A recent study conducted by Juniper Research has revealed that network operators worldwide are projected to spend $20 billion on Artificial Intelligence (AI) for network orchestration by the year 2028. This marks a substantial increase of 240% from the $6 billion spent in 2024.
The study suggests that the growing utilization of cellular networks by enterprises, particularly in areas such as smart manufacturing and autonomous vehicles, will require further investment in AI. This technology will play a crucial role in automating complex network processes that are essential for such innovative applications, which demand high-speed connectivity, minimal latency, and extensive geographical coverage.
In order to optimize network efficiency and reduce operational costs, network operators are urged to accelerate the integration of AI within their core networks, according to the report.
The research also emphasizes the significance of AI investments in enhancing network performance and security. As network operators expand their existing 5G networks and prepare for the future adoption of 6G networks, AI is expected to become indispensable. The report highlights performance optimization and network security as the primary drivers for investing in AI, accounting for more than 50% of the projected global spending by operators on AI by 2028.
Furthermore, the increasing virtualization of network functions and the growing demand for cellular data indicate that operators will need to rely on AI to reduce operational costs. The report suggests that real-time network analysis and dynamic adjustment of network conditions, made possible by AI, will be key in minimizing expenses associated with network management and service provision.
While the original article included a quote from Frederick Savage, the research author, we will replace it with a descriptive sentence to provide further insights. According to the study, operators that can offer the best service conditions will attract high-spending users who prioritize network quality.
This new suite of research provides a comprehensive analysis of the AI market in network infrastructure, offering valuable market insights and extensive forecasts across 60 countries. It includes a vast dataset spanning five years, a Competitor Leaderboard, and an exploration of current and future market opportunities. The findings underscore the critical role of AI in shaping the future of network orchestration and highlight the need for strategic investments in this technology to stay competitive in the evolving telecommunications landscape.
FAQ Section:
1. What is the projected spending on Artificial Intelligence (AI) by network operators for network orchestration in 2028?
– Network operators worldwide are projected to spend $20 billion on AI for network orchestration in 2028.
2. How does this projection compare to the spending in 2024?
– This projection marks a substantial increase of 240% from the $6 billion spent in 2024.
3. Why is further investment in AI required for cellular networks?
– The growing utilization of cellular networks by enterprises, particularly in areas like smart manufacturing and autonomous vehicles, requires further investment in AI. AI plays a crucial role in automating complex network processes and providing high-speed connectivity, minimal latency, and extensive geographical coverage.
4. What are the benefits of integrating AI within core networks?
– Integrating AI within core networks optimizes network efficiency and reduces operational costs for network operators.
5. How does AI investment enhance network performance and security?
– AI investment enhances network performance and security by supporting the expansion of 5G networks, preparing for the future adoption of 6G networks, and driving performance optimization and network security.
6. Why will operators rely on AI to reduce operational costs?
– The increasing virtualization of network functions and growing demand for cellular data necessitate the use of AI to reduce operational costs. Real-time network analysis and dynamic adjustment of network conditions enabled by AI minimize expenses associated with network management and service provision.
7. What attracts high-spending users in terms of network quality?
– According to the study, operators that can offer the best service conditions attract high-spending users who prioritize network quality.
Definitions:
– Artificial Intelligence (AI): The simulation of human intelligence in machines that are programmed to think and learn like humans.
– Network Orchestration: The automatic configuration, coordination, and management of network elements and services in a software-defined network.
Related Links:
– Juniper Research: Visit Juniper Research’s official website for more information on their research and insights in various technology sectors.
The source of the article is from the blog crasel.tk