Autonomous Vehicle market is projected to grow at a CAGR of 22.7% by 2034: Visiongain


Visiongain has published a new report entitled Autonomous Vehicle Market Report 2024-2034: Forecasts by Component (Hardware, Software), by Vehicle Type (Passenger Vehicles, Commercial Vehicles, Special Purpose Vehicles), by Technology (Sensors and Perception Systems, Computing and Processing Units, Connectivity Solutions, Software Platforms), by Level of Autonomy (Level 1: Driver Assistance, Level 2: Partial Automation, Level 3: Conditional Automation, Level 4: High Automation, Level 5: Full Automation), by System (Adaptive Cruise Control (ACC), Driver Monitoring System (DMS), Forward Collision Warning (FCW), Lane Departure Warning (LDW), Pedestrian Detection System (PDS), Other) AND Regional and Leading National Market Analysis PLUS Analysis of Leading Companies AND COVID-19 Impact and Recovery Pattern Analysis.

The global autonomous vehicle market was valued at US$35.4 billion in 2023 and is projected to grow at a CAGR of 22.7% during the forecast period 2024-2034.

Advancements in Artificial Intelligence and Machine Learning

The development of autonomous vehicles is heavily reliant on advancements in artificial intelligence (AI) and machine learning (ML) technologies. AI algorithms enable vehicles to perceive their environment, make decisions, and navigate safely without human intervention. Machine learning algorithms allow autonomous vehicles to learn from real-world data and improve their performance over time. For example, companies like Waymo and Tesla use AI and ML algorithms to train their autonomous driving systems on large datasets of driving scenarios, enabling their vehicles to navigate complex environments with high levels of accuracy and safety.

Technological Innovation in Sensor Technologies

Sensor technologies play a crucial role in enabling autonomous vehicles to perceive their surroundings and make informed decisions. Sensors such as LiDAR (Light Detection and Ranging), radar, cameras, and ultrasonic sensors provide essential data inputs to autonomous driving systems, allowing vehicles to detect obstacles, pedestrians, and other vehicles in their vicinity. Advances in sensor technologies, including improvements in resolution, range, and reliability, are driving the development of more capable and reliable autonomous vehicles. For instance, companies like Velodyne and Luminar are developing next-generation LiDAR sensors with increased range and resolution, enhancing the perception capabilities of autonomous vehicles in various weather and lighting conditions.

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How has COVID-19 had a significant negative impact on the Autonomous Vehicle Market?

The COVID-19 pandemic has significantly impacted the autonomous vehicle market, both in terms of short-term disruptions and long-term implications. In the short term, lockdowns, travel restrictions, and economic slowdowns led to a decline in demand for autonomous vehicles as manufacturing plants were temporarily shut down, supply chains were disrupted, and consumer spending decreased. Many companies in the autonomous vehicle sector faced challenges such as delays in testing and deployment schedules, reduced funding, and workforce disruptions due to remote work and safety protocols.

However, the pandemic also accelerated certain trends within the autonomous vehicle market. With the increased focus on hygiene and safety, there has been growing interest in autonomous delivery vehicles for contactless delivery of goods and services. Additionally, the shift towards remote work highlighted the potential for autonomous vehicles in last-mile transportation and mobility solutions, particularly in urban areas where public transportation systems were strained or limited.

How will this Report Benefit you?

Visiongain’s 414-page report provides 127 tables and 211 charts/graphs. Our new study is suitable for anyone requiring commercial, in-depth analyses for the global autonomous vehicle market, along with detailed segment analysis in the market. Our new study will help you evaluate the overall global and regional market for Autonomous Vehicle. Get financial analysis of the overall market and different segments including component, vehicle type, technology, level of autonomy, and system and capture higher market share. We believe that there are strong opportunities in this fast-growing autonomous vehicle market. See how to use the existing and upcoming opportunities in this market to gain revenue benefits in the near future. Moreover, the report will help you to improve your strategic decision-making, allowing you to frame growth strategies, reinforce the analysis of other market players, and maximise the productivity of the company.

What are the Current Market Drivers?

Growth of the Logistics and Transportation Industry

The logistics and transportation industry is experiencing significant growth and transformation, driven by the rise of e-commerce, global trade, and supply chain optimization. Autonomous vehicles offer the potential to revolutionize logistics operations by enabling autonomous delivery services, truck platooning, and last-mile delivery solutions. Companies like Amazon, UPS, and DHL are investing in autonomous delivery fleets and drone delivery technologies to streamline logistics operations and reduce delivery times. Autonomous trucks and drones can navigate autonomously through traffic and congested urban areas, delivering goods efficiently and cost-effectively, thereby driving the adoption of autonomous vehicles in the logistics and transportation industry.

Improvements in Vehicle Connectivity and Communication

Advancements in vehicle connectivity and communication technologies are facilitating the development and deployment of autonomous vehicles. Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication systems enable autonomous vehicles to exchange data with other vehicles and roadside infrastructure, enhancing situational awareness and safety. 5G networks and dedicated short-range communication (DSRC) protocols provide high-speed, low-latency connectivity for autonomous vehicles, enabling real-time data exchange and remote vehicle management. Companies like Qualcomm and Nokia are developing V2X communication solutions to support the connectivity requirements of autonomous vehicles, enabling seamless integration into existing transportation networks.

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Where are the Market Opportunities?

Increased Focus on Safety and Risk Mitigation

Safety is a paramount concern in the development and deployment of autonomous vehicles, driving investments in safety-critical technologies and risk mitigation strategies. Autonomous driving systems employ redundant sensors, fail-safe mechanisms, and advanced algorithms to ensure safe operation and minimize the risk of accidents. Simulation and testing platforms enable developers to evaluate the safety and performance of autonomous vehicles in virtual environments, identifying potential hazards and edge cases before deployment. Regulatory agencies and industry stakeholders collaborate to establish safety standards and best practices for autonomous vehicle development and operation, fostering consumer trust and confidence in autonomous driving technologies.

Consumer Demand for Convenience and Mobility

Consumer demand for convenience, comfort, and mobility is a key driver of the autonomous vehicle market. Autonomous vehicles offer the promise of hands-free, stress-free transportation, allowing passengers to relax, work, or engage in leisure activities during their journeys. The convenience and flexibility of autonomous mobility solutions appeal to a wide range of consumers, including commuters, families, and tourists, driving adoption and market growth. Companies like Cruise and Waymo are focusing on user experience design and human-machine interaction to create intuitive and user-friendly autonomous driving experiences, catering to the evolving needs and preferences of consumers.

Competitive Landscape

The major players operating in the autonomous vehicle market are Aisin Corporation, AutoX Technologies Inc, Denso Corporation, Einride AB, Ford Motor Company, General Motors Company, Hyundai Mobis, Infineon Technologies AG, Mercedes-Benz Group AG, Mobileye Global Inc., Nuro, Inc., NVIDIA Corporation, Tesla, Inc, Toyota Motor Corporation, Volkswagen AG. These major players operating in this market have adopted various strategies comprising M&A, investment in R&D, collaborations, partnerships, regional business expansion, and new product launch.

Recent Developments

  • 09 April 2024, Google Cloud and Mercedes-Benz have expanded their strategic cooperation, with Google Cloud's Vertex AI platform serving as the vehicle's hub for AI and generative AI (gen AI) technology. Mercedes plans to integrate cutting-edge e-commerce features, such as a new intelligent sales assistant driven by artificial intelligence and search and recommendation capabilities comparable to those found on Google, into its online store.
  • 19 Oct 2023, Together with Cruise, General Motors' autonomous driving division, Honda and General Motors have established a driverless ride-hailing business in Japan. Tokyo, the biggest city in Japan, will be the company's ride-sharing destination with the Cruise Origin driverless vehicle.

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Visiongain is one of the fastest-growing and most innovative independent market intelligence providers around, the company publishes hundreds of market research reports which it adds to its extensive portfolio each year. These reports offer in-depth analysis across 18 industries worldwide. The reports, which cover 10-year forecasts, are hundreds of pages long, with in-depth market analysis and valuable competitive intelligence data. Visiongain works across a range of vertical markets with a lot of synergies. These markets include automotive, aviation, chemicals, cyber, defence, energy, food & drink, materials, packaging, pharmaceutical and utilities sectors. Our customised and syndicated market research reports offer a bespoke piece of market intelligence customised to your very own business needs.

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