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This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) captures developments related to Artificial Intelligence, Generative AI, Edge AI. These technologies empower users to provides visual development tools, and business process management features, enabling rapid deployment of applications. This flexibility hel...

After a strong performance in 2024, the global video conferencing devices market entered a period of moderated growth in 2025. Unit shipments increased by 3.3%, while revenue grew 5.8%, supported by higher average selling prices. The slowdown reflects growing market maturity, ongoing macroeconomic uncertainty, and shifting enterprise technology pri...

The AI landscape is undergoing rapid transformation, driven by disruptive technologies, evolving enterprise needs, and the imperative to innovate at scale. This study identifies the Top 10 Growth Opportunities in AI Technologies and Platforms that will shape global markets in 2025 and beyond. These opportunities reflect the convergence of strategic...

About 89% of IT and business decision makers that Frost & Sullivan surveyed in late 2023 believe artificial intelligence and machine learning are crucial, very important, or important in achieving business goals revolving around increasing operational efficiency, supporting innovation, and improving customer experience. An equal percentage of respo...

Video telematics solutions are poised to become the norm amongst enterprise fleets in the initial phase, owing to reduced vehicle claims, efficient driver exoneration, and higher realized return on investment. Medium and heavy-duty commercial vehicles for long-haul vehicle operations are primarily poised to be early adopters of video telematics, gi...

Enterprise awareness and adoption of artificial intelligence (AI) have accelerated significantly worldwide. Advances in AI technologies, combined with increased accessibility, are enabling businesses to integrate AI seamlessly into their operations. Nearly 90% of IT and business decision-makers recognize AI and machine learning as critical to achie...

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...

The collaboration and communication device landscape is undergoing a structural shift, characterized by steady realignment driven by hybrid work standardization, AI maturity, regulatory pressure, and constrained IT investment cycles.Across global markets, enterprises are recalibrating to a stable hybrid work baseline, while demand for higher-qualit...

AI technologies and platforms are entering a new stage of maturity. Most organizations now have access to capable models and have run pilots across multiple functions. The real question is no longer whether AI works, but where it can create sustained growth and how it can be scaled without introducing cost volatility, operational risk, or governanc...