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Hardware | |
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| | Sensors transform energy into electrical data; they are the eyes and ears of IoT. Actuators transform electrical data into energy; they are the muscle of IoT. |
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| | Technologies that enable legacy devices and other systems to connect to the IoT. They integrate technologies and protocols for networking. |
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| | Products used by end users that contain IoT technologies. Examples include enabled equipment, wearables, hand-held scanners, and tracking devices. |
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Software | |
| | Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management). |
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| | Middleware integrates the diverse components of an IoT application by structuring communication, workflows, and business rules. |
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| | IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive. |
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| | Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users. |
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| | Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use. |
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Services | |
| | System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems. |
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| | IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues. |
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| | IoT software consultancies support the development of data analytics, visualization solutions, and platforms, as well as integration into embedded systems. |
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| | Connectivity as a service as provided by telecommunications companies, i.e. data transfer, radio waves. |
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