Summary

Autonomous AI And Autonomous Agents Market Growth & Trends

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.

Autonomous AI And Autonomous Agents Market Report 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

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Table of Contents

Table of Contents

Chapter 1. Methodology And Scope
1.1. Research Methodology
1.2. Research Scope And Assumptions
1.3. Information Procurement
1.3.1. Purchased Database
1.3.2. Gvr's Internal Database
1.3.3. Secondary Sources & Third-Party Perspectives
1.3.4. Primary Research
1.4. Information Analysis
1.4.1. Data Analysis Models
1.5. Market Formulation & Data Visualization
1.6. Data Validation & Publishing
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segmental Outlook
2.3. Competitive Insights
Chapter 3. Market Variables, Trends, And Scope
3.1. Market Lineage
3.2. Industry Value ChAI n Analysis
3.3. Autonomous AI And Autonomous Agents Market - Market Dynamics
3.3.1. Market Driver Analysis
3.3.1.1. Growing Demand For AI - Enabled Applications Acts As A Catalyst For Autonomous AI And Autonomous Agents Market
3.3.1.2. Increasing Demand For Similar Computational Resources
3.3.2. Market Restraint Analysis
3.3.2.1. Limited Contextual Understanding And Adaptability
3.3.3. Industry Challenges
3.4. Business Environmental Tools Analysis: Autonomous AI And Autonomous Agents Market
3.4.1. Porter's Five Forces Analysis
3.4.1.1. BargAI ning Power Of Suppliers
3.4.1.2. BargAI ning Power Of Buyers
3.4.1.3. Threat Of Substitution
3.4.1.4. Threat Of New Entrants
3.4.1.5. Competitive Rivalry
3.4.2. Pestle Analysis
3.4.2.1. Political Landscape
3.4.2.2. Economic Landscape
3.4.2.3. Social Landscape
3.4.2.4. Technology Landscape
3.4.2.5. Environmental Landscape
3.4.2.6. Legal Landscape
3.5. Economic Mega Trend Analysis
Chapter 4. Autonomous AI And Autonomous Agents Market: Component Estimates & Trend Analysis
4.1. Autonomous AI And Autonomous Agents Market, By Component: Key Takeaways
4.2. Autonomous AI And Autonomous Agents Market: Component Movement Analysis, 2022 & 2030
4.3. Hardware
4.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
4.4. Software
4.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
4.5. Services
4.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 5. Autonomous AI And Autonomous Agents Market: Technology Estimates & Trend Analysis
5.1. Autonomous AI And Autonomous Agents Market, By Technology: Key Takeaways
5.2. Autonomous AI And Autonomous Agents Market: Technology Movement Analysis, 2022 & 2030
5.3. Machine Learning
5.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
5.4. NLP
5.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
5.5. Context Awareness
5.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
5.6. Computer Vision
5.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 6. Autonomous AI And Autonomous Agents Market: Deployment Estimates & Trend Analysis
6.1. Autonomous AI And Autonomous Agents Market, By Deployment: Key Takeaways
6.2. Autonomous AI And Autonomous Agents Market: Deployment Movement Analysis, 2022 & 2030
6.3. On-Premises
6.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
6.4. Cloud
6.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 7. Autonomous AI And Autonomous Agents Market: End-Use Industry Estimates & Trend Analysis
7.1. Autonomous AI And Autonomous Agents Market, By End-Use Industry: Key Takeaways
7.2. Autonomous AI And Autonomous Agents Market: End-Use Industry Movement Analysis, 2022 & 2030
7.3. Retail & E-commerce
7.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
7.4. BFSI
7.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
7.5. IT & Telecommunication
7.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
7.6. Manufacturing
7.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
7.7. Healthcare
7.7.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
7.8. Government
7.8.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
7.9. Others
7.9.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 8. Autonomous AI And Autonomous Agents Market: Regional Estimates & Trend Analysis
8.1. Autonomous AI And Autonomous Agents Market: Regional Movement Analysis, 2022 & 2030
8.2. North America
8.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.2.2. U.S.
8.2.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.2.3. Canada
8.2.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.3. Europe
8.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.3.2. Germany
8.3.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.3.3. France
8.3.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.3.4. Uk
8.3.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.4. Asia Pacific
8.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.4.2. China
8.4.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.4.3. Japan
8.4.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.4.4. India
8.4.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.4.5. South Korea
8.4.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.4.6. Australia
8.4.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.5. Latin America
8.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.5.2. Brazil
8.5.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.5.3. Mexico
8.5.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.6. Middle East & Africa
8.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.6.2. KSA
8.6.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.6.3. UAE
8.6.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.6.4. South Africa
8.6.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 9. Competitive Landscape
9.1. Company Categorization
9.2. Company Market Positioning
9.3. Company Heat Map Analysis
9.4. Strategy Mapping
9.4.1. Expansion
9.4.2. Mergers & Acquisition
9.4.3. Partnerships & Collaborations
9.4.4. New Product Launches
9.4.5. Research & Development
9.5. Company Profiles/Listing
9.5.1. Google
9.5.1.1. Overview
9.5.1.2. Financial Performance
9.5.1.3. Product Benchmarking
9.5.2. Ibm
9.5.2.1. Overview
9.5.2.2. Financial Performance
9.5.2.3. Product Benchmarking
9.5.3. Microsoft
9.5.3.1. Overview
9.5.3.2. Financial Performance
9.5.3.3. Product Benchmarking
9.5.4. Oracle
9.5.4.1. Overview
9.5.4.2. Financial Performance
9.5.4.3. Product Benchmarking
9.5.5. Waymo Llc
9.5.5.1. Overview
9.5.5.2. Financial Performance
9.5.5.3. Product Benchmarking
9.5.6. Deepmind
9.5.6.1. Overview
9.5.6.2. Financial Performance
9.5.6.3. Product Benchmarking
9.5.7. OpenAI
9.5.7.1. Overview
9.5.7.2. Financial Performance
9.5.7.3. Product Benchmarking
9.5.8. Salesforce
9.5.8.1. Overview
9.5.8.2. Financial Performance
9.5.8.3. Product Benchmarking
9.5.9. Sap Se
9.5.9.1. Overview
9.5.9.2. Financial Performance
9.5.9.3. Product Benchmarking
9.5.10. Nvidia Corporation
9.5.10.1. Overview
9.5.10.2. Financial Performance
9.5.10.3. Product Benchmarking