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Report Information:

Release Date: August 2018
Number of Pages: 260
Number of Tables and Charts: 14

Report Overview:

The autonomous vehicle technology has been progressing with full speed. A huge sum has already been spent and much more in the pipeline to introduce driverless cars on roads. Currently, autonomous technology developers are racing to be the first to introduce the driverless technology. The first-move advantage is driving the speed towards L5 autonomy, which would open doors for new revenue streams. However, the key to the quick adoption of the technology lies beneath the safer technology. The legislation can make it harder for AVs to run without drivers and prolong the testing period further if the AVs is vulnerable to threats and jeopardising human lives.

In recent surveys, half of Americans think they would never buy a fully autonomous car. A number of accidents including a self-driving Uber vehicle that killed a pedestrian, which was the first ever death involved a fully autonomous vehicle, also impacted people views towards self-driving vehicles. We expect that initially fully autonomous vehicles would be used for ride-hailing purposes. However, ride-hailing companies are also facing some hurdles in key markets such as London, and recently in New York.

The global autonomous vehicle ecosystem has expanded significantly in recent years whereas both startup and leading technology corporations entered the market. We have seen some major M&As and partnerships recently across all the building blocks of the autonomous technology including data processing, sensors, connectivity, cybersecurity, mapping and algorithm.

Technology companies, such as Apple, Samsung, Google and Baidu have seen the same potential as car manufacturers and decided to invest in autonomous technology. Most of these companies partnered with automakers to speed up the development, but some are working stand alone.

Why this report is unique, and a must read for the autonomous vehicle market and automotive industry?

'Autonomous Vehicle Suppliers Market 2018: Trends, Developments and Competitive Landscape' report from Commodity Inside is a valuable resource necessary for examining the major suppliers for the autonomous vehicle market. The report scope encompasses mainly the major suppliers/distributors and their recent developments in the field of autonomous technology, SWOT analysis, opportunities, drivers and restraints, regulations and sizing the autonomous market. The report covers the following key aspects:

• Details analysis of top 25 suppliers in autonomous vehicles technology
• The overall market coverage in both volume and value terms
• Analysis of the autonomous vehicles future direction over the next ten years
• Discussion on market potential and opportunities
• Sales projections of autonomous vehicles by levels
• Major trends and developments
• Major drivers and restraints in the autonomous vehicle's market and short to long-term impacts
• SWOT analysis by company
• SWOT analysis of the suppliers landscape in the autonomous vehicles market
• Government regulations around the autonomous technology

Suppliers coverage::

• Apple
• Aptiv
• Aurora
• Baidu
• Bosch
• Cohda Wireless
• Continental
• Denso
• Hitachi
• Intel
• Mobileye
• Lyft
• Magna
• Microsoft
• Nvidia
• NXP
• Panasonic
• Samsung/Harman
• Toshiba
• Uber
• Valeo
• Visteon
• Waymo
• Zenuity
• ZF Friedrichshafen

Why our analyses are robust and authoritative?

• We constantly consult industry experts and incorporate their views in our analysis.
• We employ both quantitative and qualitative methods to derive robust analysis.
• All our forecast data were also supported by our proprietary econometric and excel based models.
• We are completely independent and represent our own views.

Table of Contents

Chapter 1- Executive summary
1.1 Market overview and forecasts of the autonomous vehicle's technology

Chapter 2- Introduction and Methodology
2.1 Explanation and background
2.2 Scope of the Study
2.3 Assumptions
2.4 Methodology

Chapter 3- Suppliers Landscape
3.1 Apple
3.1.1 Apple- Overview
3.1.2 Apple- Key Trends and Developments in the Autonomous Vehicle Technology
3.1.3 Apple- SWOT Analysis
3.2 Aptiv
3.2.1 Aptiv – Overview
3.2.2 Aptiv – Key Trends and Developments in the Autonomous Vehicle Technology
3.2.3 Aptiv – SWOT Analysis
3.3 Aurora
3.3.1 Aurora – Overview
3.3.2 Aurora – Key Trends and Developments in the Autonomous Vehicle Technology
3.3.3 Aurora – SWOT Analysis
3.4 Baidu
3.4.1 Baidu – Overview
3.4.2 Baidu – Key Trends and Developments in the Autonomous Vehicle Technology
3.4.3 Baidu – SWOT Analysis
3.5 Bosch
3.5.1 Bosch – Overview
3.5.2 Bosch – Key Trends and Developments in the Autonomous Vehicle Technology
3.5.3 Bosch – SWOT Analysis
3.6 Cohda Wireless
3.6.1 Cohda Wireless- Overview
3.6.2 Cohda Wireless- Key Trends and Developments in the Autonomous Vehicle Technology
3.6.3 Cohda Wireless- SWOT Analysis
3.7 Continental
3.7.1 Continental – Overview
3.7.2 Continental – Key Trends and Developments in the Autonomous Vehicle Technology
3.7.3 Continental – SWOT Analysis
3.8 Denso
3.8.1 Denso – Overview
3.8.2 Denso – Key Trends and Developments in the Autonomous Vehicle Technology
3.8.3 Denso – SWOT Analysis
3.9 Hitachi
3.9.1 Hitachi – Overview
3.9.2 Hitachi – Key Trends and Developments in the Autonomous Vehicle Technology
3.9.3 Hitachi – SWOT Analysis
3.10 Intel
3.10.1 Intel – Overview
3.10.2 Intel – Key Trends and Developments in the Autonomous Vehicle Technology
3.10.3 Intel – SWOT Analysis
3.11 Mobileye
3.11.1 Mobileye – Overview
3.11.2 Mobileye – Key Trends and Developments in the Autonomous Vehicle Technology
3.11.3 Mobileye – SWOT Analysis
3.12 Lyft
3.12.1 Lyft – Overview
3.12.2 Lyft – Key Trends and Developments in the Autonomous Vehicle Technology
3.12.3 Lyft – SWOT Analysis
3.13 Magna
3.13.1 Magna – Overview
3.13.2 Magna – Key Trends and Developments in the Autonomous Vehicle Technology
3.13.3 Magna – SWOT Analysis
3.14 Microsoft
3.14.1 Microsoft – Overview
3.14.2 Microsoft – Key Trends and Developments in the Autonomous Vehicle Technology
3.14.3 Microsoft – SWOT Analysis
3.15 Nvidia
3.15.1 Nvidia – Overview
3.15.2 Nvidia – Key Trends and Developments in the Autonomous Vehicle Technology
3.15.3 Nvidia – SWOT Analysis
3.16 NXP
3.16.1 NXP – Overview
3.16.2 NXP – Key Trends and Developments in the Autonomous Vehicle Technology
3.16.3 NXP – SWOT Analysis
3.17 Panasonic
3.17.1 Panasonic – Overview
3.17.2 Panasonic – Key Trends and Developments in the Autonomous Vehicle Technology
3.17.3 Panasonic – SWOT Analysis
3.18 Samsung
3.18.1 Samsung – Overview
3.18.2 Samsung – Key Trends and Developments in the Autonomous Vehicle Technology
3.18.3 Samsung – SWOT Analysis
3.19 Toshiba
3.19.1 Toshiba – Overview
3.19.2 Toshiba – Key Trends and Developments in the Autonomous Vehicle Technology
3.19.3 Toshiba – SWOT Analysis
3.20 Uber
3.20.1 Uber – Overview
3.20.2 Uber – Key Trends and Developments in the Autonomous Vehicle Technology
3.20.3 Uber – SWOT Analysis
3.21 Valeo
3.21.1 Valeo – Overview
3.21.2 Valeo – Key Trends and Developments in the Autonomous Vehicle Technology
3.21.3 Valeo – SWOT Analysis
3.22 Visteon
3.22.1 Visteon – Overview
3.22.2 Visteon – Key Trends and Developments in the Autonomous Vehicle Technology
3.22.3 Visteon – SWOT Analysis
3.23 Waymo
3.23.1 Waymo – Overview
3.23.2 Waymo – Key Trends and Developments in the Autonomous Vehicle Technology
3.23.3 Waymo – SWOT Analysis
3.24 Zenuity
3.24.1 Zenuity – Overview
3.24.2 Zenuity – Key Trends and Developments in the Autonomous Vehicle Technology
3.24.3 Zenuity – SWOT Analysis
3.25 ZF Friedrichshafen
3.25.1 ZF Friedrichshafen – Overview
3.25.2 ZF Friedrichshafen – Key Trends and Developments in the Autonomous Vehicle Technology
3.25.3 ZF Friedrichshafen – SWOT Analysis

Chapter 4- SWOT Analysis of the Autonomous Vehicle Suppliers Market
4.1 Strengths
4.2 Weaknesses
4.3 Opportunities
4.4 Threats

Chapter 5- Trends, Developments and Challenges 

Chapter 6- Conclusions

List of Tables:

Table 1.1: Autonomous vehicles forecasts by region 2019-2028 (millions units)
Table 1.2: Autonomous vehicle forecasts by L3, L4 and L5 2019-2028 (million units)
Table 1.3: Autonomous vehicle shared mobility market forecasts by L3, L4 and L5 2019-2028 ($ billions)

List of Figures:

Figure 1.1: Autonomous vehicle technology timeline
Figure 1.2: Autonomous vehicle forecasts by L3, L4 and L5 2019-2028 (million units)
Figure 1.3: Autonomous vehicle shared mobility market forecasts by L3, L4 and L5 2019-2028($ billions)
Figure 1.4: Market size of the autonomous vehicles by private and commercial ownership 2028 (% share)
Figure 1.5: Penetration rates of autonomous vehicles by region 2019-2028 (%)
Figure 1.6: Global Competitive Structure 2018
Figure 2.1: Autonomous vehicles ecosystem
Figure 2.2: Key parts of the autonomous vehicle technology
Figure 2.3: Methodology for the autonomous vehicles market assessment
Figure 4.1: SWOT analysis of the global autonomous vehicle market
Figure 5.1 Impact matrix of the key forces in the autonomous vehicle market

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