Internet of Things is a drive force for digital transformation in many companies across various sectors. Nowadays the market is changing dynamically and there is an opportunity for data to help to meet the customers’ expectations. IoT is a tool to gather all information from various touchpoints, collect them in one system and use it to improve business processes. No matter that the world spending on IoT is estimated to reach $1,1 trillion by 2023.
There are no limits for the applications of IoT. The most obvious use cases are predictive maintenance, smart products, logistics, and agriculture, but IoT-enabled sensors are used in automotive, healthcare, security, and many more as well.
The Healthcare industry can benefit from IoT for remote patient monitoring, remote medical assistance, tracking medical equipment, and of course research.
Smart shelves, delivery, and warehouses automation are just a few examples of using IoT in the retail industry. Sensors data can bring huge value to manufacturing for predictive manufacturing, remote sensing, or production automation.
One of gaining popularity use case are smart city initiatives. Technology spending in this case are forecasted to double in 5 years, reaching $189,5 billion in 2023. Smart cities use sensors data to automate services and reduce costs and environmental impacts an have a better performance at the same time. IoT can be used for traffic lights management, environmental monitoring or waste management, as well as city transportation and parking.
Do you know that more than 94% of large companies around the world implement IoT solutions? Are you one of them?
Internet of Things (IoT) is now becoming mainstream, so buckle up and let us explore what the limitless potential future of IoT technologies looks like.
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Everybody’s talking about deploying IoT devices. But finding the right fit for your problem can be a daunting task. At DAC we go beyond “off-the-shelf” deployments. We know how to build the right devices for the right job, how to program efficient firmware, and finally how to process the high-velocity data stream to find the answer you’re looking for.