Wireless Charging Market Global Industry Analysis Forecast - 2025

Wireless charging is a technology for transmitting power through a wireless medium (an air gap) to electrical devices in order to replenish their energy. In this technology, a power source transmits electromagnetic energy without interconnecting cords to an electrical load, across an air gap. Wireless charging technologies can be majorly classified into radiative RF based charging and non radiative coupling based charging. Radiative RF based charging can be further classified into directive RF power transfer and non-directive RF power transfer. Non radiative coupling based charging technology can be further classified into, capacitive coupling, inductive coupling and magnetic resonance coupling.

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Wireless charging has immense benefits as compared to traditional wired charging. For instance, much smaller electronic devices as compared to those existing today, can be designed and fabricated with the elimination of batteries. Such electrical-contact free devices can be more durable as they can be easily designed to be water proof and dust proof. The technology can provide incomparable flexibility, especially for devices for which replacing batteries or charging them is hazardous, costly or infeasible as in case of body-implanted sensors. Conventional wireless sensors have a limited battery life and hence they need to be replaced periodically which is a primary performance bottleneck for these sensors. Recent research in the field of energy transfer through wireless mediums has derived a technological breakthrough to eliminate such performance bottlenecks. In other words, it has enabled the sensor networks to remain operational for a longer period of time. Wireless charging technology has greatly reduced the inefficiency of wireless sensors as energy can be provided to these sensors through coupling coils placed at a distance. As compared to battery replacement, this approach is more robust and it also minimizes the requirement for accurate sensor positioning.

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Data Mining

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