Network Automation Companies

Network Automation Market Opening Overview

Why the Network Automation Market Is Expanding?

The Network Automation Market reached USD 34.70 billion in 2025 and is projected to expand from USD 40.48 billion in 2026 to USD 162.60 billion by 2035, registering a CAGR of 16.70% during the forecast period. Solutions represent 57.50% of 2025 revenue as enterprises consolidate toward intent-based networking platforms over point tools, while Services grow faster at a 17.80% CAGR as managed AI-driven network operations engagements displace in-house NOC staffing. By deployment mode, on-premises installations hold 60.20% share in regulated industries while cloud-based delivery is the fastest-growing mode at a 22.30% CAGR. By end-user, IT and Telecom leads at 31.80% share, BFSI contributes USD 4.58 billion, and Healthcare is the fastest-growing vertical at a 19.90% CAGR driven by medical-IoT security and telehealth uptime requirements under HIPAA compliance mandates.

 The enterprise adoption timetable for network automation is being compressed concurrently by three structural pressures. First, businesses now operate across an average of 3.4 cloud providers and two on-premises data centers, each with unique API schemas, routing overlays, and security policy models that cause configuration drift when managed through static scripts. This multi-cloud complexity is too big for manual CLI operations to handle. Automation is transformed from a cost-reduction tool into a risk-management tool by intent-based networking platforms that enforce a single declarative source of truth across heterogeneous fabrics, reducing configuration errors by an estimated 65% and halving mean-time-to-repair. Second, regulatory mandate synchronization on two continents at the same time: the U.S. OMB M-22-09 memorandum requires federal agencies to achieve zero-trust network maturity by September 2027, while the EU NIS2 Directive requires over 160,000 essential-sector entities to implement automated compliance reporting by October 2024. This creates a compliance-driven procurement requirement for automated network configuration management that infrastructure risk committees approve regardless of ROI timelines. Third, the economics of 5G network slicing: according to GSMA Intelligence, there will be 1.5 billion 5G connections worldwide by 2027. Standalone cores will enable network slices that need isolated QoS parameters, bandwidth guarantees, and micro-segmentation for every enterprise vertical tenant. Only automated network provisioning can dynamically orchestrate this configuration management complexity without correspondingly increasing headcount.

 With hyperscaler capital expenditures on self-healing network infrastructure exceeding USD 14 billion worldwide and U.S. federal zero-trust spending exceeding USD 3.2 billion in FY2024 under CISA's implementation roadmap, North America held 41.50% of the Network Automation Market in 2025. With a 19.70% CAGR, Asia-Pacific is the fastest-growing region, with India leading the way at 22.10%. In 2024, China's three state-owned telecom companies allotted USD 5.8 billion to network intelligence platforms, and Reliance Jio's fully virtualized 5G SA network runs entirely on automated network provisioning. Due to NIS2 enforcement, which analysts predict will result in additional automation investment of USD 2.5 billion through 2027, Europe owns a 26.20% share. With Saudi Arabia's NEOM program and UAE 5G densification creating greenfield environments where self-healing network tools are specified from inception, the Middle East is expected to reach USD 1.80 billion by 2025.

Why These Companies Are Leading?

Leadership in the Network Automation Market is determined by four compounding structural advantages: the breadth of device-family coverage in automated network provisioning platforms, because an enterprise NOC will not adopt an automation platform that cannot manage its entire installed base simultaneously; the quality of the AI model training dataset, because vendors with the largest telemetry corpus produce anomaly detection accuracy that smaller installed bases structurally cannot match; the depth of ecosystem integration across ITSM, SIEM, and orchestration platforms, because network automation that does not close the loop with ServiceNow change management or Splunk security analytics generates value the NOC cannot realize without manual handoff; and the credibility of open-standards commitment, because enterprises that experienced proprietary platform lock-in with CLI-centric vendors systematically choose automation vendors whose YANG models, gNMI telemetry, and RESTCONF APIs allow competitive migration without reconfiguring the entire management plane.

Cisco Systems' competitive position is the most structurally entrenched: DNA Center manages the network configuration management workflows of more than 90% of Fortune 500 companies, meaning Cisco is defending incumbency against challengers who must overcome the switching cost of re-validating 10,000-device automation workflows rather than competing to win the customer. Juniper's Apstra intent-based networking is the most technically differentiated alternative — its vendor-agnostic architecture manages Arista, Cisco, and Juniper hardware from a single intent model, specifically targeting the Fortune 500 data-center architect who wants operational discipline without single-vendor dependency. Red Hat's Ansible occupies the opposite competitive position: open-source licensing at zero cost across 45-plus device families has made it the de facto automation engine for heterogeneous environments where no single hardware vendor's proprietary controller covers the full device inventory, trading per-seat licensing revenue for ecosystem influence that IBM monetizes through enterprise support subscriptions and Cloud Pak upgrades. MRFR identifies installed-base management breadth and open-standards telemetry architecture as the two competitive advantages most resistant to displacement in the Network Automation Market, because both require either decade-scale customer relationship investment or decade-scale open-source ecosystem cultivation that technology investment alone cannot accelerate.

Top 10 Global Network Automation Companies — MRFR Rankings (2026)

All revenue figures are validated from official company annual reports or SEC filings. Where official figures are unavailable for private companies or non-disclosed subsidiaries, this is explicitly noted. Juniper Networks, Red Hat, and HPE revenues reflect parent-company totals as segment revenues are not separately disclosed.

 *NetBrain and BMC revenues marked 'Undisclosed (private)'. BMC estimated revenue is from unverified industry sources, treated as directional only. Juniper Networks, Red Hat, and HPE revenues represent parent-group totals. Revenue source citations in brackets correspond to Reference Links block.

Detailed Company Profiles

1. Cisco Systems Inc. | NASDAQ: CSCO | San Jose, CA, USA

Strategic Position. Cisco's competitive moat in the Network Automation Market is DNA Center's installed-base lock-in, measured not in licensing dollars but in re-validation effort: an enterprise with 10,000 devices configured through DNA Center cannot migrate to a competing platform without re-authoring every automation template, compliance check, and ITSM integration that took years of operational iteration to stabilize. The September 2024 LLM-based root-cause analysis addition deepens this lock-in by converting DNA Center from an operations tool into an institutional knowledge system: the LLM's understanding of each customer's specific network behavior patterns improves with every month of operational history it accumulates, creating a personalized AI that becomes harder to replace with a generic competitor model regardless of the competitor's technical superiority at the algorithm level.

2. Juniper Networks (HPE) | NYSE: HPE | Sunnyvale, CA, USA

Strategic Position. Apstra's vendor-agnostic intent-based networking architecture is the most technically differentiated position in the Network Automation Market: it manages Cisco, Arista, and Juniper hardware from a single declarative intent model without requiring hardware standardization, directly targeting the Fortune 500 data-center architect who wants closed-loop automation without the single-vendor dependency that Cisco DNA Center requires. Mist AI's Marvis Virtual Network Assistant completes the campus scope: its AI root-cause analysis reduces wireless troubleshooting mean-time-to-resolution from hours to minutes in environments with hundreds of access points, addressing the access-layer automation gap that data-center-focused platforms do not cover with equivalent analytical depth.

3. IBM Corporation | NYSE: IBM | Armonk, NY, USA

Strategic Position. Watson AIOps occupies the cross-domain observability position that no network-only automation platform can reach: by correlating network telemetry from SevOne, application signals from Instana, and ITSM events from ServiceNow simultaneously, Watson AIOps produces incident root-cause analysis that crosses organizational silos — identifying, for example, a misconfigured BGP route on a physical router as the root cause of an application performance degradation and a security alert simultaneously, within a single dashboard that does not require the NOC, application operations, and security operations teams to convene a manual bridge call.

4. VMware (Broadcom) | NASDAQ: AVGO | Palo Alto, CA, USA

Strategic Position. NSX micro-segmentation's competitive advantage in the Network Automation Market is architectural: policies are enforced at the hypervisor layer rather than the physical switch layer, meaning zero-trust network segmentation persists as workloads migrate between hosts, regions, and clouds without requiring policy reconfiguration at the network device level. This compute-hypervisor-to-network integration is what distinguishes VCF full-stack automation — where vSphere compute orchestration, NSX network segmentation, and vSAN storage policy are driven by a single declarative intent — from network automation tools that manage only the network layer and require separate orchestration for compute and storage policy alignment.

5. Nokia Corporation | NASDAQ Helsinki: NOKIA | Espoo, Finland

Strategic Position. Nokia's Network Services Platform competes in the Network Automation Market from carrier-grade operational credibility that enterprise-focused competitors cannot claim: 200-plus carrier deployments where five-nines availability, sub-50ms failover, and ITU-T G.8032 ring protection compliance are contractual requirements. This carrier pedigree is Nokia's primary differentiation in private 5G campus deployments, where industrial OT environment latency and reliability requirements are closer to carrier network SLAs than commercial Wi-Fi, and NSP is the only self-healing network tool engineered to carrier SLA tolerances before being repositioned for enterprise deployment.

6. Hewlett Packard Enterprise | NYSE: HPE | Spring, TX, USA

Strategic Position. Aruba Central's campus and branch automation positioning is structurally complementary to Juniper's data center focus: Aruba manages the enterprise access layer closest to end users and IoT devices, where AI-driven network operations produce the most visible operational value because access-layer failures directly disrupt end-user productivity. GreenLake for Networking's NaaS model removes the CapEx barrier for mid-market enterprises, converting the network infrastructure investment decision from a capital expenditure requiring board approval into a monthly operating expense line within IT directors' existing budget authority.

7. Arista Networks | NYSE: ANET | Santa Clara, CA, USA

Strategic Position. EOS's architectural uniformity — a single network operating system running identically on every Arista switch from a 10-port campus device to a 400-port hyperscale spine — gives CloudVision a telemetry data density advantage over multi-OS competitors: because every device speaks the same data schema, CloudVision's AI anomaly detection models are trained on Arista's entire installed base simultaneously without normalization gaps, and CloudVision instruments every packet-forwarding decision at every port without external telemetry agents. This instrumentation depth is what enables the AI-cluster network optimization capability that distinguishes Arista from general-purpose network automation vendors.

8. Red Hat Inc. (IBM) | Part of IBM NYSE: IBM | Raleigh, NC, USA

Strategic Position. Ansible Automation Platform occupies a structurally unique Network Automation Market position: the most widely deployed network configuration management engine in the world that generates the least direct revenue per installation, because its open-source licensing trades per-seat fees for ecosystem influence that IBM monetizes through enterprise support subscriptions and Cloud Pak upgrades. This strategy produced a result no proprietary platform can achieve: 45-plus device family modules covering Cisco, Juniper, Arista, Nokia, Huawei, and F5 simultaneously, making Ansible the only automation engine that covers an enterprise's complete multi-vendor inventory without separate tools per vendor's proprietary controller.

9. NetBrain Technologies | Private | Burlington, MA, USA

Strategic Position. NetBrain's no-code intent-based networking interface addresses the adoption barrier that has historically limited network automation penetration below 35% even in large enterprises: the Python programming skill requirement that excludes the majority of network engineers whose operational expertise is in network design and troubleshooting rather than infrastructure-as-code development. By enabling visual definition of network intent through dynamic maps rather than code, NetBrain reduces the barrier for automating diagnostic and remediation runbooks from months of developer-dependent workflow building to weeks of operational-team-led visual configuration — directly addressing the 460,000-person Python skills gap quantified in the 2024 ISC² workforce study.

10. BMC Software | Private (KKR) | Houston, TX, USA

Strategic Position. Helix Network Automation's ITSM-integrated position addresses a compliance gap that pure-play network automation vendors cannot close: connecting network configuration change execution to change advisory board approval, CI/CD deployment pipelines, and post-change audit documentation within a single governance workflow. For regulated enterprises where every network configuration change requires documented risk assessment, change-freeze window scheduling, and NIS2 or zero-trust audit trail generation, Helix eliminates the manual handoff between automation execution and IT governance documentation that introduces the control deficiencies that regulators flag during network security compliance reviews.

M&A Activity Tracker

Key verified transactions and strategic investments shaping the Network Automation Market competitive landscape (2023–2025):

 Key Trend: M&A in the Network Automation Market is converging on two structural imperatives: full-stack scope extension acquiring campus, data center, carrier, and cloud automation under a single commercial relationship, and AI data-layer completion where orchestration-strong platforms acquire telemetry and observability assets their AI models need to produce root-cause and predictive analytics that justify premium pricing against open-source alternatives. Both imperatives reflect the market's maturation from infrastructure automation toward autonomous operations, where the quality of the AI training dataset — measured in device-diversity, telemetry frequency, and operational history depth — is becoming the primary competitive differentiator that M&A can accelerate faster than organic data accumulation.

R&D Investment & Innovation Signals

Leading companies are investing in LLM-embedded network operations, open-standards telemetry, NaaS platform economics, and closed-loop autonomous remediation:

•       Cisco Systems embedded an LLM root-cause analysis engine into DNA Center AI Network Analytics in September 2024 [2], enabling NOC engineers to query network incident history in natural language and receive five-hop causal chain summaries in under 60 seconds — reducing expert-level troubleshooting from hours to minutes and making AI network operations accessible to junior NOC engineers who previously required senior architect escalation for configuration-drift incidents, directly addressing the skilled-talent scarcity restraint that the MRFR report identifies as a 22% drag on the market's CAGR.

• Juniper Networks completed Apstra intent-based networking integration across its full switching portfolio in June 2024 [3], enabling a single EX/QFX/PTX intent declaration to drive configuration enforcement simultaneously across campus access, aggregation, and data center spine layers — creating the market's first end-to-end unified automated network provisioning scope from a single intent model and eliminating the separate automation tools that enterprise NOCs previously maintained per network tier.
• IBM integrated SevOne streaming telemetry into Watson AIOps in August 2024 [4], adding physical network device-level flow data to the AI correlation engine that previously operated exclusively on cloud API events — enabling cross-domain incident correlation that identifies a misconfigured BGP route on a physical router as the simultaneous root cause of an application performance degradation in Instana and a security alert in QRadar, without requiring manual bridge calls between NOC, application operations, and security operations teams.
• Broadcom launched NSX 4.2 AI-driven micro-segmentation policy recommendations in FY2024 [5], using application traffic flow analysis to propose least-privilege firewall rule sets across 50,000-VM environments that reduce a six-month manual policy-engineering project to a two-week AI-assisted workflow — directly enabling US federal agencies to implement zero-trust micro-segmentation within the September 2027 OMB M-22-09 deadline without the expert security architect headcount that manual implementation requires.
• Nokia unveiled Network as Code as a commercial API platform in March 2025 [6], providing REST APIs that abstract 5G slicing, QoS guarantees, and network priority controls behind developer-friendly interfaces requiring no telecommunications engineering knowledge — targeting enterprise application developers as a new customer segment orthogonal to Nokia's traditional carrier network engineer buyers and potentially creating a recurring API subscription revenue stream from customers who are not currently in Nokia's installed base.
• Arista Networks launched CloudVision Universal Network Observability in November 2024 [7], combining EOS streaming telemetry with AI anomaly detection granular enough to identify which specific AI training job's all-reduce communication pattern is causing packet loss on a shared GPU cluster fabric — a network observability use case specific to AI infrastructure that positions Arista as the preferred networking platform for GPU cluster deployments where conventional NOC tools operating at flow-level granularity cannot detect the microsecond-scale events that cause GPU utilization collapse in distributed training workloads.
• Red Hat released Ansible Automation Platform 2.5 in January 2025 [4] with Event-Driven Ansible triggers enabling real-time network event response, where a streaming telemetry alert from a network device automatically triggers an Ansible playbook that validates, remediates, and documents the configuration change for predefined low-risk remediation categories without human approval — implementing closed-loop Level 4 autonomous operations that TM Forum's Autonomous Networks program identifies as the maturity milestone where network automation converts from a labor-reduction tool to a reliability improvement instrument.
• HPE expanded GreenLake for Networking NaaS to 50-plus countries in FY2024 [3] with AI-driven automated network provisioning as a monthly subscription, enabling enterprises in markets where network automation expertise is scarce to deploy Aruba Central AI campus management through a managed service model that exports tier-1 network operations capability to emerging markets — directly addressing the skilled-workforce scarcity restraint at a global scale that individual enterprise IT teams in Latin America, Southeast Asia, and the Middle East cannot resolve through local hiring programs.

Reference Links

All data points in this Company Page are sourced exclusively from the references listed below. Figures not traceable to these sources are marked 'Undisclosed' in the relevant table cells.

 © 2026 Market Research Future® (Part of WantStats Research and Media Pvt. Ltd.)  |  www.marketresearchfuture.com  |  Report ID: MRFR/ICT/4396-CR  |  Last Updated: June 11, 2026