Network Automation Market Size & Share 2022 to 2028
Market Size by Component (Software [Intent-based Networking, SD-WAN, Network Automation Tools], Service [Professional Service, Managed Service]), Network Type, Network Infrastructure, Deployment Type, Application & Forecast.
Report ID: GMI2805
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Published Date: January 2022
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Report Format: PDF
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Authors:
Preeti Wadhwani, Aishvarya Ambekar
Network Automation Market Size
Network Automation Market size exceeded USD 5 billion in 2021 and is estimated to grow at nearly 30% CAGR between 2022 and 2028.
Increasing need for network bandwidth, visibility, and adoption of connected devices is likely to drive the industry growth. Telecom operators and managed service providers use network automation technology to reduce the Mean Time To Repair (MTTR), avoid SLA violations, and maximize visibility to improve uptime. Furthermore, the adoption of SD-WAN infrastructure and increased network downtime due to errors will drive the market demand. The increase in demand for virtualization technology is supporting the market revenue.
The COVID-19 restrictions around the globe resulted in an upsurge in work-from-home across various industry verticals. This growing work-from-home trend resulted in the increasing demand for strong network for data transitions.
Network Automation Market Analysis
In Germany, the LAN type segment is expected to witness 10% CAGR through 2028 owing to the increasing adoptions in SME and startups across the country. Startup companies prefer to deploy LAN technologies in their organizations to modernize their IT infrastructure. Low deployment costs and high safety features have allowed key players to provide technical feasibility and economic benefits to their end users.
Intent-based networking segment in Canada held around 20% of the network automation market share in 2021 due to increasing demand for proactive monitoring with predictive automation via intent-based networking technology. The adoption of intent-based networking systems will enable the company to eliminate network latency, which will help to speed up the troubleshooting of problems. Intent-based networking is an extensive form of SDN that allows network administrators to define a desired number of networks and enables enterprises to reduce manual network programming.
In China, the physical network segment captured more than 55% of the revenue share in 2021 on account of large-scale investments by enterprises in legacy hardware network infrastructure and their reluctance to readily migrate to virtual network models. The physical network configuration allows enterprises to deploy physical network equipment in their organizations to perform the basic business functions. Moreover, a rise in the incidents of data thefts & security issues has driven the segment demand.
The on-premise network automation market in India account for about 65% share in 2021 led by increasing need of eliminating data thefts and security issues in public cloud infrastructure. Organizations offering their on-premise network automation solutions hold a greater degree of customization as compared to cloud service providers due to the deployment of network equipment within the organization.
In the UK, the IT & telecom application is poised to register growth rate of nearly 20% during 2022 to 2028. The telecom sector underwent major technological shifts to offer improved programmability and network efficiency to their customers. The rising usage of NFV technologies enabled telecom service providers to increase the use of virtualization in their networks. Several government initiatives for digitalization have resulted in an upsurge in the IT & telecom industry to meet the end-user demand. Moreover, the emergence of 5G technologies is set to offer advanced networking solutions.
North America network automation market size is predicted to generate over USD 14 billion revenue by 2028. The growth can be attributed to the widespread acceptance of advanced technologies such as intent- based networking, SD-WAN, and DevOps. The growing demand for deep learning algorithms in AI to control network equipment remotely has fueled the market growth. Such algorithms help market players to offer enhanced automation technologies, such as image processing and voice recognition, to their end users.
Network Automation Market Share
Industry participants are focusing on the development of innovative network automation solutions in order to gain competitive insights. For instance, in June 2021, IBM Corporation introduced IBM Cloud Pak for Network Automation, a new hybrid cloud AI-powered automation software for telecom and other communication service providers. This new solution helped the company to offer innovative network automation suites for communication service providers to support the smooth adoption of 5G networks.
Some of the key players operating in the network automation market are:
This network automation market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue in USD million from 2018 to 2028 for the following segments:
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Market, By Component
Market, By Type
Market, By Network Infrastructure
Market, By Deployment Model
Market, By Application
The above information has been provided for the following regions and countries:
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Security & defense sector journals and trade press
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →