The global academic scheduling software market was valued at USD 8.5 Billion in 2021. It is likely to register a Y-o-Y of 15.0% to be valued at USD 9.8 Billion in 2022. The remarkable growth can be credited to the growing support from various governmental organizations, the market is likely to propel to USD 35.2 Billion by 2032. The trade is projected at a 13.7% CAGR during the projected timeframe.
Growing internet usage, availability of mobile learning applications, and implementation of latest technologies is expected to boost the market growth over the forecast period.
| Attributes | Details |
|---|---|
| Global Academic Scheduling Software Market CAGR (2022 to 2032) | 13.7% |
| Global Academic Scheduling Software Market (2032) | USD 35.2 Billion |
| Global Academic Scheduling Software Market Attraction | Technological advancements in the educational sector across the globe are expected to drive the market in the forecast period. |
Don't pay for what you don't need
Customize your report by selecting specific countries or regions and save 30%!
Digitalization to boost the growth academic scheduling software market in the coming years.
The rising adoption of smartphones and internet penetration, the need to optimize performance by saving time, and growth in the need to reduce administration are the major factors that drive the growth of the global academic scheduling software market.
In addition, the adoption of artificial intelligence and natural language processing integration in academic scheduling software is anticipated to offer significant opportunities in the market. The adoption of academic scheduling software is highest in schools. Large and small organizations are anticipated to gain benefits from academic scheduling as it is becoming more popular.
Rising development in scheduling software and the addition of new features will grow the demand and are anticipated to foster the market growth on a large-scale in near future. For instance, Internet penetration has accounted for 63% of the world’s total population and is projected to grow extensively during the forecast period, which is expected to drive this market prominently.
High costs related to academic scheduling software technology compared to the other low-cost alternatives may impede the growth of the market in the coming years. Cloud-based or web-based academic scheduling software is usually expensive compared to manual systems.
Consequently, small enterprises are facing problems in adopting the software successfully. However, software companies are currently focusing on providing user-based customized software that is expected to help reduce the cost of cloud-based or web-based academic scheduling software in the future.
Further, availability of limited customization option and lack of technical knowledge is added key factor that may affect industry expansion in the near future. Addition to this, shortage of human resources is key challenge that can restrict the market growth.
Principal Consultant
Academic scheduling software are powered by automation and AI technologies which makes them better solution to improve efficacy and restructuring the scheduling process as compared to traditional scheduling methods, supporting the market growth. These modern technologies equipped software are likely to create growth opportunities for the academic scheduling software market from 2022-2032.
Global academic scheduling software market is expanding due to increasing implementation in various educational institutes such as universities, colleges, and schools. The demand for academic scheduling software is being driven considerably by the fast digitalization and expanding number of internet users. Moreover, growing number of academic scheduling and hosted services providers is expected to rise notably over the forecast period.
As per the analysis, the cloud-based software is anticipated to hold remunerative opportunities for the global Academic scheduling software market. Various developing countries are making significant developments in their budgets, thereby, offering lucrative opportunities to players in the market.
In deployment, cloud-based segment is estimated to acquire substantial market share through 2032. This segment is expected to register a notable CAGR of 13.6% from 2022 to 2032. The segment is witnessed a CAGR of 14.8% during the timeframe of 2015-2021.
The rising incorporation of cloud-based solutions has transformed the way of academic scheduling used in educational institutes. Various small & medium-sized institutions emphasize on cloud solutions to cut their operational costs and improve effectiveness in academic scheduling.
Cloud-based academic scheduling software will help you manage all the different aspects of your academic schedule like a class schedule for your college or university also one can set a special meeting for a particular subject and it allows you to keep track of all your information in one place. For example, it lets you assign a class to each student, as well as their schedules for each subject.
You can also copy your schedule to other weeks and edit it as needed. These benefits will help you to stay organized and maximize your time Therefore, the rapid adoption of cloud-based academic scheduling software in educational organizations is positively impacting the growth of the market worldwide. On the other hand, the web-based segment is expected to record significant growth due to its limited flexibility.
As per the analysis, by end-user industry, the school’s segment is expected to lead the market during the forecast period. The segment is anticipated to have witnessed a 15.0% CAGR from 2015 to 2021. Whereas, during the forecast period, the segment is estimated at a 13.7% CAGR. Academic scheduling software solutions are rapidly being implemented across schools worldwide to manage their operations.
The rising usage of mobile devices such as tablets, mobile, & laptops and improvement in networking solutions including broadband and Wi-Fi create notable market demand. The rising application of academic scheduling software in education institutes and universities segment is expected to gain significant revenue growth over the forecasted period.
Get the data you need at a Fraction of the cost
Personalize your report by choosing insights you need
and save 40%!
North America is expected to gain higher market share the global academic scheduling software market by 2032. The market is likely to reach USD 12.6 Billion at CAGR of 13.4% from 2022 to 2032. The remarkable industry augment in the region is due to growing demand for academic scheduling solutions & services equipped with emerging technologies such as artificial intelligence, cloud computing, and machine learning.
Moreover, shifting various end-use companies’ preference towards cloud-based academic scheduling software owing to its scalability and flexibility. Further, the demand for academic scheduling software in Latin America and Middle East & Africa is expected to grow at a moderate speed led by increasing investment in education sector.
Europe holds for a noteworthy share of the global academic scheduling software market. Complex scheduling requirements by schools, and notable digitization in education sector in Europe is contributing to the academic scheduling software market expansion.
Asia Pacific region is anticipated to be expand at considerable pace from 2022 to 2032. China is likely to contribute majorly in the development of the market. China is estimated at USD 2.5 Billion, expanding at a 13.0% CAGR during the forecast period. Further, supportive government initiatives for education sector in other countries like Japan, India, and South Korea will further boost the market growth.
Growing demand for advanced technology products and penetration of global players in the region and increasing strategic partnerships and investments by players operating in the region are expected to fuel demand for the academic scheduling software market. Also, increasing technology providers offering ERP-based solutions for universities, public & private schools, and management schools positively impact the market growth.
Further, Japan is identified as another key player in the Asia Pacific region. As per analysis, the country is expected to register a CAGR of 12.0% from 2022 to 2032 and reach at USD 2.1 Billion. The progress of the country in market is due to shifting focus of educational institutions on data-driven decision making and enhance student experience.
The South Korea & UK are estimated to be valued at USD 1.3 Billion and USD 1.4 Billion respectively. The growth rate of South Korea is estimated to be 11.4% whereas of UK is 12.3% from 2022 to 2032.
| Countries | Estimated CAGR |
|---|---|
| USA | 13.4% |
| UK | 12.3% |
| China | 13.0% |
| Japan | 12.0% |
| South Korea | 11.4% |
Eminent players in the global academic scheduling software market include ASIMUT Software APS, CollegeNET, Drivers Ed Solutions, EMS Software, and FORADIAN Technologies among others. Recent key developments among players include:
The global academic scheduling software market is likely to value USD 8.5 Billion in 2021.
The global academic scheduling software market is estimated to grow at a CAGR of 13.7% from 2022 to 2032.
The global academic scheduling software market is predicted to procure USD 35.2 Billion from 2022 to 2032.
The Deployment segment is projected to expand at a 13.6% CAGR during the forecast period.
The end-user segment is likely to exhibit a 13.7% CAGR from 2022-2032.
The USA market is expected to garner USD 12.6 Billion while expanding at a 13.4% CAGR from 2022 to 2032
1. Executive Summary
1.1. Global Market Outlook
1.2. Summary of Statistics
1.3. Key Market Characteristics & Attributes
1.4. FMI Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Risks and Trends Assessment
3.1. Risk Assessment
3.1.1. COVID-19 Crisis and Impact on Academic Scheduling Software Demand
3.1.2. COVID-19 Impact Benchmark with Previous Crisis
3.1.3. Impact on Market Value (US$ Mn)
3.1.4. Assessment by Key Countries
3.1.5. Assessment by Key Market Segments
3.1.6. Action Points and Recommendation for Suppliers
3.2. Key Trends Impacting the Market
3.3. Formulation and Product Development Trends
4. Market Background and Foundation Data Points
4.1. Global Protective Coatings Market (US$ Mn)
4.2. Academic Scheduling Software Market Opportunity Assessment (US$ Mn)
4.2.1. Total Available Market
4.2.2. Serviceable Addressable Market
4.2.3. Serviceable Obtainable Market
4.3. Market Scenario Forecast
4.3.1. Demand in optimistic Scenario
4.3.2. Demand in Likely Scenario
4.3.3. Demand in Conservative Scenario
4.4. Investment Feasibility Analysis
4.4.1. Investment in Established Markets
4.4.1.1. In Short Term
4.4.1.2. In Long Term
4.4.2. Investment in Emerging Markets
4.4.2.1. In Short Term
4.4.2.2. In Long Term
4.5. Forecast Factors - Relevance & Impact
4.5.1. Top Companies Historical Growth
4.5.2. Global Protective Coatings Market Growth
4.5.3. Academic Scheduling Software Adoption Rate, By Country
4.6. Market Dynamics
4.6.1. Market Driving Factors and Impact Assessment
4.6.2. Prominent Market Challenges and Impact Assessment
4.6.3. Academic Scheduling Software Market Opportunities
4.6.4. Prominent Trends in the Global Market & Their Impact Assessment
5. Key Success Factors
5.1. Manufacturers’ Focus on Low Penetration High Growth Markets
5.2. Banking on with Segments High Incremental Opportunity
5.3. Peer Benchmarking
6. Global Academic Scheduling Software Market Demand Analysis 2015-2021 and Forecast, 2022-2032
6.1. Historical Market Analysis, 2015-2021
6.2. Current and Future Market Projections, 2022-2032
6.3. Y-o-Y Growth Trend Analysis
7. Global Academic Scheduling Software Market Value Analysis 2015-2021 and Forecast, 2022-2032
7.1. Historical Market Value (US$ Mn) Analysis, 2015-2021
7.2. Current and Future Market Value (US$ Mn) Projections, 2022-2032
7.2.1. Y-o-Y Growth Trend Analysis
7.2.2. Absolute $ Opportunity Analysis
8. Global Academic Scheduling Software Market Analysis 2015-2021 and Forecast 2022-2032, By Deployment
8.1. Introduction / Key Findings
8.2. Historical Market Size (US$ Mn) Analysis By Deployment, 2015-2021
8.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Deployment, 2022-2032
8.3.1. Cloud-Based
8.3.2. Web-Based
8.4. Market Attractiveness Analysis By Deployment
9. Global Academic Scheduling Software Market Analysis 2015-2021 and Forecast 2022-2032, By End-User Industry
9.1. Introduction / Key Findings
9.2. Historical Market Size (US$ Mn) Analysis By End-User Industry, 2015-2021
9.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By End-User Industry, 2022-2032
9.3.1. Schools
9.3.2. Colleges
9.3.3. Universities
9.3.4. Educational Institutions
9.4. Market Attractiveness Analysis By End-User Industry
10. Global Academic Scheduling Software Market Analysis 2015-2021 and Forecast 2022-2032, By Region
10.1. Introduction
10.2. Historical Market Size (US$ Mn) Analysis By Region, 2015-2021
10.3. Current Market Size (US$ Mn) & Analysis and Forecast By Region, 2022-2032
10.3.1. North America
10.3.2. Latin America
10.3.3. Europe
10.3.4. Asia Pacific
10.3.5. Middle East and Africa (MEA)
10.4. Market Attractiveness Analysis By Region
11. North America Academic Scheduling Software Market Analysis 2015-2021 and Forecast 2022-2032
11.1. Introduction
11.2. Pricing Analysis
11.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021
11.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032
11.4.1. By Country
11.4.1.1. U.S.
11.4.1.2. Canada
11.4.1.3. Rest of North America
11.4.2. By Deployment
11.4.3. By End-User Industry
11.5. Market Attractiveness Analysis
11.5.1. By Country
11.5.2. By Deployment
11.5.3. By End-User Industry
12. Latin America Academic Scheduling Software Market Analysis 2015-2021 and Forecast 2022-2032
12.1. Introduction
12.2. Pricing Analysis
12.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021
12.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032
12.4.1. By Country
12.4.1.1. Brazil
12.4.1.2. Mexico
12.4.1.3. Rest of Latin America
12.4.2. By Deployment
12.4.3. By End-User Industry
12.5. Market Attractiveness Analysis
12.5.1. By Country
12.5.2. By Deployment
12.5.3. By End-User Industry
13. Europe Academic Scheduling Software Market Analysis 2015-2021 and Forecast 2022-2032
13.1. Introduction
13.2. Pricing Analysis
13.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021
13.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032
13.4.1. By Country
13.4.1.1. Germany
13.4.1.2. France
13.4.1.3. U.K.
13.4.1.4. Italy
13.4.1.5. Benelux
13.4.1.6. Nordic Countries
13.4.1.7. Rest of Europe
13.4.2. By Deployment
13.4.3. By End-User Industry
13.5. Market Attractiveness Analysis
13.5.1. By Country
13.5.2. By Deployment
13.5.3. By End-User Industry
14. Asia Pacific Academic Scheduling Software Market Analysis 2015-2021 and Forecast 2022-2032
14.1. Introduction
14.2. Pricing Analysis
14.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021
14.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032
14.4.1. By Country
14.4.1.1. China
14.4.1.2. Japan
14.4.1.3. South Korea
14.4.1.4. Rest of Asia Pacific
14.4.2. By Deployment
14.4.3. By End-User Industry
14.5. Market Attractiveness Analysis
14.5.1. By Country
14.5.2. By Deployment
14.5.3. By End-User Industry
15. Middle East and Africa Academic Scheduling Software Market Analysis 2015-2021 and Forecast 2022-2032
15.1. Introduction
15.2. Pricing Analysis
15.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021
15.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032
15.4.1. By Country
15.4.1.1. GCC Countries
15.4.1.2. South Africa
15.4.1.3. Turkey
15.4.1.4. Rest of Middle East and Africa
15.4.2. By Deployment
15.4.3. By End-User Industry
15.5. Market Attractiveness Analysis
15.5.1. By Country
15.5.2. By Deployment
15.5.3. By End-User Industry
16. Key Countries Academic Scheduling Software Market Analysis 2015-2021 and Forecast 2022-2032
16.1. Introduction
16.1.1. Market Value Proportion Analysis, By Key Countries
16.1.2. Global Vs. Country Growth Comparison
16.2. US Academic Scheduling Software Market Analysis
16.2.1. Value Proportion Analysis by Market Taxonomy
16.2.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.2.2.1. By Deployment
16.2.2.2. By End-User Industry
16.3. Canada Academic Scheduling Software Market Analysis
16.3.1. Value Proportion Analysis by Market Taxonomy
16.3.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.3.2.1. By Deployment
16.3.2.2. By End-User Industry
16.4. Mexico Academic Scheduling Software Market Analysis
16.4.1. Value Proportion Analysis by Market Taxonomy
16.4.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.4.2.1. By Deployment
16.4.2.2. By End-User Industry
16.5. Brazil Academic Scheduling Software Market Analysis
16.5.1. Value Proportion Analysis by Market Taxonomy
16.5.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.5.2.1. By Deployment
16.5.2.2. By End-User Industry
16.6. Germany Academic Scheduling Software Market Analysis
16.6.1. Value Proportion Analysis by Market Taxonomy
16.6.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.6.2.1. By Deployment
16.6.2.2. By End-User Industry
16.7. France Academic Scheduling Software Market Analysis
16.7.1. Value Proportion Analysis by Market Taxonomy
16.7.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.7.2.1. By Deployment
16.7.2.2. By End-User Industry
16.8. Italy Academic Scheduling Software Market Analysis
16.8.1. Value Proportion Analysis by Market Taxonomy
16.8.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.8.2.1. By Deployment
16.8.2.2. By End-User Industry
16.9. BENELUX Academic Scheduling Software Market Analysis
16.9.1. Value Proportion Analysis by Market Taxonomy
16.9.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.9.2.1. By Deployment
16.9.2.2. By End-User Industry
16.10. UK Academic Scheduling Software Market Analysis
16.10.1. Value Proportion Analysis by Market Taxonomy
16.10.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.10.2.1. By Deployment
16.10.2.2. By End-User Industry
16.11. Nordic Countries Academic Scheduling Software Market Analysis
16.11.1. Value Proportion Analysis by Market Taxonomy
16.11.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.11.2.1. By Deployment
16.11.2.2. By End-User Industry
16.12. China Academic Scheduling Software Market Analysis
16.12.1. Value Proportion Analysis by Market Taxonomy
16.12.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.12.2.1. By Deployment
16.12.2.2. By End-User Industry
16.13. Japan Academic Scheduling Software Market Analysis
16.13.1. Value Proportion Analysis by Market Taxonomy
16.13.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.13.2.1. By Deployment
16.13.2.2. By End-User Industry
16.14. South Korea Academic Scheduling Software Market Analysis
16.14.1. Value Proportion Analysis by Market Taxonomy
16.14.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.14.2.1. By Deployment
16.14.2.2. By End-User Industry
16.15. GCC Countries Academic Scheduling Software Market Analysis
16.15.1. Value Proportion Analysis by Market Taxonomy
16.15.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.15.2.1. By Deployment
16.15.2.2. By End-User Industry
16.16. South Africa Academic Scheduling Software Market Analysis
16.16.1. Value Proportion Analysis by Market Taxonomy
16.16.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.16.2.1. By Deployment
16.16.2.2. By End-User Industry
16.17. Turkey Academic Scheduling Software Market Analysis
16.17.1. Value Proportion Analysis by Market Taxonomy
16.17.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.17.2.1. By Deployment
16.17.2.2. By End-User Industry
16.17.3. Competition Landscape and Player Concentration in the Country
17. Market Structure Analysis
17.1. Market Analysis by Tier of Companies
17.2. Market Concentration
17.3. Market Share Analysis of Top Players
17.4. Market Presence Analysis
17.4.1. By Regional footprint of Players
17.4.2. Product footprint by Players
18. Competition Analysis
18.1. Competition Dashboard
18.2. Competition Benchmarking
18.3. Competition Deep Dive
18.3.1. ASIMUT SOFTWARE APS
18.3.1.1. Overview
18.3.1.2. Product Portfolio
18.3.1.3. Sales Footprint
18.3.1.4. Strategy Overview
18.3.2. COLLEGENET
18.3.2.1. Overview
18.3.2.2. Product Portfolio
18.3.2.3. Sales Footprint
18.3.2.4. Strategy Overview
18.3.3. DRIVERS ED SOLUTIONS
18.3.3.1. Overview
18.3.3.2. Product Portfolio
18.3.3.3. Sales Footprint
18.3.3.4. Strategy Overview
18.3.4. EMS SOFTWARE
18.3.4.1. Overview
18.3.4.2. Product Portfolio
18.3.4.3. Sales Footprint
18.3.4.4. Strategy Overview
18.3.5. FORADIAN TECHNOLOGIES
18.3.5.1. Overview
18.3.5.2. Product Portfolio
18.3.5.3. Sales Footprint
18.3.5.4. Strategy Overview
18.3.6. SAPPHIRE SOFTWARE
18.3.6.1. Overview
18.3.6.2. Product Portfolio
18.3.6.3. Sales Footprint
18.3.6.4. Strategy Overview
18.3.7. SCHILLING CONSULTING
18.3.7.1. Overview
18.3.7.2. Product Portfolio
18.3.7.3. Sales Footprint
18.3.7.4. Strategy Overview
18.3.8. SCHOLASTICO
18.3.8.1. Overview
18.3.8.2. Product Portfolio
18.3.8.3. Sales Footprint
18.3.8.4. Strategy Overview
18.3.9. Applied Software Consultants
18.3.9.1. Overview
18.3.9.2. Product Portfolio
18.3.9.3. Sales Footprint
18.3.9.4. Strategy Overview
18.3.10. Bullet Solutions
18.3.10.1. Overview
18.3.10.2. Product Portfolio
18.3.10.3. Sales Footprint
18.3.10.4. Strategy Overview
19. Assumptions and Acronyms Used
20. Research Methodology
Explore Technology Insights
View Reports
Academic Scheduling Software Market
