Automatic Identification and Data Capture Market to surpass USD 174.8 Bn by 2032

Automatic Identification and Data Capture Market size is projected to expand at 13.5% CAGR from 2023-2032 driven by the rollout of digital transformation initiatives across several industries.

Woth organizations embracing digital technologies to enhance operational efficiency, automatic identification and data capture (AIDC) solutions are playing a pivotal role in automating data capture processes. Barcode scanners, RFID systems, and biometrics help facilitate accurate and efficient identification, tracking, as well as management of assets, products, and information. Across the healthcare, logistics and retail sectors, the integration of AIDC technologies is helping match the broader digital transformation goals for streamlining workflows and ensuring real-time visibility.

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Furthermore, the ongoing introduction of advanced technologies to address the evolving market demands for efficient data capture will foster the industry growth. For instance, in May 2023, Newland AIDC introduced its first label printer, the NLS-LP410, as the newest addition to its extensive product portfolio, comprising mobile terminals, barcode scanners, OEM scan engines, and interactive kiosks.

The automatic identification and data capture industry is segmented into component, technology, end-user, and region.

Based on technology, the market share from the biometrics segment is anticipated to gain significant traction from 2023-2032 owing to growing application in the healthcare, finance, and retail verticals to ensure robust authentication and streamlined data capture. The rising demand for secure and efficient identification methods coupled with the continuous technological advancements are further fueling the segment growth.

Automatic identification and data capture industry from the BFSI end-user segment is projected to record substantial growth through 2032. Across the BFSI sector, AIDC technologies help to streamline processes, such as document verification, asset tracking, and transaction authentication to render improved customer service and compliance. The ongoing adoption of innovative solutions for data accuracy and security across the BFSI domain is also likely to boost the segment growth.

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Regionally, the Asia Pacific automatic identification and data capture market held sizable revenue share in 2022 and is anticipated to expand at a notable CAGR from 2023-2032. Several industries mainly across China, Japan, and India are rapidly digitizing their operations, further surging the demand for efficient data capture and management solutions.

The booming e-commerce sector coupled with the burgeoning retail and manufacturing activities in the region are contributing to the increasing uptake of AIDC solutions. Moreover, several industry participants are focused on providing innovative solutions for catering to the evolving consumer demands, augmenting the market outlook. For instance, in January 2022, Taiwan-based CipherLab introduced 2564ER, an Extended-Range edition in its 2500 Series of cordless handheld scanners to provide flexibility for the warehouse and manufacturing facility staff.

Partial chapters of report table of contents (TOC):

Chapter 2   Executive Summary

2.1    Automatic identification and data capture market 360º synopsis, 2018 - 2032

2.2    Business trends

2.2.1    Total Addressable Market (TAM), 2023-2032

2.3    Regional trends

2.4    Component trends

2.5    Technology trends

2.6    End-user trends

Chapter 3   Automatic Identification and Data Capture Industry Insights

3.1    Impact on COVID-19

3.2    Industry ecosystem analysis

3.3    Vendor matrix

3.4    Profit margin analysis

3.5    Technology innovation landscape

3.6    Patent analysis

3.7    Key news and initiatives

3.8    Regulatory landscape

3.9    Impact forces

3.9.1    Growth drivers

3.9.1.1   Rising demand for automatic identification and data capture in healthcare industry

3.9.1.2   Growing demand for supply chain optimization

3.9.1.3   Rise in inclination towards real-time monitoring

3.9.1.4   Increasing need for streamlining retail & e-commerce operations

3.9.2    Industry pitfalls & challenges

3.9.2.1   Significant upfront costs for implementing AIDC systems

3.9.2.2   Complexities in AIDC integration

3.10    Growth potential analysis

3.11    Porter’s analysis

3.12    PESTEL analysis

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