The shape of what’s next
Today, organizations must navigate rapid change. Environmental impacts, economic shifts and emerging technologies present new opportunities and challenges for organizations worldwide. These developments are altering the fabric of our digital, physical and human worlds. This means that leaders must have a long-term view and a clear technology strategy to achieve results that create value using transformative technologies.
Digitalization has improved business, government and consumer experiences for decades, but their technology and network infrastructures need new capabilities and architectural approaches to take them further. To capitalize on this opportunity and meet organizations' current and new challenges, networks must transform. We are addressing this with our technology strategy, which is based on real-world experience and extensive research to understand what is shaping technology, networks and our world in the future and beyond.
Networks for 2030 and beyond
For networks to meet the escalating demands for latency and throughput in the future, they will need to evolve into cognitive and automated ecosystems capable of addressing the transformative needs and operating models of diverse organizations, industries and consumers. Networks are at the center of extraordinary change, influenced by the rapid advancement of trends and technologies such as artificial intelligence (AI), cloud computing, metaverse, non-terrestrial networks, and network disaggregation. Future network architecture will need to be more dynamic. It will need the agility to swiftly adapt to the shifting landscape of applications and service demands, as well as new business and operating models.
Evolving network DNA to excel
The first challenge is to identify the right set of network technologies to break past complexities and deliver on these emerging demands. Network digital twin technology will be a central building block of the architecture, enabling what-if analysis to improve network design and operation. With the fusion of digital twin technology and the power of AI-driven management and orchestration, we’re moving toward holistic lifecycle management for deployed assets and applications. This paradigm shift is breaking down the static boundaries across networks and clouds, optimizing both the user experience and resource utilization and driving the need for comprehensive cloud networking solutions.
In the evolving landscape of network management, the synergy between digital twins and AI will assume an indispensable role. Their integration will not only revolutionize holistic network lifecycle management but will also serve as a beacon of energy efficiency and sustainability, illuminating the path forward towards a greener and more responsible future.
Finally, a fundamental principle of the network is the absolute necessity of a network that is completely secure and reinforced by quantum-safe encryption. Network application layer unified APIs will create opportunities for a rich developer community, increasing network value, revenue, and the user experience. Multi-cloud fabrics and network-wide AI will power this future network architecture.
Global network traffic report 2030
New technology applications and use cases will largely expand network traffic by 2030. The network must evolve to meet rising throughput and latency demands. The better the network infrastructure supports these new applications and services, the greater their adoption.