查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1715799

超自动化市场按组件、应用、部署模型、最终用途和组织规模划分－2025 年至 2030 年全球预测

Hyperautomation Market by Component, Application, Deployment Model, End-Use, Organization Size - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 185 Pages | 商品交期: 最快1-2个工作天内

价格

※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

超自动化市场预计在 2024 年达到 124.7 亿美元，在 2025 年达到 151.9 亿美元，复合年增长率为 22.47%，到 2030 年达到 421 亿美元。

主要市场统计数据
基准年2024年 124.7亿美元
预计2025年 151.9亿美元
预测年份 2030 421亿美元
复合年增长率（%） 22.47%

在当今快速发展的商业环境中，超自动化的出现正在彻底改变组织进行数位转型的方式。这个新时代的特点是先进技术的无缝集成，这些技术可以提高效率、优化流程并促进各行各业的创新思维。超自动化超越了传统自动化，结合了人工智慧、机器学习和机器人流程自动化，创建了重新定义业务策略的端到端解决方案。

透过简化工作流程并利用数据驱动的洞察力，企业现在能够做出更快、更明智的决策。为了应对数位互联世界的挑战和机会，超自动化提供了提高生产力和永续竞争优势的途径。认知技术与现有流程的整合不仅改变了任务的执行方式，也重塑了更广泛的商业生态系统。

利用这项技术，组织可以打破孤岛，减少人工干预，并加快创新步伐。这种创新方法有望在性能和敏捷性方面实现显着的改进，使其成为具有前瞻性思维的企业在日益复杂的市场环境中确保其营运面向未来的重要策略。

改变超自动化市场

超自动化的发展以几次重新定义技术格局的变革性转变为特征。最重要的变化之一是从孤立的自动化工作转向更具凝聚力的企业范围策略，将各种技术解决方案整合到无缝系统中。企业现在采取一种将认知能力与智慧自动化结合的整体方法来应对复杂的业务挑战。

技术进步为曾经被认为是未来主义的创新铺平了道路。现代超自动化平台结合了进阶分析、自然语言处理和即时监控，共同优化流程并提供可行的见解。这些多样化技术的整合不仅有助于更快地做出决策，还能提高关键业务任务的执行率。

此外，组织在接受这些技术进步时也见证了文化的转变。决策者和产业领导者越来越注重利用超自动化来推动端到端转型、减少业务瓶颈并改善客户体验。该领域的快速变化需要不断重新评估和调整策略，以确保超自动化的优势在组织的各个层面得到充分实现。

关键细分市场洞察：超自动化中的各种驱动因素​​和差异化因素

要理解超自动化的复杂性，需要全面了解推动其采用和成长的市场区隔。该领域的分析是多方面的。例如，基于组件的细分可能会区分服务和软体，其中服务进一步分为咨询、实施以及支援和维护。该框架揭示了组织如何将超自动化整合到现有系统中并根据其特定需求进行客製化。

此外，基于应用程式的细分揭示了超自动化影响最大的领域。各行各业都在广泛的领域利用这项技术，包括会计自动化、聊天机器人、客户关係管理、反馈自动化、发票处理、潜在客户开发、工资自动化、招聘自动化、供应链管理等等。每个应用领域都呈现出独特的机会和挑战，凸显了超自动化的多功能性和适应性。

此外，仔细观察部署模型的细分，可以发现云端基础的解决方案和内部设定之间存在明显的二分法。虽然云端基础的部署提供了扩充性和易于整合的特性，但内部部署解决方案仍然受到具有特定安全性和监管要求的组织的青睐。最终用途细分透过评估汽车、银行、金融服务和保险、建筑、能源和公共、医疗保健、IT 和通讯、製造、零售和电子商务以及通讯行业垂直领域进一步对市场进行分类，表明采用模式广泛且多样化。最后，根据大型、中型和小型企业的组织规模进行细分，凸显了超自动化计画在不同业务规模中的普遍吸引力和适用性。

目录

第一章 引言

第二章调查方法

第三章执行摘要

第四章 市场概述

第五章 市场洞察

  • 市场动态
    • 驱动程式
      • 各行各业对效率和生产力的需求不断增加
      • 人工智慧和机器学习技术的进步
      • 政府推出支持性倡议，推动全球各产业数位化与智慧工作流程
    • 限制因素
      • 实施超自动化技术需要较高的初始投资成本
    • 机会
      • 持续开发针对特定产业需求的超自动化解决方案
      • 将超自动化融入医疗保健领域，实现病患资料管理与业务效率
    • 任务
      • 超自动化流程的严格监管障碍和合规要求
  • 市场区隔分析
    • 组件：使用者越来越多地转向用户友好、相容且具有高级功能的软体。
    • 最终用途：扩大超自动化在製造业的应用
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社会
    • 技术的
    • 合法的
    • 环境

第六章 超自动化市场（按组件）

  • 服务
    • 咨询服务
    • 实施服务
    • 支援和维护
  • 软体

第七章 超自动化市场（按应用）

  • 会计自动化
  • 聊天机器人
  • 客户关係管理
  • 回馈自动化
  • 发票处理
  • 潜在客户开发
  • 薪资核算自动化
  • 招募自动化
  • 供应链管理

第 8 章 超自动化市场（依部署模式）

  • 云端基础
  • 本地

第九章 超自动化市场（以最终用途划分）

  • 车
  • 银行、金融服务和保险
  • 建造
  • 能源与公共产业
  • 卫生保健
  • 资讯科技和通讯
  • 製造业
  • 零售与电子商务
  • 通讯

第 10 章 超自动化市场（依组织规模）

  • 大型企业
  • 中型企业
  • 中小型企业

第 11 章：美洲超自动化市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第 12 章：亚太超自动化市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第 13 章欧洲、中东和非洲超自动化市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十四章竞争格局

  • 2024年市场占有率分析
  • 2024年FPNV定位矩阵
  • 竞争情境分析
  • 战略分析与建议

公司名单

  • Aisera, Inc.
  • Appian Corporation Inc
  • Automation Anywhere, Inc.
  • AutomationEdge Pvt. Ltd.
  • Box, Inc.
  • Celonis GmbH
  • Ciphix BV
  • ElectroNeek Robotics Inc.
  • Fortra, LLC
  • Google LLC by Alphabet Inc.
  • Hypatos GmbH
  • Hyper Labs, Inc.
  • Iberdrola, SA
  • Infosys Limited
  • International Business Machines Corporation
  • Microsoft Corporation
  • Nintex Global Ltd.
  • Oracle Corporation
  • Pegasystems Inc.
  • Quixy
  • Redwood Software
  • SAP SE
  • ServiceNow, Inc.
  • SS&C Technologies Holdings Inc.
  • Tricentis
  • UiPath, Inc.
  • WorkFusion, Inc.
Product Code: MRR-035590447AE9

The Hyperautomation Market was valued at USD 12.47 billion in 2024 and is projected to grow to USD 15.19 billion in 2025, with a CAGR of 22.47%, reaching USD 42.10 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 12.47 billion
Estimated Year [2025] USD 15.19 billion
Forecast Year [2030] USD 42.10 billion
CAGR (%) 22.47%

In today's rapidly evolving business environment, the emergence of hyperautomation is revolutionizing how organizations approach digital transformation. This new era is characterized by the seamless integration of advanced technologies that drive efficiency, optimize processes, and foster innovative thinking across industries. Hyperautomation goes beyond traditional automation by incorporating artificial intelligence, machine learning, and robotic process automation to create end-to-end solutions that redefine operational strategies.

Businesses are now empowered to streamline workflows and leverage data-driven insights, enabling them to make informed decisions quickly. As industries navigate the challenges and opportunities of a digitally interconnected world, hyperautomation offers a pathway to enhanced productivity and sustained competitive advantage. The integration of cognitive technologies with existing processes is not only transforming how tasks are executed but also reshaping the broader business ecosystem.

By harnessing this technology, organizations can break down silos, reduce manual intervention, and accelerate the pace of innovation. This transformative approach promises to deliver measurable improvements in performance and agility, making it an essential strategy for forward-thinking enterprises aiming to future-proof their operations in an ever-more complex market landscape.

Transformative Shifts in the Hyperautomation Landscape

The evolution of hyperautomation is marked by several transformative shifts that are redefining the technology landscape. One of the most significant changes is the transition from isolated automation efforts to a more cohesive, enterprise-wide strategy that integrates various technological solutions into a seamless system. Businesses are now adopting a holistic approach that combines cognitive capabilities and intelligent automation to tackle complex operational challenges.

Technological advancements have paved the way for innovations that were once deemed futuristic. Modern hyperautomation platforms now incorporate advanced analytics, natural language processing, and real-time monitoring, which work together to optimize processes and provide actionable insights. This integration of diverse technologies facilitates not only faster decision-making but also increased accuracy in executing business-critical tasks.

Moreover, organizations are witnessing a cultural shift as they embrace these technological advances. Decision-makers and industry leaders are increasingly focused on leveraging hyperautomation to drive end-to-end transformation, reducing operational bottlenecks and enhancing customer experiences. The rapid pace of change in this domain necessitates continuous reevaluation and adaptation of strategies, ensuring that the benefits of hyperautomation are fully realized across all layers of an organization.

Key Segmentation Insights: Diverse Drivers and Differentiators in Hyperautomation

Understanding the intricacies of hyperautomation requires a comprehensive view of the market segmentation that drives its adoption and growth. Analysis in this field is conducted from multiple perspectives. For instance, the segmentation based on the component distinguishes between services and software, with services further delving into consulting, implementation, and support and maintenance. This framework illuminates the way organizations opt to integrate hyperautomation into their existing systems and tailor it to their specific needs.

In addition, segmentation based on application provides clarity on where hyperautomation is making the most significant impact. Industries are leveraging this technology across a broad spectrum that includes accounting automation, chatbots, customer relationship management, feedback automation, invoice processing, lead generation, payroll automation, recruitment automation, and supply chain management. Each of these application areas presents unique opportunities and challenges, highlighting the versatility and adaptive nature of hyperautomation.

Furthermore, a detailed look at the deployment model segmentation reveals a distinct dichotomy between cloud-based solutions and on-premises setups. While cloud-based deployments offer scalability and ease of integration, on-premises solutions continue to be favored by organizations with specific security and regulatory requirements. The end-use segmentation further categorizes the market by evaluating industries such as automotive, banking, financial services and insurance, construction, energy and utilities, healthcare, IT and telecom, manufacturing, retail and e-commerce, and telecommunications, indicating a broad and diverse adoption pattern. Finally, segmentation based on organization size, which spans large enterprises, medium enterprises, and small enterprises, underscores the universal appeal and adaptability of hyperautomation initiatives across different scales of operations.

Based on Component, market is studied across Services and Software. The Services is further studied across Consulting Services, Implementation Services, and Support And Maintenance.

Based on Application, market is studied across Accounting Automation, Chatbots, Customer Relationship Management, Feedback Automation, Invoice Processing, Lead Generation, Payroll Automation, Recruitment Automation, and Supply Chain Management.

Based on Deployment Model, market is studied across Cloud-Based and On-Premises.

Based on End-Use, market is studied across Automotive, Banking, Financial Services, And Insurance, Construction, Energy & Utilities, Healthcare, IT And Telecom, Manufacturing, Retail & E-Commerce, and Telecommunications.

Based on Organization Size, market is studied across Large Enterprises, Medium Enterprises, and Small Enterprises.

Key Regional Insights: Global Perspectives in the Adoption of Hyperautomation

The geographical spread of hyperautomation adoption is as diverse as its application across industries. A thorough regional analysis reveals significant differences in market dynamics, regulatory environments, and technological maturity. In the Americas, innovation and aggressive technological adoption are complemented by a strong emphasis on data-driven decision-making, making it a frontrunner in the transition towards integrated automation solutions.

Moving to the Europe, Middle East & Africa region, there is a pronounced focus on regulatory compliance and sustainability alongside technological innovation. Rapid digitalization efforts, coupled with robust government initiatives, are fueling the deployment of hyperautomation in a manner that balances innovation with risk management and security considerations. Similarly, the Asia-Pacific region is emerging as a dynamic market where a combination of high-tech investments, increasing digital literacy, and an expansive manufacturing base drive competitive advantage. In each of these regions, businesses are adapting local strategies to meet global standards, ensuring that the transformative potential of hyperautomation is harnessed effectively to support sustainable growth and innovation on a global scale.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Key Companies Insights: Showcasing Leaders in Hyperautomation Innovation

The market for hyperautomation is characterized by a rich tapestry of companies that are leading the charge in this transformative landscape. Prominent players such as Aisera, Inc., Appian Corporation Inc, Automation Anywhere, Inc., and AutomationEdge Pvt. Ltd. have distinguished themselves by delivering innovative solutions that address complex automation needs. Organizations like Box, Inc. and Celonis GmbH have also played a crucial role in driving adoption by introducing novel software that streamlines business processes.

Further adding to this ecosystem are companies such as Ciphix B.V. and ElectroNeek Robotics Inc., which have demonstrated significant prowess in integrating artificial intelligence with traditional process automation. Fortra, LLC, Google LLC by Alphabet Inc., and Hypatos GmbH continue to set benchmarks in leveraging data analytics and cognitive technologies to enhance operational efficiencies. Hyper Labs, Inc. and Iberdrola, S.A. are notable for their forward-thinking approaches, while Infosys Limited, along with International Business Machines Corporation and Microsoft Corporation, serve as pillars of innovation through comprehensive automation platforms.

Other influential companies making strides in this space include Nintex Global Ltd., Oracle Corporation, and Pegasystems Inc., whose platforms have been instrumental in reimagining customer journeys and back-office functions. The market also sees significant contributions from emerging names like Quixy, Redwood Software, SAP SE, ServiceNow, Inc., SS&C Technologies Holdings Inc., Tricentis, UiPath, Inc., and WorkFusion, Inc., each of which plays a distinctive role in pushing the boundaries of what hyperautomation can achieve in diverse operational landscapes.

The report delves into recent significant developments in the Hyperautomation Market, highlighting leading vendors and their innovative profiles. These include Aisera, Inc., Appian Corporation Inc, Automation Anywhere, Inc., AutomationEdge Pvt. Ltd., Box, Inc., Celonis GmbH, Ciphix B.V., ElectroNeek Robotics Inc., Fortra, LLC, Google LLC by Alphabet Inc., Hypatos GmbH, Hyper Labs, Inc., Iberdrola, S.A., Infosys Limited, International Business Machines Corporation, Microsoft Corporation, Nintex Global Ltd., Oracle Corporation, Pegasystems Inc., Quixy, Redwood Software, SAP SE, ServiceNow, Inc., SS&C Technologies Holdings Inc., Tricentis, UiPath, Inc., and WorkFusion, Inc.. Actionable Recommendations for Industry Leaders: Strategize for a Future-Ready Organization

For executives and decision-makers looking to harness the full potential of hyperautomation, a strategic and proactive approach is essential. The evolving landscape demands that industry leaders continuously reevaluate their operational frameworks and invest in the latest technologies to sustain competitive advantage. One key recommendation is to develop a comprehensive automation roadmap that aligns with overall business objectives. This roadmap should be rooted in a deep understanding of both internal process requirements and external market trends, ensuring that each stage of digital transformation is well planned and executed.

A second strategic imperative involves investing in both advanced software solutions and specialized consulting services. As the market becomes increasingly competitive, organizations must look to build strategic partnerships with technology providers who offer robust support and innovative insights. This dual investment in technology and expertise is critical in navigating complex implementation landscapes, balancing flexibility with performance, and ensuring that security and regulatory compliance remain at the forefront of deployment strategies.

Another recommendation centers around embracing a hybrid deployment model that leverages the strengths of both cloud-based and on-premises solutions. Flexibility in deployment is essential in meeting the varied needs of different organizational segments, ranging from large enterprises to smaller firms that may have more specific or localized requirements. Furthermore, leaders are advised to establish robust governance frameworks that facilitate continuous monitoring and periodic reassessment of hyperautomation initiatives, ensuring that the benefits accrued over time are maximized while risks are mitigated.

Lastly, fostering an internal culture of innovation and change management is paramount. Encouraging cross-departmental collaboration and investing in employee training can help ensure a smooth transition to hyperautomation, enabling teams to adapt quickly and efficiently. By aligning technology investments with clear business outcomes, organizations can operationalize hyperautomation effectively and secure a sustainable competitive edge in an increasingly digital world.

Conclusion: Future-Proofing Business Operations Through Hyperautomation

In conclusion, hyperautomation represents more than just a technological upgrade - it is a fundamental transformation that reshapes the way organizations operate. As discussed, its impact is multi-faceted, affecting everything from internal process optimization to overarching strategic frameworks. The market is characterized by a high degree of segmentation where components such as services and software are analyzed across various applications including accounting, customer relationship management, and supply chain management. Additionally, the distinctions in deployment model and the breadth of industry verticals underscore a widespread adoption pattern that is both dynamic and adaptive.

Regional analysis further highlights that while the Americas lead in technological innovation, regions such as Europe, Middle East & Africa and Asia-Pacific are not far behind, each contributing unique insights into regulatory adaptations and technological advancements. The role of market leaders cannot be overstated, as companies ranging from established giants to emerging innovators continue to push the envelope on what is achievable with hyperautomation.

Looking forward, the urgency for organizations to embrace hyperautomation grows stronger. By adopting robust strategies, investing in both technology and expertise, and fostering a culture of continuous innovation, businesses can secure a future-proof operation that is resilient in the face of evolving market challenges. The journey toward comprehensive digital transformation is intricate, yet the benefits of enhanced efficiency, improved agility, and sustainable growth make it a pathway worth pursuing.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Growing demand for efficiency and productivity improvements across industries
      • 5.1.1.2. Increasing advancements in artificial intelligence and machine learning technologies
      • 5.1.1.3. Supportive government initiatives promoting digitization and smart workflows across various industries globally
    • 5.1.2. Restraints
      • 5.1.2.1. High initial investment cost for adoption of hyperautomation technologies
    • 5.1.3. Opportunities
      • 5.1.3.1. Ongoing development of customized hyperautomation solutions for specific industry requirements
      • 5.1.3.2. Integration of hyperautomation in healthcare for patient data management and operational efficiency
    • 5.1.4. Challenges
      • 5.1.4.1. Stringent regulatory hurdles and compliance requirements for hyperautomation processes
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Component: Increasing preference for software due to its advanced features that are user-friendly and highly compatible
    • 5.2.2. End-Use: Expanding application of hyperautomation in the manufacturing sector
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Hyperautomation Market, by Component

  • 6.1. Introduction
  • 6.2. Services
    • 6.2.1. Consulting Services
    • 6.2.2. Implementation Services
    • 6.2.3. Support And Maintenance
  • 6.3. Software

7. Hyperautomation Market, by Application

  • 7.1. Introduction
  • 7.2. Accounting Automation
  • 7.3. Chatbots
  • 7.4. Customer Relationship Management
  • 7.5. Feedback Automation
  • 7.6. Invoice Processing
  • 7.7. Lead Generation
  • 7.8. Payroll Automation
  • 7.9. Recruitment Automation
  • 7.10. Supply Chain Management

8. Hyperautomation Market, by Deployment Model

  • 8.1. Introduction
  • 8.2. Cloud-Based
  • 8.3. On-Premises

9. Hyperautomation Market, by End-Use

  • 9.1. Introduction
  • 9.2. Automotive
  • 9.3. Banking, Financial Services, And Insurance
  • 9.4. Construction
  • 9.5. Energy & Utilities
  • 9.6. Healthcare
  • 9.7. IT And Telecom
  • 9.8. Manufacturing
  • 9.9. Retail & E-Commerce
  • 9.10. Telecommunications

10. Hyperautomation Market, by Organization Size

  • 10.1. Introduction
  • 10.2. Large Enterprises
  • 10.3. Medium Enterprises
  • 10.4. Small Enterprises

11. Americas Hyperautomation Market

  • 11.1. Introduction
  • 11.2. Argentina
  • 11.3. Brazil
  • 11.4. Canada
  • 11.5. Mexico
  • 11.6. United States

12. Asia-Pacific Hyperautomation Market

  • 12.1. Introduction
  • 12.2. Australia
  • 12.3. China
  • 12.4. India
  • 12.5. Indonesia
  • 12.6. Japan
  • 12.7. Malaysia
  • 12.8. Philippines
  • 12.9. Singapore
  • 12.10. South Korea
  • 12.11. Taiwan
  • 12.12. Thailand
  • 12.13. Vietnam

13. Europe, Middle East & Africa Hyperautomation Market

  • 13.1. Introduction
  • 13.2. Denmark
  • 13.3. Egypt
  • 13.4. Finland
  • 13.5. France
  • 13.6. Germany
  • 13.7. Israel
  • 13.8. Italy
  • 13.9. Netherlands
  • 13.10. Nigeria
  • 13.11. Norway
  • 13.12. Poland
  • 13.13. Qatar
  • 13.14. Russia
  • 13.15. Saudi Arabia
  • 13.16. South Africa
  • 13.17. Spain
  • 13.18. Sweden
  • 13.19. Switzerland
  • 13.20. Turkey
  • 13.21. United Arab Emirates
  • 13.22. United Kingdom

14. Competitive Landscape

  • 14.1. Market Share Analysis, 2024
  • 14.2. FPNV Positioning Matrix, 2024
  • 14.3. Competitive Scenario Analysis
    • 14.3.1. Ciphix enhance hyperautomation capabilities with acquisition of Mendix Platinum Partner Bizzomate
    • 14.3.2. Transcosmos partneres with Cyclone Robotics, a provider of robotic process automation (RPA) and hyper-automation solutions
    • 14.3.3. Zvolv secures USD 2 million to enhance its AI-powered LCNC hyperautomation platform for US expansion
  • 14.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Aisera, Inc.
  • 2. Appian Corporation Inc
  • 3. Automation Anywhere, Inc.
  • 4. AutomationEdge Pvt. Ltd.
  • 5. Box, Inc.
  • 6. Celonis GmbH
  • 7. Ciphix B.V.
  • 8. ElectroNeek Robotics Inc.
  • 9. Fortra, LLC
  • 10. Google LLC by Alphabet Inc.
  • 11. Hypatos GmbH
  • 12. Hyper Labs, Inc.
  • 13. Iberdrola, S.A.
  • 14. Infosys Limited
  • 15. International Business Machines Corporation
  • 16. Microsoft Corporation
  • 17. Nintex Global Ltd.
  • 18. Oracle Corporation
  • 19. Pegasystems Inc.
  • 20. Quixy
  • 21. Redwood Software
  • 22. SAP SE
  • 23. ServiceNow, Inc.
  • 24. SS&C Technologies Holdings Inc.
  • 25. Tricentis
  • 26. UiPath, Inc.
  • 27. WorkFusion, Inc.

LIST OF FIGURES

  • FIGURE 1. HYPERAUTOMATION MARKET MULTI-CURRENCY
  • FIGURE 2. HYPERAUTOMATION MARKET MULTI-LANGUAGE
  • FIGURE 3. HYPERAUTOMATION MARKET RESEARCH PROCESS
  • FIGURE 4. HYPERAUTOMATION MARKET SIZE, 2024 VS 2030
  • FIGURE 5. GLOBAL HYPERAUTOMATION MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 6. GLOBAL HYPERAUTOMATION MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL HYPERAUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2024 VS 2030 (%)
  • FIGURE 9. GLOBAL HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
  • FIGURE 11. GLOBAL HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2024 VS 2030 (%)
  • FIGURE 13. GLOBAL HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 14. GLOBAL HYPERAUTOMATION MARKET SIZE, BY END-USE, 2024 VS 2030 (%)
  • FIGURE 15. GLOBAL HYPERAUTOMATION MARKET SIZE, BY END-USE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 16. GLOBAL HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2030 (%)
  • FIGURE 17. GLOBAL HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 18. AMERICAS HYPERAUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 19. AMERICAS HYPERAUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 20. UNITED STATES HYPERAUTOMATION MARKET SIZE, BY STATE, 2024 VS 2030 (%)
  • FIGURE 21. UNITED STATES HYPERAUTOMATION MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 22. ASIA-PACIFIC HYPERAUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 23. ASIA-PACIFIC HYPERAUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 24. EUROPE, MIDDLE EAST & AFRICA HYPERAUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 25. EUROPE, MIDDLE EAST & AFRICA HYPERAUTOMATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 26. HYPERAUTOMATION MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 27. HYPERAUTOMATION MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. HYPERAUTOMATION MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL HYPERAUTOMATION MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL HYPERAUTOMATION MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL HYPERAUTOMATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. HYPERAUTOMATION MARKET DYNAMICS
  • TABLE 7. GLOBAL HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL HYPERAUTOMATION MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL HYPERAUTOMATION MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL HYPERAUTOMATION MARKET SIZE, BY IMPLEMENTATION SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL HYPERAUTOMATION MARKET SIZE, BY SUPPORT AND MAINTENANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL HYPERAUTOMATION MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL HYPERAUTOMATION MARKET SIZE, BY ACCOUNTING AUTOMATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL HYPERAUTOMATION MARKET SIZE, BY CHATBOTS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL HYPERAUTOMATION MARKET SIZE, BY CUSTOMER RELATIONSHIP MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL HYPERAUTOMATION MARKET SIZE, BY FEEDBACK AUTOMATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL HYPERAUTOMATION MARKET SIZE, BY INVOICE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL HYPERAUTOMATION MARKET SIZE, BY LEAD GENERATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL HYPERAUTOMATION MARKET SIZE, BY PAYROLL AUTOMATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL HYPERAUTOMATION MARKET SIZE, BY RECRUITMENT AUTOMATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL HYPERAUTOMATION MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL HYPERAUTOMATION MARKET SIZE, BY CLOUD-BASED, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL HYPERAUTOMATION MARKET SIZE, BY ON-PREMISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL HYPERAUTOMATION MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 29. GLOBAL HYPERAUTOMATION MARKET SIZE, BY BANKING, FINANCIAL SERVICES, AND INSURANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 30. GLOBAL HYPERAUTOMATION MARKET SIZE, BY CONSTRUCTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 31. GLOBAL HYPERAUTOMATION MARKET SIZE, BY ENERGY & UTILITIES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 32. GLOBAL HYPERAUTOMATION MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 33. GLOBAL HYPERAUTOMATION MARKET SIZE, BY IT AND TELECOM, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 34. GLOBAL HYPERAUTOMATION MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 35. GLOBAL HYPERAUTOMATION MARKET SIZE, BY RETAIL & E-COMMERCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 36. GLOBAL HYPERAUTOMATION MARKET SIZE, BY TELECOMMUNICATIONS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 37. GLOBAL HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 38. GLOBAL HYPERAUTOMATION MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 39. GLOBAL HYPERAUTOMATION MARKET SIZE, BY MEDIUM ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 40. GLOBAL HYPERAUTOMATION MARKET SIZE, BY SMALL ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 41. AMERICAS HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 42. AMERICAS HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 43. AMERICAS HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 44. AMERICAS HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 45. AMERICAS HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 46. AMERICAS HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 47. AMERICAS HYPERAUTOMATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 48. ARGENTINA HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 49. ARGENTINA HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 50. ARGENTINA HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 51. ARGENTINA HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 52. ARGENTINA HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 53. ARGENTINA HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 54. BRAZIL HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 55. BRAZIL HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 56. BRAZIL HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 57. BRAZIL HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 58. BRAZIL HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 59. BRAZIL HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 60. CANADA HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 61. CANADA HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 62. CANADA HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 63. CANADA HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 64. CANADA HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 65. CANADA HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 66. MEXICO HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 67. MEXICO HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 68. MEXICO HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 69. MEXICO HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 70. MEXICO HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 71. MEXICO HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 72. UNITED STATES HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 73. UNITED STATES HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 74. UNITED STATES HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 75. UNITED STATES HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 76. UNITED STATES HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 77. UNITED STATES HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 78. UNITED STATES HYPERAUTOMATION MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 79. ASIA-PACIFIC HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 80. ASIA-PACIFIC HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 81. ASIA-PACIFIC HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 82. ASIA-PACIFIC HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 83. ASIA-PACIFIC HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 84. ASIA-PACIFIC HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 85. ASIA-PACIFIC HYPERAUTOMATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 86. AUSTRALIA HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 87. AUSTRALIA HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 88. AUSTRALIA HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 89. AUSTRALIA HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 90. AUSTRALIA HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 91. AUSTRALIA HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 92. CHINA HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 93. CHINA HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 94. CHINA HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 95. CHINA HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 96. CHINA HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 97. CHINA HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 98. INDIA HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 99. INDIA HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 100. INDIA HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 101. INDIA HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 102. INDIA HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 103. INDIA HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 104. INDONESIA HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 105. INDONESIA HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 106. INDONESIA HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 107. INDONESIA HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 108. INDONESIA HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 109. INDONESIA HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 110. JAPAN HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 111. JAPAN HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 112. JAPAN HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 113. JAPAN HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 114. JAPAN HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 115. JAPAN HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 116. MALAYSIA HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 117. MALAYSIA HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 118. MALAYSIA HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 119. MALAYSIA HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 120. MALAYSIA HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 121. MALAYSIA HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 122. PHILIPPINES HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 123. PHILIPPINES HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 124. PHILIPPINES HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 125. PHILIPPINES HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 126. PHILIPPINES HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 127. PHILIPPINES HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 128. SINGAPORE HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 129. SINGAPORE HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 130. SINGAPORE HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 131. SINGAPORE HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 132. SINGAPORE HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 133. SINGAPORE HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 134. SOUTH KOREA HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 135. SOUTH KOREA HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 136. SOUTH KOREA HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 137. SOUTH KOREA HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 138. SOUTH KOREA HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 139. SOUTH KOREA HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 140. TAIWAN HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 141. TAIWAN HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 142. TAIWAN HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 143. TAIWAN HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 144. TAIWAN HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 145. TAIWAN HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 146. THAILAND HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 147. THAILAND HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 148. THAILAND HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 149. THAILAND HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 150. THAILAND HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 151. THAILAND HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 152. VIETNAM HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 153. VIETNAM HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 154. VIETNAM HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 155. VIETNAM HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 156. VIETNAM HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 157. VIETNAM HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 158. EUROPE, MIDDLE EAST & AFRICA HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 159. EUROPE, MIDDLE EAST & AFRICA HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 160. EUROPE, MIDDLE EAST & AFRICA HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 161. EUROPE, MIDDLE EAST & AFRICA HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 162. EUROPE, MIDDLE EAST & AFRICA HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 163. EUROPE, MIDDLE EAST & AFRICA HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 164. EUROPE, MIDDLE EAST & AFRICA HYPERAUTOMATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 165. DENMARK HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 166. DENMARK HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 167. DENMARK HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 168. DENMARK HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 169. DENMARK HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 170. DENMARK HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 171. EGYPT HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 172. EGYPT HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 173. EGYPT HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 174. EGYPT HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 175. EGYPT HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 176. EGYPT HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 177. FINLAND HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 178. FINLAND HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 179. FINLAND HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 180. FINLAND HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 181. FINLAND HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 182. FINLAND HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 183. FRANCE HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 184. FRANCE HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 185. FRANCE HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 186. FRANCE HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 187. FRANCE HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 188. FRANCE HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 189. GERMANY HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 190. GERMANY HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 191. GERMANY HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 192. GERMANY HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 193. GERMANY HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 194. GERMANY HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 195. ISRAEL HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 196. ISRAEL HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 197. ISRAEL HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 198. ISRAEL HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 199. ISRAEL HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 200. ISRAEL HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 201. ITALY HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 202. ITALY HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 203. ITALY HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 204. ITALY HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 205. ITALY HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 206. ITALY HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 207. NETHERLANDS HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 208. NETHERLANDS HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 209. NETHERLANDS HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 210. NETHERLANDS HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 211. NETHERLANDS HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 212. NETHERLANDS HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 213. NIGERIA HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 214. NIGERIA HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 215. NIGERIA HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 216. NIGERIA HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 217. NIGERIA HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 218. NIGERIA HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 219. NORWAY HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 220. NORWAY HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 221. NORWAY HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 222. NORWAY HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 223. NORWAY HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 224. NORWAY HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 225. POLAND HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 226. POLAND HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 227. POLAND HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 228. POLAND HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 229. POLAND HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 230. POLAND HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 231. QATAR HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 232. QATAR HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 233. QATAR HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 234. QATAR HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 235. QATAR HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 236. QATAR HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 237. RUSSIA HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 238. RUSSIA HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 239. RUSSIA HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 240. RUSSIA HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 241. RUSSIA HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 242. RUSSIA HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 243. SAUDI ARABIA HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 244. SAUDI ARABIA HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 245. SAUDI ARABIA HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 246. SAUDI ARABIA HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 247. SAUDI ARABIA HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 248. SAUDI ARABIA HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 249. SOUTH AFRICA HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 250. SOUTH AFRICA HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 251. SOUTH AFRICA HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 252. SOUTH AFRICA HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 253. SOUTH AFRICA HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 254. SOUTH AFRICA HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 255. SPAIN HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 256. SPAIN HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 257. SPAIN HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 258. SPAIN HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 259. SPAIN HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 260. SPAIN HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 261. SWEDEN HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 262. SWEDEN HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 263. SWEDEN HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 264. SWEDEN HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 265. SWEDEN HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 266. SWEDEN HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 267. SWITZERLAND HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 268. SWITZERLAND HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 269. SWITZERLAND HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 270. SWITZERLAND HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 271. SWITZERLAND HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 272. SWITZERLAND HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 273. TURKEY HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 274. TURKEY HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 275. TURKEY HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 276. TURKEY HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 277. TURKEY HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 278. TURKEY HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 279. UNITED ARAB EMIRATES HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 280. UNITED ARAB EMIRATES HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 281. UNITED ARAB EMIRATES HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 282. UNITED ARAB EMIRATES HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 283. UNITED ARAB EMIRATES HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 284. UNITED ARAB EMIRATES HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 285. UNITED KINGDOM HYPERAUTOMATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 286. UNITED KINGDOM HYPERAUTOMATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 287. UNITED KINGDOM HYPERAUTOMATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 288. UNITED KINGDOM HYPERAUTOMATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 289. UNITED KINGDOM HYPERAUTOMATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 290. UNITED KINGDOM HYPERAUTOMATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 291. HYPERAUTOMATION MARKET SHARE, BY KEY PLAYER, 2024
  • TABLE 292. HYPERAUTOMATION MARKET, FPNV POSITIONING MATRIX, 2024