Autonomous Networks Market Size & Share 2024 - 2032
Market Size by Component (Solution, Services), by Deployment Model (On-premises, Cloud), by Organization Size (SME, Large Organization), by End User & Forecast.
Report ID: GMI9891
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Published Date: June 2024
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Report Format: PDF
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Authors:
Preeti Wadhwani, Aishvarya Ambekar
Autonomous Networks Market Size
Autonomous Networks Market was valued at USD 6.6 billion in 2023 and is estimated to register a CAGR of over 19% between 2024 and 2032. The autonomous network market growth is driven by advancements in AI & ML, increasing network complexity, and the expansion of 5G technology. AI and ML enable autonomous networks to self-manage, optimize performance, and predict & prevent potential issues.
Autonomous Networks Market Key Takeaways
Market Size & Growth
Key Market Drivers
Challenges
For instance, in February 2024, Juniper Networks enhanced its Mist AI platform to further integrate AI and ML capabilities for network management. It predicts network issues, automates troubleshooting, and optimizes performance, reducing the need for manual intervention.
Autonomous networks are crucial for managing the complex demands of 5G such as dynamic resource allocation, real-time network adjustments, and efficient bandwidth management. 5G technology provides higher data speeds, lower latency, and increased connectivity. For instance, in April 2024, Verizon and AT&T significantly expanded their 5G networks across North America. This expansion supported the increased data demands and necessitated autonomous networks to efficiently manage the complex, high-speed, and low-latency requirements of 5G technology.
The autonomous networks market faces challenges from technological, organizational, and regulatory factors. Technological complexity involves data integration and quality, security concerns, and a lack of standardization. Organizational challenges include skill gaps and change management. Regulatory compliance involves data privacy, evolving regulations, liability, and transparency. These challenges highlight the need for collaboration between technology developers, network operators, and policymakers to develop secure, reliable, and ethically responsible autonomous network solutions.
Autonomous Networks Market Trends
The integration of advanced technologies into autonomous networks is transforming data management and processing. Autonomous networks are crucial for managing and processing data from numerous IoT devices. They facilitate real-time decision-making and automation in industries. They also help in processing and analyzing data from various sensors and devices, facilitating efficient decision-making and operation. For instance, in April 2024, Qualcomm introduced new IoT platforms designed for industrial automation. These platforms leverage autonomous networks to enable real-time monitoring, predictive maintenance, and autonomous control in manufacturing environments.
Autonomous networks support edge computing by managing data processing close to the source. They reduce latency, optimize bandwidth, and enable real-time analytics. Autonomous networks aim to improve network efficiency. For instance, in April 2024, Dell Technologies introduced new edge computing solutions targeted at the retail sector. The company makes use of autonomous networks for handling customer data, inventory management, and in-store analytics.
Autonomous Networks Market Analysis
Based on components, the market is divided into solutions and services. In 2023, the solution segment accounted for a market share of over 65%. Increasing market players focus on introduction of a new autonomous network solutions is expected to drive the market growth. Network monitoring and analytics solutions collect and analyze data from network operations. They ensure optimal performance, detect anomalies, and provide actionable insights. For instance, in February 2024, Cisco introduced new features in its network analytics platform. These features are aimed at improving the detection of network anomalies and providing predictive insights.
Based on deployment model, the market is categorized into on-premises and cloud. The cloud segment accounted for USD 2.4 billion market revenue in 2023. Cloud deployment in autonomous networking involves using cloud platforms to handle network automation, configuration, monitoring, and optimization. Cloud-based network management solutions can streamline broadband services and support modern network infrastructure. For instance, in January 2024, The National Telecommunications and Information Administration initiated cloud deployment for network automation in its broadband improvement plans, emphasizing the benefits of cloud-based solutions in improving network efficiency and resilience. This also enhanced scalability, reduced costs, and provided agility in managing complex network environments.
In 2023, North America dominated the autonomous networks market with over 30% of the market share. There has been a growing focus on integrating AI, enhancing cybersecurity, and developing regulatory frameworks in the region, boosting market growth. The development of autonomous network technologies is carried out to self-diagnose and repair network errors, ensuring continuous operation under various conditions. For instance, in February 2024, the U.S. Department of Defense launched a program to enhance the resilience of defense networks using autonomous technologies, focusing on self-healing and adaptive network capabilities.
In Europe, regulatory frameworks, pilot projects, funding programs, and collaborations are implemented to promote network automation and AI integration and improve network resilience, thereby enhancing the EU’s digital capabilities and supporting the deployment of autonomous networks. For instance, in January 2024, the European Commission launched an initiative to integrate AI into network infrastructure, focusing on autonomous network capabilities across the EU. This enhanced connectivity and supported digital transformation.
In the Asia Pacific region, various initiatives have been taken to advance the autonomous network market, driven by government support and industry collaborations. For instance, in March 2024, Japan's Ministry of Internal Affairs and Communications launched a national program to integrate autonomous network capabilities into 5G infrastructure, improving efficiency & autonomy and reducing operational costs.
Autonomous Networks Market Share
Cisco Systems and Huawei Technologies dominate the market with around 12% share. Cisco Systems leverages its extensive portfolio in networking, security, and cloud services. The company is making progress due to its established presence in the networking industry, a broad customer base, and continuous innovations in autonomous networking. Huawei Technologies is known for its strong focus on AI and ML technologies, big data analytics as well as its leadership in 5G infrastructure. It contributes to the autonomous network market by automating network tasks, making them more efficient and adaptable to the growing digital landscape.
Organizations increase the effectiveness of autonomous network solutions by investing in advanced technologies, enhancing security measures, optimizing resource utilization, and ensuring interoperability and standards compliance, leading to improved performance, reliability, security, and scalability in network operations.
Autonomous Networks Market Companies
Major players operating in the autonomous networks industry are:
Autonomous Networks Industry News
The autonomous networks market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue (USD Billion) from 2021 to 2032, for the following segments:
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Market, By Component
Market, By Deployment Model
Market, By Organization Size
Market, By End-user
The above information is provided for the following regions and countries:
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
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2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
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✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
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Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
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Trust & credibility
Verified data sources
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Industry databases
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Regulatory filings
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Company reports
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GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
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Parameters studied & evaluated
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