Autonomous AI and Autonomous Agents Market Size - By Component, By Deployment Model, By Enterprise Size, By Technology, By Industry Vertical, Growth Forecast, 2025 – 2034

Autonomous AI and Autonomous Agents Market Size

The global autonomous AI and autonomous agents market size was valued at USD 6.8 billion in 2024 and is estimated to register a CAGR of 30.3% between 2025 and 2034. The growth of the market can be attributed to the increasing adoption of AI among businesses across the globe. Organizations leverage AI, from customer service chatbots to sophisticated analytics, to boost efficiency and foster innovation. Recognizing the transformative power of autonomous AI and agents in streamlining processes, refining decision-making, and offering tailored solutions, companies are rapidly adopting the technology, leading to market expansion.
 

According to Statista, in 2023, the global AI adoption rate in businesses reached 55% with robotic process automation and computer vision being the most adopted AI capabilities among businesses. 
 

Governments across the world are investing in AI technologies to enhance public services, improve infrastructure, and support digital transformation. For instance, in March 2024, the Indian government approved a USD 1.25 billion investment in AI projects. This funding will enhance computing infrastructure, develop large language models, support AI startups, and create AI applications for the public sector.
 

In addition to public sector investments, private companies are heavily funding AI research and development to stay competitive. This investment drive innovation and create a supportive ecosystem for the development of AI solutions. Industries including defense, healthcare, and smart city initiatives are particularly benefit from these investments, which speedup the development and deployment of autonomous systems.
 

Autonomous AI and Autonomous Agents Market Trends

The combination of autonomous AI with the IoT and edge computing is transforming industries by enabling quick, decentralized decision-making. In areas such as smart cities, autonomous vehicles, and industrial automation, AI agents work with IoT sensors to monitor conditions, collect data, and act on that data immediately. Edge computing helps make these decisions to be made closer to the data source, improving response times and reducing delays, which is important for industries such as  transportation, healthcare, and manufacturing.
 

Businesses are increasingly using AI-driven virtual assistants, chatbots, and customer service agents to improve customer experiences. Sectors such as retail, banking, and telecommunications use these tools for 24/7 support, automating inquiries, and providing personalized recommendations. As customers expect faster and more personalized service, AI agents have become crucial for staying competitive and enhancing customer satisfaction. Companies operating in the market are launching innovative solutions to help users enhance customer service.
 

For instance, in August 2024, Kapture CX, a GenAI-powered CX automation platform, launched Self Serve 2.0. This AI-driven self-service solution aims to transform customer service by using advanced technology for highly personalized experiences. With this launch, Kapture CX intends to address the limitations of traditional self-service options in the market.
 

Explainable AI (XAI) is becoming important in the autonomous AI and autonomous agents market. As AI systems become more complex, there is a growing need for models that are transparent and easy to understand. This helps users trust AI's decisions. This is especially important in fields such as healthcare, finance, and critical infrastructure, where knowing rationale behind AI decisions is essential for compliance, accountability, and user trust. For instance, in September 2023, Temenos launched a solution using generative AI to automatically classify customer’s banking transactions. This tool innovative tool enhances improves bank security by efficiently managing financial transactions.
 

Safety and reliability issues challenge the autonomous AI and agents market. As these technologies become more common in various industries, ensuring they operate reliably, minimizing errors, and addressing risks is crucial. Balancing innovation with safety measures is essential to build public and industry trust, which will help in the wider adoption of autonomous AI and agents.
 

Autonomous AI and Autonomous Agents Market Analysis

Based on deployment model, the market is divided into on-premises and cloud. In 2024, the cloud segment held a market share of over 65% and is expected to cross USD 90 billion by 2034. Cloud-based deployment helps organizations manage large amounts of data efficiently. For businesses looking to use autonomous AI, the cloud offers the flexibility to quickly scale operations as needed, which is crucial in industries like retail, healthcare, and finance. The cloud allows businesses to use AI without needing a big upfront investment in infrastructure. It also makes it easier and cheaper to deploy AI solutions.
 

By using cloud platforms, companies can avoid the costs of on-site hardware and IT staff, while speeding up the time it takes to bring AI solutions to market. This is especially important for startups and SMEs that want to adopt AI without spending a lot of money upfront. This is expected to drive the growth of segment during the forecast period.
 

Based on industry vertical, the autonomous AI and autonomous agents market is categorized into retail & e-commerce, BFSI, IT & telecom, manufacturing, healthcare & lifesciences, government & defense, automotive, energy & power and others. The BFSI segment held a market share of around 23% in 2024. In the BFSI sector, automating customer service is a major trend. AI-powered chatbots and virtual assistants now offer personalized financial advice, handle customer inquiries, and automate routine tasks. This boosts customer satisfaction and also cuts operational costs, driving the sector's adoption of AI automation.
 

Additionally, BFSI uses AI agents for fraud detection, anti-money laundering, and risk management. These AI systems analyze large datasets in real-time to spot irregular patterns, flag suspicious activities, and automate compliance checks, enhancing security and operational efficiency.
 

North America autonomous AI and autonomous agents market accounted for 40% of the revenue share in 2024. The region has presence of many startups and established tech companies advancing AI innovation. These companies are improving autonomous AI technologies and creating solutions that enhance operational efficiency across various industries. Additionally, the U.S. government is increasing support for AI development through funding, regulations, and national AI strategies. This boosts public and private investments in autonomous systems and speeds up their adoption in key sectors such as defense and healthcare.
 

Europe's focus on privacy and data protection, such as GDPR, drives the development of AI systems that prioritize compliance, security, and ethical practices. This encourages innovation in AI tools that help organizations stay compliant while automating operations. Europe's strong industrial base, especially in manufacturing and automotive sectors, is quickly adopting autonomous AI solutions to improve operational efficiency, predictive maintenance, and autonomous vehicle technology.
 

Asia Pacific is rapidly urbanizing, with countries such as China, India, and Japan heavily investing in smart city projects. Autonomous AI systems are key to these projects, offering solutions for traffic management, public safety, and urban planning, driving market growth. Governments in region are actively promoting AI adoption through national AI strategies, research funding, and supportive policies. These efforts are speeding up the use of autonomous agents in important sectors including manufacturing, healthcare, and transportation.
 

Autonomous AI and Autonomous Agents Market Share

Google and Microsoft hold a market share of over 10% in the autonomous AI and autonomous agents industry. Google is heavily investing in adding AI to its main products such as Google Cloud, Google Search, Google Assistant, and Waymo, its self-driving car division. These AI integrations aim to improve user experiences, provide better analytics, and make cloud services more efficient. Google Cloud's AI and machine learning features help businesses automate tasks, enhance predictions, and optimize data processing. This helps the company in strengthening its market position.
 

Microsoft is focusing on adding autonomous AI to its enterprise tools. For instance, Microsoft Azure offers AI-powered cloud services for industries such as finance, healthcare, and retail. Azure AI helps businesses build, train, and deploy AI solutions at scale. Additionally, Microsoft’s Power Automate uses AI to automate workflows, making business operations simpler and more productive.
 

Autonomous AI and Autonomous Agents Market Companies

Major players operating in the autonomous AI and autonomous agents industry include:

• Deepmind
• Google
• IBM
• Microsoft
• Nvidia
• OpenAI
• Oracle
• Salesforce
• SAP SE
• SAS Institute
   

Autonomous AI and Autonomous Agents Industry News

• In November 2024, OpenAI announced to introduce its own AI agent in January 2025, marking a major step forward in autonomous AI. The system named Operator, will automate complex computer tasks with minimal human supervision and will work mainly through web browsers and can handle various tasks independently, from writing code to managing travel plans. This represents a move from traditional AI models to truly autonomous systems.
   
• In October 2024, Microsoft announced an expansion of its AI-driven Copilot platform by adding new autonomous agent features to transform business processes. The update includes a public preview of these capabilities in Copilot Studio, set to launch next month. According to the compant, these agents help businesses streamline functions such as sales, finance, and supply chain management. With these new tools, companies can create agents that range from simple task assistants to fully autonomous systems managing entire business processes.
   

The autonomous AI and autonomous agents market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue ($Bn) from 2021 to 2034, for the following segments:

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Market, By Component

• Hardware
• Software
• Services

Market, By Deployment Model

• On-premises
• Cloud

Market, By Enterprise Size

• Large enterprises
• SME

Market, By Technology

• Machine learning
• NLP
• Context awareness
• Computer vision

Market, By Industry Vertical

• Retail & e-commerce
• BFSI
• IT & telecom
• Manufacturing
• Healthcare & lifesciences
• Government & defense
• Automotive
• Energy & power
• Others

The above information is provided for the following regions and countries:

• North America
  • U.S.
  • Canada
• Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Nordics
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Southeast Asia 
• Latin America
  • Brazil
  • Mexico
  • Argentina 
• MEA
  • UAE
  • South Africa
  • Saudi Arabia