Global K-12 Technology Training for Teachers Market 2017-2021

PART 01: Executive summary

PART 02: Scope of the report

PART 03: Research Methodology

PART 04: Introduction

• Educational technology

PART 05: Market landscape

• Global technology training market

PART 06: Market overview

• Global K-12 technology training for teachers market
• Five forces analysis

PART 07: Geographical segmentation

• Global K-12 technology training for teachers market by geography
• North America
• Europe
• APAC
• ROW

PART 08: Market segmentation  by application

• Global K-12 technology training for teachers market by application
• Content creation
• Assessments
• Collaborative learning
• Others

PART 09: Market segmentation by subject

• Global K-12 technology training for teachers market by subject
• STEM
• Language learning
• Others

PART 10: Decision framework

PART 11: Drivers and challenges

• Market drivers
• Market challenges

PART 12: Market trends

• Growing importance of IoT
• Evolution of gaming and simulation
• Increasing popularity of adaptive training
• Demand for artificial intelligence and virtual reality

PART 13: Vendor landscape

• Competitive scenario
• Competitive benchmarking
• Growth strategy

PART 14: Key vendor analysis

• edX
• European Schoolnet
• NIIT
• Pearson
• Other prominent vendors

PART 15: Appendix

• List of abbreviations

Research Framework

Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.

INFORMATION SOURCES

Primary sources

• Manufacturers and suppliers
• Channel partners
• Industry experts
• Strategic decision makers

Secondary sources

• Industry journals and periodicals
• Government data
• Financial reports of key industry players
• Historical data
• Press releases

DATA ANALYSIS

Data Synthesis

• Collation of data
• Estimation of key figures
• Analysis of derived insights

Data Validation

• Triangulation with data models
• Reference against proprietary databases
• Corroboration with industry experts

REPORT WRITING