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市场调查报告书
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1530662

2030 年超自动化市场预测：按组件、功能、部署模式、技术、最终用户和地区进行的全球分析

Hyper Automation Market Forecasts to 2030 - Global Analysis By Component (Hardware, Software and Services), Function, Deployment Mode, Technology, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，2024 年全球超自动化市场规模将达到 19 亿美元，预计到 2030 年将达到 62 亿美元，预测期内复合年增长率为 21.8%。

超级自动化是人工智慧（AI）、机器学习（ML）、机器人流程自动化（RPA）和智慧业务管理软体等先进技术的全面集成，以实现复杂业务流程的自动化和自动化。超级自动化旨在提高效率、减少人为干预并简化从资料管理到客户服务等各种职能的工作流程。超级自动化利用互联技术提供前所未有的自动化水平和业务敏捷性，推动组织在数位经济中提高生产力和创新。

根据国际机器人联合会（IFR）2022年发布的报告显示，全球运作的工业机器人数量已创历史新高，约300万台，2015年至2020年增长率为13%。

製造业自动化趋势不断增强

由于自动化趋势的不断发展，製造业市场正在蓬勃发展。各行业正在部署人工智慧、机器学习和机器人等先进技术，以简化流程、提高生产力并减少人为错误。超级自动化可实现各种自动化系统的无缝集成，从而实现高效、灵活的製造营运。这一趋势是由提高业务效率和快速响应不断变化的市场需求的能力的需求所推动的。

安全问题

安全问题是公司发展的重要议题。整合众多自动化系统会增加遭受网路攻击、资料外洩和未授权存取的脆弱性。确保强有力的网路安全措施对于保护敏感资讯和维护系统完整性至关重要。此外，跨不同技术和平台的安全管理的复杂性增加了潜在威胁的风险。

数位化渗透

数位化在市场中的渗透率不断提高，透过先进技术的整合正在引领产业转型。这些创新实现了复杂流程的无缝自动化，提高了效率并减少了人为干预。企业正在利用数位工具来提高生产力、优化业务并获得即时洞察。对敏捷性、扩充性和成本效益的需求推动了向数位化的转变，而超级自动化已成为各行业数位转型的关键推动者。

缺乏熟练人才

缺乏技术纯熟劳工是影响市场成长的一个主要问题。随着组织采用先进技术，对能够开发、实施和管理这些系统的熟练专业人员的需求超出了供应。这种技能差距阻碍了超级自动化解决方案的有效部署和最佳化，导致潜在的延迟和低效率。公司必须投资于培训和发展计划，以缩小这一差距并充分利用其优势。

COVID-19 的影响：

随着企业在中断期间寻求更高的业务效率和弹性，COVID-19 大流行显着加速了超自动化的采用。远端工作、社交距离和供应链挑战凸显了对自动化解决方案的需求，以保持生产力和连续性。因此，各行业迅速采用人工智慧、机器学习和机器人流程自动化来简化流程、减少人为干预并确保业务永续营运。

预计行销和销售部门在预测期内将是最大的部门

行销和销售预计将成为预测期内最大的部分。策略包括透过案例研究展示投资报酬率、利用数位管道进行有针对性的广告，以及注重扩充性和与现有系统的整合。销售活动优先考虑个人咨询，强调客製化功能，并提供试用期和演示。建立牢固的合作伙伴关係和参与行业活动也对于接触决策者和推动跨部门采用发挥关键作用。

医疗保健产业预计在预测期内复合年增长率最高

预计医疗保健产业在预测期内的复合年增长率最高。这些因素包括自动化管理业务、增强患者资料管理和改进诊断流程。超自动化使医疗保健提供者能够提高效率、诊断准确性和为患者提供个人化护理。自动化还支援遵守监管标准、降低营运成本和加快决策速度，最终改善整体医疗服务和病患治疗结果。

比最大的地区

预计北美在预测期内将占据最大的市场占有率。该公司正在利用人工智慧、机器学习和机器人流程自动化 (RPA) 来简化业务、提高生产力并降低成本。市场成长是由业务流程中对业务效率、扩充性和敏捷性的需求所推动的。智慧自动化技术的创新正在重新设计工作流程，优化资源利用率，并促进该地区各企业更快做出决策。

复合年增长率最高的地区：

预计亚太地区在预测期内将维持最高的复合年增长率。推动需求的主要产业包括製造业、银行和金融、医疗保健和零售。政府推动数位基础设施和智慧城市计划的倡议将进一步支持市场扩张。随着企业继续优先考虑敏捷性和扩充性，该地区的超级自动化市场将持续成长，为技术提供者和相关人员提供重要机会。

免费客製化服务

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球超自动化市场：按组成部分

  • 硬体
  • 软体
  • 服务

第六章全球超自动化市场：依功能分类

  • 行销与销售
  • 资讯科技（IT）
  • 财务/会计
  • 营运和供应链
  • 人力资源（HR）

第七章全球超自动化市场：依部署模式

  • 云端基础
  • 本地

第八章全球超自动化市场：依技术分类

  • 机器人流程自动化 (RPA)
  • 情境感知计算
  • 机器学习（ML）
  • 电脑视觉
  • 生物识别
  • 自然语言生成（NLG）
  • 聊天机器人
  • 其他技术

第九章全球超自动化市场：依最终用户划分

  • 製造业
  • 银行、金融服务和保险 (BFSI)
  • 车
  • 资讯科技和通讯
  • 运输/物流
  • 卫生保健
  • 其他最终用户

第10章全球超自动化市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十一章 主要进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十二章 公司概况

  • Tata Consultancy Services Ltd.
  • Mitsubishi Electric Corporation
  • Wipro Ltd.
  • UiPath
  • Automation Anywhere Inc.
  • Blue Prism
  • KPMG
  • IBM
  • PagerDuty, Inc.
  • SAP
  • Pegasystems
  • Capgemini
  • Intellibot
  • Oracle
  • Salesforce
  • Adobe
  • Accenture
  • Deloitte
  • Tech Mahindra
  • McKinsey & Company
Product Code: SMRC26774

According to Stratistics MRC, the Global Hyper Automation Market is accounted for $1.9 billion in 2024 and is expected to reach $6.2 billion by 2030 growing at a CAGR of 21.8% during the forecast period. Hyper automation is the comprehensive integration of advanced technologies like artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and intelligent business management software to automate and optimize complex business processes. It aims to enhance efficiency, reduce human intervention, and streamline workflows across various functions, from data management to customer service. Hyper automation leverages interconnected technologies to achieve unprecedented levels of automation and operational agility, driving organizations towards greater productivity and innovation in digital economy.

According to a report published by the International Federation of Robotics (IFR) in 2022, the operational stock of industrial robots reached a record level of around 3 million units worldwide, growing at the rate of 13% during 2015-2020.

Market Dynamics:

Driver:

Increasing automation trends in manufacturing sector

The market is witnessing a surge in the manufacturing sector due to increasing automation trends. Industries are adopting advanced technologies like AI, machine learning, and robotics to streamline processes, enhance productivity, and reduce human error. Hyper Automation enables seamless integration of various automated systems, resulting in efficient and flexible manufacturing operations. This trend is driven by the need for improved operational efficiency, and the ability to quickly adapt to changing market demands.

Restraint:

Security concerns

Security issues pose significant challenges in the company's development. The integration of numerous automated systems increases vulnerability to cyber-attacks, data breaches, and unauthorized access. Ensuring robust cybersecurity measures is critical to protecting sensitive information and maintaining system integrity. Additionally, the complexity of managing security across diverse technologies and platforms heightens the risk of potential threats.

Opportunity:

Increased penetration of digitalization

The increased penetration of digitalization in the market is transforming industries by integrating advanced technologies. These innovations enable seamless automation of complex processes, improving efficiency and reducing human intervention. Businesses are leveraging digital tools to enhance productivity, optimize operations, and gain real-time insights. The shift towards digitalization is driven by the need for agility, scalability, and cost-effectiveness, positioning hyper automation as a key enabler of digital transformation across various sectors.

Threat:

Lack of skilled personnel

The shortage of skilled labor is a major concern affecting the market growth. As organizations increasingly adopt advanced technologies, the demand for skilled professionals who can develop, implement, and manage these systems outpaces supply. This skills gap hampers the effective deployment and optimization of hyper-automation solutions, leading to potential delays and inefficiencies. Companies must invest in training and development programs to bridge this gap and fully leverage its benefits.

Covid-19 Impact:

The COVID-19 pandemic significantly accelerated the adoption of hyper-automation as businesses sought to enhance operational efficiency and resilience amid disruptions. Remote work, social distancing, and supply chain challenges highlighted the need for automated solutions to maintain productivity and continuity. Consequently, industries rapidly integrated AI, machine learning, and robotic process automation to streamline processes, reduce human intervention, and ensure business continuity.

The marketing & sales segment is expected to be the largest during the forecast period

The marketing & sales is expected to be the largest during the forecast period. Strategies include demonstrating ROI through case studies, leveraging digital channels for targeted advertising, and emphasizing scalability and integration with existing systems. Sales efforts prioritize personalized consultations, highlighting customization capabilities, and offering trial periods or demonstrations. Building strong partnerships and attending industry events also play crucial roles in reaching decision-makers and driving adoption across various sectors.

The healthcare segment is expected to have the highest CAGR during the forecast period

The healthcare segment is expected to have the highest CAGR during the forecast period. Factors includes automating administrative tasks, enhancing patient data management, and improving diagnostic processes. Hyper Automation enables healthcare providers to achieve higher efficiency, accuracy in diagnostics, and personalized patient care. Automation also supports compliance with regulatory standards, reduces operational costs, and accelerates decision-making, ultimately enhancing overall healthcare delivery and patient outcomes.

Region with largest share:

North America is projected to hold the largest market share during the forecast period. Companies are leveraging AI, machine learning, and robotic process automation (RPA) to streamline operations, enhance productivity, and reduce costs. Market growth is driven by demand for operational efficiency, scalability, and agility in business processes. Innovations in intelligent automation technologies are reshaping workflows, optimizing resource utilization, and enabling faster decision-making across enterprises in the region.

Region with highest CAGR:

Asia Pacific is projected to hold the highest CAGR over the forecast period. Key sectors driving the demand include manufacturing, banking and finance, healthcare, and retail. Government initiatives promoting digital infrastructure development and smart city projects further fuel market expansion. As businesses continue to prioritize agility and scalability, the hyper automation market in the region is poised for continued growth, offering substantial opportunities for technology providers and stakeholders alike.

Key players in the market

Some of the key players in Hyper Automation market include Tata Consultancy Services Ltd., Mitsubishi Electric Corporation, Wipro Ltd., UiPath, Automation Anywhere Inc., Blue Prism, KPMG, IBM, PagerDuty, Inc., SAP, Pegasystems, Capgemini, Intellibot, Oracle, Salesforce, Adobe, Accenture, Deloitte, Tech Mahindra and McKinsey & Company.

Key Developments:

In June 2024, Wipro announced a strategic collaboration with Siemens to transform automotive software development through the integration of the PAVE360 software and digital twin technologies from Siemens with Wipro's automotive engineering and digital transformation capabilities.

In January 2024, Tata Consultancy Services announced a 15-year expansion of its partnership with Aviva, the UK's leading insurance, wealth and retirement provider, to transform Aviva's UK Life business and enhance customer experience leveraging the TCS BaNCSTM based platform.

Components Covered:

  • Hardware
  • Software
  • Services

Functions Covered:

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

Deployment Modes Covered:

  • Cloud-Based
  • On-Premises

Technologies Covered:

  • Robotic Process Automation (RPA)
  • Context Aware Computing
  • Machine Learning (ML)
  • Computer Vision
  • Biometrics
  • Natural Language Generation (NLG)
  • Chatbots
  • Other Technologies

End Users Covered:

  • Manufacturing
  • Banking, Financial Services & Insurance (BFSI)
  • Automotive
  • IT & Telecom
  • Transportation & Logistics
  • Healthcare
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Hyper Automation Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
  • 5.3 Software
  • 5.4 Services

6 Global Hyper Automation Market, By Function

  • 6.1 Introduction
  • 6.2 Marketing & Sales
  • 6.3 Information Technology (IT)
  • 6.4 Finance & Accounting
  • 6.5 Operations & Supply Chain
  • 6.6 Human Resources (HR)

7 Global Hyper Automation Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 Cloud-Based
  • 7.3 On-Premises

8 Global Hyper Automation Market, By Technology

  • 8.1 Introduction
  • 8.2 Robotic Process Automation (RPA)
  • 8.3 Context Aware Computing
  • 8.4 Machine Learning (ML)
  • 8.5 Computer Vision
  • 8.6 Biometrics
  • 8.7 Natural Language Generation (NLG)
  • 8.8 Chatbots
  • 8.9 Other Technologies

9 Global Hyper Automation Market, By End User

  • 9.1 Introduction
  • 9.2 Manufacturing
  • 9.3 Banking, Financial Services & Insurance (BFSI)
  • 9.4 Automotive
  • 9.5 IT & Telecom
  • 9.6 Transportation & Logistics
  • 9.7 Healthcare
  • 9.8 Other End Users

10 Global Hyper Automation Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Tata Consultancy Services Ltd.
  • 12.2 Mitsubishi Electric Corporation
  • 12.3 Wipro Ltd.
  • 12.4 UiPath
  • 12.5 Automation Anywhere Inc.
  • 12.6 Blue Prism
  • 12.7 KPMG
  • 12.8 IBM
  • 12.9 PagerDuty, Inc.
  • 12.10 SAP
  • 12.11 Pegasystems
  • 12.12 Capgemini
  • 12.13 Intellibot
  • 12.14 Oracle
  • 12.15 Salesforce
  • 12.16 Adobe
  • 12.17 Accenture
  • 12.18 Deloitte
  • 12.19 Tech Mahindra
  • 12.20 McKinsey & Company

List of Tables

  • Table 1 Global Hyper Automation Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Hyper Automation Market Outlook, By Component (2022-2030) ($MN)
  • Table 3 Global Hyper Automation Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 4 Global Hyper Automation Market Outlook, By Software (2022-2030) ($MN)
  • Table 5 Global Hyper Automation Market Outlook, By Services (2022-2030) ($MN)
  • Table 6 Global Hyper Automation Market Outlook, By Function (2022-2030) ($MN)
  • Table 7 Global Hyper Automation Market Outlook, By Marketing & Sales (2022-2030) ($MN)
  • Table 8 Global Hyper Automation Market Outlook, By Information Technology (IT) (2022-2030) ($MN)
  • Table 9 Global Hyper Automation Market Outlook, By Finance & Accounting (2022-2030) ($MN)
  • Table 10 Global Hyper Automation Market Outlook, By Operations & Supply Chain (2022-2030) ($MN)
  • Table 11 Global Hyper Automation Market Outlook, By Human Resources (HR) (2022-2030) ($MN)
  • Table 12 Global Hyper Automation Market Outlook, By Deployment Mode (2022-2030) ($MN)
  • Table 13 Global Hyper Automation Market Outlook, By Cloud-Based (2022-2030) ($MN)
  • Table 14 Global Hyper Automation Market Outlook, By On-Premises (2022-2030) ($MN)
  • Table 15 Global Hyper Automation Market Outlook, By Technology (2022-2030) ($MN)
  • Table 16 Global Hyper Automation Market Outlook, By Robotic Process Automation (RPA) (2022-2030) ($MN)
  • Table 17 Global Hyper Automation Market Outlook, By Context Aware Computing (2022-2030) ($MN)
  • Table 18 Global Hyper Automation Market Outlook, By Machine Learning (ML) (2022-2030) ($MN)
  • Table 19 Global Hyper Automation Market Outlook, By Computer Vision (2022-2030) ($MN)
  • Table 20 Global Hyper Automation Market Outlook, By Biometrics (2022-2030) ($MN)
  • Table 21 Global Hyper Automation Market Outlook, By Natural Language Generation (NLG) (2022-2030) ($MN)
  • Table 22 Global Hyper Automation Market Outlook, By Chatbots (2022-2030) ($MN)
  • Table 23 Global Hyper Automation Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 24 Global Hyper Automation Market Outlook, By End User (2022-2030) ($MN)
  • Table 25 Global Hyper Automation Market Outlook, By Manufacturing (2022-2030) ($MN)
  • Table 26 Global Hyper Automation Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2022-2030) ($MN)
  • Table 27 Global Hyper Automation Market Outlook, By Automotive (2022-2030) ($MN)
  • Table 28 Global Hyper Automation Market Outlook, By IT & Telecom (2022-2030) ($MN)
  • Table 29 Global Hyper Automation Market Outlook, By Transportation & Logistics (2022-2030) ($MN)
  • Table 30 Global Hyper Automation Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 31 Global Hyper Automation Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.