May 22, 2019

Global RFID in Pharmaceuticals Market 2019 Forecast to 2024

  Radio-frequency identification (RFID) uses electromagnetic fields to automatically identify and track tags attached to objects. The tags contain electronically stored information. Passive tags collect energy from a nearby RFID reader’s interrogating radio waves. Active tags have a local power source (such as a battery) and may operate hundreds of meters from the RFID reader. Unlike a barcode, the tag need not be within the line of sight of the reader, so it may be embedded in the tracked object. RFID is one method of automatic identification and data capture (AIDC). This report consists of comprehensive market data on a granular level including price, cost, sales, revenue, gross margin, market size, market share, etc. The global RFID in Pharmaceuticals market is valued at xx million USD in 2018 and is expected to reach xx million USD by the end of 2024, growing at a CAGR of xx% between 2019 and 2024. Major players are,

  • Honeywell
  • Zebra Technologies
  • Impinj
  • Invengo Technology
  • IBM
  • Smartrac
  • Aucxis
  • Turck Korea
  • Datalogic
  • Unitech
  • HID Global
  • CCL Label
  • Xerox Corporation
  • Fieg Electronics
  • JADAK
  • Texas Instrument
  • TSL
  • CSL
  • GAO RFID
  • Alien Technology
  • Cipher Lab
  • Sense Technology
  • Chafon Group
GAO RFID is considered as one of the major manufacturers in Radio frequency identification Pharmaceutical market. GAO RFID offers a wide range of RFID tags to meet the demands of every business environment. GAO RFID readers are designed to comply with global frequency standards thus making them compatible with most RFID Tags. GAO RFID now offers an ultra-high frequency semi-passive temperature logger tag, suited for recording temperatures of sensitive food products and chemical/pharmaceutical products during transportation and storage. Integrating our multitude of RFID tags into your medical environment will enable automated processes that end up saving your organization costs on labor and reducing the chance of human error.]]>

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