (Smartphone Vs. Tablet & Wearable) 2015
Figure 33: Byod Adoption (Large Vs. Medium &. Small Enterprise) 2015
Figure 34: Global Connected Device By Technology 2015
Figure 35: Global Connected Traffic Source 2015
Figure 36: Global Connected Traffic By Cloud Vs. Non-Cloud 2015
Figure 37: Global Connected Traffic By Cellular Source Vs. Offload 2015
Figure 38: Percent Of Enterprise Support Plan For Byod Adoption
Figure 39: Length Of Time Byod Policy In Enterprise By Percent Of Enterprise
Figure 40: Percent Of Mobile Budget Spent On Byod By Country
Figure 41: Desktop Virtualization Strategy Implementation By Region
Figure 42: Byod In Developed Vs. Developing Markets
Figure 43: Lack Of Byod Management Issues
Figure 44: Average Number Of Connected Devices Per Knowledge Worker
Figure 45: Byod Benefits To The Company By Country
Figure 46: Imc Byod Solution Of Hp
Figure 47: Swot Analysis For Dell Byod Solution
Figure 48: Different Phase For Byod
Figure 49: Huawei Byod Solution Component
Figure 50: Secure And Productive Byod For The Enterprise
Figure 51: Main Components For Byod Solutions
Figure 52: Cisco Byod Solution Framework
Figure 53: Cisco Byod Device Projections 2015
Figure 54: Zero Touch Model
Figure 55: Cloudspace Architecture
Figure 56: Web Virtualization Engine (Wve) Architecture
Figure 57: Interactive Dashboard For Enterprise
Figure 58: Cross-Platform View Of Bi Dashboard
Figure 59: Divide Screenshot
Figure 60: Work-Life Separation Interface Of Divide
Figure 61: Native Apps Screenshot On Smartphone
Figure 62: Product & Service
Figure 63: Industry Coverage
Figure 64: Mocana Solution Framework
Figure 65: Map Framework
Figure 66: Ease Admin Portal
Figure 67: Roambi Flow

Tables

Table 1: Comparative Analysis Of 5 Mdm Vendors - Part
Table 2: Comparative Analysis Of 5 Mdm Vendors - Part
Table 3: Global Connected Device 2015
Table 4: M2M And Personal Handheld Connections 2015
Table 5: Swot Analysis For Huawei Byod Solution
Table 6: Swot Analysis For Aerohive Byod Solution
Table 7: Swot Analysis For Aruba Byod Solution
Table 8: Swot Analysis For Citrix Byod Solution
Table 9: Swot Analysis For Enterasys Byod Solution
Table 10: Three Years Cost Vs. Saving Of Transactiv With Windows Azure
Table 11: Success Story Of Ibm Using Byod
Table 12: Questions To Answer Before Finalizing Byod Solution Provider

Cloud Application Marketplace 2015

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
5.2 Cloud Service Market Revenue By Tpes 2015
5.3 Cloud Service Market Revenue By Core Segments Or Models 2015
5.4 Cloud Saas Market Revenue By Segments 2015
5.5 Cloud Paas Market Revenue By Segments 2015
5.5.1 Cloud Paas Market Revenue By Sub-Segments 2015
5.6 Cloud Iaas Market Revenue By Segments 2015
5.7 Public Cloud Services Market Revenue By Segments 2015
5.7.1 Public Cloud Management & Security Services Market Revenue By Segments 2015
5.7.2 Public Cloud Bpaas Services Market Revenue By Segments 2015
5.8 Cloud Service Market Revenue By Geographic Region 2015
5.9 Cloud Application Service Revenue By Industry Vertical 2015
5.10 Cloud Application Adoption Trend Among Percent Of Organizations By Deployment Models 2015
5.11 Cloud Application Adoption Trend Among Percent Of Organizations By Industry Verticals 2015
5.12 Cloud Investment Percent To Industry Applications
5.13 Benefits Of Cloud Application Service Adoption Over In-House It Services
5.14 Private Cloud Storage Subscription Forecast 2015
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
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
Figure 28: Private Cloud Storage Subscription Forecast 2015
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 137 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
Table 3: Total Revenue Share By Private Vs. Public Cloud Service 2015
Table 4: Cloud Service Market Revenue By Core Segments Or Models 2015
Table 5: Total Revenue Share By Saas Vs. Paas Vs. Iaas 2015
Table 6: Cloud Market Revenue By Saas Segments 2015
Table 7: Cloud Saas Revenue Share By Segments During 2015
Table 8: Cloud Paas Market Revenue By Segments 2015
Table 9: Percent Of Cloud Paas Revenue Share By Segments During 2015
Table 10 Cloud Paas Market Revenue By Sub-Segments 2015
Table 11: Cloud Paas Revenue Share By Sub-Segments During 2015
Table 12: Cloud Iaas Market Revenue By Segments 2015
Table 13: Iaas Cloud Service Market Revenue By Segments During 2015
Table 14: Public Cloud Services Market Revenue By Segments 2015
Table 15: Public Cloud Service Revenue By Segments During 2015
Table 16: Public Cloud Mgt & Security Services Mkt Rev By Segments 2015
Table 17: Public Cloud Mgt & Security Services Rev By Segment 2015
Table 18: Public Cloud Bpaas Services Market Revenue By Segments 2015
Table 19: Public Cloud Bpaas Services Rev By Segment 2015
Table 20 Cloud Service Market Revenue By Region 2015
Table 21: Cloud Service Market Revenue Share By Region 2015
Table 22: Cloud Application Service Revenue By Industry Vertical 2015
Table 23: Cloud Application Service Revenue By Industry Verticals 2015
Table 24: Cloud Application Adoption Trend By Deployment Models 2015
Table 25: Cloud Application Adoption Trend By Industry Verticals 2015
Table 26: Cloud Investment In Industry Applications
Table 27: Benefits Of Cloud App Service Adoption Over In-House It Services
Table 28: Basic Features Or Functionality Of Mobile Personal Cloud Services

Social Business Services In The Cloud: Market Analysis And Forecast 2015

1.0 Executive Summary
2.0 Overview
2.1 What Is Social Business?
2.2 Social Business Services And Saas Solution
2.3 Cloud Convergence With Social Technologies
2.4 Cloud Solution Development For Social Business
2.5 Mobile, Wearable And Analytics
2.6 Security Compliance And New Stakeholders
2.7 Social Customer
2.8 Enterprise Social Adoption
2.9 Cloud Social Collaboration
2.10 Success Principles Of Social Business
2.10.1 Recognize Social Technology
2.10.2 Building Success Architecture
2.10.3 Multistep Approach
2.10.4 Treat Users First
2.10.5 Strategic Thought Approach
2.11 Social Enterprise Deployment And Challenges To Address
2.12 Building Block Techniques
2.13 Improving Enterprise Social Capabilities
2.14 Assessing Enterprise Social Capabilities
2.15 Effectiveness Of Social Business Capabilities
2.15.1 Business Challenge
2.15.2 Social Capabilities
2.15.3 Business Outcomes
2.15.4 Industry Nuances
2.15.5 Technical Challenges
2.16 Swot Analysis
2.16.1 Strengths & Opportunities
2.16.2 Weaknesses & Threats
2.17 Industry Vertical
3.0 Technology, Application And Provider
3.1 Marketing Automation
3.1.1 Marketo
3.1.2 Pardot
3.1.3 Eloqua
3.1.4 Customer.Io
3.1.5 Hubspot
3.1.6 Adroll
3.1.7 Pica
3.1.8 Canterris
3.1.9 Bremy
3.1.10 Outmarket
3.1.11 Bussbuilder Pro
3.1.12 Salesfusion
3.1.13 Genoo
3.1.14 Bizible
3.1.15 Etrigue
3.1.16 Allocadia
3.1.17 Sales Engine International
3.1.18 Ontraport
3.1.19 Leadsquared
3.1.20 Marcomcentral
3.1.21 Ambassador
3.1.22 Integrate
3.1.23 Brandmaker
3.1.24 Buzzportal
3.1.25 Active Conversation
3.1.26 Communigator
3.1.27 Agillic
3.1.28 Aprix Solutions
3.1.29 Distribion
3.1.30 Salesformics
3.1.31 Elateral
3.1.32 Cascade
3.1.33 Gravity Factor
3.1.34 Bronto
3.1.35 Greenrope
3.1.36 Ifbyphone
3.1.37 Nextbee
3.1.38 Zoho
3.1.39 Activecampaign
3.1.40 Constantcontact
3.1.41 Mailchimp
3.1.42 Asana
3.1.43 Gliffy
3.1.44 Jumplead
3.1.45 Simplycast
3.1.46 Drip
3.1.47 Kentico
3.1.48 Leadsius
3.1.49 Kahuna
3.1.50 Demandbase
3.2 Social Media Management & Monitoring
3.2.1 Sugarcrm
3.2.2 Marketo
3.2.3 Pipelinedeals
3.2.4 Salesforce.Com Service Cloud
3.2.5 Salesforce Marketing Cloud
3.2.6 Zipwire
3.2.7 Salesoutlook Crm
3.2.8 Smarttouch
3.2.9 Calliduscloud Marketing Automation
3.2.10 Propertybase
3.3 Enterprise Collaboration & Social
3.3.1 Co-Op
3.3.2 Cyn.In
3.3.3 Cubetree
3.3.4 Hashwork
3.3.5 Jaiku
3.3.6 Obayoo
3.3.7 Present.Ly
3.3.8 Qontext
3.3.9 Sharetronix
3.3.10 Snipia
3.3.11 Socialcast
3.3.12 Socialtext
3.3.13 Socialwok
3.3.14 Status.Net
3.3.15 Yammer
3.4 Web Experience Management
3.4.1 Adobe Experience Manager
3.4.2 Zendesk
3.4.3 Ibm Tealeaf
3.4.4 Satmetrix
3.4.5 Responsetek
3.4.6 Clicktale
3.4.7 Kana
3.4.8 Clarabridge
3.4.9 Sas
3.4.10 Gemius
3.4.11 Hubspot
3.4.12 Medallia
3.4.13 Maxymiser
3.4.14 Userzoom
3.4.15 Ux
3.4.16 Usabilitytools
3.4.17 Ektron
3.4.18 Ezpublish
3.4.19 Hippo Cms 7.
3.4.20 Sdl
3.4.21 Opentext
3.4.22 Kentico
3.4.23 Drupal
3.4.24 Coremedia
3.4.25 Sitecore
3.5 Information Governance
3.5.1 Acaveo
3.5.2 Ostia
3.5.3 Reltio
3.6 Digital Commerce
3.6.1 Ability Commerce
3.6.2 Big Commerce
3.6.3 Intuit Ecommerce
3.6.4 Shopify
3.6.5 Vendio
3.7 Crm & Customer Support
3.7.1 Supportcenter Plus
3.7.2 Isupport
3.7.3 Blazedesk
3.7.4 C-Desk
3.7.5 Act!
3.7.6 Nabd
3.7.7 Fuze Suite
3.7.8 Livechat
3.7.9 Eserviz
3.7.10 Happyfox
3.7.11 Mytips
3.7.12 Livehelpnow Suite
3.7.13 Mightycall
3.7.14 Chataroo
3.7.15 Customanswers Crm
3.7.16 Alwaysupport
3.7.17 Chat Interface For Operator
3.7.18 Nickelled
3.7.19 Oxygen Service Desk
3.7.20 Zoho Survey
3.7.21 Customer Support Suite
3.7.22 Boldchat
3.7.23 Achiever Crm
3.7.24 Activate
3.7.25 Agendize
3.7.26 Agi Self Service
3.7.27 Altitude Uci Suite
3.7.28 Any Request
3.7.29 Auric Prospector
3.7.30 Bamboo Cricket
3.7.31 Beetrack
3.7.32 Brand Embassy
3.7.33 Carecall
3.7.34 Casengo
3.7.35 Ccs Customer Service
3.7.36 Cincom Synchrony
3.7.37 Clickdesk
3.7.38 Close Support
3.7.39 Cloud 9 Support
3.7.40 Cognitive Virtual Assistant
3.7.41 Comarch Ngsf
3.7.42 Comm100 Help Deskview Profile
3.7.43 Communications Center
3.7.44 Consumer Relationship System
3.7.45 Conversocial
3.7.46 Coveo For Customer Service & Crm
3.7.47 Crm Express
3.7.48 Crmdesk
3.7.49 Crmunleashed
3.7.50 Customer Centric Framework
3.7.51 Customer Experience Management
3.7.52 Customer Service Help Desk
3.7.53 Customerfirst
3.7.54 E-Track
3.7.55 Ecommsource
3.7.56 Egain Suite
3.7.57 Eptica Entreprise Suite
3.8 Ecm & File Sharing
3.8.1 Acronis Activecho
3.8.2 Citrix Sharefile
3.8.3 Druva Insync
3.8.4 Egnyte Business File Sharing
3.8.5 Emc Syncplicity
3.8.6 Hyland Software
3.8.7 Ibm
3.8.8 Microsoft
3.8.9 Opentext
3.8.10 Perceptive Software
3.8.11 Huddle
3.8.12 Oxygen Cloud
3.9 Workforce Management
3.9.1 Chetu
3.9.2 Ceridian
3.9.3 Oracle
3.9.4 Sap/Successfactors
3.9.5 Ibm / Kenexa
3.9.6 Infor
3.9.7 Ultimate Software
3.9.8 Workday
3.9.9 Peoplefluent
3.9.10 Adp
3.9.11 Silkroad
3.9.12 Saba
3.9.13 Financialforce Hcm
3.9.14 Hrsoft
3.9.15 Lumesse
3.9.16 Kronos
3.9.17 Sumtotal Systems
3.9.18 Halogen
3.9.19 Cornerstone Ondemand
3.9.20 Benefitfocus Eenrollment
3.9.21 Paycom
3.9.22 Paylocity
4.0 Market Projections 2015
4.1 Global Social Cloud Business Application Market 2015
4.2 Social Cloud Business Application Market By Industry Segment 2015
4.3 Social Cloud Business Application Market By Development Platform 2015
4.4 Social Cloud Business Application Market By Business Model 2015
4.5 Social Cloud Business Application Market By Geographic Segment 2015
4.6 Enterprise Adoption Rate Of Social Business Services 2015
4.7 Social Business Application Major Vendor Revenue Forecast 2015
5.0 Ecosystem Analysis
5.1 Vendor
5.2 Cloud Service Providers
5.3 Social Media Network
5.4 End User
5.5 Software Manufacturer
5.6 Government
5.7 Telecommunication
6.0 Vendor Analysis
6.1 Ibm
6.1.1 Ibm Smartcloud
6.1.2 Ibm Smartcloud Orchestrator
6.1.3 Ibm Connections And Ibm Notes And Domino Social Edition
6.1.4 Swot Analysis
6.2 Salesforce
6.2.1 Chatter
6.2.2 Salesforce Social Crm
6.3 Microsoft
6.3.1 Microsoft Office 365 And Connected Experience
6.3.2 Public Cloud - Windows Azure
6.3.3 Private Cloud - Windows Server And Systems Center
6.3.4 Microsoft Dynamics Crm Online
6.3.5 Sharepoint
6.3.6 Microsoft Skydrive
6.3.7 Orange And Microsoft Cloud Partnership Case
6.4 Yammer
6.4.1 Yammer And Office
6.4.2 Yammer And Sharepoint Server
6.4.3 Swot Analysis
6.5 Newsgator
6.5.1 Success Case With Accenture
6.5.2 Success Case With Cme Federal Credit Union
6.5.3 Success Case With American Family Insurance
6.6 Jive
6.6.1 Jive Social Business Platform
6.6.2 Swot Analysis
6.6.3 Success Case Of Jive Social Intranet With Alcatel-Lucent
6.6.4 Success Case With Liveperson
6.7 Telligent
6.7.1 Success Case With Dell
6.8 Socialtext
6.8.1 Swot Analysis
6.9 Mzinga
6.9.1 Mzinga Omnisocial
6.10 Communispace
6.10.1 Full-Service Solution
6.10.2 Bullying Prevention Campaign Case
6.11 Lithium
6.11.1 Lithium Social Web: The Social Customer Experience Platform
6.11.2 Social Solutions For Marketing, Commerce And Support
6.12 Successfactors: An Sap Company
6.12.1 Successfactors Bizx Suite
6.12.2 Success Case With Siemens
6.13 Citrix
6.13.1 Goto Cloud Services
6.14 Oracle Social Services
6.15 Saba Poople Cloud
6.16 Cisco Webex Social
6.16.1 Swot Analysis
6.17 Pokeshot///Smz
6.17.1 Public Sector Community
6.17.2 Pokeshot///Smarterpath
6.17.3 Translation Manager
6.17.4 Social Connector For Cisco, Sametime And Lotus Notes
6.17.5 Security Extension
7.0 Case Study Analysis Of Success Scenarios
7.1 Linkedin Online Recruitment Business
7.2 Facebook And Twitter Case As Enabler
7.3 Restaurant Business Case On Pt Bambu Desa
7.4 Satel Oy And Ford Case
7.5 Climate Asia Pacific Case
7.6 Oxfam Case On Advocacy Through Social Media
7.7 Assist Case On Social Capacity Building
7.8 Ferring Italy Spa Implementation Case
8.0 Conclusions And Recommendations
8.1 Recommendation For Vendors
8.2 Recommendation For Organizations

Figures

Figure 1: Reasons Of Cloud Computing Adoption To Social Businesses
Figure 2: Social Customer Conversion Ecosystem
Figure 3: Building Block Techniques For Social Business Capabilities
Figure 4: Social Collaboration Component And Business Activities Part
Figure 5: Social Collaboration Component And Business Activities Part
Figure 6: Social Collaboration Component And Business Activities Part
Figure 7: Parameters To Assess Social Business Capabilities
Figure 8: Sample List Of Business Outcomes
Figure 9: Industry Vs. Nuance
Figure 10: Major Obstacles Of Cloud Based Social Business Services
Figure 11: Global Social Cloud Bus App Market By Enterprise Spend 2015
Figure 12: Enterprise Social Business App At Least One 2015
Figure 13: Vendor In Social Business Services In Cloud Ecosystem
Figure 14: Engagement Ratios By Internal, External, And Unified Social Network
Figure 15: Market Share Of Major Social Networking Media
Figure 16: Ibm’S Investment For Business Partner Growth
Figure 17: Saleforce Solution Dimensions For Social Business
Figure 18: Salesforce Chatter Dynamic Interface
Figure 19: Upcoming Enhanced Experience With Yammer Social & Office
Figure 20: Jive Social Business Platform
Figure 21: Full-Service Solution Sketch
Figure 22: Interface Of Bullying Prevention Campaign Site
Figure 23: Lithium Social Customer Experience Platform

Tables

Table 1: Global Social Cloud Business App Market By Segment 2015
Table 2: Social Cloud Business App Market By Major Functions 2015
Table 3: Social Cloud Bus App Market By Desktop, Mobile & Platform 2015
Table 4: Social Cloud Business App Market Saas Vs. Paas Model 2015
Table 5: Social Cloud Business App Market Region 2015
Table 6: Social Business App Major Vendor Revenue Projection 2015
Table 7: Government Cost Reduction Due To Social Cloud Business 2015

Big Data Market: Business Case, Market Analysis & Forecasts 2015

1 Introduction
1.1 Executive Summary
1.2 Topics Covered
1.3 Key Findings
1.4 Target Audience
1.5 Companies Mentioned
2 Big Data Technology & Business Case
2.1 Defining Big Data
2.2 Key Characteristics Of Big Data
2.2.1 Volume
2.2.2 Variety
2.2.3 Velocity
2.2.4 Variability
2.2.5 Complexity
2.3 Big Data Technology
2.3.1 Hadoop
2.3.2 Other Apache Projects
2.3.3 Nosql
2.3.3.1 Hbase
2.3.3.2 Cassandra
2.3.3.3 Mongo Db
2.3.3.4 Riak
2.3.3.5 Couchdb
2.3.4 Mpp Databases
2.3.5 Others And Emerging Technologies
2.3.5.1 Storm
2.3.5.2 Drill
2.3.5.3 Dremel
2.3.5.4 Sap Hana
2.3.5.5 Gremlin & Giraph
2.3.6 New Paradigms And Techniques
2.3.6.1 Streaming Analytics
2.3.6.2 Cloud Technology
2.3.6.3 Google Search
2.3.6.4 Customize Analytical Tools
2.3.6.5 Internet Keywords
2.3.6.6 Gamification
2.4 Big Data Roadmap
2.5 Market Drivers
2.5.1 Data Volume & Variety
2.5.2 Increasing Adoption Of Big Data By Enterprises And Telecom
2.5.3 Maturation Of Big Data Software
2.5.4 Continued Investments In Big Data By Web Giants
2.5.5 Business Drivers
2.6 Market Barriers
2.6.1 Privacy And Security: The ‘Big’ Barrier
2.6.2 Workforce Re-Skilling And Organizational Resistance
2.6.3 Lack Of Clear Big Data Strategies
2.6.4 Technical Challenges: Scalability & Maintenance
2.6.5 Big Data Development Expertise
3 Key Investment Sectors For Big Data
3.1 Industrial Internet And Machine-To-Machine
3.1.1 Big Data In M2M
3.1.2 Vertical Opportunities
3.2 Retail And Hospitality
3.2.1 Improving Accuracy Of Forecasts & Stock Management
3.2.2 Determining Buying Patterns
3.2.3 Hospitality Use Cases
3.2.4 Personalized Marketing
3.3 Media
3.3.1 Social Media
3.3.2 Social Gaming Analytics
3.3.3 Usage Of Social Media Analytics By Other Verticals
3.3.4 Internet Keyword Search
3.4 Utilities
3.4.1 Analysis Of Operational Data
3.4.2 Application Areas For The Future
3.5 Financial Services
3.5.1 Fraud Analysis, Mitigation & Risk Profiling
3.5.2 Merchant-Funded Reward Programs
3.5.3 Customer Segmentation
3.5.4 Customer Retention & Personalized Product Offering
3.5.5 Insurance Companies
3.6 Healthcare And Pharmaceutical
3.6.1 Drug Development
3.6.2 Medical Data Analytics
3.6.3 Case Study: Identifying Heartbeat Patterns
3.7 Telecommunications
3.7.1 Telco Analytics: Customer/Usage Profiling And Service Optimization
3.7.2 Big Data Analytic Tools
3.7.3 Speech Analytics
3.7.4 New Products And Services
3.8 Government And Homeland Security
3.8.1 Big Data Research
3.8.2 Statistical Analysis
3.8.3 Language Translation
3.8.4 Developing New Applications For The Public
3.8.5 Tracking Crime
3.8.6 Intelligence Gathering
3.8.7 Fraud Detection & Revenue Generation
3.9 Other Sectors
3.9.1 Aviation
3.9.2 Transportation & Logistics: Optimizing Fleet Usage
3.9.3 Sports: Real-Time Processing Of Statistics
3.9.4 Education
3.9.5 Manufacturing
4 The Big Data Value Chain
4.1 How Fragmented Is The Big Data Value Chain?
4.2 Data Acquisitioning & Provisioning
4.3 Data Warehousing & Business Intelligence
4.4 Analytics & Virtualization
4.5 Actioning And Business Process Management
4.6 Data Governance
5 Big Data Analytics
5.1 What Is Big Data Analytics?
5.2 The Importance Of Big Data Analytics
5.3 Reactive Vs. Proactive Analytics
5.4 Technology And Implementation Approaches
5.4.1 Grid Computing
5.4.2 In-Database Processing
5.4.3 In-Memory Analytics
5.4.4 Data Mining
5.4.5 Predictive Analytics
5.4.6 Natural Language Processing
5.4.7 Text Analytics
5.4.8 Visual Analytics
5.4.9 Association Rule Learning
5.4.10 Classification Tree Analysis
5.4.11 Machine Learning
5.4.11.1 Neural Networks
5.4.11.2 Multilayer Perceptron (Mlp)
5.4.11.3 Radial Basis Functions
5.4.11.4 Support Vector Machines
5.4.11.5 Naïve Bayes
5.4.11.6 K-Nearest Neighbors
5.4.11.7 Geospatial Predictive Modelling
5.4.12 Regression Analysis
5.4.13 Social Network Analysis
6 Standardization And Regulatory Initiatives
6.1 Cloud Standards Customer Council - Big Data Working Group
6.2 National Institute Of Standards And Technology - Big Data Working Group
6.3 Oasis
6.4 Open Data Foundation
6.5 Open Data Center Alliance
6.6 Cloud Security Alliance - Big Data Working Group
6.7 International Telecommunications Union
6.8 International Organization For Standardization
6.9 International Organization For Standardization)
7 Key Players In The Big Data Market
7.1 Vendor Assessment Matrix
7.2 1010Data
7.3 Actuate Corporation
7.4 Accenture
7.5 Amazon
7.6 Apache Software Foundation
7.7 Aptean (Formerly Cdc Software)
7.8 Booz Allen Hamilton
7.9 Cap Gemini
7.10 Cisco Systems
7.11 Cloudera
7.12 Computer Science Corporation
7.13 Datadirect Network
7.14 Dell
7.15 Deloitte
7.16 Emc
7.17 Facebook
7.18 Fujitsu
7.19 General Electric
7.20 Gooddata Corporation
7.21 Google
7.22 Guavus
7.23 Hitachi Data Systems
7.24 Hortonworks
7.25 Hp
7.26 Ibm
7.27 Informatica
7.28 Intel
7.29 Jaspersoft
7.30 Juniper Networks
7.31 Marklogic
7.32 Microsoft
7.33 Mongodb (Formerly 10Gen)
7.34 Mu Sigma
7.35 Netapp
7.36 Ntt Data
7.37 Opera Solutions
7.38 Oracle
7.39 Pentaho
7.40 Platfora
7.41 Qliktech
7.42 Quantum
7.43 Rackspace
7.44 Revolution Analytics
7.45 Salesforce
7.46 Sap
7.47 Sas Institute
7.48 Sisense
7.49 Software Ag/Terracotta
7.50 Splunk
7.51 Sqrrl
7.52 Supermicro
7.53 Tableau Software
7.54 Tata Consultancy Services
7.55 Teradata
7.56 Think Big Analytics
7.57 Tibco
7.58 Tidemark Systems
7.59 Vmware (Part Of Emc)
7.60 Wipro
7.61 Zettics
8 Market Analysis
8.1 Big Data Revenue 2014 - 2020
8.2 Big Data Revenue By Functional Area 2014 - 2020
8.2.1 Supply Chain Management
8.2.2 Business Intelligence
8.2.3 Application Infrastructure & Middleware
8.2.4 Data Integration Tools & Data Quality Tools
8.2.5 Database Management Systems
8.2.6 Big Data Social & Content Analytics
8.2.7 Big Data Storage Management
8.2.8 Big Data Professional Services
8.3 Big Data Revenue By Region 2014 - 2020
8.3.1 Asia Pacific
8.3.2 Eastern Europe
8.3.3 Latin & Central America
8.3.4 Middle East & Africa
8.3.5 North America
8.3.6 Western Europe

Figures

Figure 1: Nosql Vs Legacy Db Performance Comparisons
Figure 2: 2014 Gartner Hype Cycle For Emerging Technologies
Figure 3: Roadmap Big Data Technologies 2014 - 2030
Figure 4: The Big Data Value Chain
Figure 5: Big Data Vendor Ranking Matrix
Figure 6: Big Data Revenue 2013 - 2020
Figure 7: Big Data Revenue By Functional Area 2013 - 2020
Figure 8: Big Data Supply Chain Management Revenue 2013 - 2020
Figure 9: Big Data Supply Business Intelligence Revenue 2013 - 2020
Figure 10: Big Data Application Infrastructure & Middleware Revenue 2013 - 2020
Figure 11: Big Data Integration And Quality Tools Revenue 2013 - 2020
Figure 12: Big Data Db Management Systems Revenue 2013 - 2020
Figure 13: Big Data Social & Content Analytics Revenue 2013 - 2020
Figure 14: Big Data Storage Management Revenue 2013 - 2020
Figure 15: Big Data Professional Services Revenue 2013 - 2020
Figure 16: Big Data Revenue By Region 2013 - 2020
Figure 17: Asia Pacific Big Data Revenue 2013 - 2020
Figure 18: Eastern Europe Big Data Revenue 2013 - 2020
Figure 19: Latin & Central America Big Data Revenue 2013 - 2020
Figure 20: Middle East & Africa Big Data Revenue 2013 - 2020
Figure 21: North America Big Data Revenue 2013 - 2020
Figure 22: Western Europe Big Data Revenue 2013 - 2020

Mobile Application Marketplace 2015: Market Analysis And Assessment Of Future Evolution And Opportunities

1 Introduction
1.1 Executive Summary
1.2 Target Audience
1.3 Companies Mentioned
2 Mobile Applications Overview
2.1 Definition Of A Mobile Applications
2.2 What Separates An App From A Bundled Device Feature?
2.3 Examples Of Current Mobile Apps
3 Mobile Platforms (Operating Systems)
3.1 Oha Android (Free And Open Source)
3.2 Ios From Apple
3.3 Blackberry 10 From Rim
3.4 Windows Mobile From Microsoft
3.5 Blackberry Os From Rim
3.6 Brew From Qualcomm
3.7 Symbian Os From Nokia And Accenture
3.8 Firefox Os From Mozilla Foundation
3.9 Sailfish Os From Jolla
3.10 Tizen From The Linuz Foundation
3.11 Ubuntu From Canonical Ltd.
4 Mobile Programming
4.1 Widgets
4.2 Hardware Widgets
4.3 Hardware And Software Evolution
4.3.1 Hardware Evolution And Handset Manufacturers Market Share
4.3.2 The Smartphone Revolution
4.3.3 Development Platforms
4.3.4 Html5
4.3.5 Html And Mini Browsers
4.3.6 Adobe, Flash, And Silverlight
4.3.7 Javascript
4.3.8 Ajax
4.3.9 Future Directions Of Mobile Development
5 Application Development Platforms
5.1 J2Me Platform
5.2 Platform Specific
5.2.1 Ios Sdk
5.2.2 Blackberry Os Development Tools
5.2.3 Nokia Development Tools
5.2.4 Motorola Development Tools
5.2.5 Lg Development Tools
5.2.6 Samsung Development Tools
5.2.7 Htc Development Tools
5.2.8 Sony Ericsson Development Tools
5.2.9 Android Development Tools
6 Key Development Concepts
6.1 Mobile Development Trends
6.1.1 Platforms
6.1.2 Programming Techniques
6.1.3 Mobile Optimization
6.1.4 Software Development Methodology
6.2 Native Programming Techniques
6.2.1 Size Constraints
6.2.1.1 Compact Code
6.2.1.2 Compact File Space
6.2.2 Display Constraints
6.2.2.1 Display Sizes And Standards
6.2.2.2 Multiple Displays
6.2.3 Input And Controls
6.2.3.1 Input Device Types
6.2.3.2 Keyboard
6.2.3.3 Touch Screen
6.2.3.4 Thumb Sticks, Roller Balls, And Direction Pads.
6.2.3.5 Environmental Controls
6.2.3.6 Motion And Orientation Sensors
6.2.3.7 Light Sensors
6.2.3.8 Proximity Sensor
6.2.3.9 Gyroscope
6.2.3.10 Accelerometer
6.2.3.11 Peripheral Access
6.2.3.12 Gps Onboard And Off
6.2.3.13 Bluetooth
6.2.3.14 Near Field Communication And S Beam
6.2.3.15 Touch Id
6.2.3.16 Stylus Pen
6.3 Network Access
6.3.1 Connection Persistence
6.3.2 Dial On Demand
6.3.3 Always On
6.3.4 Connection Types And Limitations
6.3.5 Cellular Data
6.3.6 Wifi
6.3.7 Bluetooth
6.3.8 Bluetooth Low Energy (Ble)
6.3.9 Processing
6.3.10 Platforms And Speeds
7 Mobile Application Market
7.1 Mobile Advertising
7.2 Market Summary
8 Application Store Case Studies
8.1 Case Study Blackberry (Rim)
8.2 Case Study Apple
8.3 Case Study Android
8.4 Case Study: Amazon App Store
8.5 Case Study Windows App Store
9 Market Size
9.1 Mobile Application Overall Market
9.2 Mobile Sales Potential
9.3 Forecasted Smart Phone Sales
9.4 Growth Indicators
9.5 Market Analysis
9.6 Application Store Market Performance
9.6.1 Apple App Store
9.6.2 Android Marketplace Analysis
10 Mobile Gaming Analytics
10.1.1 Monetizing Micro Transaction In F2P Model: Creating A Need Approach Is Key
10.1.2 Game Balancing Method In Micro Transaction Model
10.1.3 Potential Risk And Solution In F2P Virtual Economy
10.1.4 Pricing Decision Factors: Arpu Vs. Average Game Price Vs. Average Gamers
10.1.5 Product Life Cycle Of Mobile Game: Adoption Of Moore’S Lifecycle Model
10.1.6 Game Lifecycle Kpi Framework
10.1.7 Smartphones Vs. Portable Game Players
11 Wearable Devices Apps And Future Apps
11.1 Fitness Apps
11.2 Wearable Devices Payment Apps
11.3 Future Wearables Apps
11.3.1 Military Applications
11.3.2 Industry And Enterprise Applications
11.3.3 A Day In The Life Of A Celebrity App
11.3.4 In My Glass
12 Carrier And Vendor Adaptations
12.1 Topology And Network Changes
12.1.1 Policy Changes
12.1.2 Open Network Movements
12.1.3 Billing Plan Changes
12.1.4 Infrastructure Hardware Changes
12.1.5 Location Based Services
12.1.6 Wifi Localized Service Hosting
12.1.7 Handset Manufacturer Changes
12.1.8 Integrating New Handset Features
12.1.9 Evolving The Handset
12.1.10 Multiple Platform Mobile Operating Systems
13 App Publishers Analysis
13.1 Gameloft
13.2 Gungho Online
13.3 Electronic Arts
13.4 Zynga
13.5 Dena
13.6 Sega
13.7 King
14 Future Of Mobile Applications
14.1 Communication Enabled Apps
14.1.1 Direct Api Revenue
14.1.2 Data Monetization
14.1.3 Cost Savings
14.1.4 Higher Usage
14.1.5 Churn Reduction
14.2 Embedded Entertainment And Gamified Apps
14.2.1 Gamification
14.2.2 Wearable Gamification
14.2.3 Mobile Social Gamification
14.2.4 Cloud Gamification
14.3 Cross Platform Apps
14.3.1 Smartphones, Tablets, Wearable Tech And More
14.3.2 Mobile/Wireless Apps Everywhere
14.4 The Impact Of Smac
14.4.1 Social, Mobile, Analytics, And Cloud (Smac)
14.4.2 Smac Stack
14.4.3 Smac And Enterprise Mobile Market And Apps

Tables

Table 1: Example Of The Most Successful Apps
Table 2: Apps Revenues In Apple App And Google Play Stores
Table 3: Handsets Manufacturer Market Share
Table 4: Mobile/Tablet Browser Share
Table 5: Mobile Platform Market Share 2012 - 2020
Table 6: Smartphone Market Swot
Table 7: Key Considerable Mobile Gaming Strategies
Table 8: Mobile Gaming Business Model Descriptions
Table 9 Game Balancing Methods In Virtual Economy
Table 10: Potential Risk & Solution In F2P Virtual Economy
Table 11: Revenue Vs. Costs In Gaming App Business
Table 12: Gameloft Most Successful Apps
Table 13: Gungho Online Entertainment, Inc Most Successful Apps
Table 14: Ea Most Successful Apps
Table 15: Zynga Most Successful Apps
Table 16: Dena Most Successful Apps
Table 17: Sega Most Successful App
Table 18: King Applications

Figures

Figure 1: Iphone 6 And Iphone 6 Plus
Figure 2: Ios 8
Figure 3: Windows Phone 8 From Nokia
Figure 4: Blackberry Z10
Figure 5: First Mobile Widgets
Figure 6: Early Mobile Widgets And Hardware
Figure 7: The Rise Of The Smartphones Era
Figure 8: Classic Web App Vs. Ajax Web Application Model
Figure 9: Samsung Note Edge
Figure 10: Multi-Touch Screen
Figure 11: Touch Id
Figure 12: Blackberry Os 10.1
Figure 13: Amazon App Store
Figure 14: Apple App Store Vs. Itunes Music Sales
Figure 15: Mobile Gaming Business Models
Figure 16: Monetizing Micro-Transaction In F2P Model
Figure 17: Adoption Of Moore’S Lifecycle Model In Mobile Gaming
Figure 18: Sequential Steps Of Mobile Game Analytic Approach
Figure 19: Mobile Game Lifecycle Kpi Framework
Figure 20: Apple Watch Payments Using Nfc
Figure 21: A Day In A Life Of A Celebrity
Figure 22: Mobile App Store Framework

Data As A Service (Daas) Market And Forecasts 2015

1 Introduction
1.1 Executive Summary
1.2 Topics Covered
1.3 Key Findings
1.4 Target Audience
2 Daas Technologies
2.1 Cloud
2.2 Database Approaches And Solutions
2.2.1 Relational Database Management System (Rdbs)
2.2.2 Nosql
2.2.3 Hadoop
2.2.4 High Performance Computing Cluster (Hpcc)
2.2.5 Openstack
2.3 Daas And The Xaas Ecosystem
2.4 Open Data Center Alliance
2.5 Market Sizing By Horizontal
3 Daas Market
3.1 Market Overview
3.1.1 Data-As-A-Service: A Movement
3.1.2 Data Structure
3.1.3 Specialization
3.1.4 Vendors
3.2 Vendor Analysis And Prospects
3.2.1 Large Vendors: Bdaas
3.2.2 Mid-Sized Vendors
3.2.3 Small Vendors: Daas And Saas
3.2.4 Market Size: Bdaas Vs. Rdbms
3.3 Market Drivers And Constraints
3.3.1 Drivers
3.3.1.1 Business Intelligence And Daas Integration
3.3.1.2 The Cloud Enabler Daas
3.3.1.3 Xaas Drives Daas
3.3.2 Constraints
3.3.2.1 Issues Relating To Data-As-A-Service Integration
3.4 Barriers And Challenges To Daas Adoption
3.4.1 Enterprises Reluctance To Change
3.4.2 Responsibility Of Data Security Externalized
3.4.3 Security Concerns Are Real
3.4.4 Cyber Attacks
3.4.5 Unclear Agreements
3.4.6 Complexity Is A Deterrent
3.4.7 Lack Of Cloud Interoperability
3.4.8 Service Provider Resistance To Audits
3.4.9 Viability Of Third-Party Providers
3.4.10 No Move Of Systems And Data Is Without Cost
3.4.11 Lack Of Integration Features In The Public Cloud Results In Reduced Functionality
3.5 Market Share And Geographic Influence
3.6 Vendors
3.6.1 1010Data
3.6.2 Amazon
3.6.3 Clickfox
3.6.4 Datameer
3.6.5 Google
3.6.6 Hewlett-Packard
3.6.7 Ibm
3.6.8 Infosys
3.6.9 Microsoft
3.6.10 Oracle
3.6.11 Rackspace
3.6.12 Salesforce
3.6.13 Splunk
3.6.14 Teradata
3.6.15 Tresata
4 Daas Strategies
4.1 General Strategies
4.1.1 Tiered Data Focus
4.1.2 Value-Based Pricing
4.1.3 Open Development Environment
4.2 Specific Strategies
4.2.1 Service Ecosystem And Platforms
4.2.2 Bringing To Together Multiple Sources For Mash-Ups
4.2.3 Developing Value-Added Services (Vas) As Proof Points
4.2.4 Open Access To All Entities Including Competitors
4.2.5 Prepare For Big Opportunities With The Internet Of Things (Iot)
4.3 Service Provider Strategies
4.3.1 Telecom Network Operators
4.3.2 Data Center Providers
4.3.3 Managed Service Providers
4.4 Infrastructure Provider Strategies
4.4.1 Enable New Business Models
4.5 Application Developer Strategies
5 Daas Based Applications
5.1 Business Intelligence
5.2 Development Environments
5.3 Verification And Authorization
5.4 Reporting And Analytics
5.5 Daas In Healthcare
5.6 Daas And Wearable Technology
5.7 Daas In The Government Sector
5.8 Daas For Media And Entertainment
5.9 Daas For Telecoms
5.10 Daas For Insurance
5.11 Daas For Utilities And Energy Sector
5.12 Daas For Pharmaceuticals
5.13 Daas For Financial Services
6 Market Outlook And Future Of Daas
6.1 Recent Security Concerns
6.2 Cloud Trends
6.2.1 Hybrid Computing
6.2.2 Multi-Cloud
6.2.3 Cloud Bursting
6.3 General Data Trends
6.4 Enterprise Leverages Own Data And Telecom
6.4.1 Web Apis
6.4.2 Soa And Enterprise Apis
6.4.3 Cloud Apis
6.4.4 Telecom Apis
6.5 Data Federation Emerges For Daas
7 Conclusions
8 Appendix
8.1 Structured Vs. Unstructured Data
8.1.1 Structured Database Services In Telecom
8.1.2 Unstructured Database Services In Telecom And Enterprise
8.1.3 Emerging Hybrid (Structured/Unstructured) Database Services
8.2 Data Architecture And Functionality
8.2.1 Data Architecture
8.2.1.1 Data Models And Modelling
8.2.1.2 Daas Architecture
8.2.2 Data Mart Vs. Data Warehouse
8.2.3 Data Gateway
8.2.4 Data Mediation
8.3 Master Data Management (Mdm)
8.3.1 Understanding Mdm
8.3.1.1 Transactional Vs. Non-Transactional Data
8.3.1.2 Reference Vs. Analytics Data
8.3.2 Mdm And Daas
8.3.2.1 Data Acquisition And Provisioning
8.3.2.2 Data Warehousing And Business Intelligence
8.3.2.3 Analytics And Virtualization
8.3.2.4 Data Governance
8.4 Data Mining
8.4.1 Data Capture
8.4.1.1 Event Detection
8.4.1.2 Capture Methods
8.4.2 Data Mining Tools

Figures

Figure 2: Cloud Computing Service Model Stack And Principle Consumers
Figure 3: Daas Across Horizontal And Vertical Segments
Figure 8: Different Data Types And Functions In Daas
Figure 9: Ecosystem And Platform Model
Figure 10: Ecosystem And Platform Model
Figure 11: Daas And Iot Mediation For Smartgrid
Figure 12: Internet Of Things (Iot) And Daas
Figure 13: Telecom Api Value Chain For Daas
Figure 14: Daas, Verification And Authorization
Figure 15: Web Apis
Figure 16: Services Oriented Architecture
Figure 17: Cloud Services, Daas, And Apis
Figure 18: Telecom Apis
Figure 19: Federated Data Vs. Non-Federated Models
Figure 20: Federated Data At Functional Level
Figure 21: Federated Data At City Level
Figure 22: Federated Data At Global Level
Figure 23: Federation Requires Mediation Data
Figure 24: Mediation Data Synchronization
Figure 25: Hybrid Data In Next Generation Applications
Figure 26: Traditional Data Architecture
Figure 27: Data Architecture Modeling
Figure 28: Daas Data Architecture
Figure 29: Location Data Mediation
Figure 30: Data Mediation In Iot
Figure 31: Data Mediation For Smartgrids
Figure 32: Enterprise Data Types
Figure 33: Data Governance
Figure 34: Data Flow
Figure 35: Processing Streaming Data
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