Autonomous Networks

Global Autonomous Networks Market to Reach US$24.3 Billion by 2030

The global market for Autonomous Networks estimated at US$7.6 Billion in the year 2024, is expected to reach US$24.3 Billion by 2030, growing at a CAGR of 21.5% over the analysis period 2024-2030. Solutions Offering, one of the segments analyzed in the report, is expected to record a 24.6% CAGR and reach US$16.9 Billion by the end of the analysis period. Growth in the Services Offering segment is estimated at 16.1% CAGR over the analysis period.

The U.S. Market is Estimated at US$2.0 Billion While China is Forecast to Grow at 20.2% CAGR

The Autonomous Networks market in the U.S. is estimated at US$2.0 Billion in the year 2024. China, the world`s second largest economy, is forecast to reach a projected market size of US$3.7 Billion by the year 2030 trailing a CAGR of 20.2% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 20.2% and 18.3% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 15.4% CAGR.

Global Autonomous Networks Market – Key Trends & Drivers Summarized

Why Is the Demand for Autonomous Networks Rising?
The growing demand for autonomous networks is driven by the rapid expansion of digital infrastructure, increasing reliance on artificial intelligence (AI), and the need for enhanced network efficiency. Organizations across various industries are integrating automation into their network management to optimize operations, reduce human intervention, and minimize downtime. The increasing adoption of 5G and edge computing has further necessitated the deployment of autonomous networking solutions to handle the complexity of next-generation communication systems. Moreover, cybersecurity threats have accelerated the adoption of AI-driven self-healing networks that can detect and mitigate vulnerabilities in real-time.

How Are Technological Advancements Shaping Autonomous Networks?
The integration of AI, machine learning (ML), and software-defined networking (SDN) has significantly transformed the landscape of autonomous networks. Intelligent automation enables real-time network analytics, predictive maintenance, and self-optimizing capabilities that enhance overall performance. The evolution of intent-based networking (IBN) allows enterprises to dynamically adjust network configurations based on changing demands. Additionally, cloud-native architectures are becoming a fundamental aspect of autonomous networks, allowing seamless scalability and improved network orchestration. The deployment of digital twin technology has further advanced network simulation and testing, ensuring optimized efficiency before real-world implementation.

Why Are Market Expansion and Industry Collaborations Increasing?
The rapid deployment of smart cities, IoT ecosystems, and industrial automation has bolstered the need for autonomous networks. Telecommunications providers, cloud service companies, and technology giants are heavily investing in AI-driven networking solutions to improve service reliability and enhance customer experience. Industry collaborations and government initiatives supporting AI-driven infrastructure are further accelerating market expansion. Regulatory policies focused on network security and data privacy are also influencing the development of robust, self-regulating networks. The demand for seamless connectivity across multiple platforms and devices has prompted enterprises to embrace autonomous networking for improved operational efficiency.

What Are the Key Growth Drivers of the Autonomous Networks Market?
The growth in the autonomous networks market is driven by several factors, including the increasing demand for low-latency communication, rising investment in AI-powered network management, and expanding cloud computing adoption. The push toward 5G implementation and the rise of smart infrastructure projects have further fueled market expansion. Organizations are focusing on reducing operational costs and improving efficiency by leveraging automation, contributing to increased adoption. The growing need for robust cybersecurity solutions has also played a crucial role in driving the demand for AI-driven autonomous networks. Additionally, the expansion of digital transformation initiatives across various industries continues to create new growth opportunities for autonomous network solutions.

SCOPE OF STUDY:

The report analyzes the Autonomous Networks market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:
Offering (Solutions Offering, Services Offering)

Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 36 Featured) -

• Allied Telesis, Inc.
• BMC Software, Inc.
• Broadcom Inc.
• Ciena Corporation
• Hewlett Packard Enterprise Development LP
• Huawei Technologies Co., Ltd
• IBM Corporation
• Infovista SAS
• NEC Corporation
• Nokia Corporation
• Telefonaktiebolaget LM Ericsson

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