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.

COMPETITIVE LEADERSHIP MAPPING TERMINOLOGY

The Automotivi 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 Automotivi 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

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 AI market.

INNOVATORS

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 AI 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

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 AI 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 AI market.

EMERGING COMPANIES

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 AI market are Zoox Inc. (US), drive.ai (US), Nuro, Inc. (US), BRAIQ (US), Graphcore (UK), and FiveAI (UK).

TOP VENDORS
In Automotive Artificial Intelligence

  1. NVIDIA CORPORATION
    0 Reviews
    4.7
  2. ALPHABET INC.
    0 Reviews
    4.5
  3. INTEL CORPORATION
    0 Reviews
    4.5

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Automotive Artificial Intelligence Quadrant

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KEY BUYING CRITERIA

Product Maturity
Strategic Maturity
Most IMPORTANT
0.0
0.0
0.0
Breadth and Depth of Product Offerings
5.00
5.00
4.30
Product Features and Functionality
5.00
5.00
5.00
Focus on Product Innovation
5.00
5.00
5.00
Product Branding
5.00
4.35
4.30
Product Quality and Reliability
2.05
2.20
1.80
LEAST IMPORTANT LESS IMPORTANT

TOP VENDORS

  • This end-to-end approach leverages NVIDIA DriveWorks software and allows cars to receive over-the-air updates to add new features and capabilities throughout the life of a vehicle. The company invests mainly in R&D every year, with more than 20% of the overall revenue. NVIDIA, being ann important name in the AI market, has partnerships with various automotive companies such as Audi, Toyota, Tesla, Mercedes-Benz, Volvo, Honda, and BMW.

    BUYER
    VENDOR
    EXPERTS
    4.7
    MNM ANALYSTS
     
  • The company also provides Tensor Processing Unit (TPU), a custom ASIC built specifically for machine learning— and tailored for TensorFlow. The company invests mainly in R&D, which is almost 15% of the total revenue, to provide enhanced product features. In addition to this, the company is expanding its product line in the AI segment. Considering all these facts, the company has been rated very high for its product strategies.

    BUYER
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    EXPERTS
    4.5
    MNM ANALYSTS
     
  • The company has designed Deep Learning Inference Accelerator (DLIA), an integrated hardware, software frameworks and libraries such as Intel Math Kernel Library for Deep Neural Networks (MKL-DNN) and Caffe, which simplifies the neural-network acceleration for image processing applications. Intel has a strong and successful research and development (R&D) model. The company invests approximately 20% of its revenue in R&D every year. Strong and successful R&D model has allowed the company to maintain technology leadership. In addition, the company's strong focus on R&D and product innovation enabled it to enhance the appeal of its portfolio.

    BUYER
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    EXPERTS
    4.5
    MNM ANALYSTS
     
  • BUYER
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    4.3
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  • The chip provides advanced technology in image recognition and can accurately classify image data efficiently. The hardware can be deployed in mobile computing, IoT, robotics, autonomous cars, and high-performance computing (HPC). IBM’s offers hardware and AI platform, which are used in predictive maintenance, performance analysis, and prescriptive maintenance. Such a vast breadth of offering with continuous technological innovations and expanding the features makes the rating of IBM products strategy very high.

    BUYER
    VENDOR
    EXPERTS
    4.0
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  • Microsoft has a moderate number of AI-related offerings in the automotive segment. It invests around 12% of its revenue on R&D activities every year. Such a moderate portfolio, along with continuous technological advancements, is one of the reasons why Microsoft has a high rating for its product offerings.

    BUYER
    VENDOR
    EXPERTS
    4.0
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  • BUYER
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    3.7
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  • Qualcomm has significant engineering resources, including engineers with substantial expertise in broad range of technologies. The company's strong R&D has enabled it to win a number of patents. According to the company, it has the most widely and extensively licensed portfolio in the industry with over 285 licensees of all commercially deployed forms of CDMA and their derivatives require the use of Qualcomm patents. The company's robust R&D capabilities that enabled it to develop a strong patents portfolio offer technological leadership to Qualcomm over its peers. It will enable it to introduce new products in a timely manner and enhance its existing products. This would enhance the appeal of its products thus enabling it to effectively retain and gain new customers.

    BUYER
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    EXPERTS
    3.0
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    2.5
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    2.4
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  • Xilinx was the first company in the programmable logic device (PLD) industry to ship 45-nm high-volume, 28-nm, 20-nm and 16nm FPGA devices. Strong R&D has also enabled the company to add a number of new patents. At the end of 2016, the company held over 3,500 issued US patents and over 300 pending US patent applications. The company's continuous focus on R&D enables it to address the diverse and evolving needs of the PLD market.

    BUYER
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    EXPERTS
    2.4
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  • the company has low R&D investments, around 1% of its revenue every year. Due to this, it has been rated low on the product innovation factor. As a result of low R&D, the company has lower features compared to other companies. So, it has been rated low on the product features and functionality factor.

    BUYER
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    2.3
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    1.6
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