Search results for: 'landscape of edutech solutions'

24 Jul 2024  |  Global  |  Technology Research

Radar R&D Portfolio Assessment and Opportunity Analysis

Millimeter-Wave Radar and Radar-on-Chip Solutions are Driving Market Growth

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Radar technology will experience rapid growth because of improvements in enabling technologies and growing demand in the automotive, defense, aerospace, consumer electronics, manufacturing, and energy industries. The technology has diverse applications and use is expanding with the adoption of IoT devices and penetration of 5G technology. The lo...

The rise in residential and commercial construction projects, along with the high growth from the tourism and hospitality industry, is creating demand for HVAC products in Sri Lanka. Sri Lanka allows total foreign ownership across several industries and imposes no restrictions on repatriation of earnings, fees, and capital. Supporting budgets and p...

20 Nov 2018  |  South Asia, Middle East & North Africa  |  Market Research

Indian Facility Management (FM) Services Market, Forecast to FY2023

Increasing Acceptance of Outsourcing Non-core Activities and Burgeoning Demand from Commercial and Industrial Clients will Contribute to the Growth of the FM Market in India

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Key Issues Addressed

The study aims to analyze and forecast the Indian facilities management (FM) market outlook for FY18-FY23. Professional FM services have now become a necessity for asset owners, as they not only help increase the life span of a building but also help owners meet international health and safety standards. Increased need to reduce operating costs of...

The semiconductor industry is approaching the physical and economic limits of traditional lithography, driving the emergence of next-generation patterning technologies essential for scaling beyond 3 nm and into the sub-2 nm era. This report explores the technological evolution, ecosystem enablers, and strategic implications of next-gen lithography,...

12 Mar 2025  |  Global  |  Technology Research

Emerging Semiconductor Technologies in the Manufacturing Industry

Innovative Materials and Chips Transforming Smart Manufacturing

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The semiconductor industry is pivotal to enabling next-generation technologies, such as quantum computing, AI, and machine learning (ML) accelerators, transforming manufacturing processes. Quantum chips are being explored for their potential to solve complex optimization problems, while AI and ML accelerators are enabling faster data processing and...

22 Jan 2025  |  Global  |  Technology Research

Medical Spectral Imaging: Assessment of Technology Trends and Growth Opportunities

Artificial intelligence, system miniaturization, and sensor innovation to drive transformational growth

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Medical spectral imaging is an advanced imaging technique that integrates spectroscopy with photography to capture the reflectance spectrum of tissues, facilitating a range of applications from tissue analysis to surgical guidance. This non-invasive approach provides real-time data and detailed insights, enhancing decision-making accuracy in diseas...

This study examines the technology landscape, commercialization progress, and future growth opportunities of wide-bandgap (WBG) semiconductor materials, with a primary focus on silicon carbide (SiC), gallium nitride (GaN), and gallium oxide (Ga₂O₃) for power and RF electronics. It evaluates how these materials enable higher efficiency, greater powe...

12 Jun 2020  |  South Asia, Middle East & North Africa  |  Market Outlook

India Facilities Management Industry Outlook, 2020

The Facilities Management Market in India is Going Through a Major Transformation, Driven by Technological Innovation, New Business Models, and New Service Offerings

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Key Issues Addressed

Professional FM services have now become a necessity for asset owners, as they not only help increase the lifespan of a building but also help owners meet international health and safety standards. The increased need to reduce operating costs of facilities and buildings of end-user segments and increasing demand for energy conservation and optimum ...

The escalating compute and power demands of edge AI are exposing the limits of conventional von Neumann architectures. Manufacturers deploying always-on sensing, real-time inference, and autonomous decision-making at the edge are constrained by the energy, latency, and memory-bandwidth ceilings of standard NPUs and MCUs. Traditionally, edge AI work...