(MENAFN- GlobeNewsWire - Nasdaq) The AI in Project Management Market is primed for growth due to its potential to enhance automation, real-time analytics, and resource allocation in complex and changing sectors. It offers opportunities through AI-driven collaboration tools, flexible deployment models, and strategic alliances, addressing industry-specific needs and regulatory demands.

Dublin, Oct. 01, 2025 (GLOBE NEWSWIRE) -- The "AI in Project Management Market - Global Forecast 2025-2030" report has been added to ResearchAndMarkets's offering.

Senior leaders are rethinking strategic project execution as artificial intelligence (AI) transforms how enterprises plan, coordinate, and deliver complex initiatives. With broad integration scenarios, evolving regulatory demands, and multi-industry adoption, the AI in Project Management Market stands at the intersection of innovation and operational excellence.

Market Snapshot: AI in Project Management Market

The AI in Project Management Market grew from USD 4.33 billion in 2024 to USD 5.32 billion in 2025. It is projected to expand at a CAGR of 21.77%, reaching USD 14.14 billion by 2030. This growth reflects the increasing enterprise demand for automation, real-time analytics, and advanced resource allocation across sectors navigating complex supply chains and disruptive change.

Scope & Segmentation

The report provides deep-dive analysis across technology, industry, and geography for senior leaders evaluating AI-driven project management solutions.

• Application Types: Collaboration and communication tools; resource allocation and optimization modules; risk management systems; scheduling and planning capabilities.
• Component Types: Services offerings and software platforms catering to diverse implementation strategies.
• Deployment Models: Cloud-based and on-premises options address requirements for accessibility, scalability, and compliance.
• End User Industries: Banking, financial services, and insurance; healthcare and life sciences; information technology and telecommunications; manufacturing.
• Organization Sizes: Large enterprises, small and medium enterprises.
• Regional Coverage: Americas (including United States, Canada, Mexico, Brazil, Argentina); Europe, Middle East & Africa (markets such as United Kingdom, Germany, UAE, South Africa, etc.); Asia-Pacific (including China, India, Japan, Australia, and others).
• Key Companies Profiled: Microsoft Corporation, Atlassian Corporation PLC, Oracle Corporation, SAP SE, Smartsheet Inc., Planview Inc., Adobe Inc., Ltd., Asana Inc., IBM Corporation.

Key Takeaways: Strategic Insights for Decision-Makers

• AI-driven project management platforms enable enterprises to optimize team collaboration, predictive scheduling, and risk identification, resulting in greater transparency and value delivery across projects.
• Integration of low-code solutions and intelligent automation reduces barriers to AI adoption, empowering business users to embed analytics without reliance on specialized teams.
• New regulatory measures and cross-region data requirements are prompting increased demand for flexible deployment models and strong data governance in the enterprise project management sector.
• Strategic alliances, such as those between technology vendors and consulting firms, accelerate implementation by aligning technical strength with industry-specific best practices.
• Competitive advantage is increasingly shaped by platforms' ability to deliver modular, API-driven solutions that interconnect with broader digital ecosystems, supporting adaptive and responsive project execution.

Tariff Impact on Global Project Management

Recent U.S. tariff measures have introduced fresh complexity in procurement, supply chain continuity, and cost forecasting for multinational project portfolios. AI-enabled solutions support leaders by modeling tariff effects on vendor selection, cost, and project timeline, allowing for scenario testing and dynamic schedule adjustments. This proactive risk management approach is essential for sustaining project performance amid global trade volatility.

Methodology & Data Sources

The report is developed using a robust process that combines secondary research, primary expert interviews, and survey validation. Academic literature, financial filings, and industry whitepapers underpin the trend analysis, while thematic coding of practitioner interviews and targeted surveys ensure the findings reflect real-world priorities from multiple viewpoints.

Why This Report Matters

• Supports informed technology investments and vendor selection by providing granular assessment of regional trends, segment priorities, and ecosystem partnerships in the AI project management sector.
• Equips executive teams with actionable strategies to enhance project resilience, compliance alignment, and operational agility in the context of evolving global trade dynamics.

Key Attributes

Report Attribute	Details
No. of Pages	190
Forecast Period	2025-2030
Estimated Market Value (USD) in 2025	$5.32 Billion
Forecasted Market Value (USD) by 2030	$14.14 Billion
Compound Annual Growth Rate	21.7%
Regions Covered	Global

Key Topics Covered
1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary

4. Market Overview
4.1. Introduction
4.2. Market Sizing & Forecasting
5. Market Dynamics
5.1. Integration of generative AI models to optimize resource allocation and reduce project delays
5.2. Implementation of predictive analytics for real-time risk identification and mitigation in complex projects
5.3. Use of AI-powered natural language processing to automate project documentation and stakeholder communications
5.4. Adoption of reinforcement learning algorithms for dynamic project scheduling and budget forecasting
5.5. Deployment of AI-driven sentiment analysis tools to gauge team morale and enhance collaboration metrics
5.6. Leveraging digital twin simulations with AI to forecast project outcomes and optimize workflows
6. Market Insights
6.1. Porter's Five Forces Analysis
6.2. PESTLE Analysis
7. Cumulative Impact of United States Tariffs 2025

8. AI in Project Management Market, by Application
8.1. Introduction
8.2. Collaboration And Communication
8.3. Resource Allocation And Optimization
8.4. Risk Management
8.5. Scheduling And Planning
9. AI in Project Management Market, by Component
9.1. Introduction
9.2. Services
9.3. Software
10. AI in Project Management Market, by Deployment Model
10.1. Introduction
10.2. Cloud
10.3. On Premises
11. AI in Project Management Market, by End User Industry
11.1. Introduction
11.2. Banking Financial Services And Insurance
11.3. Healthcare And Life Sciences
11.4. Information Technology And Telecommunications
11.5. Manufacturing
12. AI in Project Management Market, by Organization Size
12.1. Introduction
12.2. Large Enterprises
12.3. Small And Medium Enterprises
13. Americas AI in Project Management Market
13.1. Introduction
13.2. United States
13.3. Canada
13.4. Mexico
13.5. Brazil
13.6. Argentina
14. Europe, Middle East & Africa AI in Project Management Market
14.1. Introduction
14.2. United Kingdom
14.3. Germany
14.4. France
14.5. Russia
14.6. Italy
14.7. Spain
14.8. United Arab Emirates
14.9. Saudi Arabia
14.10. South Africa
14.11. Denmark
14.12. Netherlands
14.13. Qatar
14.14. Finland
14.15. Sweden
14.16. Nigeria
14.17. Egypt
14.18. Turkey
14.19. Israel
14.20. Norway
14.21. Poland
14.22. Switzerland
15. Asia-Pacific AI in Project Management Market
15.1. Introduction
15.2. China
15.3. India
15.4. Japan
15.5. Australia
15.6. South Korea
15.7. Indonesia
15.8. Thailand
15.9. Philippines
15.10. Malaysia
15.11. Singapore
15.12. Vietnam
15.13. Taiwan
16. Competitive Landscape
16.1. Market Share Analysis, 2024
16.2. FPNV Positioning Matrix, 2024
16.3. Competitive Analysis
The companies profiled in this AI in Project Management market report include:

• Microsoft Corporation
• Atlassian Corporation PLC
• Oracle Corporation
• SAP SE
• Smartsheet Inc.
• Planview, Inc.
• Adobe Inc.
• Ltd.
• Asana, Inc.
• IBM Corporation

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• AI in Project Management Market

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