South Korea Autonomous Networks Market Overview, 2031

Key Insights

• The South Korea autonomous networks market is a rapidly growing and dynamic industry driven by the telecommunications sector's demand for AI-powered, self-managing network infrastructure. The market is characterized by the presence of major global vendors such as Nokia, Ericsson, Samsung, and Cisco, alongside domestic telecom giants SK Telecom, KT Corporation, and LG Uplus.
• The Korean market is witnessing a pronounced shift toward AI-native and agentic autonomous networking solutions, driven by the need to manage increasingly complex 5G Standalone, multi-vendor RAN environments, and the transition toward 6G with minimal human intervention.
• SK Telecom is leading the charge with a global standards-based autonomous network strategy, currently developing and operating more than 1,000 autonomous network platforms and AI agents. The company aims to achieve TM Forum Autonomous Networks Level 4, where systems understand situations and make independent decisions with minimal human intervention.
• LG Uplus is enhancing its AI-based platform, AION, with the goal of establishing a "fully autonomous network" by 2028, where AI will autonomously operate and analyze the network.

Market Outlook

• According to the research report, "South Korea Autonomous Networks Market Outlook, 2031," published by Bonafide Research, the South Korea Autonomous Networks Market is expected to reach a market size of more than USD 522.70 Million by 2031.
• The shift toward AI-driven, agentic autonomous networks continues to accelerate as service providers focus on developing solutions that meet the requirements of modern telecommunications infrastructure, including 5G Standalone, 5G-Advanced, and 6G network deployments.
• The increasing demand for low-latency applications such as autonomous vehicles, extended reality, industrial automation, and AI-powered devices presents significant growth opportunities for autonomous networking solutions.
• South Korea plans to launch 6G service nationwide by 2028, with the government focused on transitioning the nationwide 5G network to standalone mode and securing technology for the commercial application of 6G.
• The market is fueled by increasing demand for operational efficiency, the need to reduce manual network management, strong 5G rollout, investments in smart infrastructure, and government-led digital initiatives.

Policies & Regulatory Landscape

• South Korea’s Ministry of Science and ICT (MSIT) serves as the country’s primary telecommunications regulator, overseeing spectrum management, equipment authorization, and market competition while ensuring high-quality and widely accessible communication services.
• In 2025, the South Korean government mandated a nationwide shift to 5G Standalone networks, requiring all base stations to be connected to SA core systems by 2026, while also ensuring that new radio stations are deployed using SA architecture as part of preparations for 5G-Advanced and 6G evolution.
• MSIT introduced spectrum reallocation fee incentives to accelerate 5G expansion, offering reductions in LTE reallocation fees if operators meet targets for indoor 5G base station deployment, with fees potentially decreasing to approximately 2.9 trillion won if more than 20,000 indoor sites are deployed.
• Through the AI-RAN national research initiative, MSIT has designated the Electronics and Telecommunications Research Institute as the lead institution for AI-driven radio access network innovation, supporting approximately 47 billion won in R&D funding through 2030 to strengthen global competitiveness in autonomous networks.
• The government’s 6G core technology development program, supported by MSIT and the Institute of Information & Communications Technology Planning & Evaluation, is advancing autonomous 6G network technologies in collaboration with major telecom operators including SK Telecom, LG Uplus, and SNETICT.
• South Korea’s broader digital transformation initiatives, including smart cities, digital governance, and intelligent transportation systems, are increasingly dependent on high-performance automated network infrastructure, highlighted by a July 7, 2025 investment of 31 billion won by the Ministry of Oceans and Fisheries to develop smart port technologies by 2028.

Autonomous Networks Adoption & Industry Impact

• The South Korea autonomous networks market is primarily driven by the increasing complexity of telecom and enterprise networks due to 5G deployment, multi-cloud adoption, IoT proliferation, and edge computing. With over 70% of mobile devices in South Korea being 5G-capable as of Q3 2024, telecom operators are under pressure to manage increasingly dense and complex network environments.
• KT was the first Korean operator to move to 5G SA, transitioning early in June 2021 with 5G gear from Samsung. According to OpenSignal's December 2025 report, KT offers the fastest 5G download speed in the country.
• LG Uplus is enhancing its AI-based platform, AION, with the goal of establishing a fully autonomous network by 2028. The company is focusing on advancing cloud-based radio access networks (Cloud-RAN) to increase operational flexibility. In December 2025, LG Uplus and Nokia successfully implemented base station functions using virtualized servers instead of dedicated hardware in a commercial network in Cheongdo County, North Gyeongsang Province.
• Cybersecurity is a key driver shaping operator strategies, as organizations prioritize securing their networks against potential threats and ensuring compliance with evolving regulations.

Industry News

• In June 2026, SK Telecom presented its global standards-based autonomous network strategy at TM Forum DTW Ignite 2026 in Copenhagen, emphasizing adoption of TM Forum frameworks to reduce reliance on proprietary systems and targeting Autonomous Networks Level 4 maturity.
• In March 2026, SK Telecom and Ericsson signed a Memorandum of Understanding valid until 2031 to jointly advance next-generation mobile networks from 5G toward 6G, with a focus on developing AI-native network technologies.
• In February 2026, SK Telecom demonstrated AI-RAN base station technology in collaboration with Nokia and HFR, showcasing a hybrid system that integrates AI services and radio access network functions on a shared base station platform capable of both telecom and computing workloads.
• In December 2025, LG Uplus and Nokia validated cloud RAN virtualization technology in a live 5G network trial in Cheongdo-gun, demonstrating progress toward cloud-native and software-defined radio access networks.
• In March 2026, KT, SK Telecom, and LG Uplus deployed AI-driven network management systems for a BTS concert, where SK Telecom introduced its A-One AI operations platform, KT used its W-SDN system to mitigate base station congestion within minutes, and LG Uplus applied predictive autonomous load balancing to manage traffic surges.
• In June 2026, ETRI developed an autonomous 6G core network, described as an intelligent service-programmable mobile core system enabling end-to-end AI automation (Level 3) and supported by more than 60 core patents.
• Also in June 2026, ETRI launched an AI-RAN Global Flagship Project running through 2030, involving SK Telecom, KT, LG Uplus, and academic and industrial partners to accelerate global leadership in AI-native radio access networks.

Segment Analysis

South Korea Autonomous Networks Market By Component Type
• In South Korea, autonomous network solutions are typically implemented across 6 to 10 integrated network domains, including 5G core networks, enterprise LAN, cloud infrastructure, SD-WAN, and cybersecurity platforms. Enterprise deployments generally require 4 to 8 months, while software platforms receive 12 to 18 feature and security updates annually. AI-powered automation resolves 72 to 90 incidents per 100 detected network anomalies, with mean time to detect averaging 1-3 minutes and mean time to resolve ranging from 8-18 minutes in mature enterprise environments.
• Autonomous networking services in South Korea generally require 3 to 6 months for consulting, deployment, integration, and managed operations. Service providers commonly manage 3,000 to 35,000 network nodes across enterprise engagements. AI-assisted service operations resolve 45 to 68 incidents per 100 reported network events, while issue detection occurs within 2-6 minutes and restoration is typically completed within 15-35 minutes, depending on infrastructure complexity and service scope.

South Korea Autonomous Networks Market By Organization Size
• Large enterprises in South Korea operate infrastructures containing 35,000 to 250,000 connected network nodes, covering manufacturing plants, corporate headquarters, smart factories, branch offices, and cloud environments. These organizations automate 1,000 to 4,000 operational workflows, including provisioning, security management, compliance, and network optimization. Enterprise expansion typically introduces 18,000 to 55,000 additional connected endpoints annually, while autonomous platforms reduce critical incident response times to 6-18 minutes.
• South Korean SMEs generally manage 800 to 15,000 network nodes, supported through hybrid and cloud-managed networking environments. Organizations automate 80 to 450 operational workflows, focusing on monitoring, endpoint administration, configuration management, and device provisioning. Growing businesses commonly deploy 600 to 4,000 connected devices annually, while network incidents are generally resolved within 20-55 minutes, depending on automation maturity.

South Korea Autonomous Networks Market By Solution
• Configuration management platforms automatically execute 1,000 to 4,500 configuration changes each day across enterprise environments. Standard deployment of routers, switches, SD-WAN infrastructure, and virtual network functions is completed within 5 to 40 minutes, depending on deployment scale. Automated validation successfully verifies 96 to 99 configuration tasks per 100 execution cycles, reducing manual intervention and deployment inconsistencies.
• Self-healing platforms automatically resolve 78 to 94 network disruptions per 100 detected incidents, particularly across 5G, enterprise WAN, cloud, and smart factory infrastructures. AI optimization engines continuously balance workloads across tens of thousands of interconnected devices, improving service continuity and application performance. Most automated remediation workflows are completed within 4-12 minutes, while adaptive learning models significantly reduce recurring network failures.

South Korea Autonomous Networks Market By Deployment Model Type
• On-premises autonomous networking deployments in South Korea generally require 6 to 10 months, especially across manufacturing, semiconductor, automotive, financial services, and government sectors. These environments typically manage 10,000 to 140,000 physical and virtual infrastructure assets, with scheduled software maintenance occurring 4 to 7 times annually. Infrastructure commissioning, validation, and security testing generally require two to four weeks before production deployment.
• Cloud-based autonomous network deployments are typically completed within 2 to 4 months, supported by extensive enterprise cloud transformation initiatives. These environments commonly scale between 50,000 and 550,000 virtual network instances, enabling rapid infrastructure expansion. Cloud platforms receive 14 to 20 software updates annually, while provisioning of new network resources is generally completed within 2 to 15 minutes.
South Korea Autonomous Networks Market By End User
• Government organizations oversee 15,000 to 150,000 connected endpoints across ministries, municipalities, digital government platforms, and smart city infrastructure. Autonomous monitoring systems process thousands of infrastructure alerts every month, with service restoration generally completed within 12-30 minutes. Continued smart government initiatives are accelerating deployment of AI-assisted network orchestration.
• Healthcare providers manage 18,000 to 160,000 connected medical and administrative devices, including hospital information systems, imaging equipment, laboratory platforms, and patient monitoring devices. Network infrastructure processes tens of thousands of healthcare transactions every hour, while critical communication issues are generally resolved within 8-22 minutes. High network reliability supports uninterrupted clinical operations and digital healthcare services.
• Retail enterprises operate 35,000 to 280,000 connected endpoints across stores, warehouses, fulfillment centers, and digital commerce platforms. During major online shopping campaigns, network traffic typically increases by three to five times normal operating levels, requiring intelligent traffic balancing. Autonomous networking platforms restore service disruptions within 8-25 minutes, ensuring uninterrupted payment processing and inventory management.


Considered in this report
• Historic Year: 2020
• Base year: 2025
• Estimated year: 2026
• Forecast year: 2031

Aspects covered in this report
• Autonomous Networks Market with its value and forecast along with its segments
• Various drivers and challenges
• On-going trends and developments
• Top profiled companies
• Strategic recommendation

By End User
• IT & Telecom
• BFSI
• Transportation
• Government
• Healthcare
• Retail
• Education
• Others

By Organization Size
• Large organization
• SME

By Component Type
• Solution
• Services

By Solution
• Network monitoring and analytics
• Network configuration and management
• Network optimization and self-healing

By Deployment Model Type
• On-premises
• Cloud