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市场调查报告书
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1889460

人工智慧驱动的自动化市场预测至2032年：按自动化类型、技术、应用、最终用户和地区分類的全球分析

AI-Driven Automation Market Forecasts to 2032 - Global Analysis By Automation Type (Cognitive Automation, Agentic Automation, Intelligent Process Automation and Event-driven / API-based Automation), Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球人工智慧驱动的自动化市场规模将达到 237.4 亿美元，到 2032 年将达到 783.6 亿美元，预测期内的复合年增长率为 18.6%。

人工智慧驱动的自动化正在改变众多产业，它使软体和机器能够执行传统上由人工管理的流程。借助机器学习、自然语言理解和机器人流程自动化 (RPA) 等技术，企业可以优化工作流程、最大限度地减少错误并提高效率。这使得企业能够即时决策、进行预测性维护并有效管理大型资料集。自动化重复性和常规性任务使员工能够专注于具有策略意义的增值措施。医疗保健、金融、物流和製造业等行业正因人工智慧自动化而发生显着变化。人工智慧的应用提高了可扩展性、营运绩效和成本效益，同时确保了准确性、合规性和更佳的客户体验，从而为企业带来竞争优势。

根据 ODSC 2025 年人工智慧趋势和应用调查，92% 的专业人士认为人工智慧将在他们的整个职业生涯中发挥作用，84% 的人表示他们已经在使用人工智慧来探索和理解新的概念和想法。

对即时决策的需求日益增长

对即时决策日益增长的需求正在推动人工智慧驱动的自动化市场的发展。各行各业的企业都面临着大量数据，需要即时分析才能保持竞争力。人工智慧自动化能够快速检验复杂讯息，并提供可执行的洞察和建议。透过预测建模和机器学习，企业可以预测趋势、评估风险并做出及时、数据驱动的决策。即时决策能力能够提升营运柔软性、应对力和整体绩效。尤其是在零售、医疗保健、金融和物流等行业，即时洞察能够改善客户体验、优化供应链并最大限度地减少营运延误，所有这些都有助于提高盈利、效率和市场竞争力。

高昂的实施成本

人工智慧驱动的自动化市场成长面临的主要限制因素之一是高昂的实施成本。实施人工智慧技术需要对软体、硬体、基础设施和专业人员进行投资。对于中小企业而言，这些初始成本可能成为采用人工智慧技术的障碍。将人工智慧整合到现有业务流程中通常十分复杂，需要客製化解决方案和大量的培训。此外，持续的维护和更新也会带来额外的财务负担。儘管人工智慧自动化具有提高效率和生产力的潜力，但高昂的初始成本和持续成本，尤其是在成本敏感型产业，是重要的障碍，使得许多企业儘管能够获得长期的营运效益，却仍然无法利用人工智慧驱动的解决方案。

对个人化客户体验的需求日益增长

对个人化客户体验日益增长的需求正在推动人工智慧驱动的自动化市场的发展机会。企业正利用人工智慧分析客户偏好、行为和购买趋势等数据，从而提供客製化的产品、服务和推荐。自动化人工智慧系统能够实现即时客户回应，提升客户满意度与参与度。在零售、银行、医疗保健和电信等行业，增强个人化服务能够提高客户忠诚度和收入。透过人工智慧驱动的自动化，企业可以有效处理大规模资料集、细分客户群并预测未来需求。这种对高度个人化的关注为人工智慧解决方案供应商提供了巨大的机会，使其能够开发出既能提升客户体验，又能提高营运效率和整体业务绩效的创新工具。

监理和合规挑战

合规和监管障碍对人工智慧驱动的自动化市场成长构成重大威胁。世界各国政府都已实施了关于资料隐私、人工智慧伦理和自动化决策流程的严格规定。不遵守规定可能导致罚款、诉讼和品牌声誉受损。企业必须密切关注监管动态，实施强有力的合规策略，并使自身的人工智慧系统与不断发展的标准保持一致。在医疗保健、金融和公共服务等行业，这些要求尤其严格。管理不同的区域性法规会导致成本增加、实施延误和扩张受限，因此，对于全球采用人工智慧驱动的自动化技术的企业而言，监管合规始终是一项挑战。

新冠疫情的影响：

新冠疫情对人工智慧驱动的自动化市场产生了显着影响，加速了数位化和自动化解决方案的普及。封锁、劳动力限制和保持社交定序等措施促使企业减少人工操作，并加速采用人工智慧工具以维持生产力。医疗保健、物流、零售和製造业等行业加速了人工智慧在远端监控、预测性维护和工作流程自动化方面的应用。儘管经济的不确定性和预算限制暂时减缓了一些投资，但疫情凸显了建构能够有效应对各种干扰的弹性扩充性系统的必要性。总而言之，新冠疫情既是人工智慧驱动自动化的挑战，也是其发展的驱动力，重塑了产业实践，并凸显了其在后疫情时代成长中的战略作用。

预计在预测期内，智慧流程自动化（IPA）细分市场将占据最大的市场份额。

预计在预测期内，智慧流程自动化 (IPA) 细分市场将占据最大的市场份额。 IPA 融合了机器人流程自动化 (RPA) 和人工智慧 (AI) 技术，包括机器学习和自然语言处理。 IPA 使企业能够自动化处理复杂且认知性强的任务，而不仅仅是简单的重复性任务，从而提高效率和准确性。医疗保健、金融和製造业等行业正在利用 IPA 来简化工作流程、减少错误并增强策略决策能力。 IPA 之所以高效，是因为它能够分析资料、识别模式并适应不断变化的环境。透过将 IPA 整合到业务流程中，企业能够提高生产力、降低营运成本并获得竞争优势，从而成为人工智慧驱动的自动化市场中最突出的细分市场。

预计在预测期内，汽车和运输业将实现最高的复合年增长率。

由于自动驾驶汽车、互联出行和智慧物流系统的日益普及，预计汽车和运输领域在预测期内将实现最高成长率。人工智慧技术能够实现即时监控、预测性维护和精简的供应链运营，从而提高效率并降低成本。汽车製造商和运输业者正越来越多地采用人工智慧驱动的分析、机器学习和自动化技术，以提高安全性、最大限度地减少停机时间并提升客户满意度。此外，电动车的广泛应用、智慧交通管理以及自动驾驶技术的进步也推动了人工智慧自动化技术的应用。这些趋势共同创造了高成长环境，使汽车和运输产业成为人工智慧驱动自动化市场中成长最快的领域。

占比最大的地区：

由于北美拥有强大的技术生态系统、较高的AI普及率以及众多关键产业参与者，预计在预测期内，北美将占据最大的市场份额。大量的研发投入、完善的IT基础设施以及有利的法规结构，都为创新和市场扩张提供了支持。医疗保健、金融、製造和电信等行业正越来越多地采用AI自动化技术来优化流程、降低成本并提升决策能力。美国和加拿大拥有许多领先的AI技术公司和创新Start-Ups，这促进了AI技术的快速普及。北美积极拥抱AI解决方案并采取早期应用策略，使其成为全球AI驱动自动化市场的主导地区。

预计年复合成长率最高的地区：

由于技术的快速发展、人工智慧的日益普及以及对智慧数位基础设施的大规模投资，亚太地区预计将在预测期内实现最高的复合年增长率。中国、印度、日本和韩国等主要经济体正着力发展工业4.0、智慧製造和机器人技术，这推动了对自动化的需求。该地区受益于新兴Start-Ups、政府支持的创新倡议以及不断扩大的工业活动，所有这些因素都促进了市场成长。医疗保健、汽车、物流和製造等行业的企业正在加速采用人工智慧驱动的自动化技术，以提高效率、降低成本并优化生产力。这些趋势使亚太地区成为全球人工智慧驱动自动化市场成长最快的地区。

免费客製化服务：

购买此报告的客户可以选择以下免费自订选项之一：

  • 公司概况
    • 对其他市场公司（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户要求，提供主要国家的市场估算和预测以及复合年增长率（註：可行性需确认）。
  • 竞争基准化分析
    • 根据主要企业的产品系列、地理覆盖范围和策略联盟基准化分析

目录

第一章执行摘要

第二章 前言

  • 摘要
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球人工智慧驱动自动化市场（按自动化类型划分）

  • 认知自动化
  • 基于代理的自动化
  • 智慧流程自动化（IPA）
  • 事件驱动/基于 API 的自动化

6. 全球人工智慧驱动自动化市场（按技术划分）

  • 机器学习
    • 监督式学习
    • 无监督学习
    • 强化学习
    • 深度学习
      • 卷积类神经网路（CNN）
      • 递迴神经网（RNN）
      • 生成对抗网路（GAN）
  • 自然语言处理（NLP）
  • 电脑视觉

7. 全球人工智慧驱动自动化市场（按应用领域划分）

  • 财会
  • 营运和供应链
  • 行销和客户体验
  • 生产/品管
  • 临床和医疗服务
  • 能源基础设施与公共产业

8. 全球人工智慧驱动自动化市场（以最终用户划分）

  • 电讯和资讯技术
  • 汽车与运输
  • 製药和诊断
  • 食品/饮料
  • 能源与化工
  • 先进材料

9. 全球人工智慧驱动自动化市场（按地区划分）

  • 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
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十章：重大进展

  • 协议、伙伴关係、合作和合资企业
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十一章 企业概况

  • UiPath
  • Automation Anywhere
  • IBM watsonx
  • Infosys
  • HCLTech
  • Tata Consultancy Services（TCS）
  • Wipro
  • Persistent Systems
  • Fractal Analytics
  • Addverb Technologies
  • Uncanny Vision
  • Unbox Robotics
  • Ripik.AI
  • Jidoka Technologies
  • Haber
Product Code: SMRC32752

According to Stratistics MRC, the Global AI-Driven Automation Market is accounted for $23.74 billion in 2025 and is expected to reach $78.36 billion by 2032 growing at a CAGR of 18.6% during the forecast period. AI-powered automation is transforming various sectors by enabling software and machines to execute processes that were once managed by humans. Through technologies like machine learning, natural language understanding, and robotic process automation, organizations can optimize workflows, minimize mistakes, and boost efficiency. It facilitates instant decision-making, predictive upkeep, and effective management of massive data sets. By automating repetitive and routine operations, employees are freed to concentrate on strategic, value-added initiatives. Sectors including healthcare, finance, logistics, and manufacturing are experiencing notable changes with AI automation. Incorporating AI enhances scalability, operational performance, and cost efficiency, while ensuring precision, compliance, and improved customer experiences, giving businesses a competitive edge.

According to the ODSC AI Trends and Adoption Survey 2025, data shows that 92% of professionals believe AI will help them throughout their careers, while 84% already use AI to explore and understand new concepts and ideas.

Market Dynamics:

Driver:

Rising demand for real-time decision making

Increasing demand for real-time decision-making is fueling growth in the AI-driven automation market. Businesses across sectors handle enormous amounts of data and require immediate analysis to remain competitive. AI automation allows rapid examination of complex information, providing actionable insights and recommendations. Through predictive modeling and machine learning, organizations can foresee trends, assess risks, and make timely, data-backed decisions. Real-time decision capabilities improve operational flexibility, responsiveness, and overall performance. Industries like retail, healthcare, finance, and logistics particularly gain from instant insights, enabling enhanced customer experiences, optimized supply chains, and minimized operational delays, which collectively contribute to better profitability, efficiency, and a stronger competitive market position.

Restraint:

High implementation costs

A key limitation restraining the growth of the AI-driven automation market is the substantial expense involved in implementation. Introducing AI technologies necessitates investments in software, hardware, infrastructure, and skilled workforce. For small and medium-sized enterprises, these initial costs can be prohibitive, restricting adoption. Integrating AI into existing business processes is often complicated, requiring tailored solutions and extensive training. Moreover, ongoing maintenance and updates add additional financial pressure. Even though AI automation can enhance efficiency and productivity, the high upfront and recurring costs pose a significant barrier, particularly for cost-conscious industries, preventing many organizations from leveraging AI-driven solutions despite their long-term operational advantages.

Opportunity:

Increasing demand for personalized customer experiences

Growing demand for personalized customer experiences is driving opportunities in the AI-driven automation market. Organizations are using AI to examine customer data, including preferences, behaviors, and purchase trends, to offer customized products, services, and recommendations. Automated AI systems enable real-time customer interactions, increasing satisfaction and engagement. Sectors like retail, banking, healthcare, and telecom benefit from enhanced personalization, which boosts loyalty and revenue. Through AI-driven automation, companies can efficiently process large datasets, segment customers, and anticipate future needs. This focus on hyper-personalization offers a significant chance for AI solution providers to develop innovative tools that enhance customer experiences while simultaneously improving operational efficiency and overall business performance.

Threat:

Regulatory and compliance challenges

Compliance and regulatory hurdles represent a major threat to the growth of the AI-driven automation market. Governments across the globe are implementing stringent rules on data privacy, AI ethics, and automated decision-making processes. Failure to comply may lead to penalties, lawsuits, and damage to brand reputation. Businesses must stay informed about regulatory updates, implement strong compliance strategies, and adjust AI systems to align with evolving standards. These requirements are especially strict in sectors like healthcare, finance, and public services. Managing diverse regional regulations can increase costs, delay implementation, and restrict expansion, making regulatory compliance a persistent challenge for companies deploying AI-driven automation technologies worldwide.

Covid-19 Impact:

The COVID-19 pandemic had a notable impact on the AI-driven automation market, driving accelerated adoption of digital and automated solutions. Lockdowns, workforce restrictions, and social distancing measures prompted organizations to reduce manual operations and implement AI-powered tools to sustain productivity. Industries such as healthcare, logistics, retail, and manufacturing increasingly leveraged AI for remote monitoring, predictive maintenance, and workflow automation. While economic uncertainty and budget limitations temporarily slowed some investments, the pandemic underscored the necessity for resilient, scalable systems capable of managing disruptions effectively. Overall, COVID-19 acted as a dual force-both challenging and propelling AI-driven automation-reshaping industry practices and highlighting its strategic role in post-pandemic growth.

The intelligent process automation (IPA) segment is expected to be the largest during the forecast period

The intelligent process automation (IPA) segment is expected to account for the largest market share during the forecast period as it merges robotic process automation with AI technologies, including machine learning and natural language processing. IPA allows companies to automate complex, cognitive tasks that go beyond simple, repetitive operations, improving efficiency and accuracy. Industries such as healthcare, finance, and manufacturing utilize IPA to streamline workflows, minimize errors, and enhance strategic decision-making. Its ability to analyze data, recognize patterns, and adjust to evolving scenarios makes IPA highly effective. By embedding IPA into business processes, organizations achieve increased productivity, reduced operational costs, and stronger competitive positioning, establishing it as the most prominent segment in the AI-driven automation market.

The automotive & transportation segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the automotive & transportation segment is predicted to witness the highest growth rate due to rising adoption of autonomous vehicles, connected mobility, and intelligent logistics systems. AI technologies allow real-time monitoring, predictive maintenance, and streamlined supply chain operations, boosting efficiency and lowering costs. Vehicle manufacturers and transportation operators increasingly implement AI-driven analytics, machine learning, and automation to enhance safety, minimize downtime, and elevate customer satisfaction. Additionally, the expansion of electric vehicles, smart traffic management, and self-driving technologies is fueling AI automation adoption. Collectively, these trends create a high-growth environment, making Automotive & Transportation the fastest-growing segment in the AI-driven automation market.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to its strong technological ecosystem, high AI adoption, and concentration of key industry players. Significant investments in research, well-established IT infrastructure, and favorable regulatory frameworks support innovation and market expansion. Industries including healthcare, finance, manufacturing, and telecommunications increasingly utilize AI automation to optimize processes, lower costs, and enhance decision-making capabilities. The presence of prominent AI technology companies and innovative startups in the U.S. and Canada contributes to rapid adoption. North America's proactive embrace of AI solutions and early deployment strategies establish it as the dominant region in the global AI-driven automation landscape.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR owing to rapid technological advancement, rising AI adoption, and significant investments in smart and digital infrastructure. Key countries, including China, India, Japan, and South Korea, are emphasizing Industry 4.0, intelligent manufacturing, and robotics, which fuel automation demand. The region benefits from emerging startups, government-backed innovation initiatives, and expanding industrial activities, all contributing to market growth. Organizations in sectors like healthcare, automotive, logistics, and manufacturing increasingly deploy AI-driven automation to boost efficiency, reduce costs, and optimize productivity. These trends position Asia-Pacific as the fastest-growing region in the global AI-driven automation landscape.

Key players in the market

Some of the key players in AI-Driven Automation Market include UiPath, Automation Anywhere, IBM watsonx, Infosys , HCLTech, Tata Consultancy Services (TCS), Wipro, Persistent Systems, Fractal Analytics, Addverb Technologies, Uncanny Vision, Unbox Robotics, Ripik.AI, Jidoka Technologies and Haber.

Key Developments:

In November 2025, Automation Anywhere and enterprise AI, has announced the acquisition of Aisera, a top provider of agentic AI solutions for autonomous IT. The deal unites two pioneers in automation and conversational AI to create the industry's most complete agentic automation platform, designed to deliver fully autonomous operations across departments such as IT, HR, and customer service.

In October 2025, UiPath has announced collaboration with NVIDIA to integrate advanced AI capabilities into enterprise automation, enabling high-trust applications such as fraud detection and healthcare management. The partnership combines UiPath's agentic automation expertise with NVIDIA's open Nemotron models and NVIDIA NIM, allowing organizations to deploy enterprise-ready AI models as microservices - including natural language processing, image understanding, and predictive analytics.

In October 2025, Infosys has landed a £1.2 billion contract from the NHS Business Services Authority (NHSBSA) to modernise its workforce management system in England and Wales, marking one of the largest deals in recent times amid a challenging macroeconomic environment. The mega deal comes nearly two years after the company won a $1.64 billion contract from Liberty Global. So far, the $3.2 billion deal with Germany's Daimler - which was signed during the pandemic in 2020 - is the biggest for Infosys.

Automation Types Covered:

  • Cognitive Automation
  • Agentic Automation
  • Intelligent Process Automation (IPA)
  • Event-driven / API-based Automation

Technologies Covered:

  • Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision

Applications Covered:

  • Finance & Accounting
  • Operations & Supply Chain
  • Marketing & Customer Experience
  • Manufacturing & Quality Control
  • Clinical & Healthcare Operations
  • Energy Infrastructure & Utilities

End Users Covered:

  • Telecom & IT
  • Automotive & Transportation
  • Pharma & Diagnostics
  • Food & Beverages
  • Energy & Chemicals
  • Advanced Materials

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 2024, 2025, 2026, 2028, and 2032
  • 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 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 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 AI-Driven Automation Market, By Automation Type

  • 5.1 Introduction
  • 5.2 Cognitive Automation
  • 5.3 Agentic Automation
  • 5.4 Intelligent Process Automation (IPA)
  • 5.5 Event-driven / API-based Automation

6 Global AI-Driven Automation Market, By Technology

  • 6.1 Introduction
  • 6.2 Machine Learning
    • 6.2.1 Supervised Learning
    • 6.2.2 Unsupervised Learning
    • 6.2.3 Reinforcement Learning
    • 6.2.4 Deep Learning
      • 6.2.4.1 Convolutional Neural Networks (CNN)
      • 6.2.4.2 Recurrent Neural Networks (RNN)
      • 6.2.4.3 Generative Adversarial Networks (GANs)
  • 6.3 Natural Language Processing (NLP)
  • 6.4 Computer Vision

7 Global AI-Driven Automation Market, By Application

  • 7.1 Introduction
  • 7.2 Finance & Accounting
  • 7.3 Operations & Supply Chain
  • 7.4 Marketing & Customer Experience
  • 7.5 Manufacturing & Quality Control
  • 7.6 Clinical & Healthcare Operations
  • 7.7 Energy Infrastructure & Utilities

8 Global AI-Driven Automation Market, By End User

  • 8.1 Introduction
  • 8.2 Telecom & IT
  • 8.3 Automotive & Transportation
  • 8.4 Pharma & Diagnostics
  • 8.5 Food & Beverages
  • 8.6 Energy & Chemicals
  • 8.7 Advanced Materials

9 Global AI-Driven Automation Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 UiPath
  • 11.2 Automation Anywhere
  • 11.3 IBM watsonx
  • 11.4 Infosys
  • 11.5 HCLTech
  • 11.6 Tata Consultancy Services (TCS)
  • 11.7 Wipro
  • 11.8 Persistent Systems
  • 11.9 Fractal Analytics
  • 11.10 Addverb Technologies
  • 11.11 Uncanny Vision
  • 11.12 Unbox Robotics
  • 11.13 Ripik.AI
  • 11.14 Jidoka Technologies
  • 11.15 Haber

List of Tables

  • Table 1 Global AI-Driven Automation Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI-Driven Automation Market Outlook, By Automation Type (2024-2032) ($MN)
  • Table 3 Global AI-Driven Automation Market Outlook, By Cognitive Automation (2024-2032) ($MN)
  • Table 4 Global AI-Driven Automation Market Outlook, By Agentic Automation (2024-2032) ($MN)
  • Table 5 Global AI-Driven Automation Market Outlook, By Intelligent Process Automation (IPA) (2024-2032) ($MN)
  • Table 6 Global AI-Driven Automation Market Outlook, By Event-driven / API-based Automation (2024-2032) ($MN)
  • Table 7 Global AI-Driven Automation Market Outlook, By Technology (2024-2032) ($MN)
  • Table 8 Global AI-Driven Automation Market Outlook, By Machine Learning (2024-2032) ($MN)
  • Table 9 Global AI-Driven Automation Market Outlook, By Supervised Learning (2024-2032) ($MN)
  • Table 10 Global AI-Driven Automation Market Outlook, By Unsupervised Learning (2024-2032) ($MN)
  • Table 11 Global AI-Driven Automation Market Outlook, By Reinforcement Learning (2024-2032) ($MN)
  • Table 12 Global AI-Driven Automation Market Outlook, By Deep Learning (2024-2032) ($MN)
  • Table 13 Global AI-Driven Automation Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 14 Global AI-Driven Automation Market Outlook, By Computer Vision (2024-2032) ($MN)
  • Table 15 Global AI-Driven Automation Market Outlook, By Application (2024-2032) ($MN)
  • Table 16 Global AI-Driven Automation Market Outlook, By Finance & Accounting (2024-2032) ($MN)
  • Table 17 Global AI-Driven Automation Market Outlook, By Operations & Supply Chain (2024-2032) ($MN)
  • Table 18 Global AI-Driven Automation Market Outlook, By Marketing & Customer Experience (2024-2032) ($MN)
  • Table 19 Global AI-Driven Automation Market Outlook, By Manufacturing & Quality Control (2024-2032) ($MN)
  • Table 20 Global AI-Driven Automation Market Outlook, By Clinical & Healthcare Operations (2024-2032) ($MN)
  • Table 21 Global AI-Driven Automation Market Outlook, By Energy Infrastructure & Utilities (2024-2032) ($MN)
  • Table 22 Global AI-Driven Automation Market Outlook, By End User (2024-2032) ($MN)
  • Table 23 Global AI-Driven Automation Market Outlook, By Telecom & IT (2024-2032) ($MN)
  • Table 24 Global AI-Driven Automation Market Outlook, By Automotive & Transportation (2024-2032) ($MN)
  • Table 25 Global AI-Driven Automation Market Outlook, By Pharma & Diagnostics (2024-2032) ($MN)
  • Table 26 Global AI-Driven Automation Market Outlook, By Food & Beverages (2024-2032) ($MN)
  • Table 27 Global AI-Driven Automation Market Outlook, By Energy & Chemicals (2024-2032) ($MN)
  • Table 28 Global AI-Driven Automation Market Outlook, By Advanced Materials (2024-2032) ($MN)

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