表紙:複合AIの市場規模、シェア、成長分析、提供別、技術別、用途別、業界別、地域別 - 産業予測、2025年~2032年
市場調査レポート
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1780229

複合AIの市場規模、シェア、成長分析、提供別、技術別、用途別、業界別、地域別 - 産業予測、2025年~2032年

Composite AI Market Size, Share, and Growth Analysis, By Offering (Hardware, Software), By Technique (Conditioned Monitoring, Pattern Recognition), By Application, By Vertical, By Region - Industry Forecast 2025-2032


出版日
発行
SkyQuest
ページ情報
英文 173 Pages
納期
3~5営業日
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=148.84円
複合AIの市場規模、シェア、成長分析、提供別、技術別、用途別、業界別、地域別 - 産業予測、2025年~2032年
出版日: 2025年07月28日
発行: SkyQuest
ページ情報: 英文 173 Pages
納期: 3~5営業日
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概要

複合AIの世界市場規模は2023年に8億米ドルと評価され、2024年の10億9,000万米ドルから2032年には134億2,000万米ドルに成長し、予測期間(2025-2032年)のCAGRは36.8%で成長する見通しです。

世界の複合AI市場は、企業が複雑なビジネス課題に対処するために複数の技術を駆使したAIシステムを採用する傾向が強まっており、大きな拡大を見せています。機械学習、自然言語処理、記号推論などの技術を統合することで、複合AIは意思決定の強化、文脈理解の向上、自動化の強化を実現します。組織は、増大する非構造化データを処理するために、洗練されたAIソリューションを求めざるを得ず、複合AIは好ましいアプローチとなっています。その利点は、成果の向上、コスト削減、競争力の強化など、さまざまな分野に及んでいます。さらに、説明可能で透明性の高いAIシステムに対する需要は、規制の枠組みや倫理的ガイドラインが解釈可能性を必要とすることから、採用を促進しています。その結果、複合AIは、ガバナンス、リスク管理、信頼性とともにパフォーマンスを重視し、企業のAI戦略の要に急速になりつつあります。

目次

イントロダクション

  • 調査の目的
  • 調査範囲
  • 定義

調査手法

  • 情報調達
  • 二次と一次データの方法
  • 市場規模予測
  • 市場の前提条件と制限

エグゼクティブサマリー

  • 世界市場の見通し
  • 供給と需要の動向分析
  • セグメント別機会分析

市場力学と見通し

  • 市場概要
  • 市場規模
  • 市場力学
    • 促進要因と機会
    • 抑制要因と課題
  • ポーターの分析

主な市場の考察

  • 重要成功要因
  • 競合の程度
  • 主な投資機会
  • 市場エコシステム
  • 市場の魅力指数(2024年)
  • PESTEL分析
  • マクロ経済指標
  • バリューチェーン分析
  • 価格分析
  • ケーススタディ

複合AI市場規模:提供別& CAGR(2025-2032)

  • 市場概要
  • ハードウェア
    • プロセッサ
    • メモリユニット
    • ネットワーク
    • その他のハードウェア
  • ソフトウェア
    • 機械学習フレームワーク
    • AI開発プラットフォームとツール
    • AIミドルウェア
    • その他のソフトウェア
  • サービス
    • トレーニングとコンサルティング
    • システム統合と実装
    • サポートとメンテナンス

複合AI市場規模:技術別& CAGR(2025-2032)

  • 市場概要
  • 条件付きモニタリング
  • パターン認識
  • データ処理
  • 積極的なメカニズム
  • データマイニングと機械学習
  • その他の技術

複合AI市場規模:用途別& CAGR(2025-2032)

  • 市場概要
  • 製品設計・開発
  • 品質管理
  • 予知保全
  • セキュリティと監視
  • 顧客サービス
  • その他の用途

複合AI市場規模:業界別& CAGR(2025-2032)

  • 市場概要
  • BFSI
  • 小売業と電子商取引
  • 製造業
  • エネルギーと公益事業
  • 運輸・物流
  • ヘルスケアとライフサイエンス
  • メディアとエンターテイメント
  • 政府と防衛
  • 通信
  • その他の業界

複合AI市場規模:地域別& CAGR(2025-2032)

  • 北米
    • 米国
    • カナダ
  • 欧州
    • ドイツ
    • スペイン
    • フランス
    • 英国
    • イタリア
    • その他欧州地域
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • ラテンアメリカ
    • ブラジル
    • その他ラテンアメリカ地域
  • 中東・アフリカ
    • GCC諸国
    • 南アフリカ
    • その他中東・アフリカ

競合情報

  • 上位5社の比較
  • 主要企業の市場ポジショニング(2024年)
  • 主な市場企業が採用した戦略
  • 最近の市場動向
  • 企業の市場シェア分析(2024年)
  • 主要企業の企業プロファイル
    • 企業の詳細
    • 製品ポートフォリオ分析
    • 企業のセグメント別シェア分析
    • 収益の前年比比較(2022-2024年)

主要企業プロファイル

  • IBM
  • SAS Institute
  • Microsoft
  • Google
  • AWS
  • Salesforce
  • Oracle
  • Opentext
  • SAP
  • HPE
  • PEGA
  • Nvidia
  • Intel
  • Uipath
  • Zest AI
  • Datarobot
  • H20.Ai
  • Squirro

結論と提言

目次
Product Code: SQMIG45E2403

Global Composite AI Market size was valued at USD 0.8 billion in 2023 and is poised to grow from USD 1.09 billion in 2024 to USD 13.42 billion by 2032, growing at a CAGR of 36.8% during the forecast period (2025-2032).

The global composite AI market is experiencing significant expansion as organizations increasingly adopt multi-technique AI systems to address intricate business challenges. By integrating techniques such as machine learning, natural language processing, and symbolic reasoning, composite AI offers enhanced decision-making, better contextual understanding, and greater automation. Organizations are compelled to seek sophisticated AI solutions to handle escalating volumes of unstructured data, making composite AI a preferred approach. Its advantages span various sectors, including improved outcomes, cost reductions, and enhanced competitive positioning. Furthermore, the demand for explainable and transparent AI systems is driving adoption, as regulatory frameworks and ethical guidelines necessitate interpretability. Consequently, composite AI is rapidly becoming a cornerstone of enterprise AI strategies, emphasizing performance alongside governance, risk management, and trustworthiness.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Composite AI market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets 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.

Global Composite AI Market Segments Analysis

Global Composite AI Market is segmented by Offering, Technique, Application, Vertical and region. Based on Offering, the market is segmented into Hardware, Software and Services. Based on Technique, the market is segmented into Conditioned Monitoring, Pattern Recognition, Data Processing, Proactive Mechanism, Data Mining & Machine Learning and Other Techniques. Based on Application, the market is segmented into Product Design & Development, Quality Control, Predictive Maintenance, Security & Surveillance, Customer Service and Other Applications. Based on Vertical, the market is segmented into BFSI, Retail And Ecommerce, Manufacturing, Energy And Utilities, Transportation And Logistics, Healthcare And Life Sciences, Media And Entertainment, Government And Defense, Telecom and Other Verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Composite AI Market

The Global Composite AI market is experiencing significant growth due to the increasing demand for accurate and personalized decision-making within various organizations and sectors. By integrating multiple AI techniques, such as machine learning and natural language processing, businesses are able to extract deeper insights, streamline complex processes, and enhance overall efficiency. This multifaceted approach to AI is fostering substantial demand in a variety of industries, including finance, healthcare, manufacturing, and retail, as companies strive to leverage these advanced technologies to stay competitive and drive innovation. The evolution of Composite AI is thus reshaping how organizations operate and make informed strategic choices.

Restraints in the Global Composite AI Market

The Global Composite AI market faces challenges stemming from the intricate nature of integrating diverse AI models and frameworks. This complexity can create significant hurdles for organizations during the deployment and operational phases, as issues related to compatibility, harmonization, and coordination may arise. Such challenges often extend the anticipated timelines for implementation and heighten the dependency on specialized expertise. Consequently, organizations must navigate these obstacles carefully to maximize the potential of Composite AI, balancing the need for advanced capabilities with the practical demands of successful deployment and integration.

Market Trends of the Global Composite AI Market

The Global Composite AI market is witnessing a significant surge as organizations increasingly adopt multi-technique AI models that integrate machine learning, natural language processing, and symbolic AI. This trend is driven by the need to tackle complex challenges with enhanced precision, leading to a heightened demand for customizable and modular AI platforms tailored to specific industry applications. As businesses recognize the limitations of single-method AI approaches, they are investing in composite frameworks that offer robust solutions, thereby catalyzing innovation and efficiency across diverse sectors. This evolution reflects a strategic shift towards more holistic and adaptive AI systems, positioning Composite AI as a key driver of future technological advancements.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2024
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis
  • Case Studies

Global Composite AI Market Size by Offering & CAGR (2025-2032)

  • Market Overview
  • Hardware
    • Processors
    • Memory Units
    • Networks
    • Other Hardware
  • Software
    • Machine Learning Frameworks
    • AI Development Platforms and Tools
    • AI Middleware
    • Other Software
  • Services
    • Training And Consulting
    • System Integration and Implementation
    • Support And Maintenance

Global Composite AI Market Size by Technique & CAGR (2025-2032)

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

Global Composite AI Market Size by Application & CAGR (2025-2032)

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

Global Composite AI Market Size by Vertical & CAGR (2025-2032)

  • Market Overview
  • BFSI
  • Retail And Ecommerce
  • Manufacturing
  • Energy And Utilities
  • Transportation And Logistics
  • Healthcare And Life Sciences
  • Media And Entertainment
  • Government And Defense
  • Telecom
  • Other Verticals

Global Composite AI Market Size & CAGR (2025-2032)

  • North America (Offering, Technique, Application, Vertical)
    • US
    • Canada
  • Europe (Offering, Technique, Application, Vertical)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Offering, Technique, Application, Vertical)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Offering, Technique, Application, Vertical)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Offering, Technique, Application, Vertical)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2024
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2024
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

  • IBM
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAS Institute
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Google
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • AWS
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Salesforce
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Oracle
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Opentext
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAP
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • HPE
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • PEGA
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Nvidia
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Intel
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Uipath
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Zest AI
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Datarobot
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • H20.Ai
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Squirro
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations