Artificial Intelligence Defines 2026 Canalys Channels Forum

The annual conference highlighted how industry partners are scaling AI services for global enterprise demand.

Updated on Oct. 16, 2026 in Artificial Intelligence

Isometric editorial illustration of stacked modular server racks, representing the growth of enterprise AI integration and data infrastructure.
The 2026 Canalys Channels Forum highlighted an $85 billion surge in global AI services spending as enterprise partners prioritize scalable technology solutions. AI Illustration. Upload story photo >

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Artificial intelligence emerged as the primary focus of the 2026 Canalys Channels Forum, marking a pivotal year for industry integration. Global spending on AI-related services reached $85 billion as partners prioritized this technology to meet client requirements.

Why it matters

AI adoption serves as a critical growth driver for the partner ecosystem. Enterprises currently require expert guidance to navigate complex IT environments while balancing the competing needs of operational resilience and business agility.

Global spending on AI-related services reached $85 billion throughout 2026. Partners are currently building specialized architectural and service components to handle data sovereignty and security requirements.

The players

Canalys Channels Forum

This is a major international conference that connects IT distributors, vendors, and service providers to discuss industry trends and strategic partnerships.

The details

Partners assist customers with the full lifecycle of AI, including implementation, integration, and managed services. Distributors who invested early in AI capabilities have found significant success by helping clients address demand for data security.

Timeline

  1. The 2026 Canalys Channels Forum took place throughout 2026.

The Tech Race

This focus on AI services marks a transition away from general cloud migration toward specialized AI-driven infrastructure. The industry is currently locked in an arms race to provide the architectural components necessary to secure enterprise data sovereignty.

The integration of AI services means that businesses and individual end-users can expect more managed security and automated support in their IT workflows. While these services promise increased agility, users should note that the complexity of these new architectures may require longer implementation timelines.

The takeaway

The rapid adoption of AI services underscores that data security and sovereignty are now the primary concerns for modern enterprise clients. Organizations should prioritize working with partners who have proven expertise in building resilient architectural frameworks to ensure long-term stability.

Further reading

For more context on the current industry shifts, explore the Artificial Intelligence section.

Source note: This article includes information reported by Computer Weekly.

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