認知機器人流程自動化市場報告：2030 年趨勢、預測與競爭分析

認知機器人流程自動化趨勢與預測

到 2030 年，全球認知機器人流程自動化 (RPA) 市場預計將達到 113 億美元，2024 年至 2030 年複合年成長率為 11.4%。該市場的主要驅動力是各行業對自動化的需求不斷增加、數位化的快速發展以及電子商務領域的持續成長。全球認知機器人流程自動化市場的未來性充滿希望，金融和銀行、電信和 IT 服務、保險和醫療保健市場都充滿機會。

Lucintel 預測，隨著越來越多的公司更願意實施和管理自己的 CRPA 解決方案，該服務將在預測期內實現強勁成長。

由於對該行業技術進步的日益偏好以及該地區主要參與企業的存在，預計北美在預測期內將出現最高的成長。

認知 RPA 市場趨勢

隨著新趨勢的出現，認知 RPA 市場格局不斷變化。

• 人工智慧和機器學習的整合：認知 RPA 技術與人工智慧或機器學習的整合越來越多，也稱為自動化加人工智慧技術。此類整合使用複雜的資料來派生和執行功能，建立自動化和決策，並提高對 RPA 系統的理解。
• 更好的自然語言處理 (NLP)：NLP 的發展為認知 RPA 系統描述了更好的通訊管道。這意味著可以更有效率地完成文件處理、客戶支援和資訊搜尋等任務。
• 對資料機密性的擔憂日益增加：隨著認知 RPA 採用的增加，對資料安全和隱私的擔憂也在增加。這促使公司尋找適當的措施來幫助保護資料安全，以確保遵守資料保護政策。
• 擴展到新的領域：認知 RPA 正在跨越行業邊界，從金融和 IT 到醫療法和供應鏈管理。這一趨勢是由許多業務業務中對自動化日益成長的需求所推動的。

這些趨勢將透過更好地與人工智慧和機器學習整合、提高自然語言處理的複雜性、優先考慮資料隱私、滲透到其他領域以及提高人機互動的複雜性，實現認知 RPA 市場的轉型。在自動化方面，我們提供更先進、更安全、更靈活的解決方案。

認知機器人流程自動化市場最新趨勢

認知 RPA 的最新發展表明技術和利基市場的明顯改善。

• 由 AI 提供支援的認知自動化 由 AI 提供支援的認知自動化擴展了 RPA 系統的功能，以執行更高級的任務，例如預測分析和動態決策。這一演變擴大了可以使用 RPA 工具執行的業務範圍，並提高了 RPA 解決方案的有效性。
• 雲端 RPA 採用：雲端基礎的RPA 解決方案的使用正在迅速擴大。這些部署加強了認知 RPA 解決方案的常識性使用，使組織能夠更快地部署它們並更有效地管理它們。
• 強大的分析整合：高階分析功能和認知 RPA 系統擴大被大量整合。這種合併提供了有關流程性能的更詳細資訊，並有助於在分析相關資訊時做出更好的決策。
• 使用者介面增強：使用者介面增強使認知 RPA 工具更易於使用者使用。改進的介面使 RPA 工作流程的配置和管理變得更加容易，使它們更易於部署和操作。

這些發展正在推動認知 RPA 的普及，包括增強人工智慧功能、採用雲端技術、實現分析整合、最佳化用戶體驗和推動合規性。它們為自動化解決方案提供支持，滿足對效率、靈活性和合規性日益成長的需求。

認知 RPA 市場的策略性成長機會

認知 RPA 市場有多種進一步擴展關鍵應用的機會。

• 客戶服務自動化：將認知 RPA 納入客戶服務流程中，可以使用此類軟體解決方案來降低營運成本，同時實現更快的回應時間和更高的客戶滿意度等成果。如果您有大量客戶互動和詢問，此類應用程式非常適合。
• 最佳化金融服務：認知 RPA 可以透過消除交易流程、欺詐管理和合規分析中的低效率來改善金融服務營運。該應用程式使金融機構能夠更快、更準確地執行複雜的任務。
• 醫療保健管理：在醫療保健環境中，認知 RPA 可用於卸載非臨床業務，例如病患安排、保險申請和醫療記錄管理。該應用程式可以輕鬆提高業務效率，同時簡化醫療管理。
• 供應鏈管理：庫存管理、訂單管理和需求預測是認知 RPA 可以應用於供應鏈流程的一些流程。該應用程式有助於增強供應鏈流程，從而提高整體績效。

這些成長機會也表明，使用認知 RPA 來增強財務部門、醫療保健管理部門、供應鏈管理和人力資源流程下組織的客戶服務的前景。

認知機器人流程自動化市場促進因素與挑戰

認知 RPA 市場有其自身的基礎和限制，無論是技術、經濟或監管。

推動認知機器人流程自動化市場的因素包括：

1. 技術進步：隨著人工智慧和機器學習的不斷發展，認知 RPA 的效用將在其功能和用途方面不斷提高。

2. 對自動化的需求不斷增加：由於人們越來越渴望透過自動化來提高效率、降低成本並做出更好的決策，因此認知 RPA 解決方案在業界得到越來越多的實施。

3.成本效率：認知RPA減少了企業的人事費用，因為手動工作減少了，使流程更易於管理和更具成本效益，並且可以在同一條生產線上重複該流程。這種成本效益仍然是推動組織進行業務流程創新的核心因素之一。

4. 可擴展性和靈活性：認知 RPA 系統的標準（例如雲端基礎的解決方案）正在改變組織客製化和增強自動化功能以滿足其偏好和需求的方式，從而徹底改變自動化市場。

認知機器人流程自動化市場面臨的挑戰是：

1.整合複雜性：認知RPA無法使用大多數已經存在的流程來促進工作，例如使用公司政策。這種複雜性可能會為有效實施帶來障礙。

2.資料安全與隱私保護問題：為認知 RPA 提供靜態檔案資料需要特別注意資料安全和保護。多年來，組織必須考慮這些問題，不僅是為了合規性，也是為了維持信任。

推動認知 RPA 市場的因素有很多，包括技術創新、不斷成長的自動化需求、節省成本的功能、準確性和高效的資源利用。障礙包括整合複雜性、資料安全風險和變更管理。這些因素的結合影響著市場的成長和開拓。

認知機器人流程自動化（按細分市場）

這項研究包括按類型、應用和地區對全球認知機器人過程自動化的預測。

認知機器人流程自動化市場國家展望

認知機器人流程自動化 (RPA) 涉及使用人工智慧和機器學習技術來自動化複雜且需要認知功能（例如決策和理解人類語言）的業務流程。該領域的最新成就需要在不同的大陸上採用。

• 美國：認知 RPA 在美國正在獲得更廣泛的接受，特別是由於人工智慧和機器學習等技術的快速發展。領先的 IT 公司和金融機構正在大力投資認知 RPA 解決方案，以提高效率和服務品質。新產品發布的時機，以及先進分析工具和 NLP 介面的可用性，正在推動客戶對容量自動化的需求不斷成長。
• 中國：由於積極的政府政策以及主要針對人工智慧技術的資金，中國的認知 RPA 發展正在快速發展。這些公司特別針對金融、製造和客戶服務業的自動化流程。業務流程和流程績效管理的資料處理部分也看到了認知 RPA 的需求增加，基礎設施和技術的發展也增強了這項需求。
• 德國：德國在採用認知 RPA 方面進展緩慢，但目前專注於在工業和 ERP（企業資源規劃）活動中實施 RPA（機器人流程自動化）。重點正在轉向使用認知 RPA 來提高生產力並使工廠和物流工作更有效率。由於合規和效率需求，德國公司也在金融服務和合規領域關注此類機會。
• 印度：在印度，認知 RPA 正在 IT 服務和業務流程外包 (BPO) 產業中採用。印度公司部署認知 RPA 來降低成本並增強支援、財務和人力資源職能的服務交付。這種成長的原因是組織內部對此類先進解決方案的需求不斷增加。
• 日本：日本也在轉向認知 RPA 來填補勞動力短缺並提高生產力。這項技術擴大被製造業和服務業採用，以消除體力勞動並自動化決策活動。日本企業也關注資料和客戶管理領域的AI RPA解決方案。

常問問題

Q.1 認知機器人流程自動化的市場規模有多大？

答：到 2030 年，全球認知機器人流程自動化市場預計將達到 113 億美元。

Q.2 認知機器人流程自動化市場的成長預測是多少？

答：2024 年至 2030 年，全球認知機器人流程自動化市場預計將以 11.4% 的複合年成長率成長。

Q.3 影響認知機器人流程自動化市場成長的關鍵促進因素有哪些？

答：該市場的關鍵促進因素是各行業對自動化的需求不斷增加、數位化的快速發展以及電子商務領域的持續成長。

Q4.市場的主要細分市場是什麼？

答：認知機器人流程自動化市場的未來性看起來充滿希望，金融和銀行、通訊和 IT 服務、保險和醫療保健市場都充滿機會。

Q5.市場上主要企業有哪些？

答案：認知機器人流程自動化領域的一些主要企業是：

• Blue Prism
• Automation Anywhere
• IPsoft
• NICE Systems
• UiPath
• Verint System
• Pegasystems
• Kryon Systems
• Kofax
• Thoughtonomy

Q6.未來最大的細分市場是什麼？

答案：Lucintel 預測，隨著越來越多的組織更願意自行部署和管理 CRPA 解決方案，該服務將在預測期內實現強勁成長。

Q7. 未來五年預計哪個地區的市場最大？

答：由於該行業對技術進步的偏好日益增強以及該地區主要參與企業的存在，預計北美在預測期內將出現最高的成長。

Q8. 可以客製化報告嗎？

答：是的，Lucintel 列出了 10% 的客製化服務，無需額外費用。

目錄

第1章執行摘要

第2章全球認知機器人流程自動化市場：市場動態

• 簡介、背景、分類
• 供應鏈
• 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

• 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
• 全球認知機器人流程自動化市場趨勢（2018-2023）與預測（2024-2030）
• 按類型分類的全球認知機器人流程自動化市場
  • 服務
  • 平台
• 全球認知機器人流程自動化市場（按應用）
  • 金融和銀行
  • 通訊和 IT 服務
  • 保險和醫療
  • 其他

第4章 2018-2030年區域市場趨勢及預測分析

• 全球認知機器人流程自動化市場（按地區）
• 北美認知機器人流程自動化市場
• 歐洲認知機器人流程自動化市場
• 亞太認知機器人流程自動化市場
• 其他地區認知機器人流程自動化市場

第5章 競爭分析

• 產品系列分析
• 營運整合
• 波特五力分析

第6章 成長機會與策略分析

• 成長機會分析
  • 全球認知機器人流程自動化市場成長機會（按類型）
  • 全球認知機器人流程自動化市場成長機會（按應用）
  • 全球認知機器人流程自動化市場成長機會（按地區）
• 全球認知機器人流程自動化市場的新興趨勢
• 戰略分析
  • 新產品開發
  • 全球認知機器人流程自動化市場的產能擴張
  • 全球認知機器人流程自動化市場的併購和合資企業
  • 認證和許可

第7章主要企業概況

• Blue Prism
• Automation Anywhere
• IPsoft
• NICE Systems
• UiPath
• Verint System
• Pegasystems
• Kryon Systems
• Kofax
• Thoughtonomy

Cognitive Robotic Process Automation Trends and Forecast

The future of the global cognitive robotic process automation market looks promising with opportunities in the finance and banking, telecom and it services, and insurance and healthcare markets. The global cognitive robotic process automation market is expected to reach an estimated $11.3 billion by 2030 with a CAGR of 11.4% from 2024 to 2030. The major drivers for this market are increasing demand for automation across industries, rapid digitalization, and continual growth in e-commerce sector.

Lucintel forecasts that service is expected to witness higher growth over the forecast period due to its growing preference among organizations to independently implement and manage CRPA solutions.

North America is expected to witness highest growth over the forecast period due to growing preference towards technological advancement among industries and presence of key players in the region.

Emerging Trends in the Cognitive Robotic Process Automation Market

The landscape of the cognitive RPA market continues to change as new trends emerge.

• Integration of AI and ML: There has been an increase in the integration of cognitive RPA Technologies and artificial intelligence or machine learning also known as automation plus artificial intelligence technology. Such amalgamation improves the understanding of RPA systems as it deploys the use of complex data to derive and perform functions, thereby building up automation and decision making.
• Better Natural Language Processing (NLP): NLP evolution is providing better communication channels to the cognitive RPA systems. This means that there is better efficiency in completing tasks that include document processing, customer support, or information retrieval.
• Heightened Concern over Data Confidentiality: As cognitive RPA adoption rises, so do concerns over data security and privacy. With this, the businesses are finding appropriate measures to help in the securing of data further ensuring that they adhere to policies on data protection.
• Incursion into New Sectors: Cognitive RPA has been able to cross the vertical boundaries from the finance & IT industries into the healthcare & legal & supply chain management industries. This trend is propelled by the increasing need for automation in a multitude of business operations.

These trends allow for the transformation of the cognitive RPA market through better integration with AI and ML, upscaling NLP, prioritizing data privacy, penetration into other sectors, and advancing human-robot interaction. They offer more sophisticated, secure, and flexible solutions in terms of automation.

Recent Developments in the Cognitive Robotic Process Automation Market

Trends observed in cognitive RPA in the recent past display clear improvements in technology and the niche market.

• AI-Powered Cognitive Automation: More recent advancements include AI-Powered Cognitive Automation, which extends the capabilities of RPA systems to perform more sophisticated tasks such as predictive analytics and dynamic decision making. This advancement increases the effectiveness of RPA solutions by extending the scope of work that can be carried out using these tools.
• Cloud RPA Adoption: There is rapid growth in the use of cloud-based RPA solutions. Such deployment enhances commonsense use of cognitive RPA solutions that organizations have been able to deploy faster and manage efficiently.
• Robust Analytics Integration: Advanced analytics capabilities and cognitive RPA systems are being embedded together in increasing volumes. This embeddedness provides more particulars regarding process performance and helps to make better decisions regarding analysis of relevant information.
• Enhanced User Interfaces: Enhancements of user interfaces are rendering the cognitive RPA tools friendlier to the users. Improved interfaces make it easier to set up and administer RPA workflows, which make the implementation and the operation easier.

These developments are driving proliferation in the Cognitive RPA as they enhance AI capabilities, adopt cloud technologies, bring forth analytics integration, optimize user experience, and drive compliance. They enhance automation solutions that support the growing need for efficiency, flexibility, and compliance.

Strategic Growth Opportunities for Cognitive Robotic Process Automation Market

The market for Cognitive RPA has multiple opportunities for further expansion for key applications.

• Customer Service Automation: By incorporating cognitive RPA into customer service processes, it is possible to use such software solutions and achieve results like shorter response times and greater customer satisfaction at reduced operational expenditures. Such application is well suited when there is a lot interaction and inquiries from customers.
• Financial Services Optimization: Cognitive RPA can improve the operation of financial services by eliminating inefficiencies in the transaction processes, fraud management and compliance analysis. This applications allows financial institutions to perform complicated tasks in a faster and more accurate manner.
• Healthcare Administration: In healthcare settings, cognitive RPA can be used to offload nonclinical activities like patient scheduling, submitting insurance claims, or managing health records. This application facilitates with enhancing operating efficiency while relieving healthcare administration.
• Supply Chain Management: Inventory management, order management and demand forecasting are some of the processes where cognitive RPA can be applied in supply chain processes. This application assists in the enhancement of the supply chain processes and hence the general performance.

These growth opportunities showcase the prospects of using the cognitive RPA in enhancement of customer services organized under the financial sector, healthcare management sector, supply chain management and HR processes as well.

Cognitive Robotic Process Automation Market Driver and Challenges

The cognitive RPA market has its own set of underpinnings and constraints, be it from the technological, economic, or regulatory perspective.

The factors responsible for driving the cognitive robotic process automation market include:

1. Technological Advancements: As AI and machine learning continues to evolve, the utility of cognitive RPA will only continue improving with regards to what it can do and the uses it can be put to.

2. Increased Demand for Automation: There are more and more Cognitive RPA solutions put in place in industries since the desire to automate for better efficiency, cost reduction and better decision making is on the rise.

3. Cost Efficiency: Within cognitive RPA, processes have more manageable costs due to less manual processes and repetition of processes is also in the same line which cuts the labor costs for the companies. This cost effectiveness remains one of the core factors which drive organizations in reinventing their business processes.

4. Scalability and Flexibility: Standards of cognitive RPA systems such as cloud-based solutions drastically increase the automation market by changing the way organizations customize and enhance automation capabilities to their preference and need as much as necessary is needed.

Challenges in the cognitive robotic process automation market are:

1. Integration Complexity: The cognitive RPA cannot use most of the processes that already exist to make its work easier such as usage of the company policy. Such complexity may present hurdles to its effective uptake.

2. Concerns on Data Security and Privacy Protection: Providing cognitive RPA with calming data on file includes careful attention to securing and protecting data. Over the years, organizations have had to consider these issues to preserve trust as well as compliance.

There are numerous factors that are driving the cognitive RPA market that includes, technological innovation, growth in need for automation, cost saving features, accuracy and better use of resources. Barriers include complexity of integration, data security risks, and change management. A combination of these factors affects the growth and development of the market.

List of Cognitive Robotic Process Automation Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies cognitive robotic process automation companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the cognitive robotic process automation companies profiled in this report include-

• Blue Prism
• Automation Anywhere
• IPsoft
• NICE Systems
• UiPath
• Verint System
• Pegasystems
• Kryon Systems
• Kofax
• Thoughtonomy

Cognitive Robotic Process Automation by Segment

The study includes a forecast for the global cognitive robotic process automation by type, application, and region.

Cognitive Robotic Process Automation Market by Type [Analysis by Value from 2018 to 2030]:

• Services
• Platform

Cognitive Robotic Process Automation Market by Application [Analysis by Value from 2018 to 2030]:

• Finance and Banking
• Telecom and IT Services
• Insurance and Healthcare
• Others

Cognitive Robotic Process Automation Market by Region [Analysis by Value from 2018 to 2030]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the Cognitive Robotic Process Automation Market

Cognitive Robotic Process Automation (RPA) entails the use of AI and machine learning techniques in the automation of business processes that are complex and necessitate cognitive functions such as making decisions and comprehension of human language. Recent achievement in this field calls out for adoption in different continent.

• United States: Cognitive RPA in the U.S. is being more widely accepted, especially due to the rapid development of these technologies of AI and machine learning. Leading IT companies, as well as financial organizations, are making significant investments in cognitive RPA solutions to improve efficiency and the quality of service. New products timing together with the delivery of advanced analytical tools and NLP interfaces brings increased demand for capacity automation at the customers end.
• China: China's development of cognitive RPA is fast-paced primarily due to active government policies coupled with funds directed towards AI technology. In particular, these companies are targeting automation processes in financial, manufacturing and customer service industries. The increasing demand for cognitive RPA is also being experienced in the areas of data processing for business processes and process performance management augmented by infrastructure and technology development.
• Germany: Germany is lagging behind in cognitive RPA but is now focusing on the adoption of robotic process automation (RPA) in the context of industrial and ERP (enterprise resource planning) activities. Focus is shifting towards use of cognitive RPA for productivity improvement and efficient working of plants and logistics. German businesses are also looking at such opportunities in the financial services and compliance sectors due to the compliance and efficiency enhancement needs.
• India: In India, cognitive RPA is being embraced by the IT services and business process outsourcing (BPO) industries. Firms based out of India are embracing cognitive RPA to cut costs and enhance their service delivery in support, finance and HR functions. The growth is backed by the increasing demands for such advanced solutions within the organization.
• Japan: Japan is also looking at cognitive RPA to counterbalance the shortage of workers and increase productivity. This technology is on offer to the manufacturing and service sectors for adoption preferably to eliminate manual labor and automate decision making activities. Japanese companies are also turning towards AI RPA Solutions in data and customer management.

Features of the Global Cognitive Robotic Process Automation Market

Market Size Estimates: Cognitive robotic process automation market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Cognitive robotic process automation market size by type, application, and region in terms of value ($B).

Regional Analysis: Cognitive robotic process automation market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the cognitive robotic process automation market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the cognitive robotic process automation market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

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FAQ

Q.1 What is the cognitive robotic process automation market size?

Answer: The global cognitive robotic process automation market is expected to reach an estimated $11.3 billion by 2030.

Q.2 What is the growth forecast for cognitive robotic process automation market?

Answer: The global cognitive robotic process automation market is expected to grow with a CAGR of 11.4% from 2024 to 2030.

Q.3 What are the major drivers influencing the growth of the cognitive robotic process automation market?

Answer: The major drivers for this market are increasing demand for automation across industries, rapid digitalization, and continual growth in e-commerce sector.

Q4. What are the major segments for cognitive robotic process automation market?

Answer: The future of the cognitive robotic process automation market looks promising with opportunities in the finance and banking, telecom and it services, and insurance and healthcare markets.

Q5. Who are the key cognitive robotic process automation market companies?

Answer: Some of the key cognitive robotic process automation companies are as follows:

• Blue Prism
• Automation Anywhere
• IPsoft
• NICE Systems
• UiPath
• Verint System
• Pegasystems
• Kryon Systems
• Kofax
• Thoughtonomy

Q6. Which cognitive robotic process automation market segment will be the largest in future?

Answer: Lucintel forecasts that service is expected to witness higher growth over the forecast period due to its growing preference among organizations to independently implement and manage CRPA solutions.

Q7. In cognitive robotic process automation market, which region is expected to be the largest in next 5 years?

Answer: North America is expected to witness highest growth over the forecast period due to growing preference towards technological advancement among industries and presence of key players in the region.

Q.8 Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the cognitive robotic process automation market by type (services and platform), application (finance and banking, telecom and IT services, insurance & healthcare, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
• Market Report

Table of Contents

1. Executive Summary

2. Global Cognitive Robotic Process Automation Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

• 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
• 3.2. Global Cognitive Robotic Process Automation Market Trends (2018-2023) and Forecast (2024-2030)
• 3.3: Global Cognitive Robotic Process Automation Market by Type
  • 3.3.1: Services
  • 3.3.2: Platform
• 3.4: Global Cognitive Robotic Process Automation Market by Application
  • 3.4.1: Finance and Banking
  • 3.4.2: Telecom and IT Services
  • 3.4.3: Insurance and Healthcare
  • 3.4.4: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

• 4.1: Global Cognitive Robotic Process Automation Market by Region
• 4.2: North American Cognitive Robotic Process Automation Market
  • 4.2.1: North American Cognitive Robotic Process Automation Market by Type: Services and Platform
  • 4.2.2: North American Cognitive Robotic Process Automation Market by Application: Finance and Banking, Telecom and IT Services, Insurance and Healthcare, and Others
• 4.3: European Cognitive Robotic Process Automation Market
  • 4.3.1: European Cognitive Robotic Process Automation Market by Type: Services and Platform
  • 4.3.2: European Cognitive Robotic Process Automation Market by Application: Finance and Banking, Telecom and IT Services, Insurance and Healthcare, and Others
• 4.4: APAC Cognitive Robotic Process Automation Market
  • 4.4.1: APAC Cognitive Robotic Process Automation Market by Type: Services and Platform
  • 4.4.2: APAC Cognitive Robotic Process Automation Market by Application: Finance and Banking, Telecom and IT Services, Insurance and Healthcare, and Others
• 4.5: ROW Cognitive Robotic Process Automation Market
  • 4.5.1: ROW Cognitive Robotic Process Automation Market by Type: Services and Platform
  • 4.5.2: ROW Cognitive Robotic Process Automation Market by Application: Finance and Banking, Telecom and IT Services, Insurance and Healthcare, and Others

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global Cognitive Robotic Process Automation Market by Type
  • 6.1.2: Growth Opportunities for the Global Cognitive Robotic Process Automation Market by Application
  • 6.1.3: Growth Opportunities for the Global Cognitive Robotic Process Automation Market by Region
• 6.2: Emerging Trends in the Global Cognitive Robotic Process Automation Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global Cognitive Robotic Process Automation Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Cognitive Robotic Process Automation Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: Blue Prism
• 7.2: Automation Anywhere
• 7.3: IPsoft
• 7.4: NICE Systems
• 7.5: UiPath
• 7.6: Verint System
• 7.7: Pegasystems
• 7.8: Kryon Systems
• 7.9: Kofax
• 7.10: Thoughtonomy