計劃管理人工智慧市場規模、佔有率和成長分析（按組件、部署模式、組織規模、應用、最終用戶產業和地區分類）－產業預測（2026-2033）

預計到 2024 年，全球人工智慧在計劃管理領域的市場規模將達到 29.3 億美元，到 2025 年將成長至 34.4 億美元，到 2033 年將成長至 123.3 億美元，在預測期（2026-2033 年）內複合年成長率為 17.3%。

人工智慧技術在計劃管理中的應用正在迅速改變產業格局，使企業能夠基於數據做出決策，同時提高效率並降低成本。機器學習、自然語言處理、電腦視覺和預測分析等領域的先進技術，正在推動智慧計劃管理工具的開發，這些工具能夠簡化工作流程、預測風險並實現日常任務的自動化。這些人工智慧驅動的解決方案使團隊能夠優先考慮戰略舉措並有效應對營運中的複雜情況。借助人工智慧分析，計劃經理可以獲得更深入的洞察，主動識別風險，最佳化資源分配並改善計劃成果。此外，先進的內容管理系統能夠自動對資訊進行分類和整合，從而促進協作，並將內容轉化為寶貴的資產而非負擔。總而言之，人工智慧在計劃管理的應用，能夠促進更智慧、更具適應性的業務運作。

全球計劃管理領域人工智慧市場促進因素

隨著企業面臨日益複雜且大規模的計劃，它們越來越依賴人工智慧驅動的預測分析來最佳化計劃管理。這項技術使計劃經理能夠利用歷史數據和即時數據來預測潛在挑戰，例如延誤、預算超支和資源短缺。機器學習演算法評估目前的進展和績效指標，從而預測專案延期的可能性。透過提供有價值的洞察，團隊可以主動調整資源和策略，最終改進決策並提升計劃成果。這種前瞻性思維正在推動各行各業對人工智慧能力的投資，尤其是在IT、醫療保健和建築等行業。

全球人工智慧在計劃管理領域的市場抑制

人工智慧在計劃管理領域潛力巨大，但其應用往往面臨許多財務障礙。這些障礙包括購買或訂閱人工智慧工具的成本、聘請合格人員（例如資料科學家和人工智慧工程師）的費用、培訓現有員工的費用，以及確保與現有系統無縫整合的費用。對於中小企業而言，當人工智慧的收益並非立竿見影時，它們尤其難以證明這些成本的合理性。這種財務障礙限制了人工智慧在中小企業領域的市場擴張，並最終阻礙了人工智慧在計劃管理領域的整體應用速度。

全球人工智慧市場在計劃管理領域的趨勢

全球計劃管理領域的人工智慧市場正呈現出一個顯著的趨勢：人工智慧驅動的虛擬助理正被日益廣泛地採用。這些數位化解決方案透過自動化諸如儀錶板更新、會議安排、提醒和團隊溝通等日常任務，正在變革計劃管理。借助先進的數據分析技術，虛擬助理可以提供即時計劃洞察並提案改進建議，從而提升整體計劃效率。這一趨勢在尋求提高生產力、簡化流程並降低人為錯誤風險的敏捷型組織中尤其流行。因此，對於那些希望最佳化營運和決策能力的組織而言，將人工智慧整合到計劃管理平台中變得至關重要。

目錄

介紹

• 調查目標
• 調查範圍
• 定義

調查方法

• 資訊收集
• 二手資料和一手資料方法
• 市場規模預測
• 市場假設與限制

執行摘要

• 全球市場展望
• 供需趨勢分析
• 細分市場機會分析

市場動態與展望

• 市場規模
• 市場動態
  • 促進因素和機遇
  • 限制與挑戰
• 波特分析

關鍵市場考察

• 關鍵成功因素
• 競爭程度
• 關鍵投資機會
• 市場生態系統
• 市場吸引力指數（2025）
• PESTEL 分析
• 總體經濟指標
• 價值鏈分析
• 定價分析
• 監管環境
• 案例研究
• 技術分析
• 客戶和購買標準分析

全球計劃管理人工智慧市場規模（按組件和複合年成長率分類）（2026-2033 年）

• 解決方案
  • 機器人流程自動化 (RPA)
  • 聊天機器人和智慧虛擬助手
  • 預測分析
  • 語音辨識
  • 其他
• 服務
  • 整合與實施
  • 支援與維護
  • 培訓和諮詢

全球人工智慧在計劃管理領域的市場規模（按部署模式和複合年成長率分類）（2026-2033 年）

• 雲
• 本地部署

全球計劃管理領域人工智慧市場規模（按組織規模和複合年成長率分類）（2026-2033 年）

• 主要企業
• 中小企業

全球人工智慧在計劃管理領域的市場規模（按應用和複合年成長率分類）（2026-2033 年）

• 計劃進度安排與預算
• 資源分配、規劃與預測
• 計劃支援與管理
• 數據分析、報告和視覺化
• 其他

全球人工智慧在計劃管理領域的市場規模（按最終用戶產業分類）及複合年成長率（2026-2033 年）

• 資訊科技/通訊
• 建設業
• 銀行、金融服務和保險 (BFSI)
• 醫療保健和生命科學
• 政府
• 製造業
• 其他

全球人工智慧計劃管理市場規模（按地區分類）及複合年成長率（2026-2033 年）

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 西班牙
  • 法國
  • 英國
  • 義大利
  • 其他歐洲地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 亞太其他地區
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地區
• 中東和非洲
  • 海灣合作理事會國家
  • 南非
  • 其他中東和非洲地區

競爭資訊

• 前五大公司對比
• 主要企業的市場定位（2025 年）
• 主要市場參與者所採取的策略
• 近期市場趨勢
• 公司市佔率分析（2025 年）
• 主要企業公司簡介
  • 公司詳情
  • 產品系列分析
  • 依業務板塊進行公司股票分析
  • 2023-2025年營收年比比較

主要企業簡介

• IBM Corporation（US）
• Microsoft Corporation（US）
• Oracle Corporation（US）
• Google LLC（US）
• Amazon Web Services Inc.（US）
• Adobe Inc.（US）
• Atlassian Corporation Plc（Australia）
• ServiceNow Inc.（US）
• ALICE Technologies Inc.（US）
• Zoho Corporation Pvt. Ltd.（India）
• TIS Inc.（Japan）
• Hitachi Ltd.（Japan）
• Aitheon（US）
• PMaspire（Singapore）
• Procore Technologies Inc.（US）
• Intel Corporation（US）
• SAP SE（Germany）
• Dassault Systemes SE（France）

結論與建議

Global AI in Project Management Market size was valued at USD 2.93 Billion in 2024 and is poised to grow from USD 3.44 Billion in 2025 to USD 12.33 Billion by 2033, growing at a CAGR of 17.3% during the forecast period (2026-2033).

The adoption of AI technologies in project management is rapidly transforming the landscape, enabling organizations to enhance efficiency and cut costs while making data-driven decisions. Advanced capabilities in machine learning, natural language processing, computer vision, and predictive analytics have led to the development of intelligent project management tools that streamline workflows, anticipate risks, and automate mundane tasks. These AI-driven solutions empower teams to prioritize strategic initiatives, effectively handling operational complexities. By harnessing AI analytics, project managers can gain deeper insights, proactively identify risks, optimize resource allocation, and elevate project outcomes. Moreover, sophisticated content management systems further enhance collaboration by automatically categorizing and integrating information, thereby converting content into a valuable asset rather than a burden. Overall, the integration of AI in project management fosters smarter and more adaptable operations.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global AI in Project Management market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global AI in Project Management Market Segments Analysis

Global AI in Project Management Market is segmented by Component, Deployment Mode, Organization Size, Application, End-Use Industry and region. Based on Component, the market is segmented into Solutions and Services. Based on Deployment Mode, the market is segmented into Cloud and On-Premises. Based on Organization Size, the market is segmented into Large Enterprises and Small & Medium Enterprises (SMEs). Based on Application, the market is segmented into Project Scheduling & Budgeting, Resource Allocation, Planning & Forecasting, Project Support & Administration, Data Analytics, Reporting & Visualization and Others. Based on End-Use Industry, the market is segmented into IT & Telecom, Construction, BFSI (Banking, Financial Services, and Insurance), Healthcare & Life Sciences, Government, Manufacturing and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global AI in Project Management Market

As organizations face increasingly complex and large-scale projects, there is a growing reliance on AI-driven predictive analytics to optimize project management. This technology empowers project managers to anticipate potential challenges, such as delays, budget overruns, or resource shortages, by leveraging both historical and real-time data. Machine learning algorithms can assess current progress and performance metrics to predict the likelihood of deadline breaches. By providing valuable insights, teams can make proactive adjustments to resources and strategies, ultimately improving decision-making and project results. This proactive mindset is attracting investments in AI capabilities across various industries, particularly in sectors like IT, healthcare, and construction.

Restraints in the Global AI in Project Management Market

While the potential of AI in project management is significant, its adoption frequently encounters significant financial barriers. These barriers encompass the expenses associated with acquiring or subscribing to AI tools, recruiting qualified professionals like data scientists and AI engineers, training existing staff, and ensuring seamless integration with existing systems. Small and medium enterprises (SMEs) particularly struggle to justify these costs, especially when the benefits of AI are not immediately apparent. This financial hurdle limits the market reach within the SME sector, ultimately hindering the overall rate of AI adoption in project management.

Market Trends of the Global AI in Project Management Market

The Global AI in Project Management market is witnessing a significant trend towards the growing adoption of AI-powered virtual assistants. These digital solutions are transforming project management by automating routine tasks such as dashboard updates, meeting scheduling, reminders, and team communications. By leveraging advanced data analytics, virtual assistants can offer real-time project insights and recommend corrective measures, thereby enhancing overall project efficiency. This trend is particularly embraced by agile organizations seeking to boost productivity, streamline processes, and reduce the likelihood of human error. As a result, AI integration in project management platforms is becoming essential for organizations aiming to optimize their operations and decision-making capabilities.

Table of Contents

Introduction

• Objectives of the Study
• Scope of the Report
• Definitions

Research Methodology

• Information Procurement
• Secondary & Primary Data Methods
• Market Size Estimation
• Market Assumptions & Limitations

Executive Summary

• Global Market Outlook
• Supply & Demand Trend Analysis
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Overview
• Market Size
• Market Dynamics
  • Drivers & Opportunities
  • Restraints & Challenges
• Porters Analysis
  • Competitive rivalry
  • Threat of substitute
  • Bargaining power of buyers
  • Threat of new entrants
  • Bargaining power of suppliers

Key Market Insights

• Key Success Factors
• Degree of Competition
• Top Investment Pockets
• Market Ecosystem
• Market Attractiveness Index, 2025
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis
• Regulatory Landscape
• Case Studies
• Technological Analysis
• Customer & Buying Criteria Analysis

Global AI in Project Management Market Size by Component & CAGR (2026-2033)

• Market Overview
• Solutions
  • Robotic Process Automation (RPA)
  • Chatbots & Intelligent Virtual Assistants
  • Predictive Analytics
  • Speech Recognition
  • Others
• Services
  • Integration & Deployment
  • Support & Maintenance
  • Training & Consulting

Global AI in Project Management Market Size by Deployment Mode & CAGR (2026-2033)

• Market Overview
• Cloud
• On-Premises

Global AI in Project Management Market Size by Organization Size & CAGR (2026-2033)

• Market Overview
• Large Enterprises
• Small & Medium Enterprises (SMEs)

Global AI in Project Management Market Size by Application & CAGR (2026-2033)

• Market Overview
• Project Scheduling & Budgeting
• Resource Allocation, Planning & Forecasting
• Project Support & Administration
• Data Analytics, Reporting & Visualization
• Others

Global AI in Project Management Market Size by End-Use Industry & CAGR (2026-2033)

• Market Overview
• IT & Telecom
• Construction
• BFSI (Banking, Financial Services, and Insurance)
• Healthcare & Life Sciences
• Government
• Manufacturing
• Others

Global AI in Project Management Market Size & CAGR (2026-2033)

• North America (Component, Deployment Mode, Organization Size, Application, End-Use Industry)
  • US
  • Canada
• Europe (Component, Deployment Mode, Organization Size, Application, End-Use Industry)
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific (Component, Deployment Mode, Organization Size, Application, End-Use Industry)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America (Component, Deployment Mode, Organization Size, Application, End-Use Industry)
  • Brazil
  • Rest of Latin America
• Middle East & Africa (Component, Deployment Mode, Organization Size, Application, End-Use Industry)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2025
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2025
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2023-2025)

Key Company Profiles

• IBM Corporation (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft Corporation (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Oracle Corporation (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Google LLC (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Amazon Web Services Inc. (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Adobe Inc. (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Atlassian Corporation Plc (Australia)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• ServiceNow Inc. (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• ALICE Technologies Inc. (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Zoho Corporation Pvt. Ltd. (India)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• TIS Inc. (Japan)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Hitachi Ltd. (Japan)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Aitheon (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• PMaspire (Singapore)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Procore Technologies Inc. (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Intel Corporation (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SAP SE (Germany)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Dassault Systemes SE (France)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations