Software Defined Everything (SDE) specifies the shift of technology in software defined way for accessing the storage, networks and data centers. The main function of SDE is to reduce the silos in the market. Software defined everything is segmented on the basis of type and application. The type segment is further bifurcated into SDN, SDS and SDDC. SDN offers a great amount of flexibility and more control over the programs and how the data packets and traffic travels across your network.
Cloud Computing plays vital role in the development and growth of SDE and SDN (Software defined networking). Many IT companies are adopting cloud computing in the network infrastructure for the better and efficient management. SDN helps in allowing the cloud service providers to host multiple number of virtual networks without any need of common separation isolation methods.
The SDE Market is expected to grow at a CAGR of 28% during the forecast period 2017–2023. The SDE market is driven by IoT and cloud computing adoption across industry verticals such as BFSI, aerospace & defense, retail, food & beverages, healthcare and automotive.
The major players included in this report are Dell, HPE, VMware, Extreme Networks, Nexenta Systems, Riverbed Technology, Silver Peak, Metaswitch Networks, Pivot3, Infoblox and others.
This report offers major trends, industry trends which is going to play a major role in SDE market during the forecasted year. Moreover, this report can also tailored as per the requirement by the users, and also available with deeper segmentation by regions, countries, and vendor profiling.
1. Introduction
1.1. Goal & Objective
1.2. Report Coverage
1.3. Supply Side Data Modelling & Methodology
1.4. Demand Side Data Modelling & Methodology
2. Executive Summary
3. Market Outlook
3.1. Introduction
3.2. Current & Future Outlook
3.3. DROC
3.3.1. Drivers
3.3.2. Restraints
3.3.3. Opportunities
3.3.4. Challenges
3.4. Market Entry Matrix
3.5. Market Opportunity Analysis
3.6. Market Regulations
3.7. Pricing Mix
3.8. Key Customers
3.9. Value Chain & Ecosystem
4. Demand Market Analysis
4.1. Software Defined Everything Market, By Type
4.2. Software-Defined Networking
4.2.1. Market Size & Forecasts, 2018-2025
4.3. Software Defined Data Centre
4.3.1. Market Size & Forecasts, 2018-2025
4.4. Software Defined Computing
4.4.1. Market Size & Forecasts, 2018-2025
4.5. Software Defined Storage
4.5.1. Market Size & Forecasts, 2018-2025
4.6. Others
4.6.1. Market Size & Forecasts, 2018-2025
5. Software Defined Everything Market Analysis, By Services
5.1. Introduction
5.2. Managed Services
5.2.1. Market Size By Region, 2018-2025
5.3. Consulting Services
5.3.1. Market Size By Region, 2018-2025
5.4. Integration and Deployment Services
5.4.1. Market Size By Region, 2018-2025
6. Software Defined Everything Market, By End-User
6.1. Retail
6.1.1. Market Size & Forecasts, 2018-2025
6.2. Telecom
6.2.1. Market Size & Forecasts, 2018-2025
6.3. Manufacturing
6.3.1. Market Size & Forecasts, 2018-2025
6.4. Government
6.4.1. Market Size & Forecasts, 2018-2025
6.5. Banking & Financial Services
6.5.1. Market Size & Forecasts, 2018-2025
6.6. Consumer Goods Industry
6.6.1. Market Size & Forecasts, 2018-2025
6.7. Logistics
6.7.1. Market Size & Forecasts, 2018-2025
6.8. Others
6.8.1. Market Size & Forecasts, 2018-2025
7. Supply Market Analysis
7.1. Strategic Benchmarking
7.2. Market Share Analysis
7.3. Key Players (Company Snapshot, Product Portfolio, Financials, and Strategic Analysis)
7.3.1. Dell
7.3.2. HPE
7.3.3. VMware
7.3.4. Extreme Networks
7.3.5. Nexenta Systems
7.3.6. Riverbed Technology
7.3.7. Silver Peak
7.3.8. Metaswitch Networks
7.3.9. Pivot3
7.3.10. Infoblox and others.
SDMR employs a three way data triangulation approach to arrive at market estimates. We use primary research, secondary research and data triangulation by top down and bottom up approach
Secondary Research:
Our research methodology involves in-depth desk research using various secondary sources. Data is gathered from association/government publications/databases, company websites, press releases, annual reports/presentations/sec filings, technical papers, journals, research papers, magazines, conferences, tradeshows, and blogs.
Key Data Points through secondary research-
Macro-economic data points
Import Export data
Identification of major market trends across various applications
Primary understanding of the industry for both the regions
Competitors analysis for the production capacities, key production sites, competitive landscape
Key customers
Production Capacity
Pricing Scenario
Cost Margin Analysis
Key Data Points through primary research-
Major factors driving the market and its end application markets
Comparative analysis and customer analysis
Regional presence
Collaborations or tie-ups
Annual Production, and sales
Profit Margins
Average Selling Price
Data Triangulation:
Data triangulation is done using top down and bottom approaches. However, to develop accurate market sizing estimations, both the methodologies are used to accurately arrive at the market size. Insert Image
