Global Autonomous Vehicles Market Size 2018- By Vehicle Type, Emerging Technology, Statistics, Company Profiles, Driving Force, and Challenges to 2022 – iCrowdNewswire
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Oct 12, 2018 12:52 PM ET

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Global Autonomous Vehicles Market Size 2018- By Vehicle Type, Emerging Technology, Statistics, Company Profiles, Driving Force, and Challenges to 2022

iCrowdNewswire - Oct 12, 2018

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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