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市场调查报告书
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认知机器人流程自动化市场报告：2030 年趋势、预测与竞争分析

Cognitive Robotic Process Automation Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3个工作天内

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简介目录

认知机器人流程自动化趋势与预测

到 2030 年，全球认知机器人流程自动化 (RPA) 市场预计将达到 113 亿美元，2024 年至 2030 年复合年增长率为 11.4%。该市场的主要驱动力是各行业对自动化的需求不断增加、数位化的快速发展以及电子商务领域的持续成长。全球认知机器人流程自动化市场的未来性充满希望，金融和银行、电信和 IT 服务、保险和医疗保健市场都充满机会。

Lucintel 预测，随着越来越多的公司更愿意实施和管理自己的 CRPA 解决方案，该服务将在预测期内实现强劲成长。

由于对该行业技术进步的日益偏好以及该地区主要参与企业的存在，预计北美在预测期内将出现最高的增长。

认知 RPA 市场趋势

随着新趋势的出现，认知 RPA 市场格局不断变化。

  • 人工智慧和机器学习的整合：认知 RPA 技术与人工智慧或机器学习的整合越来越多，也称为自动化加人工智慧技术。此类整合使用复杂的资料来派生和执行功能，建立自动化和决策，并提高对 RPA 系统的理解。
  • 更好的自然语言处理 (NLP)：NLP 的发展为认知 RPA 系统描述了更好的通讯管道。这意味着可以更有效率地完成文件处理、客户支援和资讯搜寻等任务。
  • 对资料机密性的担忧日益增加：随着认知 RPA 采用的增加，对资料安全和隐私的担忧也在增加。这促使公司寻找适当的措施来帮助保护资料安全，以确保遵守资料保护政策。
  • 扩展到新的领域：认知 RPA 正在跨越行业边界，从金融和 IT 到医疗法和供应链管理。这一趋势是由许多业务业务中对自动化日益增长的需求所推动的。

这些趋势将透过更好地与人工智慧和机器学习整合、提高自然语言处理的复杂性、优先考虑资料隐私、渗透到其他领域以及提高人机互动的复杂性，实现认知 RPA 市场的转型。在自动化方面，我们提供更先进、更安全、更灵活的解决方案。

认知机器人流程自动化市场最新趋势

认知 RPA 的最新发展表明技术和利基市场的明显改善。

  • 由 AI 提供支援的认知自动化 由 AI 提供支援的认知自动化扩展了 RPA 系统的功能，以执行更高级的任务，例如预测分析和动态决策。这一演变扩大了可以使用 RPA 工具执行的业务范围，并提高了 RPA 解决方案的有效性。
  • 云端 RPA 采用：云端基础的RPA 解决方案的使用正在迅速扩大。这些部署加强了认知 RPA 解决方案的常识性使用，使组织能够更快地部署它们并更有效地管理它们。
  • 强大的分析整合：高阶分析功能和认知 RPA 系统越来越多地被大量整合。这种合併提供了有关流程性能的更详细信息，并有助于在分析相关资讯时做出更好的决策。
  • 使用者介面增强：使用者介面增强使认知 RPA 工具更易于使用者使用。改进的介面使 RPA 工作流程的配置和管理变得更加容易，使它们更易于部署和操作。

这些发展正在推动认知 RPA 的普及，包括增强人工智慧功能、采用云端技术、实现分析整合、优化用户体验和推动合规性。它们为自动化解决方案提供支持，满足对效率、灵活性和合规性日益增长的需求。

认知 RPA 市场的策略性成长机会

认知 RPA 市场有多种进一步扩展关键应用的机会。

  • 客户服务自动化：将认知 RPA 纳入客户服务流程中，可以使用此类软体解决方案来降低营运成本，同时实现更快的回应时间和更高的客户满意度等成果。如果您有大量客户互动和询问，此类应用程式非常适合。
  • 优化金融服务：认知 RPA 可以透过消除交易流程、欺诈管理和合规分析中的低效率来改善金融服务营运。该应用程式使金融机构能够更快、更准确地执行复杂的任务。
  • 医疗保健管理：在医疗保健环境中，认知 RPA 可用于卸载非临床业务，例如病患安排、保险申请和医疗记录管理。该应用程式可以轻鬆提高业务效率，同时简化医疗管理。
  • 供应链管理：库存管理、订单管理和需求预测是认知 RPA 可以应用于供应链流程的一些流程。该应用程式有助于增强供应链流程，从而提高整体绩效。

这些成长机会也表明，使用认知 RPA 来增强财务部门、医疗保健管理部门、供应链管理和人力资源流程下组织的客户服务的前景。

认知机器人流程自动化市场驱动因素与挑战

认知 RPA 市场有其自身的基础和限制，无论是技术、经济或监管。

推动认知机器人流程自动化市场的因素包括：

1. 技术进步：随着人工智慧和机器学习的不断发展，认知 RPA 的效用将在其功能和用途方面不断提高。

2. 对自动化的需求不断增加：由于人们越来越渴望透过自动化来提高效率、降低成本并做出更好的决策，因此认知 RPA 解决方案在业界得到越来越多的实施。

3.成本效率：认知RPA减少了企业的人事费用，因为手动工作减少了，使流程更易于管理和更具成本效益，并且可以在同一条生产线上重复该流程。这种成本效益仍然是推动组织进行业务流程创新的核心因素之一。

4. 可扩展性和灵活性：认知 RPA 系统的标准（例如云端基础的解决方案）正在改变组织客製化和增强自动化功能以满足其偏好和需求的方式，从而彻底改变自动化市场。

认知机器人流程自动化市场面临的挑战是：

1.整合复杂性：认知RPA无法使用大多数已经存在的流程来促进工作，例如使用公司政策。这种复杂性可能会为有效实施带来障碍。

2.资料安全与隐私保护问题：为认知 RPA 提供静态檔案资料需要特别注意资料安全和保护。多年来，组织必须考虑这些问题，不仅是为了合规性，也是为了维持信任。

推动认知 RPA 市场的因素有很多，包括技术创新、不断增长的自动化需求、节省成本的功能、准确性和高效的资源利用。障碍包括整合复杂性、资料安全风险和变更管理。这些因素的结合影响着市场的成长和开拓。

认知机器人流程自动化（按细分市场）

这项研究包括按类型、应用和地区对全球认知机器人过程自动化的预测。

认知机器人流程自动化市场国家展望

认知机器人流程自动化 (RPA) 涉及使用人工智慧和机器学习技术来自动化复杂且需要认知功能（例如决策和理解人类语言）的业务流程。该领域的最新成就需要在不同的大陆上采用。

  • 美国：认知 RPA 在美国正在获得更广泛的接受，特别是由于人工智慧和机器学习等技术的快速发展。领先的 IT 公司和金融机构正在大力投资认知 RPA 解决方案，以提高效率和服务品质。新产品发布的时机，以及先进分析工具和 NLP 介面的可用性，正在推动客户对容量自动化的需求不断增长。
  • 中国：由于积极的政府政策以及主要针对人工智慧技术的资金，中国的认知 RPA 发展正在快速发展。这些公司特别针对金融、製造和客户服务业的自动化流程。业务流程和流程绩效管理的资料处理部分也看到了认知 RPA 的需求增加，基础设施和技术的发展也增强了这项需求。
  • 德国：德国在采用认知 RPA 方面进展缓慢，但目前专注于在工业和 ERP（企业资源规划）活动中实施 RPA（机器人流程自动化）。重点正在转向使用认知 RPA 来提高生产力并使工厂和物流工作更有效率。由于合规和效率需求，德国公司也在金融服务和合规领域关注此类机会。
  • 印度：在印度，认知 RPA 正在 IT 服务和业务流程外包 (BPO) 产业中采用。印度公司部署认知 RPA 来降低成本并增强支援、财务和人力资源职能的服务交付。这种成长的原因是组织内部对此类先进解决方案的需求不断增加。
  • 日本：日本也在转向认知 RPA 来填补劳动力短缺并提高生产力。这项技术越来越多地被製造业和服务业采用，以消除体力劳动并自动化决策活动。日本企业也关注资料和客户管理领域的AI RPA解决方案。

常问问题

Q.1 认知机器人流程自动化的市场规模有多大？

答：到 2030 年，全球认知机器人流程自动化市场预计将达到 113 亿美元。

Q.2 认知机器人流程自动化市场的成长预测是多少？

答：2024 年至 2030 年，全球认知机器人流程自动化市场预计将以 11.4% 的复合年增长率成长。

Q.3 影响认知机器人流程自动化市场成长的关键驱动因素有哪些？

答：该市场的关键驱动因素是各行业对自动化的需求不断增加、数位化的快速发展以及电子商务领域的持续成长。

Q4.市场的主要细分市场是什么？

答：认知机器人流程自动化市场的未来性看起来充满希望，金融和银行、通讯和 IT 服务、保险和医疗保健市场都充满机会。

Q5.市场上主要企业有哪些？

答案：认知机器人流程自动化领域的一些主要企业是：

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

Q6.未来最大的细分市场是什么？

答案：Lucintel 预测，随着越来越多的组织更愿意自行部署和管理 CRPA 解决方案，该服务将在预测期内实现强劲成长。

Q7. 未来五年预计哪个地区的市场最大？

答：由于该行业对技术进步的偏好日益增强以及该地区主要参与企业的存在，预计北美在预测期内将出现最高的增长。

Q8. 可以客製化报告吗？

答：是的，Lucintel 列出了 10% 的客製化服务，无需额外费用。

目录

第一章执行摘要

第二章全球认知机器人流程自动化市场：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业驱动因素与挑战

第三章 2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球认知机器人流程自动化市场趋势（2018-2023）与预测（2024-2030）
  • 按类型分類的全球认知机器人流程自动化市场
    • 服务
    • 平台
  • 全球认知机器人流程自动化市场（按应用）
    • 金融和银行
    • 通讯和 IT 服务
    • 保险和医疗
    • 其他的

第四章 2018-2030年区域市场趋势及预测分析

  • 全球认知机器人流程自动化市场（按地区）
  • 北美认知机器人流程自动化市场
  • 欧洲认知机器人流程自动化市场
  • 亚太认知机器人流程自动化市场
  • 其他地区认知机器人流程自动化市场

第五章 竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第六章 成长机会与策略分析

  • 成长机会分析
    • 全球认知机器人流程自动化市场成长机会（按类型）
    • 全球认知机器人流程自动化市场成长机会（按应用）
    • 全球认知机器人流程自动化市场成长机会（按地区）
  • 全球认知机器人流程自动化市场的新兴趋势
  • 战略分析
    • 新产品开发
    • 全球认知机器人流程自动化市场的产能扩张
    • 全球认知机器人流程自动化市场的併购和合资企业
    • 认证和许可

第七章主要企业概况

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

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.

If you are looking to expand your business in this market or adjacent markets, then contact us. We have done hundreds of strategic consulting projects in market entry, opportunity screening, due diligence, supply chain analysis, M & A, and more.

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