The global automatic identification and data capture market is likely to generate a market value of US$ 52,910.7 million in 2023 and is expected to accumulate a market value of US$ 147,992.7 million by registering a CAGR of 10.8% in the forecast period.
The growth of the automatic identification and data capture market is attributed to the increasing use of smartphones for QR code scanning and image recognition. The market for automatic identification and data capture registered a CAGR of 8.7% in the historical period.
Automatic identification and data capture (AIDC) or automatic data capture system is an enhanced method, which is used to automatically identify assets and objects, collect information, and record data directly into computer systems. Further, AIDC systems are intended to manage assets, objects, delivery, inventories, and documents across the transportation, manufacturing, distribution, retail, government, and healthcare sectors.
In addition, automatics identification technologies such as radio frequency identification (RFID), optical character recognition (OCR), bar codes, biometrics, voice recognition, and QR codes are considered a part of automatic identification and data capture (AIDC).
Significant factors that impact the growth of the global automatic identification and data capture market include a surge in the growth of e-commerce platforms coupled with the rise in the utilization of smartphones for image recognition and QR code scanning. On the contrary, the rise in concerns about malware attacks and security breaches is projected to challenge the automatic identification and data capture sector over the analysis period.
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The growing e-commerce industry globally, increasing use of smartphones for QR code scanning and image recognition, and rising adoption of automatic identification and data capture solutions due to their ability to minimize queuing and transaction time and provide greater convenience to users in making small-value payments are the key factors that are anticipated to boost the market growth over the analysis period.
Additionally, the surging adoption of automatic identification and data capture solutions by banking and financial institutions to ensure customer safety and security, along with data privacy are some other factors that are expected to accelerate the growth of the automatic identification and data capture industry during the forecast period.
The automatic identification and data capture sector is witnessing a surge, owing to the rise in the use of the e-commerce industry paired with an increase in demand for smartphones, which is expected to propel the growth of the market in the forthcoming years.
The rising adoption of automatic identification and data capture solutions owing to their ability to minimize human error is expected to fuel the growth of the market during the forecast period.
Principal Consultant
The high cost associated with the installation of automatic identification and data capture systems is one of the key factors that is expected to impede the growth of the automatic identification and data capture sector during the forecast period. In addition, the rise in concerns about malware attacks and security breaches is projected to challenge the automatic identification and data capture business over the analysis period.
A huge chunk of a retail outlet’s total sale is contributed by low-value products and it is therefore economically unviable to use technologies such as RFIDs and 2D barcodes which are at the base of developments in the Automatic Identification & Data Capture market.
This is true for many other industries too, where the cost of large-scale implementation is hampering the growth of the automatic identification and data capture industry.
| Attributes | Value |
|---|---|
| Automatic Identification and Data Capture Market Size (2023) | US$ 52,910.7 million |
| Automatic Identification and Data Capture Market Projected Size (2033) | US$ 147,992.7 million |
| Automatic Identification and Data Capture Market CAGR (2023 to 2033) | 10.8% |
The global demand for automatic identification and data capture is projected to increase at a CAGR of 10.8% during the forecast period, reaching a total of US$ 147,992.7 million in 2033, according to a report from Future Market Insights (FMI). From 2018 to 2022, sales witnessed significant growth, registering a CAGR of 10.8%.
Data capturing has become essential to track and trace products of nearly all end-user industries. Not only does this help in analyzing the information about the product but also stores and saves information regarding the purchase of the product along with recording minute details of the same.
Although the COVID-19 pandemic affected the demand for automatic identification and data capture, the increasing sales of consumer products and emerging end-user industries are positively influencing the demand for automatic identification and data capture.
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| Countries | Market Share (2022) |
|---|---|
| United States | 16.4% |
| Germany | 9.4% |
| Japan | 4.3% |
| Australia | 5.4% |
The growth of automatic identification and data capture is largely driven by the increasing awareness and high adoption of AIDC devices, increasing government legislation & investments, particularly in retail, healthcare, and manufacturing industries; it contributes to the technological development of numerous industries in the region.
The region is expected to witness the leading growth during the forecast period, owing to the wide acceptance of advanced technologies in the region. In terms of regional platforms, North America holds the leading market share in the market. The region accumulated a market share of 27.2% in 2022.
Europe expanded with 22.1% share in the market. The region is presently experiencing prominent growth in the barcode, RFID, and biometric technologies in various industries such as retail, manufacturing, transportation & logistics, healthcare, and BFSI. Furthermore, technological advancement and innovation are changing the landscape for automatic identification and data capture in the market in the region.
According to Future Market Insights, Europe is expected to provide immense growth opportunities for automatic identification and data capture and is expected to yield 24.7% revenue in 2022.
| Countries | CAGR (2023 to 2033) |
|---|---|
| China | 8.2% |
| India | 14.3% |
Retail and logistics companies are expanding their presence in the Asia Pacific region to capitalize on the increased purchasing power of middle-class people. This, in turn, has led to the growth of automatic identification and data capture in the market in the region.
The significant presence of several market players, such as Panasonic, SATO, Toshiba, Godex, and Optoelectronics in the region is likely to propel the growth of the automatic identification and data capture sector in Asia Pacific. Thus, Asia Pacific is expected to procure a 32% market share for the automatic identification and data capture of the market in 2022.
Hardware segment dominated the market with 44.3% in 2022. 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 leading size of the hardware segment.
The increasing sales of these products are contributing to the growth of the hardware component segment.
Key players in the global automatic identification and data capture sector are Onna, Consilio, Amplitude, ContentSquare, LiveRamp, mParticle and TreasureData
Key participants present in the global market are RIOTEC Co. Ltd., Datalogic, ZIH Corp., Synaptics Incorporated, CVISION Technologies Inc., SATO Holdings Corporation, and Toshiba TEC Corporation, among others.
Key Players :
The Automatic Identification and Data Capture Market CAGR for 2033 is 10.8%.
The market is estimated to reach US$ 147,992.7 million by 2033.
Cognex Corporation, Datalogic S.p.A., Honeywell International Inc. are key market players.
The market is estimated to secure a valuation of US$ 52,910.7 million in 2023.
AIDC market development is being driven by the rise of RFID, mobile AIDC, cloud computing, new technology, and data security concerns.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033
5.3.1. Hardware
5.3.1.1. RFID Reader
5.3.1.2. Barcode Scanner
5.3.1.3. Smart Cards
5.3.1.4. Magnetic Ink Character Recognition Devices
5.3.1.5. Optical Character Recognition Devices
5.3.1.6. Biometric Devices
5.3.2. Software
5.3.3. Services
5.3.3.1. Integration & Installation Services
5.3.3.2. Support & Maintenance Services
5.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End User
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By End User, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User, 2023 to 2033
6.3.1. Transportation
6.3.2. Logistics & Warehouse
6.3.3. Courier & Postal Services
6.3.4. Retail
6.3.5. E-Commerce
6.3.6. FMCG
6.3.7. Manufacturing
6.3.8. Healthcare
6.3.9. Others
6.4. Y-o-Y Growth Trend Analysis By End User, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By End User, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
7.1. Introduction
7.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
7.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
7.3.1. North America
7.3.2. Latin America
7.3.3. Western Europe
7.3.4. Eastern Europe
7.3.5. South Asia and Pacific
7.3.6. East Asia
7.3.7. Middle East and Africa
7.4. Market Attractiveness Analysis By Region
8. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
8.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
8.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
8.2.1. By Country
8.2.1.1. USA
8.2.1.2. Canada
8.2.2. By Component
8.2.3. By End User
8.3. Market Attractiveness Analysis
8.3.1. By Country
8.3.2. By Component
8.3.3. By End User
8.4. Key Takeaways
9. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. Brazil
9.2.1.2. Mexico
9.2.1.3. Rest of Latin America
9.2.2. By Component
9.2.3. By End User
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Component
9.3.3. By End User
9.4. Key Takeaways
10. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. Germany
10.2.1.2. UK
10.2.1.3. France
10.2.1.4. Spain
10.2.1.5. Italy
10.2.1.6. Rest of Western Europe
10.2.2. By Component
10.2.3. By End User
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Component
10.3.3. By End User
10.4. Key Takeaways
11. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Poland
11.2.1.2. RUSAa
11.2.1.3. Czech Republic
11.2.1.4. Romania
11.2.1.5. Rest of Eastern Europe
11.2.2. By Component
11.2.3. By End User
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Component
11.3.3. By End User
11.4. Key Takeaways
12. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. India
12.2.1.2. Bangladesh
12.2.1.3. Australia
12.2.1.4. New Zealand
12.2.1.5. Rest of South Asia and Pacific
12.2.2. By Component
12.2.3. By End User
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Component
12.3.3. By End User
12.4. Key Takeaways
13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. China
13.2.1.2. Japan
13.2.1.3. South Korea
13.2.2. By Component
13.2.3. By End User
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Component
13.3.3. By End User
13.4. Key Takeaways
14. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. GCC Countries
14.2.1.2. South Africa
14.2.1.3. Israel
14.2.1.4. Rest of MEA
14.2.2. By Component
14.2.3. By End User
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Component
14.3.3. By End User
14.4. Key Takeaways
15. Key Countries Market Analysis
15.1. USA
15.1.1. Pricing Analysis
15.1.2. Market Share Analysis, 2022
15.1.2.1. By Component
15.1.2.2. By End User
15.2. Canada
15.2.1. Pricing Analysis
15.2.2. Market Share Analysis, 2022
15.2.2.1. By Component
15.2.2.2. By End User
15.3. Brazil
15.3.1. Pricing Analysis
15.3.2. Market Share Analysis, 2022
15.3.2.1. By Component
15.3.2.2. By End User
15.4. Mexico
15.4.1. Pricing Analysis
15.4.2. Market Share Analysis, 2022
15.4.2.1. By Component
15.4.2.2. By End User
15.5. Germany
15.5.1. Pricing Analysis
15.5.2. Market Share Analysis, 2022
15.5.2.1. By Component
15.5.2.2. By End User
15.6. UK
15.6.1. Pricing Analysis
15.6.2. Market Share Analysis, 2022
15.6.2.1. By Component
15.6.2.2. By End User
15.7. France
15.7.1. Pricing Analysis
15.7.2. Market Share Analysis, 2022
15.7.2.1. By Component
15.7.2.2. By End User
15.8. Spain
15.8.1. Pricing Analysis
15.8.2. Market Share Analysis, 2022
15.8.2.1. By Component
15.8.2.2. By End User
15.9. Italy
15.9.1. Pricing Analysis
15.9.2. Market Share Analysis, 2022
15.9.2.1. By Component
15.9.2.2. By End User
15.10. Poland
15.10.1. Pricing Analysis
15.10.2. Market Share Analysis, 2022
15.10.2.1. By Component
15.10.2.2. By End User
15.11. RUSAa
15.11.1. Pricing Analysis
15.11.2. Market Share Analysis, 2022
15.11.2.1. By Component
15.11.2.2. By End User
15.12. Czech Republic
15.12.1. Pricing Analysis
15.12.2. Market Share Analysis, 2022
15.12.2.1. By Component
15.12.2.2. By End User
15.13. Romania
15.13.1. Pricing Analysis
15.13.2. Market Share Analysis, 2022
15.13.2.1. By Component
15.13.2.2. By End User
15.14. India
15.14.1. Pricing Analysis
15.14.2. Market Share Analysis, 2022
15.14.2.1. By Component
15.14.2.2. By End User
15.15. Bangladesh
15.15.1. Pricing Analysis
15.15.2. Market Share Analysis, 2022
15.15.2.1. By Component
15.15.2.2. By End User
15.16. Australia
15.16.1. Pricing Analysis
15.16.2. Market Share Analysis, 2022
15.16.2.1. By Component
15.16.2.2. By End User
15.17. New Zealand
15.17.1. Pricing Analysis
15.17.2. Market Share Analysis, 2022
15.17.2.1. By Component
15.17.2.2. By End User
15.18. China
15.18.1. Pricing Analysis
15.18.2. Market Share Analysis, 2022
15.18.2.1. By Component
15.18.2.2. By End User
15.19. Japan
15.19.1. Pricing Analysis
15.19.2. Market Share Analysis, 2022
15.19.2.1. By Component
15.19.2.2. By End User
15.20. South Korea
15.20.1. Pricing Analysis
15.20.2. Market Share Analysis, 2022
15.20.2.1. By Component
15.20.2.2. By End User
15.21. GCC Countries
15.21.1. Pricing Analysis
15.21.2. Market Share Analysis, 2022
15.21.2.1. By Component
15.21.2.2. By End User
15.22. South Africa
15.22.1. Pricing Analysis
15.22.2. Market Share Analysis, 2022
15.22.2.1. By Component
15.22.2.2. By End User
15.23. Israel
15.23.1. Pricing Analysis
15.23.2. Market Share Analysis, 2022
15.23.2.1. By Component
15.23.2.2. By End User
16. Market Structure Analysis
16.1. Competition Dashboard
16.2. Competition Benchmarking
16.3. Market Share Analysis of Top Players
16.3.1. By Regional
16.3.2. By Component
16.3.3. By End User
17. Competition Analysis
17.1. Competition Deep Dive
17.1.1. RIOTEC Co. Ltd.
17.1.1.1. Overview
17.1.1.2. Product Portfolio
17.1.1.3. Profitability by Market Segments
17.1.1.4. Sales Footprint
17.1.1.5. Strategy Overview
17.1.1.5.1. Marketing Strategy
17.1.2. ZIH Corp.
17.1.2.1. Overview
17.1.2.2. Product Portfolio
17.1.2.3. Profitability by Market Segments
17.1.2.4. Sales Footprint
17.1.2.5. Strategy Overview
17.1.2.5.1. Marketing Strategy
17.1.3. Synaptics Incorporated
17.1.3.1. Overview
17.1.3.2. Product Portfolio
17.1.3.3. Profitability by Market Segments
17.1.3.4. Sales Footprint
17.1.3.5. Strategy Overview
17.1.3.5.1. Marketing Strategy
17.1.4. CVISION Technologies Inc.
17.1.4.1. Overview
17.1.4.2. Product Portfolio
17.1.4.3. Profitability by Market Segments
17.1.4.4. Sales Footprint
17.1.4.5. Strategy Overview
17.1.4.5.1. Marketing Strategy
17.1.5. SATO Holdings Corporation
17.1.5.1. Overview
17.1.5.2. Product Portfolio
17.1.5.3. Profitability by Market Segments
17.1.5.4. Sales Footprint
17.1.5.5. Strategy Overview
17.1.5.5.1. Marketing Strategy
17.1.6. Toshiba TEC Corporation
17.1.6.1. Overview
17.1.6.2. Product Portfolio
17.1.6.3. Profitability by Market Segments
17.1.6.4. Sales Footprint
17.1.6.5. Strategy Overview
17.1.6.5.1. Marketing Strategy
17.1.7. Cognex Corporation
17.1.7.1. Overview
17.1.7.2. Product Portfolio
17.1.7.3. Profitability by Market Segments
17.1.7.4. Sales Footprint
17.1.7.5. Strategy Overview
17.1.7.5.1. Marketing Strategy
17.1.8. Datalogic S.p.A.
17.1.8.1. Overview
17.1.8.2. Product Portfolio
17.1.8.3. Profitability by Market Segments
17.1.8.4. Sales Footprint
17.1.8.5. Strategy Overview
17.1.8.5.1. Marketing Strategy
17.1.9. Panasonic Corporation
17.1.9.1. Overview
17.1.9.2. Product Portfolio
17.1.9.3. Profitability by Market Segments
17.1.9.4. Sales Footprint
17.1.9.5. Strategy Overview
17.1.9.5.1. Marketing Strategy
17.1.10. NXP Semiconductors N.V.
17.1.10.1. Overview
17.1.10.2. Product Portfolio
17.1.10.3. Profitability by Market Segments
17.1.10.4. Sales Footprint
17.1.10.5. Strategy Overview
17.1.10.5.1. Marketing Strategy
18. Assumptions & Acronyms Used
19. Research Methodology
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Automatic Identification and Data Capture Market
