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市場調查報告書
商品編碼
1700119
智慧型文件處理市場預測至 2032 年:按組件、部署類型、組織規模、技術、應用、最終用戶和地區進行的全球分析Intelligent Document Processing Market Forecasts to 2032 - Global Analysis By Component (Solutions and Services), Deployment Mode, Organization Size, Technology, Application, End User and By Geography |
根據 Stratistics MRC 的預測,全球智慧文件處理 (IDP) 市場規模預計在 2025 年達到 30.7 億美元,到 2032 年將達到 105.3 億美元,預測期內的複合年成長率為 35.2%。
智慧型文件處理是指利用先進技術自動從非結構化文件中提取、分類和處理資料。它使系統能夠解釋、理解和處理來自不同來源(包括發票、合約和電子郵件)的複雜訊息,從而增強了傳統的文件管理。透過將紙本和掃描文件轉換為可操作的數位資料,IDP 簡化了工作流程、減少了手動工作、提高了準確性並加快了業務決策。
業內專家預測,到2026年,75%的新應用程式將採用低程式碼開發,其中80%的應用程式將由非IT開發人員營運。
非結構化資料不斷增加
傳統的文件管理系統難以有效地處理這些資料,因此需要能夠自動提取、分類和處理資訊的高級解決方案。 IDP 利用人工智慧、機器學習和光學字元辨識 (OCR) 技術,將非結構化資料轉化為可操作的見解,使企業能夠自動化工作流程、減少手動工作並改善決策。隨著各行各業資料量的成長,對可擴展、準確的 IDP 解決方案的需求持續成長,推動了市場擴張。
整合挑戰
IDP 經常面臨整合挑戰,因為他們必須使用非為自動化設計的舊有系統、資料庫和應用程式。將 IDP 解決方案與現有基礎設施整合可能很複雜、耗時且成本高昂,尤其是在擁有多樣化技術基礎的大型組織中。這些整合障礙可能會阻礙 IDP 解決方案的採用並阻礙市場成長,尤其是對於資源有限、無法進行重大系統升級的中小型企業而言。
數位轉型需求日益成長
隨著企業擴大轉向自動化數位化以簡化業務、提高效率和改善客戶體驗,IDP 解決方案變得至關重要。這些技術有助於實現文件處理的自動化、減少手動工作、提高資料準確性並加快決策速度。透過採用 IDP,企業可以數位化非結構化資料、最佳化工作流程並減少處理時間。金融、醫療保健和零售等行業的數位轉型推動了對智慧自動化的需求,這是 IDP 市場擴張的主要驅動力。
資料隱私和安全問題
IDP 處理來自各種文件的敏感資料,引發了對資料隱私和安全的擔憂。自動化系統處理個人、財務和機密訊息,因此容易受到資料外洩、未授權存取和網路攻擊。遵守 GDPR 等法規使情況變得更加複雜。這些風險使企業猶豫不決,尤其是在醫療保健和金融等受監管的行業,從而阻礙了市場成長。
隨著企業轉向遠距工作和數位化業務,COVID-19 疫情加速了智慧文件處理的採用。對數位文件的依賴性增加和資源限制導致了對自動化文件處理的需求,從而推動了對 IDP 解決方案的需求。疫情也增加了對非接觸式、高效文件處理的需求,使得 IDP 成為企業在快速變化的環境中提高業務效率和維持合規性的必備工具。
預計大型企業板塊在預測期內將佔據最大佔有率
預計在預測期內,大型企業部門將佔據最大的市場佔有率。大型企業使用 IDP 自動處理和提取大量非結構化文件中的資料。 IDP 簡化了發票處理、合約管理、合規性監控和客戶入職等流程。這種自動化可以提高可擴展性、降低成本、滿足法規要求,並提高財務、人力資源和法律等多個部門的生產力。
零售和電子商務領域預計將在預測期內實現最高複合年成長率
預計零售和電子商務領域將在預測期內實現最高成長率。在零售和電子商務領域,IDP 可以自動資料提取。減少手動資料輸入並提高準確性,以改善訂單履行、庫存管理和供應商關係管理。透過簡化文件處理,零售商和電子商務公司可以提高業務效率、降低成本、提高客戶滿意度並深入了解績效和趨勢。
在預測期內,由於數位化不斷提高、商業實踐不斷發展以及各行各業採用自動化技術,預計亞太地區將佔據最大的市場佔有率。印度、中國、日本和韓國等國家在採用 IDP 解決方案方面處於主導,其驅動力是處理大量非結構化資料、提高效率和降低營運成本。對人工智慧、機器學習和雲端技術的投資不斷增加,進一步推動了市場擴張。此外,該地區對數位轉型和法規遵循的關注正在推動對 IDP 解決方案的需求。
在預測期內,由於對自動化、數位轉型和人工智慧應用的高度關注,預計北美將呈現最高的複合年成長率。美國和加拿大憑藉主要技術供應商、高額IT基礎設施投資以及提高業務效率的需求引領市場。此外,醫療保健等領域的嚴格監管要求正在推動採用 IDP 解決方案來確保合規性和資料安全。
According to Stratistics MRC, the Global Intelligent Document Processing Market is accounted for $3.07 billion in 2025 and is expected to reach $10.53 billion by 2032 growing at a CAGR of 35.2% during the forecast period. Intelligent document processing refers to the use of advanced technologies to automate the extraction, classification, and processing of data from unstructured documents. It enhances traditional document management by enabling systems to interpret, understand, and process complex information from various sources, such as invoices, contracts, and emails. IDP streamlines workflows, reduces manual efforts, improves accuracy, and accelerates decision-making in businesses by converting paper-based or scanned documents into actionable digital data.
According to industry expert, it is projected that 75% of all new applications will be developed using low code by the year 2026, with 80% of operators being non-IT developers.
Increasing amounts of unstructured data
Traditional document management systems struggle to handle this data efficiently, creating a demand for advanced solutions that can automatically extract, classify, and process information. IDP leverages AI, machine learning, and optical character recognition (OCR) technologies to convert unstructured data into actionable insights, enabling businesses to automate workflows, reduce manual efforts, and improve decision-making. As data volumes grow across industries, the need for scalable and accurate IDP solutions continues to rise, driving market expansion.
Integration challenges
IDP faces integration challenges because it often needs to work with legacy systems, databases, and applications that were not designed for automation. Integrating IDP solutions with existing infrastructure can be complex, time-consuming, and costly, especially in large organizations with diverse technologies. These integration hurdles can hamper market growth by deterring businesses from adopting IDP solutions, especially small and medium-sized enterprises with limited resources for extensive system upgrades.
Rising demand for digital transformation
As businesses increasingly move towards automation and digitization to streamline operations, improve efficiency, and enhance customer experiences, IDP solutions have become essential. These technologies help organizations automate document handling, reducing manual work, improving data accuracy, and accelerating decision-making. By adopting IDP, companies can digitize unstructured data, optimize workflows, and ensure faster processing times. The push towards digital transformation across industries, including finance, healthcare, and retail, boosts the need for intelligent automation, significantly propelling the IDP market's expansion.
Data privacy and security concerns
IDP involves handling sensitive data from various documents, raising concerns about data privacy and security. Automated systems process personal, financial, and confidential information, making them vulnerable to data breaches, unauthorized access, and cyberattacks. Regulatory compliance, such as GDPR, further complicates the situation. These risks hamper market growth by creating hesitancy among businesses, especially those in regulated industries like healthcare and finance.
The covid-19 pandemic accelerated the adoption of intelligent document processing as businesses shifted to remote work and digital operations. The increased reliance on digital documents, along with the need for automation in document handling due to resource constraints, drove demand for IDP solutions. The pandemic also heightened the need for contactless and efficient document processing, making IDP an essential tool for businesses seeking to improve operational efficiency and maintain compliance in a rapidly changing environment.
The large enterprises segment is expected to be the largest during the forecast period
The large enterprises segment is expected to account for the largest market share during the forecast period. In large enterprises, IDP is used to automate the handling and extraction of data from vast volumes of unstructured documents. It streamlines processes like invoice processing, contract management, compliance monitoring, and customer onboarding. This automation supports scalability, lowers costs, ensures regulatory compliance, and improves overall productivity across various departments such as finance, HR, and legal.
The retail & e-commerce segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the retail & e-commerce segment is predicted to witness the highest growth rate. In retail and e-commerce, IDP automates the extraction and management of data from invoices, purchase orders, shipping documents, and customer communications. It enhances order processing, inventory management, and supplier relationship management by reducing manual data entry and improving accuracy. By streamlining document handling, retailers and e-commerce businesses can improve operational efficiency, reduce costs, enhance customer satisfaction, and gain better insights into business performance and trends.
During the forecast period, the Asia Pacific region is expected to hold the largest market share due to increasing digitalization, evolving business practices, and the adoption of automation technologies across industries. Countries like India, China, Japan, and South Korea are leading the adoption of IDP solutions, driven by the need to handle large volumes of unstructured data, improve efficiency, and reduce operational costs. Growing investments in AI, machine learning, and cloud technologies further fuel market expansion. Additionally, the region's focus on digital transformation and regulatory compliance boosts the demand for IDP solutions.
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR driven by the region's strong focus on automation, digital transformation, and AI adoption. The U.S. and Canada are leading the market due to the presence of major technology providers, high IT infrastructure investments, and the demand for improved business efficiency. Furthermore, strict regulatory requirements in sectors like healthcare boost the adoption of IDP solutions for compliance and data security.
Key players in the market
Some of the key players in Intelligent Document Processing Market include IBM, OpenBots, WorkFusion, Kofax, EdgeVerve Systems Limited, Appian, Singularity Systems, OpenText Corporation, Laiye, Blue Prism, Automation Anywhere, Inc., Rossum, ENCOO, AntWorks, Canoe Intelligence, Baidu, Datamatics Global Services Limited and UiPath.
In April 2021, Kofax launched TotalAgility 711, a significant upgrade to its Intelligent Document Processing (IDP) capabilities. TotalAgility 711 is designed to automate unstructured data processing more efficiently, allowing organizations to extract critical data from documents like invoices, contracts, and forms. With enhanced AI-driven functionalities, the platform can process documents at higher accuracy levels, even handling complex or non-standard document formats.
In March 2021, Automation Anywhere launched Automation 360, a cloud-native, AI-powered platform designed to enhance Intelligent Document Processing (IDP) capabilities. This platform is built to enable businesses to automate complex workflows across various departments, from data extraction to decision-making.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.