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市场调查报告书
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1766048

全球复杂人工智慧市场：未来预测（至 2032 年）—按产品、技术、应用、最终用户和地区进行分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球复杂人工智慧市场预计在 2025 年达到 18 亿美元，到 2032 年将达到 158 亿美元，预测期内的复合年增长率为 36.4%。

复合人工智慧是一种先进的方法，它整合了多种人工智慧技术，包括机器学习、自然语言处理和电脑视觉，以解决复杂问题。将多种人工智慧模型结合，可增强自主系统、医疗诊断和财务预测等应用的决策能力、适应性和准确性。这种整体框架充分利用了每个人工智慧组件的优势，从而提供更稳健、更可扩展的解决方案，模拟人类推理能力，应对现实世界中多方面的挑战。

根据《科技》杂誌的一份新报告，83% 的技术领导者认为整合人工智慧 (AI) 对于有效管理现代云端环境的复杂性至关重要。

对预测分析的需求不断增长

随着商业环境日益复杂，对预测分析的需求也呈现爆炸性成长。企业正寻求利用历史数据来更准确地预测未来趋势和结果。这种日益增长的预见性需求涵盖了从金融、医疗保健到零售和製造业等各个领域。因此，采用通常由复杂人工智慧驱动的高阶分析工具，对于提升竞争优势至关重要。预测市场变化和消费者行为的能力是投资这些高阶解决方案的主要驱动力。

安装和维护成本高

复杂人工智慧市场的一个显着限制因素是其部署和持续维护的高昂成本。开发和部署精密复杂的人工智慧系统通常需要在专用硬体、软体许可证和高技能人才方面进行大量的前期投资。此外，这些人工智慧解决方案的复杂性要求持续监控、更新和最佳化，从而导致更高的营运成本。此外，将复杂人工智慧与现有IT基础设施整合的复杂性也增加了整体成本负担，并阻碍了其更广泛的应用。

人工智慧在智慧城市和物联网的应用

人工智慧在智慧城市计画和物联网 (IoT) 生态系统中的快速应用，为复合人工智慧市场带来了巨大的机会。智慧城市越来越依赖连网设备和数据分析来改善城市生活，而复合人工智慧可以提供处理这些海量资讯所需的智慧。从优化交通流量、管理能源消耗到改善公共和废弃物管理，人工智慧的角色正在迅速扩展。这些整合的人工智慧解决方案可以将原始数据转化为可操作的情报，从而推动城市环境的效率和创新。

与开放原始码人工智慧模型竞争

开放原始码AI模型日益普及和复杂化，对复合AI市场构成了重大威胁。这些模型免费提供，为希望部署AI解决方案而无需支付高额授权费用的企业提供了一种经济高效的选择。目前，许多开放原始码模型在效能和功能方面堪比商业产品，对专有复合AI产品构成了直接挑战。这种可近性可能会使小型企业能够利用AI，并稀释现有商业供应商的市场占有率。

COVID-19的影响：

新冠疫情的爆发显着影响了复杂人工智慧的市场动态。最初，由于企业专注于紧急危机管理，市场不确定性加剧，投资放缓。然而，疫情加速了各行各业的数位转型，并凸显了对数据主导洞察和自动化的迫切需求。企业转向复杂人工智慧来分析快速变化的市场状况并调整策略。儘管初期有所扰乱，但其长期影响却成为推动人工智慧更广泛应用的催化剂，因为企业意识到人工智慧在应对意外挑战和增强韧性方面的价值。

预计在预测期内软体部分将成为最大的部分。

由于人工智慧演算法和平台的持续创新为复合人工智慧解决方案提供了核心智能，预计软体领域将在预测期内占据最大的市场占有率。对复杂分析能力和智慧自动化工具日益增长的需求进一步巩固了该领域的主导地位。各公司正大力投资专用软体，以整合各种人工智慧技术并获得全面的洞察。云端基础的人工智慧软体的可访问性和可扩展性也在其广泛应用方面发挥关键作用。该领域为众多垂直产业的各种复合人工智慧应用提供了多功能的基础。

数据处理部门预计在预测期内实现最高复合年增长率

在预测期内，数据处理领域预计将呈现最高的成长率，这得益于数据量和复杂性的持续增长，并预计在预测期内实现最高的复合年增长率。复合人工智慧的有效利用高度依赖强大的资料提取、清理、转换和管理。该领域有助于准备高品质的资料集，这对于训练和部署准确的复合人工智慧模型至关重要。对即时数据处理和分析的需求也对该领域的快速成长做出了重大贡献。

比最大的地区

预计亚太地区将在预测期内占据最大的市场占有率，这得益于中国、印度和日本等国家经济的快速增长、数位化的不断提高以及对人工智慧技术的大力投资。该地区正经历智慧城市计画的快速发展和物联网的广泛应用，为复杂的人工智慧解决方案创造了肥沃的土壤。政府对技术进步的支持以及庞大的消费群进一步推动了市场扩张。该地区对技术创新和整合的关注，为其在全球复杂人工智慧市场的主导地位做出了重要贡献。

复合年增长率最高的地区：

预计北美地区在预测期内将呈现最高的复合年增长率，这得益于其在人工智慧领域的大量研发投入、领先科技公司的布局以及专注于先进人工智慧解决方案的新兴企业生态系统。各产业对新兴技术的高采用率以及积极主动的数位转型是关键驱动因素。该地区对数据主导决策的重视以及对高阶预测分析日益增长的需求是其高成长轨蹟的主要推动因素。各行业对复杂人工智慧的早期应用预计将推动北美地区的快速扩张。

免费客製化服务

本报告的所有订阅者均可享有以下免费自订选项之一：

  • 公司简介
    • 对其他公司（最多 3 家）进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 区域分类
    • 根据客户兴趣对主要国家市场进行估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第 2 章 简介

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 分析方法
  • 分析材料
    • 主要研究资料
    • 二手研究资讯来源
    • 先决条件

第三章市场走势分析

  • 介绍
  • 驱动程式
  • 限制因素
  • 市场机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代产品的威胁
  • 新参与企业的威胁
  • 企业之间的竞争

第五章 全球复合人工智慧市场（按产品提供）

  • 软体
  • 硬体
  • 服务

第六章 全球复杂人工智慧市场（按技术）

  • 条件监测
  • 模式识别
  • 资料处理
  • 主动机制
  • 资料探勘与机器学习
  • 其他技术

第七章 全球复杂人工智慧市场（按应用）

  • 产品设计与开发
  • 品管
  • 预测性维护
  • 安全与监控
  • 客户服务
  • 其他用途

第八章全球复合人工智慧市场（按最终用户）

  • BFSI
  • 通讯
  • 零售与电子商务
  • 医学与生命科学
  • 媒体与娱乐
  • 能源与电力
  • 运输/物流
  • 政府/国防
  • 製造业
  • 其他最终用户

第九章 全球复杂人工智慧市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十章：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併与收购（M&A）
  • 新产品发布
  • 扩张
  • 其他关键策略

第十一章 公司概况

  • 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.