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.
Don't pay for what you don't need
Customize your report by selecting specific countries or regions and save 30%!
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.
Get the data you need at a Fraction of the cost
Personalize your report by choosing insights you need
and save 40%!
Automatic Identification and Data Capture Market :
| Attributes | Automatic Identification and Data Capture Market |
|---|---|
| CAGR (2023 to 2033) | 10.8% |
| Market Value (2033) | US$ 147,992.7 million |
| Growth Factor | Surging use of smartphone |
| Opportunity | Surging application in banking and finance sector |
| Key Trends | Rising e-commerce industry |
RFID Printers Market :
| Attributes | RFID Printers Market |
|---|---|
| CAGR (2023 to 2033) | 7.2% |
| Market Value (2033) | US$ 3,750.05 million |
| Growth Factor | Rising application in shipping and warehousing activities |
| Opportunity | Emergence of RFID printing machines |
| Key Trends | Surging RFID technology with barcode printer |
RFID Reader Market :
| Attributes | RFID Reader Market |
|---|---|
| CAGR (2023 to 2033) | 9.8% |
| Market Value (2033) | US$ 43,210 million |
| Growth Factor | Surging the need for unique solutions for inventory management |
| Opportunity | Wide scope in security authentication |
| Key Trends | Functions in vehicles and electronic devices |
| 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
Explore Technology Insights
View Reports
Automatic Identification and Data Capture Market
