Global AI In Project Management Market Size is valued at USD 3.1 Billion in 2024 and is predicted to reach USD 14.0 Billion by the year 2034 at a 16.4% CAGR during the forecast period for 2025-2034.
Project management is being revolutionized by AI due to new tools and methods that automate numerous repetitive processes, lower mistake rates, and boost overall effectiveness. The commercial awareness of projects can be increased globally through platforms that use AI and machine intelligence. Al's capacity to identify and anticipate concerns considerably more quickly may allow project management teams to act quickly before hazards threaten project completion. Al uses predictive data analytics and machine learning to give more precise insights into possible outcomes, enabling better and speedier decision-making.
The need for better, more efficient project management solutions has led to a major increase in the market for AI in project management in recent years. The future market for AI in project management is projected to expand due to the demand for more efficient and effective project management solutions in an increasingly complex and data-driven corporate environment.
Furthermore, the need to increase project success rates will only grow, fueling market expansion. As AI technology advances, new project management-specific tools and applications are being developed. This is boosting the market expansion. However, mobile devices are more susceptible to data breaches and cyberattacks due to the accessibility of project management tools. The following conclusion is that companies in highly regulated industries are hesitant to use cutting-edge Al-based project management systems due to financial constraints or information security concerns. This is restricting market expansion.
Recent Developments:
The AI in project management market is segmented on the basis of component, application, deployment mode, organization size and vertical. Based on product, the market is segmented as Solutions (Robotic process automation, Chatbots & intelligent virtual assistants, Predictive analytics, Speech recognition) and Services (Consulting, Deployment & Integration, Support & maintenance services). By application, the market is segmented into Project scheduling & budgeting; data analytics, reporting, and visualization, Project support & administration; Project data management; risk management; resource allocation, planning, and forecasting; project task management, automation, and prioritization and Project monitoring.
Based on deployment mode, the market is segmented into cloud and on-premises. By organization size, the market is categorized into Large enterprises and SMEs. By vertical, the market is categorized into Banking, financial services, and insurance, Retail & eCommerce, Healthcare & life sciences, Government & defense, IT & ITeS, Energy & utilities, Telecommunications, Manufacturing and Construction & engineering.
The solution category is expected to hold a major share in the global AI in project management market in 2024. An increasing number of industries are using predictive analytics to improve their profitability and competitiveness. Businesses can examine variance and variation using predictive analytics, continually improve their predictions and track their future performance alongside their past success. By making this forecasting data visible and available, service teams can get the information they need when they need it. Businesses can overcome several challenges with the help of this tactic. This entails keeping the projects within budget and authorized time, money, and scope.
The risk management segment is projected to grow at a rapid rate in the global AI in project management market during the study period. In project management, risk management identifies, evaluates, and avoids or eliminates project risks that could affect the planned outcomes. Project managers are often responsible for overseeing a project's risk management process. In order to identify any potential roadblocks that can hinder the team's ability to produce results, project managers need a thorough understanding of their objectives. For risk management to be successful, this is essential.
The North America AI in project management market is expected to register the highest market share in terms of revenue in the near future. Some of the world's most significant and forward-thinking technological firms, such as Google, Microsoft, IBM, and Amazon, are based in North America. These businesses are leading the market in innovation for AI in project management through significant investments in AI research and development. As a result of their recognition of the significance of AI technology, the governments of the United States and Canada are supporting research and development in this field. This is accelerating the deployment of AI in project management.
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Report Attribute |
Specifications |
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Market size value in 2024 |
USD 3.1 Billion |
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Revenue forecast in 2034 |
USD 14.0 Billion |
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Growth rate CAGR |
CAGR of 16.4% from 2025 to 2034 |
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Quantitative units |
Representation of revenue in US$ Mn,, and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report coverage |
The forecast of revenue, the position of the company, the competitive market statistics, growth prospects, and trends |
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Segments covered |
Component, Application, Deployment Mode, Organization Size And Vertical |
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Regional scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; China; Japan; India; South Korea; Southeast Asia; South Korea; Southeast Asia |
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Competitive Landscape |
IBM (US), Oracle (US), Hitachi (Japan), Adobe (US), Microsoft (US), TIS (Japan), ServiceNow (US), Atlassian (Australia), Alice Technologies (US), Aitheon (US), PMaspire (Singapore), Forecast (UK), ClickUp (US), Zoho (India), ProofHub (US), Azeendo (France), Bubblz (France), Lili.ai (France), RationalPlan (Romania), ClearStrategy (Ireland), Saviom (Australia), CodeComplete (Japan), monday.com (Israel), ImageGrafix (UAE), Orangescrum (US), Smartsheet (US), PSOhub (Netherlands), Bitrix24 (US), Asana (US), and Wrike (US). |
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Customization scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing and available payment methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI in Project Management Market Snapshot
Chapter 4. Global AI in Project Management Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis
Chapter 5. Market Segmentation 1: by Component Estimates & Trend Analysis
5.1. by Component & Market Share, 2021 & 2034
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Component:
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. Speech Recognition
5.2.2. Services
5.2.2.1. Consulting
5.2.2.2. Deployment & Integration
5.2.2.3. Support & Maintenance Services
Chapter 6. Market Segmentation 2: by Application Estimates & Trend Analysis
6.1. by Application & Market Share, 2021 & 2034
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Application:
6.2.1. Project Scheduling & Budgeting
6.2.2. Data Analytics, Reporting, And Visualization
6.2.3. Project Support & Administration
6.2.4. Project Data Management
6.2.5. Risk Management
6.2.6. Resource Allocation, Planning, And Forecasting
6.2.7. Project Task Management, Automation, And Prioritization
6.2.8. Project Monitoring
Chapter 7. Market Segmentation 3: by Deployment Mode Estimates & Trend Analysis
7.1. by Deployment Mode & Market Share, 2021 & 2034
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Deployment Mode:
7.2.1. Cloud
7.2.2. On-premises
Chapter 8. Market Segmentation 4: by Organization Size Estimates & Trend Analysis
8.1. by Organization Size & Market Share, 2021 & 2034
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Organization Size:
8.2.1. Large enterprises
8.2.2. SMEs
Chapter 9. Market Segmentation 5: by Vertical Estimates & Trend Analysis
9.1. by Vertical & Market Share, 2021 & 2034
9.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Vertical:
9.2.1. Banking, Financial Services, And Insurance
9.2.2. Retail & Ecommerce
9.2.3. Healthcare & Life Sciences
9.2.4. Government & Defense
9.2.5. IT & ITeS
9.2.6. Energy & Utilities
9.2.7. Telecommunications
9.2.8. Manufacturing
9.2.9. Construction & Engineering
Chapter 10. AI in Project Management Market Segmentation 6: Regional Estimates & Trend Analysis
10.1. North America
10.1.1. North America AI in Project Management Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
10.1.2. North America AI in Project Management Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.1.3. North America AI in Project Management Market revenue (US$ Million) by Deployment Mode, 2021-2034
10.1.4. North America AI in Project Management Market revenue (US$ Million) by Organization Size, 2021-2034
10.1.5. North America AI in Project Management Market revenue (US$ Million) by Vertical, 2021-2034
10.1.6. North America AI in Project Management Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
10.2. Europe
10.2.1. Europe AI in Project Management Market revenue (US$ Million) by Component, 2021-2034
10.2.2. Europe AI in Project Management Market revenue (US$ Million) by Application, 2021-2034
10.2.3. Europe AI in Project Management Market revenue (US$ Million) by Deployment Mode, 2021-2034
10.2.4. Europe AI in Project Management Market revenue (US$ Million) by Organization Size, 2021-2034
10.2.5. Europe AI in Project Management Market revenue (US$ Million) by Vertical, 2021-2034
10.2.6. Europe AI in Project Management Market revenue (US$ Million) by country, 2021-2034
10.3. Asia Pacific
10.3.1. Asia Pacific AI in Project Management Market revenue (US$ Million) by Component, 2021-2034
10.3.2. Asia Pacific AI in Project Management Market revenue (US$ Million) by Application, 2021-2034
10.3.3. Asia-Pacific AI in Project Management Market revenue (US$ Million) by Deployment Mode, 2021-2034
10.3.4. Asia Pacific AI in Project Management Market revenue (US$ Million) by Organization Size, 2021-2034
10.3.5. Asia Pacific AI in Project Management Market revenue (US$ Million) by Vertical, 2021-2034
10.4. Latin America
10.4.1. Latin America AI in Project Management Market revenue (US$ Million) by Component, 2021-2034
10.4.2. Latin America AI in Project Management Market revenue (US$ Million) by Application, 2021-2034
10.4.3. Latin America AI in Project Management Market revenue (US$ Million) by Deployment Mode, 2021-2034
10.4.4. Latin America AI in Project Management Market revenue (US$ Million) by Organization Size, 2021-2034
10.4.5. Latin America AI in Project Management Market revenue (US$ Million) by Vertical, 2021-2034
10.4.6. Latin America AI in Project Management Market revenue (US$ Million) by country, 2021-2034
10.5. Middle East & Africa
10.5.1. Middle East & Africa AI in Project Management Market revenue (US$ Million) by Component, 2021-2034
10.5.2. Middle East & Africa AI in Project Management Market revenue (US$ Million) by Application, 2021-2034
10.5.3. Middle East & Africa AI in Project Management Market revenue (US$ Million) by Deployment Mode, 2021-2034
10.5.4. Middle East & Africa AI in Project Management Market revenue (US$ Million) by Organization Size, 2021-2034
10.5.5. Middle East & Africa AI in Project Management Market revenue (US$ Million) by Vertical, 2021-2034
10.5.6. Middle East & Africa AI in Project Management Market revenue (US$ Million) by country, 2021-2034
Chapter 11. Competitive Landscape
11.1. Major Mergers and Acquisitions/Strategic Alliances
11.2. Company Profiles
11.2.1. IBM (US)
11.2.2. Oracle (US)
11.2.3. Hitachi (Japan)
11.2.4. Adobe (US)
11.2.5. Microsoft (US)
11.2.6. TIS (Japan)
11.2.7. ServiceNow (US)
11.2.8. Atlassian (Australia)
11.2.9. Alice Technologies (US)
11.2.10. Aitheon (US)
11.2.11. PMaspire (Singapore)
11.2.12. Forecast (UK)
11.2.13. ClickUp (US)
11.2.14. Zoho (India)
11.2.15. ProofHub (US)
11.2.16. Azeendo (France)
11.2.17. Bubblz (France)
11.2.18. Lili.ai (France)
11.2.19. RationalPlan (Romania)
11.2.20. ClearStrategy (Ireland)
11.2.21. Saviom (Australia)
11.2.22. CodeComplete (Japan)
11.2.23. monday.com (Israel)
11.2.24. ImageGrafix (UAE)
11.2.25. Orangescrum (US)
11.2.26. Smartsheet (US)
11.2.27. PSOhub (Netherlands)
11.2.28. Bitrix24 (US)
11.2.29. Asana (US)
11.2.30. Wrike (US)
11.2.31. Other Prominent Players
AI in Project Management Market By Component
AI in Project Management Market By Application
AI in Project Management Market By Deployment Mode
AI in Project Management Market By Organization Size
AI in Project Management Market By Vertical
AI in Project Management Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
