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Artificial Intelligence (AI)-Driven Network Operations Market Report 2026
Published :April 2026
Pages :250
Format :PDF
Delivery Time :2-3 Business Days
Why 2-3 days? We update the report with the latest data and news before delivery. Let us know if you need us to expedite.
Report Price :$4,490.00

Artificial Intelligence (AI)-Driven Network Operations Market Report 2026

Global Outlook – By Component (Solutions, Services), By Deployment Mode (On-Premise, Cloud-Based, Hybrid), By Organization Size (Large Enterprises, Small And Medium Enterprises), By Application (Network Monitoring, Network Automation, Network Security, Fault Management, Performance Management, Other Applications), By End-User (Telecommunications, Information Technology (IT) And Information Technology Enabled Services (ITeS), Banking, Financial Services, And Insurance (BFSI), Healthcare, Manufacturing, Retail, Other End-Users) – Market Size, Trends, Strategies, and Forecast to 2035

Artificial Intelligence (AI)-Driven Network Operations Market Overview

• Artificial Intelligence (AI)-Driven Network Operations market size has reached to $15.98 billion in 2025 • Expected to grow to $42.08 billion in 2030 at a compound annual growth rate (CAGR) of 21.4% • Growth Driver: The Rapid Growth Of Data Traffic Is Fueling The Growth Of The Market Due To Rising Mobile Data Consumption • Market Trend: Real-Time Telemetry and Predictive Fault Detection Transforming Network Operations • North America was the largest region in 2025 and is the fastest growing region.
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What Is Covered Under Artificial Intelligence (AI)-Driven Network Operations Market?

Artificial intelligence (AI)-driven network operations refer to the use of artificial intelligence and machine learning to monitor, manage, and optimize network performance in real time. These systems analyze large volumes of network data to predict issues, automate troubleshooting, and improve reliability with minimal human intervention. By enabling self-learning and adaptive decision-making, AI-driven operations enhance efficiency, scalability, and overall network resilience. The main components of artificial intelligence (AI)-driven network operations include solutions and services. Solutions refer to platforms that leverage artificial intelligence to monitor, automate, secure, and optimize network performance across complex enterprise environments. These solutions are deployed through on-premise, cloud-based, and hybrid models. and are adopted by organization sizes of large enterprises and small and medium enterprises. The key applications of network monitoring, network automation, network security, fault management, performance management, and other applications, while the end-users includers include telecommunications, information technology (IT) and information technology-enabled services (ITeS), banking, financial services, and insurance (BFSI), healthcare, manufacturing, retail, and other end-users.
Artificial Intelligence (AI)-Driven Network Operations market report bar graph

What Is The Artificial Intelligence (AI)-Driven Network Operations Market Size and Share 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.

What Is The Artificial Intelligence (AI)-Driven Network Operations Market Growth Forecast?

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.

Global Artificial Intelligence (AI)-Driven Network Operations Market Segmentation

1) By Component: Solutions, Services 2) By Deployment Mode: On-Premise, Cloud-Based, Hybrid 3) By Organization Size: Large Enterprises, Small And Medium Enterprises 4) By Application: Network Monitoring, Network Automation, Network Security, Fault Management, Performance Management, Other Applications 5) By End-User: Telecommunications, Information Technology (IT) And Information Technology Enabled Services (ITeS), Banking, Financial Services, And Insurance (BFSI), Healthcare, Manufacturing, Retail, Other End-Users Subsegments: 1) By Solutions: Network Monitoring And Analytics, Predictive Maintenance Solutions, Automated Fault Management, Traffic Optimization Solutions, Security And Threat Detection Solutions 2) By Services: Consulting And Strategy Services, Deployment And Integration Services, Managed Network Operations Services, Support And Maintenance Services, Training And Advisory Services

What Is The Driver Of The Artificial Intelligence (AI)-Driven Network Operations Market?

The rapid growth of data traffic is expected to propel the growth of the artificial intelligence (AI)-driven network operations market going forward. Data traffic refers to the volume of digital information transmitted across communication networks. Data traffic is increasing primarily due to the rapid growth of video streaming and high-bandwidth applications across mobile devices and connected networks. Artificial intelligence (AI)-driven network operations solutions are witnessing increased demand as the rapid expansion of data traffic pushes companies to adopt 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 increased by approximately 18% year over year in 2025, reaching over 1.2 billion gigabytes per month, reflecting a strong acceleration in network traffic demand. Therefore, the rapid growth of data traffic is driving the growth of the artificial intelligence (AI)-driven network operations industry.

Key Players In The Global Artificial Intelligence (AI)-Driven Network Operations Market

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.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI)-Driven Network Operations Market?

In March 2024, Cisco Systems Inc., a US-based provider of networking and IT infrastructure services, acquired Splunk for $28 billion. With this acquisition, Cisco aims to enhance its software capabilities, strengthen its cybersecurity and IT operations management presence, and leverage AI-driven analytics to improve observability across hybrid and multi-cloud environments. Splunk Inc. is a US-based provider of data analytics, observability, and security software solutions that enable organizations to monitor, analyze, and act upon machine-generated data.

Regional Insights

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

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What Defines the Artificial Intelligence (AI)-Driven Network Operations Market?

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.

How is Market Value Defined and Measured?

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.

What Key Data And Analysis Are Included In The Artificial Intelligence (AI)-Driven Network Operations Market Report 2026?

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

Artificial Intelligence (AI)-Driven Network Operations Market Report Forecast Analysis

Report Attribute Details
Market Size Value In 2026$19.37 billion
Revenue Forecast In 2035$42.08 billion
Growth RateCAGR of 21.2% from 2026 to 2035
Base Year For Estimation2025
Actual Estimates/Historical Data2020-2025
Forecast Period2026 - 2030 - 2035
Market RepresentationRevenue in USD Billion and CAGR from 2026 to 2035
Segments CoveredComponent, Deployment Mode, Organization Size, Application, End-User
Regional ScopeAsia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
Country ScopeThe countries covered in the report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Key Companies ProfiledDell 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.
Customization ScopeRequest for Customization
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