시장보고서
상품코드
2020573

프로젝트 관리용 AI 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

Global AI In Project Management Market Size, Share, Trends & Growth Analysis Report 2026-2034

발행일: | 리서치사: 구분자 Value Market Research | 페이지 정보: 영문 195 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    




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한글목차
영문목차
※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

프로젝트 관리용 AI 시장 규모는 2025년 38억 2,000만 달러에서 2034년에는 167억 4,000만 달러에 달할 것으로 예측되고 있으며, 2026-2034년에 CAGR 17.84%로 성장할 것으로 전망되고 있습니다.

조직이 효율성과 의사결정을 개선하기 위해 인공지능을 도입함에 따라 글로벌 프로젝트 관리 분야의 AI 시장은 빠르게 성장하고 있습니다. AI를 활용한 툴은 프로젝트 관리자가 반복적인 작업을 자동화하고, 프로젝트 데이터를 분석하며, 잠재적인 위험을 예측하는 데 도움이 됩니다. 이러한 기술을 통해 기업은 자원을 보다 효과적으로 관리하고, 높은 생산성을 유지하면서 기한 내에 프로젝트를 완료할 수 있습니다.

이 시장의 주요 촉진요인 중 하나는 비즈니스 운영의 복잡성과 데이터베이스 프로젝트 계획에 대한 요구가 증가하고 있다는 점입니다. AI 시스템은 대량의 데이터를 분석하여 패턴을 식별하고, 워크플로우를 최적화하고, 작업 스케줄링을 개선할 수 있습니다. 또한 AI 기능을 통합한 클라우드 기반 프로젝트 관리 플랫폼을 통해 모든 규모의 기업이 이러한 솔루션을 보다 쉽게 이용할 수 있게 되었습니다.

앞으로 조직이 프로젝트를 보다 스마트하고 효율적으로 관리할 수 있는 방법을 모색함에 따라 프로젝트 관리용 AI의 활용이 크게 확대될 것으로 예상됩니다. 머신러닝, 예측 분석, 자연 언어 처리의 발전으로 프로젝트 계획과 협업은 더욱 강화될 것입니다. 산업 전반에 걸쳐 디지털 전환이 진행되는 가운데, AI를 활용한 프로젝트 관리 툴은 생산성 향상과 프로젝트 성공률 향상에 매우 중요한 역할을 하게 될 것입니다.

목차

제1장 서론

제2장 개요

제3장 시장 변수, 동향, 프레임워크

제4장 세계의 프로젝트 관리용 AI 시장 : 컴포넌트별

제5장 세계의 프로젝트 관리용 AI 시장 : 배포별

제6장 세계의 프로젝트 관리용 AI 시장 : 조직 규모별

제7장 세계의 프로젝트 관리용 AI 시장 : 용도별

제8장 세계의 프로젝트 관리용 AI 시장 : 산업 분야별

제9장 세계의 프로젝트 관리용 AI 시장 : 지역별

제10장 경쟁 구도

제11장 기업 개요

KSA 26.05.08

The AI In Project Management Market size is expected to reach USD 16.74 Billion in 2034 from USD 3.82 Billion (2025) growing at a CAGR of 17.84% during 2026-2034.

The global AI in project management market is expanding rapidly as organizations adopt artificial intelligence to improve efficiency and decision-making. AI-powered tools help project managers automate repetitive tasks, analyze project data, and predict potential risks. These technologies enable companies to manage resources more effectively and complete projects within deadlines while maintaining high productivity levels.

One of the main drivers of the market is the increasing complexity of business operations and the growing need for data-driven project planning. AI systems can analyze large amounts of data to identify patterns, optimize workflows, and improve task scheduling. In addition, cloud-based project management platforms integrated with AI capabilities are making these solutions more accessible to businesses of all sizes.

Looking ahead, the use of AI in project management is expected to grow significantly as organizations seek smarter and more efficient ways to manage projects. Advances in machine learning, predictive analytics, and natural language processing will further enhance project planning and collaboration. As digital transformation continues across industries, AI-driven project management tools will play a crucial role in improving productivity and project success rates.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Component

  • Solution
  • Services

By Deployment

  • Cloud
  • On-premise

By Organization Size

  • SMEs
  • Large Organizations

By Application

  • Data Analytics, Reporting, And Visualization
  • Project Task Management, Automation, And Prioritization
  • Project Scheduling and Budgeting
  • Risk Assessment and Management
  • Project Data Management
  • Resource Allocation and Forecasting
  • Others (Project Quality Management, Project Communication Management, Project Support and Administration, Project Monitoring, etc.)

By Industry Vertical

  • BFSI
  • Healthcare
  • Manufacturing
  • Government and Defense
  • Retail & E-commerce
  • IT & Telecom
  • Energy & Utilities
  • Others (Construction, Media & Entertainment, etc.)

COMPANIES PROFILED

  • Atlassian, Adobe Inc, ALICE Technologies Inc, Amazon Web Services Inc, Google LLC, IBM Corporation, Intel Corporation, Microsoft Corporation, Oracle Corporation, ServiceNow, TIS Inc, Zoho Corporation Pvt Ltd
  • We can customise the report as per your requirements.

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL AI IN PROJECT MANAGEMENT MARKET: BY COMPONENT 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Component
  • 4.2. Solution Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL AI IN PROJECT MANAGEMENT MARKET: BY DEPLOYMENT 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Deployment
  • 5.2. Cloud Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. On-premise Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL AI IN PROJECT MANAGEMENT MARKET: BY ORGANIZATION SIZE 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast Organization Size
  • 6.2. SMEs Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Large Organizations Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL AI IN PROJECT MANAGEMENT MARKET: BY APPLICATION 2022-2034 (USD MN)

  • 7.1. Market Analysis, Insights and Forecast Application
  • 7.2. Data Analytics, Reporting, And Visualization Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.3. Project Task Management, Automation, And Prioritization Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.4. Project Scheduling and Budgeting Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.5. Risk Assessment and Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.6. Project Data Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.7. Resource Allocation and Forecasting Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.8. Others (Project Quality Management, Project Communication Management, Project Support and Administration, Project Monitoring, etc.) Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL AI IN PROJECT MANAGEMENT MARKET: BY INDUSTRY VERTICAL 2022-2034 (USD MN)

  • 8.1. Market Analysis, Insights and Forecast Industry Vertical
  • 8.2. BFSI Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.3. Healthcare Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.4. Manufacturing Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.5. Government and Defense Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.6. Retail & E-commerce Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.7. IT & Telecom Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.8. Energy & Utilities Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.9. Others (Construction, Media & Entertainment, etc.) Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL AI IN PROJECT MANAGEMENT MARKET: BY REGION 2022-2034 (USD MN)

  • 9.1. Regional Outlook
  • 9.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.2.1 By Component
    • 9.2.2 By Deployment
    • 9.2.3 By Organization Size
    • 9.2.4 By Application
    • 9.2.5 By Industry Vertical
    • 9.2.6 United States
    • 9.2.7 Canada
    • 9.2.8 Mexico
  • 9.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.3.1 By Component
    • 9.3.2 By Deployment
    • 9.3.3 By Organization Size
    • 9.3.4 By Application
    • 9.3.5 By Industry Vertical
    • 9.3.6 United Kingdom
    • 9.3.7 France
    • 9.3.8 Germany
    • 9.3.9 Italy
    • 9.3.10 Russia
    • 9.3.11 Rest Of Europe
  • 9.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.4.1 By Component
    • 9.4.2 By Deployment
    • 9.4.3 By Organization Size
    • 9.4.4 By Application
    • 9.4.5 By Industry Vertical
    • 9.4.6 India
    • 9.4.7 Japan
    • 9.4.8 South Korea
    • 9.4.9 Australia
    • 9.4.10 South East Asia
    • 9.4.11 Rest Of Asia Pacific
  • 9.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.5.1 By Component
    • 9.5.2 By Deployment
    • 9.5.3 By Organization Size
    • 9.5.4 By Application
    • 9.5.5 By Industry Vertical
    • 9.5.6 Brazil
    • 9.5.7 Argentina
    • 9.5.8 Peru
    • 9.5.9 Chile
    • 9.5.10 Rest of Latin America
  • 9.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.6.1 By Component
    • 9.6.2 By Deployment
    • 9.6.3 By Organization Size
    • 9.6.4 By Application
    • 9.6.5 By Industry Vertical
    • 9.6.6 Saudi Arabia
    • 9.6.7 UAE
    • 9.6.8 Israel
    • 9.6.9 South Africa
    • 9.6.10 Rest of the Middle East And Africa

Chapter 10. COMPETITIVE LANDSCAPE

  • 10.1. Recent Developments
  • 10.2. Company Categorization
  • 10.3. Supply Chain & Channel Partners (based on availability)
  • 10.4. Market Share & Positioning Analysis (based on availability)
  • 10.5. Vendor Landscape (based on availability)
  • 10.6. Strategy Mapping

Chapter 11. COMPANY PROFILES OF GLOBAL AI IN PROJECT MANAGEMENT INDUSTRY

  • 11.1. Top Companies Market Share Analysis
  • 11.2. Company Profiles
    • 11.2.1 Atlassian
    • 11.2.2 Adobe Inc
    • 11.2.3 ALICE Technologies Inc
    • 11.2.4 Amazon Web Services Inc
    • 11.2.5 Google LLC
    • 11.2.6 IBM Corporation
    • 11.2.7 Intel Corporation
    • 11.2.8 Microsoft Corporation
    • 11.2.9 Oracle Corporation
    • 11.2.10 ServiceNow
    • 11.2.11 TIS Inc
    • 11.2.12 Zoho Corporation Pvt. Ltd
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