Autonomous AI and Autonomous Agents Market Dynamics, Trends,
And Forecasts to 2028

The report for 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.

Autonomous AI & autonomous agents are software programs
that can perform specific tasks without human intervention. They are designed
to use algorithms and machine learning to make decisions and improve their
performance over time. Autonomous AI is being developed and experimented with
for a variety of use cases, such as self-driving cars, medical diagnosis, and
robotics. Similarly, autonomous agents are being developed and experimented
with for a variety of use cases, such as automating customer service tasks,
managing inventory, optimizing manufacturing processes, and providing financial
advice. As autonomous agents continue to develop, they have the potential to
revolutionize a wide range of industries. Businesses that can successfully
adopt autonomous agents are likely to gain a competitive advantage.

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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.

The cloud segment is projected to grow at the highest CAGR
during the forecast period

Cloud deployment for Autonomous AI and agents involves
hosting the AI and agent systems on remote servers provided by cloud service
providers. This deployment approach offers numerous advantages for
organizations seeking to leverage the power of AI and agents. Cloud deployment
enables easy access to computational resources, data storage, and specialized
AI services, eliminating the need for organizations to manage their own
infrastructure. It provides scalability, allowing systems to handle varying
workloads and accommodate growth. With cloud deployment, organizations can
rapidly deploy AI and agent systems, reducing time to market and enabling quick
prototyping and experimentation.

Machine Learning Technology is expected to account for the
largest market size in 2023

Machine learning (ML) is a foundational technology for the
development of autonomous AI and agents. It is a subset of artificial
intelligence that focuses on designing algorithms and models that allow
computers to learn from data and make predictions or decisions without explicit
programming. In the context of autonomous AI and agents, ML enables these
systems to analyze large volumes of data, recognize patterns, and adapt their
behavior based on the insights gained from the data. ML plays a pivotal role in
enabling the autonomy and intelligence of AI and agents, allowing them to
learn, reason, and act independently based on the data they encounter.

Top Companies in the market

Major vendors in the global Autonomous AI and Autonomous
Agents market 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), Attri (US).

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