Search results for: 'sens real'

This report takes a look at the impact of: high-resolution satellite remote sensing, emerging commercial data users, the computing power of the PC and the more widespread use of GIS imagery and attribute data. The report breaks revenues into satellite data, aerial data and GIS software, with an eye on how the individual markets are tied to one ano...

The growing multipolar world, types of threats and distances from which such threats can emanate, contested waters, and maritime zones of control of various nations necessitate greater and constant vigilance of oceans through maritime surveillance. Maritime surveillance is conducted using terrestrial radars, automatic identification systems (AIS...

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...

This market insight is part of Frost & Sullivan's Real-time Cities Research Program. In recent years, it has become evident that cities see an opportunity to stimulate economic growth by opening up their substantial sources of data to digital services innovators. To become true real-time cities, they strive to do more than simply publish existing i...

This study provides an overview of the smart seat industry, focusing on emerging thermal and sensing technologies. It analyzes how connectivity, automation, shared, and electric (CASE) features will shape the development of vehicle seats. The study has a global scope, with key regions, specifically the United States, Canada, Mexico, Europe, China, ...

Over the last 3-5 years, growing cost pressure on healthcare and pharmaceutical companies and a significant shift towards outcome based healthcare approach have resulted in companies increasingly adopting real world data and evidence solutions to optimize their operation and cost using analytics. Earlier, applications of RWE were largely limited to...

The Sensor Technology Opportunity Engine provides profiles of innovations related to software-defined vision sensor technology integrating pixel-level computing for low-power, real-time edge perception; flexible direct-conversion X-ray detector technology enabling conformal digital radiography for medical imaging and applications requiring adaptabl...

The era of robotics is becoming a disruptive force in the food and beverage (F&B) industry, most notably in production, services, and delivery. By leveraging advanced AI, sensing technologies, and adaptive automation, robotic technologies are delivering groundbreaking advancements in operational precision, performance, and reliability. This transfo...

The field of predictive analytics is one of the most complex and challenging subsets of the Big Data and advanced analytic market. There is also a very wide gap between the practitioners of predictive analyticsmost of whom are statisticians, scientific researchers and data scientistsand the people who most want to use predictive analytics for com...