#Automatic Identification And Data Capture Market

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Automatic Identification and Data Capture Market Research Report: Global Trends and Forecast 2032

The Automatic Identification and Data Capture Market was valued at USD 60.0 billion in 2023 and is expected to reach USD 175.4 Billion by 2032, growing at a CAGR of 12.68% over 2024-2032.

The Automatic Identification and Data Capture (AIDC) Market is witnessing rapid growth, driven by the increasing need for automation, accuracy, and efficiency across industries. AIDC technologies, including barcode scanners, RFID, biometrics, and OCR, are transforming data management processes. Businesses are adopting AIDC solutions to enhance security, streamline operations, and reduce human errors.

The Automatic Identification and Data Capture Market continues to expand with the integration of artificial intelligence (AI), cloud computing, and the Internet of Things (IoT). As industries such as retail, healthcare, logistics, and manufacturing seek real-time data access, AIDC solutions are becoming essential. The rising demand for contactless transactions and digital identity verification further accelerates market adoption.

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Market Keyplayers:

Zebra Technologies – ZT600 Series Industrial Printers

Honeywell International Inc. – Honeywell Xenon 1900g Barcode Scanner

Datalogic S.p.A. – Gryphon 4500 2D Barcode Reader

Sato Holdings Corporation – CL4NX Plus Industrial Thermal Printer

Intermec (now part of Honeywell) – Intermec CN51 Mobile Computer

Keyence Corporation – SR-2000 3D Laser Scanner

Toshiba Tec Corporation – B-EX6T1 Industrial Printer

Seiko Epson Corporation – TM-T88V POS Printer

Avery Dennison Corporation – AD-830 UHF RFID Reader

NCR Corporation – NCR RealPOS Barcode Scanner

Cognex Corporation – In-Sight 7000 Vision Systems

Omron Corporation – V680-TR Vision Sensor

SICK AG – RFID System SICK RLA

Mettler Toledo – Advanced Weighing and AIDC Systems

SMARTRAC Technology – Smart Cosmos RFID Solution

Panasonic Corporation – TOUGHBOOK 33 Mobile Computer

TSC Auto ID Technology Co., Ltd. – TTP-2410MT Thermal Transfer Printer

PDC Healthcare – On-Demand Labeling Solutions for Patient Identification

Printrak International – Digital Fingerprint Solutions

Impinj Inc. – Impinj Speedway Revolution RFID Reader

Market Trends Driving Growth

Integration of AI and IoT – Smart AIDC systems are leveraging AI and IoT for real-time data tracking and automation.

Growing Adoption in E-commerce and Retail – Contactless payments, inventory tracking, and self-checkout solutions are fueling demand.

Expansion of RFID Technology – RFID is gaining traction in logistics, healthcare, and asset tracking due to its efficiency.

Rise in Biometric Identification – Increasing security concerns are driving the adoption of biometric-based authentication in banking and government sectors.

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Market Segmentation:

By Component

Hardware

RFID Reader

Barcode Scanner

Smart Cards

Optical Character Recognition Device

Integration & Installation Services

By End - Use

Manufacturing

Retail

Transportation & Logistics

Hospitality

BFSI

Healthcare

Government

Energy & power

Market Analysis and Current Landscape

Key growth factors include:

Retail and E-commerce Boom: The surge in online shopping is increasing the demand for automated checkout, warehouse management, and fraud prevention.

Healthcare Innovations: AIDC plays a vital role in patient identification, medical asset tracking, and drug verification.

Industrial Automation: Manufacturing and logistics sectors are implementing AIDC solutions for efficient supply chain management.

Government Regulations: Compliance with data security and identity verification laws is pushing the adoption of AIDC technologies.

Future Prospects: What Lies Ahead?

AI-Powered AIDC Solutions – Future innovations will integrate AI for predictive analytics and automation in data capture.

Blockchain for Secure Data Management – Blockchain technology will enhance the security and transparency of AIDC data.

5G-Powered Real-Time Data Processing – Faster connectivity will enable seamless AIDC operations across industries.

Wider Adoption in Smart Cities – AIDC will be instrumental in traffic management, surveillance, and urban planning.

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Conclusion

The Automatic Identification and Data Capture Market is evolving rapidly, offering businesses advanced solutions for efficiency, security, and automation. With AI, IoT, and blockchain driving future innovations, AIDC adoption will continue to expand across industries. As companies strive for digital transformation, AIDC technologies will play a crucial role in shaping the future of data management and identification.

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[industrynewsupdates]

Automatic Identification And Data Capture Market Key Players, Revenue And Growth Rate

The global automatic identification and data capture market size is expected to reach USD 136.86 billion by 2030, according to a new report by Grand View Research, Inc. The market is expected to grow at a CAGR of 11.7% from 2025 to 2030. With an increase in the use of smartphones for image recognition and QR code scanning along with an increase in the development of e-commerce platforms internationally, the market is anticipated to experience a noticeable growth during the forecast period.

Furthermore, increased automatic identification and data capture (AIDC) solution acceptance due to their capacity to reduce discrepancies is likely to drive the growth of the AIDC industry during the forecast period. For instance, in April 2022, Arcion Labs, Inc., a truly real-time database replication platform, announced the release of Arcion Cloud, a fully managed change data capture data replication as a service that empowers businesses to leverage more significant, big data pipelines in minutes.

The most prevalent devices used to identify and capture the data are RFID scanners and RFID tags, barcode scanners, fixed-position, and handheld laser scanners and imagers, wearables devices, voice recognition solutions, and rugged tablets. Automatic identification and data capture systems, such as wearables, barcoding solutions, and RFID scanners, are critical in e-commerce and warehouse management.

AIDC technology not only assists the e-commerce business in automatically identifying objects, collecting data about them with high accuracy and precision, and electronically entering this data into the computer system. By keeping track of inventories, accounting, human resources, and overall procedures, technology also helps increase productivity and operational efficiency.

Gather more insights about the market drivers, restrains and growth of the Automatic Identification And Data Capture Market

Automatic Identification And Data Capture Market Report Highlights

• North America dominated the market and accounted for the largest revenue share of 38.5% in 2024. This high share can be attributed to the increasing awareness and high adoption of AIDC devices and increased government legislative and investment, particularly in retail, healthcare, and manufacturing industries.

• AIDC systems are routinely used to manage assets, inventory, delivery, document scanning, and security in various industries, including transport and logistics, chemical, pharmaceutical, food and beverage, automotive, consumer products, retail and warehousing, and distribution

• Radio Frequency Identification (RFID) tags, barcodes, biometrics, labels, smart cards, and speech and voice recognition have gained acceptance across various industries due to their increased accuracy, precision, and smooth functioning

• Banks and financial institutions' increasing implementation of AIDC solutions to ensure customer security, safety, and data privacy is projected to fuel market expansion

Automatic Identification And Data Capture Market Segmentation

Grand View Research has segmented the global automatic identification and data capture market on the basis of component, end-use, and region:

Automatic Identification And Data Capture Component Outlook (Revenue, USD Billion, 2017 - 2030)

• Hardware

o RFID Reader

o Barcode Scanner

o Smart Cards

o Optical Character Recognition Devices

o Biometric Systems

o Others

• Software

• Services

o Integration & Installation Services

o Support & Maintenance Services

Automatic Identification And Data Capture End-user Outlook (Revenue, USD Billion, 2017 - 2030)

• Manufacturing

• Retail

• Transportation & Logistics

• Hospitality

• BFSI

• Healthcare

• Government

• Energy & power

• Others

Automatic Identification And Data Capture Regional Outlook (Revenue, USD Billion, 2017 - 2030)

• North America

o U.S.

o Canada

• Europe

o UK

o Germany

o France

• Asia Pacific

o China

o Japan

o India

o Australia

o South Korea

• Latin America

o Brazil

o Mexico

• Middle East and Africa

o Saudi Arabia

o South Africa

o UAE

Order a free sample PDF of the Automatic Identification And Data Capture Market Intelligence Study, published by Grand View Research.

[robertemma27-blog]

Automatic Identification and Data Capture Market Trends & Growth Drivers 2025

The automatic identification and data capture market size is expected to grow from USD 40.1 billion in 2020 to USD 80.3 billion by 2025; it is expected to grow at a CAGR of 14.9% during 2020–2025.

Key factors fueling the growth of this market include growing e-commerce industry globally; increasing use of smartphones for QR code scanning and image recognition; rising adoption of AIDC solutions due to their ability to minimize queuing and transaction time and provide greater convenience to users in making small-value payments; and surging adoption of AIDC solutions by banking and financial institutions to ensure customer safety and security, along with data privacy. An increasing number of patients and deaths due to COVID-19 will force all the countries to increase their healthcare expenditure, which is expected to have a positive impact on the growth of the market for AIDC products.

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Hardware component held the largest market share of AIDC market in 2019 The hardware component is expected to account for the largest share of the AIDC market by 2025. The high requirement for hardware components in several automatic identification and data capture products such as barcoding solutions, magnetic stripe cards, smart cards, optical character recognition (OCR) systems, RFID tags, printers and readers, tablets, wearables, VR devices, heads-up display devices, Google Glass, and biometric systems, has contributed to the largest size of the hardware segment.

Manufacturing vertical held share of AIDC market in 2019 The manufacturing vertical is expected to continue to account for the largest size of the AIDC market. The leading position of the manufacturing vertical, in terms of market size, can be attributed to enhanced production efficiency and reduced operational costs achieved with the utilization of AIDC products, thereby enabling the manufacturing vertical to effectively manage the increasing number of goods flowing through the supply chain process. Hence, the manufacturing vertical is likely to witness a high demand for AIDCs during the forecast period.

APAC is expected to hold a significant share of AIDC market by 2025  APAC accounted for the largest share of the AIDC market by 2025. The AIDC market in APAC is expected to grow at the highest CAGR during the forecast period. Many retail and logistics companies are expanding their presence in the region to capitalize on the increased purchasing power of the middle-class people, which has led to the growth of the automatic identification and data capture market in the region. Moreover, the significant presence of several market players, such as Panasonic (Japan), SATO (Japan), Toshiba (Japan), Godex (Taiwan), and Optoelectronics (Japan), in the region is likely to propel the growth of the automatic identification and data capture market in APAC.

Key market players Honeywell (US), Datalogic S.p.A. (Italy), Zebra Technologies (US), SICK AG (Germany), Cognex Corporation (US), Toshiba (Japan), Panasonic Corporation (Japan), Thales (France), and NXP Semiconductors N.V. (Netherlands) are a few major companies in the AIDC market. Organic growth strategies, such as product launches and developments, is a focus of many of the companies mentioned above.

[aidc-india]

AIDC India – Leading the Future of Identification & Data Capture | 2025

In today’s fast-paced world, the ability to accurately identify, track, and capture data has become more crucial than ever. As businesses and organizations move toward greater automation and digitalization, the role of Automatic Identification and Data Capture (AIDC) technologies continues to grow. At the forefront of this transformation is AIDC India, a leading industry body dedicated to advancing identification and data capture solutions across India. In 2025, AIDC India continues to lead the way, shaping the future of AIDC technologies and helping industries harness the full potential of these innovations.

What is AIDC and Why It Matters?

AIDC refers to the technologies used to automatically capture data and identify objects, people, or locations without human intervention. These technologies include barcode, RFID, QR codes, facial recognition, biometric systems, and more. AIDC solutions are pivotal in improving operational efficiency, reducing human error, and enabling real-time data collection.

From retail and logistics to healthcare and manufacturing, AIDC technologies have found widespread application. They help organizations track inventory, enhance security, optimize workflows, and provide insights that drive decision-making.

The Vision of AIDC India

Since its inception, AIDC India has been committed to the advancement of identification technologies in the Indian market. As the demand for AIDC solutions increases, the association continues to foster innovation, drive industry standards, and promote best practices. AIDC India aims to create a cohesive ecosystem where technology providers, system integrators, and end-users can collaborate to shape the future of the industry.

AIDC India also plays a key role in educating organizations and government bodies about the benefits and potential applications of AIDC solutions. By facilitating knowledge exchange, conducting research, and organizing industry events, AIDC India is helping to establish India as a leader in the global AIDC landscape.

How AIDC India is Shaping the Future of AIDC Technologies

Promoting Standardization and Interoperability

One of the primary challenges in the AIDC industry is ensuring that various systems and devices can work together seamlessly. This is especially important as businesses deploy a range of technologies, from barcode scanners to RFID tags and biometric systems. AIDC India is working diligently to establish standardized protocols and ensure interoperability across different AIDC systems. By promoting industry standards, AIDC India helps organizations adopt technologies that work together smoothly, reducing implementation complexity and ensuring scalability.

Advocating for Innovation and Research

AIDC India also serves as a platform for innovation. By facilitating collaboration between research institutions, technology providers, and end-users, the association drives new advancements in AIDC technologies. From improving the accuracy of RFID tracking to developing cutting-edge biometric systems, AIDC India is at the forefront of research and development in the sector.

The association supports pilot projects, prototypes, and field tests that push the boundaries of what AIDC technologies can achieve. By fostering an environment of innovation, AIDC India is helping businesses stay ahead of the curve and adopt the latest advancements.

Empowering Industries with AIDC Solutions

Across industries, AIDC technologies are transforming operations and unlocking new efficiencies. AIDC India plays a pivotal role in guiding organizations through the process of adopting and integrating AIDC solutions. Here are some of the key sectors where AIDC technologies are making an impact:

Retail

In the retail sector, AIDC technologies, such as barcode scanners and RFID, are revolutionizing inventory management, stocktaking, and customer experience. AIDC India advocates for the adoption of RFID solutions that enable retailers to track inventory in real-time, reducing stockouts and improving shelf management. Additionally, AIDC technologies help retailers enhance security, streamline checkout processes, and improve data accuracy.

Healthcare

In healthcare, AIDC technologies are crucial for improving patient care, optimizing resource management, and ensuring compliance. RFID and barcode systems are used to track patient records, medical equipment, and medications. This enhances accuracy in patient identification and helps prevent errors in medication administration. AIDC India supports the adoption of AIDC solutions in healthcare, ensuring that these technologies meet stringent regulatory standards while improving operational efficiency.

Logistics and Supply Chain

In logistics and supply chain management, AIDC technologies play a vital role in tracking goods and optimizing workflows. From warehouses to distribution centers, RFID and barcode systems allow businesses to track the movement of goods in real-time, ensuring accurate inventory levels and improving order fulfillment times. AIDC India’s advocacy efforts in this sector focus on helping logistics companies adopt AIDC technologies that improve traceability, reduce operational costs, and enhance customer satisfaction.

Manufacturing

Manufacturers use AIDC technologies to streamline production lines, track materials, and improve asset management. By integrating RFID and barcode systems into their operations, manufacturers can track work-in-progress, manage equipment maintenance, and ensure quality control. AIDC India works closely with manufacturers to implement tailored solutions that enhance productivity and reduce downtime.

Building a Skilled Workforce for the Future

As AIDC technologies become more prevalent, the need for skilled professionals who can design, implement, and manage these systems has increased. AIDC India is committed to building a skilled workforce by offering training, certifications, and educational programs. These programs equip professionals with the knowledge and skills required to work with AIDC solutions and help organizations optimize their operations.

Through partnerships with educational institutions, AIDC India ensures that the next generation of engineers, technicians, and data specialists are well-versed in the latest AIDC technologies. This focus on education helps to address the skills gap and ensures that businesses have access to the talent needed to adopt and maintain AIDC systems.

Challenges in the AIDC Industry

While the AIDC industry is poised for continued growth, several challenges remain. One of the key challenges is the cost of implementation, particularly for small and medium-sized enterprises (SMEs) that may be hesitant to adopt new technologies. AIDC India is working to address this issue by promoting affordable solutions and providing resources to help SMEs understand the long-term benefits of AIDC adoption.

Another challenge is the integration of AIDC systems with existing IT infrastructure. Businesses may face difficulties in ensuring that AIDC technologies work seamlessly with their enterprise resource planning (ERP) systems or supply chain management platforms. AIDC India is actively working to develop solutions that make integration easier and more cost-effective.

The Future of AIDC India and the AIDC Industry

Looking ahead, AIDC India is focused on expanding its reach, strengthening its partnerships with global technology providers, and advocating for policies that support the growth of the AIDC industry. The future of AIDC in India is bright, with opportunities in emerging technologies such as AI-powered data capture, biometric identification, and IoT integration.

As the demand for automation and data accuracy grows, AIDC India is committed to ensuring that businesses have the tools, knowledge, and support they need to thrive in the digital age.

Conclusion: AIDC India’s Commitment to the Future

AIDC India is leading the way in the evolution of identification and data capture technologies in India. By fostering innovation, promoting standards, and empowering industries, the association is helping businesses across sectors harness the full potential of AIDC solutions. As the world moves toward a more automated, data-driven future, AIDC India will continue to play a pivotal role in shaping the industry and driving progress.

Contact Us

Are you ready to explore AIDC solutions for your business? Contact AIDC India today and discover how our members can help you stay ahead in the world of identification and data capture technologies.

[govindhtech]

PyRDP And Rogue RDP: Automating Malicious RDP Exploits

PyRDP automates file exfiltration and clipboard theft for rogue RDP campaigns. This method allows unnoticed spying via hacked remote desktop sessions.

Remote Desktop Protocol?

The Windows service Remote Desktop Protocol (RDP) allows Terminal Servers and Clients to communicate. This system uses “virtual channels” to convey data from presentations, keyboard and mouse actions, clipboards, and serial devices. Traditional RDP security research has focused on how attackers with authentic victim credentials may get full GUI access to a machine.

Innovative New Campaign RDP Use

Google Threat Intelligence Group (GTIG) uncovered a new phishing campaign tied to UNC5837, a suspected Russian espionage actor, in October 2024. This effort targeted European military and political institutions using signed.rdp file attachments. Instead than stressing interactive sessions, this marketing ingeniously used two obscure RDP protocol features:

Resource redirection maps victim file systems to attacker servers.

RemoteApps: Giving victims access to attacker-controlled applications.

RDP proxy programs like PyRDP may automate dangerous actions like file exfiltration and clipboard gathering. This approach is called “Rogue RDP.” This effort focused on file theft and espionage.

Key RDP Features

.rdp configuration files: .rdp configuration files can change RDP session functionality by configuring IP addresses, display settings, and certificate options. These files setup an RDP session like the traditional GUI (mstsc.exe). The observed campaign used phishing emails with malware-signed.rdp file attachments. This file allowed the adversary to read and write all of the victim's discs and clipboard contents and create an RDP connection from the victim's computer.

The resource redirection capability lets remote desktop users utilise local peripherals and devices. This includes printers, keyboards, mouse, discs, serial connections, hardware keys, audio equipment, and clipboards. The observed campaign's malicious.rdp file sent all discs, printers, COM ports, smart cards, WebAuthn requests, clipboards, and POS devices to the attacker's C2 server. Microsoft's "virtual channels" allow resource redirection and RDP packet transmission.

RemoteApps: This optional RDP feature lets remote server apps run as windowed programs on the client (victim). Thus, a malicious remote program that isn't installed on the victim's PC may seem local. Malicious.rdp files in RemoteApp campaigns presented users with a fake “AWS Secure Storage Connection Stability Test” app.

This application was hosted on the attacker's RDP server and looked local. The session displays this application alone when remoteapplicationmode is 1. RemoteApp requires RDP server resources, yet mapped victim CDs allow RemoteApp access. This malware also received the victim's Windows environment variables as command-line arguments.

Function of PyRDP

PyRDP, an open-source Python-based MiTM RDP proxy toolkit, is used offensively. Even if its use in the claimed campaign is unverified, its automation makes it a feasible weapon for such attacks. PyRDP relays the victim-RDP server connection to boost capabilities:

Possible NTLM hash and plaintext password theft.

The RDP server executes commands, not the victim's machine.

Note the user's clipboard.

Mapping and maybe scraping drives.

Controlling, recording, and broadcasting RDP sessions.

PyRDP uses fine-grained control over built-in functionality rather than RDP protocol vulnerabilities. PyRDP might have been used in the campaign under observation to bypass the user login screen and reveal the malicious RemoteApp by giving credentials. Potential features include clipboard capture and automatic file exfiltration.

Security Risks and Effects

This campaign highlights unknown RDP security risks. It shows how attackers may employ lawful characteristics for evil, making identification and incident response harder due to fewer forensic artefacts than other attack routes. Even without direct command execution on target PCs, the attackers were able to access victim discs, steal files, collect clipboard data (including passwords), and steal environment variables. Signed.rdp files may bypass security alarms, reducing attack suspicion.

Advice for Defenders

The sources give several ways to fortify systems and identify these attacks:

Log Artefacts: Monitor registry keys (HKU\…\Microsoft\Terminal Server Client\Servers) and Windows Event Logs (Event IDs 1102, 1027, 1029) to comprehend an attacker's infrastructure. Increased logging (e.g., Sysmon) can track file write activity from C:\Windows\system32\mstsc.exe on redirected discs, however transient files should not be included. You may also use regex patterns to identify.rdp files run from email attachments.

System hardening: Network-level blocking of outgoing RDP traffic to public IPs, registry-based resource redirection disablement, and Group Policy-based granular RDP policy configuration (e.g., resource and clipboard redirection management, enforcing Network Level Authentication, and blocking.rdp file extensions as email attachments) can improve security.

Questionable RDP configuration files with a base64 encoded Let's Encrypt certificate or that allow resource redirection and RemoteApps can be identified using YARA criteria.

Final comments

The “Rogue RDP” campaign shows how to innovate with old tactics. The risk is dishonestly using actual RDP capabilities, not protocol weaknesses. To defend against such assaults and grasp PyRDP's potential, one must understand RDP features, notably resource redirection and RemoteApps.

[solesourcecapital]

Sole Source Capital-Backed Supply Chain Services Acquires Miles Data Technologies

SANTA MONICA, Calif., Oct. 2, 2020 (PRNewswire) — Sole Source Capital LLC (“Sole Source” or the “Firm”), an industrial-focused private equity firm providing capital to North American lower-middle market companies, today announced that its portfolio company, Supply Chain Services (“the Company”), a premier provider of automatic identification and data capture (AIDC) and factory automation solutions to customers across North America, has acquired Miles Data Technologies (“Miles Data”), a leading provider of barcode, RFID, and mobility solutions. Financial terms of the transaction were not disclosed.

With more than 30 years of experience, Miles Data provides a comprehensive line of products and services to approximately 2,000 customers throughout North America for all of their barcode, RFID, and mobility needs. By providing hands-on, high-touch services from product selection and testing to configuration, deployment and training, Miles Data has developed a diverse client base of companies that are prioritizing a mobile-first business strategy. In 2015, Miles Data established the first-ever Miles Data Solution Center, a state-of-the-art, one-stop location that demonstrates each product offering and solution for current and prospective clients.

In conjunction with the transaction, Miles Data’s current CEO Robert Ladd will continue to oversee the business and will assume the new role of Executive Vice President, working directly with Supply Chain Services CEO Dave Green to continue to drive growth and create value for the Company.

Supply Chain Services delivers innovative, automated data collection solutions to nearly 3,000 customers, providing critical technology that allows businesses to become more efficient and responsive. The Company was acquired by Sole Source Capital in May 2020. Through this acquisition of Miles Data, Supply Chain Services will continue to grow its range of barcoding and data collection solutions for clients, underscoring its technology-driven product leadership and unparalleled commitment to high quality customer service. This transaction follows the Company’s previous add-on acquisition in August 2020 of Dasco Label, a leading solutions provider of custom labels, imprinting, serialization, and barcoding services.

“Supply Chain Services and Sole Source Capital share our values and commitment to enhancing our capabilities and the technology-driven solutions we provide,” said Mr. Ladd. “We look forward to joining the Supply Chain Services family and working with the exceptional team at Sole Source Capital to continue to drive operational improvements, identify future growth and acquisition opportunities and develop exceptional, customer-centric solutions for a broad base of clients.”

“We are very excited to welcome Robert and the great organization at Miles Data to our team,” said Dave Green, CEO of Supply Chain Services. “Together, we will leverage our complementary product and service offerings to capitalize on the growing opportunity in the technology-based supply chain solutions space and continue to help our customers operate better across North America.”

David Fredston, Managing Partner of Sole Source Capital, said, “As a founder owned and led business, Miles Data’s unique culture of innovation and its commitment to providing the highest quality solutions for its clients’ most difficult supply chain challenges has differentiated its business and make it highly compatible with Supply Chain Services.”

[robertemma27-blog]

Automatic Identification and Data Capture Market Size, Share & Industry Growth Analysis Report

The Automatic Identification and Data Capture Market by Product (Barcodes, Smart Cards, OCR Systems, RFID Products, and Biometric Systems), Offering (Hardware, Software, and Services), Vertical, and Geography, Key factors fueling the growth of this market include growing e-commerce industry globally; increasing use of smartphones for QR code scanning and image recognition; rising adoption of AIDC solutions due to their ability to minimize queuing and transaction time and provide greater convenience to users in making small-value payments; and surging adoption of AIDC solutions by banking and financial institutions to ensure customer safety and security, along with data privacy.

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Browse in-depth TOC on "Automatic Identification and Data Capture Market”

162 - Market Data Tables

66 - Figures

253 - Pages

List of Key Players in Automatic Identification and Data Capture Market:

Honeywell (US),

Datalogic S.p.A. (Italy),

Zebra Technologies (US),

SICK AG (Germany),

Cognex Corporation (US),

Toshiba (Japan),

Panasonic Corporation (Japan),

Thales (France),

Drivers, Restraints, Opportunities and Challenges in Automatic Identification and Data Capture Market:

Driver: Growing e-commerce industry globally

Restraint: High installation cost of AIDC solutions

Opportunities: Imposing governments regulations for adoption of AIDC solutions

Challenges: Malware attacks and security breaches

Major market developments

In November 2019, Panasonic (Japan) launched an application programming interface (API) for facial recognition technology to be used in Japan. The API enables deep learning-powered facial recognition technology through a cloud-based service. The API allows facial recognition technology to be incorporated into customers’ smartphone applications, websites, and access management systems at buildings.

In January 2019, SICK AG (Germany) acquired SICK SpA, its joint venture with E.i. Schädler y Cía Ltda, its product distributors in Chile, enabling SICK AG to strengthen its position in South America.

In January 2019, Zebra Technologies (US) delivered its WT6000 wearable computer and RS4000 ring scanner to Mobis Parts Australia (MPAU), an Australian wholesale distributor of motor vehicle supplies, accessories, tools, and equipment. With Zebra’s offerings, MPAU aims to streamline its warehouse operations with a reduction in errors when compared to voice-only solutions.

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Many retail and logistics companies are expanding their presence in the region to capitalize on the increased purchasing power of the middle-class people, which has led to the growth of the automatic identification and data capture market in the region. Moreover, the significant presence of several market players, such as Panasonic (Japan), SATO (Japan), Toshiba (Japan), Godex (Taiwan), and Optoelectronics (Japan), in the region is likely to propel the growth of the automatic identification and data capture market in APAC.

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The manufacturing vertical is expected to continue to account for the largest size of the AIDC market. The leading position of the manufacturing vertical, in terms of market size, can be attributed to enhanced production efficiency and reduced operational costs achieved with the utilization of AIDC products, thereby enabling the manufacturing vertical to effectively manage the increasing number of goods flowing through the supply chain process. Hence, the manufacturing vertical is likely to witness a high demand for AIDCs during the forecast period.

[deshpandeisha]

Global Automatic Identification Data Capture Market Analysis: Key Players, Revenue Trends, and Demand Forecast

The global Automatic Identification And Data Capture (AIDC) market size reached USD 39.92 Billion in 2020 and is expected to register a revenue CAGR of 14.6%, during the forecast period, according to latest analysis by Emergen Research. Major factors driving global AIDC market revenue growth include rising implementation of these solutions in the e-Commerce industry and rising use in smartphones. Rising adoption of automatic identification and data capture solutions in public transportation is another factor expected to augment revenue growth of the market going ahead.

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-basedcameras. 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. Other biometric uses include smart ID cards and smart ticketing to identify a person using face recognition in order to access public transportation systems, thereby enabling safer travelling and streamlining ticketing and passenger management processes.

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Competitive Terrain:

The global Automatic Identification Data Capture industry is highly consolidated owing to the presence of renowned companies operating across several international and local segments of the market. These players dominate the industry in terms of their strong geographical reach and a large number of production facilities. The companies are intensely competitive against one another and excel in their individual technological capabilities, as well as product development, innovation, and product pricing strategies.

The leading market contenders listed 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., Godex International Co Ltd

Key market aspects studied in the report:

Market Scope: The report explains the scope of various commercial possibilities in the global Automatic Identification Data Capture market over the upcoming years. The estimated revenue build-up over the forecast years has been included in the report. The report analyzes the key market segments and sub-segments and provides deep insights into the market to assist readers with the formulation of lucrative strategies for business expansion.

Competitive Outlook: The leading companies operating in the Automatic Identification Data Capture market have been enumerated in this report. This section of the report lays emphasis on the geographical reach and production facilities of these companies. To get ahead of their rivals, the leading players are focusing more on offering products at competitive prices, according to our analysts.

Report Objective: The primary objective of this report is to provide the manufacturers, distributors, suppliers, and buyers engaged in this sector with access to a deeper and improved understanding of the global Automatic Identification Data Capture market.

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Market Segmentations of the Automatic Identification Data Capture Market

This market is segmented based on Types, Applications, and Regions. The growth of each segment provides accurate forecasts related to production and sales by Types and Applications, in terms of volume and value for the period between 2022 and 2030. This analysis can help readers looking to expand their business by targeting emerging and niche markets. Market share data is given on both global and regional levels. Regions covered in the report are North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. Research analysts assess the market positions of the leading competitors and provide competitive analysis for each company. For this study, this report segments the global Automatic Identification Data Capture market on the basis of product, application, and region:

Segments Covered in this report are:

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

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Major Geographies Analyzed in the Report:

North America (U.S., Canada)

Europe (U.K., Italy, Germany, France, Rest of EU)

Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)

Latin America (Chile, Brazil, Argentina, Rest of Latin America)

Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

ToC of the report:

Chapter 1: Market overview and scope

Chapter 2: Market outlook

Chapter 3: Impact analysis of COVID-19 pandemic

Chapter 4: Competitive Landscape

Chapter 5: Drivers, Constraints, Opportunities, Limitations

Chapter 6: Key manufacturers of the industry

Chapter 7: Regional analysis

Chapter 8: Market segmentation based on type applications

Chapter 9: Current and Future Trends

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About Us:

Emergen Research is a market research and consulting company that provides syndicated research reports, customized research reports, and consulting services. Our solutions purely focus on your purpose to locate, target, and analyse consumer behavior shifts across demographics, across industries, and help clients make smarter business decisions. We offer market intelligence studies ensuring relevant and fact-based research across multiple industries, including Healthcare, Touch Points, Chemicals, Types, and Energy. We consistently update our research offerings to ensure our clients are aware of the latest trends existent in the market. Emergen Research has a strong base of experienced analysts from varied areas of expertise. Our industry experience and ability to develop a concrete solution to any research problems provides our clients with the ability to secure an edge over their respective competitors.

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[rydotinfotech]

Empowering Students and Teachers: The Role of Face Recognition Attendance System in Educational Institutions 

Introduction: 

The education sector is undergoing a transformative shift, integrating advanced technologies to streamline operations and improve learning outcomes. In India alone, there are over 14 lakh (1.4 million) schools and colleges, yet a significant number still struggle to provide efficient educational facilities. According to the Ministry of Education, only a fraction of institutions have access to advanced technological tools, leaving many reliant on traditional, manual processes. 

Educational institutions often face administrative challenges that impact the quality of education. One such challenge is attendance management, which remains a time-consuming, error-prone manual task in many schools and colleges. The inefficiency of manual attendance can lead to reduced instructional time, administrative burdens, and data inaccuracies. 

With the rise of smart technology in education, the Face Recognition Attendance System (FRAS) is revolutionizing the way institutions operate. Using biometric facial recognition technology, these systems verify the identity of students and faculty, automatically recording attendance data into a database. This automation not only reduces human errors but also enhances the security and efficiency of institutional operations. 

The Growing Adoption of Facial Recognition Technology 

Facial recognition technology has witnessed a significant rise in adoption worldwide. According to MarketsandMarkets, the global facial recognition market size is projected to grow from $5.43 billion in 2022 to $6.28 billion in 2023, with a compound annual growth rate (CAGR) of 15.5%. Another report by Statista estimates that by 2028, the market will reach $12.92 billion, indicating increased reliance on AI-driven identification systems across industries, including education. 

What is Facial Recognition & How Does It Work? 

Facial recognition is a biometric technology that identifies individuals by analyzing unique facial features. It's widely used in various applications, from unlocking smartphones to security systems, and is now being adopted in educational settings for efficient attendance management. 

How Does It Work? 

The process involves three primary steps: 

Detection: Capturing an image of the individual's face. 

Analysis: Mapping unique facial features to create a digital template. 

Recognition: Comparing the digital template against a database to verify identity. 

By utilizing Automatic Facial Recognition (AFR), attendance tracking becomes seamless, minimizing human intervention while ensuring accuracy and security. 

Embracing the Future: Why Educational Institutions Thrive with Facial Recognition 

The Ed-Tech sector is experiencing significant growth, with institutions worldwide adopting smart attendance systems to enhance operational efficiency. A facial recognition attendance system simplifies attendance tracking and streamlines administrative tasks, allowing educators to focus more on teaching. 

By leveraging AI-driven attendance solutions, institutions can achieve real-time tracking, reduce administrative burdens, and improve security, thereby fostering a smarter and more efficient educational environment. 

Read More: How Artificial Intelligence is Transforming Business 

Discover the Astonishing Advantages of Face Recognition Attendance Systems 

Adopting facial recognition in educational institutions offers numerous benefits, including automation, enhanced security, and improved operational efficiency. The use case and benefits of facial recognition in schools for educational purposes is one of the best decisions you can make.  

Because it helps you in various ways, such as… 

7 Benefits of Face Recognition Attendance Systems for Schools & Universities 

#1. Real-Time Attendance Tracking 

Automated facial recognition enables real-time attendance tracking, ensuring accurate data collection without manual intervention. Institutions can access attendance records remotely, facilitating better management and transparency. 

#2. Increased Teaching Efficiency 

On average, teachers spend 15–20% of class time on administrative tasks such as taking attendance. Automating this process allows educators to focus more on teaching, leading to better student engagement and learning outcomes. 

#3. Cost-Effective Administration 

Hiring administrative staff for attendance management can be costly. By automating attendance tracking, institutions can save on administrative expenses, increasing their overall return on investment (ROI). 

#4. Enhanced Accuracy and Data Security 

Manual attendance methods are prone to errors, manipulation, and proxy attendance. With AI-powered facial recognition, accuracy is significantly improved, ensuring genuine attendance records and reducing discrepancies. 

#5. Improved Student Safety and Parental Assurance 

Beyond attendance tracking, facial recognition enhances student safety by monitoring access to school premises. Parents can receive real-time updates about their child’s attendance, ensuring greater transparency and security. 

#6. Streamlined Institutional Workflow 

Aside from student-wise attendance with class management, task management, course management, payroll calculation for college staff and administrative employees, tracking the exact working hours of in-house as well as guest lecturers, streamlining the duration of courses, and so on, administrative staff have many other important tasks. But with the help of a touchless face recognition attendance system, one can easily automate all their tasks and can generate reports as well. 

As a result, the attendance system helps teachers and staff to focus on what’s important. 

#7. Automated Report Generation 

Traditionally, attendance reports required manual compilation, making it difficult to track patterns and trends. Facial recognition systems automate report generation, providing instant insights into student attendance trends, faculty punctuality, and academic performance correlations. 

The increasing adoption of AI and biometric technology in education is paving the way for smart campuses. According to Research and Markets, the global smart education market is expected to reach $702.6 billion by 2028, driven by the demand for advanced learning solutions and automation. 

Join Us in Creating a Brilliant Smart Face Recognition Attendance System: Let’s Shape the Future Together! 

At Rydot Infotech, we are committed to transforming the education sector with cutting-edge AI-powered attendance solutions that enhance efficiency, security, and accuracy. With over five years of experience, our dedicated team has tackled some of the most complex challenges in education technology trends and delivered smart education solutions that empower institutions to streamline administrative workflows effortlessly. 

Our flagship application, TURNOUT, is a revolutionary face recognition attendance system designed to automate attendance tracking, enhance student security AI measures, and optimize school management software. By integrating deep learning attendance monitoring and biometric student tracking, our solution ensures real-time, error-free attendance management, eliminating manual inefficiencies and enhancing overall productivity. 

A Dream-Come-True Application with Extraordinary Features Such As: 

Student & Department Management 

Class & Lecture Management 

Leave & Shift Management 

Course Management  

Library, Seminar Hall 

Computer Labs Attendance Management 

Comprehensive Reports (Subject-wise, Student-wise, etc.)  

Generate real-time analytics for informed decision-making. 

Our cloud-based TURNOUT– Time & Attendance Solution integrates seamlessly with biometric attendance education systems to provide a secure school attendance system that also supports visitor management and access control. By leveraging contactless student identification and automated attendance solutions, our platform eliminates administrative bottlenecks and enhances institutional efficiency. 

Whether you're a school, college, university, or enterprise, our AI attendance system adapts to your needs, ensuring seamless integration, reduced errors, and real-time attendance tracking. 

Join the growing number of institutions embracing education technology innovations to revolutionize attendance management! Schedule a demo today or reach out to us at info@rydotinfotech.com to discover how TURNOUT can transform your institution. 

[chrismarkk]

How Does ANPR Work? A Deep Dive into Automatic Number Plate Recognition

Automatic Number Plate Recognition (ANPR) is a technology that automatically captures and reads vehicle registration plates. But how does ANPR work? This article provides a concise overview of this increasingly common system.

How Does ANPR Work?

The question "how does ANPR work" can be answered by breaking down the process into key stages:

Image Capture: ANPR systems use specialized cameras, often with infrared (IR) illumination, to capture images of vehicles. IR light allows for clear images even at night or in low-light conditions.

Number Plate Localization: The system's algorithms then analyze the captured image to locate the number plate. This involves identifying the rectangular shape and characteristic patterns of a license plate. This stage is crucial to how does ANPR work because it isolates the target information.

Optical Character Recognition (OCR): Once the plate is located, OCR software extracts the individual characters from the plate image. This is a complex process, as license plates can vary in font, style, and condition. Advanced OCR engines are trained on diverse datasets to improve accuracy.

Data Processing and Storage: The recognized characters are converted into a digital text string, representing the license plate number. This data is then stored in a database, often along with the date, time, and location of the capture. This is a key part of how does ANPR work because it allows for later retrieval and analysis.

Matching and Action: Finally, the captured license plate number can be compared against various databases. Depending on the application, this might be a database of registered vehicles, stolen cars, or toll payment records. If a match is found, the system can trigger a pre-defined action, such as alerting authorities, opening a gate, or recording a toll charge. This matching process is often the ultimate goal of how does ANPR work in practice.

Key Features and Advantages

Understanding how does ANPR work also means understanding its key features and advantages:

High Accuracy: Modern ANPR systems are highly accurate, minimizing errors in vehicle identification.

Real-time Processing: Data can be processed in real-time, enabling immediate action.

24/7 Operation: IR illumination allows for continuous operation, day and night.

Integration: ANPR systems can be integrated with other systems, such as databases and traffic management platforms.

Applications of ANPR

The question "how does ANPR work" is relevant to many applications:

Law Enforcement: Tracking stolen vehicles, identifying vehicles of interest, and monitoring traffic flow.

Traffic Management: Analyzing traffic patterns, optimizing traffic light timing, and enforcing traffic regulations.

Toll Collection: Automating toll payments and reducing congestion at toll booths.

Parking Management: Automating parking payments, enforcing parking regulations, and managing parking occupancy.

Security: Monitoring access to secure areas and identifying suspicious vehicles.

How ANPR Benefits Businesses

Knowing how does ANPR work allows businesses to leverage its benefits:

Logistics: Tracking vehicle movements, managing fleets, and automating gate access.

Retail: Tracking customer visits and personalizing marketing efforts.

Security: Monitoring parking lots and securing premises.

Ethical Considerations

While ANPR offers significant benefits, it's crucial to consider the ethical implications and privacy concerns related to the collection and storage of vehicle license plate data. Regulations and guidelines are necessary to ensure responsible and ethical use of this technology.

In summary, how does ANPR work involves a combination of image capture, processing, and data analysis. This technology has diverse applications and offers numerous benefits, but it's essential to address the ethical considerations and privacy concerns associated with its use.