Learning Management Systems Market (By Component: Solution, Services; By Deployment: Cloud, On-premises; By Enterprise: Small & Medium Enterprise, Large Enterprises; By Delivery Mode: Distance Learning, Instructor-led Training, Blended Learning; By End-user: Academic, Corporate, Banking, Financial Services, And Insurance, IT And Telecommunication, Retail, Manufacturing, Government & Defense, Others) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032

The global learning management systems market size was exhibited at USD 18.09 billion in 2022 and is projected to hit around USD 112.48 billion by 2032, growing at a CAGR of  20.05% during the forecast period 2023 to 2032.

Key Pointers:

  • North America has generated more than 41% of revenue share in 2022.
  • By Delivery Mode, the distant learning segment has contributed more than 41% of revenue share in 2022.
  • By Component, the solution segment held a market maximum market share in 2022.
  • By Deployment, the on-premises segment led the global market in 2022.
  • By Enterprise, the large enterprise size segment global market in 2022.
  • By End-user, the academic segment dominated the global market in 2022.

Learning Management Systems Market Report Scope

Report Coverage

Details

Market Size in 2023

USD 21.72 Billion

Market Size by 2032

USD 112.48 Billion

Growth Rate From 2023 to 2032

CAGR of 20.05%

Base Year

2022

Forecast Period

2023 to 2032

Segments Covered

By Component, By Deployment, By Enterprise, By Delivery Mode, and By End-user

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

Cornerstone, Blackboard Inc., D2L Corporation, PowerSchool, Instructure, Inc., Adobe, Oracle, SAP, Moodle, McGraw Hill, Xerox Corporation, and Others.

 

Due to the ongoing recession, the worsening economic condition in Europe is likely to slow down the demand for PCs and laptops. Technologies such as software solutions are also expected to be impacted by the recession. According to the Bank of England, inflation in the UK is expected to reach a peak of over 13% and can stay above 10% in 2023. Consumer IT spending in Asia Pacific is also declining with the ongoing tight market conditions in the US and Europe. However, enterprise IT spending is expected to remain stable as organizations focus on IT security and digital transformation in the short run.

Recession Impact: Learning Management System Market

The War in Ukraine, higher inflation, bad financial conditions, economic decelerations of key trading partners, and social discontent is slowing the growth prospects. The war in Ukraine is shaking the global economy and raising uncertainty about the outlook for Latin America and the Caribbean. The impact is felt in Latin America through higher inflation that is affecting real incomes, especially for the most vulnerable. The policymakers are reacting to this difficulty by tightening the monetary policy and implementing measures to soften the blow on the most susceptible and contain the risks of social unrest. As per The Harris Poll, 62% of Canadian organizations are confident that they can survive the upcoming recession. This is because many large capital projects were delayed due to the pandemic that have secured funding and will proceed as planned, even if there is a slowdown. Despite the uncertainty, some industry researchers and individual companies continue to forecast growth. For instance, Capgemini boosted its revenue growth objective for 2022 to 14% to 15% versus its previous forecast of 8% to 10%. Higher global and domestic financing costs can accelerate capital outflows and represent a challenge for the region, given large public and external financing needs in some countries and the limited resources to finance investments in the region. Even before the war, various regions’ recovery from the pandemic was losing momentum. After a sharp rebound last year, growth is returning to its pre-pandemic trend rate as policies shift, slowing to 2.5% for 2022. Exports and investment are resuming their role as main growth drivers, but central banks have had to tighten the monetary policy to combat an increase in inflation. As per the IMF, Gulf countries have strengthened their reform programs, which has supported increasing their sources of revenues and will assist them in facing the global recession. As per the report by the Central Bank of the United Arab Emirates, the UAE GDP is to grow by 5.6% and 4.3% in 2022 and 2023. This growth will be driven by higher oil production, with the growth of the manufacturing sector by 2032. Specifically, in the education industry, the threat of recession is resulting in a hike in tuition fees due to this student loan debt piling up. Even if colleges or universities have chosen not to increase fees, the qualitative costs of higher education will still be higher. The spiking inflation may lead to employers lowering salaries or reducing their staff nationwide. Students depending on their parents to repay loans or fund their education may struggle due to income cuts.

Learning Management System Market Dynamics

Drivers: Enterprises focusing more on human capital development

Training and development are important parts of workforce development and organizational growth & effective employee learning and development positively impact employee performance and organizational competitiveness. Training enables employees to develop a positive attitude toward learning and improving proficiency, which results in enhanced productivity and competitiveness in the workplace and the organization. It involves content development, method of delivery, and integration of technology. LMS helps enterprises prepare practical training modules for employees to understand and grasp the information. Employees can access the modules at any time, which helps employees be more productive and deliver value to the company.

Restraints: Reluctance of enterprises to convert existing training content into microcontent

Many organizations rely on full-fledged training and development programs and already have detailed training and development content, which is difficult to convert into microcontent. Globally, organizations do not invest a significant amount in transforming their existing training content into microcontent due to its tediousness and costliness. It becomes quite difficult for an organization to organize and manage content into the micro-framework and the organization might need require building training content from scratch to implement microlearning-based training, which can be expensive.

Opportunities: Incorporation of advanced technologies for a better training environment

The LMS vendors are constantly trying to implement modern technologies to improve their offerings due to the increasing adoption of LMS solutions. LMS solutions enable educators to adapt to reducing attention spans, with more visuals and less text, more engaging themes and expressions, emphasis on immersive virtual learning, and, eventually, gamification to captivate learners. Artificial Intelligence (AI) can be implemented to create an AI-based mentor who can help understand concepts, suggest courses, and provide feedback to improve student performance. Other technologies. The technologies such as AI, data analysis, helps user to provide tailored courses for them to provide a personalized learning experience and also enable learners to acquire knowledge in the way that suits them best technologies help improve student performance, provide personalized programs, and reduce dropouts.

Challenges: Lack of LMS solutions with multi-language support

Language can be a barrier for students whose first language is not English. According to a study by Pearson in 2015, around 75% of the world’s population does not speak English at all. In cases such as this, LMS vendors need to provide multiple-language support for different regions. Limited vocabulary and language skills might become a hurdle for some students to  actively participate in class, socialize with peers, and learning to their full potential. Thus, LMS vendors need to overcome this challenge to help put students at ease and empower them to have an efficient learning experience.

Some of the prominent players in the Learning Management Systems Market include:

  • Cornerstone
  • Blackboard Inc.
  • D2L Corporation
  • PowerSchool
  • Instructure, Inc.
  • Adobe
  • Oracle
  • SAP
  • Moodle
  • McGraw Hill
  • Xerox Corporation

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 Learning Management Systems market.

By Component

  • Solution
  • Services

By Deployment

  • Cloud
  • On-premises

By Enterprise

  • Small & Medium Enterprise
  • Large Enterprises

By Delivery Mode

  • Distance Learning
  • Instructor-led Training
  • Blended Learning

By End-User

  • Academic
  • K-12
  • Higher Education
  • Corporate
  • Healthcare
  • Banking, Financial Services, And Insurance (BFSI)
  • IT And Telecommunication
  • Retail
  • Manufacturing
  • Government & Defense
  • Others

By Region

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

Frequently Asked Questions

The global learning management systems market size was exhibited at USD 18.09 billion in 2022 and is projected to hit around USD 112.48 billion by 2032

The global learning management systems market will register growth rate of 20.05% between 2023 and 2032.

The major players operating in the learning management systems market are Cornerstone, Blackboard Inc., D2L Corporation, PowerSchool, Instructure, Inc., Adobe, Oracle, SAP, Moodle, McGraw Hill, Xerox Corporation, and Others.

North America region will lead the global learning management systems 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 Learning Management Systems Market 

5.1. COVID-19 Landscape: Learning Management Systems 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 Learning Management Systems Market, By Component

8.1. Learning Management Systems Market, by Component, 2023-2032

8.1.1. Solution

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Services

8.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Learning Management Systems Market, By Deployment

9.1. Learning Management Systems Market, by Deployment, 2023-2032

9.1.1. Cloud

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. On-premises

9.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Learning Management Systems Market, By Enterprise 

10.1. Learning Management Systems Market, by Enterprise, 2023-2032

10.1.1. Small & Medium Enterprise

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Large Enterprises

10.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Learning Management Systems Market, By Delivery Mode

11.1. Learning Management Systems Market, by Delivery Mode, 2023-2032

11.1.1. Distance Learning

11.1.1.1. Market Revenue and Forecast (2020-2032)

11.1.2. Instructor-led Training

11.1.2.1. Market Revenue and Forecast (2020-2032)

11.1.3. Blended Learning

11.1.3.1. Market Revenue and Forecast (2020-2032)

Chapter 12. Global Learning Management Systems Market, By End-User

12.1. Learning Management Systems Market, by End-User, 2023-2032

12.1.1. Academic

12.1.1.1. Market Revenue and Forecast (2020-2032)

12.1.2. K-12

12.1.2.1. Market Revenue and Forecast (2020-2032)

12.1.3. Higher Education

12.1.3.1. Market Revenue and Forecast (2020-2032)

12.1.4. Corporate

12.1.4.1. Market Revenue and Forecast (2020-2032)

12.1.5. Healthcare

12.1.5.1. Market Revenue and Forecast (2020-2032)

12.1.6. Banking, Financial Services, And Insurance (BFSI)

12.1.6.1. Market Revenue and Forecast (2020-2032)

12.1.7. IT And Telecommunication

12.1.7.1. Market Revenue and Forecast (2020-2032)

12.1.8. Retail

12.1.8.1. Market Revenue and Forecast (2020-2032)

12.1.9. Manufacturing

12.1.9.1. Market Revenue and Forecast (2020-2032)

12.1.10. Government & Defense

12.1.10.1. Market Revenue and Forecast (2020-2032)

12.1.11. Others

12.1.11.1. Market Revenue and Forecast (2020-2032)

Chapter 13. Global Learning Management Systems Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.1.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.1.5. Market Revenue and Forecast, by End-User (2020-2032)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.1.6.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.1.6.5. Market Revenue and Forecast, by End-User (2020-2032) 

13.1.7. Rest of North America

13.1.7.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.1.7.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.1.7.5. Market Revenue and Forecast, by End-User (2020-2032)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.2.4. Market Revenue and Forecast, by Delivery Mode (2020-2032) 

13.2.5. Market Revenue and Forecast, by End-User (2020-2032) 

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.2.7. Market Revenue and Forecast, by Delivery Mode (2020-2032) 

13.2.8. Market Revenue and Forecast, by End-User (2020-2032) 

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.2.10. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.2.11. Market Revenue and Forecast, by End-User (2020-2032)

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.2.12.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.2.13. Market Revenue and Forecast, by End-User (2020-2032)

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.2.14.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.2.15. Market Revenue and Forecast, by End-User (2020-2032)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.3.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.3.5. Market Revenue and Forecast, by End-User (2020-2032)

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.3.6.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.3.7. Market Revenue and Forecast, by End-User (2020-2032)

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.3.8.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.3.9. Market Revenue and Forecast, by End-User (2020-2032)

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.3.10.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.3.10.5. Market Revenue and Forecast, by End-User (2020-2032)

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.3.11.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.3.11.5. Market Revenue and Forecast, by End-User (2020-2032)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.4.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.4.5. Market Revenue and Forecast, by End-User (2020-2032)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.4.6.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.4.7. Market Revenue and Forecast, by End-User (2020-2032)

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.4.8.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.4.9. Market Revenue and Forecast, by End-User (2020-2032)

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.4.10.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.4.10.5. Market Revenue and Forecast, by End-User (2020-2032)

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.4.11.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.4.11.5. Market Revenue and Forecast, by End-User (2020-2032)

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.5.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.5.5. Market Revenue and Forecast, by End-User (2020-2032)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.5.6.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.5.7. Market Revenue and Forecast, by End-User (2020-2032)

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Component (2020-2032)

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

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

13.5.8.4. Market Revenue and Forecast, by Delivery Mode (2020-2032)

13.5.8.5. Market Revenue and Forecast, by End-User (2020-2032)

Chapter 14. Company Profiles

14.1. Cornerstone

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. Blackboard Inc.

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. D2L Corporation

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. PowerSchool

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Instructure, Inc.

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. Adobe

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. Oracle

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. SAP

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. Moodle

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. McGraw Hill

14.10.1. Company Overview

14.10.2. Product Offerings

14.10.3. Financial Performance

14.10.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

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