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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