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市场调查报告书
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1597225

超自动化市场报告:2030 年趋势、预测与竞争分析

Hyper 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

超自动化趋势和预测

预计到 2030 年,全球超自动化市场将达到 227 亿美元,2024 年至 2030 年复合年增长率为 12.2%。该市场的主要驱动力是全球对机器人流程自动化(RPA)技术的需求迅速增长,对提高业务效率和节省财务的需求不断增加,以及对改善客户体验和个人化服务的需求不断增长。全球超自动化市场的未来看起来充满希望,BFSI、IT/通讯、零售、教育、製造、汽车和医疗保健/生命科学市场充满机会。

  • Lucintel 预测,在组件类别中,硬体在预测期内仍将是最大的细分市场。这是因为自动化解决方案具有多种优势,包括透过扩充性、移动性和适应性来提高製造流程的品质、效率和减少错误。
  • 在最终用途产业类别中,IT 和通讯在预测期内可能仍是最大的细分市场。透过整合机器人流程自动化 (RPA),通讯公司可以简化业务任务,同时透过提供快速、经济高效且高品质的服务来创造永续的收益流。
  • 按地区划分,北美仍是整个预测期内最大的地区。这是由于提高业务效率和降低营运成本的需求日益增长,以及该地区数位化的快速扩张。

超自动化市场的策略性成长机会

随着对业务效率的需求增加,在技术进步的支持下,超级自动化的策略成长机会正在各种应用中出现。此类机会的出现显示了扩展自动化解决方案以满足各种业务需求的巨大潜力。

  • 医疗保健和製药:超自动化为医疗保健和製药行业提供了提高效率的机会。自动化业务、资料管理和合规流程有助于提高这些领域的业务效率并降低成本。
  • 金融服务和业务的采用:金融服务和业务是超自动化的关键成长机会之一。自动化交易监控、合规性和客户服务可促进准确业务并最大限度地减少诈欺,从而提高效率。
  • 製造和供应链整合:製造和供应链管理中的超自动化可以是平滑业务、优化生产流程和更有效管理存量基准的重要一步。新一波的先进自动化技术将提高生产力并提高成本效率。
  • 零售和电子商务的成长:零售和电子商务产业正在利用超级自动化来改善客户体验、管理库存并简化订单处理。自动化解决方案可以确保公司实现更高的效率并减少错误,从而确保更好的客户参与。
  • 政府和公共服务的采用:超自动化透过自动化管理业务以及改善服务交付和资料管理,为政府和公共服务的成长开闢了道路。这些解决方案能够使政府业务更加有效和透明。

随着技术进步和需求普遍增加,超级自动化代表了策略成长机会。在医疗保健、金融服务、製造、零售、政府服务等领域,更广泛的扩张为提高效率和满足多样化需求提供了重要机会。

超自动化市场驱动因素与挑战

超自动化市场驱动因素和挑战包括技术发展、经济因素、监管考量等。

了解所有这些因素对于驾驭市场和利用成长机会至关重要。推动超级自动化市场的因素包括:

  • 人工智慧和机器人技术进步:人工智慧和机器人技术进步:人工智慧和机器人技术框架的技术进步透过传授复杂和智慧解决方案的多种技能来实现系统自动化,从而提高效率和决策制定我们正在进一步推动超自动化增强我们的能力。
  • 对业务效率的需求不断增加:工业对业务效率的需求不断增加,推动了超级自动化的采用。自动化解决方案使公司能够降低成本并简化业务,从而提高生产力。
  • 扩展云端基础的解决方案:云端基础的自动化解决方案的进步提供了扩充性、灵活且经济高效的选项。云端技术使部署和管理自动化系统成为可能,使其可供更广泛的组织使用。
  • 专注于资料主导的决策:资料主导的决策是超自动化的关键驱动因素之一。自动化系统提供先进的分析和即时洞察,帮助组织做出更明智的策略决策。
  • 自动化以及与现有系统的整合:自动化与现有系统无缝整合的需求也是关键驱动因素。良好的整合可以提高自动化解决方案许多方面的整体效率,并支援跨不同技术的无缝操作。

超自动化市场面临的挑战是:

  • 初始投资成本高昂:虽然超级自动化解决方案可能被证明是一种高效率的干预措施,但实施成本可能成为中小型企业的障碍。市场采用通常受到先进技术和基础设施方面高额前期投资的影响。
  • 整合和实施复杂性:与现有系统和流程的复杂整合被认为是实施超自动化解决方案的主要挑战之一。企业可以在多种平台上运行应用程序,这使得调整和迁移到新的自动化技术变得困难。
  • 安全和隐私问题:自动化系统处理高度敏感的资料,需要强而有力的安全和隐私措施。因此,企业必须确保遵守法规要求以及适当的高阶安全系统来保护资料。

目录

第一章执行摘要

第二章全球超自动化市场: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)
  • 全球超自动化市场趋势(2018-2023)与预测(2024-2030)
  • 按组成:全球超自动化市场
    • 硬体
    • 软体
    • 服务
  • 按技术划分:全球超自动化市场
    • 机器人流程自动化 (RPA)
    • 生物识别
    • 自然学习世代
    • 上下文感知计算
    • 聊天机器人
    • 机器学习
    • 其他技术
  • 按功能划分:全球超自动化市场
    • 行销和销售
    • 财务/会计
    • 人力资源(HR)
    • 营运和供应链
    • 资讯科技(IT)
  • 按最终用途行业分類的全球超自动化市场
    • BFSI
    • 资讯科技和通讯
    • 零售
    • 教育
    • 製造业
    • 医疗保健和生命科学
    • 其他的

第四章 2018-2030年区域市场趋势及预测分析

  • 按地区分類的全球超自动化市场
  • 北美超自动化市场
  • 欧洲超自动化市场
  • 亚太超自动化市场
  • 其他区域超自动化市场

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
    • 按组成部分:全球超自动化市场成长机会
    • 按技术划分:全球超自动化市场成长机会
    • 按功能:全球超自动化市场成长机会
    • 按最终用途行业分類的全球超自动化市场的成长机会:
    • 按地区划分:全球超自动化市场成长机会
  • 全球超自动化市场的新兴趋势
  • 战略分析
    • 新产品开发
    • 全球超自动化市场的产能扩张
    • 全球超级自动化市场的合併、收购和合资企业
    • 认证和许可

第七章主要企业概况

  • ALTERYX
  • SolveXia
  • Mitsubishi Electric Corporation
  • Catalytic Company
  • Automation Anywhere
  • Tata Consultancy Services
  • Wipro
  • Honeywell International
  • OneGlobe
  • Allerin Tech
简介目录

Hyper Automation Trends and Forecast

The future of the global hyper-automation market looks promising with opportunities in the BFSI, IT & telecom, retail, education, manufacturing, automotive, and healthcare & life science markets. The global hyper-automation market is expected to reach an estimated $22.7 billion by 2030 with a CAGR of 12.2% from 2024 to 2030. The major drivers for this market are a surge in demand for robotic process automation (RPA) technology worldwide, increasing demand for enhanced operational effectiveness and financial savings, and rising demand for improved customer experience and personalized services.

  • Lucintel forecasts that, within the component category, the hardware will remain the largest segment over the forecast period because the automation solutions provide various advantages, such as heightened quality, efficiency, and error reduction in manufacturing processes owing to their expandability, mobility, and adaptability.
  • Within the end-use industry category, IT & telecom will remain the largest segment over the forecast period as integrating robotic process automation (RPA) assists telecom companies in streamlining operational tasks and concurrently establishing sustainable revenue streams by giving fast, cost-effective, and high-quality services.
  • In terms of region, North America will remain the largest region over the forecast period due to the growing need for enhanced operational efficiency, reduced business operating expenses, and the rapid expansion of digitization in this region.

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Emerging Trends in the Hyper Automation Market

In the hyper-automation market, certain emergent trends prevail owing to the changing needs of businesses and the consequent technology upgrade. These include growing integrations of AI, robotics, and data analytics for effective operational efficiency and decision-making processes.

  • AI and Machine Learning Integration: With the integration of AI and machine learning into hyper-automation systems, the analysis of complex data, intelligent decision-making, and adaptation to changing conditions are strengthened. This, in turn, results in increased accuracy and efficiency in automated processes.
  • Evolution of Robotic Process Automation: RPA is advancing to the next level with more advanced functionalities such as cognitive functions and decision-making support. This enables a broader range of complex tasks to be carried out with greater ease, assimilating other automation technologies to bring about greater efficiency.
  • Rise of Intelligent Automation Platforms: Intelligent automation platforms combine RPA, AI, and analytics to provide holistic value propositions. These platforms enable end-to-end automation, enhanced workflow management, and better insights from data, serving overall efficiency across most business functions.
  • Focus on Process Mining and Analytics: Process mining and analytics play a vital role in optimizing automated processes. An organization can view data emanating from the automation of systems, identify areas where efficiency is lacking, and develop ways to optimize workflows, making informed decisions using insights derived from data.
  • High Importance of Security and Compliance: With the increased integration of automation technologies, security and compliance issues have come into focus. Providing appropriate security measures and compliance frameworks is essential for sensitive data protection and adherence to regulatory standards.

The trends in hyper-automation are therefore emerging. These include AI integration, advanced RPA, intelligent automation platforms, process mining, and advanced security. Driving at the core are efficiency, accuracy, and compliance; hence, these trends reshape the landscape. These trends point toward a movement that is inching toward sophisticated and integrated solutions in automation.

Recent Developments in the Hyper Automation Market

Key developments in hyper-automation reflect growth in technology and its induction within industries. These changes are further facilitating efficiency, enabling more sophisticated forms of automation, and driving the infusion of advanced technologies in various business processes.

  • Development of AI-driven Automation Tools: With the advent of AI-driven automation, the very concept of hyper-automation has changed. Here, systems perform complex tasks, make informed decisions based on data analysis, and learn from patterns. This feature further advances the capabilities of automation solutions and their scope of application.
  • Advancements in Robotic Process Automation: Recent developments in RPA involve the incorporation of a range of cognitive skills with added advanced analytics. With this enhancement, RPA systems can operate more complex processes than earlier, raising the bar for improved efficiency and becoming suitable for wider business functions.
  • Growth of Intelligent Automation Platforms: There is increasing adoption of intelligent automation platforms integrated with RPA, AI, and machine learning. Such platforms provide holistic automation solutions, smooth workflows, and much-needed insights through advanced data analytics, which in turn drives operational efficiency.
  • Growing Adoption of Cloud-Based Automation Solutions: The adoption of cloud-based automation solutions is becoming mainstream, offering scalability, flexibility, and economic viability. This trend facilitates easier adoption and management of automation technologies for organizations, consequently allowing them to support remote operations and dynamic business needs.
  • Increased Integration and Interoperability Emphasis: As automation solutions increasingly integrate with prevailing systems, so does the drive for interoperability. This advancement assures smooth data flow and coordination across a variety of technologies to enhance overall process efficiency and effectiveness.

Recent developments in the hyper-automation market come with increased AI capabilities, RPA, intelligent automation platforms, and cloud adoption. This leads to much better efficiency, flexibility, and integration of automation solutions.

Strategic Growth Opportunities for Hyper Automation Market

The demand for operational efficiency has been increasing; hence, there have been emerging strategic growth opportunities for hyper-automation across different applications, supported by technological advancements. The emergence of these opportunities indicates great potential for expanding automation solutions to fulfill various business needs.

  • Healthcare and Pharmaceuticals: Hyper-automation holds opportunities to improve efficiency in the healthcare and pharmaceutical industries. Automation of administrative work, data management, and compliance processes would prove beneficial for improving operational efficiency and reducing costs in those sectors.
  • Adoption in Financial Services and Banking: Financial services and banking are among the main growth opportunities for hyper-automation. Automation in monitoring transactions, compliance, and customer services will facilitate accuracy with minimal fraud, thereby improving efficiency.
  • Manufacturing and Supply Chain Integration: Hyper-automation in manufacturing and supply chain management could be a great step in smoothing operations, optimizing the production process, and managing inventory levels more efficiently. These new waves of advanced automation technologies will increase productivity and be more cost-effective.
  • Growth of Retail and E-commerce: Retail and e-commerce industries are using hyper-automation for improved customer experiences, inventory management, and order fulfillment streamlining. Automation solutions can guarantee that companies achieve greater efficiency, with reduced errors to ensure better customer engagement.
  • Implementation in Government and Public Services: Hyper-automation opens up avenues for growth in government and public services by automating administrative tasks and improving service delivery and data management. These solutions have the capability to make government operations much more effective and transparent.

As technology advances and demand generally grows, hyper-automation realizes strategic growth opportunities. What brings substantial opportunities for efficiency and the ability to meet diverse needs are more extensive expansions in healthcare, financial services, manufacturing, retail, and government services.

Hyper Automation Market Driver and Challenges

The driving factors and challenges include technology development, economic factors, and considerations taken up by regulatory bodies in the hyper-automation market.

Understanding all these elements is crucial for navigating the market and leveraging growth opportunities. The factors responsible for driving the hyper-automation market include:

  • Technological Advancements in AI and Robotics: Innovations within the frameworks of AI and robotics have given further impetus for hyper-automation because they enhance the capability of automation systems by granting them multi-skills for complex and intelligent solutions that raise efficiency and decision-making.
  • Growing Demand for Operational Efficiency: The rising industrial demand for operational efficiency is responsible for the ever-increasing adoption of hyper-automation. Automation solutions allow organizations to save on costs and streamline operations, adding to better productivity returns.
  • Expansion of Cloud-Based Solutions: Advancements in cloud-based automation solutions offer scalable, flexible, and cost-effective options. Cloud technologies enable the deployment and management of automation systems, thereby increasing access for a wider range of organizations.
  • Focus on Data-Driven Decision Making: Data-driven decision-making is one of the primary drivers of hyper-automation. Advanced analytics and real-time insights provided by automation systems help organizations make more informed and strategic decisions.
  • Automation and Integration with Existing Systems: The need to seamlessly integrate automation with existing systems is another key driver. Good integration enhances various aspects of the overall efficiency of the automation solution and supports seamless operations across a diverse set of technologies.

Challenges in the hyper-automation market are:

  • High Initial Investment Costs: While hyper-automation solutions may prove to be a very effective intervention, the cost of implementation can be a barrier for small and medium-sized enterprises. Generally, high upfront investments in advanced technologies and infrastructure affect market adoption.
  • Complexity of Integration and Implementation: Complex integration with existing systems and processes is considered one of the major challenges in implementing hyper-automation solutions. There are many different platforms on which companies can run their applications, making adjustments and handling the transition to new automation technologies difficult.
  • Security and Privacy Concerns: Automation systems deal with very sensitive data and, therefore, require robust security and privacy measures. This calls for organizations to ensure that proper advanced security systems are in place to protect data, along with compliance with regulatory requirements.

The major drivers and challenges highlight the need for technological innovation, cost management, and security in hyper-automation. Driving factors include AI advancements, cloud solutions, and data analytics, while major challenges arise from high costs, integration complexities, and security concerns. Understanding these elements helps navigate the landscape of hyper-automation.

List of Hyper 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. Through these strategies hyper automation companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the hyper automation companies profiled in this report include-

  • ALTERYX
  • SolveXia
  • Mitsubishi Electric Corporation
  • Catalytic Company
  • Automation Anywhere
  • Tata Consultancy Services
  • Wipro
  • Honeywell International
  • OneGlobe
  • Allerin Tech

Hyper Automation by Segment

The study includes a forecast for the global hyper automation by component, technology, function, end use industry, and region.

Hyper Automation Market by Component [Analysis by Value from 2018 to 2030]:

  • Hardware
  • Software
  • Services

Hyper Automation Market by Technology [Analysis by Value from 2018 to 2030]:

  • Robotic Process Automation (RPA)
  • Biometrics
  • Natural Learning Generation
  • Context-Aware Computing
  • Chatbots
  • Machine Learning
  • Other Technologies

Hyper Automation Market by Function [Analysis by Value from 2018 to 2030]:

  • Marketing & Sales
  • Finance & Accounting
  • Human Resources (HR)
  • Operations & Supply Chain
  • Information Technology (IT)

Hyper Automation Market by End Use Industry [Analysis by Value from 2018 to 2030]:

  • BFSI
  • IT & Telecom
  • Retail
  • Education
  • Manufacturing
  • Automotive
  • Healthcare & Life Science
  • Others

Hyper 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 Hyper Automation Market

Major players in the market are expanding their operations and forming strategic partnerships to strengthen their positions. The image below highlights recent developments by major hyper-automation producers in key regions: the USA, China, India, Japan, and Germany

  • United States: In the U.S., hyper-automation is realized through significant advancements in the integration of AI and machine learning in business operations. Companies are adopting comprehensive automation platforms that combine RPA with cognitive technologies in an effort to optimize workflows and make better data-driven decisions.
  • China: China is promoting hyper-automation by investing heavily in the manufacturing and service sectors with AI and robotics. Recent deployments include intelligent automation systems that improve efficiency and quality control in production, along with strong initiatives by the government and funding.
  • Germany: Automation in Germany is hyper-focused on improving industrial processes with advanced robotics and AI. The adoption of Industry 4.0 technologies allows for the analytics of real-time data and the autonomous operation of systems, driving greater efficiency and innovation in manufacturing.
  • India: In India, the hyper-automation market is growing due to higher adoption of RPA and AI-driven solutions across various industries. Companies are leveraging these technologies to streamline business processes, reduce operational costs, and provide scalability to fast-growing industries such as IT and telecommunications.
  • Japan: Japan has the potential to be the front-runner in integrating AI, IoT, and hyper-automation technologies. With a strong emphasis on technological innovations, especially in smart factory concepts, recent advancements in automation solutions for the manufacturing and logistics industries are emerging.

Features of the Global Hyper Automation Market

Market Size Estimates: Hyper 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: Hyper automation market size by component, technology, function, and region in terms of value ($B).

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

Growth Opportunities: Analysis of growth opportunities in different components, technologies, functions, and regions for the hyper automation market.

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

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

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This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the hyper automation market by component (hardware, software, and services), technology (robotic process automation (RPA), biometrics, natural learning generation, context-aware computing, chatbots, machine learning, and other technologies), function (marketing & sales, finance & accounting, human resources (HR), operations & supply chain, and information technology (IT)), end use industry (BFSI, IT & telecom, retail, education, manufacturing, automotive, healthcare & life science, 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 Hyper 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 Hyper Automation Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Global Hyper Automation Market by Component
    • 3.3.1: Hardware
    • 3.3.2: Software
    • 3.3.3: Services
  • 3.4: Global Hyper Automation Market by Technology
    • 3.4.1: Robotic Process Automation (RPA)
    • 3.4.2: Biometrics
    • 3.4.3: Natural Learning Generation
    • 3.4.4: Context-Aware Computing
    • 3.4.5: Chatbots
    • 3.4.6: Machine Learning
    • 3.4.7: Other Technologies
  • 3.5: Global Hyper Automation Market by Function
    • 3.5.1: Marketing & Sales
    • 3.5.2: Finance & Accounting
    • 3.5.3: Human Resources (HR)
    • 3.5.4: Operations & Supply Chain
    • 3.5.5: Information Technology (IT)
  • 3.6: Global Hyper Automation Market by End Use Industry
    • 3.6.1: BFSI
    • 3.6.2: IT & Telecom
    • 3.6.3: Retail
    • 3.6.4: Education
    • 3.6.5: Manufacturing
    • 3.6.6: Automotive
    • 3.6.7: Healthcare & Life Science
    • 3.6.8: Others

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

  • 4.1: Global Hyper Automation Market by Region
  • 4.2: North American Hyper Automation Market
    • 4.2.1: North American Hyper Automation Market by Component: Hardware, Software, and Services
    • 4.2.2: North American Hyper Automation Market by End Use Industry: BFSI, IT & Telecom, Retail, Education, Manufacturing, Automotive, Healthcare & Life Science, and Others
  • 4.3: European Hyper Automation Market
    • 4.3.1: European Hyper Automation Market by Component: Hardware, Software, and Services
    • 4.3.2: European Hyper Automation Market by End Use Industry: BFSI, IT & Telecom, Retail, Education, Manufacturing, Automotive, Healthcare & Life Science, and Others
  • 4.4: APAC Hyper Automation Market
    • 4.4.1: APAC Hyper Automation Market by Component: Hardware, Software, and Services
    • 4.4.2: APAC Hyper Automation Market by End Use Industry: BFSI, IT & Telecom, Retail, Education, Manufacturing, Automotive, Healthcare & Life Science, and Others
  • 4.5: ROW Hyper Automation Market
    • 4.5.1: ROW Hyper Automation Market by Component: Hardware, Software, and Services
    • 4.5.2: ROW Hyper Automation Market by End Use Industry: BFSI, IT & Telecom, Retail, Education, Manufacturing, Automotive, Healthcare & Life Science, 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 Hyper Automation Market by Component
    • 6.1.2: Growth Opportunities for the Global Hyper Automation Market by Technology
    • 6.1.3: Growth Opportunities for the Global Hyper Automation Market by Function
    • 6.1.4: Growth Opportunities for the Global Hyper Automation Market by End Use Industry
    • 6.1.5: Growth Opportunities for the Global Hyper Automation Market by Region
  • 6.2: Emerging Trends in the Global Hyper Automation Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global Hyper Automation Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Hyper Automation Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: ALTERYX
  • 7.2: SolveXia
  • 7.3: Mitsubishi Electric Corporation
  • 7.4: Catalytic Company
  • 7.5: Automation Anywhere
  • 7.6: Tata Consultancy Services
  • 7.7: Wipro
  • 7.8: Honeywell International
  • 7.9: OneGlobe
  • 7.10: Allerin Tech