Industry: Service & Software
Published Date: 2025-09-30
Pages: 135 Pages
Report ld: 4811905
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AI Agent Builders Software Market Size(US$)

CAGR 2025-2031
6.7%
Market Size,2031
USD 1,131
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global AI Agent Builders Software market is projected to grow from US$ 723 million in 2024 to US$ 1131 million by 2031, at a CAGR of 6.7% (2025-2031), driven by critical product segments and diverse end‑use applications.
AI Agent Builder is a specialized software tool for developing, building and managing artificial intelligence agents. These agents can perform automated tasks, answer user questions, perform natural language processing, interact with users, and perform specific business functions.
Agents are applications that integrate perception, decision-making, memory, and execution. Actual implementation and multi-agent collaboration will become core competitiveness. Agents are autonomous systems with full-link capabilities from environmental perception to decision-making and reasoning to action execution. Their core features include autonomy, tool invocation, memory mechanism, and goal orientation. Unlike traditional AI's passive response, agents can proactively plan execution paths, marking a paradigm shift in AI from "information processing" to "goal achievement." In the future, agents' actual implementation capabilities will become core competitiveness, and multi-agent collaboration will become the mainstream development direction: (1) Actual implementation capabilities: Their core competitiveness is reflected in task decomposition and automation, dynamic adaptability, and optimized human-machine collaboration. Only by embedding them into actual business processes can the capabilities of agents be fully unleashed. The true competitiveness of AI in the future lies in whether they can be integrated into workflows like "digital employees" and bring about actual efficiency improvements. (2) Multi-agent collaboration: From a human perspective, each person represents a specific role at work, and future agents will also be like this. More advanced use cases usually require collaboration between multiple agents, each responsible for a specific role, forming a complex agent collaboration network similar to the human collaboration network.
Report Includes:
This definitive report equips business leaders, decision-makers and stakeholders with a 360° view of the global AI Agent Builders Software market across value chain. It analyzes historical revenue data (2020–2024) and delivers forecasts through 2031, illuminating demand trends and growth drivers.
By segmenting the market by Type and by Application, the study quantifies market size, growth rates, niche opportunities, and substitution risks, and analyzes downstream customers distribution pattern.
Granular regional insights cover five major markets—North America, Europe, APAC, South America, and MEA—with in‑depth analysis of 20+ countries, detailing dominant products, competitive landscape, and downstream demand trends.
Critical competitive intelligence profiles players—revenue, margins, pricing strategies, and major customers—and dissects the top-player positioning across product lines, applications, and regions to reveal strategic strengths.
A concise Industry‑chain overview maps upstream, middlestream, and downstream distribution dynamics to identify strategic gaps and unmet demand.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Defines the AI Agent Builders Software study scope, segments the market by Type and by Application, etc, highlights segment size and growth potential.
Chapter 2: Offers current market state, projects global revenue and sales to 2031, pinpointing high consumption regions and emerging market catalysts
Chapter 3: Dissects the player landscape—ranks by revenue and profitability, details Player performance by product type and evaluates concentration alongside M&A moves.
Chapter 4: Unlocks high margin product segments—compares revenue, ASP, and technology differentiators, highlighting growth niches and substitution risks
Chapter 5: Targets downstream market opportunities—evaluates market size by Application, identifies emerging use cases, and profiles leading customers by region and by Application.
Chapter 6: North America—breaks down market size by Type, by Application and country, profiles key players and assesses growth drivers and barriers.
Chapter 7: Europe—analyses regional market by Type, by Application and players, flagging drivers and barriers.
Chapter 8: Asia Pacific—quantifies market size by Type, by Application, and region/country, profiles top players, and uncovers high potential expansion areas.
Chapter 9: Central & South America—measures market size by Type, by Application, and country, profiles top players, and identifies investment opportunities and challenges.
Chapter 10: Middle East and Africa—evaluates market size by Type, by Application, and country, profiles key players, and outlines investment prospects and market hurdles
Chapter 11: Profiles players in depth—details product specs, revenue, margins; top-tier players 2024 sales breakdowns by product type, by Application, by region SWOT analysis, and recent strategic developments.
Chapter 12: Industry chain—analyses upstream, cost drivers, plus downstream channels.
Chapter 13: Market dynamics—explores drivers, restraints, regulatory impacts, and risk mitigation strategies.
Chapter 14: Actionable conclusions and strategic recommendations.
WHY THIS REPORT
Beyond standard market data, this analysis provides a clear profitability roadmap, empowering you to:
Beyond standard market data, this analysis provides a clear profitability roadmap—empowering you to:
Allocate capital strategically to high growth regions (Chapters 6–10) and margin rich segments (Chapter 5).
Negotiate from strength with suppliers (Chapter 12) and customers (Chapter 5) using cost and demand intelligence.
Outmaneuver competitors with granular insights into their operations, margins, and strategies (Chapters 3 and 11).
Capitalize on the projected billion‑dollar opportunity with data‑driven regional and segment tactics (Chapter 12-14).
Leverage this 360° intelligence to turn market complexity into actionable competitive advantage.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Study Coverage
1.1 Introduction to AI Agent Builders Software: Definition, Properties, and Key Attributes
1.2 Market Segmentation by Type
1.2.1 Global AI Agent Builders Software Market Size by Type, 2020 VS 2024 VS 2031
1.2.2 Cloud-Based
1.2.3 On Premise
1.3 Market Segmentation by Application
1.3.1 Global AI Agent Builders Software Market Size by Application, 2020 VS 2024 VS 2031
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Executive Summary
2.1 Global AI Agent Builders Software Revenue Estimates and Forecasts 2020-2031
2.2 Global AI Agent Builders Software Revenue by Region
2.2.1 Revenue Comparison: 2020 VS 2024 VS 2031
2.2.2 Historical and Forecasted Revenue by Region (2020-2031)
2.2.3 Global Revenue Market Share by Region (2020-2031)
2.2.4 Emerging Market Focus: Growth Drivers & Investment Trends
3 Competition by Players
3.1 Global AI Agent Builders Software Player Revenue Rankings and Profitability
3.1.1 Global Revenue (Value) by Players (2020-2025)
3.1.2 Global Key Player Revenue Ranking (2023 vs. 2024)
3.1.3 Revenue-Based Tier Segmentation (Tier 1, Tier 2, and Tier 3)
3.1.4 Gross Margin by Top Player (2020 VS 2024)
3.2 Global AI Agent Builders Software Companies Headquarters and Service Footprint
3.3 Main Product Type Market Size by Players
3.3.1 Cloud-Based Market Size by Players
3.3.2 On Premise Market Size by Players
3.4 Global AI Agent Builders Software Market Concentration and Dynamics
3.4.1 Global Market Concentration (CR5 and HHI)
3.4.2 Entrant/Exit Impact Analysis
3.4.3 Strategic Moves: M&A, Expansion, R&D Investment
4 Global Product Segmentation Analysis
4.1 Global AI Agent Builders Software Revenue Trends by Type
4.1.1 Global Historical and Forecasted Revenue by Type (2020-2031)
4.1.2 Global Revenue Market Share by Type (2020-2031)
4.2 Key Product Attributes and Differentiation
4.3 Subtype Dynamics: Growth Leaders, Profitability and Risk
4.3.1 High-Growth Niches and Adoption Drivers
4.3.2 Profitability Hotspots and Cost Drivers
4.3.3 Substitution Threats
5 Global Downstream Application Analysis
5.1 Global AI Agent Builders Software Revenue by Application
5.1.1 Global Historical and Forecasted Revenue by Application (2020-2031)
5.1.2 Revenue Market Share by Application (2020-2031)
5.1.3 High-Growth Application Identification
5.1.4 Emerging Application Case Studies
5.2 Downstream Customer Analysis
5.2.1 Top Customers by Region
5.2.2 Top Customers by Application
6 North America
6.1 North America Market Size (2020-2031)
6.2 North America Key Players Revenue in 2024
6.3 North America AI Agent Builders Software Market Size by Type (2020-2031)
6.4 North America AI Agent Builders Software Market Size by Application (2020-2031)
6.5 North America Growth Accelerators and Market Barriers
6.6 North America AI Agent Builders Software Market Size by Country
6.6.1 North America Revenue Trends by Country
6.6.2 US
6.6.3 Canada
6.6.4 Mexico
7 Europe
7.1 Europe Market Size (2020-2031)
7.2 Europe Key Players Revenue in 2024
7.3 Europe AI Agent Builders Software Market Size by Type (2020-2031)
7.4 Europe AI Agent Builders Software Market Size by Application (2020-2031)
7.5 Europe Growth Accelerators and Market Barriers
7.6 Europe AI Agent Builders Software Market Size by Country
7.6.1 Europe Revenue Trends by Country
7.6.2 Germany
7.6.3 France
7.6.4 U.K.
7.6.5 Italy
7.6.6 Russia
8 Asia-Pacific
8.1 Asia-Pacific Market Size (2020-2031)
8.2 Asia-Pacific Key Players Revenue in 2024
8.3 Asia-Pacific AI Agent Builders Software Market Size by Type (2020-2031)
8.4 Asia-Pacific AI Agent Builders Software Market Size by Application (2020-2031)
8.5 Asia-Pacific Growth Accelerators and Market Barriers
8.6 Asia-Pacific AI Agent Builders Software Market Size by Region
8.6.1 Asia-Pacific Revenue Trends by Region
8.7 China
8.8 Japan
8.9 South Korea
8.10 Australia
8.11 India
8.12 Southeast Asia
8.12.1 Indonesia
8.12.2 Vietnam
8.12.3 Malaysia
8.12.4 Philippines
8.12.5 Singapore
9 Central and South America
9.1 Central and South America Market Size (2020-2031)
9.2 Central and South America Key Players Revenue in 2024
9.3 Central and South America AI Agent Builders Software Market Size by Type (2020-2031)
9.4 Central and South America AI Agent Builders Software Market Size by Application (2020-2031)
9.5 Central and South America Investment Opportunities and Key Challenges
9.6 Central and South America AI Agent Builders Software Market Size by Country
9.6.1 Central and South America Revenue Trends by Country (2020 VS 2024 VS 2031)
9.6.2 Brazil
9.6.3 Argentina
10 Middle East and Africa
10.1 Middle East and Africa Market Size (2020-2031)
10.2 Middle East and Africa Key Players Revenue in 2024
10.3 Middle East and Africa AI Agent Builders Software Market Size by Type (2020-2031)
10.4 Middle East and Africa AI Agent Builders Software Market Size by Application (2020-2031)
10.5 Middle East and Africa Investment Opportunities and Key Challenges
10.6 Middle East and Africa AI Agent Builders Software Market Size by Country
10.6.1 Middle East and Africa Revenue Trends by Country (2020 VS 2024 VS 2031)
10.6.2 GCC Countries
10.6.3 Israel
10.6.4 Egypt
10.6.5 South Africa
11 Corporate Profile
11.1 IBM
11.1.1 IBM Corporation Information
11.1.2 IBM Business Overview
11.1.3 IBM AI Agent Builders Software Product Features and Attributes
11.1.4 IBM AI Agent Builders Software Revenue and Gross Margin (2020-2025)
11.1.5 IBM AI Agent Builders Software Revenue by Product in 2024
11.1.6 IBM AI Agent Builders Software Revenue by Application in 2024
11.1.7 IBM AI Agent Builders Software Revenue by Geographic Area in 2024
11.1.8 IBM AI Agent Builders Software SWOT Analysis
11.1.9 IBM Recent Developments
11.2 Microsoft
11.2.1 Microsoft Corporation Information
11.2.2 Microsoft Business Overview
11.2.3 Microsoft AI Agent Builders Software Product Features and Attributes
11.2.4 Microsoft AI Agent Builders Software Revenue and Gross Margin (2020-2025)
11.2.5 Microsoft AI Agent Builders Software Revenue by Product in 2024
11.2.6 Microsoft AI Agent Builders Software Revenue by Application in 2024
11.2.7 Microsoft AI Agent Builders Software Revenue by Geographic Area in 2024
11.2.8 Microsoft AI Agent Builders Software SWOT Analysis
11.2.9 Microsoft Recent Developments
11.3 Oracle
11.3.1 Oracle Corporation Information
11.3.2 Oracle Business Overview
11.3.3 Oracle AI Agent Builders Software Product Features and Attributes
11.3.4 Oracle AI Agent Builders Software Revenue and Gross Margin (2020-2025)
11.3.5 Oracle AI Agent Builders Software Revenue by Product in 2024
11.3.6 Oracle AI Agent Builders Software Revenue by Application in 2024
11.3.7 Oracle AI Agent Builders Software Revenue by Geographic Area in 2024
11.3.8 Oracle AI Agent Builders Software SWOT Analysis
11.3.9 Oracle Recent Developments
11.4 Salesforce
11.4.1 Salesforce Corporation Information
11.4.2 Salesforce Business Overview
11.4.3 Salesforce AI Agent Builders Software Product Features and Attributes
11.4.4 Salesforce AI Agent Builders Software Revenue and Gross Margin (2020-2025)
11.4.5 Salesforce AI Agent Builders Software Revenue by Product in 2024
11.4.6 Salesforce AI Agent Builders Software Revenue by Application in 2024
11.4.7 Salesforce AI Agent Builders Software Revenue by Geographic Area in 2024
11.4.8 Salesforce AI Agent Builders Software SWOT Analysis
11.4.9 Salesforce Recent Developments
11.5 ServiceNow
11.5.1 ServiceNow Corporation Information
11.5.2 ServiceNow Business Overview
11.5.3 ServiceNow AI Agent Builders Software Product Features and Attributes
11.5.4 ServiceNow AI Agent Builders Software Revenue and Gross Margin (2020-2025)
11.5.5 ServiceNow AI Agent Builders Software Revenue by Product in 2024
11.5.6 ServiceNow AI Agent Builders Software Revenue by Application in 2024
11.5.7 ServiceNow AI Agent Builders Software Revenue by Geographic Area in 2024
11.5.8 ServiceNow AI Agent Builders Software SWOT Analysis
11.5.9 ServiceNow Recent Developments
11.6 Google
11.6.1 Google Corporation Information
11.6.2 Google Business Overview
11.6.3 Google AI Agent Builders Software Product Features and Attributes
11.6.4 Google AI Agent Builders Software Revenue and Gross Margin (2020-2025)
11.6.5 Google Recent Developments
11.7 WotNot
11.7.1 WotNot Corporation Information
11.7.2 WotNot Business Overview
11.7.3 WotNot AI Agent Builders Software Product Features and Attributes
11.7.4 WotNot AI Agent Builders Software Revenue and Gross Margin (2020-2025)
11.7.5 WotNot Recent Developments
11.8 Voiceflow
11.8.1 Voiceflow Corporation Information
11.8.2 Voiceflow Business Overview
11.8.3 Voiceflow AI Agent Builders Software Product Features and Attributes
11.8.4 Voiceflow AI Agent Builders Software Revenue and Gross Margin (2020-2025)
11.8.5 Voiceflow Recent Developments
11.9 Botpress
11.9.1 Botpress Corporation Information
11.9.2 Botpress Business Overview
11.9.3 Botpress AI Agent Builders Software Product Features and Attributes
11.9.4 Botpress AI Agent Builders Software Revenue and Gross Margin (2020-2025)
11.9.5 Botpress Recent Developments
11.10 SmythOS
11.10.1 SmythOS Corporation Information
11.10.2 SmythOS Business Overview
11.10.3 SmythOS AI Agent Builders Software Product Features and Attributes
11.10.4 SmythOS AI Agent Builders Software Revenue and Gross Margin (2020-2025)
11.10.5 Company Ten Recent Developments
11.11 Postman
11.11.1 Postman Corporation Information
11.11.2 Postman Business Overview
11.11.3 Postman AI Agent Builders Software Product Features and Attributes
11.11.4 Postman AI Agent Builders Software Revenue and Gross Margin (2020-2025)
11.11.5 Postman Recent Developments
11.12 Flowise
11.12.1 Flowise Corporation Information
11.12.2 Flowise Business Overview
11.12.3 Flowise AI Agent Builders Software Product Features and Attributes
11.12.4 Flowise AI Agent Builders Software Revenue and Gross Margin (2020-2025)
11.12.5 Flowise Recent Developments
11.13 SysAid
11.13.1 SysAid Corporation Information
11.13.2 SysAid Business Overview
11.13.3 SysAid AI Agent Builders Software Product Features and Attributes
11.13.4 SysAid AI Agent Builders Software Revenue and Gross Margin (2020-2025)
11.13.5 SysAid Recent Developments
11.14 N8N
11.14.1 N8N Corporation Information
11.14.2 N8N Business Overview
11.14.3 N8N AI Agent Builders Software Product Features and Attributes
11.14.4 N8N AI Agent Builders Software Revenue and Gross Margin (2020-2025)
11.14.5 N8N Recent Developments
12 AI Agent Builders SoftwareIndustry Chain Analysis
12.1 AI Agent Builders Software Industry Chain
12.2 Upstream Analysis
12.2.1 Upstream Key Suppliers
12.3 Middlestream Analysis
12.4 Downstream Sales Model and Distribution Networks
12.4.1 Sales Channels
12.4.2 Distributors
13 AI Agent Builders Software Market Dynamics
13.1 Industry Trends and Evolution
13.2 Market Growth Drivers and Emerging Opportunities
13.3 Market Challenges, Risks, and Restraints
14 Key Findings in the Global AI Agent Builders Software Study
15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
15.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Author Details
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
WHY THIS REPORT
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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