프로젝트 관리용 AI 시장 규모, 점유율, 성장 분석, 컴포넌트별, 전개 모드별, 조직 규모별, 용도별, 최종 이용 산업별, 지역별 - 산업 예측(2025-2032년)
AI in Project Management Market Size, Share, and Growth Analysis, By Component (Solutions, Services), By Deployment Mode (Cloud, On-Premises), By Organization Size, By Application, By End-Use Industry, By Region - Industry Forecast 2025-2032
상품코드:1755480
리서치사:SkyQuest
발행일:2025년 06월
페이지 정보:영문 192 Pages
라이선스 & 가격 (부가세 별도)
한글목차
프로젝트 관리용 AI 세계 시장 규모는 2023년에 25억 달러, 2024년 29억 3,000만 달러에서 2032년에는 105억 1,000만 달러로 성장하고, 예측 기간(2025-2032년) CAGR은 17.3%를 나타낼 전망입니다.
산업 전반에 걸친 AI 기술의 급속한 통합은 프로젝트 관리에 변화를 가져오고 있으며, 조직은 효율성 향상과 운영 비용 절감을 위해 AI 기반 솔루션을 점점 더 많이 채택하고 있습니다. 머신러닝, 자연어 처리, 예측 분석의 혁신은 워크플로우를 간소화하고, 반복적인 작업을 자동화하며, 위험 예측을 개선하는 첨단 프로젝트 관리 도구의 길을 열어주고 있습니다. 2024년 3월에 발표된 아사나의 AI 기반 워크플로우 제안이 그 대표적인 예입니다. 이 제안은 팀의 역학을 분석하여 최적화된 작업 순서를 제안하여 팀이 전략적 목표에 집중할 수 있도록 돕습니다. 또한, Microsoft가 2022년 10월에 도입한 Syntex는 대량의 컨텐츠 판독 및 분류를 자동화하여 컨텐츠 관리에 혁명을 일으켜, 기존의 번거로운 프로세스를 프로젝트 관리의 협업과 의사결정을 강화하는 귀중한 자산으로 바꾸어 놓았습니다. 되었습니다.
목차
서론
조사 목적
조사 범위
정의
조사 방법
정보 조달
2차와 1차 데이터 방법
시장 규모 예측
시장 전제조건과 제한
주요 요약
세계 시장 전망
공급과 수요 동향 분석
부문별 기회 분석
시장 역학과 전망
시장 개요
시장 규모
시장 역학
성장 촉진요인과 기회
성장 억제요인과 과제
Porter의 Five Forces 분석
주요 시장 인사이트
중요 성공 요인
경쟁 정도
주요 투자 기회
시장 생태계
시장의 매력 지수(2024년)
PESTEL 분석
거시경제 지표
밸류체인 분석
가격 분석
규제 상황
이용 사례
기술 분석
고객과 구매 기준 분석
프로젝트 관리용 AI 시장 규모 : 컴포넌트별&CAGR(2025-2032년)
시장 개요
솔루션
로봇 공정 자동화(RPA)
챗봇 및 지능형 가상 비서
예측 분석
음성 인식
기타
서비스
통합 및 전개
지원 및 유지관리
트레이닝 및 컨설팅
프로젝트 관리용 AI 시장 규모 : 전개 모드별&CAGR(2025-2032년)
시장 개요
클라우드
On-Premise
프로젝트 관리용 AI 시장 규모 : 조직 규모별&CAGR(2025-2032년)
시장 개요
대기업
중소기업
프로젝트 관리용 AI 시장 규모 : 용도별&CAGR(2025-2032년)
시장 개요
프로젝트 스케줄 및 예산 편성
리소스 할당 계획 및 예측
프로젝트 지원 및 관리
데이터 분석, 보고서 및 시각화
기타
프로젝트 관리용 AI 시장 규모 : 최종 이용 산업별&CAGR(2025-2032년)
시장 개요
IT 및 통신
건설
은행, 금융서비스 및 보험(BFSI)(은행/금융서비스/보험)
헬스케어 및 생명과학
정부
제조업
기타
프로젝트 관리용 AI 시장 규모&CAGR(2025-2032년)
북미
미국
캐나다
유럽
독일
스페인
프랑스
영국
이탈리아
기타 유럽
아시아태평양
중국
인도
일본
한국
기타 아시아태평양
라틴아메리카
브라질
기타 라틴아메리카
중동 및 아프리카
GCC 국가
남아프리카공화국
기타 중동 및 아프리카
경쟁 정보
주요 5개사 비교
주요 기업의 시장 포지셔닝(2024년)
주요 시장 기업이 채택한 전략
최근 시장 동향
기업의 시장 점유율 분석(2024년)
주요 기업 개요
기업 상세
제품 포트폴리오 분석
기업 부문별 점유율 분석
매출 전년대비 비교(2022-2024년)
주요 기업 개요
IBM Corporation(미국)
Microsoft Corporation(미국)
Oracle Corporation(미국)
Google LLC(미국)
Amazon Web Services Inc.(미국)
Adobe Inc.(미국)
Atlassian Corporation Plc(호주)
ServiceNow Inc.(미국)
ALICE Technologies Inc.(미국)
Zoho Corporation Pvt. Ltd.(인도)
TIS Inc.(일본)
Hitachi Ltd.(일본)
Aitheon(미국)
PMaspire(싱가포르)
Procore Technologies Inc.(미국)
Intel Corporation(미국)
SAP SE(독일)
Dassault Systemes SE(프랑스)
결론과 제안
LSH
영문 목차
영문목차
Global AI in Project Management Market size was valued at USD 2.5 billion in 2023 and is poised to grow from USD 2.93 billion in 2024 to USD 10.51 billion by 2032, growing at a CAGR of 17.3% during the forecast period (2025-2032).
The rapid integration of AI technologies across industries is transforming project management, with organizations increasingly adopting AI-powered solutions to boost efficiency and cut operational costs. Innovations in machine learning, natural language processing, and predictive analytics are paving the way for advanced project management tools that streamline workflows, automate repetitive tasks, and improve risk forecasting. A notable example is Asana's AI-driven workflow suggestions launched in March 2024, which analyze team dynamics to recommend optimized task sequences, allowing teams to concentrate on strategic objectives. Additionally, Microsoft's introduction of Syntex in October 2022 revolutionized content management by automating the reading and categorization of large content volumes, thus turning previously cumbersome processes into valuable assets that enhance collaboration and decision-making in project management.
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
The Global AI in Project Management market is being driven by the increasing complexity and scale of projects, prompting organizations to leverage AI-powered predictive analytics for improved efficiency. By analyzing historical and real-time data, predictive analytics equips project managers with the ability to anticipate potential challenges like delays, budget overruns, and resource shortages. Machine learning models can assess the likelihood of meeting deadlines based on current project performance, allowing companies to make timely adjustments to resources or strategies. This proactive methodology not only enhances decision-making but also leads to better project outcomes, driving investments in AI solutions across various sectors, particularly in IT, healthcare, and construction.
Restraints in the Global AI in Project Management Market
The Global AI in Project Management market faces significant restraints primarily due to the high initial costs associated with AI adoption. These expenses encompass purchasing or subscribing to advanced AI tools, hiring skilled professionals like data scientists and AI engineers, providing necessary training for teams, and integrating AI solutions with existing legacy systems. For small and medium enterprises (SMEs), the financial burden of these investments is often difficult to rationalize, particularly when the return on investment is not immediately evident. Consequently, this cost barrier limits the ability of SMEs to adopt AI, thereby hindering overall market growth and slowing the adoption rate of AI 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 adoption of virtual AI assistants, which are becoming integral to project management platforms. These advanced digital tools automate routine operations such as dashboard updates, meeting scheduling, and team communication, thereby streamlining workflows. Prominent platforms like Monday.com, Wrike, and Asana are integrating these smart assistants to enhance productivity and enhance decision-making capabilities, particularly in high-velocity environments. The rising demand for efficient project management solutions has led organizations to embrace AI-driven innovations, aiming to reduce operational errors and administrative burdens, ultimately driving growth in this dynamic sector.
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, 2024
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 (2025-2032)
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 (2025-2032)
Market Overview
Cloud
On-Premises
Global AI in Project Management Market Size by Organization Size & CAGR (2025-2032)
Market Overview
Large Enterprises
Small & Medium Enterprises (SMEs)
Global AI in Project Management Market Size by Application & CAGR (2025-2032)
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 (2025-2032)
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 (2025-2032)
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)
