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市场调查报告书
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到 2030 年自动化市场中的生成式 AI 预测：按解决方案类型、组织规模、部署类型、技术、应用程式、最终用户和地区进行的全球分析

Generative AI in Automation Market Forecasts to 2030 - Global Analysis By Solution Type (Software, Services and Other Solution Types), Organization Size, Deployment Mode, Technology, Application, 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，到 2024 年，自动化领域的生成式 AI 的全球市场将达到 14.095 亿美元，预计在预测期内将以 16.3% 的复合年增长率增长，到 2030 年达到 34.878 亿美元。

自动化中的生成式人工智慧是指使用人工智慧技术，可以从现有资料中学习，自主创建内容、设计和解决方案。这种方法利用深度学习和神经网路等先进演算法，根据训练资料中识别的模式产生新的输出，例如文字、图像甚至软体程式码。在自动化领域，生成式人工智慧透过优化工作流程、改进决策以及创建个人化解决方案来增强流程，从而提高各行业的效率和生产力。

Gartner 预测，到 2024 年，RPA、虚拟助理和人工智慧等自动化技术可将业务成本降低多达 30%。

个性化需求不断成长

随着自动化市场对个人化的需求不断增长，人们越来越期望客户服务和产品推荐等客製化体验。生成式人工智慧擅长分析庞大的资料集，以产生个人化的解决方案并提高客户满意度和参与度。在电子商务、行销和娱乐等领域，人工智慧驱动的自动化可以实现大规模即时客製化，满足个人偏好，同时提高业务效率。这种对个人化互动的需求正在推动公司采用生成式人工智慧技术，从而推动自动化市场的成长和创新。

实施成本高

对于许多公司来说，考虑到基础设施、软体和熟练人力资源的相关成本，很难分配足够的预算将生成式人工智慧整合到现有工作流程中。此外，由于模型需要大量客製化和微调以满足特定组织的需求，这些成本可能会增加。公司不愿意在没有保证回报的情况下进行大规模投资，这可能会导致采用率降低并抑制整体市场成长。

将应用扩展到产业之外

生成式人工智慧的使用正在扩展到各行业的个人化行销、内容创建、资料分析和客户服务自动化等多种应用。这种多功能性使企业能够提高业务效率并提高用户参与度。医疗保健、金融和媒体等领域正在利用生成式人工智慧提供创新解决方案，从而推动对人工智慧技术的需求和投资。随着科技的发展，新的机会不断被创造，市场正以惊人的速度向前发展。

监管挑战

合规性和风险管理的复杂性带来了监管挑战。特别是随着欧盟和美国政府推动人工智慧法等严格法规，企业必须应对高影响力人工智慧系统风险评估等各种要求。这些法规可能会减缓产品开发速度，对被认为不可接受的人工智慧使用施加限制，并造成责任和课责的不确定性，抑制投资和创新并减少市场可能会进一步阻碍成长。

COVID-19 的影响

COVID-19 大流行加速了自动化市场中生成式 AI 的采用，因为公司试图在劳动力中断的情况下维持业务。向远距工作的转变和数位转型的需求促使公司转向人工智慧主导的自动化来优化流程、降低成本并提高生产力。然而，最初的供应链中断和经济不确定性减缓了对人工智慧技术的投资。随着经济復苏的进展，对自动化的需求激增，将生成式人工智慧定位为復原力和未来成长的重要工具。

软体部分预计将在预测期内成为最大的部分

预计软体部门将在整个预测期内获得最大的市场占有率。这是由于生成式人工智慧功能越来越多地整合到现有软体应用程式中，以增强金融、医疗保健和製造等多个行业的自动化流程。这种整合可以改善决策、优化流程并提高生产力。微软和 IBM 等领先公司正专注于开发支援自动化工作流程的人工智慧软体，例如智慧聊天机器人和机器人流程自动化 (RPA)，从而推动市场成长。

媒体和娱乐领域预计在预测期内复合年增长率最高

由于内容创作和个人化的增强，媒体和娱乐领域预计在预测期内将显着增长。生成式人工智慧工具被用来开发更具吸引力的广告宣传并优化定价策略，使企业能够根据个人客户的偏好客製化报价。此外，随着公司希望利用资料进行更有效的营销和内容传送，这些技术的整合预计将继续推动该领域的成长。

比最大的地区

在预测期内，由于深度学习演算法的进步、云端基础的解决方案的不断采用以及媒体、电子商务、人工智慧等领域对人工智慧生成内容的需求不断增长，预计亚太地区将占据最大的市场占有率。和医疗保健。在促进人工智慧创新和投资的政府倡议的支持下，中国和印度等国家在采用方面处于领先地位。此外，年轻员工在加速生成式人工智慧跨产业融合方面发挥关键作用。

复合年增长率最高的地区

在预测期内，由于北美地区先进的技术基础设施以及IBM、微软和谷歌等主要企业的大量投资，预计其复合年增长率最高。企业越来越多地将生成式人工智慧与自动化、内容生成和预测分析等关键应用结合起来，以提高业务、简化营运并改善客户体验。该地区对研发以及高科技公司和新兴企业之间合作的重视进一步推动了这一成长。

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
    • 其他市场参与企业的综合分析（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/复合年增长率（註：基于可行性检查）
  • 竞争标基准化分析
    • 按产品系列、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

  • 介绍
  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 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

第五章自动化市场中的全球生成式人工智慧：按解决方案类型

  • 介绍
  • 软体
  • 服务
  • 其他的

第六章自动化领域的全球生成人工智慧市场：依组织规模

  • 介绍
  • 小型企业
  • 大公司
  • 其他的

第七章全球自动化生成人工智慧市场：按部署类型

  • 介绍
  • 云端基础
  • 本地
  • 混合
  • 其他的

第八章全球自动化生成人工智慧市场：依技术分类

  • 介绍
  • 自然语言处理（NLP）
  • 机器学习（ML）
  • 电脑视觉
  • 深度学习
  • 强化学习
  • 其他的

第九章自动化领域的全球生成式人工智慧市场：按应用分类

  • 介绍
  • 聊天机器人和虚拟助理
  • 内容创作
  • 影像和视讯生成
  • 资料生成和扩展
  • 自动报告
  • 程式码生成
  • 其他的

第 10 章自动化市场中的全球生成式人工智慧：按最终用户分类

  • 介绍
  • 医疗保健
  • 零售与电子商务
  • 製造业
  • 通讯
  • 媒体和娱乐
  • 车
  • 其他的

第十一章自动化市场中的全球生成式人工智慧：按地区

  • 介绍
  • 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
    • 欧洲其他地区
  • 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/非洲

第十二章 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

第十三章 公司概况

  • OpenAI
  • Google DeepMind
  • Microsoft
  • International Business Machines Corporation（IBM）
  • NVIDIA
  • Salesforce
  • Adobe
  • C3.ai
  • Hugging Face
  • DataRobot
  • UiPath
  • Appen
  • Twilio
  • Zoho
  • Botpress
  • SingularityNET
  • Algolia
  • PaddlePaddle
  • KAI Technologies
Product Code: SMRC27641

According to Stratistics MRC, the Global Generative AI in Automation Market is accounted for $1409.5 million in 2024 and is expected to reach $3487.8 million by 2030 growing at a CAGR of 16.3% during the forecast period. Generative AI in automation refers to the use of artificial intelligence technologies that can create content, designs, or solutions autonomously by learning from existing data. This approach leverages advanced algorithms, such as deep learning and neural networks, to generate new outputs, including text, images, and even software code, based on patterns recognized in the training data. In automation, generative AI enhances processes by optimizing workflows, improving decision-making, and enabling the creation of personalized solutions, thereby increasing efficiency and productivity across various industries.

According to Gartner's predictions, Automation technologies like RPA, virtual assistants and artificial intelligence can reduce operational costs as much as 30% by 2024.

Market Dynamics:

Driver:

Growing demand for personalization

The growing demand for personalization in automation market increasingly expects tailored experiences, whether in customer service, product recommendations. Generative AI excels at analyzing vast datasets to generate personalized solutions, enhancing customer satisfaction and engagement. In sectors like e-commerce, marketing, and entertainment, AI-driven automation enables real-time customization at scale, improving operational efficiency while meeting individual preferences. This demand for personalized interactions pushes businesses to adopt generative AI technologies, driving growth and innovation in the automation market.

Restraint:

High implementation costs

High implementation costs in many businesses find it challenging to allocate sufficient budgets for integrating generative AI into their existing workflows, given the costs associated with infrastructure, software, and skilled personnel. Furthermore, the need for extensive customization and fine-tuning of models to fit specific organizational needs can increase these expenses. Companies may hesitate to invest heavily without guaranteed returns, leading to slower adoption rates and limiting the overall growth of the market.

Opportunity:

Expanding applications across industries

The expanding applications of generative AI across various industries for diverse uses, including personalized marketing, content creation, data analysis, and customer service automation. This versatility allows businesses to enhance operational efficiency and improve user engagement. Sectors like healthcare, finance, and media are leveraging generative AI for innovative solutions, driving demand and investment in AI technologies. As the technology evolves, it continues to create new opportunities, pushing the market forward at an impressive pace.

Threat:

Regulatory challenges

Regulatory challenges are introduced by complexities around compliance and risk management. As governments, particularly in the EU and US, move toward stringent regulations like the AI Act, businesses must adapt to various requirements, including risk assessments for high-impact AI systems. These regulations can slow product development, impose limitations on AI applications deemed unacceptable, and create uncertainties regarding liability and accountability, potentially discouraging investment and innovation, further hampering the growth of the market.

Covid-19 Impact

The COVID-19 pandemic accelerated the adoption of generative AI in the automation market as companies sought to maintain operations amid workforce disruptions. With the shift to remote work and the need for digital transformation, businesses turned to AI-driven automation for process optimization, cost reduction, and enhanced productivity. However, initial supply chain disruptions and economic uncertainty slowed investments in AI technologies. As recovery progressed, demand for automation surged, positioning generative AI as a critical tool for resilience and future growth.

The software segment is expected to be the largest during the forecast period

The software segment is predicted to secure the largest market share throughout the forecast period, due to increase integrate generative AI capabilities into existing software applications, it enhances automation processes across various industries, including finance, healthcare, and manufacturing. This integration allows for improved decision-making, process optimization, and productivity gains. Major companies like Microsoft and IBM are focusing on developing AI-enabled software that can support automated workflows, such as intelligent chatbot and robotic process automation (RPA), fuelling the growth of the market.

The media and entertainment segment is expected to have the highest CAGR during the forecast period

The media and entertainment segment is projected to witness substantial growth during the projection period, due to enhanced content creation and personalization. Generative AI tools are being utilized to develop more engaging advertising campaigns and optimize pricing strategies, enabling companies to tailor offers to individual customer preferences. Additionally, the integration of these technologies is expected to continue propelling growth in this sector, as companies seek to leverage data for more effective marketing and content delivery.

Region with largest share:

During the projected timeframe, the Asia Pacific region is expected to hold the largest market share due to driven by advancements in deep learning algorithms, increased adoption of cloud-based solutions, and a rising demand for AI-generated content across sectors like media, e-commerce, and healthcare. Countries like China and India are leading in adoption, supported by government initiatives fostering AI innovation and investment. Additionally, young employees are playing a pivotal role in accelerating the integration of Generative AI in various industries.

Region with highest CAGR:

Over the forecasted timeframe, the North America region is anticipated to exhibit the highest CAGR, owing to advanced technological infrastructure and significant investments from leading companies like IBM, Microsoft, and Google. Companies are increasingly leveraging generative AI to enhance productivity, streamline operations, and improve customer experiences, with significant applications in automation, content generation, and predictive analytics. The region's focus on research and development and collaborations between tech companies and start-ups further fuels this growth.

Key players in the market

Some of the key players profiled in the Generative AI in Automation Market include OpenAI, Google DeepMind, Microsoft, International Business Machines Corporation (IBM), NVIDIA, Salesforce, Adobe, C3.ai, Hugging Face, DataRobot, UiPath, Appen, Twilio, Zoho, Botpress, SingularityNET, Algolia, PaddlePaddle and KAI Technologies.

Key Developments:

In April 2024, Microsoft and The Coca-Cola Company announced a five-year strategic partnership. This collaboration, with Coca-Cola committing $1.1 billion, focuses on enhancing cloud services and generative AI capabilities. The partnership aims to leverage Microsoft's Azure OpenAI Service to improve various business functions, from marketing to supply chain operations.

In January 2024, Microsoft entered a 10-year partnership with Vodafone. This deal aims to enhance customer experiences using Microsoft's generative AI, particularly for small and medium-sized enterprises (SMEs). Vodafone plans to invest $1.5 billion in cloud and AI services, and the partnership will also expand the M-Pesa platform to improve financial inclusion in Africa.

In January 2024, IBM signed a definitive agreement to acquire application modernization capabilities from Advanced. This move aims to bolster IBM Consulting's mainframe application and data modernization services.

Solution Types Covered:

  • Software
  • Services
  • Other Solution Types

Organization Sizes Covered:

  • Small and Medium Enterprises (SMEs)
  • Large Enterprises
  • Other Organization Sizes

Deployment Modes Covered:

  • Cloud-based
  • On-premises
  • Hybrid
  • Other Deployment Modes

Technologies Covered:

  • Natural Language Processing (NLP)
  • Machine Learning (ML)
  • Computer Vision
  • Deep Learning
  • Reinforcement Learning
  • Other Technologies

Applications Covered:

  • Chatbot and Virtual Assistants
  • Content Creation
  • Image and Video Generation
  • Data Generation and Augmentation
  • Automated Reporting
  • Code Generation
  • Other Applications

End Users Covered:

  • Healthcare
  • Retail and E-commerce
  • Manufacturing
  • Telecommunications
  • Media and Entertainment
  • Automotive
  • 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 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 Generative AI in Automation Market, By Solution Type

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Services
  • 5.4 Other Solution Types

6 Global Generative AI in Automation Market, By Organization Size

  • 6.1 Introduction
  • 6.2 Small and Medium Enterprises (SMEs)
  • 6.3 Large Enterprises
  • 6.4 Other Organization Sizes

7 Global Generative AI in Automation Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 Cloud-based
  • 7.3 On-premises
  • 7.4 Hybrid
  • 7.5 Other Deployment Modes

8 Global Generative AI in Automation Market, By Technology

  • 8.1 Introduction
  • 8.2 Natural Language Processing (NLP)
  • 8.3 Machine Learning (ML)
  • 8.4 Computer Vision
  • 8.5 Deep Learning
  • 8.6 Reinforcement Learning
  • 8.7 Other Technologies

9 Global Generative AI in Automation Market, By Application

  • 9.1 Introduction
  • 9.2 Chatbots and Virtual Assistants
  • 9.3 Content Creation
  • 9.4 Image and Video Generation
  • 9.5 Data Generation and Augmentation
  • 9.6 Automated Reporting
  • 9.7 Code Generation
  • 9.8 Other Applications

10 Global Generative AI in Automation Market, By End User

  • 10.1 Introduction
  • 10.2 Healthcare
  • 10.3 Retail and E-commerce
  • 10.4 Manufacturing
  • 10.5 Telecommunications
  • 10.6 Media and Entertainment
  • 10.7 Automotive
  • 10.8 Other End Users

11 Global Generative AI in Automation Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 OpenAI
  • 13.2 Google DeepMind
  • 13.3 Microsoft
  • 13.4 International Business Machines Corporation (IBM)
  • 13.5 NVIDIA
  • 13.6 Salesforce
  • 13.7 Adobe
  • 13.8 C3.ai
  • 13.9 Hugging Face
  • 13.10 DataRobot
  • 13.11 UiPath
  • 13.12 Appen
  • 13.13 Twilio
  • 13.14 Zoho
  • 13.15 Botpress
  • 13.16 SingularityNET
  • 13.17 Algolia
  • 13.18 PaddlePaddle
  • 13.19 KAI Technologies

List of Tables

  • Table 1 Global Generative AI in Automation Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Generative AI in Automation Market Outlook, By Solution Type (2022-2030) ($MN)
  • Table 3 Global Generative AI in Automation Market Outlook, By Software (2022-2030) ($MN)
  • Table 4 Global Generative AI in Automation Market Outlook, By Services (2022-2030) ($MN)
  • Table 5 Global Generative AI in Automation Market Outlook, By Other Solution Types (2022-2030) ($MN)
  • Table 6 Global Generative AI in Automation Market Outlook, By Organization Size (2022-2030) ($MN)
  • Table 7 Global Generative AI in Automation Market Outlook, By Small and Medium Enterprises (SMEs) (2022-2030) ($MN)
  • Table 8 Global Generative AI in Automation Market Outlook, By Large Enterprises (2022-2030) ($MN)
  • Table 9 Global Generative AI in Automation Market Outlook, By Other Organization Sizes (2022-2030) ($MN)
  • Table 10 Global Generative AI in Automation Market Outlook, By Deployment Mode (2022-2030) ($MN)
  • Table 11 Global Generative AI in Automation Market Outlook, By Cloud-based (2022-2030) ($MN)
  • Table 12 Global Generative AI in Automation Market Outlook, By On-premises (2022-2030) ($MN)
  • Table 13 Global Generative AI in Automation Market Outlook, By Hybrid (2022-2030) ($MN)
  • Table 14 Global Generative AI in Automation Market Outlook, By Other Deployment Modes (2022-2030) ($MN)
  • Table 15 Global Generative AI in Automation Market Outlook, By Technology (2022-2030) ($MN)
  • Table 16 Global Generative AI in Automation Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
  • Table 17 Global Generative AI in Automation Market Outlook, By Machine Learning (ML) (2022-2030) ($MN)
  • Table 18 Global Generative AI in Automation Market Outlook, By Computer Vision (2022-2030) ($MN)
  • Table 19 Global Generative AI in Automation Market Outlook, By Deep Learning (2022-2030) ($MN)
  • Table 20 Global Generative AI in Automation Market Outlook, By Reinforcement Learning (2022-2030) ($MN)
  • Table 21 Global Generative AI in Automation Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 22 Global Generative AI in Automation Market Outlook, By Application (2022-2030) ($MN)
  • Table 23 Global Generative AI in Automation Market Outlook, By Chatbots and Virtual Assistants (2022-2030) ($MN)
  • Table 24 Global Generative AI in Automation Market Outlook, By Content Creation (2022-2030) ($MN)
  • Table 25 Global Generative AI in Automation Market Outlook, By Image and Video Generation (2022-2030) ($MN)
  • Table 26 Global Generative AI in Automation Market Outlook, By Data Generation and Augmentation (2022-2030) ($MN)
  • Table 27 Global Generative AI in Automation Market Outlook, By Automated Reporting (2022-2030) ($MN)
  • Table 28 Global Generative AI in Automation Market Outlook, By Code Generation (2022-2030) ($MN)
  • Table 29 Global Generative AI in Automation Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 30 Global Generative AI in Automation Market Outlook, By End User (2022-2030) ($MN)
  • Table 31 Global Generative AI in Automation Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 32 Global Generative AI in Automation Market Outlook, By Retail and E-commerce (2022-2030) ($MN)
  • Table 33 Global Generative AI in Automation Market Outlook, By Manufacturing (2022-2030) ($MN)
  • Table 34 Global Generative AI in Automation Market Outlook, By Telecommunications (2022-2030) ($MN)
  • Table 35 Global Generative AI in Automation Market Outlook, By Media and Entertainment (2022-2030) ($MN)
  • Table 36 Global Generative AI in Automation Market Outlook, By Automotive (2022-2030) ($MN)
  • Table 37 Global Generative AI in 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.