Stratistics MRC에 따르면 세계의 지능형 문서 처리(IDP) 시장은 2025년 30억 7,000만 달러를 차지하고 예측 기간 동안 CAGR은 35.2%를 나타내 2032년에는 105억 3,000만 달러에 이를 것으로 전망됩니다.
지능형 문서 처리는 비정형 문서에서 데이터를 추출, 분류 및 처리하는 자동화를 위한 고급 기술의 사용을 의미합니다. 기존의 문서 관리를 강화합니다. IDP는 종이 기반 문서와 스캔한 문서를 실용적인 디지털 데이터로 변환하여 워크플로를 간소화하고, 수작업을 줄이고, 정확성을 높이고, 비즈니스 의사 결정을 가속화합니다.
업계 전문가에 따르면 2026년까지 신규 용도의 75%가 로우코드로 개발되며, 80%가 IT 개발자 이외의 운영자가 될 것으로 예상됩니다.
증가하는 비정형 데이터
기존의 문서 관리 시스템에서는 이러한 데이터를 효율적으로 다루기가 어렵고 정보를 자동으로 추출, 분류, 처리할 수 있는 고급 솔루션이 요구되고 있습니다. 기업이 워크플로를 자동화하고, 수작업을 줄이고, 의사결정을 개선할 수 있게 해 줍니다.
통합 과제
IDP는 종종 자동화를 위해 설계되지 않은 레거시 시스템, 데이터베이스 및 용도과 협력해야 하기 때문에 통합 과제에 직면하고 있습니다. 는 복잡하고 시간과 비용이 많이 들 수 있습니다. 이러한 통합 장애물은 특히 대규모 시스템 업그레이드를 위한 리소스가 제한된 중소기업에서 IDP 솔루션을 채택하는 것을 막아 시장 성장을 방해할 수 있습니다.
디지털 전환에 대한 수요 증가
기업이 업무의 합리화, 효율화, 고객 경험의 향상을 목표로 자동화와 디지털화를 진행하는 경향이 강해지고 있는 가운데, IDP 솔루션은 불가결한 것이 되고 있습니다. 업은 비구조화 데이터를 디지털화하고 워크플로를 최적화하며 처리 시간을 단축할 수 있습니다.
데이터 프라이버시 및 보안에 대한 우려
IDP는 다양한 문서에서 기밀 데이터를 처리하기 때문에 데이터 프라이버시와 보안에 대한 우려가 있습니다. 액세스, 사이버 공격에 취약합니다. GDPR(EU 개인정보보호규정)과 같은 규제 준수는 상황을 더욱 복잡하게 만들고 있습니다.
COVID-19의 유행은 기업이 원격 근무이나 디지털 업무로 이동함에 따라 지능형 문서 처리의 채용을 가속화했습니다. 퓨션 수요가 높아졌습니다.팬데믹(세계적 유행)에 의해 비접촉으로 효율적인 문서 처리의 요구도 높아져 IDP는 급속하게 변화하는 환경 속에서 업무 효율의 향상과 규정 준수의 유지를 목표로 하는 기업에 있어서 필수적인 툴이 되었습니다.
예측 기간 동안 대기업 부문이 최대가 될 전망
예측 기간 동안 대기업 부문이 가장 큰 시장 점유율을 차지할 것으로 예상됩니다. 모니터링, 고객 온보딩 등의 프로세스를 간소화합니다. 이 자동화를 통해 확장성 향상, 비용 절감, 법규 준수, 재무, 인사, 법무 등 다양한 부서 전체의 생산성 향상이 가능합니다.
예측기간 중 소매 및 E-Commerce 분야의 CAGR이 가장 높아질 전망
예측 기간 동안 소매 및 전자상거래 분야가 가장 높은 성장률을 보일 것으로 예상됩니다. 정확성을 높임으로써 수주처리, 재고관리, 공급업체와의 관계관리를 강화합니다.
예측 기간 동안 아시아태평양은 디지털화의 진전, 비즈니스 관행의 진화, 업계 전반에 걸친 자동화 기술의 채용으로 최대 시장 점유율을 차지할 것으로 예상됩니다. AI, 머신러닝, 클라우드 기술에 대한 투자 확대가 시장 확대를 더욱 추진하고 있습니다.
예측 기간 동안 북미는 자동화, 디지털 전환, AI 도입에 대한 강한 주력으로 가장 높은 CAGR을 나타낼 것으로 예측됩니다. 임프라 투자, 업무 효율성 개선에 대한 수요로 시장을 선도하고 있습니다.
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.