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Real-Time Location System for Healthcare Technology, Future Trends, Opportunities 2030 & Key Players Aruba Networks, IMPINJ, TeleTracking Technologies, CenTrak

The global real-time location systems for healthcare market is estimated to account for over US$ 1.35 billion in 2019. It is anticipated to grow at a healthy CAGR of 17.5% from 2019 to 2030.


New York, NY -- (SBWIRE) -- 03/31/2020 -- Real-time location systems are parts of IoT devices used in healthcare facilities that help in capturing real-time information from remote locations. There have been various wall-penetrating technologies such as Wi-Fi, Bluetooth Low Energy and various others that are used in IoT solutions. These help in sending & receiving signals across walls; for instance, Wi-Fi sensors can communicate with monitor unit that is located a few feet away and tracks temperature.

Top Players:

Some of the prominent players in the real-time location systems for healthcare market include STANLEY Healthcare, Zebra Technologies Corporation, Aruba Networks, IMPINJ, TeleTracking Technologies, CenTrak, AiRISTA Flow, Sonitor Technologies, Versus Technology, and Identec Group, among others.

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The global real-time location systems for healthcare market is driven primarily by factors such as rising demand for real-time location systems and security concerns in healthcare facilities. Moreover, use of IoT in healthcare facilities help in better utilization of resources.

Segmentation Based On:

Inventory & Asset Tracking and Management
Staff Locating & Monitoring
Access Control
Supply Chain Management

Hospitals and Healthcare Facilities
Senior Living Facilities

The Research Provides Answers To The Following Key Questions:

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- To understand the future outlook and prospects for Real-Time Location System For Healthcare Market analysis and forecast 2019 - 2030.

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Table of Contents

Market Definition
Market Classification
Geographic Scope
Years Considered for the Study: Historical Years – 2016 & 2017; Base Year – 2018; Forecasted Years – 2019 to 2030
Currency Used

Research Framework
Data Collection Technique
Data Sources
Secondary Sources
Primary Sources
Market Estimation Methodology
Bottom Up Approach
Top Down Approach
Data Validation and Triangulation
Market Forecasting Model
Limitations/Assumptions of the Study



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