The growth and adoption of the autonomous AI and autonomous agents’ market are driven by a number of market factors that affect it. These factors can be divided into technology development, increasing need for automation and efficiency; regulatory concerns and intelligent decision making.
Another important factor in the market for the autonomous AI and autonomous agents is the growing demand for automation and efficiency. A vast range of industries wish to automate their processes, diminish human intervention as well as enhance operational effectiveness.
The systems of autonomous AI and autonomous agents provide solutions that can work independently from humans, which makes them more efficient in handling tasks. Such system as automated cars, unmanned drones or robots may perform those actions fast accurately without any errors providing improved productivity gains through cost reductions. This in turns forces organizations to adopt self-driving or autopiloted cars which have become common across other sectors.
Moreover, a third vital factor is regulation considerations affecting the market of Autonomous AI & Autonomous Agents. As a result of increased prevalence of automated systems there is an urgent need for regulations to ensure safety , ethical use and accountability. This has led to governments together with other regulatory bodies coming up with frameworks meant to address issues around data privacy laws ,liability aspects among others. These regulations create an environment that can foster acceptance and deployment of these systems because they help in stipulating responsible usage. Therefore, regulatory perspectives play an important role in shaping the market segment while also gaining public trust towards autonomous vehicles.
Autonomous AI takes advantage of advanced algorithms and machine learning tools to analyze data, predict outcomes and make better decisions. The desire for intelligent decision-making pushes autonomous AI and autonomous agents adoption in industries that require quick and accurate decision-making processes.
Report Attribute/Metric | Details |
---|---|
Market Size Value In 2022 | USD 4.2 Billion |
Market Size Value In 2023 | USD 6.03 Billion |
Growth Rate | 43.80% (2023-2032) |
Autonomous AI and Autonomous Agents Market Size was valued at USD 4.2 Billion in 2022. The autonomous AI and autonomous agents market industry is projected to grow from USD 6.03 Billion in 2023 to USD 110.42 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 43.80% during the forecast period (2023 - 2032). Increasing artificial intelligence (AI) and machine learning (ML) breakthroughs is the key market drivers enhancing the market growth.
Figure1: Autonomous AI and Autonomous Agents Market, 2018 - 2032 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
The quick development of AI and ML technologies is driving the market CAGR for autonomous AI and autonomous agents. The functionality and applications of autonomous systems are being radically altered by these technological developments, opening up new prospects and opportunities in a variety of industries. Deep learning and neural network-based AI algorithms in particular have improved over time in processing and comprehending complex datasets. By making more complex judgments based on real-time input, autonomous AI systems and agents can demonstrate a higher level of autonomy and flexibility. Consider autonomous vehicles as an example. These cutting-edge algorithms can carefully examine sensor data, anticipate potential hazards, and quickly execute decisions to assure safety, thereby boosting consumer confidence and encouraging further adoption.
Additionally, improvements in AI and ML have paved the way for enhanced learning and ongoing improvement in autonomous systems. Autonomous agents can learn over time and improve their performance by using techniques like transfer learning and reinforcement learning. This is especially useful in fields like robotics and industrial automation, where systems can absorb knowledge from prior experiences, adapt to changing circumstances, and optimize their operations. Since these systems become more efficient and streamlined over time, they offer businesses strong incentives to engage in automation, which stimulates the market.
Additionally, advancements in AI and ML are enabling autonomous systems to be more customized and offer more specialized experiences. In order to provide more individualized ideas and services, virtual assistants, for instance, are now able to interpret and adapt to specific user preferences and behavioral patterns. In addition to enhancing the user experience, this higher level of personalization also fosters more user involvement, which eventually encourages increased use and acceptance of autonomous AI systems.
Additionally, advances in AI and ML are spurring innovation in autonomous AI hardware. The power and energy efficiency of specialized hardware parts, such as Graphics Processing Units (GPUs) and Application-Specific Integrated Circuits (ASICs), designed specifically to handle AI workloads, are steadily increasing. In areas like autonomous vehicles, where energy conservation and computational aptitude are essential success factors, this empowerment enables autonomous systems to carry out complex computations in real-time while preserving energy. The potential for autonomous AI and agents to revolutionize industries, improve operational efficiency, and elevate user experiences thus continues to expand with the ongoing evolution and exploration in the fields of AI and ML, solidifying their status as a significant technology in the years to come. Thus, driving the Web3 in E-Commerce & Retail market revenue.
The Autonomous AI and Autonomous Agents Market segmentation, based on offering includes hardware, software, cloud, on-premises, and services. In the global market for autonomous AI and autonomous agents, the software category led. This is because different autonomous AI agents are need more and more sophisticated software algorithms.
The Autonomous AI and Autonomous Agents Market segmentation, based on technology, includes computer vision, natural language processing, machine learning, and context awareness. A sizeable portion of the market's income was created by the computer vision segment. One of the main development drivers is the expanding usage of computer vision in various sectors. To improve automation, quality control, and safety, industries including manufacturing, healthcare, retail, and autonomous cars are incorporating computer vision technology.
Figure 2: Autonomous AI and Autonomous Agents Market, by Distribution channel, 2022 & 2032 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
The Autonomous AI and Autonomous Agents Market segmentation, based on vertical, includes BFSI, e-commerce and retail, telecommunications, manufacturing, health and life sciences, government and defense, media and entertainment, and other industries. In 2022, the BFSI category dominated the market. This is because consumers are demanding more individualized financial services. By examining unique financial profiles, tastes, and habits, AI-driven autonomous agents can provide individualized recommendations and offers.
By region, the study provides the market insights into North America, Europe, Asia-Pacific and Rest of the World. The North America autonomous AI and autonomous agents market dominated this market in 2022 (45.80%). This is due to the region's increasing desire for automation, better customer service, and superior data analytics. Additionally, the availability of talent pools and tech hubs in this area is anticipated to boost market expansion. Further, the U.S. autonomous AI and autonomous agents market held the largest market share, and the Canada autonomous AI and autonomous agents market was the fastest growing market in the North America region.
Further, the major countries studied in the market report are The U.S., Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 3: AUTONOMOUS AI AND AUTONOMOUS AGENTS MARKET SHARE BY REGION 2022 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Europe autonomous AI and autonomous agents market accounts for the second-largest market share. This is because artificial intelligence and machine learning research and development are receiving more attention. Further, the German autonomous AI and autonomous agents market held the largest market share, and the UK autonomous AI and autonomous agents market was the fastest growing market in the European region
The Asia-Pacific autonomous AI and autonomous agents market is expected to grow at the fastest CAGR from 2023 to 2032. This is a result of the area's quick economic expansion and urbanization. Moreover, China’s autonomous AI and autonomous agents market held the largest market share, and the Indian autonomous AI and autonomous agents market was the fastest growing market in the Asia-Pacific region.
Leading market players are investing heavily in research and development in order to expand their product lines, which will help the Autonomous AI and Autonomous Agents market, grow even more. Market participants are also undertaking a variety of strategic activities to expand their global footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, autonomous AI and autonomous agents industry must offer cost-effective items.
Manufacturing locally to minimize operational costs is one of the key business tactics used by manufacturers in the global autonomous AI and autonomous agents industry to benefit clients and increase the market sector. In recent years, the autonomous AI and autonomous agents industry has offered some of the most significant advantages to medicine. Major players in the autonomous AI and autonomous agents market, including OneTrust (US), TrustArc (US), Securiti (US), BigID (US), Exterro (US), SAP (Germany), IBM (US), Collibra (US), DataGuard (Germany), LogicGate (US), Truyo (US), Segment (US), Spirion (US), Didomi (France), SureCloud (UK), DataGrail (US), Egnyte (US), WireWheel (US), Data Privacy Manager (UK), SAI360 (US), Straits Interactive (Singapore), Corporater (Norway), Transcend (US), Ketch (US), Secuvy (US), Clarip (US), DPOrganizer (UK), MineOS (Israel), Osano (Ireland), PrivacyEngine (Ireland), and others, are attempting to increase market demand by investing in research and development operations.
SAP is committed to enabling all businesses and sectors to transition into networks of smart, sustainable businesses. To manage fully integrated, AI-driven business processes within the cloud environment, this entails bringing together the required solutions, technology, and best practices. On April 1, 1972, SAP, with its corporate headquarters in Walldorf, Germany, was founded. As of June 30, 2023, the corporation, which is publicly traded on the Frankfurt and New York stock exchanges, employed 105,328 people worldwide throughout its facilities in around 156 different nationalities. SAP's continual top ranking as the #1 software company in the Dow Jones Sustainability Index, a tribute to its ongoing devotion over 16 years, serves as an example of its steadfast commitment to sustainability.
As a market pioneer in the data privacy space, TrustArc excels at speeding up and automating the creation of complete privacy management programs for multinational corporations. To negotiate the developing landscape of privacy requirements inside the continuously changing digital sphere, TrustArc offers a unique combination of a completely automated platform and a deep level of privacy experience. TrustArc helps clients globally in demonstrating compliance, reducing risks, and promoting trust. Its headquarters are in San Francisco, and it is supported by a global staff located in the Americas, Europe, and Asia.
In May 2024, a team of former Microsoft employees from Composabl introduced a No-Code User Interface (UI) platform. This platform allows engineers to directly instruct artificial intelligence (AI) agents to collaborate with them in real-world situations and incorporate their operational knowledge. Composabl agents possess the ability to make decisions using perception, similar to that of a human, and effectively handle intricate tasks, including robotics, drones, and various types of industrial machines. The No-Code UI enables users to generate advanced Autonomous Agents by providing basic instructions, similar to designing a co-pilot. However, unlike chatbots that utilize Large Language Models (LLMs) to generate paragraphs or images, Composable employs LLMs to generate skills and objectives for an agent capable of controlling equipment and processes in real-time. The engineer possesses the capacity to adjust these skills, import machine learning models, and utilize a wide range of numerous algorithms as fundamental components to construct and train their agent.
In June 2024, Autify, an artificial intelligence platform specializing in quality engineering, reported the successful completion of a Series B fundraising round, securing $13 million. Additionally, Autify unveiled the beta version of Zenes, an autonomous artificial intelligence agent designed for software quality assurance. The investment is led by Globis Capital Partners, a prominent venture capital fund headquartered in Tokyo, Japan, and LG Technology Ventures, the venture capital arm of LG Group based in Silicon Valley. LG Technology Ventures specializes on AI, enterprise software, and energy transformation. Autify intends to utilize the latest funds to enter the Korean market and enhance its partnership with LG CNS. Korea will be a significant market for Autify, alongside its existing primary markets in the US and Japan. Autify is a platform that enhances the performance of developer and QA teams and improves the process of software quality engineering. The company's objective is to augment individuals' creativity by leveraging AI and technology.
Hardware
Software
Cloud
On-premises
Services
Machine Learning
Natural Language Processing
Context Awareness
Computer Vision
BFSI
Retail and Ecommerce
Telecommunications
Manufacturing
Healthcare and Life Sciences
Government & Defense
Media & Entertainment
Others
U.S.
Canada
Germany
France
UK
Italy
Spain
Rest of Europe
China
Japan
India
Australia
South Korea
Australia
Rest of Asia-Pacific
Middle East
Africa
Latin America
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