The Global Automatic Identification and Data Capture Market research study published by Emergen Research is an extensive collection of insightful information about the Automatic Identification and Data Capture industry. The report covers the Automatic Identification and Data Capture Market segmentation along with a detailed outline of the Automatic Identification and Data Capture market size with regards to volume and valuation. The report provides comprehensive coverage of the Automatic Identification and Data Capture market scenario for the current period and forecast timeline of 2020-2028.
The Dallas Area Rapid Transit (DART), which is the largest municipal transit agency in North Texas, was an early adopter of biometric technology. In its trains, DART has installed facial recognition technology-based cameras. Biometric systems are used in such cameras for a range of functions, and serve to monitor train capacity, medical emergencies, and lets authorities know whenever a specific individual is or individuals are on board.
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The report further sheds light on the emerging growth opportunities, challenges, market threats, limitations, and factors likely to restrict the growth of the Automatic Identification and Data Capture market.
The report focuses on mergers and acquisitions, joint ventures, collaborations, partnerships, corporate and government deals, and others. The report also talks about the expansions these prominent players are vying for in the key regions of the market. The report focuses on the detailed analysis of the technological and product developments undertaken by these companies.
The key companies studied in the report are:
Cognex Corporation, Zebra Technologies Corporation, Datalogic S.p.A., NXP Semiconductors N.V., Sick AG, Honeywell International Inc., Synaptics Inc., NEC Corporation, Seagull Scientific, Inc., and Godex International Co Ltd.
On the basis of regional analysis, the market is segmented into the following regions: North America, Latin America, Europe, Asia Pacific, and Middle East & Africa. The market is expected to be dominated by North American nations closely followed by European countries. Asia Pacific is expected to show a significant growth owing to recent advancements and rising investments in the R&D sector.
Emergen Research has segmented the global automatic identification and data capture (AIDC) on the basis of offering, product, technology, end-use, and region:
Offering Outlook (Revenue, USD Billion; 2018–2028)
- Hardware
- Software
- Services
Product Outlook (Revenue, USD Billion; 2018–2028)
- Printer & Recorder
- RFID Printers
- Smart Card Printers
- Label Printers
- Barcode Printers
- Magnetic Stripe Printers
- Scanners & Readers
- RFID Scanners
- Magnetic Stripe Readers
- Smart Card Readers
- Barcode Scanners
- Camera-based Scanners
- CCD Barcode Scanners
- Laser Barcode Scanners
- Smart Card Readers
- Optical Character Recognition (OCR)
- Biometric Scanners
- Finger Print Recognition
- Face Recognition
- IRIS Recognition
- Voice Recognition
- Others
Technology Outlook (Revenue, USD Billion; 2018–2028)
- Radio Frequency Identification (RFID)
- Optical Character Recognition (OCR)
- Biometrics
- Magnetic Strips
- Smart Cards
- Barcodes
End-Use Outlook (Revenue, USD Billion; 2018–2028)
- Manufacturing
- Transportation & Logistics
- BFSI
- Healthcare
- Hospitality
- E-commerce & Retail
- Government
- Others
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The report addresses the following key points:
- The report estimates the expected market size from 2020-2028
- The report provides a forecast of market drivers, restraints, and future opportunities for the Automatic Identification and Data Capture market
- The report further analyses the changing market dynamics
- Regional analysis and segmentation of the market with analysis of the regions and segments expected to dominate the market growth
- Extensive competitive landscape mapping with profiles of the key competitors
- In-depth analysis of business strategies and collaborations such as mergers and acquisitions adopted by the key companies
- Revenue forecast, country scope, application insights, and product insights
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