The remote learning technology spending market size is projected to be valued at US$ 77,734.4 million in 2023 and is expected to rise to US$ 298,446.04 million by 2033. The sales of remote learning technology spending are anticipated to expand at a significant CAGR of 14.7% during the forecast period.
Driving Factors Include:
The increasing trend of digital learning, extensive government initiatives to expand remote learning technology spending, Bring Your Device (BYOD) policy, and the increasing use of Artificial Intelligence (AI) and Machine Learning (ML) are all encouraging market growth.
The increasing acceptance of digital learning in businesses is expected to fuel the growth of remote learning technology spending.
The growing trend of investing in cloud-based solutions is proliferating market growth. This is due to the cloud's flexibility and scalability, as well as the fact that many organizations are now moving away from on-premise solutions.
Many institutes and universities around the world are transforming their teachings, such as laboratory workshops, into online classes, blended with delivery methods using various tools and modes. A few universities are seeking assistance from tech titans by joining forces or partnering with them. As an example,
The market's abundance of online content and service providers is bringing a wealth of educational content online. The growing demand for online educational videos and other content, as well as low hosting costs, are driving more people toward this technology. This consequently bolsters the global remote learning technology spending market growth.
| Attributes | Details |
|---|---|
| Remote Learning Technology Spending Market CAGR | 14.7 % |
| Remote Learning Technology Spending Market Valuation (2023) | US$ 77,734.4 million |
| Remote Learning Technology Spending Market Valuation (2033) | US$ 298,446.04 million |
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| Market Statistics | Details |
|---|---|
| H1,2021 (A) | 16.5% |
| H1,2022 Projected (P) | 15.9% |
| H1,2022 Outlook (O) | 16.8% |
| BPS Change: H1,2022 (O) - H1,2022 (P) | (+) 90 ↑ |
| BPS Change: H1,2022 (O) - H1,2021 (A) | (+) 33 ↑ |
Key trends promoting the adoption of remote learning technology spending market include mobile device-based learning, social learning, and corporate training. One of the key growth drivers for the remote learning technology spending market is the increasing popularity of the tech sector.
Emerging partnerships between remote learning technology spending solution developers and remote learning service providers are offering more scalable educational content for students across the globe.
According to FMI analysis, the variation between the BPS values observed in the remote learning technology market in H1, 2022 (O) - Outlook over H1, 2022 (P) Projected reflects a spike of 90 units.
The market is expected to show notable growth owing to the increasing acceptance of web- and mobile-based learning management system platforms. Additionally, increased academic institution spending on remote learning technology is also anticipated to significantly accelerate market growth.
Compared to H1, 2021 (A), the market is expected to spike by 33 BPS in H1 -2022 (O). The key factor contributing to the growth of the remote learning technology spending market is the increasing use of distance learning and teaching across the globe, particularly during the coronavirus outbreak. Moreover, rising internet penetration and increasing spending on remote learning technology by small and medium-sized businesses are the factors propelling the market growth.
Increasing technological proliferation in the education industry has revolutionized the industry in multiple aspects and is expected to see a few further changes as this revolution picks up pace through 2030. From 2015 to 2021, the remote learning technology spending market exhibited progress at a CAGR of 13.1%.
Increasing technological proliferation, the growing popularity of online & remote learning, the presence of developed internet infrastructure, increasing innovations in education technology, rising digital literacy, and high penetration of smart mobile devices in education systems are a few key factors guiding remote learning technology spending market growth through 2030.
The emergence of coronavirus infections and the imposition of worldwide lockdowns boosted remote learning technology spending potential and market growth further. From 2023 to 2033, the remote learning technology spending industry is anticipated to evolve at a stellar CAGR of 14.7%.
Principal Consultant
Absence of Proper Internet Infrastructure in a few Regions
While remote learning has proven to be highly beneficial in some aspects, it also has some constraints that question its effectiveness. Remote learning and online learning are hugely dependent on high-speed Internet and the presence of operational computing device infrastructure.
The absence of the aforementioned requisites in low-income and underdeveloped regions is expected to restrain spending on remote learning technology solutions to a certain extent through 2030.
Remote learning mimics conventional learning to a great extent but still lacks some aspects that make it less effective than a conventional approach. Scheduled remote learning sessions restrict access to full-time working adults and the lack of student-to-student interactions hinders the social development of individuals.
These factors may have a negative impact on remote learning technology demand growth and are expected to restrain industry potential through 2033.
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Remote Learning Technology Spending Market:
| Attributes | Remote Learning Technology Spending Market |
|---|---|
| CAGR (2023 to 2033) | 14.7% |
| Market Value (2033) | US$ 29,8446.04 million |
| Growth Factor | High internet penetration and availability of smart devices. |
| Opportunity | Extensive government initiatives to expand remote learning technology spending and high incorporation of machine learning. |
Learning Management System (LMS) Market:
| Attributes | Learning Management System (LMS) Market |
|---|---|
| CAGR (2023 to 2033) | 18.0% |
| Market Value (2033) | US$ 98.5 billion. |
| Growth Factor | An increase in smartphone penetration combined with fast internet connectivity |
| Opportunity | Consumer preference for learning management systems is one of the key factors driving the market growth during the analysis period. |
Smart Education and Learning Market:
| Attributes | Smart Education and Learning Market |
|---|---|
| CAGR (2023 to 2033) | 18.9% |
| Market Value (2033) | US$ 2,371.5 million |
| Growth Factor | The increased emphasis on student-centered learning and personalized instruction has fueled the growth of smart education. |
| Opportunity | The market for smart education and learning is expected to grow in the coming years as a result of factors such as increased technology usage in schools and a great emphasis on individualized instruction. |
Remote learning technology spending in North America is expected to increase significantly over the forecast period, with the market currently holding a significant share of 27.8%. The presence of strong Internet infrastructure, rising adoption of digital learning techniques, and increased corporate deployment of remote learning programs are expected to be key factors driving an increase in remote learning technology spending in this region.
Significant investments in educational technology are further bolstering market growth in the United States. Furthermore, government efforts to broaden the international education landscape drive demand for high-education technology in the region.
East Asia's remote learning technology spending market accounted for 19.9% of the global landscape in 2022. Over the forecast period, China, Japan, and South Korea are expected to be the most important markets for remote learning technology providers in this region. Education has become a critical component in Asia countries' economic and sociological development. The ongoing digitization of various countries is stimulating demand in the Asia Pacific for advanced teaching-learning approaches. Governments such as Japan, India, Australia, and Malaysia are supporting online learning methods, which is also increasing market value throughout the region.
The Middle East and Africa and Latin America are estimated to grow steadily during the forecast period. According to the 2018 'Understanding Middle East Education' report, Egypt enrolled 2.4 million students in 2016. This is expected to fuel regional market opportunities. Similarly, Latin America is opening up new opportunities for education providers, and rising investments have created a favorable environment in the region's education industry.
This region is heavily governed by the rules and regulations of the government. Collaboration with academies and organizations has further enabled teachers in this region to be more responsive to technological innovation. High-education learning systems are expected to be the next step in the evolution of an interactive learning experience, and many companies in the region are already utilizing them.
Given the growing popularity of remote learning technology, there is a significant increase in demand for remote learning software solutions as well. Several remote learning technology spending is on software solutions, which is expected to account for more than 60% of the market share by 2030. The coronavirus outbreak in 2020 boosted demand for virtual classroom software and is expected to boost spending in the software segment throughout the forecast period.
As companies expand their business presence across geographies, globalization necessitates a different set of functional and language skills for the critical workforce. The K-12 and high education segments accounted for roughly the second and third significant share of revenue in the e-learning market. It is due to increased federal budgetary allocations in the education sector as they invest in improving digital connectivity and ensuring high-quality education to gain resource competitiveness.
With the instructor-led format, the pace of the course has already been determined and typically cannot be changed for convenience. The most popular option is the self-paced study mode. Self-paced learning is a particular technique that enables the learner to take classes at their own pace. The learner can choose how much content to use and how much time to spend on it. Self-paced learning held a share of over 61% of the global e-learning market in 2021 and is anticipated to grow at a notable rate than instructor-led learning throughout the forecast period.
Players are Emphasizing Customized Learning Solutions to Increase Market Presence
The leading market players are constantly concentrating on expanding their current product and service portfolios. In response to the needs of institutions and students, vendors are releasing tailored solutions. Additionally, emerging technologies such as artificial intelligence, machine learning, and deep learning are assisting important firms to build creative solutions. Moreover, agreements and collaborations with educational institutions aid suppliers in diversifying their clientele.
| Attribute | Details |
|---|---|
| Forecast Period | 2023 to 2033 |
| Historical Data Available for | 2018 to 2022 |
| Market Analysis | US$ million for Value |
| Key Countries Covered | The United States, Canada, Germany, The United Kingdom, France, Italy, Spain, Russia, China, Japan, South Korea, India, Thailand, Malaysia, Indonesia, Australia, New Zealand, GCC Countries, Türkiye, Northern Africa, and South Africa |
| Key Segments Covered | Solution, Learning Mode, End User, Region |
| Key Companies Profiled | Oracle Corporation (California, United States); Astera Software (California, United States); Dell Inc. (Texas, United States); VMware, Inc. (California, United States); CDW LLC. (Lincolnshire, Illinois); ServiceNow, Inc. (California, United States); Unifyed (Chicago, Illinois.); Cisco Systems, Inc. (California, United States); Verizon (New York, United States); Blackboard Inc. (Washington, D.C., United States) |
| Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, DROT Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
| Customization & Pricing | Available upon Request |
The market is slated to attain US$ 77,734.4 million in 2023.
The market is expected to expand at a CAGR of 14.7% through 2033.
Growing acceptance of digital learning among businesses is fueling the market growth.
North America holds a notable market share.
Asia Pacific is Expected to Demonstrate Rapid Growth.
1. Executive Summary | Remote Learning Technology Spending Market 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Solution 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Solution, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Solution, 2023 to 2033 5.3.1. Software 5.3.1.1. Learning Management System (LMS) Platforms 5.3.1.2. Virtual Classroom Software 5.3.1.3. Others 5.3.2. Services 5.3.2.1. Professional Services 5.3.2.2. Outsourced eLearning Services 5.4. Y-o-Y Growth Trend Analysis By Solution, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Solution, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Learning Mode 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Learning Mode, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Learning Mode, 2023 to 2033 6.3.1. Instructor-led Training & Learning 6.3.2. Self-paced eLearning 6.3.3. Blended/Hybrid Learning 6.3.4. Social Learning 6.3.5. Collaborative Learning 6.3.6. Simulation Learning 6.4. Y-o-Y Growth Trend Analysis By Learning Mode, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Learning Mode, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End User 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By End User , 2018 to 2022 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User , 2023 to 2033 7.3.1. Government Organizations 7.3.2. Academic Institutions 7.3.3. Enterprises 7.4. Y-o-Y Growth Trend Analysis By End User , 2018 to 2022 7.5. Absolute $ Opportunity Analysis By End User , 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 8.1. Introduction 8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 8.3.1. North America 8.3.2. Latin America 8.3.3. Europe 8.3.4. South Asia 8.3.5. East Asia 8.3.6. Oceania 8.3.7. MEA 8.4. Market Attractiveness Analysis By Region 9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 9.2.1. By Country 9.2.1.1. USA 9.2.1.2. Canada 9.2.2. By Solution 9.2.3. By Learning Mode 9.2.4. By End User 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Solution 9.3.3. By Learning Mode 9.3.4. By End User 9.4. Key Takeaways 10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. Brazil 10.2.1.2. Mexico 10.2.1.3. Rest of Latin America 10.2.2. By Solution 10.2.3. By Learning Mode 10.2.4. By End User 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Solution 10.3.3. By Learning Mode 10.3.4. By End User 10.4. Key Takeaways 11. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Germany 11.2.1.2. United Kingdom 11.2.1.3. France 11.2.1.4. Spain 11.2.1.5. Italy 11.2.1.6. Rest of Europe 11.2.2. By Solution 11.2.3. By Learning Mode 11.2.4. By End User 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Solution 11.3.3. By Learning Mode 11.3.4. By End User 11.4. Key Takeaways 12. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. India 12.2.1.2. Malaysia 12.2.1.3. Singapore 12.2.1.4. Thailand 12.2.1.5. Rest of South Asia 12.2.2. By Solution 12.2.3. By Learning Mode 12.2.4. By End User 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Solution 12.3.3. By Learning Mode 12.3.4. By End User 12.4. Key Takeaways 13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. China 13.2.1.2. Japan 13.2.1.3. South Korea 13.2.2. By Solution 13.2.3. By Learning Mode 13.2.4. By End User 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Solution 13.3.3. By Learning Mode 13.3.4. By End User 13.4. Key Takeaways 14. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. Australia 14.2.1.2. New Zealand 14.2.2. By Solution 14.2.3. By Learning Mode 14.2.4. By End User 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Solution 14.3.3. By Learning Mode 14.3.4. By End User 14.4. Key Takeaways 15. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 15.2.1. By Country 15.2.1.1. GCC Countries 15.2.1.2. South Africa 15.2.1.3. Israel 15.2.1.4. Rest of MEA 15.2.2. By Solution 15.2.3. By Learning Mode 15.2.4. By End User 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Solution 15.3.3. By Learning Mode 15.3.4. By End User 15.4. Key Takeaways 16. Key Countries Market Analysis 16.1. USA 16.1.1. Pricing Analysis 16.1.2. Market Share Analysis, 2022 16.1.2.1. By Solution 16.1.2.2. By Learning Mode 16.1.2.3. By End User 16.2. Canada 16.2.1. Pricing Analysis 16.2.2. Market Share Analysis, 2022 16.2.2.1. By Solution 16.2.2.2. By Learning Mode 16.2.2.3. By End User 16.3. Brazil 16.3.1. Pricing Analysis 16.3.2. Market Share Analysis, 2022 16.3.2.1. By Solution 16.3.2.2. By Learning Mode 16.3.2.3. By End User 16.4. Mexico 16.4.1. Pricing Analysis 16.4.2. Market Share Analysis, 2022 16.4.2.1. By Solution 16.4.2.2. By Learning Mode 16.4.2.3. By End User 16.5. Germany 16.5.1. Pricing Analysis 16.5.2. Market Share Analysis, 2022 16.5.2.1. By Solution 16.5.2.2. By Learning Mode 16.5.2.3. By End User 16.6. United Kingdom 16.6.1. Pricing Analysis 16.6.2. Market Share Analysis, 2022 16.6.2.1. By Solution 16.6.2.2. By Learning Mode 16.6.2.3. By End User 16.7. France 16.7.1. Pricing Analysis 16.7.2. Market Share Analysis, 2022 16.7.2.1. By Solution 16.7.2.2. By Learning Mode 16.7.2.3. By End User 16.8. Spain 16.8.1. Pricing Analysis 16.8.2. Market Share Analysis, 2022 16.8.2.1. By Solution 16.8.2.2. By Learning Mode 16.8.2.3. By End User 16.9. Italy 16.9.1. Pricing Analysis 16.9.2. Market Share Analysis, 2022 16.9.2.1. By Solution 16.9.2.2. By Learning Mode 16.9.2.3. By End User 16.10. India 16.10.1. Pricing Analysis 16.10.2. Market Share Analysis, 2022 16.10.2.1. By Solution 16.10.2.2. By Learning Mode 16.10.2.3. By End User 16.11. Malaysia 16.11.1. Pricing Analysis 16.11.2. Market Share Analysis, 2022 16.11.2.1. By Solution 16.11.2.2. By Learning Mode 16.11.2.3. By End User 16.12. Singapore 16.12.1. Pricing Analysis 16.12.2. Market Share Analysis, 2022 16.12.2.1. By Solution 16.12.2.2. By Learning Mode 16.12.2.3. By End User 16.13. Thailand 16.13.1. Pricing Analysis 16.13.2. Market Share Analysis, 2022 16.13.2.1. By Solution 16.13.2.2. By Learning Mode 16.13.2.3. By End User 16.14. China 16.14.1. Pricing Analysis 16.14.2. Market Share Analysis, 2022 16.14.2.1. By Solution 16.14.2.2. By Learning Mode 16.14.2.3. By End User 16.15. Japan 16.15.1. Pricing Analysis 16.15.2. Market Share Analysis, 2022 16.15.2.1. By Solution 16.15.2.2. By Learning Mode 16.15.2.3. By End User 16.16. South Korea 16.16.1. Pricing Analysis 16.16.2. Market Share Analysis, 2022 16.16.2.1. By Solution 16.16.2.2. By Learning Mode 16.16.2.3. By End User 16.17. Australia 16.17.1. Pricing Analysis 16.17.2. Market Share Analysis, 2022 16.17.2.1. By Solution 16.17.2.2. By Learning Mode 16.17.2.3. By End User 16.18. New Zealand 16.18.1. Pricing Analysis 16.18.2. Market Share Analysis, 2022 16.18.2.1. By Solution 16.18.2.2. By Learning Mode 16.18.2.3. By End User 16.19. GCC Countries 16.19.1. Pricing Analysis 16.19.2. Market Share Analysis, 2022 16.19.2.1. By Solution 16.19.2.2. By Learning Mode 16.19.2.3. By End User 16.20. South Africa 16.20.1. Pricing Analysis 16.20.2. Market Share Analysis, 2022 16.20.2.1. By Solution 16.20.2.2. By Learning Mode 16.20.2.3. By End User 16.21. Israel 16.21.1. Pricing Analysis 16.21.2. Market Share Analysis, 2022 16.21.2.1. By Solution 16.21.2.2. By Learning Mode 16.21.2.3. By End User 17. Market Structure Analysis 17.1. Competition Dashboard 17.2. Competition Benchmarking 17.3. Market Share Analysis of Top Players 17.3.1. By Regional 17.3.2. By Solution 17.3.3. By Learning Mode 17.3.4. By End User 18. Competition Analysis 18.1. Competition Deep Dive 18.1.1. Oracle Corporation 18.1.1.1. Overview 18.1.1.2. Product Portfolio 18.1.1.3. Profitability by Market Segments 18.1.1.4. Sales Footprint 18.1.1.5. Strategy Overview 18.1.1.5.1. Marketing Strategy 18.1.2. Microsoft Corporation 18.1.2.1. Overview 18.1.2.2. Product Portfolio 18.1.2.3. Profitability by Market Segments 18.1.2.4. Sales Footprint 18.1.2.5. Strategy Overview 18.1.2.5.1. Marketing Strategy 18.1.3. SAP 18.1.3.1. Overview 18.1.3.2. Product Portfolio 18.1.3.3. Profitability by Market Segments 18.1.3.4. Sales Footprint 18.1.3.5. Strategy Overview 18.1.3.5.1. Marketing Strategy 18.1.4. Adobe 18.1.4.1. Overview 18.1.4.2. Product Portfolio 18.1.4.3. Profitability by Market Segments 18.1.4.4. Sales Footprint 18.1.4.5. Strategy Overview 18.1.4.5.1. Marketing Strategy 18.1.5. IBM Corporation 18.1.5.1. Overview 18.1.5.2. Product Portfolio 18.1.5.3. Profitability by Market Segments 18.1.5.4. Sales Footprint 18.1.5.5. Strategy Overview 18.1.5.5.1. Marketing Strategy 18.1.6. Skillsoft 18.1.6.1. Overview 18.1.6.2. Product Portfolio 18.1.6.3. Profitability by Market Segments 18.1.6.4. Sales Footprint 18.1.6.5. Strategy Overview 18.1.6.5.1. Marketing Strategy 18.1.7. Blackborad Inc. 18.1.7.1. Overview 18.1.7.2. Product Portfolio 18.1.7.3. Profitability by Market Segments 18.1.7.4. Sales Footprint 18.1.7.5. Strategy Overview 18.1.7.5.1. Marketing Strategy 18.1.8. e-Zest Soltuions 18.1.8.1. Overview 18.1.8.2. Product Portfolio 18.1.8.3. Profitability by Market Segments 18.1.8.4. Sales Footprint 18.1.8.5. Strategy Overview 18.1.8.5.1. Marketing Strategy 18.1.9. WizIQ Inc. 18.1.9.1. Overview 18.1.9.2. Product Portfolio 18.1.9.3. Profitability by Market Segments 18.1.9.4. Sales Footprint 18.1.9.5. Strategy Overview 18.1.9.5.1. Marketing Strategy 18.1.10. Hurix 18.1.10.1. Overview 18.1.10.2. Product Portfolio 18.1.10.3. Profitability by Market Segments 18.1.10.4. Sales Footprint 18.1.10.5. Strategy Overview 18.1.10.5.1. Marketing Strategy 18.1.11. Allen Interactions Inc. 18.1.11.1. Overview 18.1.11.2. Product Portfolio 18.1.11.3. Profitability by Market Segments 18.1.11.4. Sales Footprint 18.1.11.5. Strategy Overview 18.1.11.5.1. Marketing Strategy 18.1.12. Cornerstone OnDemand Inc. 18.1.12.1. Overview 18.1.12.2. Product Portfolio 18.1.12.3. Profitability by Market Segments 18.1.12.4. Sales Footprint 18.1.12.5. Strategy Overview 18.1.12.5.1. Marketing Strategy 18.1.13. PeopleFluent 18.1.13.1. Overview 18.1.13.2. Product Portfolio 18.1.13.3. Profitability by Market Segments 18.1.13.4. Sales Footprint 18.1.13.5. Strategy Overview 18.1.13.5.1. Marketing Strategy 18.1.14. Instructure Inc. 18.1.14.1. Overview 18.1.14.2. Product Portfolio 18.1.14.3. Profitability by Market Segments 18.1.14.4. Sales Footprint 18.1.14.5. Strategy Overview 18.1.14.5.1. Marketing Strategy 18.1.15. Infor 18.1.15.1. Overview 18.1.15.2. Product Portfolio 18.1.15.3. Profitability by Market Segments 18.1.15.4. Sales Footprint 18.1.15.5. Strategy Overview 18.1.15.5.1. Marketing Strategy 19. Assumptions & Acronyms Used 20. Research Methodology
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Remote Learning Technology Spending Market
