The Artificial intelligence in transportation market is expected to grow at a significant CAGR in the period from 2021 to 2027. Government rules for car safety are becoming more stringent, as is the use of advanced driver assistance systems (ADAS) and the development of autonomous vehicles, all of which are contributing to the market’s growth.
Deep learning is widely utilised in the creation of self-driving vehicles, which must perceive, think, drive, and learn. The final phase is “learn,” in which deep learning will be crucial for fully autonomous cars. Many businesses are investing in the development of self-driving trucks that utilise deep learning technology to analyse images, recognise voice, and analyse data.
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Company Profile
- Daimler AG
- Volvo Group
- Scania Group
- PACCAR Inc.
- Robert Bosch GmbH
- Valeo SA
- NVIDIA Corp.
- Intel Corp.
- Continental AG.
Market – Segmentation
By Application
- Autonomous Trucks
- HMI in Trucks
- Semi-Autonomous Trucks
By Offering
- Hardware
- Neuromorphic
- Von Neumann
- Software
- Platforms
- Solutions
By Machine Learning Technology
- Deep Learning
- Computer Vision
- Context Awareness
- Natural Language Processing
By Process
- Signal Recognition
- Object Recognition
- Data Mining
Scope of the Report
The research study analyzes the Global Artificial intelligence in transportation Market industry from 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions, considering multiple aspects some of which are listed below as:
Recent Developments
o Market Overview and growth analysis
o Import and Export Overview
o Volume Analysis
o Current Market Trends and Future Outlook
o Market Opportunistic and Attractive Investment Segment
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Geographic Coverage
o North America Market Size and/or Volume
o Latin America Market Size and/or Volume
o Europe Market Size and/or Volume
o Asia-Pacific Market Size and/or Volume
o Rest of the world Market Size and/or Volume
Key Questions Answered by Artificial intelligence in transportation Market Report
1. What was the Artificial intelligence in transportation Market size in 2019 and 2020; what are the estimated growth trends and market forecast (2021-2027).
2. What will be the CAGR of the Artificial intelligence in transportation Market during the forecast period (2021-2027)?
3. Which segments (product type/applications/end-user) were most attractive for investments in 2021? How these segments are expected to grow during the forecast period (2021-2027).
4. Which manufacturer/vendor/players in the Artificial intelligence in transportation Market was the market leader in 2020?
5. Overview on the existing product portfolio, products in the pipeline, and strategic initiatives taken by key vendors in the market.
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