Search results for: 'application enablement platform iot'

21 Jan 2021  |  South Asia, Middle East & North Africa  |  Market Research

Connected LED to Drive the Next Wave of Growth for the Lighting Market in India

Future Growth Potential Enhanced by Growth Opportunities in Smart City Projects

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Connected lighting refers to luminaries that are seamlessly integrated into the network of a building/space/city such that they can be monitored and provide valuable information regarding their usage. The luminaires are either programmed to operate in a particular pattern or fitted with sensors to capture information. Connected lighting systems pro...

With more customers preferring to stay home following the COVID-19 pandemic, they want to make their living spaces multifunctional and efficient. Homes will serve multiple purposes: work, entertainment, relaxation, shared living, and health and wellness. Home ecosystems and service-based models that assist people with everyday tasks will cause a so...

Enterprises are moving from fragmented team tools to enterprise systems of execution. What began as task management and collaboration is evolving into execution intelligence: platforms that unify work, automation, and cross‑functional orchestration while meeting rising expectations for governance, security, and measurable outcomes. Buyers no longer...

18 Jul 2022  |  Global  |  Market Research

Global Multi-Access Edge Computing Growth Opportunities

Increasing Deployment of Public MEC and 5G Networks Across Industries Drives Future Growth Potential

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Edge computing is computing that pushes intelligence, data processing, analytics, and communication capabilities to where the data originates: at network gateways or endpoints. The aim is to reduce latency and ensure highly efficient networks, operations, service delivery, and an improved user experience. By bringing computing closer to the data ...

11 Apr 2019  |  North America  |  Market Outlook

2019 Global Commercial UAS Market Outlook

A Growing Market that has Huge Potential if Regulators and Industry Can Team Up to Create Global Technical and Operational Standards that Ensure a Safe Low-altitude Air Traffic Environment

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The market for commercial unmanned aerial systems (UAS), or commercial drones, continues to evolve. While several factors, including the relatively slow progress global regulatory agencies have achieved integrating small drones into national airspaces, are hindering the market’s growth. Advances in technology and software are enabling drones to be...

28 Dec 2015  |  North America  |  Market Research

Analysis of the Global Commercial UAS Market

Overhyped Market to See Significant Growth Despite Regulatory and Technology Hurdles

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Globally, the commercial unmanned aircraft systems (UAS) ecosystem is growing rapidly, and a euphoric attitude that UAS utilization can make almost any aerial data collection faster, cheaper, and more efficient pervades the industry. This study takes a realistic approach to forecasting the global commercial UAS industry, accounting for current regu...

Moving an enterprise from physical connectivity and security infrastructure to a cloud-first Zero Trust Architecture (ZTA) is an urgent mandate. But even for the most agile of organizations, that transformation can be a leap. That’s especially true for organizations reliant on flat-network dependent systems. For IT leaders, the roadmap to an ideali...

The global facility management (FM) market is undergoing significant transformation influenced by megatrends as well as socioeconomic, environmental, and technological factors. Artificial intelligence (AI), the Internet of Things (IoT), and smart technologies are some of the innovations redefining FM services by enabling predictive maintenance, ene...

The 2025 edition of privacy-enhancing technologies (PETs) explores cutting-edge innovations that redefine secure data collaboration and regulatory compliance across industries. PETs enable organizations to analyze, process, and share sensitive data without compromising privacy—using advanced methods such as differential privacy, federated learning,...