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시장보고서
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프로젝트 관리용 AI 시장 규모, 점유율, 성장 및 세계 산업 분석 : 구성요소별, 전개 형태별, 기업 유형별, 용도별, 업계별, 지역별 인사이트와 예측(2026-2034년)

AI in Project Management Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2026-2034
발행일: | 리서치사: 구분자 Fortune Business Insights Pvt. Ltd. | 페이지 정보: 영문 120 Pages | 배송안내 : 문의

    
    
    



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

프로젝트 관리용 AI 시장 성장요인

세계 프로젝트 관리 분야 AI 시장 규모는 2025년에 36억 7,000만 달러로 평가되며, 2026년 41억 4,000만 달러에서 2034년까지 132억 9,000만 달러로 성장할 것으로 예상되며, 예측 기간(2026-2034년) 동안 15.70%의 CAGR을 기록할 것으로 예상됩니다.

북미는 2025년 48.10%의 점유율로 시장을 선도하고 있으며, 이는 AI 기반 기업용 툴의 조기 도입과 탄탄한 디지털 인프라가 반영된 것으로 보입니다.

AI를 활용한 프로젝트 관리 플랫폼은 머신러닝(ML)과 자연어 처리(NLP)를 활용하여 일정 자동화, 자원 배분 최적화, 프로젝트 리스크 예측, 협업 강화를 실현합니다. "Journal of Business Research에 게재된 연구에 따르면, 프로젝트 관리에 AI를 통합하면 프로젝트 기간을 최대 30%까지 단축할 수 있으며, 효율성과 비용 관리를 크게 향상시킬 수 있다고 합니다.

생성형 AI의 영향

생성형 AI의 통합은 프로젝트 관리 생태계를 변화시키고 있습니다. 생성형 AI는 계획 문서 자동화, 실시간 보고서 생성, 이해관계자와의 커뮤니케이션 개선, 예측 리스크 분석 강화를 실현합니다.

예를 들어, 2024년 7월 라센 앤 투브로(L&T)는 입찰부터 실행까지 프로젝트 라이프사이클을 최적화하기 위해 생성형 AI를 도입했습니다. 이러한 노력은 업무 효율성을 향상시키고, 프로젝트 관리자가 반복적인 업무가 아닌 전략적 의사결정에 집중할 수 있게 해줍니다.

데이터 품질과 시스템 호환성 등의 과제는 여전히 존재하지만, 생성형 AI는 혁신을 크게 가속화하고 장기적인 시장 성장을 뒷받침하고 있습니다.

시장 동향

자동화된 보고서 작성 및 지능형 대시보드

자동화된 대시보드와 실시간 보고는 시장의 주요 트렌드입니다. 기존에는 프로젝트 보고를 위해 수작업으로 데이터를 집계하거나 이해관계자와의 커뮤니케이션이 필요했습니다. 현재는 AI가 일정, 예산, 리스크 수준 등 프로젝트 성과 지표를 지속적으로 추적하여 이 과정을 자동화하고 있습니다.

예를 들어, 2025년 3월 DPR Construction은 조달 데이터를 중앙에서 관리하고 지연을 사전에 감지하는 AI 탑재 대시보드 플랫폼을 도입했습니다. AI 기반 시각화 도구는 조직이 새로운 과제에 빠르게 대응할 수 있도록 지원하며, 의사결정의 정확성을 높이는 데 기여하고 있습니다.

시장 촉진요인

예측 스케줄링 및 예산 최적화

가장 강력한 성장 요인 중 하나는 예측형 스케줄링과 예산 수립입니다. AI 모델은 과거 프로젝트 데이터와 실시간 데이터를 분석하여 기존 도구보다 더 정확하게 지연을 예측하고, 자원 부족을 파악하며, 재정적 위험을 추정합니다.

2025년 6월, OpenSpace는 AI 기반 진행 상황 추적 시스템을 도입했습니다. 이 시스템은 실제 공사 진행 상황을 마일스톤과 비교하여 지연 및 비용 초과를 조기에 감지합니다. 이러한 선제적 접근 방식은 재무적 리스크를 최소화하고 전체 프로젝트 성공률을 향상시킵니다.

시장 억제요인

책임과 투명성에 대한 우려

급속한 성장에도 불구하고 시장은 책임과 투명성과 관련된 도전에 직면해 있습니다. 많은 AI 시스템이 '블랙박스' 모델로 작동하기 때문에 프로젝트 관리자가 의사결정 및 권장사항 생성 과정을 이해하기 어렵습니다. 이러한 투명성 부족은 특히 규제 산업에서 신뢰성을 떨어뜨리고 도입을 제한할 수 있습니다.

시장 기회

로우코드/노코드 AI 플랫폼의 부상

로우코드 및 노코드 AI 플랫폼은 강력한 성장 기회를 제공합니다. 많은 조직은 AI 개발에 대한 깊은 기술적 전문 지식이 부족합니다. 사전 구축된 AI 모듈과 원활한 통합 기능을 갖춘 사용자 친화적인 플랫폼을 통해 기업은 광범위한 코딩 지식 없이도 AI 툴을 도입할 수 있어 중소기업 및 중견기업에서 도입 속도를 높일 수 있습니다.

세분화 분석

산업별

본 시장은 BFSI(은행·금융·보험), 의료, 제조, 정부·국방, 소매·E-Commerce, IT 및 통신, 건설-엔지니어링, 기타 분야에 서비스를 제공하고 있습니다.

  • IT 및 통신은 복잡한 프로젝트 구조와 끊임없는 혁신 주기로 인해 시장을 선도하고 있습니다.
  • 의료 분야는 스마트 인프라와 디지털 헬스 시책에 힘입어 19.1%의 CAGR로 성장할 것으로 예상됩니다.

구성요소별

구성요소를 기준으로 시장 세분화에서는 솔루션과 서비스로 구분됩니다.

  • 2026년에는 확장 가능한 AI 기반 소프트웨어에 대한 수요에 힘입어 솔루션 부문이 73.66%의 점유율로 시장을 장악했습니다.
  • 기업들은 실시간 분석과 업무 자동화를 제공하는 통합 솔루션을 선호합니다.

전개 형태별

시장은 클라우드와 온프레미스 구축으로 나뉩니다.

  • 클라우드 부문은 2025년 67.8%의 점유율로 1위를 차지했으며, 2026년에는 68.90%에 달할 것으로 예측됩니다.
  • 클라우드 배포는 유연성, 비용 효율성, 빠른 도입, 원활한 통합을 제공합니다.

기업 유형별

시장에는 대기업과 중소기업(SME)이 포함됩니다.

  • 2025년에는 대기업이 60.2%의 점유율을 차지할 것이며, 복잡한 프로젝트 운영과 높은 IT 예산으로 인해 2026년에는 59.38%를 유지할 것으로 예측됩니다.
  • 중소기업은 합리적인 가격의 클라우드 기반 솔루션을 통해 점차 도입을 확대하고 있습니다.

프로젝트 계획, 자원 배분 및 관리, 리스크 완화, 진행 상황 모니터링 및 보고 등의 용도로 사용됩니다.

  • 프로젝트 계획은 효율적인 스케줄링 및 타임라인 관리 도구에 대한 강력한 수요에 힘입어 2025년 32.8%의 점유율로 시장을 주도할 것으로 예상됩니다.
  • 기업들이 예측 가능성과 비용 관리를 우선시하는 가운데, 위험 감소 및 모니터링 애플리케이션에 대한 수요가 증가하고 있습니다.

지역별 전망

북미

북미는 2025년 17억 6,000만 달러의 시장 규모를 창출하고 2026년에는 19억 9,000만 달러에 달할 것으로 예상됩니다. 미국은 2025년 13억 5,000만 달러, 2026년에는 15억 2,000만 달러에 달할 것으로 예상되며, 이는 기업의 AI 도입이 활발하게 이루어지고 있음을 반영합니다.

유럽

유럽은 AI 통합에 대한 자동화 및 규제적 지원을 배경으로 2025년 9억 5,000만 달러에 달할 것으로 예상됩니다.

  • 영국 : 1억 9,000만 달러(2025년) → 2억 2,000만 달러(2026년)
  • 독일 : 2억 3,000만 달러(2025년) → 2억 6,000만 달러(2026년)

아시아태평양

아시아태평양은 예측 기간 동안 가장 높은 CAGR을 기록할 것으로 예상됩니다.

  • 중국 : 2억 달러(2025년) → 2억 3,000만 달러(2026년)
  • 인도 : 1억 4,000만 달러(2025년) → 1억 7,000만 달러(2026년)
  • 일본 : 1억 5,000만 달러(2026년 예측치)

중동 및 아프리카 및 라틴아메리카

  • 중동 및 아프리카 : 2025년 1억 6,000만 달러(GCC 국가들이 6,000만 달러를 차지)
  • 라틴아메리카 : 2025년 1억 달러(디지털 우선 기업 성장에 힘입어)

목차

제1장 소개

제2장 주요 요약

제3장 시장 역학

제4장 경쟁 구도

제5장 세계의 프로젝트 관리용 AI 시장 규모 추정·예측 : 부문별(2021-2034년)

제6장 북미의 프로젝트 관리용 AI 시장 규모 추정·예측 : 부문별(2021-2034년)

제7장 유럽의 프로젝트 관리용 AI 시장 규모 추정·예측 : 부문별(2021-2034년)

제8장 아시아태평양의 프로젝트 관리용 AI 시장 규모 추정·예측 : 부문별(2021-2034년)

제9장 중동 및 아프리카의 프로젝트 관리용 AI 시장 규모 추정·예측 : 부문별(2021-2034년)

제10장 남미의 프로젝트 관리용 AI 시장 규모 추정·예측 : 부문별(2021-2034년)

제11장 주요 10개사 기업 개요

제12장 주요 포인트

KSM 26.04.07

Growth Factors of AI in Project Management Market

The global AI in Project Management Market was valued at USD 3.67 billion in 2025 and is projected to grow from USD 4.14 billion in 2026 to USD 13.29 billion by 2034, registering a CAGR of 15.70% during the forecast period (2026-2034).

North America dominated the market with a 48.10% share in 2025, reflecting early adoption of AI-powered enterprise tools and strong digital infrastructure.

AI-powered project management platforms leverage machine learning (ML) and natural language processing (NLP) to automate scheduling, optimize resource allocation, predict project risks, and enhance collaboration. According to research published in the Journal of Business Research, integrating AI into project management can reduce project timelines by up to 30%, significantly improving efficiency and cost management.

Impact of Generative AI

The integration of Generative AI is transforming the project management ecosystem. Generative AI automates planning documentation, generates real-time reports, improves stakeholder communication, and enhances predictive risk analysis.

For example, in July 2024, Larsen & Toubro (L&T) adopted generative AI to optimize its project lifecycle from tendering to execution. Such initiatives improve operational efficiency and allow project managers to focus on strategic decision-making rather than repetitive tasks.

Although challenges such as data quality and system compatibility persist, generative AI is significantly accelerating innovation and supporting long-term market growth.

Market Trends

Automated Reporting and Intelligent Dashboards

Automated dashboards and real-time reporting represent a major trend in the market. Traditionally, project reporting required manual compilation of data and stakeholder communication. AI now automates this process by continuously tracking project performance metrics such as timelines, budgets, and risk levels.

For instance, in March 2025, DPR Construction implemented an AI-powered dashboard platform that centralizes procurement data and detects delays proactively. AI-driven visualization tools help organizations respond quickly to emerging issues, thereby improving decision-making accuracy.

Market Drivers

Predictive Scheduling and Budget Optimization

One of the strongest growth drivers is predictive scheduling and budgeting. AI models analyze historical and real-time project data to forecast delays, identify resource gaps, and estimate financial risks more accurately than traditional tools.

In June 2025, OpenSpace introduced an AI-based progress tracking system that compares actual construction progress against milestones to detect delays and cost overruns early. This proactive approach minimizes financial risks and improves overall project success rates.

Market Restraints

Accountability and Transparency Concerns

Despite rapid growth, the market faces challenges related to accountability and transparency. Many AI systems operate as "black box" models, making it difficult for project managers to understand how decisions or recommendations are generated. This lack of clarity may reduce trust and limit adoption, particularly in regulated industries.

Market Opportunities

Rise of Low-Code/No-Code AI Platforms

Low-code and no-code AI platforms present strong growth opportunities. Many organizations lack deep technical expertise in AI development. User-friendly platforms with prebuilt AI modules and seamless integration capabilities allow enterprises to adopt AI tools without extensive coding knowledge, thereby accelerating adoption across SMEs and mid-sized businesses.

Segmentation Analysis

By Industry Vertical

The market serves BFSI, healthcare, manufacturing, government & defense, retail & e-commerce, IT & telecom, construction & engineering, and others.

  • IT & Telecom leads the market due to complex project structures and constant innovation cycles.
  • The healthcare sector is projected to grow at a CAGR of 19.1%, driven by smart infrastructure and digital health initiatives.

By Component

Based on component, the market is segmented into solutions and services.

  • The solutions segment dominated with a 73.66% share in 2026, driven by demand for scalable AI-powered software.
  • Businesses prefer integrated solutions offering real-time analytics and task automation.

By Deployment

The market is divided into cloud and on-premises deployment.

  • The cloud segment led with 67.8% share in 2025 and is expected to reach 68.90% in 2026.
  • Cloud deployment offers flexibility, cost-efficiency, faster implementation, and seamless integration.

By Enterprise Type

The market includes large enterprises and small & medium enterprises (SMEs).

  • Large enterprises dominated with 60.2% share in 2025 and are projected to hold 59.38% in 2026 due to complex project operations and higher IT budgets.
  • SMEs are gradually increasing adoption due to affordable cloud-based solutions.

By Application

Applications include project planning, resource allocation & management, risk mitigation, progress monitoring & reporting, and others.

  • Project planning led the market with 32.8% share in 2025, supported by strong demand for efficient scheduling and timeline management tools.
  • Risk mitigation and monitoring applications are gaining momentum as enterprises prioritize predictability and cost control.

Regional Outlook

North America

North America generated USD 1.76 billion in 2025 and is projected to reach USD 1.99 billion in 2026. The U.S. accounted for USD 1.35 billion in 2025 and is expected to reach USD 1.52 billion in 2026, reflecting strong enterprise AI adoption.

Europe

Europe reached USD 0.95 billion in 2025, driven by automation and regulatory support for AI integration.

  • UK: USD 0.19 billion (2025) -> USD 0.22 billion (2026)
  • Germany: USD 0.23 billion (2025) -> USD 0.26 billion (2026)

Asia Pacific

Asia Pacific is expected to record the highest CAGR during the forecast period.

  • China: USD 0.20 billion (2025) -> USD 0.23 billion (2026)
  • India: USD 0.14 billion (2025) -> USD 0.17 billion (2026)
  • Japan: projected USD 0.15 billion (2026)

Middle East & Africa and Latin America

  • Middle East & Africa: USD 0.16 billion in 2025, with GCC contributing USD 0.06 billion.
  • Latin America: USD 0.10 billion in 2025, supported by digital-first enterprise growth.

Competitive Landscape

Key companies operating in the market include ClickUp, Asana, Inc., Wrike, Inc., Monday.com, Notion, Trello, Motion, Markovate, and others. These companies focus on AI-driven automation, intuitive user experience, scalable solutions, and strong integration ecosystems.

Strategic partnerships, AI-based product launches, and funding initiatives are strengthening competition and accelerating innovation across global markets.

Conclusion

The AI in Project Management Market is poised for strong growth, expanding from USD 3.67 billion in 2025 to USD 13.29 billion by 2034, at a CAGR of 15.70%. Growth is driven by predictive scheduling, generative AI integration, cloud adoption, and increasing demand for automation across industries. While transparency and accountability challenges remain, advancements in low-code AI platforms and enterprise digital transformation initiatives will sustain long-term expansion. North America will continue leading the market, while Asia Pacific emerges as the fastest-growing region through 2034.

Segmentation By Component

  • Solutions
  • Robotic Process Automation
  • Chatbots & Intelligent Virtual Assistants
  • Predictive Analytics
  • Others (Speech Recognition, etc.)
  • Services

By Deployment

  • Cloud
  • On-premises

By Enterprise Type

  • Large Enterprises
  • Small and Medium Sized Enterprises (SMEs)

By Application

  • Project Planning
  • Resource Allocation & Management
  • Risk Prediction & Mitigation
  • Progress Monitoring & Reporting
  • Others (Collaboration & Communication, etc.)

By Industry Vertical

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

By Region

  • North America (By Component, By Deployment, By Enterprise Type, By Application, By Industry Vertical, and By Country)
    • U.S. (By Industry Vertical)
    • Canada (By Industry Vertical)
    • Mexico (By Industry Vertical)
  • Europe (By Component, By Deployment, By Enterprise Type, By Application, By Industry Vertical, and By Country)
    • U.K. (By Industry Vertical)
    • Germany (By Industry Vertical)
    • France (By Industry Vertical)
    • Italy (By Industry Vertical)
    • Spain (By Industry Vertical)
    • Russia (By Industry Vertical)
    • Benelux (By Industry Vertical)
    • Nordics (By Industry Vertical)
    • Rest of Europe
  • Asia Pacific (By Component, By Deployment, By Enterprise Type, By Application, By Industry Vertical, and By Country)
    • China (By Industry Vertical)
    • India (By Industry Vertical)
    • Japan (By Industry Vertical)
    • South Korea (By Industry Vertical)
    • ASEAN (By Industry Vertical)
    • Oceania (By Industry Vertical)
    • Rest of Asia Pacific
  • Middle East and Africa (By Component, By Deployment, By Enterprise Type, By Application, By Industry Vertical, and By Country)
    • Turkey (By Industry Vertical)
    • Israel (By Industry Vertical)
    • GCC (By Industry Vertical)
    • North Africa (By Industry Vertical)
    • South Africa (By Industry Vertical)
    • Rest of MEA
  • South America (By Component, By Deployment, By Enterprise Type, By Application, By Industry Vertical, and By Country)
    • Brazil (By Industry Vertical)
    • Argentina (By Industry Vertical)
    • Rest of South America

Table of Content

1. Introduction

  • 1.1. Definition, By Segment
  • 1.2. Research Methodology/Approach
  • 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

  • 3.1. Macro and Micro Economic Indicators
  • 3.2. Drivers, Restraints, Opportunities and Trends
  • 3.3. Impact of Generative AI

4. Competition Landscape

  • 4.1. Business Strategies Adopted by Key Players
  • 4.2. Consolidated SWOT Analysis of Key Players
  • 4.3. Global AI in Project Management Key Players (Top 3 - 5) Market Share/Ranking, 2025

5. Global AI in Project Management Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 5.1. Key Findings
  • 5.2. By Component (USD)
    • 5.2.1. Solutions
      • 5.2.1.1. Robotic Process Automation
      • 5.2.1.2. Chatbots & Intelligent Virtual Assistants
      • 5.2.1.3. Predictive Analytics
      • 5.2.1.4. Others (Speech Recognition, etc.)
    • 5.2.2. Services
  • 5.3. By Deployment (USD)
    • 5.3.1. Cloud
    • 5.3.2. On-premises
  • 5.4. By Enterprises Type (USD)
    • 5.4.1. Large Enterprises
    • 5.4.2. Small and Medium Sized Enterprises (SMEs)
  • 5.5. By Application (USD)
    • 5.5.1. Project Planning
    • 5.5.2. Resource Allocation & Management
    • 5.5.3. Risk Prediction & Mitigation
    • 5.5.4. Progress Monitoring & Reporting
    • 5.5.5. Others (Collaboration & Communication, etc.)
  • 5.6. By Industry Vertical (USD)
    • 5.6.1. BFSI
    • 5.6.2. Healthcare
    • 5.6.3. Manufacturing
    • 5.6.4. Government and Defense
    • 5.6.5. Retail & E-commerce
    • 5.6.6. IT & Telecom
    • 5.6.7. Construction & Engineering
    • 5.6.8. Others (Energy & Utilities, etc.)
  • 5.7. By Region (USD)
    • 5.7.1. North America
    • 5.7.2. Europe
    • 5.7.3. Asia Pacific
    • 5.7.4. Middle East & Africa
    • 5.7.5. South America

6. North America AI in Project Management Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 6.1. Key Findings
  • 6.2. By Component (USD)
    • 6.2.1. Solutions
      • 6.2.1.1. Robotic Process Automation
      • 6.2.1.2. Chatbots & Intelligent Virtual Assistants
      • 6.2.1.3. Predictive Analytics
      • 6.2.1.4. Others (Speech Recognition, etc.)
    • 6.2.2. Services
  • 6.3. By Deployment (USD)
    • 6.3.1. Cloud
    • 6.3.2. On-premises
  • 6.4. By Enterprises Type (USD)
    • 6.4.1. Large Enterprises
    • 6.4.2. Small and Medium Sized Enterprises (SMEs)
  • 6.5. By Application (USD)
    • 6.5.1. Project Planning
    • 6.5.2. Resource Allocation & Management
    • 6.5.3. Risk Prediction & Mitigation
    • 6.5.4. Progress Monitoring & Reporting
    • 6.5.5. Others (Collaboration & Communication, etc.)
  • 6.6. By Industry Vertical (USD)
    • 6.6.1. BFSI
    • 6.6.2. Healthcare
    • 6.6.3. Manufacturing
    • 6.6.4. Government and Defense
    • 6.6.5. Retail & E-commerce
    • 6.6.6. IT & Telecom
    • 6.6.7. Construction & Engineering
    • 6.6.8. Others (Energy & Utilities, etc.)
  • 6.7. By Country (USD)
    • 6.7.1. U.S.
      • 6.7.1.1. By Industry Vertical
    • 6.7.2. Canada
      • 6.7.2.1. By Industry Vertical
    • 6.7.3. Mexico
      • 6.7.3.1. By Industry Vertical

7. Europe AI in Project Management Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 7.1. Key Findings
  • 7.2. By Component (USD)
    • 7.2.1. Solutions
      • 7.2.1.1. Robotic Process Automation
      • 7.2.1.2. Chatbots & Intelligent Virtual Assistants
      • 7.2.1.3. Predictive Analytics
      • 7.2.1.4. Others (Speech Recognition, etc.)
    • 7.2.2. Services
  • 7.3. By Deployment (USD)
    • 7.3.1. Cloud
    • 7.3.2. On-premises
  • 7.4. By Enterprises Type (USD)
    • 7.4.1. Large Enterprises
    • 7.4.2. Small and Medium Sized Enterprises (SMEs)
  • 7.5. By Application (USD)
    • 7.5.1. Project Planning
    • 7.5.2. Resource Allocation & Management
    • 7.5.3. Risk Prediction & Mitigation
    • 7.5.4. Progress Monitoring & Reporting
    • 7.5.5. Others (Collaboration & Communication, etc.)
  • 7.6. By Industry Vertical (USD)
    • 7.6.1. BFSI
    • 7.6.2. Healthcare
    • 7.6.3. Manufacturing
    • 7.6.4. Government and Defense
    • 7.6.5. Retail & E-commerce
    • 7.6.6. IT & Telecom
    • 7.6.7. Construction & Engineering
    • 7.6.8. Others (Energy & Utilities, etc.)
  • 7.7. By Country (USD)
    • 7.7.1. U.K.
      • 7.7.1.1. By Industry Vertical
    • 7.7.2. Germany
      • 7.7.2.1. By Industry Vertical
    • 7.7.3. France
      • 7.7.3.1. By Industry Vertical
    • 7.7.4. Italy
      • 7.7.4.1. By Industry Vertical
    • 7.7.5. Spain
      • 7.7.5.1. By Industry Vertical
    • 7.7.6. Russia
      • 7.7.6.1. By Industry Vertical
    • 7.7.7. Benelux
      • 7.7.7.1. By Industry Vertical
    • 7.7.8. Nordics
      • 7.7.8.1. By Industry Vertical
    • 7.7.9. Rest of Europe

8. Asia Pacific AI in Project Management Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 8.1. Key Findings
  • 8.2. By Component (USD)
    • 8.2.1. Solutions
      • 8.2.1.1. Robotic Process Automation
      • 8.2.1.2. Chatbots & Intelligent Virtual Assistants
      • 8.2.1.3. Predictive Analytics
      • 8.2.1.4. Others (Speech Recognition, etc.)
    • 8.2.2. Services
  • 8.3. By Deployment (USD)
    • 8.3.1. Cloud
    • 8.3.2. On-premises
  • 8.4. By Enterprises Type (USD)
    • 8.4.1. Large Enterprises
    • 8.4.2. Small and Medium Sized Enterprises (SMEs)
  • 8.5. By Application (USD)
    • 8.5.1. Project Planning
    • 8.5.2. Resource Allocation & Management
    • 8.5.3. Risk Prediction & Mitigation
    • 8.5.4. Progress Monitoring & Reporting
    • 8.5.5. Others (Collaboration & Communication, etc.)
  • 8.6. By Industry Vertical (USD)
    • 8.6.1. BFSI
    • 8.6.2. Healthcare
    • 8.6.3. Manufacturing
    • 8.6.4. Government and Defense
    • 8.6.5. Retail & E-commerce
    • 8.6.6. IT & Telecom
    • 8.6.7. Construction & Engineering
    • 8.6.8. Others (Energy & Utilities, etc.)
  • 8.7. By Country (USD)
    • 8.7.1. China
      • 8.7.1.1. By Industry Vertical
    • 8.7.2. India
      • 8.7.2.1. By Industry Vertical
    • 8.7.3. Japan
      • 8.7.3.1. By Industry Vertical
    • 8.7.4. South Korea
      • 8.7.4.1. By Industry Vertical
    • 8.7.5. ASEAN
      • 8.7.5.1. By Industry Vertical
    • 8.7.6. Oceania
      • 8.7.6.1. By Industry Vertical
    • 8.7.7. Rest of Asia Pacific

9. Middle East & Africa AI in Project Management Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 9.1. Key Findings
  • 9.2. By Component (USD)
    • 9.2.1. Solutions
      • 9.2.1.1. Robotic Process Automation
      • 9.2.1.2. Chatbots & Intelligent Virtual Assistants
      • 9.2.1.3. Predictive Analytics
      • 9.2.1.4. Others (Speech Recognition, etc.)
    • 9.2.2. Services
  • 9.3. By Deployment (USD)
    • 9.3.1. Cloud
    • 9.3.2. On-premises
  • 9.4. By Enterprises Type (USD)
    • 9.4.1. Large Enterprises
    • 9.4.2. Small and Medium Sized Enterprises (SMEs)
  • 9.5. By Application (USD)
    • 9.5.1. Project Planning
    • 9.5.2. Resource Allocation & Management
    • 9.5.3. Risk Prediction & Mitigation
    • 9.5.4. Progress Monitoring & Reporting
    • 9.5.5. Others (Collaboration & Communication, etc.)
  • 9.6. By Industry Vertical (USD)
    • 9.6.1. BFSI
    • 9.6.2. Healthcare
    • 9.6.3. Manufacturing
    • 9.6.4. Government and Defense
    • 9.6.5. Retail & E-commerce
    • 9.6.6. IT & Telecom
    • 9.6.7. Construction & Engineering
    • 9.6.8. Others (Energy & Utilities, etc.)
  • 9.7. By Country (USD)
    • 9.7.1. Turkey
      • 9.7.1.1. By Industry Vertical
    • 9.7.2. Israel
      • 9.7.2.1. By Industry Vertical
    • 9.7.3. GCC
      • 9.7.3.1. By Industry Vertical
    • 9.7.4. North Africa
      • 9.7.4.1. By Industry Vertical
    • 9.7.5. South Africa
      • 9.7.5.1. By Industry Vertical
    • 9.7.6. Rest of MEA

10. South America AI in Project Management Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 10.1. Key Findings
  • 10.2. By Component (USD)
    • 10.2.1. Solutions
      • 10.2.1.1. Robotic Process Automation
      • 10.2.1.2. Chatbots & Intelligent Virtual Assistants
      • 10.2.1.3. Predictive Analytics
      • 10.2.1.4. Others (Speech Recognition, etc.)
    • 10.2.2. Services
  • 10.3. By Deployment (USD)
    • 10.3.1. Cloud
    • 10.3.2. On-premises
  • 10.4. By Enterprises Type (USD)
    • 10.4.1. Large Enterprises
    • 10.4.2. Small and Medium Sized Enterprises (SMEs)
  • 10.5. By Application (USD)
    • 10.5.1. Project Planning
    • 10.5.2. Resource Allocation & Management
    • 10.5.3. Risk Prediction & Mitigation
    • 10.5.4. Progress Monitoring & Reporting
    • 10.5.5. Others (Collaboration & Communication, etc.)
  • 10.6. By Industry Vertical (USD)
    • 10.6.1. BFSI
    • 10.6.2. Healthcare
    • 10.6.3. Manufacturing
    • 10.6.4. Government and Defense
    • 10.6.5. Retail & E-commerce
    • 10.6.6. IT & Telecom
    • 10.6.7. Construction & Engineering
    • 10.6.8. Others (Energy & Utilities, etc.)
  • 10.7. By Country (USD)
    • 10.7.1. Brazil
      • 10.7.1.1. By Industry Vertical
    • 10.7.2. Argentina
      • 10.7.2.1. By Industry Vertical
    • 10.7.3. Rest of South America

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

  • 11.1. ClickUp
    • 11.1.1. Overview
      • 11.1.1.1. Key Management
      • 11.1.1.2. Headquarters
      • 11.1.1.3. Offerings/Business Segments
    • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.1.2.1. Employee Size
      • 11.1.2.2. Past and Current Revenue
      • 11.1.2.3. Geographical Share
      • 11.1.2.4. Business Segment Share
      • 11.1.2.5. Recent Developments
  • 11.2. Asana, Inc.
    • 11.2.1. Overview
      • 11.2.1.1. Key Management
      • 11.2.1.2. Headquarters
      • 11.2.1.3. Offerings/Business Segments
    • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.2.2.1. Employee Size
      • 11.2.2.2. Past and Current Revenue
      • 11.2.2.3. Geographical Share
      • 11.2.2.4. Business Segment Share
      • 11.2.2.5. Recent Developments
  • 11.3. Wrike, Inc.
    • 11.3.1. Overview
      • 11.3.1.1. Key Management
      • 11.3.1.2. Headquarters
      • 11.3.1.3. Offerings/Business Segments
    • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.3.2.1. Employee Size
      • 11.3.2.2. Past and Current Revenue
      • 11.3.2.3. Geographical Share
      • 11.3.2.4. Business Segment Share
      • 11.3.2.5. Recent Developments
  • 11.4. Deeper Insight
    • 11.4.1. Overview
      • 11.4.1.1. Key Management
      • 11.4.1.2. Headquarters
      • 11.4.1.3. Offerings/Business Segments
    • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.4.2.1. Employee Size
      • 11.4.2.2. Past and Current Revenue
      • 11.4.2.3. Geographical Share
      • 11.4.2.4. Business Segment Share
      • 11.4.2.5. Recent Developments
  • 11.5. Markovate
    • 11.5.1. Overview
      • 11.5.1.1. Key Management
      • 11.5.1.2. Headquarters
      • 11.5.1.3. Offerings/Business Segments
    • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.5.2.1. Employee Size
      • 11.5.2.2. Past and Current Revenue
      • 11.5.2.3. Geographical Share
      • 11.5.2.4. Business Segment Share
      • 11.5.2.5. Recent Developments
  • 11.6. Notion
    • 11.6.1. Overview
      • 11.6.1.1. Key Management
      • 11.6.1.2. Headquarters
      • 11.6.1.3. Offerings/Business Segments
    • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.6.2.1. Employee Size
      • 11.6.2.2. Past and Current Revenue
      • 11.6.2.3. Geographical Share
      • 11.6.2.4. Business Segment Share
      • 11.6.2.5. Recent Developments
  • 11.7. Trello
    • 11.7.1. Overview
      • 11.7.1.1. Key Management
      • 11.7.1.2. Headquarters
      • 11.7.1.3. Offerings/Business Segments
    • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.7.2.1. Employee Size
      • 11.7.2.2. Past and Current Revenue
      • 11.7.2.3. Geographical Share
      • 11.7.2.4. Business Segment Share
      • 11.7.2.5. Recent Developments
  • 11.8. Addepto
    • 11.8.1. Overview
      • 11.8.1.1. Key Management
      • 11.8.1.2. Headquarters
      • 11.8.1.3. Offerings/Business Segments
    • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.8.2.1. Employee Size
      • 11.8.2.2. Past and Current Revenue
      • 11.8.2.3. Geographical Share
      • 11.8.2.4. Business Segment Share
      • 11.8.2.5. Recent Developments
  • 11.9. Azati Software
    • 11.9.1. Overview
      • 11.9.1.1. Key Management
      • 11.9.1.2. Headquarters
      • 11.9.1.3. Offerings/Business Segments
    • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.9.2.1. Employee Size
      • 11.9.2.2. Past and Current Revenue
      • 11.9.2.3. Geographical Share
      • 11.9.2.4. Business Segment Share
      • 11.9.2.5. Recent Developments
  • 11.10. Zycus Inc.
    • 11.10.1. Overview
      • 11.10.1.1. Key Management
      • 11.10.1.2. Headquarters
      • 11.10.1.3. Offerings/Business Segments
    • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.10.2.1. Employee Size
      • 11.10.2.2. Past and Current Revenue
      • 11.10.2.3. Geographical Share
      • 11.10.2.4. Business Segment Share
      • 11.10.2.5. Recent Developments

12. Key Takeaways

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