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AI In Project Management Market

AI in Project Management Market Size, Share & Trends Analysis Report By Application (Project Scheduling & Budgeting, Data Analytics, Reporting, And Visualization, Project Support & Administration, Project Data Management, Risk Management, Resource Allocation, Planning, & Forecasting, Project Task Management, Automation, & Prioritization And Project Monitoring), Component Deployment Mode, Organization Size, Vertical, By Region, And Segment Forecasts, 2023-2031

Report ID : 1714 | Published : 2023-04-11 | Pages: 180 | Format:

The Global AI In Project Management Market Size is valued at 2.35 billion in 2022 and is predicted to reach 8.85 billion by the year 2031 at a 16.07% CAGR during the forecast period for 2023-2031.

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.

AI In Project Management Market

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:

  • 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. 

Competitive Landscape:

Some of the AI in project management market players are:

  • 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)
  • ai (France)
  • RationalPlan (Romania)
  • ClearStrategy (Ireland)
  • Saviom (Australia)
  • CodeComplete (Japan)
  • com (Israel)
  • ImageGrafix (UAE)
  • Orangescrum (US)
  • Smartsheet (US)
  • PSOhub (Netherlands)
  • Bitrix24 (US)
  • Asana (US)
  • Wrike (US)

Market Segmentation:

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.

Based On Component, The Solution Segment Is Accounted As A Major Contributor In The AI In Project Management Market

The solution category is expected to hold a major share in the global AI in project management market in 2022. 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.

Risk Management Segment Witnessed Growth At A Rapid Rate

The risk management segment is projected to grow at a rapid rate in the global AI in project management market. 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.

North America AI In The Project Management Market In The Region Holds A Significant Revenue Share

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.

 AI In Project Management Market Report Scope:

Report Attribute

Specifications

Market size value in 2022

USD 2.35 Bn

Revenue forecast in 2031

USD 8.85 Bn

Growth rate CAGR

CAGR of 16.07 % from 2023 to 2031

Quantitative units

Representation of revenue in US$ Billion, and CAGR from 2023 to 2031

Historic Year

2019 to 2022

Forecast Year

2023-2031

Report coverage

The forecast of revenue, the position of the company, the competitive market statistics, growth prospects, and trends

Segments covered

Component, Application, Deployment Mode, Organization Size And Vertical

Regional scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

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

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).

Customization scope

Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape.

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, 2019 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 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, 2019 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 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, 2019 & 2031
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 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, 2019 & 2031
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 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, 2019 & 2031
9.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 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, 2023-2031
10.1.2. North America AI in Project Management Market Revenue (US$ Million) Estimates and Forecasts by Application, 2023-2031
10.1.3. North America AI in Project Management Market revenue (US$ Million) by Deployment Mode, 2023-2031
10.1.4. North America AI in Project Management Market revenue (US$ Million) by Organization Size, 2023-2031
10.1.5. North America AI in Project Management Market revenue (US$ Million) by Vertical, 2023-2031
10.1.6. North America AI in Project Management Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031

10.2. Europe

10.2.1. Europe AI in Project Management Market revenue (US$ Million) by Component, 2023-2031
10.2.2. Europe AI in Project Management Market revenue (US$ Million) by Application, 2023-2031
10.2.3. Europe AI in Project Management Market revenue (US$ Million) by Deployment Mode, 2023-2031
10.2.4. Europe AI in Project Management Market revenue (US$ Million) by Organization Size, 2023-2031
10.2.5. Europe AI in Project Management Market revenue (US$ Million) by Vertical, 2023-2031
10.2.6. Europe AI in Project Management Market revenue (US$ Million) by country, 2023-2031

10.3. Asia Pacific

10.3.1. Asia Pacific AI in Project Management Market revenue (US$ Million) by Component, 2023-2031
10.3.2. Asia Pacific AI in Project Management Market revenue (US$ Million) by Application, 2023-2031
10.3.3. Asia-Pacific AI in Project Management Market revenue (US$ Million) by Deployment Mode, 2023-2031
10.3.4. Asia Pacific AI in Project Management Market revenue (US$ Million) by Organization Size, 2023-2031
10.3.5. Asia Pacific AI in Project Management Market revenue (US$ Million) by Vertical, 2023-2031

10.4. Latin America

10.4.1. Latin America AI in Project Management Market revenue (US$ Million) by Component, 2023-2031
10.4.2. Latin America AI in Project Management Market revenue (US$ Million) by Application, 2023-2031
10.4.3. Latin America AI in Project Management Market revenue (US$ Million) by Deployment Mode, 2023-2031
10.4.4. Latin America AI in Project Management Market revenue (US$ Million) by Organization Size, 2023-2031
10.4.5. Latin America AI in Project Management Market revenue (US$ Million) by Vertical, 2023-2031
10.4.6. Latin America AI in Project Management Market revenue (US$ Million) by country, 2023-2031

10.5. Middle East & Africa

10.5.1. Middle East & Africa AI in Project Management Market revenue (US$ Million) by Component, 2023-2031
10.5.2. Middle East & Africa AI in Project Management Market revenue (US$ Million) by Application, 2023-2031
10.5.3. Middle East & Africa AI in Project Management Market revenue (US$ Million) by Deployment Mode, 2023-2031
10.5.4. Middle East & Africa AI in Project Management Market revenue (US$ Million) by Organization Size, 2023-2031
10.5.5. Middle East & Africa AI in Project Management Market revenue (US$ Million) by Vertical, 2023-2031
10.5.6. Middle East & Africa AI in Project Management Market revenue (US$ Million) by country, 2023-2031

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

Segmentation of AI in Project Management Market-

AI in Project Management Market By Component

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

AI In Project Management Market

AI in Project Management Market 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

AI in Project Management Market By Deployment Mode

  • Cloud
  • On-Premises

AI in Project Management Market By Organization Size

  • Large Enterprises
  • SMEs

AI in Project Management Market By Vertical

  • Banking, Financial Services, and Insurance
  • Retail & eCommerce
  • Healthcare & Life Sciences
  • Government & Defense
  • IT & ITeS
  • Energy & Utilities
  • Telecommunications
  • Manufacturing
  • Construction & Engineering

AI in Project Management Market 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

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:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

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: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

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.

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Frequently Asked Questions

How big is the AI In Project Management Market?

AI In Project Management Market expected to grow at a 16.07% CAGR during the forecast period for 2023-2031

IBM (US), Oracle (US), Hitachi (Japan), Adobe (US), Microsoft (US), TIS (Japan), ServiceNow (US), Atlassian (Australia), Alice Technologies (US), Aith

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