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市場調查報告書
商品編碼
1636734
2030 年自動識別和資料擷取市場預測:按產品、技術解決方案、應用、最終用戶和地區進行的全球分析Automatic Identification and Data Capture Market Forecast to 2030 - Global Analysis By Offering, Technology Solutions, Application, End User and By Geography |
根據 Stratistics MRC 的數據,全球自動識別和資料擷取市場預計在 2024 年達到 708 億美元,到 2030 年將達到 1,665 億美元,預測期內的複合年成長率為 15.3%。
無需人工干預即可自動收集資料並將傳輸到電腦系統的技術稱為自動識別和資料擷取(AIDC)。光學字元辨識 (OCR)、RFID、條碼和生物識別系統是這些技術的一些例子。透過快速收集和處理資料,AIDC 減少了資料輸入錯誤,簡化了程序,並提高了製造、零售和物流等領域的效率、準確性和速度。
《國際科學技術研究期刊》 2020 年發表的一項研究發現,菲律賓教育機構實施自動識別和資料收集 (AIDC) 技術後,交易處理時間縮短了 85%,消除了手動資料輸入錯誤,業務效率提高了 90%。
自動化需求不斷成長
各行業對自動化的需求日益成長,這是自動識別和資料擷取(AIDC) 市場發展的主要驅動力。自動化減少了人為錯誤,提高了業務效率,並簡化了零售、物流和醫療保健等領域的工作流程。 RFID、生物辨識和條碼掃描等技術的採用正在迅速擴大,因為它們能夠最佳化庫存管理、資產追蹤和資料處理。電子商務的興起和對資料即時準確性的需求進一步推動了這一趨勢。
初期投資高
實施 AIDC 系統需要較高的初始成本。這些成本包括購買掃描器、閱讀器和 RFID 標籤等硬體,以及與現有基礎設施的整合。中小型企業通常無力進行此類投資。此外,持續的維護成本以及對操作這些系統的熟練人力的需求進一步阻礙了採用,特別是在成本敏感的市場。
物聯網和連網設備的出現
AIDC 技術與物聯網和連網型設備的整合提供了巨大的成長機會。支援物聯網的 AIDC 系統透過提供存量基準、資產位置和供應鏈營運的即時洞察來增強資料收集。這種連接可以實現預測分析、改善決策並支援製造業和運輸業等行業的自動化。隨著智慧技術日益被採用,對先進的 AIDC 解決方案的需求預計將飆升。
互通性問題
不同 AIDC 系統和技術之間的互通性挑戰對市場成長構成了威脅。跨裝置和平台的標準不一致可能會產生相容性問題,並阻礙與現有IT基礎設施的無縫整合。對於在不同地區運作並擁有不同技術生態系統的跨國公司來說,這個問題尤其明顯。
由於勞動力短缺和供應鏈限制導致製造業和物流業中斷,COVID-19 疫情最初減緩了 AIDC 市場的成長。然而,疫情加速了零售和醫療保健領域2D碼和生物識別系統等非接觸式技術的採用。封鎖期間電子商務的激增進一步推動了對旨在簡化庫存管理和交付業務的 AIDC 解決方案的需求。
預測期內硬體部分預計將成為最大的部分
由於硬體在 AIDC 系統中發揮關鍵作用,預計在預測期內將佔據最大的市場佔有率。條碼掃描器、RFID 讀取器、生物辨識設備和印表機等組件對於資料擷取過程至關重要。這些設備在零售、物流和醫療保健等行業的廣泛使用正在增強它們在市場上的主導地位。硬體技術的進步也促進了市場的持續成長。
預測期內付款處理部門預計將以最高複合年成長率成長
預計預測期內付款處理部分將以最高的複合年成長率成長。這一成長是由2D碼和智慧卡等 AIDC 技術支援的非接觸式付款方式的日益普及所推動的。在零售和電子商務領域,透過更快的交易速度來改善客戶體驗的重點進一步推動了該行業的擴張。
由於零售和電子商務行業的快速工業化和擴張,預計亞太地區將在預測期內佔據最大的市場佔有率。中國、印度和日本等國家是 AIDC 技術的領先採用者,這得益於其在自動化數位化方面不斷增加的投資。該地區龐大的人口和不斷成長的消費需求進一步刺激了各行業採用 AIDC 解決方案。這些因素使亞太地區成為全球 AIDC 市場的領先地區。
由於技術進步不斷加快以及物聯網和連網型設備的日益普及,預計亞太地區將在預測期內實現最高成長率。政府推動數位轉型和自動化的舉措進一步推動了市場成長。此外,該地區蓬勃發展的物流和製造業,加上對提高業務效率的日益關注,正在推動對先進的 AIDC 解決方案的需求。這些趨勢使得亞太地區成為 AIDC 市場快速成長的地區。
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.