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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 booming due to constant improvements in technology and an insatiable need for real-time processing of information in various industries. Thus, Identifying and Data Capturing (AIDC) technologies such as barcode scanning, RFID (Radio Frequency Identification), and biometric systems are important for improving operational efficiency, inventory management, supply chain optimization, and minimizing human error. Such technologies automate data acquisition and processing, reduce dependency on manual input, and provide increased accuracy in tracking goods, assets, and people. AIDC has a vast applications in retail to track inventory and improve the experience of consumers. Major retailers such as Amazon and Walmart use RFID technology to track the movement of products from warehouses to store shelves. Thus, enabling accurate stock levels, minimizing stock-outs, and optimizing the operational process. In manufacturing, for instance, AIDC technologies like RFID help manufacturers track raw materials, equipment, and tools throughout the production process, ensuring materials are available when they are needed, and improving production efficiency and reducing downtime.
AIDC assures better patient safety and better care in the healthcare sector. RFID tags help track patient records, medications, and medical equipment, preventing errors in medication administration, and providing real-time tracking of medical devices to maintain their availability and sterilization at all times. Biometric systems are also being used in healthcare environments for the secure identification of patients and staff, further protecting patient information and ensuring the correct procedures are administered on the appropriate patients.
AIDC technologies have been more widely used in logistics and supply chain management, such as shipment tracking, vehicle fleet management and inventory management over a large and complex network. AIDC reduces errors, makes tracking more accurate, and increases efficiency in these domains, which translates into cost savings and improved reliability of delivery times. As AIDC technologies keep gaining pace in the industries, continuous advancements in RFID, barcode scanning, and biometrics will further fuel the market.
Drivers
The retail industry’s push for better inventory control and customer experience is driving the demand for AIDC technologies like RFID.
Government initiatives promoting automation, data security, and technology adoption are accelerating AIDC implementation across sectors.
AIDC technologies help reduce human error, streamline processes, and lower operational costs, which appeals to industries like manufacturing and logistics.
AIDC (Automatic Identification and Data Capture) technologies are extremely effective when it comes to minimizing human errors and eliminating unnecessary processes and costs, especially in manufacturing and logistics industries. They require the most accurate data for inventory, supply chain and asset management in sectors such as retail or logistics. AIDC solutions such as barcode scanning, RFID, and biometrics automate this manual process, reducing errors and improving efficiencies and speed as the AIDC solutions work with real-time data ensuring accuracy across the operations. In manufacturing, for example, RFID can track raw materials, tools, and products within production lines, receiving the necessary resources on time and avoiding production downtimes. Likewise, AIDC systems in logistics have provided better shipment visibility that increases the accuracy of inventory control and delivery efficiency. While instant data access enables enterprises to arrive at quicker decision-making processes, freedom of access also reduces bottlenecks, and, ultimately improves the overall efficiency of operations.
In addition, AIDC technologies help lower expenses by reducing labor requirements, which can often be expensive and error-prone. They further reduce incurred expenses from lost or misplaced inventory, allowing warehouse processes to run smoother. Using RFID to track assets saves companies money from replacing lost items, and avoids overstocking. Moreover, the AIDC solutions combined with biometrics and voice recognition systems provide high security and operational efficiency. In sectors such as healthcare and banking, biometrics are used to ensure the security and authentication of sensitive information to prevent fraud and improve access management. With the upgradation and maturity level concerning AIDC technologies as well as more value in each implementation than other technologies, price-benefit ratios are expected to grow, driving up efficiency and cost savings from various sectors.
Restraints
The vast amount of data generated by AIDC systems can overwhelm organizations if they lack proper data analytics tools to process and derive meaningful insights.
In certain sectors, consumer hesitation to adopt biometric systems and other AIDC technologies due to privacy concerns or unfamiliarity can restrict their widespread use.
Integrating AIDC technologies with existing IT systems and databases can be challenging, particularly for businesses that have legacy infrastructures in place.
For legacy infrastructure, integrating small business automatic identification and data capture (AIDC) technology with legacy IT systems and database applications offers several challenges to the business. As a result, legacy systems that operate on now-pervasive hardware and software architectures are unlikely to support all of the capabilities that AIDC technologies like RFID, barcode scanning, and biometrics enable. This mismatch makes it tough to create a seamless data exchange between AIDC solutions and existing systems of the enterprise (ERP or inventory management, tools). The process of integration could take a lot in terms of time, and technical and economic resources. For AIDC technologies, businesses might need to upgrade or replace their existing infrastructure. It might entail acquiring new gear like RFID readers or barcode scanners or an upgrade to the software to process the massive amount of data associated with AIDC systems. For organizations with extensive legacy systems, the process of upgrading can be cumbersome and disruptive, potentially halting essential business operations and leading to inefficiencies or system outages. Additionally, legacy AIDC providers often struggle to fit AIDC in with legacy IT systems to enable real-time data processing. Its nature of generating vast amounts of data requires processing and analytical consideration in real-time to optimize supply chains, locate assets, and keep inventory in check. On the other hand, legacy systems might not be able to accommodate such high data throughput, which can lead to delays in terms of data processing and decision-making. AIDC technologies are designed to deliver operational benefits like efficiency and accuracy, but those bear the drawback of being compromised.
Staff will also need to be trained in managing the new, unified systems, which will increase costs and potential delays. Among small companies, the money and time consuming nature of integration such as this makes it a deterrent for investment in AIDC technologies. Therefore, businesses need to evaluate whether it is feasible and cost-effective to upgrade their systems before deploying an AIDC solution to facilitate smoother implementation.
By Component
The hardware component led the market revenue with a share of 61.8.0% in 2023. For the forecast period, growing demand for AIDC hardware devices, including RFID (radio-frequency identification) tags, scanners, barcode solutions, magnetic stripe cards, optical character recognition systems, biometric systems, and smart cards, will likely continue as the leading driver by segment. With constant advancements in design and technology, we are seeing newer solutions being launched at a much faster pace. More example, in May 2024, Hanwha Vision, a developer of video surveillance systems and other vision solutions, announced a unique dual-lens Barcode Reader (BCR) camera that helps the logistics industry increase efficiency and prevent losses. With both video capture and barcode recognition functions in a single device, the product tracks parcel barcodes at specific 2 meters per second on high-speed conveyors. However, development towards increased portability along with higher efficiency and reliability is driving manufacturers to invest in research, to come out with competitive developments in the market.
The services segment is anticipated to grow at the fastest CAGR during the forecast period. In addition to AIDC technologies, service providers also provide extensive support such as installation, configuration, and long-term maintenance of systems and products, among others. They also offer training and consulting services to help organizations effectively implement and use AIDC technologies in their operations. Technical support and troubleshooting assistance are also provided by service providers to facilitate and ensure the smooth functioning of these products and reduce any disruptions during data capture processes.
By End-Use
The global market was analyzed across BFSI, telecommunication, IT, and others and the BFSI segment held the largest revenue share in 2023. The banking sector is indeed a significant contributor, with its rising requirement for advanced technologies like smart cards. Many financial organizations have implemented these systems due to their capacity to track assets, process secure transactions and recognize procedures. With governments worldwide attempting to limit the vulnerability of such institutions to security breaches and respond effectively to cyber threats, the market for products such as barcoded documents, biometrics systems, and smart cards tends to be on the rise.
The retail segment is projected to be the fastest-growing over the forecast period. This segment is anticipated to increase its share in the industry owing to the growing usage of automatic identification & data capture technologies including barcode & RFID tags in the areas of supply chain management, billing, and replenishment of orders in the retail value chain. The surge in urbanization and demand for different consumer goods are pushing the retail business to grow continuously in various other economies across the globe and hence AIDC technology adoption in this sector is growing. As retail distribution centers face new identification challenges that threaten longer-term goals, manufacturers are simultaneously improving upon traditional laser scanning capabilities and developing complementary technologies to address these challenges.
In 2023, North America held the largest revenue share of 37.3% in the market. This is because of increasing awareness along with the high adoption of AIDC devices and high investments to introduce these technologies in high-potential industries, such as retail, healthcare, and manufacturing. In addition, the rise of advanced technology acceptance and the technological development of various industries are factors likely to increase the growth of the regional market. The demand for security and efficiency in industrial processes has also led to the wide adoption of advanced equipment, including, but not limited to barcode readers and biometric systems.
Asia Pacific is predicted to grow with the highest CAGR between 2024-2032. With the growing purchasing power and rising living standards of the middle-income population, many multinational retail and logistics corporations have been expanding their presence in the Asia Pacific region. There has been a large-scale regional expansion of the regional automatic identification and data capture business due to this. Major players like Toshiba, Panasonic, and GoDEX International will help keep the industry moving forward. Furthermore, industrial automation technology development in developing countries such as China and India opens new avenues for AIDC manufacturers to enhance offerings.
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The major key players along with their products are
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
January 2024 - Honeywell expanded its AIDC portfolio by introducing advanced RFID solutions for warehouse and inventory management. This technology is designed to improve the speed and accuracy of data collection, reducing operational downtime in logistics.
March 2024 - Zebra Technologies launched new AI-powered barcode scanning solutions that integrate with existing ERP systems. These solutions aim to enhance real-time data processing for supply chain optimization, improving efficiency in manufacturing and retail environments.
| Report Attributes | Details |
| Market Size in 2023 | US$ 60.0 Bn |
| Market Size by 2032 | US$ 175.4 Bn |
| CAGR | CAGR of 12.68% from 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Component (Hardware, Software, Services) • By End Use (Manufacturing, Retail, Transportation & Logistics, Hospitality, BFSI, Healthcare, Government, Energy & Power, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | Zebra Technologies, Honeywell International, Datalogic S.p.A, Sato Holdings Corporation, Intermec, Keyence Corporation, Toshiba Tec Corporation, Seiko Epson Corporation, Avery Dennison Corporation, NCR Corporation, Cognex Corporation, Omron Corporation, SICK AG, Mettler Toledo, SMARTRAC Technology, Panasonic Corporation, TSC Auto ID Technology, PDC Healthcare, Printrak International, Impinj Inc |
| Key Drivers | • The retail industry’s push for better inventory control and customer experience is driving the demand for AIDC technologies like RFID. • Government initiatives promoting automation, data security, and technology adoption are accelerating AIDC implementation across sectors. • AIDC technologies help reduce human error, streamline processes, and lower operational costs, which appeals to industries like manufacturing and logistics. |
| Market Restraints | • The vast amount of data generated by AIDC systems can overwhelm organizations if they lack proper data analytics tools to process and derive meaningful insights • In certain sectors, consumer hesitation to adopt biometric systems and other AIDC technologies due to privacy concerns or unfamiliarity can restrict their widespread use • Integrating AIDC technologies with existing IT systems and databases can be challenging, particularly for businesses that have legacy infrastructures in place. |
Ans- 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.
Ans- The Automatic Identification and Data Capture Market is expected to grow at a CAGR of 12.68% during the forecast period of 2024-2032.
Ans- The North American region dominated the Automatic Identification and Data Capture Market in 2023.
Ans- Some of the major growth drivers of the Automatic Identification and Data Capture Market are:
The retail industry’s push for better inventory control and customer experience is driving the demand for AIDC technologies like RFID.
Government initiatives promoting automation, data security, and technology adoption are accelerating AIDC implementation across sectors.
AIDC technologies help reduce human error, streamline processes, and lower operational costs, which appeals to industries like manufacturing and logistics.
Ans- Some of the challenges facing the Automatic Identification and Data Capture Market are:
The vast amount of data generated by AIDC systems can overwhelm organizations if they lack proper data analytics tools to process and derive meaningful insights
In certain sectors, consumer hesitation to adopt biometric systems and other AIDC technologies due to privacy concerns or unfamiliarity can restrict their widespread use
Integrating AIDC technologies with existing IT systems and databases can be challenging, particularly for businesses that have legacy infrastructures in place.
Table of Contents:
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.2 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Adoption Rates of Emerging Technologies
5.2 Network Infrastructure Expansion, by Region
5.3 Cybersecurity Incidents, by Region (2020-2023)
5.4 Cloud Services Usage, by Region
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Automatic Identification and Data Capture Market Segmentation, by Component
7.1 Chapter Overview
7.2 Hardware
7.2.1 Hardware Market Trends Analysis (2020-2032)
7.2.2 Hardware Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.3 RFID Reader
7.2.3.1 RFID Reader Market Trends Analysis (2020-2032)
7.2.3.2 RFID Reader Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.4 Barcode Scanner
7.2.4.1 Barcode Scanner Market Trends Analysis (2020-2032)
7.2.4.2 Barcode Scanner Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.5 Smart Cards
7.2.5.1 Smart Cards Market Trends Analysis (2020-2032)
7.2.5.2 Smart Cards Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.6 Optical Character Recognition Devices
7.2.6.1 Optical Character Recognition Devices Market Trends Analysis (2020-2032)
7.2.6.2 Optical Character Recognition Devices Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.7 Biometric Systems
7.2.7.1 Biometric Systems Market Trends Analysis (2020-2032)
7.2.7.2 Biometric Systems Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.8 Others
7.2.8.1 Others Market Trends Analysis (2020-2032)
7.2.8.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Software
7.3.1 Software Market Trends Analysis (2020-2032)
7.3.2 Software Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 Services
7.4.1 Services Market Trends Analysis (2020-2032)
7.4.2 Services Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4.3 Integration & Installation Services
7.4.3.1 Integration & Installation Services Market Trends Analysis (2020-2032)
7.4.3.2 Integration & Installation Services Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4.5 Support & Maintenance Services
7.4.5.1 Support & Maintenance Services Market Trends Analysis (2020-2032)
7.4.5.2 Support & Maintenance Services Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Automatic Identification and Data Capture Market Segmentation, by End User
8.1 Chapter Overview
8.2 Manufacturing
8.2.1 Manufacturing Market Trends Analysis (2020-2032)
8.2.2 Manufacturing Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Retail
8.3.1 Retail Market Trends Analysis (2020-2032)
8.3.2 Retail Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Transportation & Logistics
8.3.1 Transportation & Logistics Market Trends Analysis (2020-2032)
8.3.2 Transportation & Logistics Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Hospitality
8.341 Hospitality Market Trends Analysis (2020-2032)
8.4.2 Hospitality Market Size Estimates and Forecasts to 2032 (USD Billion)
8.5 BFSI
8.5.1 BFSI Market Trends Analysis (2020-2032)
8.5.2 BFSI Market Size Estimates and Forecasts to 2032 (USD Billion)
8.6 Healthcare
8.6.1 Healthcare Market Trends Analysis (2020-2032)
8.6.2 Healthcare Market Size Estimates and Forecasts to 2032 (USD Billion)
8.7 Government
8.7.1 Government Market Trends Analysis (2020-2032)
8.7.2 Government Market Size Estimates and Forecasts to 2032 (USD Billion)
8.8 Energy & power
8.8.1 Energy & power Market Trends Analysis (2020-2032)
8.8.2 Energy & power Market Size Estimates and Forecasts to 2032 (USD Billion)
8.9 Others
8.9.1 Others Market Trends Analysis (2020-2032)
8.9.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Regional Analysis
9.1 Chapter Overview
9.2 North America
9.2.1 Trends Analysis
9.2.2 North America Automatic Identification and Data Capture Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.2.3 North America Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.2.4 North America Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.2.5 USA
9.2.5.1 USA Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.2.5.2 USA Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.2.6 Canada
9.2.6.1 Canada Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.2.6.2 Canada Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.2.7 Mexico
9.2.7.1 Mexico Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.2.7.2 Mexico Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.3 Europe
9.3.1 Eastern Europe
9.3.1.1 Trends Analysis
9.3.1.2 Eastern Europe Automatic Identification and Data Capture Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.3.1.3 Eastern Europe Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.3.1.4 Eastern Europe Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.3.1.5 Poland
9.3.1.5.1 Poland Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.3.1.5.2 Poland Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.3.1.6 Romania
9.3.1.6.1 Romania Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.3.1.6.2 Romania Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.3.1.7 Hungary
9.3.1.7.1 Hungary Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.3.1.7.2 Hungary Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.3.1.8 Turkey
9.3.1.8.1 Turkey Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.3.1.8.2 Turkey Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.3.1.9 Rest of Eastern Europe
9.3.1.9.1 Rest of Eastern Europe Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.3.1.9.2 Rest of Eastern Europe Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.3.2 Western Europe
9.3.2.1 Trends Analysis
9.3.2.2 Western Europe Automatic Identification and Data Capture Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.3.2.3 Western Europe Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.3.2.4 Western Europe Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.3.2.5 Germany
9.3.2.5.1 Germany Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.3.2.5.2 Germany Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.3.2.6 France
9.3.2.6.1 France Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.3.2.6.2 France Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.3.2.7 UK
9.3.2.7.1 UK Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.3.2.7.2 UK Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.3.2.8 Italy
9.3.2.8.1 Italy Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.3.2.8.2 Italy Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.3.2.9 Spain
9.3.2.9.1 Spain Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.3.2.9.2 Spain Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.3.2.10 Netherlands
9.3.2.10.1 Netherlands Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.3.2.10.2 Netherlands Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.3.2.11 Switzerland
9.3.2.11.1 Switzerland Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.3.2.11.2 Switzerland Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.3.2.12 Austria
9.3.2.12.1 Austria Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.3.2.12.2 Austria Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.3.2.13 Rest of Western Europe
9.3.2.13.1 Rest of Western Europe Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.3.2.13.2 Rest of Western Europe Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.4 Asia Pacific
9.4.1 Trends Analysis
9.4.2 Asia Pacific Automatic Identification and Data Capture Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.4.3 Asia Pacific Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.4.4 Asia Pacific Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.4.5 China
9.4.5.1 China Automatic Identification and Data Capture Market Estimates and Forecasts, by Product (2020-2032) (USD Billion)
9.4.5.2 China Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.4.6 India
9.4.5.1 India Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.4.5.2 India Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.4.5 Japan
9.4.5.1 Japan Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.4.5.2 Japan Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.4.6 South Korea
9.4.6.1 South Korea Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.4.6.2 South Korea Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.4.7 Vietnam
9.4.7.1 Vietnam Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.2.7.2 Vietnam Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.4.8 Singapore
9.4.8.1 Singapore Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.4.8.2 Singapore Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.4.9 Australia
9.4.9.1 Australia Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.4.9.2 Australia Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.4.10 Rest of Asia Pacific
9.4.10.1 Rest of Asia Pacific Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.4.10.2 Rest of Asia Pacific Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.5 Middle East and Africa
9.5.1 Middle East
9.5.1.1 Trends Analysis
9.5.1.2 Middle East Automatic Identification and Data Capture Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.5.1.3 Middle East Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.5.1.4 Middle East Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.5.1.5 UAE
9.5.1.5.1 UAE Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.5.1.5.2 UAE Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.5.1.6 Egypt
9.5.1.6.1 Egypt Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.5.1.6.2 Egypt Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.5.1.7 Saudi Arabia
9.5.1.7.1 Saudi Arabia Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.5.1.7.2 Saudi Arabia Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.5.1.8 Qatar
9.5.1.8.1 Qatar Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.5.1.8.2 Qatar Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.5.1.9 Rest of Middle East
9.5.1.9.1 Rest of Middle East Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.5.1.9.2 Rest of Middle East Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.5.2 Africa
9.5.2.1 Trends Analysis
9.5.2.2 Africa Automatic Identification and Data Capture Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.5.2.3 Africa Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.5.2.4 Africa Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.5.2.5 South Africa
9.5.2.5.1 South Africa Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.5.2.5.2 South Africa Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.5.2.6 Nigeria
9.5.2.6.1 Nigeria Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.5.2.6.2 Nigeria Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.5.2.7 Rest of Africa
9.5.2.7.1 Rest of Africa Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.5.2.7.2 Rest of Africa Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.6 Latin America
9.6.1 Trends Analysis
9.6.2 Latin America Automatic Identification and Data Capture Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.6.3 Latin America Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.6.4 Latin America Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.6.5 Brazil
9.6.5.1 Brazil Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.6.5.2 Brazil Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.6.6 Argentina
9.6.6.1 Argentina Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.6.6.2 Argentina Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.6.7 Colombia
9.6.7.1 Colombia Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.6.7.2 Colombia Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
9.6.8 Rest of Latin America
9.6.8.1 Rest of Latin America Automatic Identification and Data Capture Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.6.8.2 Rest of Latin America Automatic Identification and Data Capture Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10. Company Profiles
10.1 Zebra Technologies
10.1.1 Company Overview
10.1.2 Financial
10.1.3 Products/ Services Offered
110.1.4 SWOT Analysis
10.2 Honeywell International Inc.
10.2.1 Company Overview
10.2.2 Financial
10.2.3 Products/ Services Offered
10.2.4 SWOT Analysis
10.3 Datalogic S.p.A
10.3.1 Company Overview
10.3.2 Financial
10.3.3 Products/ Services Offered
10.3.4 SWOT Analysis
10.4 Sato Holdings Corporation
10.4.1 Company Overview
10.4.2 Financial
10.4.3 Products/ Services Offered
10.4.4 SWOT Analysis
10.5 Intermec (now part of Honeywell)
10.5.1 Company Overview
10.5.2 Financial
10.5.3 Products/ Services Offered
10.5.4 SWOT Analysis
10.6 Keyence Corporation
10.6.1 Company Overview
10.6.2 Financial
10.6.3 Products/ Services Offered
10.6.4 SWOT Analysis
10.7 Seiko Epson Corporation
10.7.1 Company Overview
10.7.2 Financial
10.7.3 Products/ Services Offered
10.7.4 SWOT Analysis
10.8 Toshiba Tec Corporation
10.8.1 Company Overview
10.8.2 Financial
10.8.3 Products/ Services Offered
10.8.4 SWOT Analysis
10.9 Avery Dennison Corporation
10.9.1 Company Overview
10.9.2 Financial
10.9.3 Products/ Services Offered
10.9.4 SWOT Analysis
10.10 NCR Corporation
10.9.1 Company Overview
10.9.2 Financial
10.9.3 Products/ Services Offered
10.9.4 SWOT Analysis
11. Use Cases and Best Practices
12. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Component
By End - Use
Request for Segment Customization as per your Business Requirement: Segment Customization Request
REGIONAL COVERAGE:
North America
Europe
Asia Pacific
Middle East & Africa
Latin America
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Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
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