The Software Defined Networking Market was valued at USD 34.5 Billion in 2023 and is expected to reach USD 154.9 Billion by 2032, growing at a CAGR of 18.18% from 2024-2032.
The Software-Defined Networking market is accelerating, driven by the constant need for efficient network management and faster operational performance. SDN removes traditional networking complexities by decoupling the control plane from the data plane; it allows for centralized management and automation. Not only does this innovation decrease operational costs, but it also improves networks' flexibility and scalability, making SDN one of the key components of the modern IT infrastructure.
The increasing use of cloud computing and virtualization technologies is one of the major factors driving the adoption of the SDN market. With the ongoing shift of businesses to cloud-based ecosystems, they need a networking solution that is both nimble and flexible, to handle workload variability and maintain constant availability. SDN caters to these needs by allowing programmable network configurations and real-time optimization of the resources. In addition, the increasing adoption of Internet of Things devices and the growth of edge computing environments are boosting the need for SDN significantly. This new breed of applications and services would require a new generation of resilient and adaptable networking infrastructure to carry high data volumes and provide low-latency communications. SDN provides the speed and control needed to effectively manage these complex network ecosystems. The growing focus on network security is another reason pushing the SDN market. As cyber threats continue to increase, SDN holds the key to the successful deployment of new security measures and policies within large organizations thanks to its centralized management. An aggregated model is extremely useful when it comes to the real-time detection and prevention of security breaches.
The sector is faced with problems like how far SDN can be integrated into legacy systems and the expertise to look after SDN deployment. However, despite such challenges, SDN technology is progressing and its high benefits are likely to secure a high penetration of SDN in sectors such as telecommunications, healthcare, and finance.
Market Dynamis
Drivers
SDN supports dynamic and efficient network slicing for next-generation 5G networks.
As a core feature of next-generation 5G networks, SDN enables dynamic efficient network slicing. Network slicing is the ability to split one physical network into different virtual networks that can be customized for different use cases or requirements like one for ultra-low latency applications and the other for high bandwidth applications. It is especially important in the 5G era, when these use cases including enhanced mobile broadband, ultra-reliable low-latency communication, and massive machine-type communication need to coexist on a common infrastructure.
By providing centralized control and programmability, SDN enables network slicing. Operators can dynamically provision, change, and orchestrate virtual network slices through its software-based architecture. With this dynamic nature, every slice gets its own set of resources like bandwidth, latency, and security that are required based on its performance requirements. A slice for autonomous vehicles may have low latency requirements, while another slice for streaming services can be optimized for high bandwidth.
SDN is much more flexible and this helps to reduce operational complexity and costs. SDN allows deploying multiple slices on a single infrastructure instead of provisioning dedicated physical networks for each use case. This maximizes resource usage and accelerates service launches.
The software-defined networking market is driven by the growth of 5G networks, which is an important factor in the growth of the market. This will increase the demand for SDN solutions that provide fast and efficient network slicing for telecoms and enterprises as they build out 5G infrastructure. We expect market growth as telecom providers and enterprises build out their 5G infrastructure and require SDN solutions for efficient slicing
Restraints
Technical complexity in deploying and managing SDN networks poses challenges for organizations.
Organizations face significant technical difficulties in implementing and managing Software-Defined Networking solutions. SDN makes a fundamental distinction compared to classic networks, featuring strictly decoupled control and data planes and leveraging software-centric architecture. The transition requires an in-depth knowledge of SDN concepts, protocols, and tools, many organizations may not have. One of the biggest problems is the integration of SDN in legacy systems existing. Organizations today are left with hybrid environments integrating legacy and next-gen network architectures, which can lead to intricate customizations and painstaking testing to provide the interoperability and seamless connectivity that we have come to expect. This process is heavily time and costly, along with re-aligning the network policies and protocols to SDN frameworks.
SDN's centralized control is one of its biggest levers, but it also brings novel management challenges. Network administrators now need to know how to run and troubleshoot the SDN controller because it is the brain and heart of the network. Configuration errors or malfunctions in these controllers can result in outages that affect many customers, underscoring the importance of proper operational practices. In addition to deploying SDN, industry knowledge workers must be skilled in programming, network virtualization, and automation tools. Because of the scarcity of such talent in the market, the challenge organizations face while adopting such technology amplifies.
The advantages offered by SDN, including improved scalability, agility, and efficiency, outweigh these challenges and will continue to drive the technology's adoption. Overcoming them will be key to realizing the full promise of SDN in a landscape adopting networking capabilities that evolve generationally and horizontally — through workforce training, standardized protocols, and vendor support.
By Component
The solutions segment dominated the market and represented a significant revenue share of more than 74% in 2023, SDN solutions offer specialized, customized, and goal-based approaches for specific business needs as opposed to generalized services. To synchronize business functions with modern aspects of people and industry in general, companies are focusing on upgrading network performances and reliability. The SDN solutions in the market that major companies offer help businesses secure their network better, easy control of the network, seamless cloud integration, growing demand capability in traffic volumes, and application control distribution. Organizations with the budget have favored going with bespoke SDN solutions for end-to-end control and better network management.
The services segment is projected to exhibit the fastest CAGR during the forecast period. The growth that this segment witnessed primarily driven by the movement towards SDN technology is continuing to deepen while centralized control of resources and networks becomes increasingly important, the need for analysis and direction of increasing traffic volume and growing network threats compelling businesses and organizations to employ additional or improved security measures. SDN has services such as Consulting, training & maintenance, Integration & deployment, and managed services.
By Type
The open SDN segment dominated the market and accounted for a revenue share of more than 48% in 2023. Enterprises like user preference for protocol, development process, and standards openness because it promotes use, redistribution, and modification of software while removing constraints from purely proprietary solutions. Demand for open SDN solutions is expected to gain traction in the forecast period due to the flexibility provided by open SDN solutions, a collaborative approach allowing contributions by co-developers, versatility, innovation, and cost-effectiveness. The SDNs that are open identify potential and existing security threats very quickly and thereby allow a rapid response and address from multiple contributors.
The hybrid SDN segment is expected to register the fastest CAGR during the forecast period. Increased demand for hybrid SDN is mainly due to the capability of providing seamless integration of existing legacy systems without a complete change of technology, helping with operational continuity, flexibility, scaling of network resources, cost savings, and support for advanced technologies such as the IoT, cloud computing, and so on. Enterprises that are forced to continue with legacy systems due to dependencies on mission-critical business functionalities, extremely high risks associated with data migration activities, and even higher costs of replacements and subsequent integrations, are increasingly adopting the hybrid SDN.
Regional Analysis
In 2023, North America dominated the software-defined networking market, capturing a remarkable 38.0% of revenue share. Growing usage of cloud computing technology solutions in the region and increasing digital transformation of the business from several markets along with the large enterprises operating in the technology and innovation industry are some of the factors responsible for generating the need for enhanced security solutions of companies in North America. Availability and accessibility, cost effectiveness, and increasing adoption in by telecommunication industry are expected to boost the demand for this market in upcoming years.
Asia Pacific software-defined networking market is anticipated to present the fastest CAGR during the forecast period. This is owing to the never-before-seen growth in businesses operating in the region of digital transformation, increased demand for network management solutions that support advanced emerging technologies like artificial intelligence, IoT, and machine learning, and growing needs for network-enhanced capabilities to meet the rising problems of growing telecommunication sector in the region. This flourishing requirement of network management of urban networks and modern systems by the governmental sector is proving beneficial for the regional market as well, and in turn, escalating the demand for SDN solutions.
The major players are Cisco Systems, Inc., VMware, Inc., Juniper Networks, Inc., Huawei Technologies Co., Ltd., Arista Networks, Inc., Nokia Corporation, Hewlett Packard Enterprise (HPE), Big Switch Networks, Pluribus Networks, Ciena Corporation, Extreme Networks, Inc., Dell Technologies, Broadcom Inc. and others in the final report.
In November 2024, Cisco raised its annual revenue forecast, anticipating increased demand for its networking equipment driven by AI technologies and data centers. This strategic move underscores Cisco's commitment to enhancing its SDN offerings to meet the evolving needs of AI-driven infrastructures.
|
Report Attributes |
Details |
|
Market Size in 2023 |
USD 34.5 Billion |
|
Market Size by 2032 |
USD 154.9 Billion |
|
CAGR |
CAGR of 18.18% From 2024 to 2032 |
|
Base Year |
2023 |
|
Forecast Period |
2024-2032 |
|
Historical Data |
2020-2022 |
|
Report Scope & Coverage |
Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
|
Key Segments |
• By Components (Solutions,Services) |
|
Regional Analysis/Coverage |
North America (USA, Canada, Mexico), Europe |
|
Company Profiles |
Cisco Systems, Inc., VMware, Inc., Juniper Networks, Inc., Huawei Technologies Co., Ltd., Arista Networks, Inc., Nokia Corporation, Hewlett Packard Enterprise (HPE), Big Switch Networks, Pluribus Networks, Ciena Corporation, Extreme Networks, Inc., Dell Technologies, Broadcom Inc. |
|
Key Drivers |
• SDN supports dynamic and efficient network slicing for next-generation 5G networks. |
|
Restraints |
• Technical complexity in deploying and managing SDN networks poses challenges for organizations. |
Technical complexity in deploying and managing SDN networks poses challenges for organizations
SDN supports dynamic and efficient network slicing for next-generation 5G networks.
The Asia-Pacific is expected to register the fastest CAGR during the forecast period.
The CAGR of the Software Defined Networking Market during the forecast period is 18.18% from 2024-2032.
The Software Defined Networking Market was valued at USD 34.5 Billion in 2023 and is expected to reach USD 154.9 Billion by 2032, growing at a CAGR of 18.18% from 2024-2032.
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Feature Analysis, 2023
5.2 User Demographics, 2023
5.3 Integration Capabilities, by Software, 2023
5.4 Impact on Decision-making
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Software Defined Networking Market Segmentation, By Application
7.1 Chapter Overview
7.2 Solutions
7.2.1 Solutions Market Trends Analysis (2020-2032)
7.2.2 Solutions Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.3 Physical Network Infrastructure
7.2.3.1 Physical Network Infrastructure Market Trends Analysis (2020-2032)
7.2.3.2 Physical Network Infrastructure Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.4 Virtualization/Control Software
7.2.4.1 Virtualization/Control Software Market Trends Analysis (2020-2032)
7.2.4.2 Virtualization/Control Software Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.5 SDN Application
7.2.5.1 SDN Application Market Trends Analysis (2020-2032)
7.2.5.2 SDN Application Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.6 SDN Controllers
7.2.6.1 SDN Controllers Market Trends Analysis (2020-2032)
7.2.6.2 SDN Controllers Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Services
7.3.1 Services Market Trends Analysis (2020-2032)
7.3.2 Services Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3.3 Consulting
7.3.3.1 Consulting Market Trends Analysis (2020-2032)
7.3.3.2 Consulting Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3.4 Integration and Deployment
7.3.4.1 Integration and Deployment Market Trends Analysis (2020-2032)
7.3.4.2 Integration and Deployment Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3.5 Training and Maintenance
7.3.5.1 Training and Maintenance Market Trends Analysis (2020-2032)
7.3.5.2 Training and Maintenance Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3.6 Managed Services
7.3.6.1 Managed Services Market Trends Analysis (2020-2032)
7.3.6.2 Managed Services Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Software Defined Networking Market Segmentation, by Type
8.1 Chapter Overview
8.2 Open SDN
8.2.1 Open SDN Market Trends Analysis (2020-2032)
8.2.2 Open SDN market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 SDN via API
8.3.1 SDN via API Market Trends Analysis (2020-2032)
8.3.2 SDN via API Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 SDN via Overlay
8.4.1 SDN via Overlay Market Trends Analysis (2020-2032)
8.4.2 SDN via Overlay Market Size Estimates and Forecasts to 2032 (USD Billion)
8.5 Hybrid SDN
8.5.1 Hybrid SDN Market Trends Analysis (2020-2032)
8.5.2 Hybrid SDN Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Software Defined Networking Market Segmentation, by End-Use
9.1 Chapter Overview
9.2Enterprise
9.2.1Enterprise Market Trends Analysis (2020-2032)
9.2.2Enterprise Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Telecommunication Service Providers
9.3.1 Telecommunication Service Providers Market Trends Analysis (2020-2032)
9.3.2 Telecommunication Service Providers Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Cloud Services Providers
9.4.1 Cloud Services Providers Market Trends Analysis (2020-2032)
9.4.2 Cloud Services Providers Market Size Estimates and Forecasts to 2032 (USD Billion)
9.5 Managed Service Providers
9.5.1 Managed Service Providers Market Trends Analysis (2020-2032)
9.5.2 Managed Service Providers Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Software Defined Networking Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.4 North America Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.2.5 North America Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.6.2 USA Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.2.6.3 USA Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.7.2 Canada Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.2.7.3 Canada Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 MexicoSoftware Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.8.2 MexicoSoftware Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.2.8.3 MexicoSoftware Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Software Defined Networking Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.1.3 Eastern Europe Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.4 Eastern Europe Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.1.5 Eastern Europe Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.1.6 Poland
10.3.1.6.1 Poland Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.6.2 Poland Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.1.6.3 Poland Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.1.7 Romania
10.3.1.7.1 Romania Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.7.2 Romania Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.1.7.3 Romania Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.8.2 Hungary Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.1.8.3 Hungary Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.1.9 Turkey
10.3.1.9.1 Turkey Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.9.2 Turkey Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.1.9.3 Turkey Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.10.2 Rest of Eastern Europe Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.1.10.3 Rest of Eastern Europe Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Software Defined Networking Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.2.3 Western Europe Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.4 Western Europe Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.5 Western Europe Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.6 Germany
10.3.2.6.1 Germany Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.6.2 Germany Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.6.3 Germany Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.7 France
10.3.2.7.1 France Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.7.2 France Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.7.3 France Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.8 UK
10.3.2.8.1 UK Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.8.2 UK Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.8.3 UK Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.9 Italy
10.3.2.9.1 Italy Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.9.2 Italy Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.9.3 Italy Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.10 Spain
10.3.2.10.1 Spain Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.10.2 Spain Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.10.3 Spain Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.11.2 Netherlands Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.11.3 Netherlands Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.12.2 Switzerland Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.12.3 Switzerland Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.13 Austria
10.3.2.13.1 Austria Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.13.2 Austria Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.13.3 Austria Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.14.2 Rest of Western Europe Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.14.3 Rest of Western Europe Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4 Asia Pacific
10.4.1 Trends Analysis
10.4.2 Asia Pacific Software Defined Networking Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia Pacific Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.4 Asia Pacific Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.5 Asia Pacific Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.6.2 China Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.6.3 China Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.7.2 India Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.7.3 India Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.8.2 Japan Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.8.3 Japan Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.9.2 South Korea Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.9.3 South Korea Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.10 Vietnam
10.4.10.1 Vietnam Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.10.2 Vietnam Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.10.3 Vietnam Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.11 Singapore
10.4.11.1 Singapore Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.11.2 Singapore Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.11.3 Singapore Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.12 Australia
10.4.12.1 Australia Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.12.2 Australia Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.12.3 Australia Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.13 Rest of Asia Pacific
10.4.13.1 Rest of Asia Pacific Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia Pacific Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia Pacific Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Software Defined Networking Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.1.3 Middle East Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.4 Middle East Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.1.5 Middle East Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.1.6 UAE
10.5.1.6.1 UAE Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.6.2 UAE Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.1.6.3 UAE Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.7.2 Egypt Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.1.7.3 Egypt Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.8.2 Saudi Arabia Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.1.8.3 Saudi Arabia Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.9.2 Qatar Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.1.9.3 Qatar Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.10.2 Rest of Middle East Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.1.10.3 Rest of Middle East Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Software Defined Networking Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.2.3 Africa Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.4 Africa Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.2.5 Africa Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.6.2 South Africa Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.2.6.3 South Africa Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.7.2 Nigeria Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.2.7.3 Nigeria Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.8.2 Rest of Africa Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.2.8.3 Rest of Africa Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin AmericaSoftware Defined Networking Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin AmericaSoftware Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.4 Latin AmericaSoftware Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.6.5 Latin AmericaSoftware Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.6.2 Brazil Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.6.6.3 Brazil Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.7.2 Argentina Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.6.7.3 Argentina Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.6.8 Colombia
10.6.8.1 Colombia Software Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.8.2 Colombia Software Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.6.8.3 Colombia Software Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin AmericaSoftware Defined Networking Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.9.2 Rest of Latin AmericaSoftware Defined Networking Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.6.9.3 Rest of Latin AmericaSoftware Defined Networking Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11. Company Profiles
11.1 Cisco Systems, Inc
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 VMware, Inc
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 Juniper Networks, Inc.
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 Huawei Technologies Co., Ltd
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 Arista Networks, Inc.
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 Nokia Corporation
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 Hewlett Packard Enterprise
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 Wipro
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 Pluribus Networks
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 Ciena Corporation
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
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Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
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Key Segments:
By Components
Solutions
Physical Network Infrastructure
Virtualization/Control Software
SDN Application
SDN Controllers
Services
Consulting
Integration and Deployment
Training and Maintenance
Managed Services
By Type
Open SDN
SDN via API
SDN via Overlay
Hybrid SDN
By End-Use
Enterprise
Telecommunication Service Providers
Cloud Services Providers
Managed Service Providers
Request for Segment Customization as per your Business Requirement: Segment Customization Request
REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
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Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Product Matrix which gives a detailed comparison of product portfolio of each company
Geographic Analysis
Additional countries in any of the regions
Company Information
Detailed analysis and profiling of additional market players (Up to five)
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