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多模態人工智慧市場－全球產業規模、佔有率、趨勢、機會及預測（以多模態類型、按模態類型、按垂直產業、按地區及競爭格局），2020-2030 年預測

Multimodal AI Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, By Multimodal Type, By Modality Type, By Vertical, By Region & Competition, 2020-2030F
出版日期: | 出版商: TechSci Research | 英文 185 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024 年全球多模態人工智慧市場規模為 32.6 億美元，預計到 2030 年將達到 228.8 億美元，預測期內的複合年成長率為 38.37%。多模態人工智慧是指能夠同時處理和理解多種資料形式（例如文字、影像、音訊、視訊和感測器輸入）的系統。與僅處理單一資料類型的傳統人工智慧模型不同，多模式人工智慧透過整合多種輸入來模擬人類認知，從而產生更豐富、更具情境感知能力的洞察。這項技術顯著增強了語音助理、自動駕駛汽車、醫療保健、監控、客戶服務和內容創作等各領域的應用。 OpenAI 的 GPT-4o、Google的 Gemini 和 Anthropic 的 Claude 等領先平台正在引領這項變革，它們結合文字、視覺和聽覺資料來改善推理、互動和決策能力。由於多模式資料集的不斷擴大、深度學習的創新以及各行各業對以人為本的人工智慧解決方案的需求不斷成長，市場正在經歷快速成長。

市場概覽
預測期 2026-2030
2024年市場規模 32.6億美元
2030年市場規模 228.8億美元
2025-2030 年複合年成長率 38.37%
成長最快的領域 金融服務業
最大的市場 北美洲

關鍵市場促進因素

各行業數據種類及數量激增

主要市場挑戰

數據對齊和整合複雜性

主要市場趨勢

多模態人工智慧與生成技術的融合

目錄

第 1 章：解決方案概述

  • 市場定義
  • 市場範圍
    • 覆蓋市場
    • 考慮學習的年限
    • 主要市場區隔

第2章：研究方法

第3章：執行摘要

第4章：顧客之聲

第5章：全球多模態人工智慧市場展望

  • 市場規模和預測
    • 按價值
  • 市場佔有率和預測
    • 依多模態類型（解釋性多模態 AI、生成性多模態 AI、互動式多模態 AI、翻譯性多模態 AI）
    • 依模態類型（音訊和語音資料、圖像資料、文字資料、視訊資料）
    • 按垂直產業（BFSI、汽車、電信、零售和電子商務、製造、醫療保健、媒體和娛樂、其他）
    • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
  • 按公司分類（2024）
  • 市場地圖

第6章：北美多模態人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲多模態人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太多模態人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東和非洲多模態人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美多模態人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第 11 章：市場動態

  • 驅動程式
  • 挑戰

第 12 章：市場趨勢與發展

  • 合併與收購（如有）
  • 產品發布（如有）
  • 最新動態

第13章：公司簡介

  • OpenAI, LP
  • Google LLC
  • Meta Platforms, Inc.
  • Microsoft Corporation
  • IBM Corporation
  • Apple Inc.
  • NVIDIA Corporation
  • Salesforce, Inc.
  • Baidu, Inc.
  • Adobe Inc.

第 14 章：策略建議

第15章調查會社について,免責事項

簡介目錄
Product Code: 29844

The Global Multimodal AI Market was valued at USD 3.26 billion in 2024 and is projected to reach USD 22.88 billion by 2030, growing at a CAGR of 38.37% during the forecast period. Multimodal AI encompasses systems capable of simultaneously processing and understanding multiple forms of data-such as text, images, audio, video, and sensor inputs. Unlike traditional AI models that work with a single data type, multimodal AI mimics human cognition by integrating diverse inputs to produce richer, context-aware insights. This technology significantly enhances applications across sectors including voice assistants, autonomous vehicles, healthcare, surveillance, customer service, and content creation. Leading platforms like OpenAI's GPT-4o, Google's Gemini, and Anthropic's Claude are pioneering this evolution by combining textual, visual, and auditory data to improve reasoning, interactivity, and decision-making. The market is witnessing rapid growth due to expanding multimodal datasets, innovations in deep learning, and rising demand for human-centric AI solutions across industries.

Market Overview
Forecast Period2026-2030
Market Size 2024USD 3.26 Billion
Market Size 2030USD 22.88 Billion
CAGR 2025-203038.37%
Fastest Growing SegmentBFSI
Largest MarketNorth America

Key Market Drivers

Surge in Data Variety and Volume Across Industries

The exponential growth of digital transformation has led to an unprecedented increase in the volume and diversity of data generated across industries. Organizations now routinely process structured and unstructured data from emails, documents, medical images, social media content, voice recordings, and IoT sensors. This diversity necessitates AI models capable of integrating and interpreting multiple data types. Multimodal AI systems are uniquely equipped for this task, enabling businesses to extract deeper insights, improve automation, and make more accurate decisions by analyzing data in a more holistic context.

Key Market Challenges

Data Alignment and Integration Complexity

Integrating multiple data modalities into a unified AI model remains a complex and resource-intensive challenge. Each modality-be it audio, video, text, or image-has its own structure, timing, and contextual behavior. Aligning spoken language with facial expressions or correlating medical scans with patient records requires advanced synchronization, preprocessing, and normalization techniques. Issues like inconsistent metadata, missing timestamps, and varying file formats complicate large-scale or real-time implementation, making multimodal deployment technically demanding and often expensive to scale.

Key Market Trends

Convergence of Multimodal AI with Generative Technologies

A major trend in the multimodal AI landscape is the integration of generative capabilities. Emerging foundation models such as OpenAI's GPT-4o, Google's Gemini, and Meta's LLaVA now feature built-in multimodal functionality, enabling them to process and generate content across text, images, audio, and video. This convergence is reshaping enterprise use cases, from hyper-personalized marketing to virtual agents capable of responding to both verbal and visual cues. In healthcare, multimodal generative AI can assist with documentation by analyzing speech, diagnostic images, and electronic health records in tandem. As generative AI tools become standard across sectors, the inclusion of multimodal features is transforming the way businesses approach AI integration, strategy, and innovation.

Key Market Players

  • OpenAI, L.P.
  • Google LLC
  • Meta Platforms, Inc.
  • Microsoft Corporation
  • IBM Corporation
  • Apple Inc.
  • NVIDIA Corporation
  • Salesforce, Inc.
  • Baidu, Inc.
  • Adobe Inc.

Report Scope:

In this report, the Global Multimodal AI Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Multimodal AI Market, By Multimodal Type:

  • Explanatory Multimodal AI
  • Generative Multimodal AI
  • Interactive Multimodal AI
  • Translative Multimodal AI

Multimodal AI Market, By Modality Type:

  • Audio & Speech Data
  • Image Data
  • Text Data
  • Video Data

Multimodal AI Market, By Vertical:

  • BFSI
  • Automotive
  • Telecommunications
  • Retail & eCommerce
  • Manufacturing
  • Healthcare
  • Media & Entertainment
  • Others

Multimodal AI Market, By Region:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • South Africa
  • South America
    • Brazil
    • Colombia
    • Argentina

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Multimodal AI Market.

Available Customizations:

Global Multimodal AI Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Solution Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, and Trends

4. Voice of Customer

5. Global Multimodal AI Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Multimodal Type (Explanatory Multimodal AI, Generative Multimodal AI, Interactive Multimodal AI, Translative Multimodal AI)
    • 5.2.2. By Modality Type (Audio & Speech Data, Image Data, Text Data, Video Data)
    • 5.2.3. By Vertical (BFSI, Automotive, Telecommunications, Retail & eCommerce, Manufacturing, Healthcare, Media & Entertainment, Others)
    • 5.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
  • 5.3. By Company (2024)
  • 5.4. Market Map

6. North America Multimodal AI Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Multimodal Type
    • 6.2.2. By Modality Type
    • 6.2.3. By Vertical
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Multimodal AI Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Multimodal Type
        • 6.3.1.2.2. By Modality Type
        • 6.3.1.2.3. By Vertical
    • 6.3.2. Canada Multimodal AI Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Multimodal Type
        • 6.3.2.2.2. By Modality Type
        • 6.3.2.2.3. By Vertical
    • 6.3.3. Mexico Multimodal AI Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Multimodal Type
        • 6.3.3.2.2. By Modality Type
        • 6.3.3.2.3. By Vertical

7. Europe Multimodal AI Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Multimodal Type
    • 7.2.2. By Modality Type
    • 7.2.3. By Vertical
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Multimodal AI Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Multimodal Type
        • 7.3.1.2.2. By Modality Type
        • 7.3.1.2.3. By Vertical
    • 7.3.2. France Multimodal AI Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Multimodal Type
        • 7.3.2.2.2. By Modality Type
        • 7.3.2.2.3. By Vertical
    • 7.3.3. United Kingdom Multimodal AI Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Multimodal Type
        • 7.3.3.2.2. By Modality Type
        • 7.3.3.2.3. By Vertical
    • 7.3.4. Italy Multimodal AI Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Multimodal Type
        • 7.3.4.2.2. By Modality Type
        • 7.3.4.2.3. By Vertical
    • 7.3.5. Spain Multimodal AI Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Multimodal Type
        • 7.3.5.2.2. By Modality Type
        • 7.3.5.2.3. By Vertical

8. Asia Pacific Multimodal AI Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Multimodal Type
    • 8.2.2. By Modality Type
    • 8.2.3. By Vertical
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Multimodal AI Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Multimodal Type
        • 8.3.1.2.2. By Modality Type
        • 8.3.1.2.3. By Vertical
    • 8.3.2. India Multimodal AI Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Multimodal Type
        • 8.3.2.2.2. By Modality Type
        • 8.3.2.2.3. By Vertical
    • 8.3.3. Japan Multimodal AI Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Multimodal Type
        • 8.3.3.2.2. By Modality Type
        • 8.3.3.2.3. By Vertical
    • 8.3.4. South Korea Multimodal AI Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Multimodal Type
        • 8.3.4.2.2. By Modality Type
        • 8.3.4.2.3. By Vertical
    • 8.3.5. Australia Multimodal AI Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Multimodal Type
        • 8.3.5.2.2. By Modality Type
        • 8.3.5.2.3. By Vertical

9. Middle East & Africa Multimodal AI Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Multimodal Type
    • 9.2.2. By Modality Type
    • 9.2.3. By Vertical
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Multimodal AI Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Multimodal Type
        • 9.3.1.2.2. By Modality Type
        • 9.3.1.2.3. By Vertical
    • 9.3.2. UAE Multimodal AI Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Multimodal Type
        • 9.3.2.2.2. By Modality Type
        • 9.3.2.2.3. By Vertical
    • 9.3.3. South Africa Multimodal AI Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Multimodal Type
        • 9.3.3.2.2. By Modality Type
        • 9.3.3.2.3. By Vertical

10. South America Multimodal AI Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Multimodal Type
    • 10.2.2. By Modality Type
    • 10.2.3. By Vertical
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Multimodal AI Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Multimodal Type
        • 10.3.1.2.2. By Modality Type
        • 10.3.1.2.3. By Vertical
    • 10.3.2. Colombia Multimodal AI Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Multimodal Type
        • 10.3.2.2.2. By Modality Type
        • 10.3.2.2.3. By Vertical
    • 10.3.3. Argentina Multimodal AI Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Multimodal Type
        • 10.3.3.2.2. By Modality Type
        • 10.3.3.2.3. By Vertical

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends and Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Company Profiles

  • 13.1. OpenAI, L.P.
    • 13.1.1. Business Overview
    • 13.1.2. Key Revenue and Financials
    • 13.1.3. Recent Developments
    • 13.1.4. Key Personnel
    • 13.1.5. Key Product/Services Offered
  • 13.2. Google LLC
  • 13.3. Meta Platforms, Inc.
  • 13.4. Microsoft Corporation
  • 13.5. IBM Corporation
  • 13.6. Apple Inc.
  • 13.7. NVIDIA Corporation
  • 13.8. Salesforce, Inc.
  • 13.9. Baidu, Inc.
  • 13.10. Adobe Inc.

14. Strategic Recommendations

15. About Us & Disclaimer