AI in Project Management Market Size- Industry Analysis Report, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2024 – 2032
Published on: 2024-07-07 | No of Pages : 240 | Industry : Media and IT
Publisher : MRA | Format : PDF&Excel
AI in Project Management Market Size- Industry Analysis Report, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2024 – 2032
AI in Project Management Market Size- Industry Analysis Report, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2024 – 2032
AI in Project Management Market Size
AI in Project Management Market is expected to grow at a CAGR of over 15% from 2024 to 2032, fueled by technological advancements, increasing demand for efficient project handling, and the need for predictive analytics.
According to a report by Forbes in January 2024, the global AI market is expected to grow at a CAGR of 37.3% up to 2030, reaching $1,811.8 billion by 2030. AI adoption has plateaued at 35% in 2022, marking a four-point increase from the previous year. The need to have efficiency and productivity across industries is driving the growth of the market. Organizations are turning to AI-powered solutions to streamline processes, optimize resource allocation, and enhance decision-making capabilities. Additionally, the rising complexity of projects, coupled with the growing volume of data, has created a pressing need for intelligent tools that can sift through information and provide actionable insights in real-time.
Additionally, increasing investment from both public and private sectors in AI R&D is favoring market growth by accelerating technological advancements and enabling the development of new AI applications. This influx of funding supports innovation in AI technologies and facilitates the creation of solutions tailored to various industries and use cases.
AI in Project Management Market Trends
There is a growing demand for AI-driven project management solutions that support remote collaboration and agile methodologies, catering to the needs of distributed teams and dynamic project environments. Moreover, as organizations prioritize digital transformation initiatives, there is a rising interest in AI-based project management software that seamlessly integrates with existing enterprise systems and workflows. The advancements in machine learning algorithms and data analytics are driving innovation in AI-enabled project management, enabling real-time insights and adaptive decision-making to drive project success. These trends are poised to shape the industry dynamics over the forecast period.
AI in Project Management Market Analysis
Banking, financial services, and insurance sector (BFSI) segment is poised to expand rapidly through 2032, as organizations in this sector are leveraging AI to drive innovation and stay ahead of the curve. From automated risk assessment and fraud detection to personalized customer experiences, AI-powered project management solutions are revolutionizing the way financial institutions operate, thereby enhancing overall segment appeal.
The project data management application segment is anticipated to witness decent growth through 2032, driven by AI features such as efficiency, scalability, and risk mitigation. AI is playing a pivotal role in transforming how data is collected, analyzed, and utilized. Traditional project management systems often struggle to cope with the sheer volume and complexity of data generated during the project lifecycle. AI-powered solutions offer a more efficient and scalable approach to data management, enabling organizations to extract actionable insights, identify trends, and make informed decisions in real-time, thereby inducing industry growth.
Asia Pacific AI in project management Market is touted to expand at a significant till 2032, fueled by rapid urbanization, technological advancements, and increasing investment in infrastructure projects. Countries such as China, India, and Japan are leading the charge, with a growing number of organizations embracing AI to enhance project efficiency and drive innovation. The region’s vibrant startup ecosystem and supportive government initiatives are further fueling the adoption of AI-powered project management solutions.
AI in Project Management Market Share
Some of the leading companies involved in the AI in project management industry include
- IBM Corporation
- Intel Corporation
- Microsoft Corporation
- Google LLC (Alphabet Inc.)
- Amazon Web Services Inc.
Companies are focused on meeting consumer demand. These companies engage in mergers, acquisitions, and new product launches to expand their global presence. Ongoing R&D activities allow them to hold a significant position in the market.
AI in Project Management Industry News
- In January 2024, Microsoft, the U.S. software giant announced its plans to invest $3.44 billion in Germany over the next two years, primarily in artificial intelligence.
- In August 2023, Zenhub introduced a version of its project management platform tailored for software engineering teams, incorporating generative artificial intelligence (AI) to condense reports and pinpoint bottlenecks, thus optimizing DevOps workflows.
What Information does this report contain?
Historical data coverage 2018 to 2023; Growth Projections 2024 to 2032.
Expert analysis industry, governing, innovation and technological trends; factors impacting development; drawbacks, SWOT.
6-7 year performance forecasts major segments covering applications, top products and geographies.
Competitive landscape reporting market leaders and important players, competencies and capacities of these companies in terms of production as well as sustainability and prospects.
Table of Content
Report Content
Chapter 1 Methodology and Scope
1.1 Scope & definitions
1.2 Base estimates and calculations
1.3 Forecast calculations
1.4 Data Sources
1.4.1 Primary
1.4.2 Secondary
1.4.2.1 Paid sources
1.4.2.2 Public sources
Chapter 2 Executive Summary
2.1 AI in Project Management industry 3600 synopsis, 2018-2032
2.2 Business trends
2.2.1 Total Addressable Market (TAM), 2023-2032
2.3 Regional trends
2.4 Component trends
2.5 Deployment trends
2.6 Application trends
2.7 End use trends
Chapter 3 AI in Project Management Market Industry Insights
3.1 Impact of COVID-19
3.1.1 North America
3.1.2 Europe
3.1.3 Asia Pacific
3.1.4 Latin America
3.1.5 MEA
3.2 Russia- Ukraine war impact
3.3 U.S.-China trade war
3.4 Industry ecosystem
3.4.1 Component provider
3.4.2 Technology provider
3.4.3 Manufacturers
3.4.4 Distributor
3.4.5 End-use landscape
3.4.6 Vendor Matrix
3.5 Technology & innovation landscape
3.6 Patent analysis
3.7 Key initiative and news
3.8 Regulatory landscape
3.9 Industry impact forces
3.9.1 Growth drivers
3.9.2 Industry pitfalls & challenges
3.10 Growth potential analysis
3.11 Porter's analysis
3.12 PESTEL analysis
Chapter 4 Competitive Landscape, 2022
4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of major market players, 2022
.4.3.1. Company 1
4.3.2 Company 2
4.3.3 Company 3
4.3.4 Company 4
4.3.5 Company 5
4.3.6 Company 6
4.3.7 Company 7
4.4 Competitive positioning matrix
4.5 Strategic outlook matrix
Chapter 5 AI in Project Management Market, By Component
5.1 Key trends, by component
5.2 Solution
5.2.1 Market estimates and forecast, 2018-2032
5.2.2 Robotic process automation
5.2.2.1 Market estimates and forecast, 2018-2032
5.2.3 Chatbots & intelligent virtual assistant
5.2.3.1 Market estimates and forecast, 2018-2032
5.2.4 Predictive analytics
5.2.4.1 Market estimates and forecast, 2018-2032
5.2.5 Speech recognition
5.2.5.1 Market estimates and forecast, 2018-2032
5.3 Services
5.3.1 Market estimates and forecast, 2018-2032
5.3.2 Consulting
5.3.2.1 Market estimates and forecast, 2018-2032
5.3.3 Support & maintenance services
5.3.3.1 Market estimates and forecast, 2018-2032
5.3.4 Deployment & integration
5.3.4.1 Market estimates and forecast, 2018-2032
Chapter 6 AI in Project Management Market, By Deployment
6.1 Key trends, by deployment
6.2 Cloud
6.2.1 Market estimates and forecast, 2018-2032
6.3 On premises
6.3.1 Market estimates and forecast, 2018-2032
Chapter 7 AI in Project Management Market, By Application
7.1 Key trends, by End use
7.2 Project scheduling & budgeting
7.2.1 Market estimates and forecast, 2018-2032
7.3 Data analytics, reporting & Visualization.
7.3.1 Market estimates and forecast, 2018-2032
7.4 Project support & Administration
7.4.1 Market estimates and forecast, 2018-2032
7.5 Project data management
7.5.1 Market estimates and forecast, 2018-2032
7.6 Risk management
7.6.1 Market estimates and forecast, 2018-2032
7.7 Project task management
7.7.1 Market estimates and forecast, 2018-2032
Chapter 8 AI in Project Management Market, By End use
8.1 Key trends, by End use
8.2 Banking, Financial & insurance (BFSI)
8.2.1 Market estimates and forecast, 2018-2032
8.3 Retail & E commerce
8.3.1 Market estimates and forecast, 2018-2032
8.4 IT sector
8.4.1 Market estimates and forecast, 2018-2032
8.5 Government & Defence
8.5.1 Market estimates and forecast, 2018-2032
8.6 Energy & Utilities
8.6.1 Market estimates and forecast, 2018-2032
Chapter 9 AI in Project Management Market, By Region
9.1 Key trends, by region
9.2 North America
9.2.1 Market estimates and forecast, 2018-2032
9.2.2 Market estimates and forecast, by component, 2018-2032
9.2.2.1 Market estimates and forecast, by solution, 2018-2032
9.2.2.2 Market estimates and forecast, by service, 2018-2032
9.2.3 Market estimates and forecast, by deployment, 2018-2032
9.2.4 Market estimates and forecast, by application, 2018-2032
9.2.5 Market estimates and forecast, by end use, 2018-2032
9.2.6 U.S.
9.2.6.1 Market estimates and forecast, 2018-2032
9.2.6.2 Market estimates and forecast, by component, 2018-2032
9.2.6.2.1 Market estimates and forecast, by solution, 2018-2032
9.2.6.2.2 Market estimates and forecast, by service, 2018-2032
9.2.6.3 Market estimates and forecast, by deployment, 2018-2032
9.2.6.4 Market estimates and forecast, by application, 2018-2032
9.2.6.5 Market estimates and forecast, by end use, 2018-2032
9.2.7 Canada
9.2.7.1 Market estimates and forecast, 2018-2032
9.2.7.2 Market estimates and forecast, by component, 2018-2032
9.2.7.2.1 Market estimates and forecast, by solution, 2018-2032
9.2.7.2.2 Market estimates and forecast, by service, 2018-2032
9.2.7.3 Market estimates and forecast, by deployment, 2018-2032
9.2.7.4 Market estimates and forecast, by application, 2018-2032
9.2.7.5 Market estimates and forecast, by end use, 2018-2032
9.3 Europe
9.3.1 Market estimates and forecast, 2018-2032
9.3.2 Market estimates and forecast, by component, 2018-2032
9.3.2.1 Market estimates and forecast, by solution, 2018-2032
9.3.2.2 Market estimates and forecast, by service, 2018-2032
9.3.3 Market estimates and forecast, by deployment, 2018-2032
9.3.4 Market estimates and forecast, by application, 2018-2032
9.3.5 Market estimates and forecast, by end use, 2018-2032
9.3.6 UK
9.3.6.1 Market estimates and forecast, 2018-2032
9.3.6.2 Market estimates and forecast, by component, 2018-2032
9.3.6.2.1 Market estimates and forecast, by solution, 2018-2032
9.3.6.2.2 Market estimates and forecast, by service, 2018-2032
9.3.6.3 Market estimates and forecast, by deployment, 2018-2032
9.3.6.4 Market estimates and forecast, by application, 2018-2032
9.3.6.5 Market estimates and forecast, by end use, 2018-2032
9.3.7 Germany
9.3.7.1 Market estimates and forecast, 2018-2032
9.3.7.2 Market estimates and forecast, by component, 2018-2032
9.3.7.2.1 Market estimates and forecast, by solution, 2018-2032
9.3.7.2.2 Market estimates and forecast, by service, 2018-2032
9.3.7.3 Market estimates and forecast, by deployment, 2018-2032
9.3.7.4 Market estimates and forecast, by application, 2018-2032
9.3.7.5 Market estimates and forecast, by end use, 2018-2032
9.3.8 France
9.3.8.1 Market estimates and forecast, 2018-2032
9.3.8.2 Market estimates and forecast, by component, 2018-2032
9.3.8.2.1 Market estimates and forecast, by solution, 2018-2032
9.3.8.2.2 Market estimates and forecast, by service, 2018-2032
9.3.8.3 Market estimates and forecast, by deployment, 2018-2032
9.3.8.4 Market estimates and forecast, by application, 2018-2032
9.3.8.5 Market estimates and forecast, by end use, 2018-2032
9.3.9 Italy
9.3.9.1 Market estimates and forecast, 2018-2032
9.3.9.2 Market estimates and forecast, by component, 2018-2032
9.3.9.2.1 Market estimates and forecast, by solution, 2018-2032
9.3.9.2.2 Market estimates and forecast, by service, 2018-2032
9.3.9.3 Market estimates and forecast, by deployment, 2018-2032
9.3.9.4 Market estimates and forecast, by application, 2018-2032
9.3.9.5 Market estimates and forecast, by end use, 2018-2032
9.3.10 Spain
9.3.10.1 Market estimates and forecast, 2018-2032
9.3.10.2 Market estimates and forecast, by component, 2018-2032
9.3.10.2.1 Market estimates and forecast, by solution, 2018-2032
9.3.10.2.2 Market estimates and forecast, by service, 2018-2032
9.3.10.3 Market estimates and forecast, by deployment, 2018-2032
9.3.10.4 Market estimates and forecast, by application, 2018-2032
9.3.10.5 Market estimates and forecast, by end use, 2018-2032
9.3.11 Netherlands
9.3.11.1 Market estimates and forecast, 2018-2032
9.3.11.2 Market estimates and forecast, by component, 2018-2032
9.3.11.2.1 Market estimates and forecast, by solution, 2018-2032
9.3.11.2.2 Market estimates and forecast, by service, 2018-2032
9.3.11.3 Market estimates and forecast, by deployment, 2018-2032
9.3.11.4 Market estimates and forecast, by application, 2018-2032
9.3.11.5 Market estimates and forecast, by end use, 2018-2032
9.4 Asia Pacific
9.4.1 Market estimates and forecast, 2018-2032
9.4.2 Market estimates and forecast, by component, 2018-2032
9.4.2.1 Market estimates and forecast, by solution, 2018-2032
9.4.2.2 Market estimates and forecast, by service, 2018-2032
9.4.3 Market estimates and forecast, by deployment, 2018-2032
9.4.4 Market estimates and forecast, by application, 2018-2032
9.4.5 Market estimates and forecast, by end use, 2018-2032
9.4.6 China
9.4.6.1 Market estimates and forecast, 2018-2032
9.4.6.2 Market estimates and forecast, by component, 2018-2032
9.4.6.2.1 Market estimates and forecast, by solution, 2018-2032
9.4.6.2.2 Market estimates and forecast, by service, 2018-2032
9.4.6.3 Market estimates and forecast, by deployment, 2018-2032
9.4.6.4 Market estimates and forecast, by application, 2018-2032
9.4.6.5 Market estimates and forecast, by end use, 2018-2032
9.4.7 India
9.4.7.1 Market estimates and forecast, 2018-2032
9.4.7.2 Market estimates and forecast, by component, 2018-2032
9.4.7.2.1 Market estimates and forecast, by solution, 2018-2032
9.4.7.2.2 Market estimates and forecast, by service, 2018-2032
9.4.7.3 Market estimates and forecast, by deployment, 2018-2032
9.4.7.4 Market estimates and forecast, by application, 2018-2032
9.4.7.5 Market estimates and forecast, by end use, 2018-2032
9.4.8 Japan
9.4.8.1 Market estimates and forecast, 2018-2032
9.4.8.2 Market estimates and forecast, by component, 2018-2032
9.4.8.2.1 Market estimates and forecast, by solution, 2018-2032
9.4.8.2.2 Market estimates and forecast, by service, 2018-2032
9.4.8.3 Market estimates and forecast, by deployment, 2018-2032
9.4.8.4 Market estimates and forecast, by application, 2018-2032
9.4.8.5 Market estimates and forecast, by end use, 2018-2032
9.4.9 South Korea
9.4.9.1 Market estimates and forecast, 2018-2032
9.4.9.2 Market estimates and forecast, by component, 2018-2032
9.4.9.2.1 Market estimates and forecast, by solution, 2018-2032
9.4.9.2.2 Market estimates and forecast, by service, 2018-2032
9.4.9.3 Market estimates and forecast, by deployment, 2018-2032
9.4.9.4 Market estimates and forecast, by application, 2018-2032
9.4.9.5 Market estimates and forecast, by end use, 2018-2032
9.5 Latin America
9.5.1 Market estimates and forecast, 2018-2032
9.5.2 Market estimates and forecast, by component, 2018-2032
9.5.2.1 Market estimates and forecast, by solution, 2018-2032
9.5.2.2 Market estimates and forecast, by service, 2018-2032
9.5.3 Market estimates and forecast, by deployment, 2018-2032
9.5.4 Market estimates and forecast, by application, 2018-2032
9.5.5 Market estimates and forecast, by end use, 2018-2032
9.5.6 Brazil
9.5.6.1 Market estimates and forecast, 2018-2032
9.5.6.2 Market estimates and forecast, by component, 2018-2032
9.5.6.2.1 Market estimates and forecast, by solution, 2018-2032
9.5.6.2.2 Market estimates and forecast, by service, 2018-2032
9.5.6.3 Market estimates and forecast, by deployment, 2018-2032
9.5.6.4 Market estimates and forecast, by application, 2018-2032
9.5.6.5 Market estimates and forecast, by end use, 2018-2032
9.5.7 Mexico
9.5.7.1 Market estimates and forecast, 2018-2032
9.5.7.2 Market estimates and forecast, by component, 2018-2032
9.5.7.2.1 Market estimates and forecast, by solution, 2018-2032
9.5.7.2.2 Market estimates and forecast, by service, 2018-2032
9.5.7.3 Market estimates and forecast, by deployment, 2018-2032
9.5.7.4 Market estimates and forecast, by application, 2018-2032
9.5.7.5 Market estimates and forecast, by end use, 2018-2032
9.5.8 Argentina
9.5.8.1 Market estimates and forecast, 2018-2032
9.5.8.2 Market estimates and forecast, by component, 2018-2032
9.5.8.2.1 Market estimates and forecast, by solution, 2018-2032
9.5.8.2.2 Market estimates and forecast, by service, 2018-2032
9.5.8.3 Market estimates and forecast, by deployment, 2018-2032
9.5.8.4 Market estimates and forecast, by application, 2018-2032
9.5.8.5 Market estimates and forecast, by end use, 2018-2032
9.6 MEA
9.6.1 Market estimates and forecast, 2018-2032
9.6.2 Market estimates and forecast, by component, 2018-2032
9.6.2.1 Market estimates and forecast, by solution, 2018-2032
9.6.2.2 Market estimates and forecast, by service, 2018-2032
9.6.3 Market estimates and forecast, by deployment, 2018-2032
9.6.4 Market estimates and forecast, by application, 2018-2032
9.6.5 Market estimates and forecast, by end use, 2018-2032
9.6.6 UAE
9.6.6.1 Market estimates and forecast, 2018-2032
9.6.6.2 Market estimates and forecast, by component, 2018-2032
9.6.6.2.1 Market estimates and forecast, by solution, 2018-2032
9.6.6.2.2 Market estimates and forecast, by service, 2018-2032
9.6.6.3 Market estimates and forecast, by deployment, 2018-2032
9.6.6.4 Market estimates and forecast, by application, 2018-2032
9.6.6.5 Market estimates and forecast, by end use, 2018-2032
9.6.7 Saudi Arabia
9.6.7.1 Market estimates and forecast, 2018-2032
9.6.7.2 Market estimates and forecast, by component, 2018-2032
9.6.7.2.1 Market estimates and forecast, by solution, 2018-2032
9.6.7.2.2 Market estimates and forecast, by service, 2018-2032
9.6.7.3 Market estimates and forecast, by deployment, 2018-2032
9.6.7.4 Market estimates and forecast, by application, 2018-2032
9.6.7.5 Market estimates and forecast, by end use, 2018-2032
9.6.8 Israel
9.6.8.1 Market estimates and forecast, 2018-2032
9.6.8.2 Market estimates and forecast, by component, 2018-2032
9.6.8.2.1 Market estimates and forecast, by solution, 2018-2032
9.6.8.2.2 Market estimates and forecast, by service, 2018-2032
9.6.8.3 Market estimates and forecast, by deployment, 2018-2032
9.6.8.4 Market estimates and forecast, by application, 2018-2032
9.6.8.5 Market estimates and forecast, by end use, 2018-2032
9.6.9 South Africa
9.6.9.1 Market estimates and forecast, 2018-2032
9.6.9.2 Market estimates and forecast, by component, 2018-2032
9.6.9.2.1 Market estimates and forecast, by solution, 2018-2032
9.6.9.2.2 Market estimates and forecast, by service, 2018-2032
9.6.9.3 Market estimates and forecast, by deployment, 2018-2032
9.6.9.4 Market estimates and forecast, by application, 2018-2032
9.6.9.5 Market estimates and forecast, by end use, 2018-2032
Chapter 10 Company Profiles
10.1 Amazon Web Services Inc
10.1.1 Business Overview
10.1.2 Financial Data
10.1.3 Product Landscape
10.1.4 Strategic Outlook
10.1.5 SWOT Analysis
10.2 Cisco Systems Inc.
10.2.1 Business Overview
10.2.2 Financial Data
10.2.3 Product Landscape
10.2.4 Strategic Outlook
10.2.5 SWOT Analysis
10.3 Google LLC (Alphabet Inc.)
10.3.1 Business Overview
10.3.2 Financial Data
10.3.3 Product Landscape
10.3.4 Strategic Outlook
10.3.5 SWOT Analysis
10.4 IBM Corporation
10.4.1 Business Overview
10.4.2 Financial Data
10.4.3 Product Landscape
10.4.4 Strategic Outlook
10.4.5 SWOT Analysis
10.5 Intel Corporation
10.5.1 Business Overview
10.5.2 Financial Data
10.5.3 Product Landscape
10.5.4 Strategic Outlook
10.5.5 SWOT Analysis
10.6 Microsoft Corporation
10.6.1 Business Overview
10.6.2 Financial Data
10.6.3 Product Landscape
10.6.4 Strategic Outlook
10.6.5 SWOT Analysis
10.7 Nvidia Corporation
10.7.1 Business Overview
10.7.2 Financial Data
10.7.3 Product Landscape
10.7.4 Strategic Outlook
10.7.5 SWOT Analysis
10.8 Oracle Corporation
10.8.1 Business Overview
10.8.2 Financial Data
10.8.3 Product Landscape
10.8.4 Strategic Outlook
10.8.5 SWOT Analysis
10.9 SAS Institute Inc.
10.9.1 Business Overview
10.9.2 Financial Data
10.9.3 Product Landscape
10.9.4 Strategic Outlook
10.9.5 SWOT Analysis