Asia Pacific IoT Automotive Market – Industry Analysis and Forecast (2019-2026) – By Geography (China, Japan, India, South Korea, Australia, Others)

Asia Pacific IoT Automotive Market – Industry Analysis and Forecast (2019-2026) – By Geography (China, Japan, India, South Korea, Australia, Others)

Market Scenario

Asia Pacific IoT Automotive Market was valued at USD XX Billion in 2018 with a CAGR of XX % between the forecast period of 2018 and 2026. Asia Pacific IoT Automotive Market, ApplicationThe Asia Pacific IoT Automotive Market is segmented by application (infotainment, navigation, and telematics), connectivity form (embedded, tethered, and integrated), communication type (in-vehicle, vehicle to vehicle, vehicle to infrastructure), offering (hardware, software, service), and by Region (China, Japan, India, South Korea, Australia, Others). Maximize Market Research, a global market research firm with a dedicated team of specialists and data has carried out extensive research about the current Asia Pacific IoT Automotive Market outlook. The report encompasses the Asia Pacific IoT Automotive Market by different segments and region, providing the in-depth analysis of overall industry ecosystem, useful for taking an informed strategic decision by the key stakeholders in the industry. Importantly, the report delivers forecasts and share of the market, further giving an insight into the market dynamics, and future opportunities that might exist in the Asia Pacific IoT Automotive Market. The driving forces, as well as considerable restraints, have been explained in depth. In addition to this, competitive landscape describing the strategic growth of the competitors have been taken into consideration for enhancing the market know-how of our clients and at the same time explain the market positioning of competitors. Connectivity is getting better in today’s world, with new high tech gadgets and machines at disposal. There is the upcoming smart world where the much-hyped Internet of things (IoT) and machine to machine (M2M) connections will together bring in the massive transformation. Asia Pacific region has been at the forefront of a technological revolution especially with China, the world’s largest manufacturer looking at speeding up IoT and M2M technologies. By 2020, it is expected that there will be 200 billion IoT connected devices globally, out of which 95% will be completely manufactured in China itself. An increasing 4G network coverage has helped in connecting China’s car market. There is expected to be around 68 million smart cars on the country's roads by 2019. Chinese company Baidu has tied up with BMW to introduce a driverless car soon, while the Volvo Car Corp. is working with China Unicom on its in-car services, which includes voice recognition systems and rapid assistance. Experiments are going on to implant cars with SiM solutions having a built-in capability to monitor vehicle performance, offering connected services that are integrated with driving experience and installing an emergency call system as well. Recently, the famous Chinese automaker ByD introduced a new car, the Qin, that are equipped with hybrid power and remote controllers. The built-in the technology of IoT allow using a smartphone to check the car’s status, location, as well as control the air conditioner. The smartphones can also be used for driving the car by remote control from several feet away. Automakers are working on deploying in-vehicle connectivity for collecting data about the car’s performance in order to form hi-tech vehicles with value-added services. The automotive industry has been around for quite some time and has hugely evolved ever since, but the major transformation happening now with vehicles driven by themselves will eventually have a long-term impact on society. The automobile industry is on the edge of a revolution, to move on towards the self-driving automobile industry, with the main driving force behind this being the Internet of Things (IoT). IoT will change the automobile industry and at the same time, the automobile industry will also provide a big boost to the IoT applications especially for the Asia Pacific IoT Automotive Market. Market Scope: • Asia Pacific IoT Automotive Market, Application o Infotainment o Navigation o Telematics •Asia Pacific IoT Automotive Market,  Connectivity Form o Embedded o Tethered o Integrated •Asia Pacific IoT Automotive Market,  Communication Type o In-Vehicle o Vehicle to Vehicle o Vehicle to Infrastructure •Asia Pacific IoT Automotive Market, Offering o Hardware o Software o Service Key Players operating in the Asia Pacific IoT Automotive Market: • Volvo Corp. • Byd • Baidu • BMW • Mercedes Benz • China Unicorn • Honda • Tomtom N.V • Apple • IBM Corporation • Cisco Systems Inc • General Motors • Google Inc • Thales SA • Robert Bosch Gmbh • NXP Semiconductors N.V. • Audi Ag • AT&T Inc • Microsoft Europe IoT in BFSI Market –Industry Analysis and Forecast (2016-2024)

Table of Contents

1. INTRODUCTION 1.1. Market description & Scope (2019-2026) 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. Application 3.1.1.2. Connectivity Form 3.1.1.3. Communication Type 3.1.1.4. Offering 3.1.2. Key Regional Trends 3.2. Key Companies and their Strategies 4. MARKET OVERVIEW 4.1. IoT Automotive (Internet of Things) Concept & Definition 4.2. Segments Overview 4.2.1. By Application 4.2.1.1. Infotainment 4.2.1.2. Navigation 4.2.1.3. Telematics 4.2.2. By Connectivity Form 4.2.2.1. Embedded 4.2.2.2. Tethered 4.2.2.3. Integrated 4.2.3. By Communication Type 4.2.3.1. In-Vehicle 4.2.3.2. Vehicle to Vehicle 4.2.3.3. Vehicle to Infrastructure 4.2.4. By Offering 4.2.4.1. Hardware 4.2.4.2. Software 4.2.4.3. Service 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 Automotive 4.7. Key Trends 5. ASIA PACIFIC IOT AUTOMOTIVE APPLICATION ESTIMATES & TREND ANALYSIS (2019-2026) 5.1. Asia Pacific IoT Automotive Market: Application Analysis 5.1.1. Infotainment 5.1.1.1. Market Share and growth forecasts, 2019-2026 (USD Billion) 5.1.2. Navigation 5.1.2.1. Market Share and growth forecasts, 2019-2026 (USD Billion) 5.1.3. Telematics 5.1.3.1. Market Share and growth forecasts, 2019-2026 (USD Billion) 5.2. Asia Pacific IoT Automotive Market: Application Trends 6. ASIA PACIFIC IOT AUTOMOTIVE CONNECTIVITY FORM ESTIMATES & TREND ANALYSIS (2019-2026) 6.1. Asia Pacific IoT Automotive Market: Connectivity Form Analysis 6.1.1. Embedded 6.1.1.1. Market Share and growth forecasts,2019-2026 (USD Billion) 6.1.2. Tethered 6.1.2.1. Market Share and growth forecasts, 2019-2026 (USD Billion) 6.1.3. Integrated 6.1.3.1. Market Share and growth forecasts, 2019-2026 (USD Billion) 6.2. Asia Pacific IoT Automotive Market: Connectivity Form Trends 7. ASIA PACIFIC IOT AUTOMOTIVE COMMUNICATION TYPE ESTIMATES & TREND ANALYSIS (2019-2026) 7.1. Asia Pacific IoT Automotive Market: Communication Type Analysis 7.1.1. In-Vehicle 7.1.1.1. Market Share and growth forecasts,2019-2026 (USD Billion) 7.1.2. Vehicle to Vehicle 7.1.2.1. Market Share and growth forecasts, 2019-2026 (USD Billion) 7.1.3. Vehicle to Infrastructure 7.1.3.1. Market Share and growth forecasts, 2019-2026 (USD Billion) 7.2. Asia Pacific IoT Automotive Market: Communication Type Trends 8. ASIA PACIFIC IOT AUTOMOTIVE OFFERING ESTIMATES & TREND ANALYSIS (2019-2026) 8.1. Asia Pacific IoT Automotive Market: Offering Analysis 8.1.1. Hardware 8.1.1.1. Market Share and growth forecasts,2019-2026 (USD Billion) 8.1.2. Software 8.1.2.1. Market Share and growth forecasts, 2019-2026 (USD Billion) 8.1.3. Service 8.1.3.1. Market Share and growth forecasts, 2019-2026 (USD Billion) 8.2. Asia Pacific IoT Automotive Market: Offering Trends 9. REGIONAL ESTIMATES & TREND ANALYSIS (2019-2026) 9.1. Asia Pacific IoT Automotive market share by Region, 2016 & 2025 9.2. Asia Pacific 9.2.1. Asia Pacific IoT Automotive market, Market Share and growth forecasts, 2019-2026 (USD Billion) 9.2.2. IoT Automotive Drivers for Asia Pacific Market 9.2.3. Market Share Analysis and Growth Forecast, by Country 9.2.3.1. China 9.2.3.2. Japan 9.2.3.3. India 9.2.3.4. South Korea 9.2.3.5. Australia 9.2.3.6. Others 9.2.4. Country-wise GDP Growth Forecast 9.2.5. IoT Automotive Trends In Asia Pacific Market 10. MARKET SHARE ANALYSIS 10.1. Key Players Regional Market share Analysis 10.1.1. China 10.1.2. Japan 10.1.3. India 10.1.4. South Korea 10.1.5. Australia 10.1.6. Others 11. MARKET COMPETITION ANALYSIS 11.1. Strategy Framework 11.2. Consolidation 11.2.1. Patent Analysis 11.2.2. Mergers & Acquisitions 11.2.2.1. Product Based 11.2.2.2. Services Based 11.2.2.3. Region Based 11.2.2.4. List of Mergers & Acquisitions 11.2.3. Company Benchmarking (Revenue & Profit Based) 11.2.4. Strategic Assessment of Company Consolidations 11.2.5. Emerging Business Models 11.3. Company Profiles 11.3.1. Fujitsu 11.3.1.1. Company overview 11.3.1.2. Key financials 11.3.1.3. Geographical presence 11.3.1.4. Product and Business Segments 11.3.1.5. Strategic initiatives 11.3.1.6. SWOT analysis 11.3.1.7. Competitive positioning and landscape 11.3.2. Volvo Corp. 11.3.2.1. Company overview 11.3.2.2. Key financials 11.3.2.3. Geographical presence 11.3.2.4. Product and Business Segments 11.3.2.5. Strategic initiatives 11.3.2.6. SWOT analysis 11.3.2.7. Competitive positioning and landscape 11.3.3. Byd 11.3.3.1. Company overview 11.3.3.2. Key financials 11.3.3.3. Geographical presence 11.3.3.4. Product and Business Segments 11.3.3.5. Strategic initiatives 11.3.3.6. SWOT analysis 11.3.3.7. Competitive positioning and landscape 11.3.4. Baidu 11.3.4.1. Company overview 11.3.4.2. Key financials 11.3.4.3. Geographical presence 11.3.4.4. Product and Business Segments 11.3.4.5. Strategic initiatives 11.3.4.6. SWOT analysis 11.3.4.7. Competitive positioning and landscape 11.3.5. BMW 11.3.5.1. Company overview 11.3.5.2. Key financials 11.3.5.3. Geographical presence 11.3.5.4. Product and Business Segments 11.3.5.5. Strategic initiatives 11.3.5.6. SWOT analysis 11.3.5.7. Competitive positioning and landscape 11.3.6. Mercedes Benz 11.3.6.1. Company overview 11.3.6.2. Key financials 11.3.6.3. Geographical presence 11.3.6.4. Product and Business Segments 11.3.6.5. Strategic initiatives 11.3.6.6. SWOT analysis 11.3.6.7. Competitive positioning and landscape 11.3.7. China Unicorn 11.3.7.1. Company overview 11.3.7.2. Key financials 11.3.7.3. Geographical presence 11.3.7.4. Product and Business Segments 11.3.7.5. Strategic initiatives 11.3.7.6. SWOT analysis 11.3.7.7. Competitive positioning and landscape 11.3.8. Honda 11.3.8.1. Company overview 11.3.8.2. Key financials 11.3.8.3. Geographical presence 11.3.8.4. Product and Business Segments 11.3.8.5. Strategic initiatives 11.3.8.6. SWOT analysis 11.3.8.7. Competitive positioning and landscape 11.3.9. Tomtom N.V 11.3.9.1. Company overview 11.3.9.2. Key financials 11.3.9.3. Geographical presence 11.3.9.4. Product and Business Segments 11.3.9.5. Strategic initiatives 11.3.9.6. SWOT analysis 11.3.9.7. Competitive positioning and landscape 11.3.10. Apple 11.3.10.1. Company overview 11.3.10.2. Key financials 11.3.10.3. Geographical presence 11.3.10.4. Product and Business Segments 11.3.10.5. Strategic initiatives 11.3.10.6. SWOT analysis 11.3.10.7. Competitive positioning and landscape 11.3.11. IBM Corporation 11.3.11.1. Company overview 11.3.11.2. Key financials 11.3.11.3. Geographical presence 11.3.11.4. Product and Business Segments 11.3.11.5. Strategic initiatives 11.3.11.6. SWOT analysis 11.3.11.7. Competitive positioning and landscape 11.3.12. Cisco Systems Inc 11.3.12.1. Company overview 11.3.12.2. Key financials 11.3.12.3. Geographical presence 11.3.12.4. Product and Business Segments 11.3.12.5. Strategic initiatives 11.3.12.6. SWOT analysis 11.3.12.7. Competitive positioning and landscape 11.3.13. General Motors 11.3.13.1. Company overview 11.3.13.2. Key financials 11.3.13.3. Geographical presence 11.3.13.4. Product and Business Segments 11.3.13.5. Strategic initiatives 11.3.13.6. SWOT analysis 11.3.13.7. Competitive positioning and landscape 11.3.14. Google Inc 11.3.14.1. Company overview 11.3.14.2. Key financials 11.3.14.3. Geographical presence 11.3.14.4. Product and Business Segments 11.3.14.5. Strategic initiatives 11.3.14.6. SWOT analysis 11.3.14.7. Competitive positioning and landscape 11.3.15. Thales SA 11.3.15.1. Company overview 11.3.15.2. Key financials 11.3.15.3. Geographical presence 11.3.15.4. Product and Business Segments 11.3.15.5. Strategic initiatives 11.3.15.6. SWOT analysis 11.3.15.7. Competitive positioning and landscape 11.3.16. Robert Bosch Gmbh 11.3.16.1. Company overview 11.3.16.2. Key financials 11.3.16.3. Geographical presence 11.3.16.4. Product and Business Segments 11.3.16.5. Strategic initiatives 11.3.16.6. SWOT analysis 11.3.16.7. Competitive positioning and landscape 11.3.17. NXP Semiconductors N.V. 11.3.17.1. Company overview 11.3.17.2. Key financials 11.3.17.3. Geographical presence 11.3.17.4. Product and Business Segments 11.3.17.5. Strategic initiatives 11.3.17.6. SWOT analysis 11.3.17.7. Competitive positioning and landscape 11.3.18. Audi Ag 11.3.18.1. Company overview 11.3.18.2. Key financials 11.3.18.3. Geographical presence 11.3.18.4. Product and Business Segments 11.3.18.5. Strategic initiatives 11.3.18.6. SWOT analysis 11.3.18.7. Competitive positioning and landscape 11.3.19. AT&T Inc 11.3.19.1. Company overview 11.3.19.2. Key financials 11.3.19.3. Geographical presence 11.3.19.4. Product and Business Segments 11.3.19.5. Strategic initiatives 11.3.19.6. SWOT analysis 11.3.19.7. Competitive positioning and landscape 11.3.20. Microsoft 11.3.20.1. Company overview 11.3.20.2. Key financials 11.3.20.3. Geographical presence 11.3.20.4. Product and Business Segments 11.3.20.5. Strategic initiatives 11.3.20.6. SWOT analysis 11.3.20.7. Competitive positioning and landscape

About This Report

Report ID11219
Published DateNov 2019
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