Autonomous AI And Autonomous Agents Industry

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.

Gather more insights about the market drivers, restrains and growth of the Global Autonomous AI And Autonomous Agents market

Autonomous AI And Autonomous Agents Market Segments Highlights:

• Based on component, the software segment led the market in 2022. This is due to the increasing demand from e-commerce to healthcare to customer service, the need for VAS and chatbots is on the rise
• Based on technology, the machine learning segment led the market in 2022. This growth is attributed to the autonomous agents typically implemented using machine learning techniques such as reinforcement learning. Agents receive information from their environment, such as sensor data, camera images, sensor readings, etc., and then process the input data using machine learning algorithms
• Based on deployment, the cloud segment led the market with a revenue share of over 52.0% in 2022. Using autonomous AI and autonomous agents in combination with cloud deployment, you can create a variety of AI-powered applications and services that take advantage of cloud computing’s scalability and flexibility
• Based on end-use industry, the BFSI segment led the market with a revenue share of over 21.0% in 2022. The terms autonomous AI and autonomous agents are used to describe the use of cutting-edge artificial intelligence (AI) and automation (automation) technologies in the banking, financial services, and insurance (BFSI) industry

Autonomous AI And Autonomous Agents Market Report Segmentation

Grand View Research has segmented the global autonomous AI and autonomous agents market based on component, technology, deployment, end-use industry, and region:

Autonomous AI & Autonomous Agents Component Outlook (Revenue, USD Billion, 2017 - 2030)

• Hardware
• Software
• Services

Autonomous AI & Autonomous Agents Technology Outlook (Revenue, USD Billion, 2017 - 2030)

• Machine Learning
• NLP
• Context Awareness
• Computer Vision

Autonomous AI & Autonomous Agents Deployment Outlook (Revenue, USD Billion, 2017 - 2030)

• On-premises
• Cloud

Autonomous AI & Autonomous Agents End-use Industry Outlook (Revenue, USD Billion, 2017 - 2030)

• Retail & E-commerce
• BFSI
• IT & Telecommunication
• Manufacturing
• Healthcare & Lifesciences
• Government & Defense
• Others

Autonomous AI & Autonomous Agents Regional Outlook (Revenue, USD Billion, 2017 - 2030)

• North America
  • US
  • Canada
• Europe
  • UK
  • Germany
  • France
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
• Latin America
  • Brazil
  • Mexico
• MEA
  • Kingdom of Saudi Arabia
  • UAE
  • South Africa

Key Autonomous AI And Autonomous Agents Company Insights

• Google
• IBM
• Microsoft
• Oracle
• Waymo LLC
• Deepmind
• OpenAI
• Salesforce
• SAP SE
• Nvidia Corporation

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