Industries

Frost & Sullivan’s Top 10 Growth Opportunities Across the Global IoT Market, 2026, are based on insights gathered from regional research teams. Contributions from research analysts draw on the Frost & Sullivan knowledge base, supported by both primary and secondary research.The report identifies the top 10 IoT growth opportunities for 2026, analyzi...

This edition of the Cyber Security Technology Opportunity Engine (TOE) captures developments related to AI-Native Identity Security, Supply-Chain Security, AI-Native Application Security, Data Security, Social Engineering Defense, Autonomous Penetration Testing, AI-Powered Security Workflows, External Threat Landscape Management, Browser Detection ...

Enterprise AI adoption has accelerated, but visibility into how AI is actually used, governed, and valued inside organizations remains limited. Traditional adoption metrics—such as license counts or surface‑level usage statistics—no longer reflect AI’s real contribution to productivity, risk management, and business performance. As AI shifts decisi...

The rapid expansion of AI infrastructure has driven unprecedented growth in cloud provider backlogs, with RPO emerging as a critical indicator of future demand. However, not all contracted revenue backlog represents equivalent business value. Some RPO reflects robust, executable demand that providers can profitably fulfill, while some embed a subst...

This Frost Radar™ provides a comprehensive benchmark of the remote SIM provisioning (RSP) competitive landscape at a pivotal moment in the evolution from legacy M2M SIM management to scalable, cloud-native internet of things (IoT) IoT connectivity. As the GSMA SGP.32 specification moves from definition to early commercialization, leading vendors ar...

As enterprise adoption of AI enters a more demanding phase, the source of competitive advantage is shifting. In 2026, success is no longer determined by access to advanced models or the scale of experimentation, but by an organization’s ability to operationalize AI reliably within core workflows. This report examines how AI applications and use cas...

Enterprise use of AI has moved past experimentation. Many organizations now run AI inside core workflows that affect customers, operations, and compliance. This shift has changed what enterprises expect from AI implementation and managed service providers. Success no longer hinges on launching a model or completing a deployment. It depends on wheth...

As artificial intelligence moves from experimentation into the operational core of the enterprise, the demands placed on implementation and managed service providers are changing fundamentally. Early AI success was defined by proof points: models deployed, pilots completed, productivity gains demonstrated. Today, success is defined by durability: t...

This edition of the IT, Computing and Communication Technology Opportunity Engine explores growth in AI-driven intelligence, synthetic data, multi-modal AI, intelligent document processing, workflow automation, finance orchestration, compliance automation, embedded finance, cross-border payments, blockchain-enabled trade finance, tokenization, priv...