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Identification (ID) Barcode Readers In Factory Automation Market Size, Value And Growth Trajectory Through 2030
The identification (id) barcode readers in factory automation market size has shown robust growth recently. It is projected to increase from $2.74 billion in 2025 to $2.95 billion in 2026, at a compound annual growth rate (CAGR) of 7.4%. The expansion observed in the historic period can be attributed to the broader adoption of industrial automation, the growing utilization of barcode-based tracking systems, the rise of mass manufacturing operations, an increased focus on production accuracy, and the widespread availability of standardized identification technologies.
The identification (id) barcode readers in factory automation market size is projected to experience robust growth in the near future. This market is set to reach $3.79 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 6.5%. Factors contributing to this growth during the projected timeframe include heightened investments in smart manufacturing, an uptick in the adoption of AI-enabled inspection systems, the broadening of connected factory ecosystems, an escalating demand for real-time production insights, and enhanced integration of vision systems with robotics. Key developments anticipated within the forecast period encompass a greater deployment of machine vision barcode readers, increasing integration with automated production lines, wider adoption of high-speed 2D and QR scanners, the enlargement of smart factory identification systems, and a strengthened emphasis on traceability and quality control.
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Identification (ID) Barcode Readers In Factory Automation Market Development Factors: What’s Supporting Demand?
The rising adoption of image-recognition applications is projected to fuel the expansion of ID barcode readers within the factory-automation market. Image recognition is defined as the process of identifying and detecting specific objects or features present in digital images. With manufacturing sites undergoing rapid digital transformation, the incorporation of image-recognition technologies into ID barcode readers facilitates quicker product identification, enhanced traceability, decreased error rates, and increased automation efficiency across production and inventory operations. For example, data from December 2023, provided by the UK Government’s Department for Science, Innovation & Technology (DSIT), indicates that computer vision, encompassing image recognition, is utilized by 8% of UK businesses that have adopted AI. This represents a substantial increase compared to prior years and illustrates a wider industrial embrace of vision-based automation instruments. The report also noted that in 2023, 15% of UK businesses were employing at least one type of AI technology, with its uptake steadily expanding throughout the manufacturing and logistics industries. Consequently, the expanding deployment of image-recognition applications is fueling the integration of ID barcode readers within the factory-automation market.
Identification (ID) Barcode Readers In Factory Automation Market Segment Outlook: Which Categories Are Growing Fastest?
The identification (id) barcode readers in factory automation market covered in this report is segmented –
1) By Technology: 1D Barcode Recognition, 2D Barcode And QR Code Recognition, Machine Vision-Based Barcode Recognition, Pattern Recognition for Barcode Decoding, Optical Character Recognition (OCR) For Alphanumeric Codes
2) By Offering: Hardware, Software, Services
3) By Deployment: On-Premise, Cloud-Enabled
4) By Application: Product Identification And Traceability, Work-In-Progress (WIP) Tracking, Quality Inspection And Verification, Inventory And Warehouse Management, Packaging And Label Verification, Asset Tracking In Manufacturing Facilities
5) By End Use Industry: Automotive And Transportation, Electronics And Semiconductor Manufacturing, Food And Beverage Processing, Pharmaceutical And Medical Device Manufacturing, Industrial Machinery And Equipment, Logistics And Industrial Warehousing, Other End Use Industries
Subsegments:
1) By 1D Barcode Recognition: Laser-Based Linear Barcode Readers, CCD-Based Linear Barcode Readers, Fixed-Mount 1D Barcode Readers, Handheld Industrial 1D Barcode Scanners
2) By 2D Barcode and QR Code Recognition: Image-Based 2D Barcode Readers, QR Code Readers for High-Speed Identification, Data Matrix Code Readers, PDF417 Barcode Readers
3) By Machine Vision-Based Barcode Recognition: Smart Camera-Based Barcode Readers, Vision Sensors with Integrated Barcode Decoding, AI-Enabled Machine Vision Barcode Systems, High-Speed Vision Barcode Readers for Production Lines
4) By Pattern Recognition for Barcode Decoding: Pattern Matching Algorithms for Barcode Detection, Distorted and Damaged Barcode Recognition Systems, Low-Contrast and Poor-Print Barcode Decoding, Multi-Code Pattern Recognition Systems
5) By Optical Character Recognition (OCR) for Alphanumeric Codes: OCR for Human-Readable Interpretation (HRI) on Barcodes, Alphanumeric Code Reading on Labels and Packages, OCR for Lot, Batch, and Serial Number Identification, OCR Systems Integrated with Barcode Readers
Identification (ID) Barcode Readers In Factory Automation Market Transformation Trends: What Innovations Are Driving Change?
Leading companies in the identification (ID) barcode reader market within the factory automation sector are focusing on advancements in ID barcode technology applications, including compact industrial 1D code readers, to offer reliable, high-performance scanning and strengthen traceability in automated environments. These compact industrial 1D code readers are rugged barcode scanners specifically designed for manufacturing, packaging, and logistics settings, engineered to quickly and accurately capture linear barcodes even under challenging conditions. As an example, in January 2024, Datalogic S.p.A., an Italy-based industrial automation company, introduced the Blade Series, a new range of compact industrial 1D code readers developed to provide enhanced traceability capabilities for the packaging and intralogistics industries. The Blade Series features a solid-state 1920×128-pixel camera sensor, high-performance integrated lighting, and precise 1-dimensional decoding algorithms that ensure consistent barcode detection despite discoloration, damage, wear, or poor print quality. These capabilities help improve operational accuracy and maintain high throughput in automated production workflows.
Identification (ID) Barcode Readers In Factory Automation Market Leading Companies And Competitive Benchmarking
Major companies operating in the identification (id) barcode readers in factory automation market are Keyence Corporation, Cognex Corporation, Datalogic S.p.A, Zebra Technologies, Omron Corporation, SICK AG, Honeywell International Inc, Panasonic Corporation, Leuze electronic GmbH, Balluff GmbH, IFM Electronic GmbH, Pepperl+Fuchs SE, Banner Engineering Corp, Teledyne DALSA, Basler AG, Jadak LLC, Microscan Systems, OPTEX FA Co Ltd, Sato Holdings Corporation, Toshiba Corporation, Cino Group, Unitech Electronics Co Ltd
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Identification (ID) Barcode Readers In Factory Automation Market Regional Analysis And Top Geography
North America was the largest region in the identification (ID) barcode readers in the factory automation market in 2025. The regions covered in the identification (id) barcode readers in factory automation market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
