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到 2030 年自動化市場中的生成式 AI 預測：按解決方案類型、組織規模、部署類型、技術、應用程式、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，到 2024 年，自動化領域的生成式 AI 的全球市場將達到 14.095 億美元，預計在預測期內將以 16.3% 的複合年成長率成長，到 2030 年達到 34.878 億美元。

自動化中的生成式人工智慧是指使用人工智慧技術，可以從現有資料中學習，自主創建內容、設計和解決方案。這種方法利用深度學習和神經網路等先進演算法，根據訓練資料中識別的模式產生新的輸出，例如文字、圖像甚至軟體程式碼。在自動化領域，生成式人工智慧透過最佳化工作流程、改進決策以及創建個人化解決方案來增強流程，從而提高各行業的效率和生產力。

Gartner 預測，到 2024 年，RPA、虛擬助理和人工智慧等自動化技術可將業務成本降低多達 30%。

個性化需求不斷成長

隨著自動化市場對個人化的需求不斷成長，人們越來越期望客戶服務和產品推薦等客製化體驗。生成式人工智慧擅長分析龐大的資料集，以產生個人化的解決方案並提高客戶滿意度和參與度。在電子商務、行銷和娛樂等領域，人工智慧驅動的自動化可以實現大規模即時客製化，滿足個人偏好，同時提高業務效率。這種對個人化互動的需求正在推動公司採用生成式人工智慧技術，從而推動自動化市場的成長和創新。

實施成本高

對於許多公司來說，考慮到基礎設施、軟體和熟練人力資源的相關成本，很難分配足夠的預算將生成式人工智慧整合到現有工作流程中。此外，由於模型需要大量客製化和微調以滿足特定組織的需求，這些成本可能會增加。公司不願意在沒有保證回報的情況下進行大規模投資，這可能會導致採用率降低並抑制整體市場成長。

將應用擴展到產業之外

生成式人工智慧的使用正在擴展到各行業的個人化行銷、內容創建、資料分析和客戶服務自動化等多種應用。這種多功能性使企業能夠提高業務效率並提高用戶參與度。醫療保健、金融和媒體等領域正在利用生成式人工智慧提供創新解決方案，從而推動對人工智慧技術的需求和投資。隨著科技的發展，新的機會不斷被創造，市場正以驚人的速度向前發展。

監管挑戰

合規性和風險管理的複雜性帶來了監管挑戰。特別是隨著歐盟和美國政府推動人工智慧法等嚴格法規，企業必須應對高影響力人工智慧系統風險評估等各種要求。這些法規可能會減緩產品開發速度，對被認為不可接受的人工智慧使用施加限制，並造成責任和課責的不確定性，抑制投資和創新並減少市場可能會進一步阻礙成長。

COVID-19 的影響

COVID-19 大流行加速了自動化市場中生成式 AI 的採用，因為公司試圖在勞動力中斷的情況下維持業務。向遠距工作的轉變和數位轉型的需求促使公司轉向人工智慧主導的自動化來最佳化流程、降低成本並提高生產力。然而，最初的供應鏈中斷和經濟不確定性減緩了對人工智慧技術的投資。隨著經濟復甦的進展，對自動化的需求激增，將生成式人工智慧定位為復原力和未來成長的重要工具。

軟體部分預計將在預測期內成為最大的部分

預計軟體部門將在整個預測期內獲得最大的市場佔有率。這是由於生成式人工智慧功能擴大整合到現有軟體應用程式中，以增強金融、醫療保健和製造等多個行業的自動化流程。這種整合可以改善決策、最佳化流程並提高生產力。微軟和 IBM 等領先公司正專注於開發支援自動化工作流程的人工智慧軟體，例如智慧聊天機器人和機器人流程自動化 (RPA)，從而推動市場成長。

媒體和娛樂領域預計在預測期內複合年成長率最高

由於內容創作和個人化的增強，媒體和娛樂領域預計在預測期內將顯著成長。生成式人工智慧工具被用來開發更具吸引力的廣告宣傳並最佳化定價策略，使企業能夠根據個人客戶的偏好客製化報價。此外，隨著公司希望利用資料進行更有效的行銷和內容傳送，這些技術的整合預計將繼續推動該領域的成長。

比最大的地區

在預測期內，由於深度學習演算法的進步、雲端基礎的解決方案的不斷採用以及媒體、電子商務、人工智慧等領域對人工智慧生成內容的需求不斷成長，預計亞太地區將佔據最大的市場佔有率。和醫療保健。在促進人工智慧創新和投資的政府舉措的支持下，中國和印度等國家在採用方面處於領先地位。此外，年輕員工在加速生成式人工智慧跨產業融合方面發揮關鍵作用。

複合年成長率最高的地區

在預測期內，由於北美地區先進的技術基礎設施以及IBM、微軟和谷歌等主要企業的大量投資，預計其複合年成長率最高。企業擴大將生成式人工智慧與自動化、內容生成和預測分析等關鍵應用結合起來，以提高業務、簡化營運並改善客戶體驗。該地區對研發以及高科技公司和新興企業之間合作的重視進一步推動了這一成長。

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  • 公司簡介
    • 其他市場參與企業的綜合分析（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/複合年成長率（註：基於可行性檢查）
  • 競爭標基準化分析
    • 按產品系列、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

  • 介紹
  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 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章自動化市場中的全球生成式人工智慧：按解決方案類型

  • 介紹
  • 軟體
  • 服務
  • 其他

第6章自動化領域的全球生成人工智慧市場：依組織規模

  • 介紹
  • 小型企業
  • 主要企業
  • 其他

第7章全球自動化生成人工智慧市場：按部署類型

  • 介紹
  • 雲端基礎
  • 本地
  • 混合
  • 其他

第8章全球自動化生成人工智慧市場：依技術分類

  • 介紹
  • 自然語言處理（NLP）
  • 機器學習（ML）
  • 電腦視覺
  • 深度學習
  • 強化學習
  • 其他

第9章自動化領域的全球生成式人工智慧市場：按應用分類

  • 介紹
  • 聊天機器人和虛擬助理
  • 內容創作
  • 影像和視訊生成
  • 資料生成和擴展
  • 自動報告
  • 程式碼生成
  • 其他

第 10 章自動化市場中的全球生成式人工智慧：按最終用戶分類

  • 介紹
  • 醫療保健
  • 零售與電子商務
  • 製造業
  • 通訊
  • 媒體和娛樂
  • 車
  • 其他

第11章自動化市場中的全球生成式人工智慧：按地區

  • 介紹
  • 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
    • 歐洲其他地區
  • 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/非洲

第12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13章 公司概況

  • 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.