Network Automation Market by Component (Services, Solutions), Deployment Mode (Cloud, Hybrid, On-Premises), Organization Size, Technology, Application, Vertical - Global Forecast 2025-2032
Description
The Network Automation Market was valued at USD 6.04 billion in 2024 and is projected to grow to USD 7.32 billion in 2025, with a CAGR of 21.56%, reaching USD 28.81 billion by 2032.
Pioneering the Future of Network Automation with Hybrid Intelligence Integration, Responsive Infrastructure Design, and Agile Operations Management
Network automation has emerged as a strategic imperative, driven by the exponential growth in data traffic and the growing complexity of modern infrastructures. It transcends the traditional paradigm of manual configuration by introducing intelligent orchestration, programmability, and real-time analytics that empower organizations to respond swiftly to evolving business demands. By integrating hybrid intelligence frameworks, network architectures can leverage both rule-based automation and machine learning-driven insights to achieve a balance between predictability and adaptability.
Organizations across industries are accelerating cloud migrations and embracing agile operations to reduce time to market, optimize resource utilization, and maintain consistent policy enforcement. Automation reduces the risk of human error, enhances security posture through standardized configurations, and frees network engineers to focus on strategic initiatives rather than repetitive tasks. As digital ecosystems expand to encompass edge computing and Internet of Things deployments, the role of network automation in maintaining performance and reliability becomes ever more critical.
This executive summary delves into the transformative forces shaping network automation adoption, examining market segmentation dynamics, regional idiosyncrasies, and the impact of evolving trade policies. It synthesizes proprietary research methodologies, synthesizes expert perspectives, and outlines actionable recommendations for industry leaders seeking to harness the full potential of automated networks.
Navigating Unprecedented Transformative Shifts in Network Automation Driven by AI, Edge Computing, and Autonomous Service Orchestration Landscapes
The network automation landscape is undergoing unprecedented transformation as artificial intelligence, edge computing, and autonomous orchestration converge to redefine traditional architectures. Intelligent controllers and policy engines empowered by predictive analytics are no longer supplementary-they have become foundational elements that drive self-healing, self-optimizing, and self-securing networks. Concurrently, the rise of edge-native applications demands distributed automation frameworks that operate seamlessly across cloud, on-premises, and hybrid environments.
Innovative platforms are emerging that leverage digital twins and intent-based networking to model and simulate complex topologies before any changes are applied to production environments. This shift accelerates validation cycles, mitigates risk, and shortens innovation timelines. Moreover, the integration of zero-touch provisioning with software-defined networking is streamlining multi-domain orchestration, enabling service providers and large enterprises to deploy new capabilities in hours instead of weeks.
As networks evolve into adaptive, software-centric ecosystems, organizations must reevaluate governance, skills, and cultural paradigms. Breaking down silos between operations, development, and security teams is essential to unlock end-to-end automation. In this era of continuous deployment and volatile demand patterns, network automation platforms that can pivot in real time are poised to deliver the resilience and agility that digital business models require.
Assessing the 2025 Cumulative Impact of United States Tariffs on Supply Chains, Technology Procurement, and Service Delivery in Network Automation
The imposition of cumulative tariffs by the United States in 2025 has imposed significant pressure on global supply chains, particularly within the network automation sector. The increased duties on network hardware components, semiconductors, and specialized appliances have elevated procurement costs and introduced unprecedented variability into vendor contracts. As a result, organizations have been compelled to reassess sourcing strategies, with a renewed focus on near-shore manufacturing and local partnerships to mitigate exposure to fluctuating import levies.
In addition to hardware, software licensing models and professional services engagements have felt the ripple effects of trade policy shifts. Variations in component availability have extended lead times for critical network functions virtualization modules and edge compute nodes, compelling enterprises to implement advanced inventory management and predictive replenishment systems. Automated procurement workflows are now being employed to track real-time tariff classifications, optimize purchase orders, and adjust budget forecasts dynamically.
Despite these headwinds, many organizations view tariffs as a catalyst for longer-term resilience. The drive toward diversified supplier ecosystems, increased emphasis on total cost of ownership analysis, and accelerated adoption of cloud-based network services are emerging as strategic responses. By weaving automation into procurement, deployment, and ongoing maintenance workflows, leading enterprises are safeguarding continuity, preserving capex flexibility, and transforming tariff challenges into opportunities for architectural innovation.
Unveiling Segmentation Insights on How Components, Deployment Modes, Organization Sizes, Technologies, Applications, Verticals Drive Network Automation Adoption
When viewed through the lens of component diversity, network automation encompasses both services offerings and integrated solution sets. On the services side, organizations leverage managed service arrangements to offload routine configuration tasks while tapping professional services engagements for bespoke design and deployment expertise. Solutions range from lightweight orchestration platforms to comprehensive digital operations suites that embed intelligence throughout the network fabric.
Deployment mode considerations reveal distinct adoption curves: public cloud environments enable rapid scale-out of automation engines, while on-premises infrastructures appeal to regulated industries demanding tight data sovereignty. Hybrid implementations are gaining traction as enterprises seek predictable performance at the edge while retaining core policy control in centralized data centers.
Organizational maturity also informs automation strategies. Large enterprises invest in enterprise-wide frameworks that unify cross-domain workflows, whereas small and medium organizations prioritize targeted use cases to streamline configuration and change management. Technology segmentation underscores the prominence of AI and machine learning models working in tandem with analytics and visualization tools-spanning network analytics and performance monitoring-to drive continuous improvement. Additionally, virtualization technologies such as network functions virtualization, SD-WAN overlays, and software-defined networking provide the programmable underpinnings that automation layers orchestrate.
Application-centric segmentation highlights critical domains including configuration and change management, orchestration and visualization of service topologies, provisioning and management of network elements, security and compliance automation, and testing validation. The vertical distribution spans key industries such as banking, finance and insurance, energy and utilities, government, healthcare, IT and telecom, manufacturing, retail, and transportation and logistics, each demanding tailored automation frameworks to meet specialized performance, security, and regulatory requirements.
Illuminating Regional Dynamics Across the Americas, Europe Middle East Africa, and Asia Pacific Fueling Tailored Network Automation Strategies
The Americas region exhibits robust demand for network automation, fueled by a dynamic blend of hyperscale cloud providers, agile service providers, and enterprises modernizing legacy infrastructures. The regulatory environment encourages innovation in data handling and security, prompting organizations to automate compliance checks and policy enforcement. Major deployments in financial services and technology sectors showcase how intelligent orchestration can deliver differentiated customer experiences at scale.
Europe, the Middle East, and Africa present a tapestry of diverse market needs driven by digital transformation mandates within banking, energy, and public sector institutions. Stringent data protection requirements and cross-border data flow regulations have accelerated investments in automation to ensure auditability and consistency. Network resilience is paramount in critical infrastructure, leading to innovative use cases in automated failover, real-time performance monitoring, and policy-driven load balancing.
In Asia-Pacific, rapid urbanization, expanding 5G rollouts, and a surge in IoT applications are reshaping network automation priorities. Telecommunications operators and large enterprises alike are adopting cloud-native orchestration platforms to meet low-latency demands and support massive device densities. The convergence of enterprise and carrier networks is driving collaborative models that blend edge automation with centralized control, fostering new business models across manufacturing, retail, and logistics verticals.
Distilling Critical Competitive and Collaborative Insights from Leading Innovators and Established Enterprises Shaping the Network Automation Ecosystem
Leading technology innovators are pushing the boundaries of network automation through differentiated platforms and strategic alliances. One prominent solution provider has integrated its orchestration engine with advanced AI agents, enabling proactive issue remediation and capacity forecasting. Another incumbent has expanded its portfolio through acquisitions that bring modular automation toolkits and professional services expertise to its global client base.
A virtualization specialist has consolidated its cloud networking offerings to unify campus, data center, and branch automation under a single control plane, while a telecommunications vendor has introduced containerized network functions that simplify integration with public cloud environments. Partnerships between hardware manufacturers and software firms are yielding turnkey appliances optimized for zero-touch deployment, streamlining the path from procurement to live operations.
In parallel, emerging players are carving out niches by delivering open source-aligned frameworks that emphasize extensibility and community-driven innovation. Collaborations with academic institutions and industry consortia are fostering the development of standardized APIs and interoperability guidelines. These alliances are accelerating adoption by reducing integration risk and promoting rich ecosystems of plug-and-play extensions.
Strategic Actionable Recommendations Empowering Industry Leaders to Optimize Automation Investments, Mitigate Risks, and Accelerate Digital Transformation Journeys
Industry leaders should prioritize the convergence of AI-powered analytics and automated remediation to achieve truly autonomous networks. By embedding machine learning models that anticipate anomalies and orchestrate corrective actions, organizations can shift from reactive problem-solving to proactive optimization. Simultaneously, embracing open APIs and standardized data schemas will break down silos between network, security, and application teams while accelerating time to value.
Building a dedicated automation center of excellence is essential for governing policies, defining best practices, and cultivating talent. Cross-functional collaboration between network engineers, software developers, and security architects will ensure consistency and prevent tool sprawl. Equally important is investing in continuous learning programs that upskill teams on emerging automation paradigms and cloud-native deployment patterns.
To safeguard investments, enterprises should adopt robust security frameworks that integrate automation with identity-based segmentation, real-time threat intelligence, and compliance auditing. Partnering with managed service providers allows organizations to augment internal capabilities, leverage global support networks, and accelerate deployment. Finally, establishing clear metrics to measure automation ROI-such as mean time to resolution, deployment velocity, and cost savings per change event-will validate strategic initiatives and inform future roadmap decisions.
Comprehensive Research Methodology Unveiling Data Collection Phases, Analytical Frameworks, and Validation Techniques Underpinning Network Automation Insights
This research framework was built on a rigorous blend of primary and secondary data collection phases. Primary insights were garnered through structured interviews with senior network and security architects, C-level executives, and managed service experts across Fortune 500 enterprises, regional service providers, and government agencies. Secondary research involved the systematic review of public filings, regulatory documents, white papers, and vendor literature to contextualize technology trends and vendor strategies.
Quantitative data was triangulated by cross-referencing vendor shipment statistics, platform adoption indicators, and peer benchmarking reports. Qualitative analysis employed thematic coding to identify emerging use cases, organizational challenges, and best-practice archetypes. Frameworks such as PESTEL were utilized to assess macroeconomic and regulatory influences, while Porter’s Five Forces provided insight into competitive dynamics and partnership models.
Rigorous validation workshops were conducted with domain specialists to test assumptions, refine scenario analyses, and calibrate impact assessments. Iterative peer reviews ensured consistency, accuracy, and clarity. The combination of structured methodologies and ongoing expert collaboration underpins the reliability of the insights presented herein.
Summarizing Pivotal Takeaways and Strategic Reflections to Guide Future Innovations and Investments in Network Automation Domains
The synthesis of evolving technological paradigms, shifting trade policies, and nuanced market segmentation offers a holistic perspective on the trajectory of network automation. Key transformative factors include the integration of AI and edge computing, the recalibration of supply chains under tariff pressures, and the segmentation-driven tailoring of solutions to distinct infrastructure profiles and industry verticals.
Regional landscapes reveal both universal imperatives-such as the need for resilience and security-and localized drivers, including regulatory mandates and ecosystem maturity. Competitive analysis underscores a dual dynamic of established incumbents enhancing their platforms through acquisitions and emerging disruptors championing open architectures and community-driven innovation.
By aligning strategic investments with these insights, organizations can navigate complexity with confidence. The future of network automation will hinge on the ability to orchestrate distributed environments, embed intelligence at scale, and maintain robust governance. Those that seize these opportunities will establish the agility and operational excellence required to thrive in an increasingly digital world.
Market Segmentation & Coverage
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-segmentations:
Component
Services
Managed Services
Professional Services
Solutions
Deployment Mode
Cloud
Hybrid
On-Premises
Organization Size
Large Enterprises
Small And Medium Enterprises
Technology
AI And Machine Learning
Analytics And Visualization
Network Analytics
Performance Monitoring Tools
Network Functions Virtualization
SD-WAN
Software Defined Networking
Application
Configuration And Change Management
Orchestration And Visualization
Provisioning And Management
Security And Compliance
Testing
Vertical
Banking Finance And Insurance
Energy And Utilities
Government
Healthcare
IT And Telecom
Manufacturing
Retail
Transportation And Logistics
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-regions:
Americas
North America
United States
Canada
Mexico
Latin America
Brazil
Argentina
Chile
Colombia
Peru
Europe, Middle East & Africa
Europe
United Kingdom
Germany
France
Russia
Italy
Spain
Netherlands
Sweden
Poland
Switzerland
Middle East
United Arab Emirates
Saudi Arabia
Qatar
Turkey
Israel
Africa
South Africa
Nigeria
Egypt
Kenya
Asia-Pacific
China
India
Japan
Australia
South Korea
Indonesia
Thailand
Malaysia
Singapore
Taiwan
This research report categorizes to delves into recent significant developments and analyze trends in each of the following companies:
Cisco Systems, Inc.
Juniper Networks, Inc.
Hewlett Packard Enterprise Company
International Business Machines Corporation
VMware, Inc.
Ciena Corporation
Nokia Corporation
Arista Networks, Inc.
Extreme Networks, Inc.
Infoblox, Inc.
Please Note: PDF & Excel + Online Access - 1 Year
Pioneering the Future of Network Automation with Hybrid Intelligence Integration, Responsive Infrastructure Design, and Agile Operations Management
Network automation has emerged as a strategic imperative, driven by the exponential growth in data traffic and the growing complexity of modern infrastructures. It transcends the traditional paradigm of manual configuration by introducing intelligent orchestration, programmability, and real-time analytics that empower organizations to respond swiftly to evolving business demands. By integrating hybrid intelligence frameworks, network architectures can leverage both rule-based automation and machine learning-driven insights to achieve a balance between predictability and adaptability.
Organizations across industries are accelerating cloud migrations and embracing agile operations to reduce time to market, optimize resource utilization, and maintain consistent policy enforcement. Automation reduces the risk of human error, enhances security posture through standardized configurations, and frees network engineers to focus on strategic initiatives rather than repetitive tasks. As digital ecosystems expand to encompass edge computing and Internet of Things deployments, the role of network automation in maintaining performance and reliability becomes ever more critical.
This executive summary delves into the transformative forces shaping network automation adoption, examining market segmentation dynamics, regional idiosyncrasies, and the impact of evolving trade policies. It synthesizes proprietary research methodologies, synthesizes expert perspectives, and outlines actionable recommendations for industry leaders seeking to harness the full potential of automated networks.
Navigating Unprecedented Transformative Shifts in Network Automation Driven by AI, Edge Computing, and Autonomous Service Orchestration Landscapes
The network automation landscape is undergoing unprecedented transformation as artificial intelligence, edge computing, and autonomous orchestration converge to redefine traditional architectures. Intelligent controllers and policy engines empowered by predictive analytics are no longer supplementary-they have become foundational elements that drive self-healing, self-optimizing, and self-securing networks. Concurrently, the rise of edge-native applications demands distributed automation frameworks that operate seamlessly across cloud, on-premises, and hybrid environments.
Innovative platforms are emerging that leverage digital twins and intent-based networking to model and simulate complex topologies before any changes are applied to production environments. This shift accelerates validation cycles, mitigates risk, and shortens innovation timelines. Moreover, the integration of zero-touch provisioning with software-defined networking is streamlining multi-domain orchestration, enabling service providers and large enterprises to deploy new capabilities in hours instead of weeks.
As networks evolve into adaptive, software-centric ecosystems, organizations must reevaluate governance, skills, and cultural paradigms. Breaking down silos between operations, development, and security teams is essential to unlock end-to-end automation. In this era of continuous deployment and volatile demand patterns, network automation platforms that can pivot in real time are poised to deliver the resilience and agility that digital business models require.
Assessing the 2025 Cumulative Impact of United States Tariffs on Supply Chains, Technology Procurement, and Service Delivery in Network Automation
The imposition of cumulative tariffs by the United States in 2025 has imposed significant pressure on global supply chains, particularly within the network automation sector. The increased duties on network hardware components, semiconductors, and specialized appliances have elevated procurement costs and introduced unprecedented variability into vendor contracts. As a result, organizations have been compelled to reassess sourcing strategies, with a renewed focus on near-shore manufacturing and local partnerships to mitigate exposure to fluctuating import levies.
In addition to hardware, software licensing models and professional services engagements have felt the ripple effects of trade policy shifts. Variations in component availability have extended lead times for critical network functions virtualization modules and edge compute nodes, compelling enterprises to implement advanced inventory management and predictive replenishment systems. Automated procurement workflows are now being employed to track real-time tariff classifications, optimize purchase orders, and adjust budget forecasts dynamically.
Despite these headwinds, many organizations view tariffs as a catalyst for longer-term resilience. The drive toward diversified supplier ecosystems, increased emphasis on total cost of ownership analysis, and accelerated adoption of cloud-based network services are emerging as strategic responses. By weaving automation into procurement, deployment, and ongoing maintenance workflows, leading enterprises are safeguarding continuity, preserving capex flexibility, and transforming tariff challenges into opportunities for architectural innovation.
Unveiling Segmentation Insights on How Components, Deployment Modes, Organization Sizes, Technologies, Applications, Verticals Drive Network Automation Adoption
When viewed through the lens of component diversity, network automation encompasses both services offerings and integrated solution sets. On the services side, organizations leverage managed service arrangements to offload routine configuration tasks while tapping professional services engagements for bespoke design and deployment expertise. Solutions range from lightweight orchestration platforms to comprehensive digital operations suites that embed intelligence throughout the network fabric.
Deployment mode considerations reveal distinct adoption curves: public cloud environments enable rapid scale-out of automation engines, while on-premises infrastructures appeal to regulated industries demanding tight data sovereignty. Hybrid implementations are gaining traction as enterprises seek predictable performance at the edge while retaining core policy control in centralized data centers.
Organizational maturity also informs automation strategies. Large enterprises invest in enterprise-wide frameworks that unify cross-domain workflows, whereas small and medium organizations prioritize targeted use cases to streamline configuration and change management. Technology segmentation underscores the prominence of AI and machine learning models working in tandem with analytics and visualization tools-spanning network analytics and performance monitoring-to drive continuous improvement. Additionally, virtualization technologies such as network functions virtualization, SD-WAN overlays, and software-defined networking provide the programmable underpinnings that automation layers orchestrate.
Application-centric segmentation highlights critical domains including configuration and change management, orchestration and visualization of service topologies, provisioning and management of network elements, security and compliance automation, and testing validation. The vertical distribution spans key industries such as banking, finance and insurance, energy and utilities, government, healthcare, IT and telecom, manufacturing, retail, and transportation and logistics, each demanding tailored automation frameworks to meet specialized performance, security, and regulatory requirements.
Illuminating Regional Dynamics Across the Americas, Europe Middle East Africa, and Asia Pacific Fueling Tailored Network Automation Strategies
The Americas region exhibits robust demand for network automation, fueled by a dynamic blend of hyperscale cloud providers, agile service providers, and enterprises modernizing legacy infrastructures. The regulatory environment encourages innovation in data handling and security, prompting organizations to automate compliance checks and policy enforcement. Major deployments in financial services and technology sectors showcase how intelligent orchestration can deliver differentiated customer experiences at scale.
Europe, the Middle East, and Africa present a tapestry of diverse market needs driven by digital transformation mandates within banking, energy, and public sector institutions. Stringent data protection requirements and cross-border data flow regulations have accelerated investments in automation to ensure auditability and consistency. Network resilience is paramount in critical infrastructure, leading to innovative use cases in automated failover, real-time performance monitoring, and policy-driven load balancing.
In Asia-Pacific, rapid urbanization, expanding 5G rollouts, and a surge in IoT applications are reshaping network automation priorities. Telecommunications operators and large enterprises alike are adopting cloud-native orchestration platforms to meet low-latency demands and support massive device densities. The convergence of enterprise and carrier networks is driving collaborative models that blend edge automation with centralized control, fostering new business models across manufacturing, retail, and logistics verticals.
Distilling Critical Competitive and Collaborative Insights from Leading Innovators and Established Enterprises Shaping the Network Automation Ecosystem
Leading technology innovators are pushing the boundaries of network automation through differentiated platforms and strategic alliances. One prominent solution provider has integrated its orchestration engine with advanced AI agents, enabling proactive issue remediation and capacity forecasting. Another incumbent has expanded its portfolio through acquisitions that bring modular automation toolkits and professional services expertise to its global client base.
A virtualization specialist has consolidated its cloud networking offerings to unify campus, data center, and branch automation under a single control plane, while a telecommunications vendor has introduced containerized network functions that simplify integration with public cloud environments. Partnerships between hardware manufacturers and software firms are yielding turnkey appliances optimized for zero-touch deployment, streamlining the path from procurement to live operations.
In parallel, emerging players are carving out niches by delivering open source-aligned frameworks that emphasize extensibility and community-driven innovation. Collaborations with academic institutions and industry consortia are fostering the development of standardized APIs and interoperability guidelines. These alliances are accelerating adoption by reducing integration risk and promoting rich ecosystems of plug-and-play extensions.
Strategic Actionable Recommendations Empowering Industry Leaders to Optimize Automation Investments, Mitigate Risks, and Accelerate Digital Transformation Journeys
Industry leaders should prioritize the convergence of AI-powered analytics and automated remediation to achieve truly autonomous networks. By embedding machine learning models that anticipate anomalies and orchestrate corrective actions, organizations can shift from reactive problem-solving to proactive optimization. Simultaneously, embracing open APIs and standardized data schemas will break down silos between network, security, and application teams while accelerating time to value.
Building a dedicated automation center of excellence is essential for governing policies, defining best practices, and cultivating talent. Cross-functional collaboration between network engineers, software developers, and security architects will ensure consistency and prevent tool sprawl. Equally important is investing in continuous learning programs that upskill teams on emerging automation paradigms and cloud-native deployment patterns.
To safeguard investments, enterprises should adopt robust security frameworks that integrate automation with identity-based segmentation, real-time threat intelligence, and compliance auditing. Partnering with managed service providers allows organizations to augment internal capabilities, leverage global support networks, and accelerate deployment. Finally, establishing clear metrics to measure automation ROI-such as mean time to resolution, deployment velocity, and cost savings per change event-will validate strategic initiatives and inform future roadmap decisions.
Comprehensive Research Methodology Unveiling Data Collection Phases, Analytical Frameworks, and Validation Techniques Underpinning Network Automation Insights
This research framework was built on a rigorous blend of primary and secondary data collection phases. Primary insights were garnered through structured interviews with senior network and security architects, C-level executives, and managed service experts across Fortune 500 enterprises, regional service providers, and government agencies. Secondary research involved the systematic review of public filings, regulatory documents, white papers, and vendor literature to contextualize technology trends and vendor strategies.
Quantitative data was triangulated by cross-referencing vendor shipment statistics, platform adoption indicators, and peer benchmarking reports. Qualitative analysis employed thematic coding to identify emerging use cases, organizational challenges, and best-practice archetypes. Frameworks such as PESTEL were utilized to assess macroeconomic and regulatory influences, while Porter’s Five Forces provided insight into competitive dynamics and partnership models.
Rigorous validation workshops were conducted with domain specialists to test assumptions, refine scenario analyses, and calibrate impact assessments. Iterative peer reviews ensured consistency, accuracy, and clarity. The combination of structured methodologies and ongoing expert collaboration underpins the reliability of the insights presented herein.
Summarizing Pivotal Takeaways and Strategic Reflections to Guide Future Innovations and Investments in Network Automation Domains
The synthesis of evolving technological paradigms, shifting trade policies, and nuanced market segmentation offers a holistic perspective on the trajectory of network automation. Key transformative factors include the integration of AI and edge computing, the recalibration of supply chains under tariff pressures, and the segmentation-driven tailoring of solutions to distinct infrastructure profiles and industry verticals.
Regional landscapes reveal both universal imperatives-such as the need for resilience and security-and localized drivers, including regulatory mandates and ecosystem maturity. Competitive analysis underscores a dual dynamic of established incumbents enhancing their platforms through acquisitions and emerging disruptors championing open architectures and community-driven innovation.
By aligning strategic investments with these insights, organizations can navigate complexity with confidence. The future of network automation will hinge on the ability to orchestrate distributed environments, embed intelligence at scale, and maintain robust governance. Those that seize these opportunities will establish the agility and operational excellence required to thrive in an increasingly digital world.
Market Segmentation & Coverage
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-segmentations:
Component
Services
Managed Services
Professional Services
Solutions
Deployment Mode
Cloud
Hybrid
On-Premises
Organization Size
Large Enterprises
Small And Medium Enterprises
Technology
AI And Machine Learning
Analytics And Visualization
Network Analytics
Performance Monitoring Tools
Network Functions Virtualization
SD-WAN
Software Defined Networking
Application
Configuration And Change Management
Orchestration And Visualization
Provisioning And Management
Security And Compliance
Testing
Vertical
Banking Finance And Insurance
Energy And Utilities
Government
Healthcare
IT And Telecom
Manufacturing
Retail
Transportation And Logistics
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-regions:
Americas
North America
United States
Canada
Mexico
Latin America
Brazil
Argentina
Chile
Colombia
Peru
Europe, Middle East & Africa
Europe
United Kingdom
Germany
France
Russia
Italy
Spain
Netherlands
Sweden
Poland
Switzerland
Middle East
United Arab Emirates
Saudi Arabia
Qatar
Turkey
Israel
Africa
South Africa
Nigeria
Egypt
Kenya
Asia-Pacific
China
India
Japan
Australia
South Korea
Indonesia
Thailand
Malaysia
Singapore
Taiwan
This research report categorizes to delves into recent significant developments and analyze trends in each of the following companies:
Cisco Systems, Inc.
Juniper Networks, Inc.
Hewlett Packard Enterprise Company
International Business Machines Corporation
VMware, Inc.
Ciena Corporation
Nokia Corporation
Arista Networks, Inc.
Extreme Networks, Inc.
Infoblox, Inc.
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
189 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency & Pricing
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Adoption of intent-based networking solutions for dynamic policy-driven network management
- 5.2. Integration of AI-driven anomaly detection into automated network operations workflows
- 5.3. Convergence of SD-WAN and SASE architectures for secure edge network automation
- 5.4. Utilization of low-code and no-code platforms for rapid network automation deployment
- 5.5. Implementation of zero-touch provisioning across multi-vendor enterprise network infrastructures
- 5.6. Use of predictive analytics powered by machine learning for proactive network maintenance
- 5.7. Standardization of open APIs and model-driven telemetry for cross-vendor automation integration
- 5.8. Deployment of network automation frameworks in 5G and edge computing environments for ultra-low latency
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Network Automation Market, by Component
- 8.1. Services
- 8.1.1. Managed Services
- 8.1.2. Professional Services
- 8.2. Solutions
- 9. Network Automation Market, by Deployment Mode
- 9.1. Cloud
- 9.2. Hybrid
- 9.3. On-Premises
- 10. Network Automation Market, by Organization Size
- 10.1. Large Enterprises
- 10.2. Small And Medium Enterprises
- 11. Network Automation Market, by Technology
- 11.1. AI And Machine Learning
- 11.2. Analytics And Visualization
- 11.2.1. Network Analytics
- 11.2.2. Performance Monitoring Tools
- 11.3. Network Functions Virtualization
- 11.4. SD-WAN
- 11.5. Software Defined Networking
- 12. Network Automation Market, by Application
- 12.1. Configuration And Change Management
- 12.2. Orchestration And Visualization
- 12.3. Provisioning And Management
- 12.4. Security And Compliance
- 12.5. Testing
- 13. Network Automation Market, by Vertical
- 13.1. Banking Finance And Insurance
- 13.2. Energy And Utilities
- 13.3. Government
- 13.4. Healthcare
- 13.5. IT And Telecom
- 13.6. Manufacturing
- 13.7. Retail
- 13.8. Transportation And Logistics
- 14. Network Automation Market, by Region
- 14.1. Americas
- 14.1.1. North America
- 14.1.2. Latin America
- 14.2. Europe, Middle East & Africa
- 14.2.1. Europe
- 14.2.2. Middle East
- 14.2.3. Africa
- 14.3. Asia-Pacific
- 15. Network Automation Market, by Group
- 15.1. ASEAN
- 15.2. GCC
- 15.3. European Union
- 15.4. BRICS
- 15.5. G7
- 15.6. NATO
- 16. Network Automation Market, by Country
- 16.1. United States
- 16.2. Canada
- 16.3. Mexico
- 16.4. Brazil
- 16.5. United Kingdom
- 16.6. Germany
- 16.7. France
- 16.8. Russia
- 16.9. Italy
- 16.10. Spain
- 16.11. China
- 16.12. India
- 16.13. Japan
- 16.14. Australia
- 16.15. South Korea
- 17. Competitive Landscape
- 17.1. Market Share Analysis, 2024
- 17.2. FPNV Positioning Matrix, 2024
- 17.3. Competitive Analysis
- 17.3.1. Cisco Systems, Inc.
- 17.3.2. Juniper Networks, Inc.
- 17.3.3. Hewlett Packard Enterprise Company
- 17.3.4. International Business Machines Corporation
- 17.3.5. VMware, Inc.
- 17.3.6. Ciena Corporation
- 17.3.7. Nokia Corporation
- 17.3.8. Arista Networks, Inc.
- 17.3.9. Extreme Networks, Inc.
- 17.3.10. Infoblox, Inc.
Pricing
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