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市場調查報告書
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2024139

人工智慧市場預測：推動數位轉型至2034年——全球組件、部署模式、技術、應用、最終用戶和區域分析

AI in Digital Transformation Market Forecasts to 2034 - Global Analysis By Component (Solutions, Platforms and Services), Deployment, 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個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球數位轉型領域的 AI 市場規模將達到 486 億美元，並在預測期內以 4.3% 的複合年成長率成長，到 2034 年將達到 684 億美元。

在數位轉型背景下，人工智慧（AI）指的是將機器學習、自然語言處理、電腦視覺、機器人流程自動化（RPA）和生成式人工智慧等人工智慧技術策略性地應用於企業數位轉型計劃，作為其核心驅動力。這透過人工智慧驅動的自動化、智慧分析和自適應數位體驗的交付，重塑企業所有職能部門和客戶觸點的業務流程、客戶參與模式、員工生產力和營運架構。

執行長主導的數位轉型投資

在競爭顛覆的威脅和營運效率提升的雙重驅動下，執行長層級的數位轉型指南促使企業對人工智慧技術做出多年投資承諾，使其成為全球企業技術支出中佔比最大的類別。董事會層面對數位轉型成果的課責以及投資者對人工智慧驅動的生產力指標的嚴格審查，正促使企業將人工智慧的採用視為一項策略性生存必需，而不僅僅是可選項。即便在宏觀經濟不確定性日益加劇的情況下，企業人工智慧轉型平台採購仍持續成長。

舊有系統整合挑戰

龐大的傳統技術基礎設施遍布整個成熟企業，其帶來的債務負擔對人工智慧的整合構成了重大障礙。基於過時架構建構的業務線應用缺乏必要的API、資料存取和即時處理能力，而這些正是支援人工智慧驅動的工作流程自動化、智慧分析以及提供自適應客戶經驗（現代數位轉型的目標）所必需的。因此，要實現人工智慧轉型帶來的益處，就需要耗資大量資金進行現代化改造。

生成式人工智慧企業平台

部署生成式人工智慧企業平台，為加速轉型提供了千載難逢的機會。該平台能夠自動化知識工作、產生程式碼、創建內容，並開發用於客戶服務的大規模語言模型，從而顯著提升以往難以自動化的知識工作者任務的生產力，縮短數位轉型週期。投資企業級生成式人工智慧平台，能夠立即帶來可衡量的生產力提升，加速更廣泛的人工智慧轉型專案的推廣。

轉型計劃的失敗率

產業調查持續顯示，多數大規模轉型舉措未能達成預期目標，導致企業數位轉型專案失敗率居高不下。這加劇了企業內部的懷疑情緒，並促使企業在預算分配上更加謹慎，從而限制了對人工智慧轉型的投資，尤其是在一些備受矚目的轉型專案遭遇失敗之後。規避風險、優先考慮營運穩定性而非創新實驗的企業文化，限制了轉型專案的規模和速度，使其低於技術實際應用水準。

新冠疫情的影響：

新冠疫情將原本需要數年才能完成的數位轉型路線圖壓縮至數月之內，因為企業需要即時數位化通路能力、遠端辦公基礎設施和自動化流程執行，以在史無前例的營運中斷中維持業務永續營運。疫情期間，客戶和員工加速藍圖技術，促成了持久的行為模式轉變，使他們更傾向於數位互動，從而持續推動了轉型投資。疫情結束後，企業仍在繼續擴展在緊急轉型衝刺階段建構的基於人工智慧的數位化能力。

在預測期內，服務業預計將佔據最大佔有率。

在預測期內，服務領域預計將佔據最大的市場佔有率。這是因為企業對人工智慧數位轉型策略諮詢、專案管理、技術實施、變革管理以及持續轉型管理服務有著巨大的需求，而這些服務正是人工智慧轉型專案成功的關鍵價值交付機制。Accenture、德勤和Capgemini SA等領先顧問公司從人工智慧驅動的轉型專案中獲得的豐厚收入表明，服務在企業轉型投資組合中佔據主導地位。

預計在預測期內，雲端運算領域將呈現最高的複合年成長率。

在預測期內，雲端領域預計將呈現最高的成長率。這是因為企業逐漸意識到，雲端原生人工智慧平台架構是實現數位轉型目標的必要基礎架構，其速度、規模和成本效益足以證明轉型投資的合理性。此外，超大規模資料中心業者雲端平台提供整合的人工智慧服務、數據分析能力和應用開發環境，加速了各行業企業轉型計畫的實施，也推動了這項成長。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率。這主要歸功於美國企業在人工智慧數位轉型方面的人均投資額位居世界前列，涵蓋科技、金融服務、醫療保健和零售等行業；此外，Accenture、IBM 和德勤等領先的轉型服務供應商總部也設在北美，微軟、谷歌和亞馬遜等大型超大規模資料中心業者人工智慧平台也極大地推動了美國本土轉型技術和業務收益。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率。這主要歸功於中國、印度、日本和東南亞國家實施的國家數位轉型政策，從而帶動了前所未有的公共和私人人工智慧轉型投資；新興亞洲市場銀行業、製造業和零售業的快速數字化轉型；以及區域IT服務業能力的不斷提升，為大規模人工智慧轉型項目的實施提供了有力支持。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域分類
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章：全球數位轉型中的人工智慧市場：按組件分類

  • 解決方案
    • 詐欺偵測與安全
    • 供應鏈管理
    • 銷售與行銷自動化
    • 預測性保護
  • 平台
  • 服務
    • 諮詢和顧問服務
    • 實施與整合
    • 支援與維護

第6章：全球數位轉型中的人工智慧市場：以部署方式分類

  • 雲
  • 現場

第7章：全球數位轉型中的人工智慧市場：按技術分類

  • 機器學習
  • NLP
  • 電腦視覺
  • RPA

第8章：全球數位轉型中的人工智慧市場：按應用領域分類

  • 客戶經驗
  • 流程自動化
  • 商業智慧
  • 勞動力轉型

第9章：全球數位轉型中的人工智慧市場：按最終用戶分類

  • BFSI
  • 衛生保健
  • 媒體與娛樂
  • 製造業
  • 農業
  • 教育

第10章：全球數位轉型中的人工智慧市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • Accenture plc
  • IBM Corporation
  • Microsoft Corporation
  • SAP SE
  • Oracle Corporation
  • Cognizant Technology Solutions
  • Capgemini SE
  • Tata Consultancy Services
  • Infosys Limited
  • Wipro Limited
  • HCL Technologies
  • Deloitte
  • PwC
  • Google LLC
  • Amazon Web Services Inc.
  • ServiceNow Inc.
  • Salesforce Inc.
Product Code: SMRC35350

According to Stratistics MRC, the Global AI in Digital Transformation Market is accounted for $48.6 billion in 2026 and is expected to reach $68.4 billion by 2034 growing at a CAGR of 4.3% during the forecast period. AI in digital transformation refers to the strategic deployment of artificial intelligence technologies including machine learning, natural language processing, computer vision, robotic process automation, and generative AI as core enablers within enterprise digital transformation programs that reimagine business processes, customer engagement models, workforce productivity, and operational architecture through AI-powered automation, intelligent analytics, and adaptive digital experience delivery across all enterprise functions and customer touchpoints.

Market Dynamics:

Driver:

CEO Digital Mandate Investment

CEO-level digital transformation mandates driven by competitive disruption threat and operational efficiency imperative are generating multi-year AI technology investment commitments that represent the largest enterprise technology expenditure category globally. Board-level accountability for digital transformation outcomes and investor scrutiny of AI-enabled productivity improvement metrics are sustaining enterprise AI transformation platform procurement growth even during macroeconomic uncertainty cycles as organizations view AI adoption as a strategic survival requirement rather than discretionary spending.

Restraint:

Legacy System Integration Debt

Substantial legacy technology infrastructure debt across established enterprises creates significant AI integration barriers as core business applications built on outdated architectures lack the APIs, data accessibility, and real-time processing capabilities required to support AI-powered workflow automation, intelligent analytics, and adaptive customer experience delivery that define modern digital transformation target states, requiring costly modernization programs before AI transformation benefits can be realized.

Opportunity:

Generative AI Enterprise Platforms

Generative AI enterprise platform adoption represents a once-in-a-generation transformation acceleration opportunity as large language model capabilities for knowledge work automation, code generation, content creation, and customer service are compressing digital transformation timelines by enabling AI-powered productivity improvements in previously automation-resistant knowledge worker tasks. Enterprise generative AI platform investments are generating immediate measurable productivity outcomes that create momentum for broader AI transformation program expansion.

Threat:

Transformation Program Failure Rates

High enterprise digital transformation program failure rates, with industry surveys consistently reporting majority of large-scale transformation initiatives failing to achieve intended outcomes, create organizational skepticism and budget allocation caution that constrains AI transformation investment commitments particularly following high-visibility transformation program write-downs. Risk-averse enterprise cultures prioritizing operational stability over innovation experimentation limit transformation program scope and velocity below technology availability levels.

Covid-19 Impact:

COVID-19 compressed multi-year digital transformation roadmaps into months as organizations required immediate digital channel capability, remote work infrastructure, and automated process execution to maintain business continuity during unprecedented operational disruptions. Pandemic-era digital adoption acceleration by customers and employees created permanent behavioral shifts toward digital interaction preferences that sustain transformation investment. Post-pandemic organizations continue expanding AI-powered digital capabilities built during emergency transformation sprints.

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

The services segment is expected to account for the largest market share during the forecast period, due to massive enterprise demand for AI digital transformation strategy consulting, program management, technology implementation, change management, and ongoing transformation managed services that represent the primary value delivery mechanism for AI transformation program success. Major consulting firms including Accenture, Deloitte, and Capgemini generating substantial revenue from AI-enabled transformation engagements demonstrate the dominant services component in enterprise transformation investment portfolios.

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

Over the forecast period, the Cloud segment is predicted to witness the highest growth rate, driven by enterprise recognition that cloud-native AI platform architectures represent the foundational infrastructure required to deliver digital transformation outcomes at the speed, scale, and cost economics that justify transformation investment, with hyperscaler cloud platforms providing the integrated AI services, data analytics capabilities, and application development environments that accelerate enterprise transformation program delivery across diverse industry verticals.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to United States enterprises representing the world's highest AI digital transformation investment per company across technology, financial services, healthcare, and retail sectors, combined with leading transformation services providers including Accenture, IBM, and Deloitte headquartered in North America and major hyperscaler AI platforms from Microsoft, Google, and Amazon driving substantial domestic transformation technology and services revenue.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to China, India, Japan, and Southeast Asian economies implementing national digital transformation agendas generating public and private AI transformation investment at unprecedented scale, rapid enterprise digital adoption across banking, manufacturing, and retail sectors in emerging Asian markets, and expanding regional IT services sector capabilities enabling large-scale AI transformation program delivery.

Key players in the market

Some of the key players in AI in Digital Transformation Market include Accenture plc, IBM Corporation, Microsoft Corporation, SAP SE, Oracle Corporation, Cognizant Technology Solutions, Capgemini SE, Tata Consultancy Services, Infosys Limited, Wipro Limited, HCL Technologies, Deloitte, PwC, Google LLC, Amazon Web Services Inc., ServiceNow Inc., and Salesforce Inc..

Key Developments:

In March 2026, Accenture plc launched an AI-powered enterprise transformation acceleration platform combining generative AI implementation toolkits with change management automation for large-scale digital transformation program delivery.

In January 2026, ServiceNow Inc. expanded its AI-powered workflow automation capabilities with new industry-specific digital transformation templates enabling rapid enterprise process digitalization across healthcare, financial services, and manufacturing.

In November 2025, Infosys Limited secured a major digital transformation contract deploying AI-powered process automation and customer experience platforms across a global insurance group operational modernization program.

Components Covered:

  • Solutions
  • Platforms
  • Services

Deployments Covered:

  • Cloud
  • On-Premise

Technologies Covered:

  • Machine Learning
  • NLP
  • Computer Vision
  • RPA

Applications Covered:

  • Customer Experience
  • Process Automation
  • Business Intelligence
  • Workforce Transformation

End Users Covered:

  • BFSI
  • Healthcare
  • Media & Entertainment
  • Manufacturing
  • Agriculture
  • Education

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • 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

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI in Digital Transformation Market, By Component

  • 5.1 Solutions
    • 5.1.1 Fraud Detection & Security
    • 5.1.2 Supply Chain Management
    • 5.1.3 Sales & Marketing Automation
    • 5.1.4 Predictive Maintenance
  • 5.2 Platforms
  • 5.3 Services
    • 5.3.1 Consulting & Advisory
    • 5.3.2 Implementation & Integration
    • 5.3.3 Support & Maintenance

6 Global AI in Digital Transformation Market, By Deployment

  • 6.1 Cloud
  • 6.2 On-Premise

7 Global AI in Digital Transformation Market, By Technology

  • 7.1 Machine Learning
  • 7.2 NLP
  • 7.3 Computer Vision
  • 7.4 RPA

8 Global AI in Digital Transformation Market, By Application

  • 8.1 Customer Experience
  • 8.2 Process Automation
  • 8.3 Business Intelligence
  • 8.4 Workforce Transformation

9 Global AI in Digital Transformation Market, By End User

  • 9.1 BFSI
  • 9.2 Healthcare
  • 9.3 Media & Entertainment
  • 9.4 Manufacturing
  • 9.5 Agriculture
  • 9.6 Education

10 Global AI in Digital Transformation Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Accenture plc
  • 13.2 IBM Corporation
  • 13.3 Microsoft Corporation
  • 13.4 SAP SE
  • 13.5 Oracle Corporation
  • 13.6 Cognizant Technology Solutions
  • 13.7 Capgemini SE
  • 13.8 Tata Consultancy Services
  • 13.9 Infosys Limited
  • 13.10 Wipro Limited
  • 13.11 HCL Technologies
  • 13.12 Deloitte
  • 13.13 PwC
  • 13.14 Google LLC
  • 13.15 Amazon Web Services Inc.
  • 13.16 ServiceNow Inc.
  • 13.17 Salesforce Inc.

List of Tables

  • Table 1 Global AI in Digital Transformation Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI in Digital Transformation Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global AI in Digital Transformation Market Outlook, By Solutions (2023-2034) ($MN)
  • Table 4 Global AI in Digital Transformation Market Outlook, By Fraud Detection & Security (2023-2034) ($MN)
  • Table 5 Global AI in Digital Transformation Market Outlook, By Supply Chain Management (2023-2034) ($MN)
  • Table 6 Global AI in Digital Transformation Market Outlook, By Sales & Marketing Automation (2023-2034) ($MN)
  • Table 7 Global AI in Digital Transformation Market Outlook, By Predictive Maintenance (2023-2034) ($MN)
  • Table 8 Global AI in Digital Transformation Market Outlook, By Platforms (2023-2034) ($MN)
  • Table 9 Global AI in Digital Transformation Market Outlook, By Services (2023-2034) ($MN)
  • Table 10 Global AI in Digital Transformation Market Outlook, By Consulting & Advisory (2023-2034) ($MN)
  • Table 11 Global AI in Digital Transformation Market Outlook, By Implementation & Integration (2023-2034) ($MN)
  • Table 12 Global AI in Digital Transformation Market Outlook, By Support & Maintenance (2023-2034) ($MN)
  • Table 13 Global AI in Digital Transformation Market Outlook, By Deployment (2023-2034) ($MN)
  • Table 14 Global AI in Digital Transformation Market Outlook, By Cloud (2023-2034) ($MN)
  • Table 15 Global AI in Digital Transformation Market Outlook, By On-Premise (2023-2034) ($MN)
  • Table 16 Global AI in Digital Transformation Market Outlook, By Technology (2023-2034) ($MN)
  • Table 17 Global AI in Digital Transformation Market Outlook, By Machine Learning (2023-2034) ($MN)
  • Table 18 Global AI in Digital Transformation Market Outlook, By NLP (2023-2034) ($MN)
  • Table 19 Global AI in Digital Transformation Market Outlook, By Computer Vision (2023-2034) ($MN)
  • Table 20 Global AI in Digital Transformation Market Outlook, By RPA (2023-2034) ($MN)
  • Table 21 Global AI in Digital Transformation Market Outlook, By Application (2023-2034) ($MN)
  • Table 22 Global AI in Digital Transformation Market Outlook, By Customer Experience (2023-2034) ($MN)
  • Table 23 Global AI in Digital Transformation Market Outlook, By Process Automation (2023-2034) ($MN)
  • Table 24 Global AI in Digital Transformation Market Outlook, By Business Intelligence (2023-2034) ($MN)
  • Table 25 Global AI in Digital Transformation Market Outlook, By Workforce Transformation (2023-2034) ($MN)
  • Table 26 Global AI in Digital Transformation Market Outlook, By End User (2023-2034) ($MN)
  • Table 27 Global AI in Digital Transformation Market Outlook, By BFSI (2023-2034) ($MN)
  • Table 28 Global AI in Digital Transformation Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 29 Global AI in Digital Transformation Market Outlook, By Media & Entertainment (2023-2034) ($MN)
  • Table 30 Global AI in Digital Transformation Market Outlook, By Manufacturing (2023-2034) ($MN)
  • Table 31 Global AI in Digital Transformation Market Outlook, By Agriculture (2023-2034) ($MN)
  • Table 32 Global AI in Digital Transformation Market Outlook, By Education (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.