자율 네트워크 시장 평가 : 컴포넌트별, 용도별, 기업 규모별, 최종 용도 산업별, 지역별, 기회, 예측(2018-2032년)

Global autonomous network market is projected to witness a CAGR of 20.27% during the forecast period 2025-2032, growing from USD 6.63 billion in 2024 to USD 29.02 billion in 2032.

The autonomous network market is growing tremendously as communication service providers (CSPs) seek to improve operational efficiency and drive revenue. According to Nokia Corporation, implementing autonomous networks offers CSPs an average cost savings and annual revenue uplift of about USD 794 million. This indicates the financial potential of autonomous networks in transforming network management and service delivery. Autonomous networks utilize advanced technologies such as artificial intelligence, machine learning, and automation to reduce manual intervention in the network and increase network reliability. Such networks dynamically adapt to changing demands and optimize resource allocation while enhancing customer experiences. Such solutions are increasingly adopted to stay ahead of the competition as CSPs are faced with increased demand for seamless connectivity and efficient network operations.

High initial implementation costs, inadequate awareness of skilled expertise, and difficulties integrating autonomous systems with existing infrastructures inhibit widespread adoption. Regulatory compliance and concerns about cybersecurity also impede further progress. Addressing these challenges requires strategic investments in research and development, workforce training, and collaboration with technology providers. Therefore, the autonomous network market is witnessing continuous innovation, with a growing demand for scalable and self-managing networks encouraged by breakthroughs in AI and cloud technologies.

For example, in June 2024, Arista Networks, Inc. launched the Etherlink AI platforms optimized for autonomous networking in large AI clusters. The new systems enhance performance and scalability for demanding AI workloads, leveraging advanced monitoring and AI-optimized features to support efficient, high-capacity network architectures.

Increased Network Complexity Promoting Growth in the Autonomous Network Market

Increased network complexity is a key driver of autonomous networking market growth in various sectors such as IT and Telecommunication, healthcare, transportation, and logistics with the increasing complexity. Furthermore, telecom operators face challenges related to the integration of 5G technology, increased IoT devices, and a surge in data traffic demand as telecom evolves. These complexities create the need for more advanced solutions in network management. Autonomous networks use artificial intelligence and machine learning to automatically configure, heal, and optimize processes. This is the key to managing complex networks efficiently and effectively while reducing the chance of human error and improving performance. The need for solutions that can deal with network complexity will be on the rise as telecom operators endeavor to reach higher levels of autonomy, with over 60% aiming for Level 3 or higher by 2028. Autonomous networking technologies offer the right tools for addressing these challenges and will thus be crucial in the future of telecommunications.

For example, in September 2024, Arista Networks, Inc. enhanced its CloudVision platform, enabling a modern network operating model across enterprise domains. The update simplifies operations with automation, observability, and zero trust security, reducing costs and improving reliability for data centers, campuses, and wide area networks.

Artificial Intelligence for IT Operations Fueling the Autonomous Network Market

Artificial intelligence for IT operations (AIOps) is a crucial driver of the autonomous network market, with the integration of AI and analytics into operational processes to enhance service lifecycle management and service assurance for telecommunications providers. It simplifies the complexity of managing modern networks, such as 5G and network slicing, by automating service design and zero-touch provisioning. Automation allows for real-time monitoring and configuration, thereby enhancing network management efficiency.

AIOps also helps improve customer experience by automatically detecting and resolving issues before affecting the users. It also supports impact analysis and root-cause analysis, which help service providers minimize downtime and enhance service reliability. AIOps optimizes services based on user intent to ensure critical applications get the required bandwidth. As a result, telecom operators are shifting towards a technology-focused approach with the incorporation of AIOps, driving innovation and operational efficiency in the autonomous network landscape.

For example, in October 2024, Nokia Corporation integrated AI-driven operations (AIOps) into its Altiplano Access Controller, enhancing broadband network automation. This advancement enables faster anomaly detection and improved resource utilization, driving efficiency and service reliability through AI applications and smart analytics from Nokia's Altiplano Marketplace.

Government Initiatives Fostering Revenue in the Autonomous Network Market

The autonomous network market is witnessing significant growth, driven by various government initiatives across the world. The Open RAN Policy Coalition in the United States, promotes the adoption of Open Radio Access Networks (ORAN), focusing on open interfaces and interoperability. This encourages innovation and reduces vendor lock-in, thus encouraging a more competitive landscape. Meanwhile, the European Union's Smart Networks and Services Joint Undertaking (SNS JU) under Horizon Europe focuses on advancing 6G networks through research and innovation in the European Union. The SNS JU plans to create self-healing and self-optimizing networks by leveraging AI and machine learning. Furthermore, the Ministry of Internal Affairs and Communications in Japan is spearheading 5G-Advanced, deploying autonomous capabilities for dynamic resource allocation and edge computing. Hence, these government-backed efforts enhance network efficiency and performance as well as provide the way for the integration of autonomous networks into more pervasive use, transforming infrastructure in telecommunications.

For example, in March 2024, the United States Department of Homeland Security unveiled its AI Roadmap, launching pilot projects to enhance immigration training, community resilience, and law enforcement efficiency, showcasing the potential of autonomous networks in advancing national security and operational effectiveness.

IT and Telecommunications Industry Leading in Autonomous Network Market

The IT and telecommunication industry is leading the way in autonomous networks through the integration of innovations such as artificial intelligence, big data, cloud computing, and edge computing. All these innovations help service providers deploy and manage networks more efficiently, resulting in faster, cheaper, and simpler service delivery. According to TM Forum, this evolution opens up more than USD 700 billion in new revenue opportunities in the industrial 5G and Business-to-Business-to-Anything (B2B2x) market for cloud service providers (CSPs), facilitating the management of a massive number of devices connected. Additionally, autonomous networks help achieve ultra-low latency and high reliability necessary for 5G applications. Therefore, this will enable the cloud service providers to offer a "Zero X" experience with zero wait, zero-touch, and zero trouble, which would make user simplicity better at managing underlying complexities.

North America Dominates Autonomous Network Market Share

North America is at the forefront of the autonomous network market, primarily owing to the robust technological infrastructure and investments in innovation. Large telecom and technology companies are continuously researching and developing autonomous network solutions by utilizing advanced artificial intelligence and machine learning technologies. This region has a highly skilled workforce and domain knowledge, which enables rapid advancements in network automation. North America hosts the biggest data centers and cloud computing resources that are important for processing massive amounts of data for autonomous networks. Growing demands for high-speed connectivity, especially from Industry 4.0 applications, require intelligent and self-managing networks. Efforts from industry leaders, research institutes, and government initiatives will create an environment where technologies related to autonomous networks will be developed and implemented to strengthen North America's leading position in the autonomous network market.

For instance, in October 2024, Cisco Systems, Inc. launched the Webex AI Agent and AI solutions for contact centers. These solutions utilize advanced conversational intelligence to automate customer interactions, enhance self-service, and streamline issue resolution, thereby transforming customer experiences and fostering brand loyalty.

Future Market Scenario (2025 - 2032F)

Autonomous networks will enhance urban mobility, allowing self-driving vehicles to communicate seamlessly with traffic systems, reducing congestion, and improving safety.

Companies will depend on autonomous networks for logistics and use drones, among other automated trucks, in delivering goods which will minimize costs while maximizing delivery speed.

Emergence of smart cities where autonomous networks manage the distribution of energy, traffic flow, and public services in sustainable urban environments.

Autonomous networks will bring several health benefits, such as remote monitoring and telemedicine, where the patient receives medical care without going to facilities.

Key Players Landscape and Outlook

The key player landscape for the autonomous network market involves a mix of telecom companies, technology providers, and research institutions working together to develop and implement advanced solutions that increase network efficiency and reliability. Major telecom operators invest highly in automation and AI to streamline operations and costs. Technology providers focus on developing innovative software solutions that enable seamless network management and self-healing capabilities. Research institutions add to the development of new methodologies and frameworks that facilitate autonomous networking. The autonomous network market has a positive outlook as demand for operational efficiency and better customer experiences is increasing. There is increased competition, and the new autonomous network landscape will necessitate that players focus more on digital transformation and data-driven strategies to stay ahead.

In November 2024, Tech Mahindra Limited and Amazon Web Services, Inc. announced a multi-year Strategic Collaboration Agreement to develop an Autonomous Networks Operations Platform, enhancing telecom network operations with generative AI and machine learning technologies.

In January 2024, Hewlett Packard Enterprise Company announced its acquisition of Juniper Networks, Inc., in an all-cash transaction valued at approximately USD 14 billion. The deal aims to enhance AI-driven networking solutions, accelerate HPE's growth strategy, and improve profitability and cash flow.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

• 4.1. Product and Market Intelligence
• 4.2. Mode of Brand Awareness
• 4.3. Factors Considered in Purchase Decisions
  • 4.3.1. Features and Other Value-Added Service
  • 4.3.2. IT Infrastructure Compatibility
  • 4.3.3. Efficiency of Solutions
  • 4.3.4. After-Sales Support
• 4.4. Consideration of Privacy and Regulations

5. Global Autonomous Network Market Outlook, 2018-2032F

• 5.1. Market Size Analysis & Forecast
  • 5.1.1. By Value
• 5.2. Market Share Analysis & Forecast
  • 5.2.1. By Component
    • 5.2.1.1. Solution
    • 5.2.1.2. Services
      • 5.2.1.2.1. Professional Services
      • 5.2.1.2.2. System Integration and Deployment
      • 5.2.1.2.3. Support and Maintenance
  • 5.2.2. By Application
    • 5.2.2.1. AI Networking
    • 5.2.2.2. Artificial Intelligence for IT Operations (AIOps)
    • 5.2.2.3. Network Management Tools
    • 5.2.2.4. Network Function Virtualization (NFV)
    • 5.2.2.5. Software Defined Networking (SDN)
    • 5.2.2.6. Intent-Based Networking
  • 5.2.3. By Company Size
    • 5.2.3.1. Large Enterprises (>1000 Employees)
    • 5.2.3.2. Small and Medium Enterprises (SMEs) (<1000 Employees)
  • 5.2.4. By End-user Industry
    • 5.2.4.1. IT and Telecommunication
    • 5.2.4.2. Hospitality
    • 5.2.4.3. Healthcare
    • 5.2.4.4. Education
    • 5.2.4.5. Transportation and Logistics
    • 5.2.4.6. Government
    • 5.2.4.7. Others
  • 5.2.5. By Region
    • 5.2.5.1. North America
    • 5.2.5.2. Europe
    • 5.2.5.3. Asia-Pacific
    • 5.2.5.4. South America
    • 5.2.5.5. Middle East and Africa
  • 5.2.6. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
• 5.3. Market Map Analysis, 2024
  • 5.3.1. By Component
  • 5.3.2. By Application
  • 5.3.3. By Company Size
  • 5.3.4. By End-user Industry
  • 5.3.5. By Region

6. North America Autonomous Network Market Outlook, 2018-2032F*

• 6.1. Market Size Analysis & Forecast
  • 6.1.1. By Value
• 6.2. Market Share Analysis & Forecast
  • 6.2.1. By Component
    • 6.2.1.1. Solution
    • 6.2.1.2. Services
      • 6.2.1.2.1. Professional Services
      • 6.2.1.2.2. System Integration and Deployment
      • 6.2.1.2.3. Support & Maintenance
  • 6.2.2. By Application
    • 6.2.2.1. AI Networking
    • 6.2.2.2. Artificial Intelligence for IT Operations (AIOps)
    • 6.2.2.3. Network Management Tools
    • 6.2.2.4. Network Function Virtualization (NFV)
    • 6.2.2.5. Software Defined Networking (SDN)
    • 6.2.2.6. Intent-Based Networking
  • 6.2.3. By Company Size
    • 6.2.3.1. Large Enterprises (>1000 Employees)
    • 6.2.3.2. Small and Medium Enterprises (SMEs) (<1000 Employees)
  • 6.2.4. By End-user Industry
    • 6.2.4.1. IT and Telecommunication
    • 6.2.4.2. Hospitality
    • 6.2.4.3. Healthcare
    • 6.2.4.4. Education
    • 6.2.4.5. Transportation and Logistics
    • 6.2.4.6. Government
    • 6.2.4.7. Others
  • 6.2.5. By Country Share
    • 6.2.5.1. United States
    • 6.2.5.2. Canada
    • 6.2.5.3. Mexico
• 6.3. Country Market Assessment
  • 6.3.1. United States Autonomous Network Market Outlook, 2018-2032F*
    • 6.3.1.1. Market Size Analysis & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share Analysis & Forecast
      • 6.3.1.2.1. By Component
        • 6.3.1.2.1.1. Solution
        • 6.3.1.2.1.2. Services
        • 6.3.1.2.1.2.1. Professional Services
        • 6.3.1.2.1.2.2. System Integration and Deployment
        • 6.3.1.2.1.2.3. Support and Maintenance
      • 6.3.1.2.2. By Application
        • 6.3.1.2.2.1. AI Networking
        • 6.3.1.2.2.2. Artificial Intelligence for IT Operations (AIOps)
        • 6.3.1.2.2.3. Network Management Tools
        • 6.3.1.2.2.4. Network Function Virtualization (NFV)
        • 6.3.1.2.2.5. Software Defined Networking (SDN)
        • 6.3.1.2.2.6. Intent-Based Networking
      • 6.3.1.2.3. By Company Size
        • 6.3.1.2.3.1. Large Enterprises (>1000 Employees)
        • 6.3.1.2.3.2. Small and Medium Enterprises (SMEs) (<1000 Employees)
      • 6.3.1.2.4. By End-user Industry
        • 6.3.1.2.4.1. IT and Telecommunication
        • 6.3.1.2.4.2. Hospitality
        • 6.3.1.2.4.3. Healthcare
        • 6.3.1.2.4.4. Education
        • 6.3.1.2.4.5. Transportation and Logistics
        • 6.3.1.2.4.6. Government
        • 6.3.1.2.4.7. Others
  • 6.3.2. Canada
  • 6.3.3. Mexico

All segments will be provided for all regions and countries covered

7. Europe Autonomous Network Market Outlook, 2018-2032F

• 7.1. Germany
• 7.2. France
• 7.3. Italy
• 7.4. United Kingdom
• 7.5. Russia
• 7.6. Netherlands
• 7.7. Spain
• 7.8. Turkey
• 7.9. Poland

8. Asia-Pacific Autonomous Network Market Outlook, 2018-2032F

• 8.1. India
• 8.2. China
• 8.3. Japan
• 8.4. Australia
• 8.5. Vietnam
• 8.6. South Korea
• 8.7. Indonesia
• 8.8. Philippines

9. South America Autonomous Network Market Outlook, 2018-2032F

• 9.1. Brazil
• 9.2. Argentina

10. Middle East and Africa Autonomous Network Market Outlook, 2018-2032F

• 10.1. Saudi Arabia
• 10.2. UAE
• 10.3. South Africa

11. Porter's Five Forces Analysis

12. PESTLE Analysis

13. Market Dynamics

• 13.1. Market Drivers
• 13.2. Market Challenges

14. Market Trends and Developments

15. Case Studies

16. Competitive Landscape

• 16.1. Competition Matrix of Top 5 Market Leaders
• 16.2. SWOT Analysis for Top 5 Players
• 16.3. Key Players Landscape for Top 10 Market Players
  • 16.3.1. Arista Networks, Inc.
    • 16.3.1.1. Company Details
    • 16.3.1.2. Key Management Personnel
    • 16.3.1.3. Products and Services
    • 16.3.1.4. Financials (As Reported)
    • 16.3.1.5. Key Market Focus and Geographical Presence
    • 16.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 16.3.2. Ciena Corporation
  • 16.3.3. Cisco Systems, Inc.
  • 16.3.4. Ericsson AB
  • 16.3.5. Extreme Networks, Inc.
  • 16.3.6. Hewlett Packard Enterprise Company
  • 16.3.7. Huawei Technologies Co., Ltd
  • 16.3.8. International Business Machines Corporation
  • 16.3.9. NEC Corporation
  • 16.3.10. Nokia Corporation

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

17. Strategic Recommendations

18. About Us and Disclaimer