Global Automotive Artificial Intelligence (AI) Market 2022-2028

SKU ID :TNV-11838096 | Published Date: 09-Mar-2018 | No. of pages: 121
Table of Contents PART 01: EXECUTIVE SUMMARY PART 02: SCOPE OF THE REPORT PART 03: RESEARCH METHODOLOGY PART 04: INTRODUCTION Market outline PART 05: MARKET LANDSCAPE Market ecosystem Market characteristics Market segmentation analysis PART 06: MARKET SIZING Market definition Market sizing 2017 Market size and forecast 2017-2022 PART 07: FIVE FORCES ANALYSIS Bargaining power of buyers Bargaining power of suppliers Threat of new entrants Threat of substitutes Threat of rivalry Market condition PART 08: MARKET SEGMENTATION BY APPLICATION Segmentation by application Comparison by application HMI – Market size and forecast 2017-2022 ADAS applications– Market size and forecast 2017-2022 Autonomous vehicle applications (qualitative) Market opportunity by application 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 Infotainment systems powered by automotive AI Development of brain-to-vehicle technology Development of autonomous fleet of cab and parcel delivery services IoT integration powered by AI technology for automotive Increased funding for R&D of autonomous vehicles PART 14: VENDOR LANDSCAPE Overview Landscape disruption PART 15: VENDOR ANALYSIS Vendors covered Vendor classification Market positioning of vendors Alphabet TomTom Bosch HARMAN International Delphi* NVIDIA PART 16: APPENDIX List of abbreviations
• Alphabet • Bosch • Delphi* • HARMAN International • NVIDIA • TomTom
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