Autonomous Networks Market Growing Trends, Future Outlook, Advance Technology, Global Size, Share And Forecast -2029

Autonomous Networks Market Growing Trends, Future Outlook, Advance Technology, Global Size, Share And Forecast -2029
Ericsson (Sweden), Nokia (Finland), NEC Corporation (Japan), Huawei Technologies Co., Ltd (China), Hewlett Packard Enterprise (US), Cisco Systems (US), IBM Corporation (US), Ciena (US), Extreme Networks (US), Arista Networks (US), Broadcom (US), ZTE Corporation (China).
Autonomous Networks Market by Offering (Solutions and Services), End User (Service Providers and Verticals (Hospitality, Education, Government, Healthcare, Transportation & Logistics)) and Region – Global Forecast to 2029

The global Autonomous Networks Market size is projected to grow from USD 7.0 billion in 2024 to USD 17.5 billion by 2029, at a Compound Annual Growth Rate (CAGR) of 20.1%. Continued growth in the autonomous networks market is driven by advancements in AI and machine learning algorithms, which enable more efficient network management, enhanced security protocols, and scalability to meet the increasing demands of interconnected devices and applications. Additionally, the rising complexity of networks, coupled with the need for real-time decision-making, further fuels the adoption of autonomous network solutions among businesses and service providers.

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The autonomous networks market is undergoing significant transformation due to advancements in AI and ML, the rollout of 5G technology, and the increasing demand for high-speed, reliable internet connectivity. Additionally, the growing need for enhanced network security and the expansion of IoT devices drive the adoption of autonomous network solutions for better performance, efficiency, and resilience. This market is divided into segments based on different aspects, such as the type of offering and end users. Offering ranges from essential solutions such as AI networking, AIOPS, Network Management Tools, and other solutions along with various services such as consulting, system integration, & deployment, support & maintenance. End Users include both service providers and verticals such as hospitality, education, government, healthcare, transportation and logistics, and other verticals. These segments collectively offer a comprehensive overview of the evolving autonomous networks landscape and its potential business implications.

“Based on end users, service providers segment to hold the largest market size during the forecast period.”

Within the autonomous networks market, the service providers segment is estimated to capture the largest market size throughout the forecast period of 2024-2029. Service providers are at the forefront of adopting cutting-edge technologies to enhance their network efficiency and reliability, and autonomous networks offer a compelling solution to meet these evolving needs. The increasing demand for seamless connectivity, driven by the spread of IoT devices and the growing popularity of bandwidth-intensive applications, compels service providers to invest in autonomous network solutions to ensure uninterrupted service delivery. Additionally, the rising complexities in network management and operations necessitate deploying autonomous systems to streamline processes and reduce operational costs. Moreover, regulatory mandates and industry standards emphasizing network optimization and security further incentivize service providers to integrate autonomous capabilities into their infrastructure. Overall, the service providers’ segment is set to lead the autonomous networks market as organizations prioritize agility, scalability, and innovation to stay competitive in the digital landscape.

“Based on offering, the services segment is expected to hold a higher growth rate during the forecast period.”

In the forecast period of 2024-2029, the services segment within the autonomous networks market is anticipated to experience notable growth. As companies increasingly adopt autonomous network solutions, there will be a growing demand for specialized expertise to guide them through the implementation process. Consulting services will be crucial in advising businesses on the most effective strategies to integrate autonomous network technologies into their existing infrastructure. Additionally, as these technologies become more sophisticated, there will be a heightened need for ongoing support and maintenance to ensure optimal performance and reliability. Support & maintenance services will thus be in high demand for timely assistance and troubleshooting. Moreover, the complexity of deploying autonomous network solutions requires expert aid in seamlessly integrating them into diverse IT environments. System Integration & deployment services will, therefore, see increased demand as businesses seek to minimize disruptions and maximize the efficiency of their autonomous network deployments.

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Unique Features in the Autonomous Networks Market

Autonomous networks possess the ability to constantly assess their performance and make necessary modifications to enhance network efficiency, traffic flow, and resource allocation. This may aid in lowering latency and enhancing network performance.

Network issues can be found and diagnosed by autonomous networks, which can subsequently take action to automatically resolve them. This can lessen the requirement for manual intervention while also increasing network uptime.

Networks that are autonomous can readily scale up or down to accommodate shifting requirements. For businesses that see variations in network traffic, this can be useful.

Networks that operate autonomously are able to keep an eye out for security risks and respond appropriately. This can lessen the chance of cyberattacks and enhance network security.

These are only some of the special qualities that make autonomous networks unique. We should anticipate even more cutting-edge capabilities and advantages as this technology advances.

Major Highlights of the Autonomous Networks Market

The market for autonomous networks is mostly driven by the combination of machine learning (ML) and artificial intelligence (AI). Predictive maintenance is made possible by these technologies, which let networks identify possible problems and fix them before they happen.

The ability of autonomous networks to mend themselves is one of their most remarkable qualities. These networks have the ability to automatically identify and fix errors, reducing downtime and improving dependability. Autonomous networks are very resilient because they can bounce back from problems fast and without the need for human involvement. This allows them to continue operating even when faced with unforeseen problems.

Intelligent network traffic management is a strength of autonomous networks. They use dynamic traffic routing to instantly reroute data according to the state of the network, which lessens congestion and boosts overall effectiveness.

Autonomous networks, which use AI-driven systems to automatically identify and neutralize threats, place a high priority on security. These networks dynamically modify security policies in response to the changing threat landscape while constantly scanning for possible security breaches. Robust protection against cyber attacks is ensured by this proactive approach to security.

One of the market’s main highlights for autonomous networks is the incorporation of edge computing. Edge computing speeds up response times and lowers latency by processing data closer to the source, which is essential for time-sensitive applications.

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Top Companies in the Autonomous Networks Market


Ericsson is a Swedish multinational telecommunications company. It is one of the globe’s largest telecommunications equipment manufacturers. The company provides numerous products and services, including mobile networks, fixed networks, cloud services, and managed services. Ericsson provides Wi-Fi solutions and services for segments, including utilities, transport, public safety, commercial and industrial real estate, and mobile operators. It has four operating segments: networks, cloud software and services, enterprise, and others. Ericsson’s focus on autonomous networks primarily falls within its “Networks” segment, where it offers solutions like the Ericsson Operations Engine, Self-Organizing Networks (SON), and Network Manager. These solutions utilize AI, automation, and analytics to optimize network performance, streamline operations, and enhance customer experiences. The company has customers in 180 countries across North America, Europe, the Middle East & Africa, Latin America, and Asia Pacific. As of December 2023, Ericsson had an annual revenue of USD 24.8 billion and approximately 99,952 employees worldwide. The company has a geographic presence in North America, Europe, Asia Pacific, Middle East & Africa, and Latin America.


Nokia operates through five major business groups: network infrastructure, mobile networks, cloud and network services, Nokia technologies, Group common and others. The network infrastructure provides the equipment, software, and services that enable all the physical links that power networks. The mobile networks segment creates products and services covering all mobile technology generations. The cloud and network services segment enables CSPs and enterprises to deploy and monetize 5G, cloud-native software, and as-a-service delivery models. The company’s fourth business segment, Nokia Technologies, is responsible for managing Nokia’s patent portfolio and monetizing Nokia’s intellectual property, including patents, technologies, and the Nokia brand. The Group common and other segment presents segment-level information and represents the amounts reported to the management for the purpose of assessing performance and making decisions about resource allocation. Nokia’s autonomous networks solutions fall within its “Network Infrastructure” segment, where it offers a range of cutting-edge offerings. These include Nokia Autonomous Networking, which leverages AI and automation to enhance network performance and efficiency. Additionally, Nokia’s Self-Organizing Networks (SON) automate optimization across wireless networks, while its network management and orchestration solutions streamline operations. On 14 January 2016, Alcatel-Lucent started operating as part of the Nokia Group. Nokia has a worldwide presence across Europe, the Middle East & Africa, Asia Pacific, North America, and Latin America.

NEC Corporation (Japan):

NEC Corporation specializes in integrating IT and network technologies, providing advanced autonomous network solutions. NEC leverages AI and machine learning to enable self-managing networks that enhance operational efficiency and reliability. Their solutions are tailored for various industries, including telecommunications, public safety, and enterprise.

Huawei Technologies Co., Ltd (China)

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. The company’s autonomous network solutions utilize AI and big data analytics to deliver intelligent, self-optimizing, and self-healing network capabilities, focusing on improving network performance and reducing operational complexity.

Hewlett Packard Enterprise (US)

Hewlett Packard Enterprise (HPE) offers comprehensive IT solutions, including autonomous networking products. HPE’s autonomous network solutions are designed to optimize network performance and security through advanced automation, AI, and machine learning technologies, providing efficient and resilient network operations.

Cisco Systems (US)

Cisco Systems is a global leader in networking hardware, software, and telecommunications equipment. Cisco’s autonomous network solutions integrate AI and machine learning to automate network management, improve security, and enhance operational efficiency. Their solutions are designed to support digital transformation and next-generation network demands.

IBM Corporation (US)

IBM provides a broad range of IT and networking solutions, including autonomous network technologies. IBM’s autonomous networking solutions leverage AI, machine learning, and analytics to enable self-managing and self-optimizing networks. These solutions aim to reduce operational costs, enhance network reliability, and support the evolving needs of businesses in various sectors.

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