AI-Driven Network Operations Global Market Report 2026

The artificial intelligence (AI)-driven network operations market size has grown exponentially in recent years. It will grow from $15.98 billion in 2025 to $19.37 billion in 2026 at a compound annual growth rate (CAGR) of 21.2%. The growth in the historic period can be attributed to growing network complexity, increasing volume of digital data, rising demand for 24/7 network uptime, adoption of traditional network monitoring tools, expansion of enterprise IT infrastructure.

The artificial intelligence (AI)-driven network operations market size is expected to see exponential growth in the next few years. It will grow to $42.08 billion in 2030 at a compound annual growth rate (CAGR) of 21.4%. The growth in the forecast period can be attributed to growing deployment of AI-driven network solutions, increasing adoption of cloud and hybrid deployment modes, rising demand for predictive maintenance and traffic optimization, expansion of network automation across industries, increasing focus on cybersecurity and threat detection. Major trends in the forecast period include increasing adoption of predictive network analytics, rising demand for automated fault management, growing integration of traffic optimization solutions, expansion of managed network operations services, rising focus on real-time network security monitoring.

The rapid increase in data traffic is projected to drive the expansion of the artificial intelligence (AI)-driven network operations market in the coming years. Data traffic denotes the volume of digital information transmitted across communication networks. The growth in data traffic is largely attributed to the swift expansion of video streaming and high-bandwidth applications across mobile devices and interconnected networks. Artificial intelligence (AI)-driven network operations solutions are experiencing heightened demand as the surge in data traffic compels organizations to implement automated monitoring, predictive analytics, and real-time network optimization. For instance, in November 2025, according to Ofcom, a UK-based government communications regulator, mobile data consumption in the UK rose by approximately 18% year over year in 2025, surpassing 1.2 billion gigabytes per month, indicating a significant acceleration in network traffic demand. Therefore, the rapid increase in data traffic is fueling the growth of the artificial intelligence (AI)-driven network operations market.

Key companies operating in the AI-driven network operations market are concentrating on developing advanced solutions, such as AI-powered network analytics, to enhance network performance and reliability. AI-powered network analytics utilizes artificial intelligence and machine learning to monitor, forecast, and optimize network traffic in real time, helping to minimize downtime and enhance operational efficiency. For example, in January 2026, Broadcom Inc., a US-based company that provides semiconductors and infrastructure software, introduced the Symantec AI Network Insights platform featuring intelligent monitoring, automated root cause analysis, predictive fault detection, and real-time performance optimization. The platform incorporates advanced AI models to examine network telemetry, identify anomalies, and deliver actionable insights. It also provides automated workflows to streamline network troubleshooting and limit manual intervention, strengthening decision-making speed and operational accuracy. By integrating predictive analytics with real-time monitoring, the solution improves network resilience and supports proactive maintenance strategies.

In March 2024, Cisco Systems Inc., a US-based provider of networking and IT infrastructure services, finalized the acquisition of Splunk for $28 billion. Through this acquisition, Cisco seeks to strengthen its software portfolio, reinforce its position in cybersecurity and IT operations management, and utilize AI-driven analytics to enhance observability across hybrid and multi-cloud environments. Splunk Inc. is a US-based provider of data analytics, observability, and security software solutions that empower organizations to monitor, evaluate, and act on machine-generated data.

Major companies operating in the artificial intelligence (AI)-driven network operations market are Dell Technologies Inc., Huawei Technologies Co. Ltd., International Business Machines Corporation, Cisco Systems Inc., Broadcom Inc., Hewlett Packard Enterprise Company, Telefonaktiebolaget LM Ericsson, Nokia Corporation, NEC Corporation, Infosys Limited, ZTE Corporation, Wipro Limited, Palo Alto Networks Inc., Arista Networks Inc., Netcracker Technology Corporation, Fortinet Inc., Amdocs Limited, Ciena Corporation, Extreme Networks Inc., and APPIT Software Solutions Pvt. Ltd.

North America was the largest region in the artificial intelligence (AI)-driven network operations market in 2025. The regions covered in the ai-driven network operations market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI)-driven network operations market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI)-driven network operations market consists of revenues earned by entities by providing services such as network monitoring services, predictive maintenance services, automated fault management services, network optimization services, security and threat detection services, managed network operations services, and consulting and integration services. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI-driven network operations market also includes sales of network switches, network servers, edge computing devices, network sensors, hardware accelerators, and network gateways. Values in this market are ‘factory gate’ values; that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI-driven network operations involve applying artificial intelligence and machine learning to continuously monitor, manage, and optimize network performance. These systems analyze extensive network data to anticipate issues, automate problem resolution, and enhance reliability with minimal human input. By supporting self-learning and adaptive decision-making, AI-driven operations boost efficiency, scalability, and overall network robustness.

The key components of AI-driven network operations include solutions and services. Solutions refer to platforms that use artificial intelligence to monitor, automate, secure, and optimize network performance across complex enterprise environments. These solutions are deployed through on-premises, cloud-based, and hybrid models and are adopted by organizations of all sizes, including large enterprises and small and medium enterprises. Key applications include network monitoring, network automation, network security, fault management, performance management, and other areas, with end users spanning telecommunications, IT and ITeS, banking, financial services, and insurance (BFSI), healthcare, manufacturing, retail, and other sectors.

Tariffs on imported network hardware, AI processors, and cloud infrastructure components are impacting the AI-driven network operations market by increasing procurement and deployment costs, particularly affecting solutions and managed service segments. Regions such as North America, Europe, and Asia-Pacific that rely heavily on imported IT hardware and specialized AI components are most affected. While tariffs elevate costs, they also incentivize local manufacturing, foster regional supply chain resilience, and drive innovation in cost-efficient AI and network optimization solutions, creating long-term growth opportunities.

The artificial intelligence (AI)-driven network operations market research report is one of a series of new reports that provides artificial intelligence (AI)-driven network operations market statistics, including artificial intelligence (AI)-driven network operations industry global market size, regional shares, competitors with a artificial intelligence (AI)-driven network operations market share, detailed artificial intelligence (AI)-driven network operations market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-driven network operations industry. This artificial intelligence (AI)-driven network operations market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

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