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Autonomous AI and Autonomous Agents Market Size in 2023 To 2029 | IBM (US), AWS (US), Microsoft (US),Oracle (US), Google (US),Waymo LLC (US), DeepMind (UK), OpenAI (US), Salesforce (US), SAP SE(Germany), NVIDIA Corporation (US), Baidu( China), ServiceNow

07-18-2023 02:01 PM CET | IT, New Media & Software

Press release from: ReportsnReports

The market for autonomous AI and autonomous agents is expected to witness significant growth, projected to reach USD 28.5 billion by 2028, with a CAGR of 43.0% during the forecast period. Autonomous AI and autonomous agents are integral concepts in the field of artificial intelligence, emphasizing the ability of systems or entities to operate independently, make decisions, and perform tasks without continuous human intervention.

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Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as IBM (US), Microsoft (US), Google (US), AWS(US) and NVIDIA (US)among others in the Autonomous AI and Autonomous Agents market.

Within this market, the software segment is anticipated to hold the largest market size throughout the forecast period. Software components play a crucial role in enabling the functionality and intelligence of autonomous AI agents, including robotic agents and computational agents. These software components are tailored to different types of agents and provide the necessary capabilities for autonomous AI agents to operate autonomously. They facilitate perception of the environment, reasoning, decision-making, and execution of actions to accomplish tasks and achieve objectives.

The software segment's prominence in the market highlights its essential role in powering autonomous AI and autonomous agents. As the adoption and deployment of autonomous AI systems continue to expand across various industries and sectors, the demand for software components that enable autonomous functionality is expected to drive the growth of this segment.

During the forecast period, computer vision technology is expected to register the highest Compound Annual Growth Rate (CAGR) in the market for Autonomous AI and Autonomous Agents. Computer vision is a foundational technology that enables autonomous AI and agents to perceive and understand visual information from their environment. By leveraging computer vision algorithms, these systems can process images or video streams, identify objects, recognize patterns, and extract meaningful features. This technology is particularly crucial in applications like autonomous vehicles, where computer vision allows for the detection of pedestrians, vehicles, and traffic signs, enabling informed decision-making and safe navigation.

Among the services offered in the Autonomous AI and Autonomous Agents market, the consulting segment is projected to account for the largest market size during the forecast period. Consulting services play a vital role in helping organizations navigate the complexities of AI implementation and adoption. These services provide expert guidance, strategic advice, and actionable insights to assist organizations in effectively leveraging AI technologies. Consulting services support organizations in conducting feasibility studies, assessing data readiness, identifying suitable AI solutions, and defining implementation plans. By partnering with consulting firms, organizations can optimize their AI strategies and ensure successful integration of autonomous AI and agents into their operations.

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The market study on Autonomous AI and Autonomous Agents provides a comprehensive analysis of the market, encompassing various segments such as offering, technology, vertical, and region. The study aims to estimate the market size and growth potential within each segment.

The offering segment analyzes the different products, solutions, and services provided by vendors in the market. It evaluates the market size and growth opportunities for each offering type.

The technology segment focuses on the various technologies employed in Autonomous AI and Autonomous Agents, including computer vision, natural language processing, machine learning, and others. It examines the market size and growth prospects for each technology.

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