市場調查報告書
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1558360
BFSI 到 2030 年的機器人流程自動化市場預測:按組件、部署、組織規模和地區進行的全球分析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 |
據Stratistics MRC稱,2024年BFSI機器人流程自動化的全球市場規模為9.1736億美元,預計到2030年將達到52.3994億美元,預測期內複合年成長率預計為33.7%。
銀行、金融服務和保險 (BFSI) 領域的機器人流程自動化 (RPA) 是指使用軟體機器人或「機器人」來自動執行傳統上由人類執行的重複性、基於規則的任務。這些任務包括資料輸入、交易處理、合規性檢查、客戶引導等。 BFSI 的 RPA 透過最大限度地減少人為錯誤,實現更快的處理、降低營運成本並提高準確性。它還透過確保流程嚴格遵守法規和標準來幫助提高合規性。
更加重視核心業務
隨著公司簡化業務以專注於更具策略性的目標,RPA 提供了一種解決方案,可以更有效、更準確地處理重複的、基於規則的任務。透過自動化資料輸入、交易處理和合規報告等流程,公司可以騰出人力資源來執行更高價值的業務,例如客戶服務和創新。這不僅降低了營運成本,還提高了流程的一致性和合規性,這在高度監管的 BFSI 環境中至關重要。
工藝適用性有限
RPA(機器人流程自動化)在銀行、金融服務和保險 (BFSI) 領域的實施因流程適用性限制而受到阻礙。 RPA 對於不需要人工判斷的重複性、基於規則的任務最有效。許多 BFSI 流程都很複雜,涉及需要人工監督的決策、法規遵循和客戶互動。這些流程通常沒有標準化,並且存在例外情況,因此不適合自動化。 BFSI 中常用的舊有系統可能與 RPA 技術不完全相容,從而導致整合挑戰。
改善客戶體驗
在銀行、金融服務和保險 (BFSI) 領域,透過業務效率和改善服務交付來改善客戶體驗正在推動 RPA(機器人流程自動化)的採用。透過整合 RPA,這些金融機構可以提供更快、更準確的服務,並減少錯誤和營運成本。這種自動化還使員工能夠專注於更多付加業務,例如個人化的客戶互動,改善整體客戶體驗。此外,RPA 可以 24/7運作,使您能夠快速回應客戶查詢和交易,提高客戶滿意度和忠誠度。
維護和可擴展性問題
由於部署 RPA 機器人是為了自動執行重複性任務,因此它們通常需要持續維護,以跟上底層系統的變化,例如軟體更新或不斷變化的監管要求。這種頻繁更新的需求可能會導致成本增加和業務中斷。可擴展性是一個主要問題,因為在不同流程中擴展 RPA 並隨著需求的增加而擴展,這會給現有基礎設施帶來壓力。將 RPA 與舊有系統整合的複雜性使擴展工作更加複雜。
COVID-19 大流行加速了機器人流程自動化 (RPA) 在銀行、金融服務和保險 (BFSI) 領域的採用。面對前所未有的業務中斷,公司尋求維持業務永續營運和提高效率的方法。隨著遠距工作成為常態,RPA 提供了在無需人工干預的情況下管理這些業務的靈活性,減少了對實體辦公室的依賴並降低了業務風險。然而,疫情凸顯了數位轉型的必要性,促使 BFSI 公司加強對自動化技術的投資,以保持競爭力。
軟體部分預計將在預測期內成為最大的部分
預計軟體產業將在預測期內成為最大的產業。 RPA 可實現重複性和基於規則的任務的自動化,例如資料輸入、交易處理、合規性報告和客戶引導。增強的軟體解決方案現在正在將人工智慧 (AI) 和機器學習 (ML) 整合到 RPA 中,從而實現更複雜的決策流程和從資料模式中進行自適應學習。這透過提高準確性、減少處理時間和最大限度地減少人為錯誤來改變 BFSI 的業務。
預計本地細分市場在預測期內的複合年成長率最高。
與雲端基礎的替代方案相比,本地部署產業預計將透過提供更安全和可自訂的解決方案在預測期內實現最高的複合年成長率。透過在本地部署 RPA 工具,BFSI 機構可以更好地控制資料和流程,並解決對產業重要的合規性和安全性問題。這種本地部署可以與現有系統整合,並確保自動化工作流程與金融機構的特定業務需求緊密結合。
在預測期內,北美地區佔據了最大的市場佔有率。透過先進的 RPA 工具,金融機構可以自動執行日常合規業務,例如監控交易、確保資料完整性和報告監管變化。這種自動化不僅降低了人為錯誤的風險,還提高了整個全部區域合規報告的準確性和速度。改進的合規監控整合了複雜的演算法和即時分析,可以快速檢測和解決潛在的合規問題,從而將全部區域的監管罰款和聲譽損害的風險降至最低。
預計歐洲地區在預測期內將保持盈利成長。政府監管旨在提高金融業務的透明度、安全性和效率,並與數位轉型和監管合規的更廣泛目標保持一致。透過為 RPA 的實施制定明確的標準和指南,歐洲監管機構將鼓勵金融機構利用自動化來簡化流程、降低營運成本並最大限度地減少人為錯誤。此外,促進資料保護和隱私的法規(例如 GDPR)可確保以支援嚴格安全措施的方式實施 RPA 解決方案。這些因素正在推動該地區的成長。
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.