Driving Innovation: Key Players in the Artificial Intelligence in Transportation Market 2023-2030
The artificial intelligence in transportation market has been steadily gaining momentum, with the 2021 market size reaching USD 2.1 billion. According to projections, the market is expected to grow at a Compound Annual Growth Rate (CAGR) of 16.9 percent during the forecast period. The key driver behind this growth is the increasing adoption of artificial intelligence technology in the manufacturing of autonomous vehicles. These vehicles utilize AI's real-time recognition capabilities, optimizing their performance and enhancing safety for passengers and drivers alike.
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One of the significant trends in the AI transportation market is the consolidation and partnerships among major players. Continental and NVIDIA joined forces in February 2018 to develop AI-driven self-driving vehicle systems using the NVIDIA DRIVE platform, aiming for a market introduction in 2021. Similarly, Scania partnered with Haylion Technologies to develop electrified, autonomous, connected bus solutions for public transportation, showcasing the industry's commitment to advancements in AI technology. However, despite the potential benefits, the existing infrastructure in the transportation sector does not fully support AI integration, making it rare in many regions globally. Governments and manufacturers are focusing on overcoming these challenges to harness the technology's potential for improved road safety and optimized transportation.
The COVID-19 pandemic posed obstacles to the market's growth, with disruptions in operations and a drop in demand for vehicles. The scarcity of raw materials and labor caused manufacturing units to halt production, impacting the industry's overall performance negatively.
Market Drivers:
1. Increased Rate of Road Accidents: The rising number of road accidents globally has fueled the demand for AI technology in transportation. AI's ability to minimize human errors has the potential to reduce accidents and fatalities significantly.
2. Truck Platooning: Truck platooning, enabled by AI technology, provides advanced features and better growth opportunities for the transportation sector. Stringent policies on carbon emissions will further drive the market's growth in this segment.
Market Restraints:
1. Lack of Favorable Infrastructure: The lack of infrastructure supporting AI in transportation is a hindrance to the market's growth. Manufacturers are focusing on developing vehicles that can efficiently integrate AI, but current deployments remain challenging.
Market Segments:
1. Autonomous Trucks: The development of the truck industry is expected to increase the demand for autonomous trucks, with a projected cost reduction of about 45%.
2. Software Category: The software segment, including predictive intelligence for supply chains, human-machine interface applications, and more, dominates the market and is expected to continue its significant share during the forecast period.
Regional Landscape:
1. North America: The North American market is expected to lead in revenue share due to increased purchasing power and road safety demands. Automation in supply chain and logistics will further drive market growth.
2. Asia Pacific: The Asia Pacific region will experience stable revenue growth with its strong economy and growing truck sales. China and Japan are leading adopters of AI technology in transportation in this region.
Competitive Landscape:
Key players in the artificial intelligence in transportation market include Continental (Germany), Bosch (Germany), NVIDIA (US), and Microsoft (US). Partnerships and collaborations among industry giants contribute to market growth and technological advancements.
Despite the COVID-19 challenges, the artificial intelligence in transportation market shows promising growth prospects driven by increased road safety demands, growing truck industry, and advancements in AI technology. As governments and manufacturers continue to invest in this sector, the market is poised for significant expansion in the coming years.
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