The Autonomous Vehicles market will grow at a CAGR of close to 42% by 2022.
This market research report presents a comprehensive analysis of the global autonomous vehicles market based on vehicle type such as PVs and CVs. The report also provides an analysis of the market based on geographic regions such as the Americas, APAC, and EMEA.
Since past few decades, BMW AG, Toyota, Tesla and General Motors and many others, have started enhancing their product offering in order to attract more and more customers. Then again, several prominent information technology companies like Google & Intel are also focusing on teaming up with some of the leading vehicle manufacturing companies across the globe owing to jointly conduct research & development activities.
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Moreover, global vehicle manufacturers across the globe are witnessing a shift from traditional to autonomous or self-driving because of rising government initiatives in many developed as well as developing economies. Additionally, autonomous cars can aid reducing traffic congestions, spurring their adoption over the forecast period (2018-2022).
Furthermore, integration of autonomous vehicles with commercial vehicles will further boost the global autonomous market especially in mining & agricultural sectors.
Technological revolution like artificial intelligence (AI) will play a vital role in autonomous vehicle market globally. Also, the automotive giants along with technical vendors are investing in AI to flourish in the market.
In addition, regional segmentation study shows that North America acquires the largest market share trailed by Europe. Also, China, India and Japan regions of Asia-Pacific are leading countries in the global autonomous vehicles market. On the other hand, market has been segmented by different product types such as hardware, software, sensors, services and types of autonomous vehicles. Software segment among these contribute towards highest market share due to mounting AI implementation in the vehicles.
The competitive landscape of global vehicles market will now be a new source of income inflow for the value chain companies, service, security, automation, manufactures and connectivity as well as sensor suppliers. Moreover, with large number of new entrants in the market there has been growth in partnerships, mergers as well as acquisition strategies among the value chain vendors.
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Some Point from Table of Content:
PART 01: EXECUTIVE SUMMARY
PART 02: SCOPE OF THE REPORT
PART 03: RESEARCH METHODOLOGY
PART 04: INTRODUCTION
Market outline
Timeline of autonomous vehicles – Technological perspective
PART 05: MARKET LANDSCAPE
Market ecosystem
Market characteristics
Market segmentation analysis
Value chain analysis
Product life cycle
PART 06: MARKET SIZING
PART 07: FIVE FORCES ANALYSIS
PART 08: MARKET SEGMENTATION BY VEHICLE TYPE
Segmentation by vehicle type
Comparison by vehicle type
PVs – Market size and forecast 2017-2022
CVs – Market size and forecast 2017-2022
Market opportunity by vehicle type
PART 09: CUSTOMER LANDSCAPE
PART 10: REGIONAL LANDSCAPE
Geographical segmentation
Regional comparison
Americas – Market size and forecast 2017-2022
EMEA – Market size and forecast 2017-2022
APAC – Market size and forecast 2017-2022
Key leading countries
Market opportunity
PART 11: DECISION FRAMEWORK
PART 12: DRIVERS AND CHALLENGES
Market drivers
Market challenges
PART 13: MARKET TRENDS
Growing development and introduction of HD maps for autonomous vehicles
Increasing implementation of vehicle platooning
OTA updates for automotive software
Rising development of autonomous fleet of cab and parcel delivery services
Increasing IoT integration powered by AI technology in automotive industry
Increased funding for R&D of autonomous vehicles
PART 14: VENDOR LANDSCAPE
Overview
Landscape disruption
Competitive landscape
PART 15: VENDOR ANALYSIS
Vendors covered
Vendor classification
Market positioning of vendors
Alphabet
Delphi*
Tesla
Intel
Ford Motor
Daimler
PART 16: JOINT DEVELOPMENT PLATFORM ALLIANCES
The GENIVI platform
CSLP platform by Delphi and Mobileye
iNext Open autonomy platform by BMW, Intel, and Mobileye
Wind River Systems (an Intel company) and Ricardo
ITTIA, Green Hills Software, INTEGRITY Security Services, and Crank Software
Machine vision platform by Nirenberg Neuroscience and Ford Motor
Baidu Brain driving system by Baidu and BMW
Audi Piloted Driving by Audi and SDS Company
PART 17: APPENDIX
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