When an enterprise requires cloud infrastructure, it typically partners with a hyperscaler like Amazon or Microsoft. But as enterprises scale their Artificial Intelligence (AI) workloads and face sovereign AI pressures, neoclouds are disrupting the compute supply chain.

Artificial Intelligence (AI) workloads demand significant computing resources, necessitating enterprises to partner with reliable cloud service providers. Hyperscalers like Amazon Web Services (AWS), Microsoft Azure, and Google dominate the market with a more than 60% share. However, enterprises now require more custom cloud solutions tailored to their region and specific business outcomes.

Fixed Wireless Access (FWA) continues to gain traction in the enterprise space as organizations require cellular connectivity for their digitalization projects. Communication Service Providers (CSPs) and Mobile Network Operators (MNOs) are increasingly looking to offer FWA connectivity to support enterprises that cannot depend on traditional fiber or cable broadband.

As enterprises deepen their digital transformation initiatives, the need for a unified architecture to manage and access data across disparate systems is becoming critical. A data fabric—a cohesive data management framework that integrates data from various sources and locations—is emerging as a cornerstone for future-ready enterprises. Yet, implementing a data fabric comes with its own set of challenges.

The modern enterprise only uses about 5% of the data it generates. With so much vital information flying under the radar, companies are not always making the best business decisions. This challenge will only worsen if you do not adopt a data fabric.

Manufacturers are expected to spend more than US$1 billion on private 5G in 2025. Growing at a robust Compound Annual Growth Rate (CAGR) of 45.7%, that number will surpass US$8.7 billion by 2030.

The modern enterprise faces significant macroeconomic challenges, with high inflation, rising energy and production costs, and widespread labor shortages affecting operations. To overcome these challenges, enterprises are further digitizing, taking advantage of everything from Augmented Reality (AR) to the Internet of Things (IoT). These high-bandwidth applications require a formidable connectivity backbone, making 5G deployments a key enabler of digitization. 5G promises big connectivity upgrades for enterprises, supporting Enhanced Mobile Broadband (eMBB), Enhanced Ultra-Reliable Low Latency Communication (eURLLC), and Massive Machine-Type Communication (mMTC).

5G is synonymous with terms like network slicing, Software-Defined Networking (SDN), network automation, and network virtualization. All of these telecommunications industry concepts can pave the way for neutral host networks to be a popular deployment model for telcos, particularly Mobile Network Operators (MNOs). Neutral host providers allow MNOs to leverage shared network infrastructure, which translates to reduced Capital Expenditure (CAPEX), minimal operational costs, and quicker time to deploy new services. The latest trends in the private cellular network space point toward a future where neutral host networks are more widespread.

Automation is bound to serve a crucial cellular network function in the face of increased enterprise digitization. The accelerated demand for connectivity, in tandem with more data generated on enterprise premises, makes the manual configuration of cellular networks inadequate. Network automation is important for optimizing limited radio resources in an age when 5G technology introduces more complicated network management.