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1766048

全球複雜人工智慧市場：未來預測（至 2032 年）—按產品、技術、應用、最終用戶和地區進行分析

Composite AI Market Forecasts to 2032 - Global Analysis By Offering (Software, Hardware and Services), Technique, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球複雜人工智慧市場預計在 2025 年達到 18 億美元，到 2032 年將達到 158 億美元，預測期內的複合年成長率為 36.4%。

複合人工智慧是一種先進的方法，它整合了多種人工智慧技術，包括機器學習、自然語言處理和電腦視覺，以解決複雜問題。將多種人工智慧模型結合，可增強自主系統、醫療診斷和財務預測等應用的決策能力、適應性和準確性。這種整體框架充分利用了每個人工智慧組件的優勢，從而提供更穩健、更可擴展的解決方案，模擬人類推理能力，應對現實世界中多方面的挑戰。

根據《科技》雜誌的一份新報告，83% 的技術領導者認為整合人工智慧 (AI) 對於有效管理現代雲端環境的複雜性至關重要。

對預測分析的需求不斷成長

隨著商業環境日益複雜，對預測分析的需求也呈現爆炸性成長。企業正尋求利用歷史數據來更準確地預測未來趨勢和結果。這種日益成長的預見性需求涵蓋了從金融、醫療保健到零售和製造業等各個領域。因此，採用通常由複雜人工智慧驅動的高階分析工具，對於提升競爭優勢至關重要。預測市場變化和消費者行為的能力是投資這些高階解決方案的主要驅動力。

安裝和維護成本高

複雜人工智慧市場的一個顯著限制因素是其部署和持續維護的高昂成本。開發和部署精密複雜的人工智慧系統通常需要在專用硬體、軟體許可證和高技能人才方面進行大量的前期投資。此外，這些人工智慧解決方案的複雜性要求持續監控、更新和最佳化，從而導致更高的營運成本。此外，將複雜人工智慧與現有IT基礎設施整合的複雜性也增加了整體成本負擔，並阻礙了其更廣泛的應用。

人工智慧在智慧城市和物聯網的應用

人工智慧在智慧城市計畫和物聯網 (IoT) 生態系統中的快速應用，為複合人工智慧市場帶來了巨大的機會。智慧城市越來越依賴連網設備和數據分析來改善城市生活，而複合人工智慧可以提供處理這些海量資訊所需的智慧。從最佳化交通流量、管理能源消耗到改善公共和廢棄物管理，人工智慧的角色正在迅速擴展。這些整合的人工智慧解決方案可以將原始數據轉化為可操作的情報，從而推動城市環境的效率和創新。

與開放原始碼人工智慧模型競爭

開放原始碼AI模型日益普及和複雜化，對複合AI市場構成了重大威脅。這些模型免費提供，為希望部署AI解決方案而無需支付高額授權費用的企業提供了一種經濟高效的選擇。目前，許多開放原始碼模型在效能和功能方面堪比商業產品，對專有複合AI產品構成了直接挑戰。這種可近性可能會使小型企業能夠利用AI，並稀釋現有商業供應商的市場佔有率。

COVID-19的影響：

新冠疫情的爆發顯著影響了複雜人工智慧的市場動態。最初，由於企業專注於緊急危機管理，市場不確定性加劇，投資放緩。然而，疫情加速了各行各業的數位轉型，並凸顯了對數據主導洞察和自動化的迫切需求。企業轉向複雜人工智慧來分析快速變化的市場狀況並調整策略。儘管初期有所擾亂，但其長期影響卻成為推動人工智慧更廣泛應用的催化劑，因為企業意識到人工智慧在應對意外挑戰和增強韌性方面的價值。

預計在預測期內軟體部分將成為最大的部分。

由於人工智慧演算法和平台的持續創新為複合人工智慧解決方案提供了核心智慧，預計軟體領域將在預測期內佔據最大的市場佔有率。對複雜分析能力和智慧自動化工具日益成長的需求進一步鞏固了該領域的主導地位。各公司正大力投資專用軟體，以整合各種人工智慧技術並獲得全面的洞察。雲端基礎的人工智慧軟體的可訪問性和可擴展性也在其廣泛應用方面發揮關鍵作用。該領域為眾多垂直產業的各種複合人工智慧應用提供了多功能的基礎。

數據處理部門預計在預測期內實現最高複合年成長率

在預測期內，數據處理領域預計將呈現最高的成長率，這得益於數據量和複雜性的持續成長，並預計在預測期內實現最高的複合年成長率。複合人工智慧的有效利用高度依賴強大的資料提取、清理、轉換和管理。該領域有助於準備高品質的資料集，這對於訓練和部署準確的複合人工智慧模型至關重要。對即時數據處理和分析的需求也對該領域的快速成長做出了重大貢獻。

比最大的地區

預計亞太地區將在預測期內佔據最大的市場佔有率，這得益於中國、印度和日本等國家經濟的快速成長、數位化的不斷提高以及對人工智慧技術的大力投資。該地區正經歷智慧城市計畫的快速發展和物聯網的廣泛應用，為複雜的人工智慧解決方案創造了肥沃的土壤。政府對技術進步的支持以及龐大的消費群進一步推動了市場擴張。該地區對技術創新和整合的關注，為其在全球複雜人工智慧市場的主導地位做出了重要貢獻。

複合年成長率最高的地區：

預計北美地區在預測期內將呈現最高的複合年成長率，這得益於其在人工智慧領域的大量研發投入、領先科技公司的佈局以及專注於先進人工智慧解決方案的新興企業生態系統。各產業對新興技術的高採用率以及積極主動的數位轉型是關鍵促進因素。該地區對數據主導決策的重視以及對高階預測分析日益成長的需求是其高成長軌蹟的主要推動因素。各行業對複雜人工智慧的早期應用預計將推動北美地區的快速擴張。

免費客製化服務

本報告的所有訂閱者均可享有以下免費自訂選項之一：

  • 公司簡介
    • 對其他公司（最多 3 家）進行全面分析
    • 主要企業的SWOT分析（最多3家公司）
  • 區域分類
    • 根據客戶興趣對主要國家市場進行估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第 2 章 簡介

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 主要研究資料
    • 二手研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 介紹
  • 驅動程式
  • 限制因素
  • 市場機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 企業之間的競爭

第5章 全球複合人工智慧市場（按產品提供）

  • 軟體
  • 硬體
  • 服務

第6章 全球複雜人工智慧市場（按技術）

  • 條件監測
  • 模式識別
  • 資料處理
  • 主動機制
  • 資料探勘與機器學習
  • 其他技術

第7章 全球複雜人工智慧市場（按應用）

  • 產品設計與開發
  • 品管
  • 預測性維護
  • 安全與監控
  • 客戶服務
  • 其他用途

第8章全球複合人工智慧市場（按最終用戶）

  • BFSI
  • 通訊
  • 零售與電子商務
  • 醫學與生命科學
  • 媒體與娛樂
  • 能源與電力
  • 運輸/物流
  • 政府/國防
  • 製造業
  • 其他最終用戶

第9章 全球複雜人工智慧市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第10章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併與收購（M&A）
  • 新產品發布
  • 擴張
  • 其他關鍵策略

第11章 公司概況

  • IBM Corporation
  • SAS Institute, Inc.
  • Microsoft Corporation
  • Google LLC（Alphabet Inc.）
  • Salesforce, Inc.
  • Amazon Web Services, Inc.（Amazon.com, Inc.）
  • NVIDIA Corporation
  • Intel Corporation
  • SAP SE
  • Squirro AG
  • Zebra Medical Vision
  • Alibaba Cloud
  • KPMG
  • Dell Technologies
  • Cognizant
  • Baidu
  • Siemens
Product Code: SMRC29903

According to Stratistics MRC, the Global Composite AI Market is accounted for $1.80 billion in 2025 and is expected to reach $15.8 billion by 2032 growing at a CAGR of 36.4% during the forecast period. Composite AI is an advanced approach that integrates multiple artificial intelligence techniques, such as machine learning, natural language processing, and computer vision, to solve complex problems. By combining diverse AI models, it enhances decision-making, adaptability, and accuracy in applications like autonomous systems, healthcare diagnostics, and financial forecasting. This holistic framework leverages the strengths of individual AI components, enabling more robust, scalable solutions that mimic human-like reasoning for multifaceted, real-world challenges.

According to a recent report by Technology magazine, a significant majority of technology leaders, at 83%, believe that integrating artificial intelligence (AI) is essential to manage the complexities of modern cloud environments effectively

Market Dynamics:

Driver:

Growing demand for predictive analytics

The escalating complexity of business environments is fueling a significant surge in the demand for predictive analytics. Organizations are increasingly seeking to leverage historical data to forecast future trends and outcomes with greater accuracy. This growing need for foresight spans various sectors, from finance and healthcare to retail and manufacturing. Consequently, the adoption of advanced analytical tools, often enhanced by Composite AI, is becoming indispensable for competitive advantage. The ability to anticipate market shifts and consumer behavior is driving considerable investment in these sophisticated solutions.

Restraint:

High implementation & maintenance costs

A notable constraint for the Composite AI market lies in the substantial costs associated with its implementation and ongoing maintenance. Developing and deploying sophisticated Composite AI systems often requires significant upfront investments in specialized hardware, software licenses, and highly skilled personnel. Furthermore, the intricate nature of these AI solutions necessitates continuous monitoring, updates, and optimization, contributing to elevated operational expenditures. The complexity of integrating Composite AI with existing IT infrastructures also adds to the overall cost burden, hindering broader adoption.

Opportunity:

AI adoption in smart cities & IoT

A significant opportunity for the Composite AI market arises from the burgeoning adoption of AI within smart city initiatives and the Internet of Things (IoT) ecosystem. Smart cities are increasingly relying on interconnected devices and data analytics to enhance urban living, and Composite AI can provide the intelligence needed to process this vast amount of information. From optimizing traffic flow and managing energy consumption to improving public safety and waste management, AI's role is expanding rapidly. These integrated AI solutions can transform raw data into actionable intelligence, driving efficiency and innovation in urban environments.

Threat:

Competition from open-source ai models

The Composite AI market faces a considerable threat from the increasing prevalence and sophistication of open-source AI models. These freely available models offer a cost-effective alternative for businesses looking to implement AI solutions without significant licensing fees. Many open-source models now rival commercial offerings in terms of performance and functionality, posing a direct challenge to proprietary Composite AI products. This accessibility empowers smaller players to leverage AI, potentially diluting the market share of established commercial vendors.

Covid-19 Impact:

The COVID-19 pandemic significantly influenced the Composite AI market dynamics. Initially, there was a period of uncertainty and slowed investment as businesses focused on immediate crisis management. However, the pandemic also accelerated the digital transformation across industries, highlighting the critical need for data-driven insights and automation. Businesses sought Composite AI to analyze rapidly changing market conditions and adapt their strategies. While initial disruptions occurred, the long-term impact has largely been a catalyst for increased AI adoption as organizations recognized its value in navigating unforeseen challenges and building resilience.

The software segment is expected to be the largest during the forecast period

The software segment is expected to account for the largest market share during the forecast period, driven by the continuous innovation in AI algorithms and platforms, providing the core intelligence for Composite AI solutions. The growing demand for sophisticated analytical capabilities and intelligent automation tools further contributes to this segment's leading position. Enterprises are heavily investing in specialized software to integrate various AI techniques and derive comprehensive insights. The accessibility and scalability of cloud-based AI software also play a crucial role in its widespread adoption. This segment offers a versatile foundation for diverse Composite AI applications across numerous industries.

The data processing segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the data processing segment is predicted to witness the highest growth rate, guided by the ever-increasing volume and complexity of data, is expected to have the highest CAGR during the forecast period. The effective utilization of Composite AI heavily relies on robust data ingestion, cleaning, transformation, and management. This segment facilitates the preparation of high-quality datasets essential for training and deploying accurate Composite AI models. The demand for real-time data processing and analytics also significantly contributes to its rapid growth.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, attributed to rapid economic growth, increasing digitalization, and significant investments in AI technologies across countries like China, India, and Japan. The burgeoning smart city initiatives and widespread adoption of IoT in this region create a fertile ground for Composite AI solutions. Government support for technological advancements and the presence of a large consumer base further drive market expansion. The region's focus on innovation and technological integration contributes significantly to its leading position in the global Composite AI market.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, fuelled by substantial R&D investments in AI, the presence of major technology giants, and a strong ecosystem of startups focused on advanced AI solutions. High adoption rates of emerging technologies across industries, coupled with a proactive approach to digital transformation, are key drivers. The region's emphasis on data-driven decision-making and the growing demand for sophisticated predictive analytics contribute significantly to this high growth trajectory. Early adoption of Composite AI in various sectors positions North America for rapid expansion.

Key players in the market

Some of the key players in Composite AI Market include IBM Corporation, SAS Institute, Inc., Microsoft Corporation, Google LLC (Alphabet Inc.), Salesforce, Inc., Amazon Web Services, Inc. (Amazon.com, Inc.), NVIDIA Corporation, Intel Corporation, SAP SE, Squirro AG, Zebra Medical Vision, Alibaba Cloud, KPMG, Dell Technologies, Cognizant, Baidu, and Siemens.

Key Developments:

In June 2025, IBM Corporation launched Watson Fusion AI, integrating predictive analytics, NLP, and computer vision for enterprise decision-making. This platform streamlines complex workflows, enhancing efficiency in finance and healthcare. Its modular design allows customization, driving adoption among global corporations seeking advanced AI solutions.

In May 2025, Google LLC introduced Vertex AI Composer, a no-code platform for blending multiple AI models into unified workflows. It simplifies AI deployment for businesses, supporting applications in retail and logistics. Its scalability and ease of use position Google as a leader in accessible AI technology.

In April 2025, NVIDIA Corporation unveiled Omniverse AI Stack, enabling real-time composite AI simulations for industrial automation. Its GPU-accelerated platform supports robotics and manufacturing, reducing development time by 30%. This innovation strengthens NVIDIA's role in AI-driven industrial solutions.

Offerings Covered:

  • Software
  • Hardware
  • Services

Techniques Covered:

  • Conditioned Monitoring
  • Pattern Recognition
  • Data Processing
  • Proactive Mechanism
  • Data Mining & Machine Learning
  • Other Techniques

Applications Covered:

  • Product Design & Development
  • Quality Control
  • Predictive Maintenance
  • Security & Surveillance
  • Customer Service
  • Other Applications

End Users Covered:

  • BFSI
  • Telecommunications
  • Retail & eCommerce
  • Healthcare & Lifesciences
  • Media & Entertainment
  • Energy & Power
  • Transportation & Logistics
  • Government & Defense
  • Manufacturing
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Composite AI Market, By Offering

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Hardware
  • 5.4 Services

6 Global Composite AI Market, By Technique

  • 6.1 Introduction
  • 6.2 Conditioned Monitoring
  • 6.3 Pattern Recognition
  • 6.4 Data Processing
  • 6.5 Proactive Mechanism
  • 6.6 Data Mining & Machine Learning
  • 6.7 Other Techniques

7 Global Composite AI Market, By Application

  • 7.1 Introduction
  • 7.2 Product Design & Development
  • 7.3 Quality Control
  • 7.4 Predictive Maintenance
  • 7.5 Security & Surveillance
  • 7.6 Customer Service
  • 7.7 Other Applications

8 Global Composite AI Market, By End User

  • 8.1 Introduction
  • 8.2 BFSI
  • 8.3 Telecommunications
  • 8.4 Retail & eCommerce
  • 8.5 Healthcare & Lifesciences
  • 8.6 Media & Entertainment
  • 8.7 Energy & Power
  • 8.8 Transportation & Logistics
  • 8.9 Government & Defense
  • 8.10 Manufacturing
  • 8.11 Other End Users

9 Global Composite AI Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 IBM Corporation
  • 11.2 SAS Institute, Inc.
  • 11.3 Microsoft Corporation
  • 11.4 Google LLC (Alphabet Inc.)
  • 11.5 Salesforce, Inc.
  • 11.6 Amazon Web Services, Inc. (Amazon.com, Inc.)
  • 11.7 NVIDIA Corporation
  • 11.8 Intel Corporation
  • 11.9 SAP SE
  • 11.10 Squirro AG
  • 11.11 Zebra Medical Vision
  • 11.12 Alibaba Cloud
  • 11.13 KPMG
  • 11.14 Dell Technologies
  • 11.15 Cognizant
  • 11.16 Baidu
  • 11.17 Siemens

List of Tables

  • Table 1 Global Composite AI Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Composite AI Market Outlook, By Offering (2024-2032) ($MN)
  • Table 3 Global Composite AI Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global Composite AI Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 5 Global Composite AI Market Outlook, By Services (2024-2032) ($MN)
  • Table 6 Global Composite AI Market Outlook, By Technique (2024-2032) ($MN)
  • Table 7 Global Composite AI Market Outlook, By Conditioned Monitoring (2024-2032) ($MN)
  • Table 8 Global Composite AI Market Outlook, By Pattern Recognition (2024-2032) ($MN)
  • Table 9 Global Composite AI Market Outlook, By Data Processing (2024-2032) ($MN)
  • Table 10 Global Composite AI Market Outlook, By Proactive Mechanism (2024-2032) ($MN)
  • Table 11 Global Composite AI Market Outlook, By Data Mining & Machine Learning (2024-2032) ($MN)
  • Table 12 Global Composite AI Market Outlook, By Other Techniques (2024-2032) ($MN)
  • Table 13 Global Composite AI Market Outlook, By Application (2024-2032) ($MN)
  • Table 14 Global Composite AI Market Outlook, By Product Design & Development (2024-2032) ($MN)
  • Table 15 Global Composite AI Market Outlook, By Quality Control (2024-2032) ($MN)
  • Table 16 Global Composite AI Market Outlook, By Predictive Maintenance (2024-2032) ($MN)
  • Table 17 Global Composite AI Market Outlook, By Security & Surveillance (2024-2032) ($MN)
  • Table 18 Global Composite AI Market Outlook, By Customer Service (2024-2032) ($MN)
  • Table 19 Global Composite AI Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 20 Global Composite AI Market Outlook, By End User (2024-2032) ($MN)
  • Table 21 Global Composite AI Market Outlook, By BFSI (2024-2032) ($MN)
  • Table 22 Global Composite AI Market Outlook, By Telecommunications (2024-2032) ($MN)
  • Table 23 Global Composite AI Market Outlook, By Retail & eCommerce (2024-2032) ($MN)
  • Table 24 Global Composite AI Market Outlook, By Healthcare & Lifesciences (2024-2032) ($MN)
  • Table 25 Global Composite AI Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 26 Global Composite AI Market Outlook, By Energy & Power (2024-2032) ($MN)
  • Table 27 Global Composite AI Market Outlook, By Transportation & Logistics (2024-2032) ($MN)
  • Table 28 Global Composite AI Market Outlook, By Government & Defense (2024-2032) ($MN)
  • Table 29 Global Composite AI Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 30 Global Composite AI Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.