Global SD-WAN and Intent-Based Networking Markets, 2020-2025 - Global Aggregate Intent-Based Network Market Will Exceed $5B by 2025

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Feb 12, 2020, 11:45 ET

DUBLIN, Feb. 12, 2020 /PRNewswire/ -- The "Enterprise Networking Optimization: SD-WAN and Intent-Based Networking 2020 - 2025" report has been added to ResearchAndMarkets.com's offering.

This enterprise networking optimization research analyzes the SD-WAN market including an evaluation of the players (vendors and service providers), strategies, technologies, and solutions. It includes analysis by Component, Appliance, Services, Deployment, Segment (Communication Service Providers, Enterprise, Industrial, and Government), and Enterprise Verticals with forecasts from 2020 to 2025.

It also evaluates the intent-based networking market including comparison of IBN with traditional networking in terms of architecture, capabilities, and benefits for carrier and enterprise networks. The report analyzes technologies, infrastructure, and the impact of implementing intent-based networking in conjunction with other emerging technologies such as Multi-access Edge Computing (MEC), 5G, AI, and IoT. The report also evaluates leading vendors, strategies, and solutions.

The report also provides market forecasts for 2020 to 2025 globally and regionally as well as by technology and solution. This includes Infrastructure, Solutions/Applications, Deployment Type, Degree of Virtualization, Network Type, Connection Type, Artificial Intelligence Type, Organization Type, and Industry Verticals.

Select Research Findings

Global aggregate intent-based network market will exceed $5B by 2025
Intent-based networking will fundamentally transform data center operations
SDX and SD-WAN technologies will be the foundation of intent-based networking
Combination of AI and IoT (AIoT) will add significant value to Intent-Based Networking
Over 70% of enterprise companies will deploy intent-based network in some form by 2025

SDN in support of Wide Area Networking (WAN), also known as SD-WAN, is rapidly achieving mainstream adoption as both network operators and enterprise take a software-centric approach to more optimally manage WAN operations and provide efficient access to cloud applications. Part of the reason for its popularity is the technology enables solutions that provide a more open hardware architecture configuration. This facilitates greater flexibility overall as well as ease of migration from proprietary boxes and multiprotocol label switching services, which is a dominant industry trend as networks increasingly utilize virtualized infrastructure and non-proprietary equipment.

Many consider SD-WAN part of the evolution of SDN as applied to existing networking technologies such as Multiprotocol Label Switching (MPLS), which directs data from one node to the next based on short path labels rather than long network addresses. SD-WAN was often applied as an overlay to existing network technologies such as MPLS virtual private networks and the Internet as a whole. SD-WAN saw early favor with enterprise networks on a managed service basis but has also gained great support with communication service providers (CSP) as a means of unifying networks that are increasingly becoming software-controlled and virtualized.

Intent-Based Networks capture business intent, and in so doing, bridge the gap between business operations and information technology. The benefits of intent-based networking are many and varied, but arguably all improvements stem from the ability for IBN to automate network management and orchestration in a proactive and intelligent manner. Accordingly, intent-based networking represents a solution set that is at the confluence of a few key technologies including machine learning (and other forms of artificial intelligence), Software Defined Networking (SDN), and Internet of Things (IoT) technologies.

One of the key capabilities of intent-based networking is the ability to monitor, identify and react in real-time to changing network conditions. This pertains to network (and related apps and services) provisioning and administration as well as proactively and autonomously managing change in operational conditions. As a core concept, intent-based networking is not completely new, as SDN capabilities have been evolving for many years. However, a much timelier development for intent-based networking is the advent of machine learning algorithms capable of providing network automation.

More specifically, intent-based networking is defined largely by the extent to which network orchestration is automated, including software that may implement changes autonomously. Networks are increasingly becoming more self-aware and capable of dynamic optimization, often in real-time. In some cases, changes are made to enhance a current state. In other cases, remediation is required to adjust a sub-optimal condition or situation that has gone awry. Analysts see this as an area in which machine learning will become extremely valuable for IBN as AI will provide networks the ability to identify and learn from patterns and behaviors, leading to autonomous decisionmaking, reducing human errors and costs while improving efficiency.

Topics and Chapters

SD-WAN Market by Components, Appliances, Services, Deployment, Segments and Verticals
1. Executive Summary
2. Introduction
3. SD-WAN Benefits
4. SD-WAN Market Drivers
5. SD-WAN Challenges and Opportunities
6. SD-WAN Vendor Analysis
7. SD-WAN Managed Service Provider Analysis
8. SD-WAN Market Analysis and Forecasts 2020-2025
9. Future Outlook for SD-WAN
10. Conclusions and Recommendations

Intent-Based Networking Market by Technology, Infrastructure, Solutions, Deployment Type, Network and Connection), Organization Type, and Industry Verticals
1. Executive Summary
2. Introduction
3. Intent-Based Networking Technology and Market Analysis
4. Intent-Based Networking Company Analysis
5. Intent-Based Networking Market Analysis and Forecasts 2020-2025
6. Conclusions and Recommendations

Companies Mentioned

128 Technology
A10 Networks
Adaptiv Networks
Amazon Web Services
Anuta Networks
Apstra Inc.
Aryaka Networks
ASCO TLC
AT&T
Avi Networks
Aviatrix Systems
Barefoot Networks
BCM One
BCN Telecom
Bigleaf Networks
BT Global Services
BullsEye Telecom
Cato Networks
CenturyLink
Cerium Networks
China Mobile
China Telecom Global
Cisco Systems Inc.
Citrix
Cloudgenix
CMC Networks
Colt
Comcast Business
Consolidated Communications
Cradlepoint
Epsilon
Exponential-e
Fatpipe
FireMon LLC
Fortinet Inc.
Forward Networks Inc.
Frontier Communications
Gemini Data
GeoLinks
Globe Telecom
Google
GTT
HPE
Huawei Technologies Co. Ltd.
Hutchison Global Communications
Indeni Ltd.
Infovista
Intentionet
Internet Solutions
Juniper Networks Inc.
Kalaam Telecom
KDDI
Lavelle Networks
Macquarie Telecom
Martello
Masergy
MegaPath
MetTel
Microsoft Azure
Mushroom Networks
NetFortris
NetOne Systems
Noction
NTT Communications
Nuage Networks (Nokia)
Nyansa
Optus
Oracle
Orange Business Services
PCCW Global
Peplink
PLDT
Pluribus Networks
Riverbed
Sify
Silver Peak
SingTel
SK Broadband
SoftBank
Spectrotel
Sprint
T-Systems
Tata Communications
Telefonica
TelePacific
Telia Carrier
Telstra
Telus
Vector Security Networks
VeloCloud (VMware)
Veriflow Systems
Verizon
Versa Networks
Viettel
Virgin Media
Vodafone
Vonage
Windstream
Zayo
Zenlayer

For more information about this report visit https://www.researchandmarkets.com/r/dngww

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