Productivity Management Software Market (By Solution: Content Management & Collaboration, AI & Predictive Analytics, Structured Work Management, Other Solutions; By Deployment: On-Premise, Cloud; By Enterprise Size: Large Enterprises, Small & Mid-Size Enterprises) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032

The global productivity management software market size was exhibited at USD 54.85 billion in 2022 and is projected to hit around USD 203.88 billion by 2032, growing at a CAGR of 14.03% during the forecast period 2023 to 2032.

Key Pointers:

  • North America generated more than 36.9% of the revenue share in 2022.
  • Asia Pacific is expected to expand at the largest CAGR of 15.51% between 2023 and 2032.
  • By Solution, the content management and teamwork segment generated more than 36.7% of revenue share in 2022.
  • By Solution, artificial intelligence and predictive analytics is expected to grow at a remarkable CAGR of 151% between 2023 and 2032.
  • By Deployment, the cloud-based PMS segment recorded more than 56.4% of revenue share in 2022.
  • By Deployment, the on-premise segment is expected to expand at a notable CAGR 6.9% between 2023 and 2032.
  • By Enterprise Size, the SMEs segment is predicted to grow at the fastest CAGR of 18.3% between 2023 and 2032.

Productivity Management Software Market Report Scope

Report Coverage

Details

Market Size in 2023

USD 62.55 Billion

Market Size by 2032

USD 203.88 Billion

Growth Rate From 2023 to 2032

CAGR of 14.03%

Base Year

2022

Forecast Period

2023 to 2032

Segments Covered

By Solution, By Deployment, and By Enterprise Size

Market Analysis (Terms Used)

Value (US$ Million/Billion) or (Volume/Units)

Regional Scope

North America; Europe; Asia Pacific; Central and South America; the Middle East and Africa

Key Companies Profiled

Salesforce, Oracle, Microsoft, Google, Adobe, Asana, Trello, Basecamp, Toggl, Harvest, Evernote, IBM, OneNote, Slack, Microsoft Teams, Monday.com, Podio, ClickUp, Wrike, Zoho Projects, Smartshee, and Others.

 

The growing requirement to manage tasks and workflow among the business to amplify the growth and swiftly growing advancements in Machine Learning (ML) and Artificial Intelligence (AI) are the key factors driving the market. Furthermore, the growing adoption of cloud computing in the business processes and the increasing adoption of enterprise mobility, smartphones, and Bring Your Own Device (BYOD) to expand the mobile workforce will surge the demand for productivity management software, contributing to the growth of the market.

Organizations have been looking for new ways to boost productivity. New approaches and technology have helped deliver products and services more efficiently and effectively than in the past few years. Productivity growth is critical for companies because delivering more products and services to customers results in high income. When productivity rises, an organization's capital can be converted into sales, allowing it to compensate stakeholders while still preserving cash flow for potential development and expansion.

Higher productivity also assists in gaining a competitive advantage over the competitors. Companies are keener to reduce their operational expenses to gain hefty profits, and improved productivity helps them achieve their profitability goals. Organizations are currently looking towards investing in technology-oriented solutions such as productivity management software (PMS) that would offer them centralized productivity management solutions to improve the working environment and reduce costs.

Operational efficiency is mainly a metric that assesses a company's profitability as a function of its operating costs. The more profitable a company or investment is, the more efficient its operations are. The comparison of productivity and operational efficiencies can also provide a look at the economies of scale. Entities strive to achieve productive economies of scale to lower per-unit costs and boost per-unit returns. Executives are concerned with increasing performance, which is a focus of many technology initiatives and implementations.

Efficiency, small business sales, internal processes, procurement, pricing, and business principles are considered transparent business practices. Increased transparency in the business also helps improve the overall operational efficiency of the organizations for which the employees' productivity is a key parameter. Adopting technology-based solutions could help organizations overcome problems associated with operational efficiency and transparency, thus offering greater returns in terms of revenues. Hence, these factors could assist the growth of the market in the forthcoming years.

The COVID-19 pandemic impacted the workflow and team communication in businesses of different sizes. Increasing acceptance of work from home policies by organizations worldwide and the necessity to manage workforces remotely has augmented the requirement for remote work management. Due to remote work management, the need for digitization has grown enormously. PMS has been critical in permitting businesses and workers to achieve workflow continuity. Collaboration software from Zoom, Slack, Cisco Webex, and Microsoft Teams collaboration technology have proved to be particularly helpful for businesses to improve productivity and maintain workflow.

Some of the prominent players in the Productivity Management Software Market include:

  • Salesforce
  • Oracle
  • Microsoft
  • Google
  • Adobe
  • Asana
  • Trello
  • Basecamp
  • Toggl
  • Harvest
  • Evernote
  • IBM
  • OneNote
  • Slack
  • Microsoft Teams
  • Monday.com
  • Podio
  • ClickUp
  • Wrike
  • Zoho Projects
  • Smartshee 

Segments Covered in the Report

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2032. For this study, Nova one advisor, Inc. has segmented the global Productivity Management Software market.

By Solution

  • Content Management & Collaboration
  • AI & Predictive Analytics
  • Structured Work Management
  • Other Solutions

By Deployment

  • On-Premise
  • Cloud

By Enterprise Size

  • Large Enterprises
  • Small & Mid-Size Enterprises

By Region

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East & Africa (MEA)

Frequently Asked Questions

The global productivity management software market size was exhibited at USD 54.85 billion in 2022 and is projected to hit around USD 203.88 billion by 2032

The global productivity management software market will register growth rate of 14.03% between 2023 and 2032.

The major players operating in the productivity management software market are Salesforce, Oracle, Microsoft, Google, Adobe, Asana, Trello, Basecamp, Toggl, Harvest, Evernote, IBM, OneNote, Slack, Microsoft Teams, Monday.com, Podio, ClickUp, Wrike, Zoho Projects, Smartshee, and Others.

North America region will lead the global productivity management software market during the forecast period 2023 to 2032.

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Productivity Management Software Market 

5.1. COVID-19 Landscape: Productivity Management Software Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Productivity Management Software Market, By Solution

8.1. Productivity Management Software Market, by Solution, 2023-2032

8.1.1 Content Management & Collaboration

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. AI & Predictive Analytics

8.1.2.1. Market Revenue and Forecast (2020-2032)

8.1.3. Structured Work Management

8.1.3.1. Market Revenue and Forecast (2020-2032)

8.1.4. Other Solutions

8.1.4.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Productivity Management Software Market, By Deployment

9.1. Productivity Management Software Market, by Deployment, 2023-2032

9.1.1. On-Premise

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Cloud

9.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Productivity Management Software Market, By Enterprise Size 

10.1. Productivity Management Software Market, by Enterprise Size, 2023-2032

10.1.1. Large Enterprises

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Small & Mid-Size Enterprises

10.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Productivity Management Software Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Solution (2020-2032)

11.1.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.1.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Solution (2020-2032)

11.1.4.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.1.4.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Solution (2020-2032)

11.1.5.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.1.5.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.2. Europe

11.2.1. Market Revenue and Forecast, by Solution (2020-2032)

11.2.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.2.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Solution (2020-2032)

11.2.4.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.2.4.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Solution (2020-2032)

11.2.5.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.2.5.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Solution (2020-2032)

11.2.6.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.2.6.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Solution (2020-2032)

11.2.7.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.2.7.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.3. APAC

11.3.1. Market Revenue and Forecast, by Solution (2020-2032)

11.3.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.3.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Solution (2020-2032)

11.3.4.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.3.4.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Solution (2020-2032)

11.3.5.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.3.5.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Solution (2020-2032)

11.3.6.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.3.6.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Solution (2020-2032)

11.3.7.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.3.7.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.4. MEA

11.4.1. Market Revenue and Forecast, by Solution (2020-2032)

11.4.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.4.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Solution (2020-2032)

11.4.4.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.4.4.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Solution (2020-2032)

11.4.5.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.4.5.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Solution (2020-2032)

11.4.6.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.4.6.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Solution (2020-2032)

11.4.7.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.4.7.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Solution (2020-2032)

11.5.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.5.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Solution (2020-2032)

11.5.4.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.5.4.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Solution (2020-2032)

11.5.5.2. Market Revenue and Forecast, by Deployment (2020-2032)

11.5.5.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

Chapter 12. Company Profiles

12.1. Salesforce

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. Oracle

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. Microsoft

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. Google

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. Adobe

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Asana

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Trello

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. Basecamp

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. Toggl

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. Harvest

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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