市场调查报告书
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BFSI 到 2030 年的机器人流程自动化市场预测:按组件、部署、组织规模和地区进行的全球分析Robotic Process Automation in BFSI Market Forecasts to 2030 - Global Analysis By Component (Services and Software), Deployment (On-Premise and Cloud), Organization Size and By Geography |
据Stratistics MRC称,2024年BFSI机器人流程自动化的全球市场规模为9.1736亿美元,预计到2030年将达到52.3994亿美元,预测期内复合年增长率预计为33.7%。
银行、金融服务和保险 (BFSI) 领域的机器人流程自动化 (RPA) 是指使用软体机器人或「机器人」来自动执行传统上由人类执行的重复性、基于规则的任务。这些任务包括资料输入、交易处理、合规性检查、客户引导等。 BFSI 的 RPA 透过最大限度地减少人为错误,实现更快的处理、降低营运成本并提高准确性。它还透过确保流程严格遵守法规和标准来帮助提高合规性。
更加重视核心业务
随着公司简化业务以专注于更具策略性的目标,RPA 提供了一种解决方案,可以更有效、更准确地处理重复的、基于规则的任务。透过自动化资料输入、交易处理和合规报告等流程,公司可以腾出人力资源来执行更高价值的业务,例如客户服务和创新。这不仅降低了营运成本,还提高了流程的一致性和合规性,这在高度监管的 BFSI 环境中至关重要。
工艺适用性有限
RPA(机器人流程自动化)在银行、金融服务和保险 (BFSI) 领域的实施因流程适用性限製而受到阻碍。 RPA 对于不需要人工判断的重复性、基于规则的任务最有效。许多 BFSI 流程都很复杂,涉及需要人工监督的决策、法规遵循和客户互动。这些流程通常没有标准化,并且存在例外情况,因此不适合自动化。 BFSI 中常用的旧有系统可能与 RPA 技术不完全相容,从而导致整合挑战。
改善客户体验
在银行、金融服务和保险 (BFSI) 领域,透过业务效率和改善服务交付来改善客户体验正在推动 RPA(机器人流程自动化)的采用。透过整合 RPA,这些金融机构可以提供更快、更准确的服务,并减少错误和营运成本。这种自动化还使员工能够专注于更多付加业务,例如个人化的客户互动,改善整体客户体验。此外,RPA 可以 24/7运作,使您能够快速回应客户查询和交易,提高客户满意度和忠诚度。
维护和可扩展性问题
由于部署 RPA 机器人是为了自动执行重复性任务,因此它们通常需要持续维护,以跟上底层系统的变化,例如软体更新或不断变化的监管要求。这种频繁更新的需求可能会导致成本增加和业务中断。可扩展性是一个主要问题,因为在不同流程中扩展 RPA 并随着需求的增加而扩展,这会给现有基础设施带来压力。将 RPA 与旧有系统整合的复杂性使扩展工作更加复杂。
COVID-19 大流行加速了机器人流程自动化 (RPA) 在银行、金融服务和保险 (BFSI) 领域的采用。面对前所未有的业务中断,公司寻求维持业务永续营运和提高效率的方法。随着远距工作成为常态,RPA 提供了在无需人工干预的情况下管理这些业务的灵活性,减少了对实体办公室的依赖并降低了业务风险。然而,疫情凸显了数位转型的必要性,促使 BFSI 公司加强对自动化技术的投资,以保持竞争力。
软体部分预计将在预测期内成为最大的部分
预计软体产业将在预测期内成为最大的产业。 RPA 可实现重复性和基于规则的任务的自动化,例如资料输入、交易处理、合规性报告和客户引导。增强的软体解决方案现在正在将人工智慧 (AI) 和机器学习 (ML) 整合到 RPA 中,从而实现更复杂的决策流程和从资料模式中进行自适应学习。这透过提高准确性、减少处理时间和最大限度地减少人为错误来改变 BFSI 的业务。
预计本地细分市场在预测期内的复合年增长率最高。
与云端基础的替代方案相比,本地部署产业预计将透过提供更安全和可自订的解决方案在预测期内实现最高的复合年增长率。透过在本地部署 RPA 工具,BFSI 机构可以更好地控制资料和流程,并解决对产业重要的合规性和安全性问题。这种本地部署可以与现有系统集成,并确保自动化工作流程与金融机构的特定业务需求紧密结合。
在预测期内,北美地区占据了最大的市场份额。透过先进的 RPA 工具,金融机构可以自动执行日常合规业务,例如监控交易、确保资料完整性和报告监管变化。这种自动化不仅降低了人为错误的风险,还提高了整个全部区域合规报告的准确性和速度。改进的合规监控整合了复杂的演算法和即时分析,可以快速检测和解决潜在的合规问题,从而将全部区域的监管罚款和声誉损害的风险降至最低。
预计欧洲地区在预测期内将保持盈利成长。政府监管旨在提高金融业务的透明度、安全性和效率,并与数位转型和监管合规的更广泛目标保持一致。透过为 RPA 的实施制定明确的标准和指南,欧洲监管机构将鼓励金融机构利用自动化来简化流程、降低营运成本并最大限度地减少人为错误。此外,促进资料保护和隐私的法规(例如 GDPR)可确保以支援严格安全措施的方式实施 RPA 解决方案。这些因素正在推动该地区的成长。
According to Stratistics MRC, the Global Robotic Process Automation in BFSI Market is accounted for $917.36 million in 2024 and is expected to reach $5239.94 million by 2030 growing at a CAGR of 33.7% during the forecast period. Robotic Process Automation (RPA) in the Banking, Financial Services, and Insurance (BFSI) sector refers to the use of software robots or "bots" to automate repetitive, rule-based tasks traditionally performed by humans. These tasks include data entry, transaction processing, compliance checks, and customer onboarding, among others. RPA in BFSI enables faster processing, reduces operational costs, and enhances accuracy by minimizing human error. It also helps improve compliance by ensuring that processes adhere strictly to regulations and standards.
Rising focus on core business
As companies streamline operations to focus more on strategic goals, RPA offers a solution to handle repetitive, rule-based tasks with greater efficiency and accuracy. By automating processes such as data entry, transaction processing, and compliance reporting, RPA allows organizations to allocate human resources to higher-value tasks like customer service and innovation. This not only reduces operational costs but also improves process consistency and compliance, crucial in the highly regulated BFSI environment.
Limited process suitability
Limited process suitability significantly hinders the adoption of Robotic Process Automation (RPA) in the Banking, Financial Services, and Insurance (BFSI) sector. RPA is most effective for repetitive, rule-based tasks that do not require human judgment. Many processes within BFSI are complex, involving decision-making, regulatory compliance, and customer interactions that demand human oversight. These processes are often non-standardized and involve exceptions, making them less suitable for automation. The legacy systems commonly used in BFSI may not be fully compatible with RPA technologies, leading to integration challenges.
Enhanced customer experience
Enhanced customer experience is driving the adoption of Robotic Process Automation (RPA) in the Banking, Financial Services, and Insurance (BFSI) sector by streamlining operations and improving service delivery. By integrating RPA, these institutions can offer faster and more accurate services, reducing errors and operational costs. This automation also allows employees to focus on more value-added tasks, such as personalized customer interactions, thereby enhancing the overall customer experience. Additionally, RPA's ability to operate 24/7 ensures that customer queries and transactions are handled promptly, increasing customer satisfaction and loyalty.
Maintenance and scalability issues
As RPA bots are deployed to automate repetitive tasks, they often require ongoing maintenance to handle changes in underlying systems, such as software updates or changes in regulatory requirements. This frequent need for updates can lead to increased costs and operational disruptions. Scalability is a major concern, as expanding RPA across various processes or scaling up in response to increased demand can strain the existing infrastructure. The complexity of integrating RPA with legacy systems further complicates scaling efforts.
The COVID-19 pandemic accelerated the adoption of Robotic Process Automation (RPA) in the Banking, Financial Services, and Insurance (BFSI) sector. Faced with unprecedented operational disruptions, organizations sought ways to maintain business continuity and enhance efficiency. With remote work becoming the norm, RPA provided the flexibility to manage these tasks without human intervention, reducing the dependency on physical offices and mitigating the risk of operational delays. However, the pandemic highlighted the need for digital transformation, pushing BFSI companies to invest more in automation technologies to stay competitive.
The Software segment is expected to be the largest during the forecast period
Software segment is expected to be the largest during the forecast period. RPA enables the automation of repetitive and rule-based tasks, such as data entry, transaction processing, compliance reporting, and customer onboarding. Enhanced software solutions are now integrating artificial intelligence (AI) and machine learning (ML) into RPA, allowing for more complex decision-making processes and adaptive learning from data patterns. This is transforming operations within BFSI by improving accuracy, reducing processing times, and minimizing human errors.
The On-Premise segment is expected to have the highest CAGR during the forecast period
On-Premise segment is expected to have the highest CAGR during the forecast period by offering a more secure and customizable solution compared to cloud-based alternatives. By deploying RPA tools on-premises, BFSI institutions can maintain greater control over their data and processes, addressing compliance and security concerns that are critical in this industry. This on-site deployment allows for tailored integration with existing systems, ensuring that automation workflows are closely aligned with the institution's specific operational requirements.
North America region commanded the largest share of the market over the forecast period. By leveraging advanced RPA tools, financial institutions can automate routine compliance tasks, such as monitoring transactions, ensuring data integrity, and reporting regulatory changes. This automation not only reduces the risk of human error but also enhances the accuracy and speed of compliance reporting throughout the region. Improved Compliance Monitoring integrates sophisticated algorithms and real-time analytics to detect and address potential compliance issues promptly, minimizing the risk of regulatory fines and reputational damage across the region.
Europe region is poised to hold profitable growth during the projected period. Government regulations are designed to enhance transparency, security, and efficiency in financial operations, aligning with the broader goals of digital transformation and regulatory compliance. By setting clear standards and guidelines for RPA implementation, European regulators are creating a supportive environment that encourages financial institutions to leverage automation for streamlining processes, reducing operational costs, and minimizing human error. Additionally, regulations that promote data protection and privacy, such as GDPR, ensure that RPA solutions are implemented in a way that upholds stringent security measures. These elements are boosting the regional growth.
Key players in the market
Some of the key players in Robotic Process Automation in BFSI market include Accenture plc, Capgemini SE, Cognizant Technology Solutions Corporation, Datamatics Global Services, Genpact, HCL Technologies, Infosys Limited, Microsoft Corporation, Tata Consultancy Services and Tech Mahindra.
In May 2021, UiPath Inc. launched UiPath Platform 21.4, which uses artificial intelligence to replace human business processes in organizations. The platform offers security safeguards and streamlines data-related business procedures.
In January 2021, Nice System Ltd. launched an AI-based RPA solution to accelerate automation prospects. Even in the face of volatile market conditions, this solution helped organizations to increase organizational effectiveness and streamline current business procedures.