ARTICLE
Digital transformation is revolutionizing the way companies design and manage their networks. Increasingly complex environments, including hybrid cloud, distributed offices, IoT and remote work, make it more difficult to maintain performance, security and cost control.
In this context, Network as a Service (NaaS), powered by Artificial Intelligence (AI), is emerging as a strategic model to optimize network management, strengthen security and reduce fixed costs. A true evolution towards a more agile, automated and resilient infrastructure.
Why choose AI and Network as a Service
The NaaS model offers a pay-as-you-go approach that eliminates costly upfront investments and simplifies infrastructure management. AI further enhances these benefits by enabling advanced automation, greater visibility and intelligent security.
Key benefits
- Intelligent network automation: dynamic provisioning, traffic flow optimization and reduced intervention times.
- AI-driven predictive analytics: early identification of anomalies and potential issues.
- Adaptive security: AI models that learn from traffic patterns and help identify new or previously unknown threats.
These capabilities make networks and security more reliable, scalable and better suited to support business growth.
The limitations of traditional infrastructures
Many companies still rely on on-premise infrastructures characterized by:
- high fixed costs related to hardware, licenses and maintenance;
- manual processes that increase operational complexity;
- security tools that are not always adequate to address ransomware, DDoS attacks and AI-driven threats.
The availability of specialized skills is also a significant challenge: 39% of organizations consider skills shortages a major obstacle to cyber resilience, while only 14% say they have the skills needed to achieve their cybersecurity objectives (World Economic Forum, Global Cybersecurity Outlook 2025).
How AI-powered NaaS addresses costs and vulnerabilities
The Network as a Service model powered by Artificial Intelligence directly addresses the main limitations of traditional networks.
Key strengths of the NaaS model
- OPEX instead of CAPEX: predictable and scalable costs without large upfront investments.
- End-to-end managed services: proactive monitoring, automatic updates and centralized governance.
- Cybersecurity by design: the use of AI, automation and advanced analytics enables faster identification of anomalies and potential threats, reducing incident response times.
The result is a more efficient and secure network that is better aligned with modern business continuity requirements.
The NaaS market: accelerating growth
Industry analyses confirm the rapid expansion of the Network as a Service market. The global market was valued at USD 28.25 billion in 2025 and is expected to reach USD 187.18 billion by 2034, with a CAGR of 23.5% between 2026 and 2034 (Fortune Business Insights, Network as a Service Market Size, Share & Industry Analysis, updated October 2026).
Key growth drivers
- Widespread adoption of cloud-first strategies
- Expansion of IoT and edge computing
- Growing need for greater security and resilience
- Evolution of regulations and frameworks such as NIS2 and DORA in the EU, together with evolving cybersecurity requirements in Switzerland (European Commission; Swiss National Cyber Security Centre – NCSC)
In Switzerland, for example, since 1 April 2025, certain critical infrastructures have been required to report significant cyberattacks to the National Cyber Security Centre within 24 hours of detection (Swiss National Cyber Security Centre – NCSC, Annual Report 2025).
These trends are pushing companies towards more flexible and secure models, where AI and NaaS can become a competitive advantage.
Practical applications: where AI and NaaS make a difference
The integration of AI and Network as a Service is already a reality in many organizations. Some of the most common use cases include:
- Intelligent SD-WAN: dynamically optimized routing to improve network performance.
- SASE (Secure Access Service Edge): convergence of networking and security with advanced anomaly detection capabilities.
- Smart self-service portals: automated provisioning and predictive management of network resources.
These solutions help companies reduce complexity, increase agility and improve protection.
Security: the priority in the era of AI-driven attacks
Today, cybersecurity is one of the biggest concerns for companies. AI-powered threats, social engineering, supply chain attacks and the growing use of emerging technologies are making the cyber landscape increasingly complex (World Economic Forum, Global Cybersecurity Outlook 2025).
The NaaS model with integrated AI can support Zero Trust strategies, proactively detect anomalies and help prevent downtime and data breaches through continuous monitoring and AI-powered analytics.
The future of networking is as a service, intelligent and secure
If your company wants to:
- reduce fixed costs
- increase operational flexibility
- improve security
- prepare for cloud, IoT and edge computing
it is time to consider Network as a Service solutions with integrated AI.