Press release
AI in Project Management Market Strategic Industry Overview and Forecast 2026 to 2035
The global AI in project management market is estimated to reach over USD 16.20 Billion by 2035, exhibiting a CAGR of 16.5% during the forecast period.
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Artificial intelligence is increasingly being applied across multiple functions to support project-based organizations. AI-enabled systems are capable of managing scheduling, reminders, and follow-up activities with minimal human intervention, helping ensure task completion and reducing the risk of oversight. By automating routine administrative activities, these systems enable teams to save time and focus on higher-value responsibilities.
The adoption of AI-driven solutions in project management has grown substantially in recent years, driven by the need for more efficient and effective project execution. As organizations operate in increasingly complex and data-intensive environments, demand for advanced project management capabilities is expected to continue rising. The emphasis on improving project success rates further supports this trend. Moreover, ongoing advancements in AI technologies are leading to the development of specialized tools and applications designed specifically for project management, contributing to sustained growth in this area.
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List of Prominent Players in the AI in Project Management Market:
• 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)
• Wrike (US)
Market Dynamics:
Drivers-
The increasing availability of data is a primary factor driving growth in this sector. As projects and related operations generate larger volumes of data, there is a growing need for advanced tools capable of analyzing this information and delivering actionable insights to enhance project outcomes. Artificial intelligence addresses this requirement by rapidly and accurately processing large datasets, identifying patterns, trends, and risks that may not be readily apparent through traditional analysis. In addition, project managers face mounting pressure to deliver projects within defined timelines and budgets.
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Challenges:
The adoption of AI in project management can be complex and capital-intensive, requiring significant investments in infrastructure, workforce training, and technical expertise. These requirements may present barriers for small and mid-sized organizations with limited resources. Furthermore, the use of AI in managing projects raises concerns related to data privacy and security, particularly when sensitive information such as customer data or intellectual property is involved. Organizations must implement robust security frameworks and ensure compliance with regulatory requirements, which may restrain broader adoption.
Regional Trends:
North America is expected to account for a substantial share of revenue in the AI-driven project management space and is projected to grow at a strong compound annual growth rate in the coming years. The region is characterized by a strong emphasis on innovation and early adoption of advanced technologies to maintain competitive advantage. Organizations across the United States and Canada are rapidly integrating AI into project management practices, supported by government initiatives that promote research and development in artificial intelligence.
The Asia-Pacific region also represents a significant share, driven by rapid digitalization across enterprises. The increasing volume of data generated by businesses in this region is accelerating the adoption of AI solutions that help interpret complex datasets and uncover valuable insights, enabling more informed decision-making and improved project performance.
Recent Developments:
• In February 2023, Hitachi introduced the TXpert Hub of the next generation to digitalize the transformers. By gathering, storing, and interpreting the data collected from the transformer's digital sensors, the TXpert Hub makes monitoring possible.
• In December 2022, the US-based Octo, which offers IT modernization and digital transformation services exclusively to the US federal government, including defense, health, and civilian agencies, announced an agreement to be acquired by IBM.
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Segmentation of AI in Project Management Market-
By Component
• Solutions
o Robotic Process Automation
o Chatbots & Intelligent Virtual Assistants
o Predictive Analytics
o Speech Recognition
• Services
o Consulting
o Deployment & Integration
o Support & Maintenance Services
By Application
• 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
• Project Monitoring
By Deployment Mode
• Cloud
• On-Premises
By Organization Size
• Large Enterprises
• SMEs
By Vertical
• Banking, Financial Services, and Insurance
• Retail & eCommerce
• Healthcare & Life Sciences
• Government & Defense
• IT & ITeS
• Energy & Utilities
• Telecommunications
• Manufacturing
• Construction & Engineering
By Region-
North America-
• The US
• Canada
• Mexico
Europe-
• Germany
• The UK
• France
• Italy
• Spain
• Rest of Europe
Asia-Pacific-
• China
• Japan
• India
• South Korea
• South East Asia
• Rest of Asia Pacific
Latin America-
• Brazil
• Argentina
• Rest of Latin America
Middle East & Africa-
• GCC Countries
• South Africa
• Rest of Middle East and Africa
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