Autonomous AI and Autonomous Agents Market Size, Share with Focus on Emerging Technologies, Top Countries Data, Top Key Players Update, and Forecast 2028

Autonomous AI and Autonomous Agents Market Size, Share with Focus on Emerging Technologies, Top Countries Data, Top Key Players Update, and Forecast 2028
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 (US), H2O.ai (US), Genesys(US), Aerogility (UK), Kore.ai (US), Fetch.ai (UK), Automation Anywhere (US), Tecnotree (Finland), C3.ai (US), Helpshift (US), Algotive (US).
Autonomous AI and Autonomous Agents Market by Offering (Hardware, Software (Type (Computational Agents, Robotic Agents)) and Services), Technology (ML, NLP, Context Awareness, Computer Vision), Vertical and Region – Global Forecast to 2028

The Autonomous AI and Autonomous Agents Market is estimated to grow from USD 4.8 billion in 2023 to USD  28.5 billion by 2028, at a CAGR of 43.0% during the forecast period. The autonomous AI and agents market growth is driven by a number of factors, including the increased use of AI applications, the increased availability of parallel computational resources, and the advancement of autonomous AI driving and healthcare advancements. These technologies have the potential to revolutionize transportation systems and healthcare by making them safer, more efficient, and more accessible. However, there are also a number of challenges that need to be addressed before autonomous AI and agents can be widely adopted, such as ethical and legal concerns and privacy and security challenges.

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Services segment to account for higher CAGR during the forecast period

Services play a crucial role in the successful implementation and operation of Autonomous AI and agent systems. These services include consulting services, deployment and integration, training, and support and maintenance. Service providers in the Autonomous AI and agent domain aim to deliver value-added services that enable organizations to leverage the full potential of their AI systems. Services are tailored to the specific needs of organizations, promoting collaboration, knowledge transfer, and ongoing support to maximize the benefits derived from Autonomous AI and agent technologies.

Computational Agents is expected to hold the largest market size for the year 2023

Computational agents exist purely in digital environments and are driven by sophisticated algorithms and computational power. These agents harness the capabilities of AI and machine learning to analyze vast amounts of data, predict outcomes, optimize processes, and make autonomous decisions. Computational agents leverage advanced data analysis techniques, such as statistical modeling, pattern recognition, and deep learning, to uncover insights and patterns from complex datasets. Computational agents include software agents and artificial life agents, which demonstrate unique characteristics and capabilities.

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Key players operating in the Autonomous AI and Autonomous Agents market across the globe are 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 (US), H2O.ai (US), Genesys(US), Aerogility (UK), Kore.ai (US), Fetch.ai (UK), Automation Anywhere (US), Tecnotree (Finland), C3.ai (US), Helpshift (US), Algotive (US), CognosysAI (US), Level AI (US), Mobileye (Israel), Deeproute.ai (China), Cogito (US), Uber Technologies (US), and Attri (US). These vendors adopt different types of organic and inorganic growth strategies, such as product launches, partnerships and collaborations, and mergers and acquisitions, to expand their offerings in the Autonomous AI and Autonomous Agents market.

IBM (International Business Machines Corporation) is an American multinational technology and consulting corporation founded in 1911. The company’s global headquarters are in Armonk, New York, but it has a significant presence in several other cities across the United States. The company has a strong portfolio of products and services, and it is committed to helping customers develop and deploy autonomous AI and autonomous agent solutions that can help them improve their operations and make better decisions. IBM’s autonomous AI and autonomous agent solutions are based on several innovative technologies, including Watson Assistant, Watson Discovery, and Watson IoT Platform. The company has a strong presence in the Americas, Europe, the Middle East & Africa, and Asia Pacific, and clients in more than 175 countries.

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Waymo is an American autonomous driving technology company headquartered in Mountain View, California. It was founded in 2009 as the Google Self-Driving Car Project and became a subsidiary of Alphabet Inc. in 2016. Waymo offers various products and services centered around self-driving technology. Their primary focus is on developing and deploying autonomous vehicles for transportation and logistics. They have a fleet of self-driving cars that have undergone extensive testing on public roads, accumulating millions of autonomous miles. Waymo has also launched a ride-hailing service called Waymo One, allowing users to request rides in autonomous vehicles in select areas. Waymo’s self-driving technology is based on a combination of advanced sensors, artificial intelligence, and machine learning algorithms.

Amazon Web Services (AWS) is a subsidiary of Amazon.com and was launched in 2006 as a cloud computing and infrastructure service provider. AWS has a global presence, with data centres and regions in various locations around the world, including North America, South America, Europe, Asia Pacific, and the Middle East. AWS is one of the largest cloud computing companies in the world, offering a range of services and solutions that empower developers and organizations to build and deploy autonomous AI and autonomous agents. With software services like Amazon SageMaker, businesses can easily build and train custom machine learning models using popular frameworks like TensorFlow and Apache MX Net. AWS RoboMaker is a cloud service designed to facilitate the development, simulation, and deployment of robotic applications. Amazon Lex is another software service for building conversational interfaces, including chatbots and virtual assistants. AWS’s AI and ML services enable businesses to accelerate their innovation and unlock new opportunities by harnessing the power of cloud computing and artificial intelligence.

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