2026-2030年全球多智慧體系統（MAS）平台市場

全球多智慧體系統（MAS）平台市場預計將從 2025 年到 2030 年成長至 447.976 億美元，預測期內複合年成長率為 45.8%。

本報告對全球多智慧體系統 (MAS) 平台市場進行了全面分析，包括市場規模和預測、趨勢、成長要素、挑戰以及對約 25 家公司的供應商分析。

本報告對當前市場狀況、最新趨勢和促進因素以及整體市場環境進行了最新分析。推動該市場發展的因素包括：分散式自主自動化需求的激增、邊緣運算和物聯網基礎設施的普及，以及大規模語言模型 (LLM) 和生成式人工智慧的快速發展。

本研究客觀地結合了一手和二手訊息，包括來自主要行業相關人員的信息。報告內容涵蓋主要公司分析、全面的市場規模資料、細分市場資訊（包括區域分析）以及供應商格局資料。此外，報告還包含歷史數據和預測數據。

本研究指出，將區塊鏈技術整合到現有系統中以增強安全性和可靠性協議，是未來幾年全球多智慧體系統（MAS）平台市場成長的關鍵促進因素之一。此外，異構系統間標準化互通性框架的開發以及量子計算演算法在複雜多智慧體最佳化中的應用，預計也將產生顯著的市場需求。

目錄

第1章：執行摘要

第2章 Technavio 分析

• 分析定價、生命週期、顧客購買籃子、採用率和購買標準。
• 輸入的重要性及差異化因素
• 干擾因素
• 促進因素和挑戰的影響

第3章 市場狀況

• 市場生態系統
• 市場特徵
• 價值鏈分析

第4章 市場規模

• 市場的定義
• 市場區隔分析
• 2025年市場規模
• 市場展望，2025-2030年

第5章 市場規模與表現

• 2020-2024年全球多智慧體系統（MAS）平台市場
• 基於組件的細分市場分析，2020-2024 年
• 按部署方式分類的細分市場分析，2020-2024 年
• 基於應用領域的細分市場分析，2020-2024 年
• 區域區隔市場分析，2020-2024 年
• 2020-2024年各國細分市場分析

第6章 定性分析

• 人工智慧的影響：全球多智慧體系統（MAS）平台市場
• 地緣政治衝突的影響：全球多智慧體系統（MAS）平台市場

第7章：五力分析

第8章 市場區隔：按組件

• 比較：按組件
• 軟體
• 服務
• 市場機會：按組件分類

第9章 市場區隔：依部署方式

• 比較：依部署方式
• 基於雲端的
• 混合
• 現場
• 市場機會：依發展階段分類

第10章 市場區隔：依應用

• 比較：透過應用
• 企業自動化
• 軟體開發
• 供應鍊和物流
• 金融服務
• 其他
• 市場機會：依應用領域分類

第11章 客戶情況

第12章 區域情勢

• 區域細分
• 區域比較
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲
  • 德國
  • 英國
  • 法國
  • 義大利
  • 荷蘭
  • 西班牙
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 澳洲
  • 印尼
• 中東和非洲
  • 沙烏地阿拉伯
  • UAE
  • 南非
  • 以色列
  • 土耳其
• 南美洲
  • 巴西
  • 阿根廷
  • 哥倫比亞
• 市場機會：按地區分類

第13章 促進因素、挑戰與機遇

• 市場促進因素
• 市場挑戰
• 促進因素和挑戰的影響
• 市場機遇

第14章 競爭格局

• 概述
• 競爭格局
• 混亂局面
• 產業風險

第15章 競爭分析

• 公司簡介
• 公司排名指標
• 企業市場定位
• Amazon Web Services Inc.
• CrewAI
• DataRobot Inc.
• FETCH.AI
• Google LLC
• IBM Corp.
• Microsoft Corp.
• NVIDIA Corp.
• Oracle Corp.
• Salesforce Inc.
• SAP SE
• Siemens AG
• SingularityNET
• SuperAGI
• The AnyLogic Company

第16章附錄

The global multi-agent system (mas) platform market is forecasted to grow by USD 44797.6 mn during 2025-2030, accelerating at a CAGR of 45.8% during the forecast period. The report on the global multi-agent system (mas) platform market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by surging demand for decentralized autonomous automation, proliferation of edge computing and iot infrastructures, rapid advancements in llm and generative ai.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global multi-agent system (mas) platform market is segmented as below:

By Component

• Software
• Services

By Deployment

• Cloud-based
• Hybrid
• On-premises

By Application

• Enterprise automation
• Software development
• Supply chain and logistics
• Financial services
• Others

Geography

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • The Netherlands
  • Spain
• APAC
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
• Middle East and Africa
  • UAE
  • South Africa
  • Turkey
• South America
  • Brazil
  • Argentina
  • Colombia
• Rest of World (ROW)

This study identifies the integration of blockchain technology for enhanced security and trust protocols as one of the prime reasons driving the global multi-agent system (mas) platform market growth during the next few years. Also, development of standardized interoperability frameworks across disparate systems and implementation of quantum computing algorithms for complex multi-agent optimization will lead to sizable demand in the market.

The report on the global multi-agent system (mas) platform market covers the following areas:

• Global multi-agent system (mas) platform market sizing
• Global multi-agent system (mas) platform market forecast
• Global multi-agent system (mas) platform market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global multi-agent system (mas) platform market vendors that include Amazon Web Services Inc., Cognigy GmbH, CrewAI, DataRobot Inc., FETCH.AI, Google LLC, H2O.ai Inc., IBM Corp., Kore.ai Inc., LangChain Inc., Microsoft Corp., Moveworks Inc., NVIDIA Corp., Oracle Corp., Salesforce Inc., SAP SE, Siemens AG, SingularityNET, SuperAGI, The AnyLogic Company. Also, the global multi-agent system (mas) platform market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Component
  • Executive Summary - Chart on Market Segmentation by Deployment
  • Executive Summary - Chart on Market Segmentation by Application
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2025
• 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

• 5.1 Global Multi-Agent System (MAS) Platform Market 2020 - 2024
  • Historic Market Size - Data Table on Global Multi-Agent System (MAS) Platform Market 2020 - 2024 ($ million)
• 5.2 Component segment analysis 2020 - 2024
  • Historic Market Size - Component Segment 2020 - 2024 ($ million)
• 5.3 Deployment segment analysis 2020 - 2024
  • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
• 5.4 Application segment analysis 2020 - 2024
  • Historic Market Size - Application Segment 2020 - 2024 ($ million)
• 5.5 Geography segment analysis 2020 - 2024
  • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
• 5.6 Country segment analysis 2020 - 2024
  • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

• 6.1 Impact of AI on Global Multi-Agent System (MAS) Platform Market
• 6.2 Impact of Geopolitical Conflicts on Global Multi-Agent System (MAS) Platform Market

7 Five Forces Analysis

• 7.1 Five forces summary
  • Five forces analysis - Comparison between 2025 and 2030
• 7.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2025 and 2030
• 7.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
• 7.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2025 and 2030
• 7.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2025 and 2030
• 7.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2025 and 2030
• 7.7 Market condition

8 Market Segmentation by Component

• 8.1 Market segments
• 8.2 Comparison by Component
• 8.3 Software - Market size and forecast 2025-2030
• 8.4 Services - Market size and forecast 2025-2030
• 8.5 Market opportunity by Component
  • Market opportunity by Component ($ million)

9 Market Segmentation by Deployment

• 9.1 Market segments
• 9.2 Comparison by Deployment
• 9.3 Cloud-based - Market size and forecast 2025-2030
• 9.4 Hybrid - Market size and forecast 2025-2030
• 9.5 On-premises - Market size and forecast 2025-2030
• 9.6 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

10 Market Segmentation by Application

• 10.1 Market segments
• 10.2 Comparison by Application
• 10.3 Enterprise automation - Market size and forecast 2025-2030
• 10.4 Software development - Market size and forecast 2025-2030
• 10.5 Supply chain and logistics - Market size and forecast 2025-2030
• 10.6 Financial services - Market size and forecast 2025-2030
• 10.7 Others - Market size and forecast 2025-2030
• 10.8 Market opportunity by Application
  • Market opportunity by Application ($ million)

11 Customer Landscape

• 11.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

12 Geographic Landscape

• 12.1 Geographic segmentation
• 12.2 Geographic comparison
• 12.3 North America - Market size and forecast 2025-2030
  • 12.3.1 US - Market size and forecast 2025-2030
  • 12.3.2 Canada - Market size and forecast 2025-2030
  • 12.3.3 Mexico - Market size and forecast 2025-2030
• 12.4 Europe - Market size and forecast 2025-2030
  • 12.4.1 Germany - Market size and forecast 2025-2030
  • 12.4.2 UK - Market size and forecast 2025-2030
  • 12.4.3 France - Market size and forecast 2025-2030
  • 12.4.4 Italy - Market size and forecast 2025-2030
  • 12.4.5 The Netherlands - Market size and forecast 2025-2030
  • 12.4.6 Spain - Market size and forecast 2025-2030
• 12.5 APAC - Market size and forecast 2025-2030
  • 12.5.1 China - Market size and forecast 2025-2030
  • 12.5.2 Japan - Market size and forecast 2025-2030
  • 12.5.3 India - Market size and forecast 2025-2030
  • 12.5.4 South Korea - Market size and forecast 2025-2030
  • 12.5.5 Australia - Market size and forecast 2025-2030
  • 12.5.6 Indonesia - Market size and forecast 2025-2030
• 12.6 Middle East and Africa - Market size and forecast 2025-2030
  • 12.6.1 Saudi Arabia - Market size and forecast 2025-2030
  • 12.6.2 UAE - Market size and forecast 2025-2030
  • 12.6.3 South Africa - Market size and forecast 2025-2030
  • 12.6.4 Israel - Market size and forecast 2025-2030
  • 12.6.5 Turkey - Market size and forecast 2025-2030
• 12.7 South America - Market size and forecast 2025-2030
  • 12.7.1 Brazil - Market size and forecast 2025-2030
  • 12.7.2 Argentina - Market size and forecast 2025-2030
  • 12.7.3 Colombia - Market size and forecast 2025-2030
• 12.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

13 Drivers, Challenges, and Opportunity

• 13.1 Market drivers
  • Surging demand for decentralized autonomous automation
  • Proliferation of edge computing and IoT infrastructures
  • Rapid advancements in LLM and generative AI
• 13.2 Market challenges
  • Complexity in interoperability and standardisation across diverse systems
  • Heightened cybersecurity risks and vulnerabilities in decentralized networks
  • Substantial implementation costs and shortage of specialized technical talent
• 13.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2025 and 2030
• 13.4 Market opportunities
  • Integration of blockchain technology for enhanced security and trust protocols
  • Development of standardized interoperability frameworks across disparate systems
  • Implementation of quantum computing algorithms for complex multi-agent optimization

14 Competitive Landscape

• 14.1 Overview
• 14.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 14.3 Landscape disruption
  • Overview on factors of disruption
• 14.4 Industry risks
  • Impact of key risks on business

15 Competitive Analysis

• 15.1 Companies profiled
  • Companies covered
• 15.2 Company ranking index
  • Company ranking index
• 15.3 Market positioning of companies
  • Matrix on companies position and classification
• 15.4 Amazon Web Services Inc.
  • Amazon Web Services Inc. - Overview
  • Amazon Web Services Inc. - Product / Service
  • Amazon Web Services Inc. - Key offerings
  • SWOT
• 15.5 CrewAI
  • CrewAI - Overview
  • CrewAI - Product / Service
  • CrewAI - Key offerings
  • SWOT
• 15.6 DataRobot Inc.
  • DataRobot Inc. - Overview
  • DataRobot Inc. - Product / Service
  • DataRobot Inc. - Key offerings
  • SWOT
• 15.7 FETCH.AI
  • FETCH.AI - Overview
  • FETCH.AI - Product / Service
  • FETCH.AI - Key offerings
  • SWOT
• 15.8 Google LLC
  • Google LLC - Overview
  • Google LLC - Product / Service
  • Google LLC - Key offerings
  • SWOT
• 15.9 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 15.10 Microsoft Corp.
  • Microsoft Corp. - Overview
  • Microsoft Corp. - Business segments
  • Microsoft Corp. - Key news
  • Microsoft Corp. - Key offerings
  • Microsoft Corp. - Segment focus
  • SWOT
• 15.11 NVIDIA Corp.
  • NVIDIA Corp. - Overview
  • NVIDIA Corp. - Business segments
  • NVIDIA Corp. - Key news
  • NVIDIA Corp. - Key offerings
  • NVIDIA Corp. - Segment focus
  • SWOT
• 15.12 Oracle Corp.
  • Oracle Corp. - Overview
  • Oracle Corp. - Business segments
  • Oracle Corp. - Key news
  • Oracle Corp. - Key offerings
  • Oracle Corp. - Segment focus
  • SWOT
• 15.13 Salesforce Inc.
  • Salesforce Inc. - Overview
  • Salesforce Inc. - Business segments
  • Salesforce Inc. - Key news
  • Salesforce Inc. - Key offerings
  • Salesforce Inc. - Segment focus
  • SWOT
• 15.14 SAP SE
  • SAP SE - Overview
  • SAP SE - Business segments
  • SAP SE - Key news
  • SAP SE - Key offerings
  • SAP SE - Segment focus
  • SWOT
• 15.15 Siemens AG
  • Siemens AG - Overview
  • Siemens AG - Business segments
  • Siemens AG - Key news
  • Siemens AG - Key offerings
  • Siemens AG - Segment focus
  • SWOT
• 15.16 SingularityNET
  • SingularityNET - Overview
  • SingularityNET - Product / Service
  • SingularityNET - Key offerings
  • SWOT
• 15.17 SuperAGI
  • SuperAGI - Overview
  • SuperAGI - Product / Service
  • SuperAGI - Key offerings
  • SWOT
• 15.18 The AnyLogic Company
  • The AnyLogic Company - Overview
  • The AnyLogic Company - Product / Service
  • The AnyLogic Company - Key offerings
  • SWOT

16 Appendix

• 16.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 16.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 16.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 16.4 Research methodology
  • Research methodology
• 16.5 Data procurement
  • Information sources
• 16.6 Data validation
  • Data validation
• 16.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 16.8 Data synthesis
  • Data synthesis
• 16.9 360 degree market analysis
  • 360 degree market analysis
• 16.10 List of abbreviations
  • List of abbreviations