Network Automation Market Size, Scope, Forecast Report 2026 to 2035
Market Segmentation:
Network Automation Market by Offering -
• Software and Services
• Deployment and Integration Services
• Training and Support Services
• Managed Services
Network Automation Market by Network Automation Type -
• Orchestration Automation
• Provisioning Automation
• Script-driven Network Automation
• AI-driven Network Automation
• Intent-Based Network Automation
• Network Security Automation
• Other Network Automation Types
Network Automation Market by Network Type -
• Data Center Networks
• Cloud Networks
• Wireless Networks
• SD-WAN
• Campus Networks
• Other Network Types
Network Automation Market by End User -
• Service Providers and Enterprises
• Healthcare
• Manufacturing
• Retail & eCommerce
• Government & Defense
• Energy & Utilities
• Other Enterprises
Network Automation Market by Region-
North America-
• The US
• Canada
• Rest of North America
Europe-
• Germany
• United Kingdom
• France
• Italy
• Nordics
• Rest of Europe
Asia-Pacific-
• Japan
• China
• South Korea
• India
• Australia
• Rest of Asia-Pacific
Middle East and Africa-
• GCC & Saudi Arabia
• South Africa
• Rest of Middle East & Africa
Latin America-
• Brazil
• Rest of Latin America
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Network Automation Market Snapshot
Chapter 4. Global Network Automation Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Restraints
4.4. Opportunities
4.5. Trends
4.6. Network Automation Technology Development & Deployment Analysis
4.7. Network Automation Architecture, Components & Technology Analysis
4.8. Network Orchestration, Provisioning, Script-Driven & AI-Driven Automation Landscape Analysis
4.9. Intent-Based Networking & Network Security Automation Landscape Analysis
4.10. Data Center, Cloud, Wireless, SD-WAN & Campus Network Automation Landscape Analysis
4.11. Network Automation Market Value Chain Analysis
4.12. Porter’s Five Forces Analysis
4.13. Competitive Landscape & Market Share Analysis
4.14. Market Attractiveness Analysis
Chapter 5. Network Automation Market Segmentation 1: By Offering, Estimates & Trend Analysis
5.1. Market Share by Offering, 2025 & 2035
5.2. Market Size (Value US$ Mn) & Forecasts (2022–2035)
5.2.1. Software
5.2.2. Services
5.2.2.1. Deployment and Integration Services
5.2.2.2. Training and Support Services
5.2.2.3. Managed Services
Chapter 6. Network Automation Market Segmentation 2: By Network Automation Type, Estimates & Trend Analysis
6.1. Market Share by Network Automation Type, 2025 & 2035
6.2. Market Size (Value US$ Mn) & Forecasts (2022–2035)
6.2.1. Orchestration Automation
6.2.2. Provisioning Automation
6.2.3. Script-driven Network Automation
6.2.4. AI-driven Network Automation
6.2.5. Intent-Based Network Automation
6.2.6. Network Security Automation
6.2.7. Other Network Automation Types
Chapter 7. Network Automation Market Segmentation 3: By Network Type, Estimates & Trend Analysis
7.1. Market Share by Network Type, 2025 & 2035
7.2. Market Size (Value US$ Mn) & Forecasts (2022–2035)
7.2.1. Data Center Networks
7.2.2. Cloud Networks
7.2.3. Wireless Networks
7.2.4. SD-WAN
7.2.5. Campus Networks
7.2.6. Other Network Types
Chapter 8. Network Automation Market Segmentation 4: By End User, Estimates & Trend Analysis
8.1. Market Share by End User, 2025 & 2035
8.2. Market Size (Value US$ Mn) & Forecasts (2022–2035)
8.2.1. Service Providers
8.2.2. Enterprises
8.2.2.1. Healthcare
8.2.2.2. Manufacturing
8.2.2.3. Retail & eCommerce
8.2.2.4. Government & Defense
8.2.2.5. Energy & Utilities
8.2.2.6. Other Enterprises
Chapter 9. Network Automation Market Segmentation 5: By Geography, Estimates & Trend Analysis
9.1. Global Network Automation Market Regional Snapshot, 2025 & 2035
9.2. North America
9.2.1. North America Network Automation Market Revenue (US$ Million) Estimates and Forecasts by Country, 2022–2035
9.2.1.1. U.S.
9.2.1.2. Canada
9.2.2. North America Market Revenue Estimates and Forecasts by Offering, 2022–2035
9.2.3. North America Market Revenue Estimates and Forecasts by Network Automation Type, 2022–2035
9.2.4. North America Market Revenue Estimates and Forecasts by Network Type, 2022–2035
9.2.5. North America Market Revenue Estimates and Forecasts by End User, 2022–2035
9.3. Europe
9.3.1. Europe Network Automation Market Revenue (US$ Million) Estimates and Forecasts by Country, 2022–2035
9.3.1.1. Germany
9.3.1.2. U.K.
9.3.1.3. France
9.3.1.4. Italy
9.3.1.5. Spain
9.3.1.6. Netherlands
9.3.1.7. Sweden
9.3.1.8. Norway
9.3.1.9. Rest of Europe
9.3.2. Europe Market Revenue Estimates and Forecasts by Offering, 2022–2035
9.3.3. Europe Market Revenue Estimates and Forecasts by Network Automation Type, 2022–2035
9.3.4. Europe Market Revenue Estimates and Forecasts by Network Type, 2022–2035
9.3.5. Europe Market Revenue Estimates and Forecasts by End User, 2022–2035
9.4. Asia Pacific
9.4.1. Asia Pacific Network Automation Market Revenue (US$ Million) Estimates and Forecasts by Country, 2022–2035
9.4.1.1. China
9.4.1.2. Japan
9.4.1.3. India
9.4.1.4. South Korea
9.4.1.5. Australia
9.4.1.6. Southeast Asia
9.4.1.7. Rest of Asia Pacific
9.4.2. Asia Pacific Market Revenue Estimates and Forecasts by Offering, 2022–2035
9.4.3. Asia Pacific Market Revenue Estimates and Forecasts by Network Automation Type, 2022–2035
9.4.4. Asia Pacific Market Revenue Estimates and Forecasts by Network Type, 2022–2035
9.4.5. Asia Pacific Market Revenue Estimates and Forecasts by End User, 2022–2035
9.5. Latin America
9.5.1. Latin America Network Automation Market Revenue (US$ Million) Estimates and Forecasts by Country, 2022–2035
9.5.1.1. Brazil
9.5.1.2. Argentina
9.5.1.3. Mexico
9.5.1.4. Rest of Latin America
9.5.2. Latin America Market Revenue Estimates and Forecasts by Offering, 2022–2035
9.5.3. Latin America Market Revenue Estimates and Forecasts by Network Automation Type, 2022–2035
9.5.4. Latin America Market Revenue Estimates and Forecasts by Network Type, 2022–2035
9.5.5. Latin America Market Revenue Estimates and Forecasts by End User, 2022–2035
9.6. Middle East & Africa
9.6.1. Middle East & Africa Network Automation Market Revenue (US$ Million) Estimates and Forecasts by Country, 2022–2035
9.6.1.1. GCC
9.6.1.2. South Africa
9.6.1.3. Rest of Middle East & Africa
9.6.2. Middle East & Africa Market Revenue Estimates and Forecasts by Offering, 2022–2035
9.6.3. Middle East & Africa Market Revenue Estimates and Forecasts by Network Automation Type, 2022–2035
9.6.4. Middle East & Africa Market Revenue Estimates and Forecasts by Network Type, 2022–2035
9.6.5. Middle East & Africa Market Revenue Estimates and Forecasts by End User, 2022–2035
Chapter 10. Competitive Landscape
10.1. Market Share Analysis
10.2. Competitive Benchmarking
10.3. Major M&A, Partnerships, Collaborations, Product Launches, Strategic Investments, Regulatory Developments & Technology Developments (2022–2026)
10.4. Company Profiles
10.4.1. Cisco
10.4.2. IBM
10.4.3. HPE
10.4.4. Huawei
10.4.5. Broadcom
10.4.6. Arista Networks
10.4.7. Nokia
10.4.8. Ericsson
10.4.9. Extreme Networks
10.4.10. Fujitsu
10.4.11. NetBrain Technologies
10.4.12. Gluware
10.4.13. SolarWinds
10.4.14. Riverbed
10.4.15. Forward Networks
10.4.16. Palo Alto Networks
Research Design and Approach
This study employed a multi-step, mixed-method research approach that integrates:
- Secondary research
- Primary research
- Data triangulation
- Hybrid top-down and bottom-up modelling
- Forecasting and scenario analysis
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary Research
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Sources Consulted
Secondary data for the market study was gathered from multiple credible sources, including:
- Government databases, regulatory bodies, and public institutions
- International organizations (WHO, OECD, IMF, World Bank, etc.)
- Commercial and paid databases
- Industry associations, trade publications, and technical journals
- Company annual reports, investor presentations, press releases, and SEC filings
- Academic research papers, patents, and scientific literature
- Previous market research publications and syndicated reports
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary Research
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Stakeholders Interviewed
Primary interviews for this study involved:
- Manufacturers and suppliers in the market value chain
- Distributors, channel partners, and integrators
- End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
- Industry experts, technology specialists, consultants, and regulatory professionals
- Senior executives (CEOs, CTOs, VPs, Directors) and product managers
Interview Process
Interviews were conducted via:
- Structured and semi-structured questionnaires
- Telephonic and video interactions
- Email correspondences
- Expert consultation sessions
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
Data Processing, Normalization, and Validation
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
- Standardization of units (currency conversions, volume units, inflation adjustments)
- Cross-verification of data points across multiple secondary sources
- Normalization of inconsistent datasets
- Identification and resolution of data gaps
- Outlier detection and removal through algorithmic and manual checks
- Plausibility and coherence checks across segments and geographies
This ensured that the dataset used for modelling was clean, robust, and reliable.
Market Size Estimation and Data Triangulation
Bottom-Up Approach
The bottom-up approach involved aggregating segment-level data, such as:
- Company revenues
- Product-level sales
- Installed base/usage volumes
- Adoption and penetration rates
- Pricing analysis
This method was primarily used when detailed micro-level market data were available.
Top-Down Approach
The top-down approach used macro-level indicators:
- Parent market benchmarks
- Global/regional industry trends
- Economic indicators (GDP, demographics, spending patterns)
- Penetration and usage ratios
This approach was used for segments where granular data were limited or inconsistent.
Hybrid Triangulation Approach
To ensure accuracy, a triangulated hybrid model was used. This included:
- Reconciling top-down and bottom-up estimates
- Cross-checking revenues, volumes, and pricing assumptions
- Incorporating expert insights to validate segment splits and adoption rates
This multi-angle validation yielded the final market size.
Forecasting Framework and Scenario Modelling
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Forecasting Methods
- Time-series modelling
- S-curve and diffusion models (for emerging technologies)
- Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
- Price elasticity models
- Market maturity and lifecycle-based projections
Scenario Analysis
Given inherent uncertainties, three scenarios were constructed:
- Base-Case Scenario: Expected trajectory under current conditions
- Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
- Conservative Scenario: Slow adoption, regulatory delays, economic constraints
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.
Request Customization
Add countries, segments, company profiles, or extend forecast — free 10% customization with purchase.
Customize This Report →Enquire Before Buying
Speak with our analyst team about scope, methodology, pricing, or deliverable formats.
Enquire Now →Frequently Asked Questions
Network Automation Market Size is valued at USD 7.25 Bn in 2025 and is predicted to reach USD 17.16 Bn by the year 2035
Network Automation Market is expected to grow at a 9.2% CAGR during the forecast period for 2026 to 2035.
Cisco, IBM, HPE, Huawei, Broadcom, Arista Networks, Nokia, Ericsson, Extreme Networks, Fujitsu, NetBrain Technologies, Gluware, SolarWinds, Riverbed, Forward Networks, Palo Alto Networks.
Network Automation Market is segmented into Offering, Network Automation Type, Network Type, End User and By Region
North America region is leading the Network Automation Market.