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1530662

2030 年超自動化市場預測：按組件、功能、部署模式、技術、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，2024 年全球超自動化市場規模將達到 19 億美元，預計到 2030 年將達到 62 億美元，預測期內複合年成長率為 21.8%。

超級自動化是人工智慧（AI）、機器學習（ML）、機器人流程自動化（RPA）和智慧業務管理軟體等先進技術的全面整合，以實現複雜業務流程的自動化和自動化。超級自動化旨在提高效率、減少人為干預並簡化從資料管理到客戶服務等各種職能的工作流程。超級自動化利用互聯技術提供前所未有的自動化水平和業務敏捷性，推動組織在數位經濟中提高生產力和創新。

根據國際機器人聯合會（IFR）2022年發布的報告顯示，全球運作的工業機器人數量已創歷史新高，約300萬台，2015年至2020年成長率為13%。

製造業自動化趨勢不斷增強

由於自動化趨勢的不斷發展，製造業市場正在蓬勃發展。各行業正在部署人工智慧、機器學習和機器人等先進技術，以簡化流程、提高生產力並減少人為錯誤。超級自動化可實現各種自動化系統的無縫整合，從而實現高效、靈活的製造營運。這一趨勢是由提高業務效率和快速響應不斷變化的市場需求的能力的需求所推動的。

安全問題

安全問題是公司發展的重要議題。整合眾多自動化系統會增加遭受網路攻擊、資料外洩和未授權存取的脆弱性。確保強力的網路安全措施對於保護敏感資訊和維護系統完整性至關重要。此外，跨不同技術和平台的安全管理的複雜性增加了潛在威脅的風險。

數位化滲透

數位化在市場中的滲透率不斷提高，透過先進技術的整合正在引領產業轉型。這些創新實現了複雜流程的無縫自動化，提高了效率並減少了人為干預。企業正在利用數位工具來提高生產力、最佳化業務並獲得即時洞察。對敏捷性、擴充性和成本效益的需求推動了向數位化的轉變，而超級自動化已成為各行業數位轉型的關鍵推動者。

缺乏熟練人才

缺乏技術純熟勞工是影響市場成長的一個主要問題。隨著組織採用先進技術，對能夠開發、實施和管理這些系統的熟練專業人員的需求超出了供應。這種技能差距阻礙了超級自動化解決方案的有效部署和最佳化，導致潛在的延遲和低效率。公司必須投資於培訓和發展計劃，以縮小這一差距並充分利用其優勢。

COVID-19 的影響：

隨著企業在中斷期間尋求更高的業務效率和彈性，COVID-19 大流行顯著加速了超自動化的採用。遠端工作、社交距離和供應鏈挑戰凸顯了對自動化解決方案的需求，以保持生產力和連續性。因此，各行業迅速採用人工智慧、機器學習和機器人流程自動化來簡化流程、減少人為干預並確保業務永續營運。

預計行銷和銷售部門在預測期內將是最大的部門

行銷和銷售預計將成為預測期內最大的部分。策略包括透過案例研究展示投資報酬率、利用數位管道進行有針對性的廣告，以及注重擴充性和與現有系統的整合。銷售活動優先考慮個人諮詢，強調客製化功能，並提供試用期和演示。建立牢固的合作夥伴關係和參與行業活動也對於接觸決策者和推動跨部門採用發揮關鍵作用。

醫療保健產業預計在預測期內複合年成長率最高

預計醫療保健產業在預測期內的複合年成長率最高。這些因素包括自動化管理業務、增強患者資料管理和改進診斷流程。超自動化使醫療保健提供者能夠提高效率、診斷準確性和為患者提供個人化護理。自動化還支援遵守監管標準、降低營運成本和加快決策速度，最終改善整體醫療服務和病患治療結果。

比最大的地區

預計北美在預測期內將佔據最大的市場佔有率。該公司正在利用人工智慧、機器學習和機器人流程自動化 (RPA) 來簡化業務、提高生產力並降低成本。市場成長是由業務流程中對業務效率、擴充性和敏捷性的需求所推動的。智慧自動化技術的創新正在重新設計工作流程，最佳化資源利用率，並促進該地區各企業更快做出決策。

複合年成長率最高的地區：

預計亞太地區在預測期內將維持最高的複合年成長率。推動需求的主要產業包括製造業、銀行和金融、醫療保健和零售。政府推動數位基礎設施和智慧城市計劃的舉措將進一步支持市場擴張。隨著企業繼續優先考慮敏捷性和擴充性，該地區的超級自動化市場將持續成長，為技術提供者和相關人員提供重要機會。

免費客製化服務

訂閱此報告的客戶可以存取以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球超自動化市場：按組成部分

  • 硬體
  • 軟體
  • 服務

第6章全球超自動化市場：依功能分類

  • 行銷與銷售
  • 資訊科技（IT）
  • 財務/會計
  • 營運和供應鏈
  • 人力資源（HR）

第7章全球超自動化市場：依部署模式

  • 雲端基礎
  • 本地

第8章全球超自動化市場：依技術分類

  • 機器人流程自動化 (RPA)
  • 情境感知計算
  • 機器學習（ML）
  • 電腦視覺
  • 生物識別
  • 自然語言生成（NLG）
  • 聊天機器人
  • 其他技術

第9章全球超自動化市場：依最終用戶分類

  • 製造業
  • 銀行、金融服務和保險 (BFSI)
  • 車
  • 資訊科技和通訊
  • 運輸/物流
  • 衛生保健
  • 其他最終用戶

第10章全球超自動化市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第11章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章 公司概況

  • 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.