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市场调查报告书
商品编码
1943618
工作流程自动化市场 - 全球产业规模、份额、趋势、机会及预测(按部署类型、解决方案、最终用户产业、地区和竞争格局划分,2021-2031 年)Workflow Automation Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Deployment, By Solution, By End User Industry, By Region & Competition, 2021-2031F |
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全球工作流程自动化市场预计将从 2025 年的 248.5 亿美元成长到 2031 年的 440.7 亿美元,复合年增长率达到 10.02%。
该行业被定义为以技术主导的复杂业务流程编配,它确保人员和系统之间基于预定义规则的文件和任务无缝流动。市场的主要驱动因素包括对营运效率的需求、因消除人为错误而带来的显着成本节约,以及企业对数位转型日益增长的需求。这些基础要素如同催化剂,推动了技术的普及应用,使该行业区别于昙花一现的技术潮流,并促使企业对其营运结构进行现代化改造,以在数位经济中保持竞争力。
| 市场概览 | |
|---|---|
| 预测期 | 2027-2031 |
| 市场规模:2025年 | 248.5亿美元 |
| 市场规模:2031年 | 440.7亿美元 |
| 复合年增长率:2026-2031年 | 10.02% |
| 成长最快的细分市场 | 云 |
| 最大的市场 | 北美洲 |
然而,更广泛的市场扩张面临一个重大障碍:与现有旧有系统整合的复杂性。企业在尝试将现代化自动化工具与过时的基础设施对接时,常常会遇到各种困难,这阻碍了扩充性并降低了投资回报。根据智慧资讯管理协会 (AIIM) 预测,截至 2024 年,仅有 33% 的受访者表示其团队或部门内将整合系统、工作流程和流程自动化。这项数据凸显了目前阻碍全自动工作流程环境普及的重大障碍。
将生成式人工智慧和机器学习融入智慧流程自动化,正从根本上改变市场格局,将工作流程从静态的、基于规则的功能转变为动态的、认知操作。这种融合使企业能够自动化复杂的决策、内容创作和非结构化资料处理,有效管理以往需要人工干预的任务。智慧工作流程在各行各业的快速扩张,充分展现了这项技术变革的规模。根据Workato于2024年2月发布的《2024年工作自动化与人工智慧指数报告》,到2023年,利用生成式人工智慧功能的自动化流程将成长惊人的400%,这表明企业正在积极整合认知能力,以实现更高的营运敏捷性。
同时,随着低程式码/无程式码开发平台的普及,自动化正走向大众化,使业务用户能够设计解决方案,而无需过度依赖技术专长。这些平台减轻了中央 IT 部门的负担,加速了客製化应用程式的部署,并促进了公民开发文化的形成。领先平台的显着成长印证了这一趋势。在 2024 年 10 月的 Power Platform 社群大会上,微软宣布其低程式码生态系统的每月有效用户将达到 4,800 万,年成长 40%。这种日益增强的易用性正在推动整体市场成长,企业规模的扩张也进一步印证了这一点。 UiPath 的一项调查显示,61% 的公司预计到 2024上年度将扩大其软体自动化团队规模,凸显了企业对扩展自动化框架的持续投入。
与现有旧有系统整合的复杂性是全球工作流程自动化市场成长的主要障碍。随着企业现代化进程的推进,在尝试将先进的自动化平台与缺乏现代连接标准的过时基础设施对接时,常常会遇到巨大的技术难题。这种不相容性迫使企业将资金投入昂贵的客製化中间件或无限期地维护并行的手动流程,而非即时获得自动化所承诺的效率提升。因此,弥合这一差距所带来的成本增加和营运风险阻碍了自动化技术的广泛应用,并导致潜在买家推迟或缩减其数位转型计画。
系统间普遍缺乏无缝协作,导致资料孤岛的形成,直接阻碍了市场发展。根据美国全国製造商协会 (NAM) 预测,到 2024 年,仍有 70% 的製造商会采用人工资料收集方式。这种对人工介入的依赖,源自于分散的传统架构,抵销了工作流程自动化的核心提案:速度和准确性。只要关键业务资讯仍然孤立地存在于非整合环境中,市场就难以证明快速的投资回报,从而说服那些犹豫不决的企业大规模采用自动化。
随着企业从孤立的任务自动化转向全面的端到端流程协作,超自动化生态系统的策略性应用正在加速推进。越来越多的组织正在采用结合机器人流程自动化 (RPA)、业务流程管理 (BPM) 和整合平台即服务 (iPaaS) 的平台,以连接分散的技术并管理复杂的流程。这种转变的驱动力在于需要跨不同端点编排自动化任务、确保管治和扩充性,并优化现有数位资产的价值。这种对全面策略的关注也体现在支出计画中:根据 Camunda 于 2024 年 1 月发布的《2024 年流程协作报告》,90% 的 IT 决策者计划在未来 24 个月内增加自动化投资,以支持这些策略目标的实现。
同时,智慧文件处理 (IDP) 功能的扩展正在消除自动化工作流程中管理非结构化资料的关键瓶颈。先进的 IDP 解决方案利用专门的人工智慧技术,从发票和合约等复杂文件中提取、检验和整合数据,从而实现以往需要人工监督的任务的直通式处理。这项进步使企业能够将静态资讯转化为可执行的洞察,显着缩短週期时间,并提高各个业务角色的资料准确性。这种人工智慧的定向应用正在被广泛采用。根据 ABBYY 2024 年 8 月发布的《智慧自动化现况》报告,54% 的全球 IT 决策者表示,他们目前正在部署专门用于智慧文件处理的人工智慧工具,以优化以资料为中心的营运。
The Global Workflow Automation Market is projected to expand from USD 24.85 Billion in 2025 to USD 44.07 Billion by 2031, achieving a Compound Annual Growth Rate (CAGR) of 10.02%. Defined as the technology-driven orchestration of intricate business processes, this sector ensures the seamless flow of documents and tasks between personnel and systems according to preset rules. The market is chiefly underpinned by the imperative for operational efficiency, substantial cost savings achieved by removing manual errors, and the growing requirement for enterprise-wide digital transformation. These foundational elements serve as catalysts for adoption, distinguishing them from fleeting technological fads and compelling organizations to modernize their operational structures to maintain competitiveness in the digital economy.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 24.85 Billion |
| Market Size 2031 | USD 44.07 Billion |
| CAGR 2026-2031 | 10.02% |
| Fastest Growing Segment | Cloud |
| Largest Market | North America |
Nevertheless, broad market expansion encounters a significant obstacle regarding integration complexity with established legacy systems. Organizations frequently face hurdles when trying to align modern automation tools with antiquated infrastructure, which hinders scalability and postpones return on investment. According to the Association for Intelligent Information Management, in 2024, merely 33% of respondents indicated having integrated systems or workflow and process automation within their team or department. This statistic highlights the substantial implementation barriers that currently obstruct the wider achievement of fully automated workflow environments.
Market Driver
The incorporation of Generative AI and Machine Learning into Intelligent Process Automation is radically transforming the market by shifting workflows from static, rule-based functions to dynamic, cognitive operations. This convergence enables enterprises to automate intricate decision-making, content creation, and the processing of unstructured data, effectively managing tasks that once necessitated human involvement. The magnitude of this technological transition is demonstrated by the rapid expansion of intelligent workflows across business sectors. According to Workato's '2024 Work Automation and AI Index Report' from February 2024, automated processes utilizing generative AI capabilities saw a remarkable 400% increase in 2023, indicating that organizations are actively embedding cognitive features to achieve superior operational agility.
Concurrently, the proliferation of Low-Code and No-Code Development Platforms is democratizing automation, allowing business users to design solutions without heavy reliance on technical expertise. By relieving the pressure on central IT departments, these platforms expedite the rollout of custom applications and encourage a culture of citizen development. This trend is highlighted by the significant growth of major platforms; as announced by Microsoft at the 'Power Platform Community Conference' in October 2024, their low-code ecosystem attained 48 million monthly active users, marking a 40% year-over-year rise. This accessibility drives broader market growth, further evidenced by organizational expansion. According to UiPath, in 2024, 61% of companies stated they had enlarged their software automation teams over the preceding year, underscoring continued investment in scaling automated frameworks.
Market Challenge
Integration complexity involving existing legacy systems constitutes a major impediment to the growth of the global workflow automation market. As enterprises seek to modernize, they frequently confront substantial technical friction when attempting to align advanced automation platforms with antiquated infrastructure that is devoid of modern connectivity standards. This incompatibility compels organizations to redirect capital toward costly custom middleware or the indefinite maintenance of parallel manual processes, rather than achieving the immediate efficiency benefits promised by automation. Consequently, the elevated costs and operational risks linked to bridging this divide discourage broader adoption, leading potential buyers to postpone or reduce the scope of their digital transformation efforts.
This prevalent inability to seamlessly link systems generates data silos that directly hinder market progression. According to the National Association of Manufacturers, in 2024, 70% of manufacturers indicated that they continue to collect data manually. This dependence on manual intervention, driven by fragmented legacy architectures, neutralizes the fundamental value proposition of workflow automation: speed and accuracy. When essential business information remains isolated within non-integrated environments, the market faces challenges in demonstrating the rapid return on investment necessary to persuade hesitant enterprises to commit to large-scale automation implementations.
Market Trends
The strategic adoption of hyperautomation ecosystems is accelerating as enterprises progress from isolated task automation to comprehensive end-to-end process orchestration. Organizations are increasingly implementing unified platforms that combine Robotic Process Automation (RPA), Business Process Management (BPM), and Integration Platform as a Service (iPaaS) to connect fragmented technologies and manage intricate workflows. This transition is motivated by the need to coordinate automated tasks across various endpoints, ensuring governance and scalability while optimizing the value of current digital assets. The dedication to this holistic strategy is evident in spending plans; according to Camunda's '2024 State of Process Orchestration Report' from January 2024, 90% of IT decision-makers confirmed their organizations intend to boost automation investment over the coming 24 months to support these strategic goals.
Concurrently, the expansion of Intelligent Document Processing (IDP) capabilities is resolving the critical bottleneck of unstructured data management within automated workflows. Advanced IDP solutions utilize specialized artificial intelligence to extract, validate, and integrate data from complex documents like invoices and contracts, thereby facilitating straight-through processing for tasks that formerly required manual oversight. This development enables businesses to convert static information into actionable insights, dramatically shortening cycle times and enhancing data accuracy across operational roles. This focused application of AI is witnessing broad adoption; according to ABBYY's 'State of Intelligent Automation Report' from August 2024, 54% of global IT decision-makers reported they are currently employing purpose-built AI tools, specifically Intelligent Document Processing, to optimize their data-centric operations.
Report Scope
In this report, the Global Workflow Automation Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Workflow Automation Market.
Global Workflow Automation Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: