Autonomous AI and Autonomous Agents Market

The research methodology for the global Autonomous AI and Autonomous Agents market report involved the use of extensive secondary sources and directories, as well as various reputed open-source databases, to identify and collect information useful for this technical and market-oriented study. In-depth interviews were conducted with various primary respondents, including key opinion leaders, subject matter experts, high-level executives of multiple companies offering Autonomous AI and Autonomous Agents offerings, and industry consultants to obtain and verify critical qualitative and quantitative information, as well as assess the market prospects and industry trends.

Secondary Research

In the secondary research process, various secondary sources were referred to for identifying and collecting information for the study. The secondary sources included annual reports; press releases and investor presentations of companies; white papers, certified publications, and articles from recognized associations and government publishing sources.

The secondary research was mainly used to obtain the key information about the industry’s value chain, the market’s monetary chain, the overall pool of key players, market classification and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from both market and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides of the autonomous AI & autonomous agents market ecosystem were interviewed to obtain qualitative and quantitative information for this study. The primary sources from the supply side included industry experts, such as chief executive officers (CEOs), vice presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various vendors providing autonomous AI & autonomous agents offerings; associated service providers; and system integrators operating in the targeted regions. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

After the complete market engineering (including calculations for market statistics, market breakup, market size estimations, market forecast, and data triangulation), extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. Primary research was also undertaken to identify and validate the segmentation types; industry trends; key players; the competitive landscape of the market; and key market dynamics, such as drivers, restraints, opportunities, challenges, industry trends, and key strategies.

In the complete market engineering process, both the top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform the market estimation and market forecast for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to record the critical information/insights throughout the report.

The following is the breakup of primary profiles:

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

For making market estimates and forecasting the autonomous AI & autonomous agents market and the other dependent submarkets, top-down and bottom-up approaches were used. The bottom-up procedure was used to arrive at the overall market size of the global autonomous AI & autonomous agents market, using the revenue from the key companies and their offerings in the market. With data triangulation and validation through primary interviews, the exact value of the overall parent market size was determined and confirmed using this study. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segments.

In the top-down approach, an exhaustive list of all the vendors offering was autonomous AI & autonomous agents prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor’s offerings were evaluated based on the breadth of solution and service offerings, cloud type, and verticals. The aggregate of all the revenues of the companies was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets repository for validation.

In the bottom-up approach, the adoption rate of Autonomous AI and Autonomous Agents solutions and services among different end-users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of Autonomous AI and Autonomous Agents solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

All the possible parameters that affect the market covered in the research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The data is consolidated and added with detailed inputs and analysis from MarketsandMarkets.

• The pricing trend is assumed to vary over time.
• All the forecasts are made with the standard assumption that the accepted currency is USD.
• For the conversion of various currencies to USD, average historical exchange rates are used according to the year specified. For all the historical and current exchange rates required for calculations and currency conversions, the US Internal Revenue Service’s website is used.
• All the forecasts are made under the standard assumption that the globally accepted currency, USD, remains constant during the next five years.
• Vendor-side analysis: The market size estimates of associated solutions and services are factored in from the vendor side by assuming an average of licensing and subscription-based models of leading and innovative vendors.
• Demand/end-user analysis: End users operating in verticals across regions are analyzed in terms of market spending on Autonomous AI and Autonomous Agents solutions based on some of the key use cases. These factors for the Autonomous AI and Autonomous Agents tool industry per region are separately analyzed, and the average spending was extrapolated with an approximation based on assumed weightage. This factor is derived by averaging various market influencers, including recent developments, regulations, mergers and acquisitions, enterprise/SME adoption, startup ecosystem, IT spending, technology propensity and maturity, use cases, and the estimated number of organizations per region.

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

Autonomous AI and autonomous agents are related concepts in the field of AI that involve the ability of systems or entities to act independently, make decisions, and perform tasks without continuous human intervention.

Autonomous AI refers to the development and deployment of AI systems that can operate and make decisions on their own without requiring explicit instructions or constant supervision from humans. These AI systems are designed to analyze data, learn from their environment, and adapt their behavior to achieve specific goals or objectives. They possess the capability to perceive their surroundings, reason about the information they gather, and take action accordingly. Autonomous AI is often employed in various applications, including autonomous vehicles, robotics, and smart home devices.

On the other hand, autonomous agents are software entities or computer programs that can act autonomously within their environment to accomplish tasks or goals. These agents have their own set of capabilities, such as perception, reasoning, decision-making, and actuation, enabling them to interact with their surroundings and make independent choices. Autonomous agents can be designed to operate in diverse contexts, ranging from virtual environments like video games to real-world scenarios such as intelligent personal assistants or trading bots.

Key Stakeholders

• Research organizations
• Third-party service providers
• Technology providers
• Cloud services providers
• AI consulting companies
• Independent software vendors (ISVs)
• Service providers and distributors
• Application development vendors
• System integrators
• Consultants/consultancy/advisory firms
• Training and education service providers
• Support and maintenance service providers
• Managed service providers

Report Objectives

• To define, describe, and forecast the autonomous AI & autonomous agents market based on offering, technology, vertical, and region
• To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the market growth
• To analyze subsegments with respect to individual growth trends, prospects, and contributions to the total market
• To analyze opportunities in the market for stakeholders and provide the competitive landscape of the market
• To forecast the revenue of the market segments with respect to all the five major regions, namely, North America, Europe, Asia Pacific (APAC), Middle East & Africa (MEA), and Latin America
• To profile the key players and comprehensively analyze the recent developments and their positioning related to the autonomous AI & autonomous agents market.
• To analyze competitive developments, such as mergers & acquisitions, product developments, and research & development (R&D) activities, in the market
• To analyze the impact of recession across all the regions across the autonomous AI & autonomous agents market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

• Product matrix provides a detailed comparison of the product portfolio of each company

Geographic Analysis as per Feasibility

• Further breakup of the North American market for Autonomous AI and Autonomous Agents
• Further breakup of the European market for Autonomous AI and Autonomous Agents
• Further breakup of the Asia Pacific market for Autonomous AI and Autonomous Agents
• Further breakup of the Middle East & Africa market for Autonomous AI and Autonomous Agents
• Further breakup of the Latin America market for Autonomous AI and Autonomous Agents

Company Information

• Detailed analysis and profiling of additional market players (up to five)