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By AI, Created 5:09 PM UTC, May 18, 2026, /AGP/ – The Business Research Company says the AI-driven network operations market will grow from $15.98 billion in 2025 to $19.37 billion in 2026, then reach $42.08 billion by 2030. The forecast points to rising data traffic, broader AI adoption, and growing demand for automation, predictive maintenance, and cybersecurity.
Why it matters: - AI-driven network operations is becoming a core tool for handling rising network complexity, faster troubleshooting and higher reliability. - The market’s projected growth suggests more spending on automation, predictive analytics and security monitoring across enterprise networks.
What happened: - The Business Research Company released its Artificial Intelligence (AI)-Driven Network Operations Global Market Report 2026 on May 13, 2026. - The report estimates the market will rise from $15.98 billion in 2025 to $19.37 billion in 2026. - The report forecasts the market will reach $42.08 billion by 2030. - The forecast covers product-driven market trends and regional developments across North America, Asia-Pacific, South East Asia, Western Europe, Eastern Europe, South America, the Middle East and Africa.
The details: - The report says the market is growing at a 21.2% CAGR in the historical period from 2025 to 2026. - The report projects a 21.4% CAGR through 2030. - Historical growth is tied to rising network complexity, higher digital data volumes, 24/7 availability demands, traditional monitoring tools and expanding enterprise IT infrastructure. - Future growth is expected to come from wider deployment of AI-powered network solutions, cloud and hybrid models, predictive maintenance, traffic optimization, network automation and stronger cybersecurity and threat detection. - The report highlights predictive network analytics, automated fault management, traffic optimization technologies, managed network services and real-time security monitoring as key trends. - AI-driven network operations use AI and machine learning to monitor, manage and tune network performance in real time. - These systems analyze network data to forecast issues, automate troubleshooting and improve reliability with limited human input. - The market is driven by a rapid surge in data traffic. - Video streaming and other high-bandwidth mobile applications are adding pressure to communication networks. - In November 2025, Ofcom reported UK mobile data usage rose about 18% year over year to more than 1.2 billion gigabytes a month. - North America held the largest market share in 2025. - The report links North America’s lead to advanced technological infrastructure and early adoption of AI innovations. - The report also lists related coverage on online microtransaction, bioinformatics platform and commercial quantum computing solutions markets. - The company provides a free sample and full report links for readers seeking more information: free sample report and the full market report.
Between the lines: - The report suggests AI-driven network operations are moving from a niche efficiency tool to a mainstream infrastructure layer. - Strong forecast growth and North American leadership point to a market shaped by early enterprise adoption and pressure from rising traffic loads. - The emphasis on security, automation and cloud deployment shows buyers want fewer manual interventions and faster response times.
What’s next: - The market’s next phase will likely center on predictive analytics, automated remediation and real-time security capabilities. - Broader use of cloud and hybrid deployments should expand demand across more industries and network environments. - Rising data volumes are likely to keep pushing enterprises toward AI-based network management tools.
The bottom line: - AI-driven network operations is on track for rapid expansion as organizations try to keep networks faster, safer and more self-managing.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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