Accelerating the
Industrial Internet of Things

ThingWorx (PTC)

One Platform - Limitless Possibilities

ThingWorx (PTC)
United States
1,001 - 10,000
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ThingWorx are developing technology platform to provide functionality for the Internet of Things. ThingWorx is the first IoT platform designed to build and run applications of the connected world, reducing the time, cost, and risk required to build innovative applications for smart, connected products.

They have five different IoT platforms focusing on different aspects:
- ThingWorx Foundation
- ThingWorx Utility
- ThingWorx Analytics
- Augmented Reality
- Industrial Connectivity
The Industrial Internet of Things leverages existing technologies in industrial settings – including machine-to-machine communication and automation technologies – and incorporates newer big data and machine learning technologies to enable smart, connected machines.

Smart, connected machines consistently and accurately capture, communicate, and interpret data. Reliable collection and reporting of data enables companies to detect and identify inefficiencies or problems in operations earlier. With improved insight, companies are better able to improve processes, increase productivity, and maintain a competitive edge.

Interoperability between devices and machines is the biggest challenge facing the Industrial IoT – but is the key to implementing and realizing the value of Industrial IoT deployments. Connectivity issues will only be solved with technology that can enable secure, reliable delivery of data across the public domain at a large scale.
DeviceLynk. Devicify, LumenData, Vantron, Sysmex, IOTATOI
The IoT ONE Radar indicates a vendor's relative focus on hardware, software and services.
Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management).
APIs are the market enabler for IoT. They allow users to manage devices, enable data transfer between software, and provide access capabilities.
Middleware integrates the diverse components of an IoT application by structuring communication, workflows, and business rules.
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
Security software provides encryption, access control, and identity protection to IoT solutions from data collection through end-user applications.
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