Autonomous AI and Autonomous Agents Market Size-By Component (Hardware, Software, Services), Technology (Machine Learning, NLP, Context Awareness, Computer Vision), Deployment Model (On-Premises, Cloud), Industry Vertical & Global Forecast, 2023-2032

Description

List of Tables

Autonomous AI and Autonomous Agents Market size is estimated to register a CAGR of over 36.5% between 2023 and 2032, owing to the rising complexity of tasks and the need for efficiency across various industries. Businesses are leveraging autonomous agents to streamline operations, reduce human intervention, and enhance overall productivity. As these technologies become more sophisticated, industries ranging from manufacturing to customer service are incorporating autonomous AI to perform tasks autonomously.

The advancements in machine learning and deep learning algorithms enable autonomous systems to adapt, learn, and make decisions independently, fostering a higher degree of autonomy and efficiency. In October 2023, Cellarity collaborated with the Chan Zuckerberg Initiative to advance new machine learning algorithms for single-cell analysis. The continuous refinement of these algorithms, coupled with the ability to handle vast datasets, empowers autonomous agents to navigate complex environments and perform intricate tasks with precision.

Autonomous AI and autonomous agents industry is segmented based on component, deployment model, technology, industry vertical and region.

Hardware segment is anticipated to witness substantial growth through 2032, favored by the evolution and innovation in hardware technologies, such as powerful processors and specialized chips. As hardware capabilities advance, autonomous agents process complex algorithms and data in real-time, enabling quicker decision-making and enhancing overall system performance.

BFSI segment is anticipated to observe a significant CAGR during 2023 and 2032, driven by the growing emphasis on efficiency, customer experience, and risk management. Autonomous AI and agents offer transformative solutions for tasks such as fraud detection, customer service, and data analysis, enabling the BFSI industry to enhance operational efficiency and provide more personalized services. With the growing complexity of financial transactions and the need for real-time decision-making, autonomous AI helps to optimize processes, improve security measures, and elevate the overall customer experience.

Europe autonomous AI and autonomous agents industry share will record impressive growth over 2023-2032, attributed to stringent regulatory frameworks and a focus on data privacy and security. The region's commitment to sustainability and innovation fosters the integration of autonomous agents across various industries, from smart cities to manufacturing, to enhance energy efficiency and operational sustainability. The collaborative initiatives between governments, research institutions, and businesses further accelerate the development and deployment of autonomous AI, bolstering the regional market growth.

Product Code: 7401

Chapter 1 Methodology & Scope

1.1 Market scope & definition
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
  - 1.4.2.1 Paid sources
  - 1.4.2.2 Public sources

Chapter 2 Executive Summary

2.1 Autonomous AI and autonomous agents market 360 degree synopsis, 2018 - 2032
2.2 Business trends
- 2.2.1 Total Addressable Market (TAM), 2023 - 2032
2.3 Regional trends
2.4 Component trends
2.5 Deployment model trends
2.6 Technology trends
2.7 Industry vertical trends

Chapter 3 Autonomous AI and Autonomous Agents Industry Insights

3.1 Impact of COVID-19
3.2 Industry ecosystem analysis
3.3 Technology & innovation landscape
3.4 Patent analysis
3.5 Key news and initiatives
- 3.5.1 Partnership/Collaboration
- 3.5.2 Merger/Acquisition
- 3.5.3 Investment
- 3.5.4 Product launch & innovation
3.6 Regulatory landscape
3.7 Impact forces
- 3.7.1 Growth drivers
  - 3.7.1.1 Increasing global demand for automation and efficiency
  - 3.7.1.2 Growing advancements in AI and Machine Learning (ML) technologies
  - 3.7.1.3 Increasing adoption of cloud computing
  - 3.7.1.4 Rising demand for autonomous AI and autonomous agents in the manufacturing sector
  - 3.7.1.5 Surge in government support for AI research & development
- 3.7.2 Industry pitfalls & challenges
  - 3.7.2.1 Safety and reliability concerns
  - 3.7.2.2 Data security and privacy
3.8 Growth potential analysis
3.9 Porter's analysis
3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2022

4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of major market players, 2022
- 4.3.1 Google
- 4.3.2 IBM
- 4.3.3 Microsoft
- 4.3.4 Oracle Corporation
- 4.3.5 SAP SE
- 4.3.6 Waymo LLC
- 4.3.7 OpenAI
4.4 Competitive positioning matrix, 2022
4.5 Strategic outlook matrix, 2022

Chapter 5 Autonomous AI and Autonomous Agents Market Estimates & Forecast, By Component (Revenue)

5.1 Key trends, by component
5.2 Hardware
5.3 Software
5.4 Services

Chapter 6 Autonomous AI and Autonomous Agents Market Estimates & Forecast, By Deployment model (Revenue)

6.1 Key trends, by deployment model
6.2 On-Premises
6.3 Cloud

Chapter 7 Autonomous AI and Autonomous Agents Market Estimates & Forecast, By Technology (Revenue)

7.1 Key trends, by technology
7.2 Machine learning
7.3 NLP
7.4 Context Awareness
7.5 Computer Vision

Chapter 8 Autonomous AI and Autonomous Agents Market Estimates & Forecast, By Industry vertical (Revenue)

8.1 Key trends, by industry vertical
8.2 BFSI
8.3 Healthcare
8.4 Retail & E-Commerce
8.5 IT & Telecom
8.6 Manufacturing
8.7 Government & Defense
8.8 Others

Chapter 9 Autonomous AI and Autonomous Agents Market Estimates & Forecast, By Region (Revenue)

9.1 Key trends, by region
9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
9.3 Europe
- 9.3.1 UK
- 9.3.2 Germany
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.3.6 Nordics
9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 India
- 9.4.3 Japan
- 9.4.4 South Korea
- 9.4.5 Australia
- 9.4.6 Southeast Asia
9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Argentina
9.6 MEA
- 9.6.1 South Africa
- 9.6.2 UAE
- 9.6.3 Saudi Arabia

Chapter 10 Company Profiles

10.1 Aerogility
10.2 AgentGPT
10.3 Amazon Web Services, Inc.
10.4 Baidu
10.5 Deepmind
10.6 Fetch.ai
10.7 Genesys
10.8 Google
10.9 H20.ai
10.10 IBM
10.11 Microsoft
10.12 Nvidia Corporation
10.13 OpenAI
10.14 Oracle
10.15 Rezolve AI Limited
10.16 Salesforce
10.17 SAP SE
10.18 SAS Institute Inc.
10.19 ServiceNow
10.20 Waymo LLC