Automotive Artificial Intelligence Market Report: Growth Forecast and Key Insights-Carvi, German Autolabs, Raven.

The Automotive Artificial Intelligence Market report by DataM Intelligence provides insights into the latest trends and developments in the market. This report identifies the key growth opportunities in the market and provides recommendations for market participants to capitalize on these opportunities. Overall, the Automotive Artificial Intelligence market report is an essential resource for market participants who are looking to gain a comprehensive understanding of the market and identify opportunities for growth.

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Global Automotive Artificial Intelligence Market reached US$ 2.1 billion in 2023 and is expected to reach US$ 8.6 billion by 2031, growing with a CAGR of 24.1% during the forecast period 2024-2031.

The automotive artificial intelligence market focuses on AI-driven technologies that enhance vehicle performance, safety, and automation. It includes applications like autonomous driving, driver assistance systems, predictive maintenance, and in-car virtual assistants. By enabling real-time data analysis, decision-making, and enhanced user experiences, AI is reshaping the automotive industry, driving advancements in connectivity, energy efficiency, and vehicle intelligence.

Competitive Landscape

The section also contains information related to the new product launches, mergers, acquisitions, collaborations, etc., to give a clear understanding about the competitive landscape prevailing in the global market. With an emphasis on strategies there have been several primary developments done by major companies such as Carvi, German Autolabs, Raven, Argo AI, Deepscale, Cisco, Waymo, Microsoft Azure, Nvidia and Tesla.

Key Developments:

In May 2021, Didi Chuxing joined forces with Volvo Cars to advance autonomous vehicle development for DiDi's self-driving test fleet. The collaboration features Volvo's XC90 vehicles equipped with DiDi Gemini, an innovative self-driving hardware platform powered by NVIDIA DRIVE AGX Pegasus. These vehicles are designed to support DiDi's future robotaxi services.

In March 2021, BMW unveiled its next-generation infotainment system, iDrive 8, designed to act as a smart, intuitive digital companion for drivers. Powered by cutting-edge technologies like machine learning, natural language processing, AI cloud, and 5G, iDrive 8 made its debut in the BMW iX and i4, marking a new era of intelligent in-car experiences.

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Market Segments

The detailed segmentation offered in the report will help customers get a clear idea about the market segments and the factors that will drive segmental growth. The Automotive Artificial Intelligence market has been segmented

By Technology: Machine Learning & Deep Learning, Computer Vision, Natural Language Processing.

By Application: AI Driving Features, AI Cloud Services, AI Automotive Insurance, AI in Car Manufacturing.

Research Process

Both primary and secondary data sources have been used in the global Automotive Artificial Intelligence Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.

Regional Analysis for Automotive Artificial Intelligence Market:

⇥ North America (U.S., Canada, Mexico)

⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)

⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)

⇥ South America (Colombia, Brazil, Argentina, Rest of South America)

⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

**The full version of the report includes an in-depth analysis of emerging players and startups, which will provide valuable insights into the evolving market landscape and key strategies being adopted**

This Report Covers:

✔ Go-to-market Strategy.

✔ Neutral perspective on the market performance.

✔Development trends, competitive landscape analysis, supply side analysis, demand side analysis, year-on-year growth, competitive benchmarking, vendor identification, and other significant analysis, as well as development status.

✔Customized regional/country reports as per request and country level analysis.

✔ Potential & niche segments and regions exhibiting promising growth covered.

✔ Analysis of Market Size (historical and forecast), Total Addressable Market (TAM), Serviceable Available Market (SAM), Serviceable Obtainable Market (SOM), Market Growth, Technological Trends, Market Share, Market Dynamics, Competitive Landscape and Major Players (Innovators, Start-ups, Laggard, and Pioneer).

Chapter Outline

⏩ Market Overview: It contains five chapters, as well as information about the research scope, major manufacturers covered, market segments, Automotive Artificial Intelligence market segments, study objectives, and years considered.

⏩ Market Landscape: The competition in the Global Automotive Artificial Intelligence Market is evaluated here in terms of value, turnover, revenues, and market share by organization, as well as market rate, competitive landscape, and recent developments, transaction, growth, sale, and market shares of top companies.

⏩ Companies Profiles: The global Automotive Artificial Intelligence market's leading players are studied based on sales, main products, gross profit margin, revenue, price, and growth production.

⏩ Market Outlook by Region: The report goes through gross margin, sales, income, supply, market share, CAGR, and market size by region in this segment. North America, Europe, Asia Pacific, Middle East & Africa, and South America are among the regions and countries studied in depth in this study.

⏩ Market Segments: It contains the deep research study which interprets how different end-user/application/type segments contribute to the Automotive Artificial Intelligence Market.

⏩ Market Forecast: Production Side: In this part of the report, the authors have focused on production and production value forecast, key producers forecast, and production and production value forecast by type.

⏩ Research Findings: This section of the report showcases the findings and analysis of the report.

⏩ Conclusion: This portion of the report is the last section of the report where the conclusion of the research study is provided.

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Frequently asked questions:

➠ What is the global sales value, production value, consumption value, import and export of Automotive Artificial Intelligence market?

➠ Who are the global key manufacturers of the Automotive Artificial Intelligence Industry? How is their operating situation (capacity, production, sales, price, cost, gross, and revenue)?

➠ What are the Automotive Artificial Intelligence market opportunities and threats faced by the vendors in the global Automotive Artificial Intelligence Industry?

➠ Which application/end-user or product type may seek incremental growth prospects? What is the market share of each type and application?

➠ What focused approach and constraints are holding the Automotive Artificial Intelligence market?

➠ What are the different sales, marketing, and distribution channels in the global industry?

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