Smart Learning Market, by Component (Hardware, Software, and Services), Learning Type (Synchronous Learning, Asynchronous Learning), End User(Academic, Enterprise), and Regional Analysis (North America, Europe, Asia-Pacific, and LAMEA): Global Opportunity Analysis and Industry Forecast, 2019–2026

Global Smart Learning Industry Insights, 2026:

According to a new study conducted by Research Dive, the global smart learning market revenue will surpass $74,179.1 million by 2026, at a CAGR of 19.2%, increasing from $18,200.0 million in 2018.Asia-Pacific region will experience a noteworthy growth and is projected to produce a revenue of $17,654.6 million till 2026. The global market was dominated by North America region and it registered for $5,824.0 million in 2018.

Smart learning is alsocalled as intelligent education. It is concerned with perspective of context-aware ubiquitous learning and education model. Contexts contain the interactions between trainers, environment and learners. Hence, smart learning and education tools can be believed to be educating platforms providing proper support in the exact place at exact time based on learners’ requirements. This system utilizeselectronic devices such as digital cameras, projectors, graphics tablets, interactive whiteboard and other devices. Smart learning is also termed as advanced distributed learning, e-learning and hybrid learning. 

Driving Factors: Growing adoption of most advanced technologies is a major driving factor for the global smart learning market

Smart Learning Market Drivers: Broadly growing implementation of high-level education technologies by the academic institutes is a significant driver for the smart learning market. For example, in Arizona State University (ASU), approximately 65,000 scholars have benefited from an advanced learning technology platform with more than 12 academic courses. Also, a smooth education process coupled with implementation of innovative technology platforms in the classroom will impel the growth of the global market due to its benefits to the students and teachers.In addition, growing acceptance of smart learning process by the educational organizations to minimize the training costs due to rising budgets is anticipated to enhance the smart learning market growth.

Market Restrain: Huge initial investments are restraining the growth of the smart learning market

High initial investments required for the advanced learning technologies is a significant restraint for the smart learning market. In addition, lack of resources in the developing economies for the implementation of advanced technologies is also expected to limit the growth of the market.

Technical advancementsand implementation of AR/VR in smart learning is expected to create enormous investment opportunities in the smart learning market

Increasing trend towards bring your own devices (BYOD) is projected to increasing the adoption of advanced learning tools further generating significant investment prospects in the global smart learning market. In addition, growing incorporation of augmented reality and virtual reality in the smart learning platforms is also estimated to drive the growth of the market in the coming years.

Software component type accounted for the majority of the global smart learning market share, which was 43.4% in 2018 and is estimated to grow at a significant growth rate of 19.6% CAGR in the forecast time. Hardware component type registered for second highest market size in 2018; it was valued over $5,642.0 million and is projected to account for $21,882.8 million by the end of 2026. The software and hardware both will play important role in the smart learning market. These provide organizations with efficient enterprise resource planning systems (ERPS) that support faculty staff to manage and handle high number students.This factor will drive the market growth in the projected time. In addition, growing trend for online education platforms is increasing the demand for smart learning systems, which is estimated to enhance the growth of the market.

The smart learning market for asynchronous learning type is anticipated to experience a significant growth and is projected to account for $37,905.5 million by 2026. This growth is majorly because of significant benefits of asynchronous learning type such as, it provides complete control over smart learning and can be carried out in both online and offline modes. The market for synchronous learning type held evident market size in 2018, it generated over $9,718.8 million and is anticipated to generate a revenue of $36,273.6 million by the end of 2026. Synchronic learning type offers several benefits include students can ask any queries in real time and receive immediate feedback. This abovementioned factor is expected to drive the market size in the forecast time.
 
Enterprise end use will witness to grow at a remarkable rate of 21.5% CAGR and is projected to generate significant growth opportunities in terms of revenue throughout the forecast time. There is growing adoption of smart learning tools by large, medium & small size enterprises to train their employees from anywhere in the world. Also, smart learning platforms allow workers to access material or data anywhere and at any time. These factors will enhance the market size in the enterprise end use. Academic end use segment accounted for the majority of the global smart learning market share and is anticipated to continue its growth throughout the projected period. This growth in the academic end use market is mainly due to extensive usage of smart education and learning platforms by most of the institutes because it is importance to monitor student behavior and learning processes.

North America Smart Learning Market, 2026:

North America region has dominated the smart learning market size; it was valued over $5,824.0 million in 2018 and is projected to continue its dominance during the estimated time. This dominance is due to rapid growth in adoption of smart learning tools and presence of significant market players in North America region. Also, growing number of mobile learning application in the North America region is anticipated to impel the growth of the market. Due to growth in adoptionof advanced learning system, the North America market is estimated to generate a revenue of $21,957.0 million till 2026 at a CAGR of 18.0%.

Asia-Pacific Smart Learning Market Overview, 2026:

Asia-Pacific region will have immense growth prospects for the market players throughout the forecast period

Asia-Pacific region market is witnessing a noticeable growth and is predicted to produce substantial revenue in the forecast time. Growing number of digital classrooms resulting in growing adoption of smart learning tools for transformation of education systems is projected to drive the market growth in the Asia-Pacific region. Moreover, South Korea is the major contributor in the Asia-Pacific region and rapid growth in the adoption of virtual learning techniques are estimated to enhance the market size in the forecast time. Due to growing implementation of smart learning techniques, the Asia-Pacific market is anticipated to register a revenue of $17,654.6 million in 2026.

Significant market players are IBM, SMART Technologies ULC, Saba Software, SAP, Cornerstone, Huawei Technologies Co., Ltd, McGraw-Hill, Alphabet, Blackboard Inc., SAMSUNG, Adobe, Oracle, Microsoft, BenQ, Pearson and CrossKnowledge. These players adoption several growth strategies, including new services launches, partnerships & collaboration and R&D activities to expand into local markets. These are the most common strategies followed by significant players to strengthen their competitive edge. 

Porter’s Five Forces Analysis for Smart Learning Market:

• Bargaining Control of Traders: This market hashuge number of small & medium and large-scaletraders and shiftingcontrol is estimated to be high. The price of smart learning systems & tools is predicted to be high. The bargaining control of traders is HIGH.

• Bargaining Control of Consumer: The market contains high concentration of consumers and consumers always check the prices of different advanced learning systems. Also, growing number of virtual classrooms is increasing the demand for smart education processes. The bargaining control of consumeris HIGH.

• Threat of New Applicants: The market consists of significant participants,and cost associated with the implementation of advanced educations processes is very high. Also, lack of sufficient assets for the transformation of traditional methods to digital classrooms is limiting the market growth are delivering HIGH threat of new applicants in the industry.

• Threat of Substitute: The smart learning market has a smaller number of substitute technologies & tools and provide major support for the usage of smart learning technologies, and thereby there is LOW threat of substitutes.

• Rivalry among market players: Smart learning market consists of significant participants. These key participants are focusing on several tactics such as new technology introduction, R&D activities andup gradation of existed tools to strengthen competitive edge in the global industry. These are frequent strategies adopted by most of the participants and resulting in HIGH rivalry among the market players.

1.Research Methodology

1.1.Desk Research
1.2.Real time insights and validation
1.3.Forecast model
1.4.Assumptions and forecast parameters

1.4.1.Assumptions
1.4.2.Forecast parameters

1.5.Data sources

1.5.1.Primary
1.5.2.Secondary

2.Executive Summary

2.1.360° summary
2.2.Component trends
2.3.Learning type trends
2.4.End User trends

3.Market overview

3.1.Market segmentation & definitions
3.2.Key takeaways

3.2.1.Top investment pockets
3.2.2.Top winning strategies

3.3.Porter’s five forces analysis

3.3.1.Bargaining power of consumers
3.3.2.Bargaining power of suppliers
3.3.3.Threat of new entrants
3.3.4.Threat of substitutes
3.3.5.Competitive rivalry in the market

3.4.Market dynamics

3.4.1.Drivers
3.4.2.Restraints
3.4.3.Opportunities

3.5.Technology landscape
3.6.Market value chain analysis
3.7.Strategic overview

4.Smart Learning Market, by Component

4.1.Hardware

4.1.1.Market size and forecast, by region, 2018-2026
4.1.2.Comparative market share analysis, 2018 & 2026

4.2.Software

4.2.1.Market size and forecast, by region, 2018-2026
4.2.2.Comparative market share analysis, 2018 & 2026

4.3.Services

4.3.1.Market size and forecast, by region, 2018-2026
4.3.2.Comparative market share analysis, 2018 & 2026

5.Smart Learning Market, by Learning type

5.1.Synchronous learning

5.1.1.Market size and forecast, by region, 2018-2026
5.1.2.Comparative market share analysis, 2018 & 2026

5.2.Asynchronous learning

5.2.1.Market size and forecast, by region, 2018-2026
5.2.2.Comparative market share analysis, 2018 & 2026

6.Smart Learning Market, by End Use 

6.1.Academic

6.1.1.Market size and forecast, by region, 2018-2026
6.1.2.Comparative market share analysis, 2018 & 2026

6.2.Learning

6.2.1.Market size and forecast, by region, 2018-2026
6.2.2.Comparative market share analysis, 2018 & 2026

7.Smart learning market, by Region

7.1.North America

7.1.1.Market size and forecast, by component, 2018-2026
7.1.2.Market size and forecast, bylearning type, 2018-2026
7.1.3.Market size and forecast, by end use, 2018-2026
7.1.4.Market size and forecast, by country, 2018-2026
7.1.5.Comparative market share analysis, 2018 & 2026
7.1.6.U.S.

7.1.6.1.Market size and forecast, by component, 2018-2026
7.1.6.2.Market size and forecast, by learning type, 2018-2026
7.1.6.3.Market size and forecast, by end use, 2018-2026
7.1.6.4.Comparative market share analysis, 2018 & 2026

7.1.7.Canada

7.1.7.1.Market size and forecast, by component, 2018-2026
7.1.7.2.Market size and forecast, by learning type, 2018-2026
7.1.7.3.Market size and forecast, by end use, 2018-2026
7.1.7.4.Comparative market share analysis, 2018 & 2026

7.1.8.Mexico

7.1.8.1.Market size and forecast, by component, 2018-2026
7.1.8.2.Market size and forecast, by learning type, 2018-2026
7.1.8.3.Market size and forecast, by end use, 2018-2026
7.1.8.4.Comparative market share analysis, 2018 & 2026

7.2.Europe

7.2.1.Market size and forecast, by component, 2018-2026
7.2.2.Market size and forecast, by learning type, 2018-2026
7.2.3.Market size and forecast, by end use, 2018-2026
7.2.4.Market size and forecast, by country, 2018-2026
7.2.5.Comparative market share analysis, 2018 & 2026
7.2.6.Germany 

7.2.6.1.Market size and forecast, by component, 2018-2026
7.2.6.2.Market size and forecast, by learning type, 2018-2026
7.2.6.3.Market size and forecast, by end use, 2018-2026
7.2.6.4.Comparative market share analysis, 2018 & 2026

7.2.7.UK

7.2.7.1.Market size and forecast, by component, 2018-2026
7.2.7.2.Market size and forecast, by learning type, 2018-2026
7.2.7.3.Market size and forecast, by end use, 2018-2026
7.2.7.4.Comparative market share analysis, 2018 & 2026

7.2.8.France

7.2.8.1.Market size and forecast, by component, 2018-2026
7.2.8.2.Market size and forecast, by learning type, 2018-2026
7.2.8.3.Market size and forecast, by end use, 2018-2026
7.2.8.4.Comparative market share analysis, 2018 & 2026

7.2.9.Spain

7.2.9.1.Market size and forecast, by component, 2018-2026
7.2.9.2.Market size and forecast, by learning type, 2018-2026
7.2.9.3.Market size and forecast, by end use, 2018-2026
7.2.9.4.Comparative market share analysis, 2018 & 2026

7.2.10.Italy 

7.2.10.1.Market size and forecast, by component, 2018-2026
7.2.10.2.Market size and forecast, by learning type, 2018-2026
7.2.10.3.Market size and forecast, by end use, 2018-2026
7.2.10.4.Comparative market share analysis, 2018 & 2026

7.2.11.Rest of Europe

7.2.11.1.Market size and forecast, by component, 2018-2026
7.2.11.2.Market size and forecast, by learning type, 2018-2026
7.2.11.3.Market size and forecast, by end use, 2018-2026
7.2.11.4.Comparative market share analysis, 2018 & 2026

7.3.Asia Pacific

7.3.1.Market size and forecast, by component, 2018-2026
7.3.2.Market size and forecast, by learning type, 2018-2026
7.3.3.Market size and forecast, by end use, 2018-2026
7.3.4.Market size and forecast, by country, 2018-2026
7.3.5.Comparative market share analysis, 2018 & 2026
7.3.6.China

7.3.6.1.Market size and forecast, by component, 2018-2026
7.3.6.2.Market size and forecast, by learning type, 2018-2026
7.3.6.3.Market size and forecast, by end use, 2018-2026
7.3.6.4.Comparative market share analysis, 2018 & 2026

7.3.7.India 

7.3.7.1.Market size and forecast, by component, 2018-2026
7.3.7.2.Market size and forecast, by learning type, 2018-2026
7.3.7.3.Market size and forecast, by end use, 2018-2026
7.3.7.4.Comparative market share analysis, 2018 & 2026

7.3.8.Japan 

7.3.8.1.Market size and forecast, by component, 2018-2026
7.3.8.2.Market size and forecast, by learning type, 2018-2026
7.3.8.3.Market size and forecast, by end use, 2018-2026
7.3.8.4.Comparative market share analysis, 2018 & 2026

7.3.9.Australia 

7.3.9.1.Market size and forecast, by component, 2018-2026
7.3.9.2.Market size and forecast, by learning type, 2018-2026
7.3.9.3.Market size and forecast, by end use, 2018-2026
7.3.9.4.Comparative market share analysis, 2018 & 2026

7.3.10.Rest of Asia Pacific

7.3.10.1.Market size and forecast, by component, 2018-2026
7.3.10.2.Market size and forecast, by learning type, 2018-2026
7.3.10.3.Market size and forecast, by end use, 2018-2026
7.3.10.4.Comparative market share analysis, 2018 & 2026

7.4.LAMEA

7.4.1.Market size and forecast, by component, 2018-2026
7.4.2.Market size and forecast, by learning type, 2018-2026
7.4.3.Market size and forecast, by end use, 2018-2026
7.4.4.Market size and forecast, by country, 2018-2026
7.4.5.Comparative market share analysis, 2018 & 2026
7.4.6.Latin America 

7.4.6.1.Market size and forecast, by component, 2018-2026
7.4.6.2.Market size and forecast, by learning type, 2018-2026
7.4.6.3.Market size and forecast, by end use, 2018-2026
7.4.6.4.Comparative market share analysis, 2018 & 2026

7.4.7.Middle East 

7.4.7.1.Market size and forecast, by component, 2018-2026
7.4.7.2.Market size and forecast, by learning type, 2018-2026
7.4.7.3.Market size and forecast, by end use, 2018-2026
7.4.7.4.Comparative market share analysis, 2018 & 2026

7.4.8.Africa

7.4.8.1.Market size and forecast, by component, 2018-2026
7.4.8.2.Market size and forecast, by learning type, 2018-2026
7.4.8.3.Market size and forecast, by end use, 2018-2026
7.4.8.4.Comparative market share analysis, 2018 & 2026

8.Company profiles

8.1.IBM

8.1.1.Business overview
8.1.2.Financial performance
8.1.3.Product portfolio
8.1.4.Recent strategic moves & developments
8.1.5.SWOT analysis

8.2.SMART Technologies ULC

8.2.1.Business overview
8.2.2.Financial performance
8.2.3.Product portfolio
8.2.4.Recent strategic moves & developments
8.2.5.SWOT analysis

8.3.Saba Software

8.3.1.Business overview
8.3.2.Financial performance
8.3.3.Product portfolio
8.3.4.Recent strategic moves & developments
8.3.5.SWOT analysis

8.4.SAP

8.4.1.Business overview
8.4.2.Financial performance
8.4.3.Product portfolio
8.4.4.Recent strategic moves & developments
8.4.5.SWOT analysis

8.5.Cornerstone

8.5.1.Business overview
8.5.2.Financial performance
8.5.3.Product portfolio
8.5.4.Recent strategic moves & developments
8.5.5.SWOT analysis

8.6.Huawei Technologies Co., Ltd

8.6.1.Business overview
8.6.2.Financial performance
8.6.3.Product portfolio
8.6.4.Recent strategic moves & developments
8.6.5.SWOT analysis

8.7.McGraw-Hill

8.7.1.Business overview
8.7.2.Financial performance
8.7.3.Product portfolio
8.7.4.Recent strategic moves & developments
8.7.5.SWOT analysis

8.8.Alphabet

8.8.1.Business overview
8.8.2.Financial performance
8.8.3.Product portfolio
8.8.4.Recent strategic moves & developments
8.8.5.SWOT analysis

8.9.Blackboard Inc.

8.9.1.Business overview
8.9.2.Financial performance
8.9.3.Product portfolio
8.9.4.Recent strategic moves & developments
8.9.5.SWOT analysis

8.10.SAMSUNG

8.10.1.Business overview
8.10.2.Financial performance
8.10.3.Product portfolio
8.10.4.Recent strategic moves & developments
8.10.5.SWOT analysis

8.11.Adobe

8.11.1.Business overview
8.11.2.Financial performance
8.11.3.Product portfolio
8.11.4.Recent strategic moves & developments
8.11.5.SWOT analysis

8.12.Oracle

8.12.1.Business overview
8.12.2.Financial performance
8.12.3.Product portfolio
8.12.4.Recent strategic moves & developments
8.12.5.SWOT analysis

8.13.Microsoft 

8.13.1.Business overview
8.13.2.Financial performance
8.13.3.Product portfolio
8.13.4.Recent strategic moves & developments
8.13.5.SWOT analysis

8.14.BenQ

8.14.1.Business overview
8.14.2.Financial performance
8.14.3.Product portfolio
8.14.4.Recent strategic moves & developments
8.14.5.SWOT analysis

8.15.Pearson

8.15.1.Business overview
8.15.2.Financial performance
8.15.3.Product portfolio
8.15.4.Recent strategic moves & developments
8.15.5.SWOT analysis

8.16.CrossKnowledge

8.16.1.Business overview
8.16.2.Financial performance
8.16.3.Product portfolio
8.16.4.Recent strategic moves & developments
8.16.5.SWOT analysis
 

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