The global productivity management software market size is expected to reach USD 162.47 billion by 2032, according to a new study by Polaris Market Research. The report “Productivity Management Software (PMS) Market Share, Size, Trends, Industry Analysis Report, By Solution (Content Management & Collaboration, AI & Predictive Analytics), By Deployment, By Application, By Region, And Segment Forecasts, 2024 - 2032” gives a detailed insight into current market dynamics and provides analysis on future market growth.
Enterprises are progressively embracing cloud-based technology, with an increasing number opting for cloud-based management tools to store applications and data. These cloud-based productivity management systems streamline the planning, collaboration, monitoring, and completion of projects. Instead of relying on traditional tools like whiteboards and sticky notes, project managers leverage a network of tools within the software, and the implementation of PMS varies based on the organization and team. The primary objective is to simplify and enhance project and deadline management, making processes more efficient. Additionally, cloud-based productivity management systems are not only cost-effective but also demand minimal maintenance.
These solutions exhibit variability based on parameters such as employee strength, organizational structure, and the specific departments where these solutions are implemented. Software providers are actively concentrating on adapting to evolving technological trends and improving their software designs to align with the changing requirements of organizations. Many companies are dedicating resources to research and development activities, aiming to deliver productivity management software solutions that are easy to deploy, comprehend, and contribute to increased workplace productivity.
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Companies in the market are introducing innovative products and services. Recently, in December 2023, Intermedia introduced its generative AI assistant for the Unite communications and collaboration platform, aiming to elevate business productivity. The launch of Intermedia Unite AI Assistant represents a substantial advancement in ensuring AI is accessible and secure and becomes an integral part of the workplace. Similarly, in February 2022, Pendo.io, Inc. unveiled Pendo Adopt, a comprehensive suite of products crafted to improve companies' insights into employee software usage within the workplace, empowering them to implement measures that enhance employee productivity.
Dynamic market and seasonal fluctuations are prompting more employers to rely on contingent workers. Predictions indicate that by 2025, contingent workers will constitute approximately 35% to 40% of the global workforce. Leveraging these temporary workers enables organizations to adjust their workforce size in response to current production demands, allowing for flexible scaling up or down as needed.
Productivity Management Software Market Report Highlights
Polaris Market Research has segmented the productivity management software market report based on solution, deployment, application, and region:
Productivity Management Software, Solution Outlook (Revenue - USD Billion, 2019 - 2032)
Productivity Management Software, Deployment Outlook (Revenue - USD Billion, 2019 - 2032)
Productivity Management Software, Application Outlook (Revenue - USD Billion, 2019 - 2032)
Productivity Management Software, Regional Outlook (Revenue - USD Billion, 2019 - 2032)
Report Attributes |
Details |
Market size value in 2024 |
USD 59.41 billion |
Revenue forecast in 2032 |
USD 162.47 billion |
CAGR |
13.4% from 2024 – 2032 |
Base year |
2023 |
Historical data |
2019 – 2022 |
Forecast period |
2024 – 2032 |
Quantitative units |
Revenue in USD million/billion and CAGR from 2024 to 2032 |
Segments covered |
By Solution, By Deployment, By Application, By Region |
Regional scope |
North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
Customization |
Report customization as per your requirements with respect to countries, region, and segmentation. |
For Specific Research Requirements |