Autonomous Network Market Size, Share, Growth Analysis, By Industry verticals(Healthcare, retail, banking and finance, telecommunications and others), By Technology(Artificial intelligence, machine learning automation, network function virtualization, and others), By Organization size(Small and medium scale industries, large scale industries and others), By Deployment type(On-Premise and Cloud-based), By Region - Industry Forecast 2024-2031

Autonomous Network Market size was valued at USD 4.29 billion in 2021 and is poised to grow from USD 5.46 billion in 2022 to USD 38.95 billion by 2030, growing at a CAGR of 28.01% in the forecast period (2023-2030).

The market for autonomous networks is highly competitive, with multiple vendors providing various products and solutions aimed at automating network management and enhancing network efficiency. This market is predicted to grow significantly in the upcoming years due to several factors, such as the increasing complexity of networks, the adoption of cloud computing and IoT, and the need for better network management solutions. Intense competition characterizes the autonomous network market, with vendors striving to outperform one another in terms of product features, pricing, and customer service. To expand their market reach and enhance their offerings, some vendors are also forming strategic partnerships and alliances. For instance, Cisco Systems has recently teamed up with Google Cloud to provide a hybrid cloud solution that incorporates Cisco's SD-WAN technology and Google Cloud's Anthos platform. 'Cisco Systems, Inc.', 'Juniper Networks, Inc.', 'Huawei Technologies Co., Ltd.', 'Nokia Corporation', 'Ericsson AB', 'Ciena Corporation', 'NEC Corporation', 'Extreme Networks, Inc.', 'Hewlett Packard Enterprise Development LP', 'Arista Networks, Inc.', 'Fujitsu Limited', 'Colt Technology Services Group Limited', 'ECI Telecom Ltd.', 'Aria Networks Ltd.', 'Pluribus Networks Inc.', 'Lumina Networks, Inc.', '128 Technology, Inc.', 'Volta Networks', 'Anuta Networks International, LLC', 'Itential, LLC'

As cloud computing, the Internet of Things (IoT), and other technologies continue to rise, network infrastructure has become increasingly complex. This complexity has made network management challenging, time-consuming, and prone to errors. As a result, organizations are looking to adopt solutions that can help them manage their complex networks more efficiently and effectively. Autonomous networks have emerged as a solution to help manage the increasing complexity of network infrastructure. These networks utilize advanced technologies such as machine learning, artificial intelligence, and automation to automate network management tasks and provide real-time data insights. By doing so, they can help organizations manage their network infrastructure more efficiently, reducing the time and resources required for manual network management tasks.

Network Function Virtualization (NFV) is a prevailing trend in the networking industry that involves the virtualization of network functions such as routing, load balancing, and firewalling. This approach can lead to cost savings and increased agility as it eliminates the need for physical network appliances. Autonomous networks can leverage NFV technology to provide virtualized network functions, which can further streamline network management and increase flexibility. For instance, VMware's NSX SD-WAN by VeloCloud is an autonomous network that utilizes NFV technology to provide virtualized network functions. It offers a cloud-based SD-WAN platform that integrates with existing network infrastructure to simplify network management and provide seamless connectivity. By incorporating NFV technology, NSX SD-WAN by VeloCloud can deliver routing, firewalling, and other network functions virtually, without the need for physical appliances. This approach enables organizations to scale their networks easily, reduce costs, and increase agility.

At present, the autonomous network market is primarily led by North America, which has established its dominance through the widespread adoption of advanced technologies such as artificial intelligence and machine learning. The region's advanced technological infrastructure, coupled with its significant investments in research and development, has enabled it to lead the way in the development of autonomous network solutions. Moreover, the presence of numerous established autonomous network solution providers in North America has helped to fuel the growth of the market in the region. North America's leadership in the autonomous network market can be attributed to its robust ecosystem of technology startups, well-established telecommunications infrastructure, and favorable government policies. As a result, the region has been successful in developing cutting-edge solutions that cater to the diverse needs of industries ranging from healthcare to transportation.