Search results for: 'Edge Computing and the Future of Data Management'

Many organizations are incorporating cloud computing and SaaS applications in their business operations since they allow organizations to achieve better operation efficiency and improve overall productivity. Furthermore, with the increasing reliance on cloud computing and SaaS applications, data can now be generated, collected, and processed at a m...

The global data centre industry is entering a new growth phase, driven by surging AI adoption, expanding cloud ecosystems, energy transition requirements, and the increasing digitisation of economies. The most significant growth opportunities are emerging at the intersection of computing capacity, energy infrastructure, cooling innovation, digital ...

In 1921, geophysical acquisition technology which involves the generation and acquisition of seismic data to image sub-surface geology revolutionized earth science and resource exploration. Seismic technologies have come a long way since then; they now have the ability to illuminate and image complex subsurface targets at lower acquisition costs. O...

The 2025 SASE market study examines the evolving landscape of Secure Access Service Edge (SASE), highlighting cloud-first strategies and hybrid work models as key drivers of adoption. The report analyzes the market’s transition from fragmented networking and security solutions to fully converged, AI-driven platforms that enhance security, connectiv...

Synthetic data is data generated artificially based on data collected from real-world occurrences. It is artificially generated data in the form of text, tables, images, and videos, among others. Synthetic data generation will address the challenge of inefficient datasets and privacy concerns. Generated using algorithms, it enables organization...

The edge AI accelerator market is scaling rapidly as industries demand low-latency, privacy-aware intelligence for autonomous vehicles, industrial automation, smart cameras, robotics, and other applications. Cloud-based inference faces more limits from bandwidth, latency, and data sovereignty concerns, creating a strong pull for on-device AI proces...

Research Overview This Frost & Sullivan study analyzes the convergence trends of information technology and operational technology (IT/OT), changing buying behavior, influence of disruptive technologies, competitive intensity and impact of economic and mega trends in the global plant asset management (PAM) market. In addition to PAM software market...

Utilities are entering a phase of selective, use-case-driven investment in meter data management (MDM), where funding is tied to measurable operational and commercial outcomes rather than platform modernization alone. The most consistent priorities in which utilities are willing to invest include interval and complex billing/settlement, outage data...

Drawing on recent internal strategic imperative analyses of the data centre sector, the industry is entering a period of unprecedented growth, driven by the convergence of AI, energy constraints, and digital infrastructure expansion. Key growth opportunities are emerging as operators transition from traditional facility-focused models toward AI-rea...