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Global AI in Project Management Market Report 2025: Size Projected USD 10.0 Billion, CAGR of 13.79% by 2033.

The global AI in project management market was valued at USD 3.1 Billion in 2024 and is projected to reach USD 10.0 Billion by 2033, expanding at a CAGR of 13.79% from 2025 to 2033. Key growth drivers include enhanced decision-making, adoption of agile practices, cost efficiency, competitive edge, and effective talent management.
Published 25 July 2025

As indicated in the latest market research report published by IMARC Group, titled “AI in Project Management Market Report by Component (Solutions, Services), Deployment Mode (Cloud-based, On-premises), Organization Size (Large Enterprises, Small and Medium-sized Enterprises), Application (Project scheduling and budgeting, Data analytics, reporting and visualization, Project support and administration, Project data management, Risk management, Resource allocation, planning and forecasting, Project task management, automation and prioritization, Project monitoring), Vertical (BSFI, Retail and eCommerce, Healthcare and Life Sciences, Government and Defense, IT and ITeS, Energy and Utilities, Telecommunication, Manufacturing, Construction and Engineering), and Region 2025-2033,” this report provides an in-depth analysis of the industry, featuring insights into the global AI in project management market. The report also includes competitor and regional analysis, along with a breakdown of segments within the industry.

How Big is the AI in Project Management Market Market?

The global AI in project management market size reached USD 3.1 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 10.0 Billion by 2033, exhibiting a growth rate (CAGR) of 13.79% during 2025-2033.

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Global Ai in Project Management Market Dynamics:

Latest Trends in the Global AI in Project Management Market:

The integration of Artificial Intelligence into project management is undergoing a notable transformation owing to the adoption of tools that require real-time data interpretation, better automation of repetitive functions, automation of routine functions, and improvement of decision-making. Companies from different sectors are using AI-based applications for efficient project planning, risk management, resource allocation, and monitoring of performance. Particularly, the use of generative AI as well as natural language processing (NLP) is becoming vital for project communication as managers are able to obtain insights from massive amounts of text and data. 

AI-based systems are also incorporating predictive analytics to enable accurate forecasting of project events and to mitigate possible blockades beforehand. Increased adoption of agile project management and the hybrid work environment are also applying greater AI capabilities to project management software that are based in the cloud. Moreover, AI-based chatbots and virtual assistants are augmenting inter-employee collaboration by providing real-time updates about tasks, reminders, and monitoring of progress. These changes are the culmination of a shift toward governed, data-based project management and are indicative of a shift toward a deep transformation in the operations of an enterprise.

Growth Drivers in the AI in Project Management Market:

An intersection of technological capabilities and an increased enterprise focus on streamlining operations is driving the growth of the global AI in project management market. One of the primary factors is the increasing intricacy of contemporary projects. The adoption of intelligent systems that manage large datasets, dynamic workflows, and cross-silo collaboration is crucial. AI enhances productivity by handling administrative work, and in turn, empowers managers to make tactical decisions. AI’s capabilities to oversee real-time risk assessment and resource optimization on integrated project management systems would further reduce costs and improve project outcomes. Increased demand for organizational value and AI-powered business intelligence is driving the uptake of AI tools for automated decision-making systems. 

Moreover, sectors such as construction, IT, healthcare, and manufacturing are investing heavily to adopt AI-enabled tools to better manage critical and resource-hungry projects. Market growth is further fueled by government programs aimed at promoting digital transformation and leading smart enterprise technologies. These factors are collectively driving the AI in project management market into the global high-growth phase.

Future Demand Outlook for AI in Project Management:

With enterprises pursuing innovation, scalability, and a more competitive edge, the demand for AI in project management is expected to soar in the future. Organizations are beginning to appreciate the AI’s value in enhancing communication on project milestones with the connected stakeholders, project visibility and in delivering on business objectives. With data becoming the new oil of project execution, the demand for intelligent systems that can learn from the past and give prescriptive data will become more urgent. Predictive project analytics and complex adaptive learning systems will focus on next-gen AI systems for comprehensive management covering the entire project lifecycle. 

Due to the increase in remote working and global project teams, the need for seamless collaboration, real-time reporting, and automated decision-making has reached new heights. The need from AI to lessen the human factor in the project and to boost project success rates will strengthen its adoption in modern enterprise ecosystems. This expectation will be reinforced from relentless innovations, competitive vendors, and cross-vertical strategic alliances.

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Global AI in Project Management Market Trends:

Artificial Intelligence is revolutionizing project management by enabling intelligent automation, enhancing automation, improving collaboration, and enabling sophisticated decision-making processes driven by data. The use of AI in tandem with agile and hybrid project management approaches is evolving, aiding businesses in rapidly shifting priorities. There is an increased focus on forecasting lagging, cost spending, and budget management. AI is further improving the processes of estimating the resources required as well as predicting the capacity, thus enabling project managers to assign various jobs to different team members with optimum precision. Communication and productivity of the teams is enhanced with the use of natural language processing tools to evaluate and analyse the productivity of the teams.

In addition, the merging of AI with the cloud is enabling real time project tracking with automated smart alerts, enhancing agile workflows. These developments augment not only the effectiveness of project management, but also redefine efficiency, governance, execution, and success metrics in the context of a digital-first business environment.

Competitive Landscape with Key Players:

  • Adobe Inc.
  • Aitheon
  • Bitrix24
  • ClickUp
  • Forecast
  • PMaspire Limited
  • PRoofHub LLC
  • PSOHub
  • Zoho Corporation

AI in Project Management Market Report Segmentation:

Component Insights:

  • Solutions
  • Robotic Process Automation
  • Chatbot and Intelligent Virtual Assistants
  • Predictive Analytics 
  • Speech Recognition
  • Services 
  • Consulting
  • Deployment and Integration
  • Support and Maintenance Services

Deployment Mode Insights:

  • Cloud-based
  • On-premises

Organization Size Insights:

  • Large Enterprises
  • Small and Medium-sized Enterprises

Application Insights:

  • Project scheduling and budgeting
  • Data analytics, reporting and visualization
  • Project support and administration
  • Project data management
  • Risk management
  • Resource allocation, planning and forecasting
  • Project task management, automation and prioritization
  • Project monitoring

Vertical Insights:

  • BSFI
  • Retail and eCommerce
  • Healthcare and Life Sciences
  • Government and Defense
  • IT and ITeS
  • Energy and Utilities
  • Telecommunication
  • Manufacturing
  • Construction and Engineering

Breakup by Region:

  • North America (United States, Canada)
  • Europe (Germany, France, United Kingdom, Italy, Spain, Others)
  • Asia Pacific (China, Japan, India, Australia, Indonesia, Korea, Others)
  • Latin America (Brazil, Mexico, Others)
  • Middle East and Africa (United Arab Emirates, Saudi Arabia, Qatar, Iraq, Other)

Note: Should you require specific information not included in the current report, we are pleased to offer customization options to meet your needs.

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