Summary

Automatic Identification And Data Capture Market Growth & Trends

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 expand at a CAGR of 12.0% from 2023 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.

For instance, in August 2022, BE Switchcraft Pty Ltd, a manufacturer of electronic and electrical components, endorsed Zebra Technologies Corp.'s radio frequency identification (RFID) solution to obtain real-time visibility of its production process and financial data. The solution allows the BE Switchcraft team to see each stage of the switchboard production process in real time. The collected data is integrated with the company's enterprise resource planning system to offer essential updates on each project's status and financial data for projects in production.

Rising government laws requiring AIDC technology are driving demand for these systems. Over the last decade, governments worldwide have passed legislation to encourage the use of AIDC technologies in various industries to address the issue of rising data entry errors and associated operating costs. These laws and regulations are intended to assist enterprises in ensuring improved information visibility, improving operational efficiency, lowering operating costs through accurate data capture and fewer data input errors, and increasing customer satisfaction.

For instance, in August 2022, Delhi International Airport Limited (DIAL) announced the launch of a beta version of DigiYatra, an app based on facial recognition technology to recognize travelers. The initiative intends to provide a paperless & seamless travel experience, following the Government of India's regulations for providing contactless, effortless processing of passengers at airports.

Automatic Identification And Data Capture Market Report Highlights

• North America dominated the market and accounted for the largest revenue share of 39.6% in 2022. 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

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Table of Contents

Table of Contents

Chapter 1. Methodology and Scope
1.1. Market Segmentation & Scope
1.1.1. Component
1.1.2. End-user
1.1.3. Regional scope
1.1.4. Estimates and forecast timeline
1.2. Research Methodology
1.3. Information Procurement
1.3.1. Purchased database
1.3.2. GVR’s internal database
1.3.3. Secondary sources
1.3.4. Primary research
1.3.5. Details of primary research
1.4. Information or Data Analysis
1.5. Market Formulation & Validation
1.6. Model Details
1.7. List of Secondary Sources
1.8. List of Primary Sources
1.9. Objectives
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Outlook
2.2.1. Component outlook
2.2.2. End-user outlook
2.2.3. Regional outlook
2.3. Competitive Insights
Chapter 3. Automatic Identification and Data Capture Market Variables, Trends & Scope
3.1. Market Lineage Outlook
3.2. Industry Value Chain Analysis
3.3. Market Dynamics
3.3.1. Market driver analysis
3.3.2. Market restraint analysis
3.3.3. Market opportunity analysis
3.4. Automatic Identification and Data Capture Market Analysis Tools
3.4.1. Industry analysis - Porter’s
3.4.1.1. Supplier power
3.4.1.2. Buyer power
3.4.1.3. Substitution threat
3.4.1.4. Threat of new entrant
3.4.1.5. Competitive rivalry
3.4.2. PESTEL analysis
3.4.2.1. Political landscape
3.4.2.2. Technological landscape
3.4.2.3. Economic landscape
Chapter 4. Automatic Identification and Data Capture Market: Component Estimates & Trend Analysis
4.1. Automatic Identification and Data Capture Market: Key Takeaways
4.2. Automatic Identification and Data Capture Market: Movement & Market Share Analysis, 2022 & 2030
4.3. Hardware
4.3.1. Hardware market estimates and forecasts, 2017 to 2030 (USD Billion)
4.3.2. RFID reader
4.3.2.1. RFID reader market estimates and forecasts, 2017 to 2030 (USD Billion)
4.3.3. Barcode scanner
4.3.3.1. Barcode scanner market estimates and forecasts, 2017 to 2030 (USD Billion)
4.3.4. Smart Cards
4.3.4.1. Smart cards market estimates and forecasts, 2017 to 2030 (USD Billion)
4.3.5. Optical character recognition system
4.3.5.1. Optical character recognition system market estimates and forecasts, 2017 to 2030 (USD Billion)
4.3.6. Biometric systems
4.3.6.1. Biometric systems market estimates and forecasts, 2017 to 2030 (USD Billion)
4.3.7. Others
4.3.7.1. Others market estimates and forecasts, 2017 to 2030 (USD Billion)
4.4. Software
4.4.1. Software market estimates and forecasts, 2017 to 2030 (USD Billion)
4.5. Services
4.5.1. Services market estimates and forecasts, 2017 to 2030 (USD Billion)
4.5.2. Integration & installation services
4.5.2.1. Integration & installation services market estimates and forecasts, 2017 to 2030 (USD Billion)
4.5.3. Support & maintenance services
4.5.3.1. Support & maintenance services market estimates and forecasts, 2017 to 2030 (USD Billion)
Chapter 5. Automatic Identification and Data Capture Market: End-user Estimates & Trend Analysis
5.1. Automatic Identification and Data Capture Market: Key Takeaways
5.2. Automatic Identification and Data Capture Market: Movement & Market Share Analysis, 2022 & 2030
5.3. Manufacturing
5.3.1. Manufacturing market estimates and forecasts, 2017 to 2030 (USD Billion)
5.4. Retail
5.4.1. Retail market estimates and forecasts, 2017 to 2030 (USD Billion)
5.5. Transportation & Logistics
5.5.1. Transportation & logistics market estimates and forecasts, 2017 to 2030 (USD Billion)
5.6. Hospitality
5.6.1. Hospitality market estimates and forecasts, 2017 to 2030 (USD Billion)
5.7. BFSI
5.7.1. BFSI market estimates and forecasts, 2017 to 2030 (USD Billion)
5.8. Healthcare
5.8.1. Healthcare market estimates and forecasts, 2017 to 2030 (USD Billion)
5.9. Government
5.9.1. Government market estimates and forecasts, 2017 to 2030 (USD Billion)
5.10. Energy & Power
5.10.1. Energy & power market estimates and forecasts, 2017 to 2030 (USD Billion)
5.11. Others
5.11.1. Others market estimates and forecasts, 2017 to 2030 (USD Billion)
Chapter 6. Automatic Identification and Data Capture Market: Regional Estimates & Trend Analysis
6.1. Regional Outlook
6.2. Automatic Identification and Data Capture Market by Region: Key Takeaway
6.3. North America
6.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Billion)
6.3.2. U.S.
6.3.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Billion)
6.3.3. Canada
6.3.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Billion)
6.4. Europe
6.4.1. UK
6.4.1.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Billion)
6.4.2. Germany
6.4.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Billion)
6.4.3. France
6.4.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Billion)
6.5. Asia Pacific
6.5.1. Japan
6.5.1.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Billion)
6.5.2. China
6.5.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Billion)
6.5.3. India
6.5.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Billion)
6.5.4. Australia
6.5.4.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Billion)
6.5.5. South Korea
6.5.5.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Billion)
6.6. Latin America
6.6.1. Brazil
6.6.1.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Billion)
6.6.2. Mexico
6.6.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Billion)
6.7. MEA
6.7.1. Saudi Arabia
6.7.1.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Billion)
6.7.2. South Africa
6.7.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Billion)
6.7.3. UAE
6.7.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Billion)
Chapter 7. Competitive Landscape
7.1. Recent Developments & Impact Analysis, By Key Market Participants
7.2. Market Participant Categorization
7.2.1. Zebra Technologies Corp.
7.2.1.1. Company overview
7.2.1.2. Financial performance
7.2.1.3. Product benchmarking
7.2.1.4. Strategic initiatives
7.2.2. Datalogic S.p.A.
7.2.2.1. Company overview
7.2.2.2. Financial performance
7.2.2.3. Product benchmarking
7.2.2.4. Strategic initiatives
7.2.3. Bluebird Inc
7.2.3.1. Company overview
7.2.3.2. Financial performance
7.2.3.3. Product benchmarking
7.2.3.4. Strategic initiatives
7.2.4. B.O.S. Better Online Solutions LTD.
7.2.4.1. Company overview
7.2.4.2. Financial performance
7.2.4.3. Product benchmarking
7.2.4.4. Strategic initiatives
7.2.5. Honeywell International Inc
7.2.5.1. Company overview
7.2.5.2. Financial performance
7.2.5.3. Product benchmarking
7.2.5.4. Strategic initiatives
7.2.6. NEC Corporation
7.2.6.1. Company overview
7.2.6.2. Financial performance
7.2.6.3. Product benchmarking
7.2.6.4. Strategic initiatives
7.2.7. Cognex Corporation
7.2.7.1. Company overview
7.2.7.2. Financial performance
7.2.7.3. Product benchmarking
7.2.7.4. Strategic initiatives
7.2.8. Toshiba Corporation
7.2.8.1. Company overview
7.2.8.2. Financial performance
7.2.8.3. Product benchmarking
7.2.8.4. Strategic initiatives
7.2.9. Panasonic Holdings Corporation
7.2.9.1. Company overview
7.2.9.2. Financial performance
7.2.9.3. Product benchmarking
7.2.9.4. Strategic initiatives
7.2.10. Thales
7.2.10.1. Company overview
7.2.10.2. Financial performance
7.2.10.3. Product benchmarking
7.2.10.4. Strategic initiatives