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市场调查报告书
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1636734
2030 年自动识别和资料撷取市场预测:按产品、技术解决方案、应用、最终用户和地区进行的全球分析Automatic Identification and Data Capture Market Forecast to 2030 - Global Analysis By Offering, Technology Solutions, Application, End User and By Geography |
根据 Stratistics MRC 的数据,全球自动识别和资料撷取市场预计在 2024 年达到 708 亿美元,到 2030 年将达到 1,665 亿美元,预测期内的复合年增长率为 15.3%。
无需人工干预即可自动收集资料并将传输到电脑系统的技术称为自动识别和资料撷取(AIDC)。光学字元辨识 (OCR)、RFID、条码和生物识别系统是这些技术的一些例子。透过快速收集和处理资料,AIDC 减少了资料输入错误,简化了程序,并提高了製造、零售和物流等领域的效率、准确性和速度。
《国际科学技术研究期刊》 2020 年发表的一项研究发现,菲律宾教育机构实施自动识别和资料收集 (AIDC) 技术后,交易处理时间缩短了 85%,消除了手动资料输入错误,业务效率提高了 90%。
自动化需求不断成长
各行业对自动化的需求日益增长,这是自动识别和资料撷取(AIDC) 市场发展的主要驱动力。自动化减少了人为错误,提高了业务效率,并简化了零售、物流和医疗保健等领域的工作流程。 RFID、生物辨识和条码扫描等技术的采用正在迅速扩大,因为它们能够优化库存管理、资产追踪和资料处理。电子商务的兴起和对资料实时准确性的需求进一步推动了这一趋势。
初期投资高
实施 AIDC 系统需要较高的初始成本。这些成本包括购买扫描器、阅读器和 RFID 标籤等硬件,以及与现有基础设施的整合。中小型企业通常无力进行此类投资。此外,持续的维护成本以及对操作这些系统的熟练人力的需求进一步阻碍了采用,特别是在成本敏感的市场。
物联网和连网设备的出现
AIDC 技术与物联网和连网型设备的整合提供了巨大的成长机会。支援物联网的 AIDC 系统透过提供存量基准、资产位置和供应链营运的即时洞察来增强资料收集。这种连接可以实现预测分析、改善决策并支援製造业和运输业等行业的自动化。随着智慧技术日益被采用,对先进的 AIDC 解决方案的需求预计将飙升。
互通性问题
不同 AIDC 系统和技术之间的互通性挑战对市场成长构成了威胁。跨装置和平台的标准不一致可能会产生相容性问题,并阻碍与现有IT基础设施的无缝整合。对于在不同地区运作并拥有不同技术生态系统的跨国公司来说,这个问题尤其明显。
由于劳动力短缺和供应链限制导致製造业和物流业中断,COVID-19 疫情最初减缓了 AIDC 市场的成长。然而,疫情加速了零售和医疗保健领域二维码和生物识别系统等非接触式技术的采用。封锁期间电子商务的激增进一步推动了对旨在简化库存管理和交付业务的 AIDC 解决方案的需求。
预测期内硬体部分预计将成为最大的部分
由于硬体在 AIDC 系统中发挥关键作用,预计在预测期内将占据最大的市场占有率。条码扫描器、RFID 读取器、生物辨识设备和印表机等组件对于资料撷取过程至关重要。这些设备在零售、物流和医疗保健等行业的广泛使用正在增强它们在市场上的主导地位。硬体技术的进步也促进了市场的持续成长。
预测期内付款处理部门预计将以最高复合年增长率成长
预计预测期内付款处理部分将以最高的复合年增长率成长。这一成长是由二维码和智慧卡等 AIDC 技术支援的非接触式付款方式的日益普及所推动的。在零售和电子商务领域,透过更快的交易速度来改善客户体验的重点进一步推动了该行业的扩张。
由于零售和电子商务行业的快速工业化和扩张,预计亚太地区将在预测期内占据最大的市场占有率。中国、印度和日本等国家是 AIDC 技术的领先采用者,这得益于其在自动化数位化方面不断增加的投资。该地区庞大的人口和不断增长的消费需求进一步刺激了各行业采用 AIDC 解决方案。这些因素使亚太地区成为全球 AIDC 市场的领先地区。
由于技术进步不断加快以及物联网和连网型设备的日益普及,预计亚太地区将在预测期内实现最高成长率。政府推动数位转型和自动化的倡议进一步推动了市场成长。此外,该地区蓬勃发展的物流和製造业,加上对提高业务效率的日益关注,正在推动对先进的 AIDC 解决方案的需求。这些趋势使得亚太地区成为 AIDC 市场快速成长的地区。
According to Stratistics MRC, the Global Automatic Identification and Data Capture Market is accounted for $70.8 billion in 2024 and is expected to reach $166.5 billion by 2030 growing at a CAGR of 15.3% during the forecast period. Technologies that gather data automatically and transfer it into a computer system without human intervention are referred to as Automatic Identification and Data Capture (AIDC). Optical character recognition (OCR), RFID, barcodes, and biometric systems are some examples of these techniques. By rapidly gathering and processing data, AIDC reduces data entry errors and streamlines procedures, increasing efficiency, accuracy, and speed in sectors like manufacturing, retail, and logistics.
According to a study published in the International Journal of Scientific and Technology Research in 2020, the implementation of Automatic Identification and Data Collection (AIDC) technology in educational institutions in the Philippines resulted in reducing transaction processing time by 85%, eliminating manual data entry errors, and increasing operational efficiency by 90%.
Growing demand for automation
The increasing need for automation across industries is a major driver of the Automatic Identification and Data Capture (AIDC) market. Automation reduces human error, enhances operational efficiency, and streamlines workflows in sectors like retail, logistics, and healthcare. The adoption of technologies such as RFID, biometrics, and barcode scanning is growing rapidly due to their ability to optimize inventory management, asset tracking, and data processing. This trend is further fueled by the rise of e-commerce and the demand for real-time data accuracy.
High initial investment
The high upfront cost of implementing AIDC systems poses a significant restraint. The expense includes purchasing hardware like scanners, readers, and RFID tags, as well as integration with existing infrastructure. Small and medium-sized enterprises (SMEs) often find it challenging to afford these investments. Additionally, ongoing maintenance costs and the need for skilled personnel to operate these systems further hinder adoption, especially in cost-sensitive markets.
Emergence of IoT and connected devices
The integration of AIDC technologies with IoT and connected devices offers immense growth opportunities. IoT-enabled AIDC systems enhance data collection by providing real-time insights into inventory levels, asset locations, and supply chain operations. This connectivity enables predictive analytics, improves decision-making, and supports automation in industries like manufacturing and transportation. As businesses increasingly adopt smart technologies, the demand for advanced AIDC solutions is expected to surge.
Interoperability issues
Interoperability challenges among different AIDC systems and technologies pose a threat to market growth. Inconsistent standards across devices and platforms can lead to compatibility issues, hindering seamless integration within existing IT infrastructures. This problem is particularly evident in multinational organizations that operate across diverse regions with varying technological ecosystems.
The COVID-19 pandemic initially slowed the growth of the AIDC market due to disruptions in manufacturing and logistics sectors caused by labor shortages and supply chain constraints. However, the pandemic also accelerated the adoption of contactless technologies like QR codes and biometric systems in retail and healthcare. The surge in e-commerce during lockdowns further boosted demand for AIDC solutions to manage inventory and streamline delivery operations.
The hardware segment is expected to be the largest during the forecast period
The hardware segment is expected to account for the largest market share during the forecast period due to its critical role in AIDC systems. Components such as barcode scanners, RFID readers, biometric devices, and printers are essential for data capture processes. The widespread use of these devices across industries like retail, logistics, and healthcare drives their dominance in the market. Increasing advancements in hardware technology also contribute to its sustained growth.
The payment processing segment is expected to have the highest CAGR during the forecast period
The payment processing segment is expected to witness the highest CAGR over the forecast period. This growth is driven by the rising adoption of contactless payment methods enabled by AIDC technologies such as QR codes and smart cards. The increasing focus on enhancing customer experience through faster transactions in retail and e-commerce sectors further propels this segment's expansion.
The Asia Pacific region is anticipated to account for the largest market share during the forecast period, driven by rapid industrialization and the expansion of retail and e-commerce sectors. Countries like China, India, and Japan are leading adopters of AIDC technologies, supported by increasing investments in automation and digitization. The region's large population and growing consumer demand further fuel the adoption of AIDC solutions across various industries. These factors collectively position Asia Pacific as a dominant player in the global AIDC market.
The Asia Pacific region is anticipated to register the highest growth rate over the forecast period, owing to rising technological advancements and the increasing adoption of IoT and connected devices. Government initiatives promoting digital transformation and automation are further boosting market growth. Additionally, the region's thriving logistics and manufacturing sectors, coupled with a growing focus on enhancing operational efficiency, drive the demand for advanced AIDC solutions. These trends make Asia Pacific the rapidly growing region in the AIDC market.
Key players in the market
Some of the key players in Automatic Identification and Data Capture Market include Zebra Technologies Corporation, Honeywell International Inc., Datalogic S.p.A., SATO Holdings Corporation, Cognex Corporation, Toshiba TEC Corporation, SICK AG, NXP Semiconductors, Panasonic Holdings, Denso Wave, Alien Technology, Bluebird Inc., Synaptics Incorporated, Godex International, TSC Auto ID Technology and Fujian Newland.
In October 2024, SATO Holdings Corporation a global pioneer in auto-ID and labelling solutions announced the development of its next-generation cloud platform by SATO Europe. This platform enables no-code development of applications and connectivity with databases and SaaS platforms. In a related move, SATO has invested in MobileLogic Sweden AB.
In August 2024, Zebra Technologies Corporation a leading digital solution provider enabling businesses to intelligently connect data, assets, and people, today announced a series of advanced AI features enhancing its Aurora machine vision software to provide deep learning capabilities for complex visual inspection use cases.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.