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Social, Mobility, Analytics and Cloud (SMAC): Market Opportunity Analysis and Forecasts 2015 - 2020

Social, Mobility, Analytics and Cloud (SMAC): Market Opportunity Analysis and Forecasts 2015 - 2020
The convergence of social media, mobile, analytics, and cloud (SMAC) is one of the most impactful trends for both consumer and enterprise realization within digital media, communications, applications, content, and commerce. Instead of implementing solutions separately SMAC encourages an organization to build and deploy integrated solutions wherein social/mobile adds connectedness and cloud/analytics makes the organization more agile and responsive. This convergence also increases innovation to create new products, services, and customers. Mind Commerce predicts that SMAC convergence will continue shaping the future enterprise, making them ready to adopt more end-to-end technology solutions.

SMAC has changed the traditional work pattern of organization enabling internal and external customers to interact with enterprise and to become more informed decision maker. The SMAC solution market is predicted to generate considerable revenue through 2020 holding 80% of total enterprise IT investment. Individually, mobile related applications are going to contribute highest percentage of SMAC market. By way of example, IBM invested $4 billion last year and is expecting $40 billion in annual revenue by 2018.

This research evaluates SMAC market from a 360 degree perspective such as overview of SMAC technology, its impact on both market and enterprise, the SMAC induced structure of post-digital enterprise, implementation roadmap, and market size projections. 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.

Target Audience:

Social networking companies
Wireless device manufacturers
Telecom infrastructure suppliers
Big Data and analytics companies
Data as a Service (DaaS) companies
Social and cloud application developers
Cloud-based service providers of all types
Data processing and management companies
Enterprise mobility and application management

Report Benefits:

Forecasts through 2020
Learn from SMAC case studies
Understand the SMAC market opportunity
Identify key areas for IT personnel development
Identify leading companies in SMAC marketplace
Understand the role of DevOps in SMAC app lifecycle
Identify opportunities for SMAC converged apps and services

Companies in Report:

AFL, Amazon, AOL, Apple, Basix, Blockbuster, Citibank, Critix, Delta Airlines, Eli Lilly, EMC, Facebook, Flickr, Foursuare, Google (including YouTube), Groupon, IBM, Infosys, Kodak, LinkedIn, Martin Point, Microsoft, MPD, Netflix, Nokia, Opera Solutions, PWC, Redbus, rockspace,, Santander Bank, Solarwinds, Swiss Re, TCS, Tesco, Tesco Lotus, TVS, Twitter, Verizon, Vmware, Wal Mart, WIPRO

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 Introduction To Smac
2.1 What Is Smac Convergence
2.2 Smac Stack And Market Impact
2.3 Smac Impact On Digital Channel
3.0 Pillars Of Smac
3.1 Social
3.1.1 Social Media And Its Impact
3.1.2 Social Media In Regions
3.1.3 Reasons Of Social Media Use
3.1.4 Social Media Benefits For Business
3.1.5 Social Media Analytics
3.1.6 Enterprise Social Media Application Market
3.2 Mobile
3.2.1 Mobile Subscriber And Data Traffic
3.2.2 Mobile Penetration
3.2.3 Enterprise Mobile Market
3.2.4 Benefits Of Enterprise Mobility
3.2.5 Key Enterprise Trends In Mobile Arena
3.2.6 Key Industry Challenges Imposed By Mobile Trends
3.3 Analytics And Big Data
3.3.1 Big Data Market
3.3.2 Big Data Framework And Ecosystem
3.3.3 Data Sources
3.3.4 Big Data Implication To Business
3.3.5 Implementation Model
3.3.6 Big Data Purpose
3.3.7 Industry Verticals
3.4 Cloud
3.4.1 Cloud Computing And History
3.4.2 Cloud Computing Structure
3.4.3 Deployment Model
3.4.4 Cloud Computing Service Types
3.4.5 Cloud Computing Players And Their Role
3.4.6 Migration To Cloud
3.4.7 Cloud Service Benefits
3.4.8 Cloud Computing Market
3.4.9 Types Of Cloud Service
3.4.10 Growth Drivers
4.0 Business Transformation And Smac Convergence
4.1 Business Innovation
4.2 Contextual Information
4.3 Key Benefits To Innovation Areas And Processes In Enterprise
4.4 Technology Capabilities
4.5 Human Capital
4.6 Transition
4.7 Cost Structure
4.8 Organization’s Response To Smac
5.0 Post Digital Enterprise And Smac Testing Approach
5.1 Enterprise In Post Digital Era
5.2 Post Digital Customer And Engagement
5.3 Testing Approach For Smac Pack
5.4 Strategic Framework For Testing Smac Pack
6.0 Smac Market Projections
6.1 Global Enterprise Ict Spending 2015 – 2020
6.2 Smac Spending By Enterprise 2015 – 2020
6.3 Smac Individual Contribution 2020
6.4 Smac Market Share Among Regions 2020
7.0 Smac Market Outlook
7.1 Opportunity For Outsourcing Industry
7.2 Opportunity For Nonprofit Organizations
7.3 Legal Risk In Smac
7.3.1 Data Usage Restriction
7.3.2 Data Leakage Threat
7.3.3 Failed To Comply With Global Data Protection Laws
7.3.4 Data Protection Liability
7.3.5 Inappropriate Use Of Smac Data
7.4 Byod Trend In Smac
7.5 Big Data Analytics To Cloud
7.6 Recommended Vendor Approach
7.7 Role Of It Leaders
7.8 Smac Security Implication
8.0 Smac Implementation Roadmap
8.1 Develop An Open It Structure And Multichannel Platform
8.1.1 Open Architecture
8.1.2 Multichannel Platform
8.2 Cloud Should Be On The Core
8.3 Allow Open Mobile Access
8.3.1 Mobile Application Development And Connectivity
8.3.2 Mobile Device Management
8.3.3 Mobile Security
8.3.4 Mobile Analytics
8.4 Encourage Social Interaction
8.5 Use Analytics For Insight And Business Decision
8.5.1 Cloud‐based Deployment
8.6 Ensure Devops Culture For Faster Innovation
8.6.1 Devops Architecture
8.6.2 Devops Tool Chain
8.6.3 Monitor And Optimize
8.7 Implement Flexible Integration Model
9.0 Smac Success Case Study
9.1 Citibank Emerging Market Social Case In India
9.2 Tvs, Afl And Basix Mobile App Case
9.3 Ibm, Pwc, And Tcs Big Data Findings
9.4 Red Bus Big Data Case With Google’s Big Query
9.5 Citigroup And Santander Bank Big Data Banking Case
9.6 Martin’s Point And Eli Lilly Big Data Healthcare Case
9.7 Tesco And Wal-mart Big Data Retail Case
9.8 City Of Cologne Big Data Transportation Case
9.9 Mpd Big Data Government Case
9.10 Netflix Cloud Computing Case
9.11 Groupon Cloud Case
Figure 1: The Journey from Mainframe to SMAC Stack: The Fifth Wave
Figure 2: Typical SMAC Stack
Figure 3: Sample Model for Connecting Customers with SMAC Stack
Figure 4: Widget Winners vs. Digit Winners: The Impact of SMAC
Figure 5: Social Network Penetration by Region
Figure 6: Purpose of Internet Usage
Figure 7: Facebook vs. Twitter Impact on Customer Buying Decision
Figure 8: Benefits of Social Media for Business
Figure 9: Social Media Analytics Solution Model
Figure 10: Global Mobile Subscriber & Mobile Data Traffic Projection, through 2020
Figure 11: Mobile Penetration Rate by Regions through 2020
Figure 12: Enterprise Mobility Market Prediction through 2020
Figure 13: Benefits of Enterprise Mobility
Figure 14: Mobile Priorities in Different Role of Organization
Figure 15: Fragmentation of Mobile Apps
Figure 16: Global Cellular M2M Connectivity Trend
Figure 17: Big Data Framework
Figure 18: Three V’s of Analytics: Description vs. Attributes vs. Driver
Figure 19: Reduction of Data Storage Costs with Big Data and Cloud 2005 – 2015
Figure 20: Big Data Implementation Cycle
Figure 21: Purpose of Big Data Use
Figure 22: Big Data in Industry Vertical
Figure 23: Cloud Computing Trends
Figure 24: Cloud Computing Structure
Figure 25: Cloud Computing Deployment Model and Sample Vendors
Figure 26: Cloud Computing Structures and Service Types
Figure 27: Sample Players and Their Role in Cloud Computing
Figure 28: Enterprise Function Migration to Cloud Services
Figure 29: Enterprise Benefits Derived from Cloud Adoption
Figure 30: Global Cloud Computing Market through 2020
Figure 31: Iaas, PaaS, SaaS, and Cloud Service Market in $ Billion through 2020
Figure 32 Features of Pre-Digital vs. Digital vs. Post-Digital Era
Figure 33: Disruptive Technology vs. Innovation in Post-Digital Era
Figure 34: Integrated Testing Approach for SMAC Pack
Figure 35: Global Enterprise ICT Spending 2015 – 2020
Figure 36: Enterprise Spending on SMAC Technology Market 2015 – 2020
Figure 37: Social-Mobile-Analytics-Cloud to Total SMAC Market 2020
Figure 38: SMAC Market Share by Americas vs. APAC vs. Europe vs. MEA 2020
Figure 39: Factors Deriving Big Data to Cloud
Figure 40: Ownership vs. Investment Mapping Framework
Figure 41: DevOps Architecture Model
Figure 42: DevOps Tool Chain
Figure 43: SMAC Integration Continuum
Figure 44: Citibank OMG! Sales Campaign on Facebook
Table 1: Common and Custom Techniques for SMAC Pack

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