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AI in Project Management Market Analysis By Component (Software, Services), By Deployment (Cloud-Based, On-Premises), By Technology (Machine Learning, Natural Language Processing, Computer Vision, Others), By Application (Project Planning and Scheduling, Task Management, Risk Management, Resource Management, Others), By Industry (Healthcare, IT & Telecom, BFSI, Construction, Others) & Forecast 2024-2035

  • PUBLISHED ON
  • 4/13/2023
  • NO OF PAGES
  • 262
  • CATEGORY
  • Information Technology
Market Overview:
The global AI in project management market is projected to grow from USD 2.6 billion in 2022 to USD 6.9 billion by 2032, at a compound annual growth rate (CAGR) of 37.7% during the forecast period. The AI in project management market refers to the application of artificial intelligence (AI) technology in project management processes. AI-based project management tools and software are used to automate and streamline various project management tasks, such as task assignment, scheduling, budgeting, risk management, and resource allocation. This helps organizations to improve their project efficiency, reduce project costs, and enhance project outcomes. The AI in project management market is expected to grow significantly in the coming years, driven by the increasing adoption of AI technology in various industries. The increasing need for efficient project management solutions, rising demand for automation in project management processes, and growing investments in AI technology are some of the key factors driving the growth of the AI in project management market. Additionally, the integration of AI with other advanced technologies such as machine learning, natural language processing, and computer vision is further propelling AI in project management market growth.
Driver: Growing need for automation and optimization of project management processes is propelling AI in Project Management Market growth.
One driving factor of the AI in Project Management market is the increasing need for automation and optimization of project management processes. With the growing complexity of projects and the increasing demand for efficiency, project managers are turning to AI solutions to help them manage projects more effectively. AI can assist in automating repetitive tasks, providing real-time data analysis, predicting project risks, and optimizing resource allocation. The use of AI in project management can also help reduce costs and improve project outcomes. This is driving the adoption of AI in project management market across various industries, including IT, healthcare, construction, and manufacturing, among others.
Segmentation:
By Component
• Software
• Services
By Deployment
• Cloud-Based
• On-Premises
By Technology
• Machine Learning
• Natural Language Processing
• Computer Vision
• Others
By Application
• Project Planning and Scheduling
• Task Management
• Risk Management
• Resource Management
• Others
By Industry
• Healthcare
• IT & Telecom
• BFSI
• Construction
• Others
Geographical Analysis:
North America and Europe are expected to hold significant AI in project management market shares due to the high adoption of advanced technologies in project management in these regions. Additionally, the Asia Pacific region is also expected to witness substantial AI in project management market growth due to the increasing demand for automated project management solutions in various industries, especially in emerging economies such as China and India. The Asia Pacific (APAC) region is experiencing significant economic growth, leading to an increase in demand for project management solutions that can handle complex tasks. As a result, the adoption of AI in project management is on the rise in the region. Advancements in AI technology, including cloud computing platforms and AI-as-a-service solutions, have made it more accessible and affordable for businesses in the APAC region to integrate AI into their project management processes. Additionally, several governments in the region are investing in AI research and development, promoting the adoption of AI in businesses, and identifying AI as a strategic priority. Businesses are also adopting AI in project management to gain a competitive advantage by improving efficiency, reducing costs, and delivering projects faster. In summary, the APAC region is poised for significant growth in AI in project management market, driven by various factors, including economic growth, technological advancements, government initiatives, and the desire for a competitive edge.
Impact of the banking sector on the global AI in Project Management Market:
The banking sector has a significant impact on the growth of AI in project management market, as it is one of the key industries that heavily relies on project management to streamline their operations and improve customer experience. The recent SVB fall had a direct impact on cross-border SaaS firms and YC portfolio startups due to their exposure to the bank. However, some examples of how the banking sector can leveraging AI in project management includes:
• Fraud Detection: The banking sector is using AI-powered project management tools to detect and prevent fraud. These tools use machine learning algorithms to analyze data from various sources such as customer transactions, credit card usage, and ATM withdrawals to identify unusual patterns and flag potential fraudulent activities.
• Risk Management: Banks are using AI-based project management tools to manage risks associated with their operations. These tools use predictive analytics to analyze historical data and identify potential risks that could affect the bank's profitability and reputation.
• Customer Service: AI-based chatbots are being used by banks to provide instant customer service and support. These chatbots can handle routine customer queries and redirect complex issues to human customer service representatives, thereby improving response times and customer satisfaction.
• Loan Processing: Banks are using AI-based project management tools to automate the loan processing workflow. These tools can analyze customer data, credit scores, and other financial indicators to determine creditworthiness, making the loan processing faster and more efficient.
This trend is expected to continue as banks seek to improve their efficiency and customer experience while mitigating risks associated with their operations. As a result, AI in Project Management Market is expected to grow significantly in the coming years.
Company Profiles:
• IBM Corporation
• Microsoft Corporation
• Oracle Corporation
• SAP SE
• Google LLC
• Workfront Inc.
• Planview Inc.
• Clarizen Inc.
• Deltek, Inc.
• Scoro Software
• ProjectManager.com
• Asana Inc.
• Zoho Corporation Pvt. Ltd.
• Basecamp
• Wrike, Inc.

Why to buy this Report?
Market research: The report provides valuable insights into market trends, growth opportunities, and competitive landscapes. By reading a technology report, businesses and investors can gain a better understanding of AI in Project Management Market they are operating in or considering entering, and make more informed decisions based on data and analysis.
Competitive analysis: The report reports provide detailed information on competitors' strengths, weaknesses, and strategies, which can help businesses identify potential threats and opportunities in AI in Project Management Market.
Innovation: The report provides insights into emerging technologies and trends, which can help businesses stay up-to-date with the latest developments and make informed decisions about where to invest their resources.
Due diligence: The report can be used by investors and acquirers as part of their due diligence process when considering investing in or acquiring a technology company. These reports can provide valuable information on the company's financials, technology, market position, and other key factors.
Base Year: 2023
Historic Year: 2016-2022
Forecast: 2024-2035

Quality Assurance Process

  1. We Market Research’s Quality Assurance program strives to deliver superior value to our clients.

We Market Research senior executive is assigned to each consulting engagement and works closely with the project team to deliver as per the clients expectations.

Market Research Process




We Market Research monitors 3 important attributes during the QA process- Cost, Schedule & Quality. We believe them as a critical benchmark in achieving a project’s success.

To mitigate risks that can impact project success, we deploy the follow project delivery best practices:
  • Project kickoff meeting with client
  • Conduct frequent client communications
  • Form project steering committee
  • Assign a senior SR executive as QA Executive
  • Conduct internal editorial & quality reviews of project deliverables
  • Certify project staff in SR methodologies & standards
  • Monitor client satisfaction
  • Monitor realized value post-project

Case Study- Automotive Sector

One of the key manufacturers of automotive had plans to invest in electric utility vehicles. The electric cars and associated markets being a of evolving nature, the automotive client approached Straits Research for a detailed insight on the market forecasts. The client specifically asked for competitive analysis, regulatory framework, regional prospects studied under the influence of drivers, challenges, opportunities, and pricing in terms of revenue and sales (million units).

Solution

The overall study was executed in three stages, intending to help the client meet its objective of precisely understanding the entire market before deciding on an investment. At first, secondary research was conducted considering political, economic, social, and technological parameters to get a gist of the various aspects of the market. This stage of the study concluded with the derivation of drivers, opportunities, and challenges. It also laid substantial emphasis on understanding and collecting data not only on a global scale but also on the regional and country levels. Data Extraction through Primary Research

The second stage involved primary research in which several market players and automotive parts suppliers were contacted to study their viewpoint concerning the development of their market and production capacity, clientele, and product line. This stage concluded in a brief understanding of the competitive ecosystem and also glanced through the strategies and pricing of the companies profiled.

Market Estimates and Forecast

In the final stage of the study, market forecasts for the electric utility were derived using multiple market engineering approaches. This data helped the client to get an overview of the market and accelerate the process of investment.

Case Study- ICT Sector

Business process outsourcing, being one of the lucrative markets from both supply- and demand- side, has appealed to various companies. One of the prominent corporations based out of Japan approached us with their requirements regarding the scope of the procurement outsourcing market for around 50 countries. Additionally, the client also sought key players operating in the market and their revenue breakdown in terms of region and application.


Business Solution

An exhaustive market study was conducted based on primary and secondary research that involved factors such as labor costs in various countries, skilled and technical labors, manufacturing scenario, and their respective contributions in the global GDP. A comparative study of the market was conducted from both supply- and demand side, with the supply-side comprising of notable companies, such as GEP, Accenture, and others, that provide these services. On the other hand, large manufacturing companies from them demand-side were considered that opt for these services.


Conclusion

The report aided the client in understanding the market trends, including country-level business scenarios, consumer behavior, and trends in 50 countries. The report also provided financial insights of crucial players and detailed market estimations and forecasts till 2028.

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