计划管理人工智慧市场规模、份额和成长分析（按组件、部署模式、组织规模、应用、最终用户产业和地区划分）－产业预测（2026-2033）

预计到 2024 年，全球人工智慧在计划管理领域的市场规模将达到 29.3 亿美元，到 2025 年将成长至 34.4 亿美元，到 2033 年将成长至 123.3 亿美元，在预测期（2026-2033 年）内复合年增长率为 17.3%。

人工智慧技术在计划管理中的应用正在迅速改变产业格局，使企业能够基于数据做出决策，同时提高效率并降低成本。机器学习、自然语言处理、电脑视觉和预测分析等领域的先进技术，正在推动智慧计划管理工具的开发，这些工具能够简化工作流程、预测风险并实现日常任务的自动化。这些人工智慧驱动的解决方案使团队能够优先考虑战略倡议并有效应对营运中的复杂情况。借助人工智慧分析，计划经理可以获得更深入的洞察，主动识别风险，优化资源分配并改善计划成果。此外，先进的内容管理系统能够自动对资讯进行分类和整合，从而促进协作，并将内容转化为宝贵的资产而非负担。总而言之，人工智慧在计划管理的应用，能够促进更智慧、更具适应性的业务运作。

全球计划管理领域人工智慧市场驱动因素

随着企业面临日益复杂且大规模的计划，它们越来越依赖人工智慧驱动的预测分析来优化计划管理。这项技术使计划经理能够利用历史数据和即时数据来预测潜在挑战，例如延误、预算超支和资源短缺。机器学习演算法评估目前的进展和绩效指标，从而预测专案延期的可能性。透过提供有价值的洞察，团队可以主动调整资源和策略，最终改进决策并提升计划成果。这种前瞻性思维正在推动各行各业对人工智慧能力的投资，尤其是在IT、医疗保健和建筑等行业。

全球人工智慧在计划管理领域的市场抑制

人工智慧在计划管理领域潜力巨大，但其应用往往面临许多财务障碍。这些障碍包括购买或订阅人工智慧工具的成本、聘请合格人员（例如资料科学家和人工智慧工程师）的费用、培训现有员工的费用，以及确保与现有系统无缝整合的费用。对于中小企业而言，当人工智慧的收益并非立竿见影时，它们尤其难以证明这些成本的合理性。这种财务障碍限制了人工智慧在中小企业领域的市场扩张，并最终阻碍了人工智慧在计划管理领域的整体应用速度。

全球人工智慧市场在计划管理领域的趋势

全球计划管理领域的人工智慧市场正呈现出一个显着的趋势：人工智慧驱动的虚拟助理正被日益广泛地采用。这些数位化解决方案透过自动化诸如仪錶板更新、会议安排、提醒和团队沟通等日常任务，正在变革计划管理。借助先进的数据分析技术，虚拟助理可以提供即时计划洞察并提案改进建议，从而提升整体计划效率。这一趋势在寻求提高生产力、简化流程并降低人为错误风险的敏捷型组织中尤其流行。因此，对于那些希望优化营运和决策能力的组织而言，将人工智慧整合到计划管理平台中变得至关重要。

目录

介绍

• 调查目标
• 调查范围
• 定义

调查方法

• 资讯收集
• 二手资料和一手资料方法
• 市场规模预测
• 市场假设与限制

执行摘要

• 全球市场展望
• 供需趋势分析
• 细分市场机会分析

市场动态与展望

• 市场规模
• 市场动态
  • 驱动因素和机会
  • 限制与挑战
• 波特分析

关键市场考察

• 关键成功因素
• 竞争程度
• 关键投资机会
• 市场生态系统
• 市场吸引力指数（2025）
• PESTEL 分析
• 总体经济指标
• 价值链分析
• 定价分析
• 监管环境
• 案例研究
• 技术分析
• 客户和购买标准分析

全球计划管理人工智慧市场规模（按组件和复合年增长率划分）（2026-2033 年）

• 解决方案
  • 机器人流程自动化 (RPA)
  • 聊天机器人和智慧虚拟助手
  • 预测分析
  • 语音辨识
  • 其他的
• 服务
  • 整合与实施
  • 支援与维护
  • 培训和咨询

全球人工智慧在计划管理领域的市场规模（按部署模式和复合年增长率划分）（2026-2033 年）

• 云
• 本地部署

全球计划管理领域人工智慧市场规模（按组织规模和复合年增长率划分）（2026-2033 年）

• 大公司
• 中小企业

全球人工智慧在计划管理领域的市场规模（按应用和复合年增长率划分）（2026-2033 年）

• 计划进度安排与预算
• 资源分配、规划与预测
• 计划支援与管理
• 数据分析、报告和视觉化
• 其他的

全球人工智慧在计划管理领域的市场规模（按最终用户产业划分）及复合年增长率（2026-2033 年）

• 资讯科技/通讯
• 建设业
• 银行、金融服务和保险 (BFSI)
• 医疗保健和生命科学
• 政府
• 製造业
• 其他的

全球人工智慧计划管理市场规模（按地区划分）及复合年增长率（2026-2033 年）

• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 西班牙
  • 法国
  • 英国
  • 义大利
  • 其他欧洲地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 亚太其他地区
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地区
• 中东和非洲
  • 海湾合作委员会国家
  • 南非
  • 其他中东和非洲地区

竞争资讯

• 前五大公司对比
• 主要企业的市场定位（2025 年）
• 主要市场参与者所采取的策略
• 近期市场趋势
• 公司市占率分析（2025 年）
• 主要企业公司简介
  • 公司详情
  • 产品系列分析
  • 依业务板块进行公司股票分析
  • 2023-2025年营收年比比较

主要企业简介

• 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）

结论与建议

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