The report titled “AI in Networks Market: Global Forecast to 2029,” covering offerings such as routers and switches, AI networking platforms, management software, and software-defined networking, has been added to ResearchAndMarkets.com’s portfolio.
The global AI in Networks market is projected to grow from USD 10.9 billion in 2024 to USD 46.8 billion by 2029, achieving a compound annual growth rate (CAGR) of 33.8%.
Key Highlights:
- Growth Drivers: The increasing adoption of 5G technology is driving market growth, as it supports high-bandwidth applications in smart cities, video surveillance, and IoT devices. This surge in data generation necessitates AI solutions for network management and optimization to enhance customer experiences.
- Major Players: Key companies in the AI in Networks market include NVIDIA Corporation, Cisco Systems, Telefonaktiebolaget LM Ericsson, Hewlett Packard Enterprise, and Arista Networks.
- Software Offerings: The AI in Networks market for software is expected to experience significant growth due to the rising demand for enhanced network data analytics. Software solutions provide real-time insights into network performance and threats, allowing operators to proactively address issues before they affect service quality.
- Machine Learning Technology: Machine learning is anticipated to hold the largest market share during the forecast period, automating various network management tasks and efficiently handling vast amounts of network traffic to deliver real-time insights.
- Telecom Service Providers: This sector is projected to dominate the market share, driven by the adoption of AI-driven solutions to manage network operations, identify cyber threats, and perform automation tasks.
- Regional Insights: North America is expected to account for the highest market share, bolstered by the presence of leading AI and network companies, along with the increasing need for advanced AI-driven security solutions due to rising cyber threats.
This comprehensive analysis highlights the substantial growth potential within the AI in Networks market, fueled by technological advancements and increasing demand for efficient network management solutions.
