01 The Rising Demand for Data Center Networks and Popularity of Connected Devices The increased adoption of cloud computing and advanced applications, like telemedicine, ultra-HD video streaming, virtual reality (VR) streaming, high-frequency stock trading, and linked vehicle safety applications, is driving a massive transformation in data center infrastructure and traffic. Under this pattern, hardware manufacturers are emphasizing the hardware of networks and releasing devices that meet these specifications. This exponential expansion in the market for data centers necessitates enhanced operations, processing speeds, and security, not only via the adoption of data center automation software but also through the use of hardware. Increasingly, data centers are employing artificial intelligence to enhance every element of their operations, including network efficiency, dependability, and efficiency and security. This will push the market of network automation further during the forecast period.In addition, data center network automation and orchestration projects influence network decisions to fulfill business requirements. Plus, the emergence of new applications and business models and the decline in device prices are crucial in promoting the use of IoT. Consequently, the number of connected devices is increasing. Nevertheless, these IoT and Big Data requirements are spawning a new wave of security and technology convergence challenges. The convergence of technologies facilitated by virtual machines, server software, and revolutionary SDN and NFV-based services will enhance cloud infrastructures' data integrity and security. It is anticipated that the arrival of the Open Wi-Fi Policy will stimulate the proliferation of connected devices over the predicted time. In addition, the popularization of Industry 4.0 standards in the manufacturing industry spawned a new generation of networking. Such factors will propel the need for network automation.
01 Scarcity of Professional Skilled Workforce The increasing size and complexity of networks, which require new skillsets and technologies, the difficulties in managing a precise network diagram and network documentation, the troubleshooting processes that contribute to more extended network downtimes, the traditional knowledge and collaboration gaps, and the evolving nature of attacks, which makes network security difficult, are some of the factors that inhibit the growth of the network automation market. In network automation strategic planning, a lack of skills is one of the organizations' most significant obstacles. More than fifty percent of businesses have network automation skills gaps. Automation of a network might reveal skill gaps in network engineers who lack familiarity with new tools and software programming. In addition, application development teams tasked with constructing an internal network or automation software solution lack networking expertise. The market for network automation is anticipated to experience difficulties due to these factors.
01 Technological Advances in the Field Numerous industries have undergone digital transformation as a result of technological development, which has expanded the number of network applications. This has significantly increased the complexity of networks and systems, necessitating the installation of automation for future success and fueling the network automation market growth Currently, intent-based networking skills assist enterprises in keeping up with the demands of digital and cloud-based change. Still, there will be comprehensive automated solutions for network management tools and technologies in the future. In addition, adopting software-defined networks, such as software-defined wide-area networks (SD-WANs), has enabled network-automation tools to evolve from operationally focused point products that address change management and setup into policy and orchestration tools.Data centers are currently under pressure to minimize operating costs and handle many devices, so they prioritize efficiency, simplicity, and automation in their configuration management and use automated solutions. Network vendors are creating broad support for open-source platforms and systems used by data center operators to handle routine tasks like configuration monitoring or data refresh. Hence, such developments in network automation create lucrative opportunities for market participants.
March 2026 Cisco expanded its AI-driven networking portfolio with new automation capabilities integrated into its networking platforms, enabling autonomous operations, predictive issue detection, and improved management of complex enterprise networks.
February 2026 Juniper Networks (HPE Networking) introduced enhanced AI-native networking capabilities through its Mist AI platform, expanding automated network operations, self-healing workflows, and intelligent network assurance solutions for enterprise customers.
January 2026 Nokia expanded its Autonomous Networks solutions with new AI-powered automation capabilities designed to improve network optimization, orchestration, and operational efficiency for telecom operators and enterprise networks.
November 2025 VMware by Broadcom expanded its software-defined networking automation capabilities through enhancements to VMware Cloud Foundation, supporting automated infrastructure management, workload orchestration, and hybrid cloud operations.