North America IoT in Retail Market – Industry Analysis and Forecast (2016-2024) – by Service, Platform, Component, Technology, Application, and Geography

Market Scenario

North America IoT in Retail Market, is expected to grow from USD xx billion in 2016 to USD XX billion in 2024. The segments considered under the scope of the report includes service (Professional, Managed), platform (Device Management, Application Management, Network Management), component (Hardware, Software Networks), technology (Radio Frequency Identification, Near Field Communication, Wi-Fi), application (Collaborative Learning, Virtual Instructor, Simulation, Adaptive, Social, Blended), and geography (US and Canada). North America IoT in Retail Market Maximize Market Research, a global market research firm has undertaken extensive research about the North America internet of things (IoT) connected cars market outlook in terms of the technology growth and the overall IoT ecosystem. The report includes market dynamics describing about the drivers, restraints, and opportunities along with profiling the changing business dynamics and its related impacts on the overall North America IoT in Retail Market growth. The report further gives an in-depth analysis regarding the changing competitive scenario for helping all the stakeholders in the industry and clients. North America IoT in Retail Market is continually becoming more visible, as business solutions using digital transformation. IoT solutions are being created and implemented not only by major retailers with millions and billions to spend on proof of concept as well as software development, but also for installing insight driven devices all across the world. The digital transformation has had a direct and positive impact on overall business efficiency, further driving more sales and improving customer satisfaction. It also had an adverse effect of widening the gap between online and brick-and- mortar businesses, a common problem faced by the retail industry with higher shopper expectations and unprecedented challenges. However, the advent and development of the Internet of Things (IoT) together with the widespread use of mobile devices and mobile apps have helped in overcoming these challenges. The microprocessors and ubiquitous internet connectivity have helped in deployment of smart devices from point of sales systems to the dressing rooms. It enables retailers to gather and analyze data and to interact with each shopper through a unique and personalized way. This is how every aspect of a retail business may benefit from the IoT technology and mobile apps, effectively improving overall sales, cutting costs and drawing customers back to the store. The rapid growth of online shopping has resulted in retailers bringing the frictionless customer experience. Customers want access to the same kind of rich data and high-performance analytics making retailers drive websites and mobile shopping applications. The main goal here is to have limitless control of crafting a customer experience and collect detailed data. To take advantage of this new promising area, retailers in North America are focusing on IoT applications that better serve customers and enhance value. Market Scope: By Service: Professional, Managed By Platform: Device Management, Application Management, and Network Management By Component: Hardware, Software Networks By Technology: Radio Frequency Identification, Near Field Communication, Wi-Fi By Application: Collaborative Learning, Virtual Instructor, Simulation, Adaptive, Social, Blended Key Players • Omnitrol • Amazon • Plexure • Kontakt.Io • Engage3 • Snapbizz • Minodes • Cognizant • Techwave • Allerin • Microsoft • Intel • Softweb Solutions • Oracle Impinj Inc • Harman • Softwear Automation • Kwikt • Bluefox.Io • Leantegra • Lti Global IoT for Public Safety Market – Industry Analysis and Forecast (2016-2024)

Table of Contents

1. INTRODUCTION 1.1. Market description & Scope (2016-2024) 1.2. Objectives 1.2.1. Key Takeaways 1.2.2. Abbreviations & Acronyms 2. RESEARCH METHODOLOGY 2.1. Methods used for market forecasting 2.2. Data Sources 2.2.1. Paid Databases 2.2.2. Primary Sources 2.2.3. Secondary Sources 3. EXECUTIVE SUMMARY 3.1. Major Findings 3.1.1. Key Segment Trends 3.1.1.1. Service 3.1.1.2. Platform 3.1.1.3. Component 3.1.1.4. Technology 3.1.1.5. Application 3.2. Key Companies and their Strategies 4. MARKET OVERVIEW 4.1. IoT in Retail (Internet of Thins) Concept & Definition 4.2. Segments Overview 4.2.1. By Service 4.2.1.1. Professional 4.2.1.2. Managed 4.2.2. By Platform 4.2.2.1. Device Management 4.2.2.2. Application Management 4.2.2.3. Network Management 4.2.3. By Component 4.2.3.1. Hardware 4.2.3.2. Software 4.2.4. By Technology 4.2.4.1. Radio Frequency Identification 4.2.4.2. Near Field Communication 4.2.4.3. Wi-Fi 4.2.5. By Application 4.2.5.1. Collaborative Learning 4.2.5.2. Virtual Instructor 4.2.5.3. Simulation 4.2.5.4. Adaptive 4.2.5.5. Social 4.2.5.6. Blended 4.2.6. By Geography 4.3. Market Dynamics 4.3.1. Drivers 4.3.2. Restraints 4.3.3. Opportunities 4.4. Porter’s Analysis 4.5. PESTLE Analysis 4.6. Fragmentation 4.6.1. Key strategic Alliances of companies (inorganic & organic) 4.6.2. Company Market Share (Top 10 Players) 4.6.3. Comparative Analysis of Key players in IoT in Retail 4.7. Key Trends 5. NORTH AMERICA IOT IN RETAIL SERVICE ESTIMATES & TREND ANALYSIS (2016 – 2024) 5.1. North America IoT in Retail Market: Service Analysis 5.1.1. Professional 5.1.1.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 5.1.2. Managed 5.1.2.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 5.2. North America IoT in Retail Market: Application Trends 6. NORTH AMERICA IOT IN RETAIL PLATFORM ESTIMATES & TREND ANALYSIS (2016 – 2024) 6.1. North America IoT in Retail Market: Platform Analysis 6.1.1. Device Management 6.1.1.1. Market Share and growth forecasts,2016 – 2024 (USD Billion) 6.1.2. Application Management 6.1.2.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 6.1.3. Network Management 6.1.3.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 6.2. North America IoT in Retail Market: Communication Type Trends 7. NORTH AMERICA IOT IN RETAIL COMPONENT ESTIMATES & TREND ANALYSIS (2016 – 2024) 7.1. North America IoT in Retail Market: Component Analysis 7.1.1. Hardware 7.1.1.1. Market Share and growth forecasts,2016 – 2024 (USD Billion) 7.1.2. Software 7.1.2.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 7.2. North America IoT in Retail Market: Services Trends 8. NORTH AMERICA IOT IN RETAIL TECHNOLOGY ESTIMATES & TREND ANALYSIS (2016 – 2024) 8.1. North America IoT in Retail Market: Technology Analysis 8.1.1. Radio Frequency Identification 8.1.1.1. Market Share and growth forecasts,2016 – 2024 (USD Billion) 8.1.2. Near Field Communication 8.1.2.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 8.1.3. Wi-Fi 8.1.3.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 8.2. North America IoT in Retail Market: Hardware Trends 9. NORTH AMERICA IOT IN RETAIL APPLICATION ESTIMATES & TREND ANALYSIS (2016 – 2024) 9.1. North America IoT in Retail Market: Application Analysis 9.1.1. Collaborative Learning 9.1.1.1. Market Share and growth forecasts,2016 – 2024 (USD Billion) 9.1.2. Virtual Instructor 9.1.2.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 9.1.3. Simulation 9.1.3.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 9.1.4. Adaptive 9.1.4.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 9.1.5. Social 9.1.5.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 9.1.6. Blended 9.1.6.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 9.2. North America IoT in Retail Market: Network Trends 10. REGIONAL ESTIMATES & TREND ANALYSIS (2016 – 2024) 10.1. North America IoT in Retail market share, 2016 & 2025 10.2. North America 10.2.1. North America IoT in Retail market, growth forecasts, 2016 – 2024 (USD Billion) 10.2.2. IoT in Retail Drivers For North America Market 10.2.3. Market Share Analysis and Growth Forecast, by Country 10.2.3.1. US 10.2.3.2. Canada 10.2.4. Country-wise GDP Growth Forecast 10.2.5. IoT in Retail Trends In North America Market 11. MARKET SHARE ANALYSIS 11.1. Key Players Regional Market share Analysis 11.1.1. North America 11.1.1.1. US 11.1.1.2. Canada 12. MARKET COMPETITION ANALYSIS 12.1. Strategy Framework 12.2. Consolidation 12.2.1. Patent Analysis 12.2.2. Mergers & Acquisitions 12.2.2.1. Product Based 12.2.2.2. Services Based 12.2.2.3. List of Mergers & Acquisitions 12.2.3. Company Benchmarking (Revenue & Profit Based) 12.2.4. Strategic Assessment of Company Consolidations 12.2.5. Emerging Business Models 12.3. Company Profiles 12.3.1. Omnitrol 12.3.1.1. Company overview 12.3.1.2. Key financials 12.3.1.3. Geographical presence 12.3.1.4. Product and Business Segments 12.3.1.5. Strategic initiatives 12.3.1.6. SWOT analysis 12.3.1.7. Competitive positioning and landscape 12.3.2. Amazon 12.3.2.1. Company overview 12.3.2.2. Key financials 12.3.2.3. Geographical presence 12.3.2.4. Product and Business Segments 12.3.2.5. Strategic initiatives 12.3.2.6. SWOT analysis 12.3.2.7. Competitive positioning and landscape 12.3.3. Plexure 12.3.3.1. Company overview 12.3.3.2. Key financials 12.3.3.3. Geographical presence 12.3.3.4. Product and Business Segments 12.3.3.5. Strategic initiatives 12.3.3.6. SWOT analysis 12.3.3.7. Competitive positioning and landscape 12.3.4. Kontakt.Io 12.3.4.1. Company overview 12.3.4.2. Key financials 12.3.4.3. Geographical presence 12.3.4.4. Product and Business Segments 12.3.4.5. Strategic initiatives 12.3.4.6. SWOT analysis 12.3.4.7. Competitive positioning and landscape 12.3.5. Engage3 12.3.5.1. Company overview 12.3.5.2. Key financials 12.3.5.3. Geographical presence 12.3.5.4. Product and Business Segments 12.3.5.5. Strategic initiatives 12.3.5.6. SWOT analysis 12.3.5.7. Competitive positioning and landscape 12.3.6. Snapbizz 12.3.6.1. Company overview 12.3.6.2. Key financials 12.3.6.3. Geographical presence 12.3.6.4. Product and Business Segments 12.3.6.5. Strategic initiatives 12.3.6.6. SWOT analysis 12.3.6.7. Competitive positioning and landscape 12.3.7. Minodes 12.3.7.1. Company overview 12.3.7.2. Key financials 12.3.7.3. Geographical presence 12.3.7.4. Product and Business Segments 12.3.7.5. Strategic initiatives 12.3.7.6. SWOT analysis 12.3.7.7. Competitive positioning and landscape 12.3.8. Cognizant 12.3.8.1. Company overview 12.3.8.2. Key financials 12.3.8.3. Geographical presence 12.3.8.4. Product and Business Segments 12.3.8.5. Strategic initiatives 12.3.8.6. SWOT analysis 12.3.8.7. Competitive positioning and landscape 12.3.9. Techwave 12.3.9.1. Company overview 12.3.9.2. Key financials 12.3.9.3. Geographical presence 12.3.9.4. Product and Business Segments 12.3.9.5. Strategic initiatives 12.3.9.6. SWOT analysis 12.3.9.7. Competitive positioning and landscape 12.3.10. Allerin 12.3.10.1. Company overview 12.3.10.2. Key financials 12.3.10.3. Geographical presence 12.3.10.4. Product and Business Segments 12.3.10.5. Strategic initiatives 12.3.10.6. SWOT analysis 12.3.10.7. Competitive positioning and landscape 12.3.11. Microsoft 12.3.11.1. Company overview 12.3.11.2. Key financials 12.3.11.3. Geographical presence 12.3.11.4. Product and Business Segments 12.3.11.5. Strategic initiatives 12.3.11.6. SWOT analysis 12.3.11.7. Competitive positioning and landscape 12.3.12. Intel 12.3.12.1. Company overview 12.3.12.2. Key financials 12.3.12.3. Geographical presence 12.3.12.4. Product and Business Segments 12.3.12.5. Strategic initiatives 12.3.12.6. SWOT analysis 12.3.12.7. Competitive positioning and landscape 12.3.13. Softweb Solutions 12.3.13.1. Company overview 12.3.13.2. Key financials 12.3.13.3. Geographical presence 12.3.13.4. Product and Business Segments 12.3.13.5. Strategic initiatives 12.3.13.6. SWOT analysis 12.3.13.7. Competitive positioning and landscape 12.3.14. Oracle Impinj Inc 12.3.14.1. Company overview 12.3.14.2. Key financials 12.3.14.3. Geographical presence 12.3.14.4. Product and Business Segments 12.3.14.5. Strategic initiatives 12.3.14.6. SWOT analysis 12.3.14.7. Competitive positioning and landscape 12.3.15. Harman 12.3.15.1. Company overview 12.3.15.2. Key financials 12.3.15.3. Geographical presence 12.3.15.4. Product and Business Segments 12.3.15.5. Strategic initiatives 12.3.15.6. SWOT analysis 12.3.15.7. Competitive positioning and landscape 12.3.16. Softwear Automation 12.3.16.1. Company overview 12.3.16.2. Key financials 12.3.16.3. Geographical presence 12.3.16.4. Product and Business Segments 12.3.16.5. Strategic initiatives 12.3.16.6. SWOT analysis 12.3.16.7. Competitive positioning and landscape 12.3.17. Kwikt 12.3.17.1. Company overview 12.3.17.2. Key financials 12.3.17.3. Geographical presence 12.3.17.4. Product and Business Segments 12.3.17.5. Strategic initiatives 12.3.17.6. SWOT analysis 12.3.17.7. Competitive positioning and landscape 12.3.18. Bluefox.Io 12.3.18.1. Company overview 12.3.18.2. Key financials 12.3.18.3. Geographical presence 12.3.18.4. Product and Business Segments 12.3.18.5. Strategic initiatives 12.3.18.6. SWOT analysis 12.3.18.7. Competitive positioning and landscape 12.3.19. Leantegra 12.3.19.1. Company overview 12.3.19.2. Key financials 12.3.19.3. Geographical presence 12.3.19.4. Product and Business Segments 12.3.19.5. Strategic initiatives 12.3.19.6. SWOT analysis 12.3.19.7. Competitive positioning and landscape 12.3.20. Lti 12.3.20.1. Company overview 12.3.20.2. Key financials 12.3.20.3. Geographical presence 12.3.20.4. Product and Business Segments 12.3.20.5. Strategic initiatives 12.3.20.6. SWOT analysis 12.3.20.7. Competitive positioning and landscape

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Report ID 10774
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