Artificial Intelligence

Data Annotation in the Autonomous Vehicle Sector: Market Estimation and Forecasts to 2026

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Dublin, June 12, 2020 (GLOBE NEWSWIRE) — The “Autonomous Vehicle Data Annotation Market Analysis” report has been added to ResearchAndMarkets.com’s offering.
With the massive advancement towards the development of autonomous driving systems, no one today denies or questions the practicality of driverless vehicles. However, these vehicles have reached the deployment stage only in restricted operation design domains (ODDs). The launch of Audi’s A8 (featured with level 3 functions) that reached the deployment stage in early 2019, had increased the confidence among the majority of OEMs and tier-1s; however, the level 4 and 5 vehicles still need enough time and testing to get on public roads.An analysis of the AI and Machine learning trend and penetration rate in Automotive application.Analysis of the sensor data annotation for ADAS and Autonomous application – Radar, Camera, LiDAR.Analysis of the techniques, and tools of Data Annotation in the Deep learning models of AVs.Analysis of the partnership ecosystem of OEMs with technology players.Analysis of the recent M&As in the annotation ecosystem and its impact on the market share of the leading players across the supply chain.Data Annotation types and trends – Manual Ground Truth and software automation.Data Annotation classification – Semantic annotation, 2D/3D cuboid bounding boxes, polyline and polygons, text and linguistic.Market share analysis, market size in terms of revenue for a period of 2020 to 2026, pricing analysis of annotation/ labeling data along with the varying cost structure with respect to companies.Competition assessment of major players – year of experience in the industry, products/techniques, solutions offered, pricing model, funding/investment, major customers, partners, suppliers, industry ranking.Key Questions AnsweredHow is data annotation impacting the Autonomous and connected mobility?Which are the major techniques and tools for data annotation?How are the AV industry preferences – Manual ground truth vs automation software tools?Which are the major tools/ software being currently used for sensor data annotation?Which OEMs/ Shuttle providers are leading the race of maximum number of travelled miles? And who is following?Data annotation and labelling solutions: Who supplies whom?How is the competition between the different annotation players? Which new entrants acquiring the market share? And what challenges they are facing?What strategies are the annotation data providers adopting to sustain in this race?Key Topics Covered:
1. Executive SummaryCompanies Mentioned
CMORE AutomotiveCogito TechScale AIMighty AIUnderstand.aiAnolyticsBasic AIAvidbeammCYCLOIDDeepen.aiWebtunix AISamasource, Inc.AppenLionbridge Technologies, Inc.Awakening VectorInfolks GroupOclaviDataloopFor more information about this report visit https://www.researchandmarkets.com/r/lyvn3oAbout ResearchAndMarkets.com
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