The concept of self-driving vehicles has been around for a long period of time. Artificial intelligence is now being used to realize self-driving cars as data generated from sensors such as includes LIDAR, video camera, position estimators, and distance sensors helps the automobile identify the surrounding environment and evaluate the contextual implications. Vehicles are equipped with AI systems in order to provide improved safety and convenience features, which are designed to work in conjunction with the automated driving capabilities of the existing cars.
The Automotive Artificial Intelligence Market vendors are placed into 4 categories based on their performance and reviews in each criterion: “visionary leaders,” “innovators,” “dynamic differentiators,” and “emerging companies". Among all the Automotive Artificial Intelligence Market vendors, the top 25 have been evaluated, including NVIDIA Inc. (US), Intel Corporation (US), Alphabet Inc. (US), IBM Corporation (US), and Baidu Inc. (China) and other players.
Visionary leaders are the leading market players in terms of new developments such as product launches, innovative technologies, and adoption of growth strategies. This quadrant receives high scores for the most evaluation criteria. They have a strong service portfolio, a robust market presence, and effective business strategies across the world. Visionary leaders primarily focus on acquiring the leading market position through their strong financial capabilities and well-established brand equity. NVIDIA Corporation (US), IBM Corporation (US), Intel Corporation (US), Microsoft Corporation (US), Alphabet Inc. (US), Nuance Communications, Inc. (US), and Baidu Inc. (China) are the major visionary leaders for the Automotive Artificial Intelligence market.
Innovators demonstrate substantial product innovations compared with their competitors. They have a focused service portfolio. However, they do not have effective growth strategies for their overall business, and their geographical presence is low. Major innovators in the Automotive Artificial Intelligence market include Argo AI, LLC (US), AImotive (Hungary), Nauto Inc. (US), nuTonomy (US), BrainChip Holdings Ltd. (US), and NeuroControls Co. Ltd. (South Korea).
Dynamic differentiators are established vendors with effective business strategies and market presence. However, they have a weak service portfolio. They focus on a specific type of technology related to the product. Many companies in the Automotive Artificial Intelligence market are largely dependent on their competitive R&D activities. Most of the dynamic players are classified under tier 1 and 2 companies that have presence in various regions worldwide. Xilinx, Inc. (US), Harman International Industries, Inc. (US), Qualcomm Inc. (US), ARM Holdings PLC (UK), General Vision, Inc. (US), and Advanced Micro Devices Inc. (US) are a few key dynamic differentiators in the Automotive Artificial Intelligence.
Emerging companies are the new players that provide value to diverse groups globally with a large group of suppliers, system integrators, end-users, and manufacturers that lead to the evolution of a new player. Some emerging companies in the Automotive Artificial Intelligence market are Zoox Inc. (US), drive.ai (US), Nuro, Inc. (US), BRAIQ (US), Graphcore (UK), and FiveAI (UK).
Company Vision vs Annual Goal (Strategy)
Effectiveness of Organic Growth Strategy
Current revenue, revenue growth (YoY) No. of new clients and No. of Patents
Channel Strategy and Fit
Direct Presence - North America
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Direct Presence - Middle East and Africa
Direct Presence - Latin America
Direct Presence - Europe
Direct Presence - Asia-Pacific
Channel Partners - North America
Channel Partners - Middle East and Africa
Channel Partners - Latin America
Channel Partners - Europe
Channel Partners - Asia-Pacific
Productivity and Cost Efficiencies
Revenue and Cost per Employee (In Range)
Breadth and Depth of Product Offerings
Variants of products and services as per different applications
Product Features and Functionality
Expandability of product and service across different applications
ToolsVisual Computing | Natural Language Processing | Machine Learning | Deep Learning | Cognitive Computing |
Solutions OfferedTraffic Congestion | Simulator Systems | Route Mapping/Signaling System | Risk Identification | Onboard Diagnostic System | GNSS | Driver Assistance and Safety Systems | Car-To-Cloud Intelligence | Autonomous Driving | Advanced Mapping Systems |
Core FeaturesReliability Monitoring | In Vehicle Infotainment | Integrated Traffic Management System | Gesture Control Systems | Facial Recognition | Collision Management System | Autonomous Vehicle Testing | Autonomous vehicle platform | Adaptive Cruise Controls |
Focus on Product Innovation
Target audience and positioning of product & services
Product Quality and Reliability
Accuracy rate of product offered and type of support
SupportUser Forums | Technical Support | Software Support | IT Forums | DGX Systems Support | Developer Forums |
DeploymentOn-Premise | Hybrid | Cloud |