PUBLISHER: Grand View Research | PRODUCT CODE: 1376117
PUBLISHER: Grand View Research | PRODUCT CODE: 1376117
The global autonomous AI and autonomous agents market size is expected to reach USD 70.53 billion by 2030, registering a CAGR of 42.8% from 2023 to 2030, according to a new report by Grand View Research, Inc.. Context awareness technology is an essential part of autonomous AI and agents. Context awareness refers to a system's ability to collect and process information about its environment and use it to make decisions. It can be accomplished through sensors, data mining, and machine learning. This rapid growth in the market is driven by the increasing integration of context awareness technology, which enables these systems to gather and process environmental data and adapt and respond intelligently, making them invaluable across various industries.
The main features of context awareness technology are sensory input, and sensors (such as cameras, microphones, and GPS) used to collect information about the environment. Second, distinction, data fusion is the process of combining and analyzing data from different sources to get a better understanding of the context. Third is the current status of the environment, which recognizes, and interprets the current situation or the current state of the environment activation process. Fourth and the last one is adapting the behavior and actions of the system based on the context to achieve its goals effectively. Artificial intelligence (AI) is at the core of self-driving vehicles. Self-driving cars rely on sensors like cameras, radar, and lidar, as well as GPS and high-performance onboard computers to see the world around them, make decisions, and navigate safely without the need for human input. In this context, autonomous agents are the components of software and hardware that control various functions of a vehicle, such as steering, acceleration, braking, etc.
Nowadays, many cars are fitted with sophisticated ADAS that include autonomous agents. Features such as adaptive cruise control (ACC), lane-keep assist (LKA), and AEB (automatic emergency braking) improve driver comfort and safety. A connected vehicle network is a network of autonomous agents in vehicles that can communicate with one another and with infrastructure. Connected vehicles can be used to manage traffic, optimize routes, and share road conditions information to improve safety and efficiency.Autonomous AI helps manage autonomous vehicle fleets for ride-sharing and delivery services, as well as public transportation. Autonomous agents manage the dispatch, routing, and maintenance of vehicles. Urban Mobility Autonomous AI and agents play an important role in the development of autonomous taxi and shuttle services. These services are expected to revolutionize urban mobility by offering on-demand, affordable transportation options.