AI in Project Management Market

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AI in Project Management Market by Component (Solution (Robotic Process Automation, Chatbots & Intelligent Virtual Assistants, Others), Service), Application, Deployment Mode, Organization Size, Vertical and Region - Global Forecast to 2028

FREE BROCHURE FREE SAMPLE REPORT
Report Code: TC 8604 Mar, 2023, by marketsandmarkets.com

The global AI in Project Management Market is projected to grow from USD 2.5 billion in 2023 to USD 5.7 billion by 2028, at a CAGR of 17.3% during the forecast period. Platforms utilizing AI and machine learning have the ability to increase the commercial visibility of projects throughout. Project management teams may take speedier action before hazards threaten project completion because of AI’s ability to recognize and anticipate issues far sooner. For better, quicker decision-making, AI in project management employs machine learning and predictive data analytics to deliver more accurate insights into potential outcomes.

AI in Project Management Market

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Market Dynamics

Driver: Increase in need to enhance the success rate of projects

Project management software and methodologies such as critical path analysis, Gantt charts, and risk management techniques have been used in organizations for centuries. These tools and techniques have been refined over time and have proven to be effective in managing projects across businesses. However, according to project management experts, only 35% of projects hit production and were completed successfully within time, budget, and planning. Major reasons for project failure are inadequate resources, poor project planning and management, lack of stakeholder engagement & communication, and changing project requirements. Organizations can implement AI-based solutions for effective project management that automates routine tasks. The use of AI in project management has the potential to significantly improve project outcomes, reduce costs, increase efficiency, and reduce costs.

Restraint: Increase in concerns over data privacy and security

Data is often regarded as the most crucial organisational asset, necessitating cyber threat defence. Businesses that adopt new, cutting-edge digital technology expose their corporate data to risk. An organisation will always struggle to defeat these dangers, regardless of how well-prepared it is to cope with cybercrimes. Every innovation that promises to enhance company processes also increases the access points for hackers and thieves into IT systems. This is the main obstacle preventing businesses from adopting solutions for project management that are based on Al. Small and medium-sized businesses can readily utilise the affordable public cloud services (SMEs). These services, however, are more vulnerable to cyberattacks and security issues, whilst small businesses cannot afford a private cloud owing to financial restrictions. Also, the accessibility of project management tools on mobile devices makes them more vulnerable to data leaks and cyberattacks. Thus, it may be concluded that businesses in highly regulated industries are reluctant to embrace cutting-edge Al-based project management systems because to financial limitations or information security concerns.

Opportunity: Cost optimization

In today’s competitive business landscape, cost optimization has become a critical focus for organizations looking to improve their bottom line. One area where businesses can find significant opportunities to optimize costs is project management. Using AI-based project management tools, organizations can identify cost-saving opportunities and improve overall project efficiency. AI-based project management tools can help organizations optimize costs by analyzing historical project data to identify areas where they can reduce spending. AI can analyze data on resource utilization, procurement, and project schedules to identify inefficiencies and cost-saving opportunities. This can help businesses allocate resources more effectively, streamline procurement processes, and reduce project delays, all of which can lead to significant cost savings. In addition to cost optimization, AI-based project management tools can also improve overall project efficiency. By automating routine tasks, such as data entry and reporting, project teams can focus on more value-added activities that can drive better project outcomes. Additionally, AI can provide predictive analytics that helps organizations make data-driven decisions, which can lead to more accurate project forecasting and better overall project outcomes.

Challenge: Selecting the right solutions that align with the organizations’ business needs

As there is no one-size-fits-all PPM solution, it can be quite difficult for project-intensive firms to choose the appropriate solution among the options available to suit their unique business objectives in order to remain competitive and afloat in an environment that is becoming more volatile and more competitive. Furthermore, there is no established method for evaluating a PPM solution's capabilities or service standards. Giving control of business data is a crucial issue that still needs to be addressed even after choosing the solution. Companies working on complicated projects in a regulated environment are highly wary about their data because a data loss might cost the company millions of dollars and damage its reputation.  Also, if the adopted solution doesn't take into account any of the factors, it will have an effect on businesses' everyday operations and lower worker productivity, which could lead to financial losses. 73% of firms do not have enough resources to satisfy demand, and 55% report that their projects and resources are not well-aligned with business objectives, according to Planview's 2017 Project and Portfolio Management Study.

By application, risk management to register at the highest CAGR among applications during the forecast period

The market for AI in project management by application 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; project monitoring; and others (performance tracking and KPI management). The risk management application is projected to grow at the highest CAGR during the forecast period. The activity of detecting, assessing, and preventing or minimizing risks to a project that have the potential to affect the desired outcomes is known as risk management in project management. Typically, project managers are in charge of supervising the risk management procedure throughout the whole course of a certain project. Project managers need a comprehensive grasp of their goals in order to spot any potential obstacles that can limit the team’s capacity to achieve outcomes. This is necessary for successful risk management.

By solution, predictive analytics segments to projected to be the largest market size during the forecast period

Predictive analytics is being used by a greater number of sectors to boost their profitability and competitiveness. Organizations may use predictive analytics to assess variance and variation, regularly improve predictions, and monitor projections alongside past performance. Service teams are given the information they require when needed by making this forecasting data visible and accessible. This strategy can assist businesses in overcoming several obstacles. This involves maintaining the projects within their allotted scope, money, and time.

North America to account for the largest market size during the forecast period

North America is expected to have the largest market share in AI in project management. Project managers are among the roles that artificial intelligence (AI) is beginning to take over in more conventional commercial contexts to supplement or help. Artificial intelligence (AI) has the unique capacity to swiftly evaluate huge volumes of business data, identify patterns, make conclusions from them, and make predictions. AI in project management is essential for organizations due to its ability to estimate project outcomes and monitor particular patterns quickly and correctly.

AI in Project Management Market Size, and Share

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Key Market Players

The AI in project management vendors have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major vendors in the global market for AI in project management 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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Scope of the Report

Report Metrics

Details

Market size available for years

2017–2028

Base year considered

2022

Forecast period

2023–2028

Forecast units

USD Billion

Segments covered

Component, Application, Deployment Mode, Organization Size, Vertical, and Region

Geographies covered

North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America

Companies covered

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).

This research report categorizes the AI in project management market based on component, application, deployment mode, organization size, vertical, and region.

By Component:
  • Solutions
    • Robotic process automation
    • Chatbots & intelligent virtual assistants
    • Predictive analytics
    • Speech recognition
  • Services
    • Consulting
    • Deployment & integration
    • 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
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia & New Zealand
    • ASEAN
    • Rest of Asia Pacific
  • Middle East & Africa
    • UAE
    • Kingdom of Saudi Arabia
    • Israel
    • Turkey
    • South Africa
    • Rest of the Middle East & Africa
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America

Recent Developments:

  • In February 2023, Hitachi launched the next-generation TXpert Hub to digitalize the transformers. The TXpert Hub enables monitoring by aggregating, storing, and analyzing the information received from the transformer’s digital sensors.
  • In January 2023, TIS Inc. announced a capital and business alliance with Vector Consulting Group. Vector would provide its clients with value-added consulting services to build innovative models that enhance the long-term competitive advantage of clients.
  • In December 2022, IBM announced an agreement to acquire Octo, a US-based IT modernization and digital transformation services provider exclusively serving the US federal government, including defense, health, and civilian agencies.
  • In November 2022, Oracle NetSuite announced updates to NetSuite Analytics Warehouse. The latest updates enhanced the first and only prebuilt data warehouse and analytics solution for NetSuite customers by making it easier for customers to blend relevant data sets and introducing new prebuilt visualization capabilities.
  • In October 2022, Microsoft launched Microsoft Syntex, a content AI integrated into the flow of work. It put people at the center, with content seamlessly integrated into collaboration and workflows, turning content from a cost into an advantage. Syntex would automatically read, tag, and index high volumes of content and connect it where needed—in search, in applications, and as reusable knowledge.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 39)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
    1.3 INCLUSIONS & EXCLUSIONS 
    1.4 MARKET SCOPE 
           1.4.1 MARKET SEGMENTATION
           1.4.2 REGIONS COVERED
    1.5 YEARS CONSIDERED 
    1.6 CURRENCY CONSIDERED 
           TABLE 1 USD EXCHANGE RATES, 2020–2022
    1.7 STAKEHOLDERS 
 
2 RESEARCH METHODOLOGY (Page No. - 44)
    2.1 RESEARCH DATA 
           FIGURE 1 AI IN PROJECT MANAGEMENT MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    2.1.2.1 Primary interviews
                    2.1.2.2 Breakup of primary profiles
                    2.1.2.3 Key industry insights
    2.2 DATA TRIANGULATION 
    2.3 MARKET SIZE ESTIMATION 
           FIGURE 2 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 3 APPROACH 1 (SUPPLY SIDE): REVENUE FROM SOLUTIONS/SERVICES OF AI IN PROJECT MANAGEMENT
                    FIGURE 4 APPROACH 2: BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM SOLUTIONS/SERVICES OF AI IN PROJECT MANAGEMENT
                    FIGURE 5 APPROACH 3: BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM SOLUTIONS/SERVICES OF AI IN PROJECT MANAGEMENT
                    FIGURE 6 APPROACH 4: BOTTOM-UP (DEMAND SIDE): SHARE OF AI IN PROJECT MANAGEMENT SOLUTIONS AND SERVICES THROUGH OVERALL SPENDING
    2.4 MARKET FORECAST 
           TABLE 2 FACTOR ANALYSIS
    2.5 STUDY ASSUMPTIONS 
    2.6 STUDY LIMITATIONS 
    2.7 RECESSION IMPACT 
 
3 EXECUTIVE SUMMARY (Page No. - 56)
    TABLE 3 AI IN PROJECT MANAGEMENT MARKET SIZE AND GROWTH RATE, 2017–2022 (USD MILLION, Y-O-Y) 
    TABLE 4 MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y) 
    FIGURE 7 SOLUTIONS TO ACCOUNT FOR LARGER MARKET SIZE IN 2023 
    FIGURE 8 CONSULTING SERVICES TO ACCOUNT LARGER MARKET SHARE IN 2023 
    FIGURE 9 PREDICTIVE ANALYTICS TO BE LARGEST MARKET IN 2023 
    FIGURE 10 CLOUD DEPLOYMENT TO BE MORE PREFERRED IN 2023 
    FIGURE 11 LARGE ENTERPRISES TO ACCOUNT FOR MORE ADOPTION IN 2023 
    FIGURE 12 DATA ANALYTICS, REPORTING, AND VISUALIZATION APPLICATION TO BE LARGEST MARKET IN 2023 
    FIGURE 13 IT & ITES VERTICAL TO ACCOUNT FOR LARGEST IMPLEMENTATION IN 2023 
    FIGURE 14 NORTH AMERICA TO BE LARGEST REGIONAL MARKET IN 2023 
 
4 PREMIUM INSIGHTS (Page No. - 61)
    4.1 ATTRACTIVE MARKET OPPORTUNITIES FOR AI IN PROJECT MANAGEMENT MARKET PLAYERS 
           FIGURE 15 HIGH DEMAND FOR PLATFORM TRANSFERRING DATA FROM ON-PREMISES TO CLOUD
    4.2 MARKET, BY VERTICAL 
           FIGURE 16 IT/ITES VERTICAL TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD
    4.3 MARKET, BY REGION 
           FIGURE 17 NORTH AMERICA TO BE LARGEST MARKET BY 2028
    4.4 MARKET: TOP COMPONENTS AND VERTICALS 
           FIGURE 18 SOLUTIONS AND IT/ITES SEGMENTS TO ACCOUNT FOR LARGEST RESPECTIVE MARKET SHARES BY 2028
 
5 MARKET OVERVIEW (Page No. - 63)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 19 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: AI IN PROJECT MANAGEMENT MARKET
           5.2.1 DRIVERS
                    5.2.1.1 Higher need to enhance success rate of projects
                    5.2.1.2 Increase in focus on agile project management methodologies
                    5.2.1.3 Need to improve operational performance to gain competitive benefits
           5.2.2 RESTRAINTS
                    5.2.2.1 Increase in concerns over data privacy and security
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Cost optimization
   (Page No. - )
           5.2.4 CHALLENGES
                    5.2.4.1 Selecting right solutions that align with organizations’ business needs
                    5.2.4.2 Blending AI-based PM solutions with legacy systems
    5.3 INDUSTRY TRENDS 
           5.3.1 EVOLUTION OF AI IN PROJECT MANAGEMENT
                    FIGURE 20 THE EVOLUTION OF AI IN PROJECT MANAGEMENT
                    5.3.1.1 Traditional Project Management
                    5.3.1.2 New Project Management Approach
                    5.3.1.3 Traditional Project Management Vs AI in Project Management
           5.3.2 KEY STAGES IN AI IN PROJECT MANAGEMENT
           5.3.3 VALUE CHAIN ANALYSIS
                    FIGURE 21 AI IN PROJECT MANAGEMENT MARKET: VALUE CHAIN ANALYSIS
                    5.3.3.1 Data Collection
                    5.3.3.2 Data Analysis
                    5.3.3.3 Decision Making
                    5.3.3.4 Implementation
                    5.3.3.5 Evaluation
                    5.3.3.6 End Users/Applications
           5.3.4 ECOSYSTEM
                    TABLE 5 AI IN PROJECT MANAGEMENT MARKET: ECOSYSTEM
           5.3.5 CASE STUDY ANALYSIS
                    TABLE 6 ATLASSIAN (TRELLO) HELPED ITS CLIENT IMPROVE PROJECT PRODUCTIVITY, EFFICIENCY, AND COLLABORATION
                    TABLE 7 IMPROVED PROJECT MANAGEMENT EFFICIENCY WITH AI IN PROJECT MANAGEMENT: PROGGIO SOLUTION
                    TABLE 8 STREAMLINING LOGISTICS MANAGEMENT WITH AI IN PROJECT MANAGEMENT SOLUTIONS: TIS
                    TABLE 9 ENHANCING IT SERVICE MANAGEMENT EFFICIENCY WITH AI IN PROJECT MANAGEMENT: SERVICENOW
                    TABLE 10 TRANSFORMING PROJECT MANAGEMENT EFFICIENCY WITH AI IN PROJECT MANAGEMENT: HITACHI
                    TABLE 11 REVOLUTIONIZING INVENTORY MANAGEMENT AND SUPPLY CHAIN WITH AI IN PROJECT MANAGEMENT: AITHEON
           5.3.6 PATENT ANALYSIS
                    5.3.6.1 Methodology
                    5.3.6.2 Document Types
                               TABLE 12 PATENTS FILED, 2019–2022
                    5.3.6.3 Innovation and Patent Applications
                               FIGURE 22 NUMBER OF PATENTS GRANTED ANNUALLY, 2019–2022
                               5.3.6.3.1 Top applicants
                               FIGURE 23 TOP 10 PATENT APPLICANTS WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2019–2022
                               TABLE 13 LIST OF PATENTS IN AI IN PROJECT MANAGEMENT MARKET, 2021–2023
           5.3.7 PRICING ANALYSIS
                    TABLE 14 PRICING ANALYSIS
           5.3.8 PORTER’S FIVE FORCES MODEL
                    TABLE 15 MARKET: PORTER’S FIVE FORCES MODEL
                    5.3.8.1 Threat of new entrants
                    5.3.8.2 Threat of substitutes
                    5.3.8.3 Bargaining power of buyers
                    5.3.8.4 Bargaining power of suppliers
                    5.3.8.5 Competitive rivalry
           5.3.9 KEY STAKEHOLDERS AND BUYING CRITERIA
                    5.3.9.1 Key stakeholders in buying process
                               FIGURE 24 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
                               TABLE 16 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
                    5.3.9.2 Buying criteria
                               FIGURE 25 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
                               TABLE 17 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
    5.4 TECHNOLOGY ANALYSIS 
           5.4.1 RELATED TECHNOLOGY
                    5.4.1.1 Artificial Intelligence
                    5.4.1.2 Machine Learning
                    5.4.1.3 Data Mining
                    5.4.1.4 Natural Language Processing
                    5.4.1.5 Correlation analysis
           5.4.2 ALLIED TECHNOLOGIES
                    5.4.2.1 IoT
                    5.4.2.2 Big data
                    5.4.2.3 Digital twin
    5.5 DISRUPTIONS IMPACTING BUYERS/CLIENTS IN AI IN PROJECT MANAGEMENT MARKET 
           FIGURE 26 MARKET: DISRUPTIONS IMPACTING BUYERS/CLIENTS
    5.6 KEY CONFERENCES & EVENTS 
           TABLE 18 MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2022–2023
    5.7 REGULATORY LANDSCAPE 
           5.7.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 19 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 20 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 21 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 22 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    5.7.1.1 North America
                               5.7.1.1.1 US
                               5.7.1.1.2 Canada
                    5.7.1.2 Europe
                    5.7.1.3 Asia Pacific
                               5.7.1.3.1 South Korea
                               5.7.1.3.2 China
                               5.7.1.3.3 India
                    5.7.1.4 Middle East & Africa
                               5.7.1.4.1 UAE
                               5.7.1.4.2 KSA
                               5.7.1.4.3 Bahrain
                    5.7.1.5 Latin America
                               5.7.1.5.1 Brazil
                               5.7.1.5.2 Mexico
 
6 AI IN PROJECT MANAGEMENT MARKET, BY COMPONENT (Page No. - 89)
    6.1 INTRODUCTION 
           6.1.1 COMPONENT: MARKET DRIVERS
                    FIGURE 27 SERVICES TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 23 AMARKET, BY COMPONENT, 2017–2022 (USD MILLION)
                    TABLE 24 MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
    6.2 SOLUTION 
           FIGURE 28 PREDICTIVE ANALYTICS SOLUTION TO ACCOUNT FOR LARGEST MARKET SIZE DURING THE FORECAST PERIOD
           TABLE 25 MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
           TABLE 26 MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
           TABLE 27 MARKET, BY REGION, 2017–2022 (USD MILLION)
           TABLE 28 MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.1 ROBOTIC PROCESS AUTOMATION
                    6.2.1.1 Rise in need for automation in project management
                               TABLE 29 ROBOTIC PROCESS AUTOMATION: AI IN PROJECT MANAGEMENT MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 30 ROBOTIC PROCESS AUTOMATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.2 CHATBOTS & INTELLIGENT VIRTUAL ASSISTANTS
                    6.2.2.1 Demand for employing virtual project assistants to expedite processes
                               TABLE 31 CHATBOTS & INTELLIGENT VIRTUAL ASSISTANTS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 32 CHATBOTS & INTELLIGENT VIRTUAL ASSISTANTS: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.3 PREDICTIVE ANALYTICS
                    6.2.3.1 Increase in use of predictive analytics in project management to boost profitability and competitiveness
                               TABLE 33 PREDICTIVE ANALYTICS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 34 PREDICTIVE ANALYTICS: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.4 SPEECH RECOGNITION
                    6.2.4.1 Employing speech recognition to reduce time and effort
                               TABLE 35 SPEECH RECOGNITION: AI IN PROJECT MANAGEMENT MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 36 SPEECH RECOGNITION: MARKET, BY REGION, 2023–2028 (USD MILLION)
    6.3 SERVICES 
           FIGURE 29 CONSULTING SERVICES TO ACCOUNT FOR LARGEST MARKET SIZE DURING FORECAST PERIOD
           TABLE 37 SERVICES: MARKET, BY TYPE, 2017–2022 (USD MILLION)
           TABLE 38 SERVICES: MARKET, BY TYPE, 2023–2028 (USD MILLION)
           TABLE 39 SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
           TABLE 40 SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.3.1 CONSULTING SERVICES
                    6.3.1.1 Rise in demand for lowering risks, reducing complexities, and increasing RoI
                               TABLE 41 CONSULTING SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 42 CONSULTING SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.3.2 DEPLOYMENT & INTEGRATION SERVICES
                    6.3.2.1 Growing need for efficient and effective implementation of AI solutions in project management
                               TABLE 43 DEPLOYMENT & INTEGRATION SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 44 DEPLOYMENT & INTEGRATION SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.3.3 SUPPORT & MAINTENANCE SERVICES
                    6.3.3.1 Increase in demand for data management
                               TABLE 45 SUPPORT & MAINTENANCE SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 46 SUPPORT & MAINTENANCE SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
7 AI IN PROJECT MANAGEMENT MARKET, BY DEPLOYMENT MODE (Page No. - 103)
    7.1 INTRODUCTION 
           7.1.1 DEPLOYMENT MODE: MARKET DRIVERS
                    FIGURE 30 CLOUD DEPLOYMENT MODE TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 47 MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                    TABLE 48 MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
    7.2 ON-PREMISES 
           7.2.1 ABILITY TO MAINTAIN CONTROL AND REDUCE COMPLEXITIES
                    TABLE 49 ON-PREMISE DEPLOYMENT MODE: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 50 ON-PREMISE DEPLOYMENT MODE: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.3 CLOUD 
           7.3.1 GREATER NEED FOR REAL-TIME INSIGHTS
                    TABLE 51 CLOUD DEPLOYMENT MODE: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 52 CLOUD DEPLOYMENT MODE: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
8 AI IN PROJECT MANAGEMENT MARKET, BY ORGANIZATION SIZE (Page No. - 108)
    8.1 INTRODUCTION 
           8.1.1 ORGANIZATION SIZE: MARKET DRIVERS
                    FIGURE 31 SMALL & MEDIUM-SIZED ENTERPRISES TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 53 MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION)
                    TABLE 54 MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
    8.2 SMALL & MEDIUM-SIZED ENTERPRISES 
           8.2.1 RISE IN INNOVATIVE BUSINESS APPROACHES AMONG SMALLER PLAYERS
                    TABLE 55 SMALL & MEDIUM-SIZED ENTERPRISES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 56 SMALL & MEDIUM-SIZED ENTERPRISES: MARKET, BY REGION, 2023–2028(USD MILLION)
    8.3 LARGE ENTERPRISES 
           8.3.1 INVESTMENTS BY LARGE ENTERPRISES TO IMPLEMENT SUITABLE AI IN PROJECT MANAGEMENT SOLUTIONS AND SERVICES
                    TABLE 57 LARGE ENTERPRISES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 58 LARGE ENTERPRISES: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
9 AI IN PROJECT MANAGEMENT MARKET, BY APPLICATION (Page No. - 113)
    9.1 INTRODUCTION 
           9.1.1 APPLICATION: MARKET DRIVERS
                    FIGURE 32 RISK MANAGEMENT APPLICATION TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 59 AI IN PROJECT MANAGEMENT, BY APPLICATION, 2017–2022 (USD MILLION)
                    TABLE 60 AI IN PROJECT MANAGEMENT, BY APPLICATION, 2023–2028 (USD MILLION)
    9.2 DATA ANALYTICS, REPORTING, AND VISUALIZATION 
           9.2.1 ABILITY TO PROVIDE ACTIONABLE INSIGHTS BY ANALYZING COMPLEX DATA SETS AND IDENTIFYING TRENDS
                    TABLE 61 DATA ANALYTICS, REPORTING, AND VISUALIZATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 62 DATA ANALYTICS, REPORTING, AND VISUALIZATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.3 PROJECT TASK MANAGEMENT, AUTOMATION, AND PRIORITIZATION 
           9.3.1 RAPID ADOPTION OF AI TECHNOLOGIES TO AUTOMATE, PRIORITIZE AND OPTIMIZE PROJECT MANAGEMENT ACTIVITIES
                    TABLE 63 PROJECT TASK MANAGEMENT, AUTOMATION, AND PRIORITIZATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 64 PROJECT TASK MANAGEMENT, AUTOMATION, AND PRIORITIZATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.4 PROJECT SCHEDULING & BUDGETING 
           9.4.1 AI TECHNOLOGIES REVOLUTIONIZE HUMAN RESOURCE FUNCTIONS AND PRACTICES
                    TABLE 65 PROJECT SCHEDULING & BUDGETING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 66 PROJECT SCHEDULING & BUDGETING: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.5 PROJECT SUPPORT & ADMINISTRATION 
           9.5.1 AI ALGORITHMS TRAINED TO DETECT CHANGES IN PROJECT DATA
                    TABLE 67 PROJECT SUPPORT & ADMINISTRATION: AI IN PROJECT MANAGEMENT MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 68 PROJECT SUPPORT & ADMINISTRATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.6 RISK MANAGEMENT 
           9.6.1 AI-POWERED RISK MANAGEMENT STRATEGIES ELIMINATE POTENTIAL RISK IN PROJECT MANAGEMENT
                    TABLE 69 RISK MANAGEMENT: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 70 RISK MANAGEMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.7 PROJECT DATA MANAGEMENT 
           9.7.1 AI-INTEGRATED SOLUTIONS MANAGE DATA DURING HIGHLY COMPLEX PROJECTS
                    TABLE 71 PROJECT DATA MANAGEMENT: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 72 PROJECT DATA MANAGEMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.8 RESOURCE ALLOCATION & FORECASTING 
           9.8.1 PROGRAMMATIC TRENDS AND OPPORTUNITIES OFFERED TO MARKETERS
                    TABLE 73 RESOURCE ALLOCATION & FORECASTING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 74 RESOURCE ALLOCATION & FORECASTING: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.9 PROJECT MONITORING 
           9.9.1 BUSINESSES COMPREHENSIVE UNDERSTANDING OF PROJECT PERFORMANCE
                    TABLE 75 PROJECT MONITORING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 76 PROJECT MONITORING: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.10 OTHER APPLICATIONS 
           TABLE 77 OTHER APPLICATIONS: MARKET, BY REGION, 2017–2022 (USD MILLION)
           TABLE 78 OTHER APPLICATIONS: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
10 AI IN PROJECT MANAGEMENT MARKET, BY VERTICAL (Page No. - 126)
     10.1 INTRODUCTION 
             10.1.1 VERTICAL: MARKET DRIVERS
                       FIGURE 33 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                       TABLE 79 MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 80 MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
     10.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 
             10.2.1 NEED FOR ENHANCED CUSTOMER SERVICE
                       TABLE 81 BFSI: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 82 BFSI: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.3 RETAIL & ECOMMERCE 
             10.3.1 OPTIMIZING MULTIPLE PROJECT MANAGEMENT
                       TABLE 83 RETAIL & ECOMMERCE: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 84 RETAIL & ECOMMERCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.4 MANUFACTURING 
             10.4.1 LEVERAGING AI IN PROJECT MANAGEMENT TO MAINTAIN COMPETITIVENESS IN MANUFACTURING INDUSTRY
                       TABLE 85 MANUFACTURING: AI IN PROJECT MANAGEMENT MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 86 MANUFACTURING: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.5 GOVERNMENT & DEFENSE 
             10.5.1 DEMAND FOR EMPOWERING EFFICIENCY AND SECURITY IN GOVERNMENT & DEFENSE PROJECTS
                       TABLE 87 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 88 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.6 HEALTHCARE & LIFE SCIENCES 
             10.6.1 CATALYZING RESEARCH PROCESSES WITH LARGE DATASETS
                       TABLE 89 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 90 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.7 IT & ITES 
             10.7.1 RISING COMPLEXITY AND FAST INNOVATIONS IN IT
                       TABLE 91 IT & ITES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 92 IT & ITES: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.8 ENERGY & UTILITIES 
             10.8.1 ADVANCED AI TECHNOLOGIES HELP BUILD ACCOUNTABLE, TRANSPARENT, FAIR, AND SECURE SYSTEMS
                       TABLE 93 ENERGY & UTILITIES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 94 ENERGY & UTILITIES: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.9 TELECOMMUNICATION 
             10.9.1 CONTACT CENTER EFFECTIVENESS, REDUCED OPERATIONAL COST, AND IMPROVED SERVICE LEVEL
                       TABLE 95 TELECOMMUNICATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 96 TELECOMMUNICATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.10 CONSTRUCTION & ENGINEERING 
               10.10.1 ENHANCED PERFORMANCE AND REDUCED REDUNDANCIES IN MANUFACTURING
                                   TABLE 97 CONSTRUCTION & ENGINEERING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                                   TABLE 98 CONSTRUCTION & ENGINEERING: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.11 OTHER VERTICALS 
                       TABLE 99 OTHER VERTICALS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 100 OTHER VERTICALS: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
11 AI IN PROJECT MANAGEMENT MARKET, BY REGION (Page No. - 140)
     11.1 INTRODUCTION 
               FIGURE 34 INDIA TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
               FIGURE 35 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
               TABLE 101 MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 102 MARKET, BY REGION, 2023–2028 (USD MILLION)
     11.2 NORTH AMERICA 
             11.2.1 NORTH AMERICA: MARKET DRIVERS
             11.2.2 NORTH AMERICA: IMPACT OF RECESSION
                       FIGURE 36 NORTH AMERICA: AI IN PROJECT MANAGEMENT MARKET SNAPSHOT
                       TABLE 103 NORTH AMERICA: MARKET, BY COMPONENT, 2017–2022 (USD MILLION)
                       TABLE 104 NORTH AMERICA: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
                       TABLE 105 NORTH AMERICA: MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
                       TABLE 106 NORTH AMERICA: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 107 NORTH AMERICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 108 NORTH AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 109 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 110 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 111 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION)
                       TABLE 112 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
                       TABLE 113 NORTH AMERICA: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 114 NORTH AMERICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 115 NORTH AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 116 NORTH AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 117 NORTH AMERICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 118 NORTH AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.2.3 US
                       11.2.3.1 Innovations and initiatives to enable quick adoption of advanced technologies
             11.2.4 CANADA
                       11.2.4.1 Rapid investments in R&D to adopt advanced technologies
     11.3 EUROPE 
             11.3.1 EUROPE: MARKET DRIVERS
             11.3.2 EUROPE: IMPACT OF RECESSION
                       TABLE 119 EUROPE: AI IN PROJECT MANAGEMENT MARKET, BY COMPONENT, 2017–2022 (USD MILLION)
                       TABLE 120 EUROPE: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
                       TABLE 121 EUROPE: MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
                       TABLE 122 EUROPE: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 123 EUROPE: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 124 EUROPE: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 125 EUROPE: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 126 EUROPE: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 127 EUROPE: MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION)
                       TABLE 128 EUROPE: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
                       TABLE 129 EUROPE: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 130 EUROPE: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 131 EUROPE: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 132 EUROPE: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 133 EUROPE: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 134 EUROPE: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.3.3 UK
                       11.3.3.1 Initiatives by government to position UK as global science superpower
             11.3.4 GERMANY
                       11.3.4.1 Strong infrastructure and skilled labor force to smoothen AI capabilities
             11.3.5 FRANCE
                       11.3.5.1 High potential client base and a heavy capital inflow from various investors
             11.3.6 ITALY
                       11.3.6.1 Spread of cyber threats to drive AI-based solutions
             11.3.7 SPAIN
                       11.3.7.1 Several initiatives and developments to provide huge potential for AI across various sectors
             11.3.8 REST OF EUROPE
     11.4 ASIA PACIFIC 
             11.4.1 ASIA PACIFIC: MARKET DRIVERS
             11.4.2 ASIA PACIFIC: IMPACT OF RECESSION
                       FIGURE 37 ASIA PACIFIC: AI IN PROJECT MANAGEMENT MARKET SNAPSHOT
                       TABLE 135 ASIA PACIFIC: MARKET, BY COMPONENT, 2017–2022 (USD MILLION)
                       TABLE 136 ASIA PACIFIC: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
                       TABLE 137 ASIA PACIFIC: MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
                       TABLE 138 ASIA PACIFIC: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 139 ASIA PACIFIC: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 140 ASIA PACIFIC: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 141 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 142 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 143 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION)
                       TABLE 144 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
                       TABLE 145 ASIA PACIFIC: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 146 ASIA PACIFIC: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 147 ASIA PACIFIC: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 148 ASIA PACIFIC: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 149 ASIA PACIFIC: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 150 ASIA PACIFIC: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.4.3 CHINA
                       11.4.3.1 Significant untapped AI opportunities
             11.4.4 JAPAN
                       11.4.4.1 Potential of organic growth capabilities
             11.4.5 ASEAN
                       11.4.5.1 Growth in number of AI startups and initiatives
             11.4.6 AUSTRALIA & NEW ZEALAND
                       11.4.6.1 Significant investments in government agencies and academic institutions to promote innovation
             11.4.7 SOUTH KOREA
                       11.4.7.1 Need for enhanced AI infrastructure
             11.4.8 INDIA
                       11.4.8.1 Rise in number of AI startups and initiatives
             11.4.9 REST OF ASIA PACIFIC
     11.5 MIDDLE EAST & AFRICA 
             11.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
             11.5.2 MIDDLE EAST & AFRICA: IMPACT OF RECESSION
                       TABLE 151 MIDDLE EAST & AFRICA: AI IN PROJECT MANAGEMENT MARKET, BY COMPONENT, 2017–2022 (USD MILLION)
                       TABLE 152 MIDDLE EAST & AFRICA: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
                       TABLE 153 MIDDLE EAST & AFRICA: MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
                       TABLE 154 MIDDLE EAST & AFRICA: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 155 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 156 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 157 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 158 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 159 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION)
                       TABLE 160 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
                       TABLE 161 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 162 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 163 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 164 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 165 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 166 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.5.3 KINGDOM OF SAUDI ARABIA
                       11.5.3.1 Investments in technologies and projects
             11.5.4 UAE
                       11.5.4.1 Increase in infrastructure projects
             11.5.5 ISRAEL
                       11.5.5.1 Significant focus on R&D
             11.5.6 TURKEY
                       11.5.6.1 New economy created by advent of digital infrastructure powered by IoT
             11.5.7 SOUTH AFRICA
                       11.5.7.1 Companies inclining toward advanced technologies to impart training for effective handling of projects
             11.5.8 REST OF THE MIDDLE EAST & AFRICA
     11.6 LATIN AMERICA 
             11.6.1 LATIN AMERICA: MARKET DRIVERS
             11.6.2 LATIN AMERICA: IMPACT OF RECESSION
                       TABLE 167 LATIN AMERICA: AI IN PROJECT MANAGEMENT MARKET, BY COMPONENT, 2017–2022 (USD MILLION)
                       TABLE 168 LATIN AMERICA: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
                       TABLE 169 LATIN AMERICA: MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
                       TABLE 170 LATIN AMERICA: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 171 LATIN AMERICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 172 LATIN AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 173 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 174 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 175 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION)
                       TABLE 176 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
                       TABLE 177 LATIN AMERICA: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 178 LATIN AMERICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 179 LATIN AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 180 LATIN AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 181 LATIN AMERICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 182 LATIN AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.6.3 BRAZIL
                       11.6.3.1 Emerging IT clusters in manufacturing sector
             11.6.4 MEXICO
                       11.6.4.1 Demand created by increase in cloud-based services
             11.6.5 REST OF LATIN AMERICA
 
12 COMPETITIVE LANDSCAPE (Page No. - 184)
     12.1 OVERVIEW 
     12.2 KEY PLAYER STRATEGIES 
               TABLE 183 OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS IN MARKET
     12.3 REVENUE ANALYSIS 
               FIGURE 38 REVENUE ANALYSIS FOR KEY COMPANIES, 2018–2022 (USD MILLION)
     12.4 MARKET SHARE ANALYSIS 
               FIGURE 39 MARKET SHARE ANALYSIS, BY KEY PLAYER, 2022
               TABLE 184 AI IN PROJECT MANAGEMENT MARKET: DEGREE OF COMPETITION
     12.5 COMPANY EVALUATION QUADRANT 
             12.5.1 STARS
             12.5.2 EMERGING LEADERS
             12.5.3 PERVASIVE PLAYERS
             12.5.4 PARTICIPANTS
                       FIGURE 40 KEY MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2022
     12.6 STARTUP/SME EVALUATION MATRIX 
             12.6.1 PROGRESSIVE COMPANIES
             12.6.2 RESPONSIVE COMPANIES
             12.6.3 DYNAMIC COMPANIES
             12.6.4 STARTING BLOCKS
                       FIGURE 41 STARTUP/SME MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2022
     12.7 COMPETITIVE BENCHMARKING 
               TABLE 185 MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS, 2022
               TABLE 186 MARKET: DETAILED LIST OF KEY STARTUPS/SMES
               TABLE 187 AI IN PROJECT MANAGEMENT MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
     12.8 COMPETITIVE SCENARIO 
             12.8.1 PRODUCT LAUNCHES
                       TABLE 188 PRODUCT LAUNCHES, MAY 2022–FEBRUARY 2023
             12.8.2 DEALS
                       TABLE 189 DEALS, MAY 2022–JANUARY 2023
 
13 COMPANY PROFILES (Page No. - 196)
     13.1 KEY PLAYERS 
(Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View)*
             13.1.1 IBM
                       TABLE 190 IBM: BUSINESS OVERVIEW
                       FIGURE 42 IBM: COMPANY SNAPSHOT
                       TABLE 191 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 192 IBM: PRODUCT LAUNCHES
                       TABLE 193 IBM: DEALS
             13.1.2 ORACLE
                       TABLE 194 ORACLE: BUSINESS OVERVIEW
                       FIGURE 43 ORACLE: COMPANY SNAPSHOT
                       TABLE 195 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 196 ORACLE: PRODUCT LAUNCHES
                       TABLE 197 ORACLE: DEALS
             13.1.3 HITACHI
                       TABLE 198 HITACHI: BUSINESS OVERVIEW
                       FIGURE 44 HITACHI: COMPANY SNAPSHOT
                       TABLE 199 HITACHI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 200 HITACHI: PRODUCT LAUNCHES
                       TABLE 201 HITACHI: DEALS
             13.1.4 ADOBE
                       TABLE 202 ADOBE: BUSINESS OVERVIEW
                       FIGURE 45 ADOBE: COMPANY SNAPSHOT
                       TABLE 203 ADOBE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 204 ADOBE: DEALS
             13.1.5 MICROSOFT
                       TABLE 205 MICROSOFT: BUSINESS OVERVIEW
                       FIGURE 46 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 206 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 207 MICROSOFT: PRODUCT LAUNCHES
                       TABLE 208 MICROSOFT: DEALS
             13.1.6 TIS
                       TABLE 209 TIS: BUSINESS OVERVIEW
                       FIGURE 47 TIS: COMPANY SNAPSHOT
                       TABLE 210 TIS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 211 TIS: DEALS
             13.1.7 SERVICENOW
                       TABLE 212 SERVICENOW: BUSINESS OVERVIEW
                       FIGURE 48 SERVICENOW: COMPANY SNAPSHOT
                       TABLE 213 SERVICENOW: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 214 SERVICENOW: PRODUCT LAUNCHES
                       TABLE 215 SERVICENOW: DEALS
             13.1.8 ATLASSIAN
                       TABLE 216 ATLASSIAN: BUSINESS OVERVIEW
                       FIGURE 49 ATLASSIAN: COMPANY SNAPSHOT
                       TABLE 217 ATLASSIAN: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 218 ATLASSIAN: DEALS
             13.1.9 ALICE TECHNOLOGIES
                       TABLE 219 ALICE TECHNOLOGIES: BUSINESS OVERVIEW
                       TABLE 220 ALICE TECHNOLOGIES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 221 ALICE TECHNOLOGIES: DEALS
             13.1.10 AITHEON
                       TABLE 222 AITHEON: BUSINESS OVERVIEW
                       TABLE 223 AITHEON: PRODUCTS/SOLUTIONS/SERVICES OFFERED
             13.1.11 PMASPIRE
                       TABLE 224 PMASPIRE: BUSINESS OVERVIEW
                       TABLE 225 PMASPIRE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 226 PMASPIRE: DEALS
             13.1.12 FORECAST
                       TABLE 227 FORECAST: BUSINESS OVERVIEW
                       TABLE 228 FORECAST: PRODUCTS/SOLUTIONS/SERVICES OFFERED
             13.1.13 CLICKUP
                       TABLE 229 CLICKUP: BUSINESS OVERVIEW
                       TABLE 230 CLICKUP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 231 CLICKUP: DEALS
             13.1.14 ZOHO
                       TABLE 232 ZOHO: BUSINESS OVERVIEW
                       TABLE 233 ZOHO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 234 ZOHO: DEALS
             13.1.15 PROOFHUB
                       TABLE 235 PROOFHUB: BUSINESS OVERVIEW
                       TABLE 236 PROOFHUB: PRODUCTS/SOLUTIONS/SERVICES OFFERED
* Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View might not be captured in case of unlisted companies.
     13.2 OTHER PLAYERS 
             13.2.1 AZEENDO
             13.2.2 BUBBLZ
             13.2.3 LILI.AI
             13.2.4 RATIONALPLAN
             13.2.5 CLEARSTRATEGY
             13.2.6 SAVIOM
             13.2.7 CODECOMPLETE
             13.2.8 MONDAY.COM
             13.2.9 IMAGEGRAFIX
             13.2.10 ORANGESCRUM
             13.2.11 SMARTSHEET
             13.2.12 PSOHUB
             13.2.13 BITRIX24
             13.2.14 ASANA
             13.2.15 WRIKE
 
14 ADJACENT AND RELATED MARKETS (Page No. - 254)
     14.1 INTRODUCTION 
     14.2 ARTIFICIAL INTELLIGENCE MARKET—GLOBAL FORECAST TO 2027 
             14.2.1 MARKET DEFINITION
             14.2.2 MARKET OVERVIEW
             14.2.3 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING
                       TABLE 237 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD BILLION)
                       TABLE 238 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2022–2027 (USD BILLION)
             14.2.4 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY
                       TABLE 239 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)
                       TABLE 240 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
             14.2.5 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE
                       TABLE 241 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION)
                       TABLE 242 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION)
             14.2.6 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE
                       TABLE 243 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD BILLION)
                       TABLE 244 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD BILLION)
             14.2.7 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION
                       TABLE 245 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION)
                       TABLE 246 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION)
             14.2.8 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL
                       TABLE 247 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2016–2021 (USD BILLION)
                       TABLE 248 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2022–2027 (USD BILLION)
             14.2.9 ARTIFICIAL INTELLIGENCE MARKET, BY REGION
                       TABLE 249 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION)
                       TABLE 250 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION)
     14.3 BIG DATA MARKET—GLOBAL FORECAST TO 2026 
             14.3.1 MARKET DEFINITION
             14.3.2 MARKET OVERVIEW
             14.3.3 BIG DATA MARKET, BY COMPONENT
                       TABLE 251 BIG DATA MARKET, BY COMPONENT, 2016–2020 (USD MILLION)
                       TABLE 252 BIG DATA MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
                       TABLE 253 BIG DATA MARKET, BY SOLUTION, 2016–2020 (USD MILLION)
                       TABLE 254 BIG DATA MARKET, BY SOLUTION, 2021–2026 (USD MILLION)
                       TABLE 255 BIG DATA MARKET, BY SERVICE, 2016–2020 (USD MILLION)
                       TABLE 256 BIG DATA MARKET, BY SERVICE, 2021–2026 (USD MILLION)
                       TABLE 257 PROFESSIONAL BIG DATA SERVICES MARKET, BY TYPE, 2016–2020 (USD MILLION)
                       TABLE 258 PROFESSIONAL BIG DATA SERVICES MARKET, BY TYPE, 2021–2026 (USD MILLION)
                       14.3.3.1 Big data market, by deployment mode
                                   TABLE 259 BIG DATA MARKET, BY DEPLOYMENT MODE, 2016–2020 (USD MILLION)
                                   TABLE 260 BIG DATA MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
                                   TABLE 261 CLOUD DEPLOYMENT MARKET, BY TYPE, 2016–2020 (USD MILLION)
                                   TABLE 262 CLOUD DEPLOYMENT MARKET, BY TYPE, 2021–2026 (USD MILLION)
                       14.3.3.2 Big data market, by organization size
                                   TABLE 263 BIG DATA MARKET, BY ORGANIZATION SIZE, 2016–2020 (USD MILLION)
                                   TABLE 264 BIG DATA MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
                       14.3.3.3 Big data market, by business function
                                   TABLE 265 BIG DATA MARKET, BY BUSINESS FUNCTION, 2016–2020 (USD MILLION)
                                   TABLE 266 BIG DATA MARKET, BY BUSINESS FUNCTION, 2021–2026 (USD MILLION)
                       14.3.3.4 Big data market, by industry vertical
                                   TABLE 267 BIG DATA MARKET, BY INDUSTRY VERTICAL, 2016–2020 (USD MILLION)
                                   TABLE 268 BIG DATA MARKET, BY INDUSTRY VERTICAL, 2021–2026 (USD MILLION)
                       14.3.3.5 Big data market, by region
                                   TABLE 269 BIG DATA MARKET, BY REGION, 2016–2020 (USD MILLION)
                                   TABLE 270 BIG DATA MARKET, BY REGION, 2021–2026 (USD MILLION)
 
15 APPENDIX (Page No. - 269)
     15.1 DISCUSSION GUIDE 
     15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     15.3 CUSTOMIZATION OPTIONS 
     15.4 RELATED REPORTS 
     15.5 AUTHOR DETAILS 

The research methodology for the global AI in project management market report involved the use of extensive secondary sources and directories, as well as various reputed open-source databases, to identify and collect information useful for this technical and market-oriented study. In-depth interviews were conducted with various primary respondents, including the key opinion leaders, subject matter experts, high-level executives of various companies offering AI in project management software and services, and industry consultants to obtain and verify critical qualitative and quantitative information, as well as assess the market prospects and industry trends.

Secondary Research

In the secondary research process, various secondary sources were referred to for identifying and collecting information for the study. The secondary sources included annual reports, press releases, and investor presentations of companies, white papers, certified publications, and articles from recognized associations and government publishing sources.

The secondary research was mainly used to obtain the key information about the industry’s value chain, the market’s monetary chain, the overall pool of key players, market classification and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from both market and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides of the market for AI in the project management ecosystem were interviewed to obtain qualitative and quantitative information for this study. The primary sources from the supply side included industry experts, such as chief executive officers (CEOs), vice presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various vendors providing AI in project management software, and solutions; associated service providers; and system integrators operating in the targeted regions. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

After the complete market engineering (including calculations for market statistics, market breakup, market size estimations, market forecast, and data triangulation), extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. Primary research was also conducted to identify and validate the segmentation types; industry trends; key players; the competitive landscape of the market; and key market dynamics, such as drivers, restraints, opportunities, challenges, industry trends, and key strategies.

In the complete market engineering process, both the top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform the market estimation and market forecast for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to record the key information/insights throughout the report.

The following is the breakup of primary profiles:

AI in Project Management Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

For making market estimates and forecasting for AI in project management and the other dependent submarkets, top-down and bottom-up approaches were used. The bottom-up procedure was used to arrive at the overall market size of the global market for AI in project management, using the revenue from the key companies and their offerings in the market. With data triangulation and validation through primary interviews, the exact value of the overall parent market size was determined and confirmed using this study. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segments.

In the top-down approach, an exhaustive list of all the vendors offering solutions and services in the market for AI in project management was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor’s offerings were evaluated based on the breadth of solution and service components, deployment modes, organization size, and verticals. The aggregate of all the revenues of the companies was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets repository for validation.

In the bottom-up approach, the adoption rate of AI in project management solutions and services among different end-users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of AI in project management solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

All the possible parameters that affect the market covered in the research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The data is consolidated and added with detailed inputs and analysis from MarketsandMarkets.

  • The pricing trend is assumed to vary over time.
  • All the forecasts are made with the standard assumption that the accepted currency is USD.
  • For the conversion of various currencies to USD, average historical exchange rates are used according to the year specified. For all the historical and current exchange rates required for calculations and currency conversions, the US Internal Revenue Service’s website is used.
  • All the forecasts are made under the standard assumption that the globally accepted currency, USD, remains constant during the next five years.
  • Vendor-side analysis: The market size estimates of associated solutions and services are factored in from the vendor side by assuming an average of licensing and subscription-based models of leading and innovative vendors.
  • Demand/end-user analysis: End users operating in verticals across regions are analyzed in terms of market spending on AI in project management solutions based on some of the key use cases. These factors for the AI in the project management tool industry per region are separately analyzed, and the average spending was extrapolated with an approximation based on assumed weightage. This factor is derived by averaging various market influencers, including recent developments, regulations, mergers and acquisitions, enterprise/SME adoption, startup ecosystem, IT spending, technology propensity and maturity, use cases, and the estimated number of organizations per region.

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

AI in project management refers to the deployment of AI-based software tools, platforms, and solutions that enable project managers to automate repetitive activities, such as project communications and interactions, project scheduling and budgeting, data management and analysis from current and historical data, scheduling and sending reminders, and project task and resource management, among others. AI-based software solutions minimize manual errors, enhance planning, and allocation of resources, thereby increasing productivity and efficiency and improving decision-making capability across project management offices.

AI-based tools also assist project managers in handling different tasks during each phase of the project planning process. It enables project managers to process complex project data and uncover patterns that may affect project delivery. AI also automates most redundant tasks, thereby enhancing employee engagement and productivity.

Key Stakeholders

  • Research organizations
  • Third-party service providers
  • Technology providers
  • AI consulting companies
  • Independent software vendors (ISVs)
  • Service providers and distributors
  • Application development vendors
  • System integrators
  • Consultants/consultancy/advisory firms
  • Training and education service providers
  • Support and maintenance service providers
  • Managed service providers

Report Objectives

  • To define, describe, and forecast market for AI in project management based on component, application, technology, deployment mode, organization size, vertical, and region
  • To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the market growth
  • To analyze subsegments with respect to individual growth trends, prospects, and contributions to the total market
  • To analyze opportunities in the market for stakeholders and provide the competitive landscape of the market.
  • To forecast the revenue of the market segments with respect to all the five major regions, namely, North America, Europe, Asia Pacific (APAC), the Middle East & Africa (MEA), and Latin America
  • To profile the key players and comprehensively analyze the recent developments and their positioning related to the market for AI in project management
  • To analyze competitive developments, such as mergers & acquisitions, product developments, and research & development (R&D) activities, in the market
  • To analyze the impact of recession across all the regions across the market for AI in project management

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company

Geographic Analysis

  • Further breakup of the North American market for AI in project management
  • Further breakup of the European market for AI in project management
  • Further breakup of the Asia Pacific market for AI in project management
  • Further breakup of the Latin American market for AI in project management
  • Further breakup of the Middle East & Africa market for AI in project management

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  • Detailed analysis and profiling of additional market players (up to five)
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Report Code
TC 8604
Published ON
Mar, 2023
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