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2021
Automatic Identification And Data Capture Market

Automatic Identification and Data Capture Market

by Offering (Hardware, Solutions and Services), Product (Scanner & Reader, Biometric Scanners, Printer & Recorder, and Others), Technology (Biometrics, Radio Frequency Identification (RFID), Smart Cards, Optical Character Recognition (OCR), and Others), and Industry Vertical (BFSI, Manufacturing, Retail, Transportation & Logistics, Hospitality, Healthcare, Government, and Others): Global Opportunity Analysis and Industry Forecast, 2021-2030
Update Available On-Demand

Report Code: A13147
Pages: 300
Aug 2021 | 1933 Views
Author(s) : Pramod B, Himanshu J , Vineet K
Tables: 70
Charts: 42
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Automatic Identification and Data Capture Market Statistics: 2030

The global automatic identification and data capture market size was valued at $37,189 million in 2020, and is projected to reach $121,072 million by 2030, registering a CAGR of 12.5% from 2021 to 2030. 

In the wake of COVID-19 pandemic situation, rise in demand for e-commerce platform, increasing digitization, and increasing awareness among end users regarding the utilization of advanced AIDC systems for data security are anticipated to boost the growth of automatic identification and data capture market.

Automatic identification and data capture (AIDC) or automatic data capture system is an enhanced method used to automatically identify assets and objects, collect information, and record data directly into computer systems. Further, AIDC systems are intended to manage assets, objects, delivery, inventories, and documents across the transportation, manufacturing, distribution, retail, government, and healthcare sector. In addition, automatics identification technologies such as radio frequency identification (RFID), optical character recognition (OCR), bar codes, biometrics, voice recognition, and QR codes are considered as a part of automatic identification and data capture (AIDC). 

Automatic-Identification-and-Data-Capture-Market-2021-2030

AIDC is a process designed to obtain external data such as voice, images, and videos.  AIDC employs a transducer to convert and record actual data into a digital file. Moreover, AIDC applications are further fall into one of a few categories such as tracking validation, interfaces, and identification. In addition, the global automatic identification and data capture market is witnessing a surge, owing to the rise in use of the e-commerce industry paired with an increase in demand for smartphones, which is expected to fuel the automatic identification and data capture market growth in the coming years. 

The automatic identification and data capture market share is expected to witness notable growth during the forecast period, owing to rise in the utilization of smartphones for image recognition and QR code scanning paired with a rise in the growth of e-commerce platforms globally. In addition, the rising adoption of AIDC solutions owing to their ability to minimize human error is expected to drive the growth of the automatic identification and data capture market during the forecast period.

Automatic Identification and Data Capture Market
By Offering

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Hardware segment accounted for the highest market share in 2020

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However, high cost associated with installation of automatic identification and data capture system paired with the rise in concerns about malware attacks and security breaches hampers the market growth. In addition, surge in government regulations for the adoption of AIDC solutions forecasts provides a lucrative opportunity for the growth of the automatic identification and data capture market during the forecast period.

The emergence of COVID-19 declined the growth rate of the automatic identification and data capture market in 2020. Further, the market during COVID-19 was primarily hit by several obstacles, including the availability of resources and skilled workforce that acted as a restraining factor for manufacturing and logistics sectors. However, rise in demand for e-commerce paired with the surge in demand for digital infrastructure across the government and retail sector fueled the market growth during COVID-19 and is expected to offer lucrative growth opportunities for the market growth.

Automatic Identification and Data Capture Market
By Technology

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Smart Cards segment is projected as one of the most lucrative segments.

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The automatic identification and data capture market is segmented into offering, product, technology, industry vertical, and region. By offering, the market is segregated into hardware, solutions, and services. Based on product, it is segmented into scanner & reader, biometric scanners, printer & recorder, and others. The scanner & reader segment is further segmented into barcode scanners, RFID scanner, smart card reader, magnetic stripe reader, and optical character recognition (OCR). Depending on technology, it is segmented into biometrics, radio frequency identification (RFID), smart cards, optical character recognition (OCR), and others. Based on industry vertical, the market is segmented into BFSI, manufacturing, retail, transportation & logistics, hospitality, healthcare, government, and others. Region wise, the market is analysed across North America, Europe, Asia-Pacific, and LAMEA. 

Automatic Identification and Data Capture Market
By Region

2030
Asia-pacific 
North America
Europe
Lamea

Asia-Pacific would exhibit the highest CAGR of 14.2% during 2021-2030

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The report analyses top automatic identification and data capture companies operating in the market such as Cognex Corporation, Datalogic S.p.A., Honeywell, NXP Semiconductors N.V., Panasonic Corporation, SICK AG, Synaptics Incorporated, Thales, Toshiba, and Zebra Technologies. These players have adopted various strategies to increase their market penetration and strengthen their position in the automatic identification and data capture industry.  

Top Impacting Factors

Significant factors that impact growth of the global automatic identification and data capture market include surge in growth of e-commerce platform coupled with rise in utilization of smartphones for image recognition and QR code scanning. However, high cost associated with the installation of AIDC systems paired with rise in concerns related to malware attacks and security breaches is acting as a major barrier for early adoption, which hampers the growth of the market. On the contrary, rise in adoption of AIDC solutions due to their ability to minimize human errors and rise in government regulations for the adoption of AIDC is anticipated to provide remunerative opportunities for expansion of the automatic identification and data capture industry during the forecast period.

Key Benefits For Stakeholders

  • This study comprises analytical depiction of the automatic identification and data capture market size along with the current trends and future estimations to depict the imminent investment pockets.
  • The overall automatic identification and data capture market analysis is determined to understand the profitable trends to gain a stronger foothold.
  • The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
  • The current automatic identification and data capture market forecast is quantitatively analyzed from 2021 to 2030 to benchmark the financial competency.
  • Porter’s five forces analysis illustrates the potency of the buyers and suppliers in the smart display.
  • The report includes the market share of key vendors and automatic identification and data capture market trends.

Key Market Segments

By Offering

  • Hardware
  • Solutions
  • Services

By Product

  • Scanner & Reader
    • Barcode Scanners
    • RFID Scanner
    • Smart Card Reader
    • Magnetic Stripe Reader
    • Optical Character Recognition (OCR)
  • Biometric Scanners
  • Printer & Recorder
  • Others

By Technology

  • Biometrics
  • Radio Frequency Identification (RFID)
  • Smart Cards
  • Optical Character Recognition (OCR)
  • Others

By Industry Vertical

  • BFSI
  • Manufacturing
  • Retail
  • Transportation & Logistics
  • Hospitality
  • Healthcare
  • Government
  • Others

By Region

  • North America
    • U.S.
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Rest of Europe 
  • Asia-Pacific 
    • China
    • India
    • Japan
    • Singapore
    • Australia
    • Rest of Asia-Pacific   
  • LAMEA
    • Latin America 
    • Middle East
    • Africa 

Key Players

  • Cognex Corporation
  • Datalogic S.p.A. 
  • Honeywell
  • NXP Semiconductors N.V. 
  • Panasonic Corporation
  • SICK AG
  • Synaptics Incorporated
  • Thales
  • Toshiba
  • Zebra Technologies
 

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Automatic identification and data capturing are the most promising technology used to identify objects and assets, collect the related information, stores, and enters the data directly into computer systems.  The automatic identification and data capturing systems are intended to operate without human interference; however, if human interference is required, the user can scan AIDC equipped items such as barcodes and QR codes, to enter data electronically into computer systems. However, the high risk of malware associated with AIDC-powered solutions is restraining the automatic identification and data capturing growth. In addition, rise in demand for next-generation identification data storage solutions across prime e-commerce platforms globally is expected to offer profitable opportunities for the automatic identification and data capture market.

The global automatic identification and data capture market is highly competitive, owing to strong presence of existing vendors. Automatic identification and data capture vendors, who have access to extensive technical and financial resources, are anticipated to gain a competitive edge over their rivals, as they have the capacity to cater to the market requirements. The competitive environment in this market is expected to further intensify with increase in technological innovations, product extensions, and different strategies adopted by key vendors.

Rise in growth of demand for e-commerce platform globally is driving the need for next generation to enhance automatic identification and data capture solutions such as biometrics, voice user interface, and RFID. Moreover, prime economics, such as Germany and Japan, plan to develop and deploy next-generation automatic identification and data capture solutions across various sectors. For instance, , the Japanese authorities deployed the biometric solution across venues in Tokyo Olympic Games, for keeping authorities and fans safe from the COVID-19, which is anticipated to provide lucrative opportunities for market growth.

Among the analyzed regions, North America exhibits the highest adoption of automatic identification and data capture and has been experiencing massive expansion of the market. On the other hand, Asia-Pacific is expected to grow at a faster pace, predicting lucrative growth due to emerging countries such as China, Japan, and India, investing in these technologies. Regions such as the Middle East and Africa, are also expected to offer new opportunities in the automatic identification and data capture market in the future

Various key players are investing in automatic identification and data capture globally to make them compatible with various industrial platforms. For instance, in 2018, the RetailerCelio, deployed RFID technology across their 750 stores to provide fast and accurate e-commerce service. In addition, in March 2021, Russia-based X5 Retail Group launched its face-based naked payments scheme. The company first introduced the technology at coffee shops in Moscow in 2020 and then followed that up with a trial at 52 Perekrestok supermarkets. All these developments across automatic identification and data capture showcase lucrative growth opportunities for the market growth. 

The key players profiled in the report include Cognex Corporation, Datalogic S.p.A., Honeywell, NXP Semiconductors N.V., Panasonic Corporation, SICK AG, Synaptics Incorporated, Thales, Toshiba, and Zebra Technologies are provided in this report.

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