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市场调查报告书
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多模态人工智慧市场-全球产业规模、份额、趋势、机会及预测(以多模态类型、按模态类型、按垂直产业、按地区及竞争格局),2020-2030 年预测

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个工作天内

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简介目录

2024 年全球多模态人工智慧市场规模为 32.6 亿美元,预计到 2030 年将达到 228.8 亿美元,预测期内的复合年增长率为 38.37%。多模态人工智慧是指能够同时处理和理解多种资料形式(例如文字、影像、音讯、视讯和感测器输入)的系统。与仅处理单一资料类型的传统人工智慧模型不同,多模式人工智慧透过整合多种输入来模拟人类认知,从而产生更丰富、更具情境感知能力的洞察。这项技术显着增强了语音助理、自动驾驶汽车、医疗保健、监控、客户服务和内容创作等各领域的应用。 OpenAI 的 GPT-4o、Google的 Gemini 和 Anthropic 的 Claude 等领先平台正在引领这项变革,它们结合文字、视觉和听觉资料来改善推理、互动和决策能力。由于多模式资料集的不断扩大、深度学习的创新以及各行各业对以人为本的人工智慧解决方案的需求不断增长,市场正在经历快速增长。

市场概览
预测期 2026-2030
2024年市场规模 32.6亿美元
2030年市场规模 228.8亿美元
2025-2030 年复合年增长率 38.37%
成长最快的领域 金融服务业
最大的市场 北美洲

关键市场驱动因素

各行业数据种类及数量激增

主要市场挑战

数据对齐和整合复杂性

主要市场趋势

多模态人工智慧与生成技术的融合

目录

第 1 章:解决方案概述

  • 市场定义
  • 市场范围
    • 覆盖市场
    • 考虑学习的年限
    • 主要市场区隔

第二章:研究方法

第三章:执行摘要

第四章:顾客之声

第五章:全球多模态人工智慧市场展望

  • 市场规模和预测
    • 按价值
  • 市场占有率和预测
    • 依多模态类型(解释性多模态 AI、生成性多模态 AI、互动式多模态 AI、翻译性多模态 AI)
    • 依模态类型(音讯和语音资料、图像资料、文字资料、视讯资料)
    • 按垂直产业(BFSI、汽车、电信、零售和电子商务、製造、医疗保健、媒体和娱乐、其他)
    • 按地区(北美、欧洲、南美、中东和非洲、亚太地区)
  • 按公司分类(2024)
  • 市场地图

第六章:北美多模态人工智慧市场展望

  • 市场规模和预测
  • 市场占有率和预测
  • 北美:国家分析
    • 美国
    • 加拿大
    • 墨西哥

第七章:欧洲多模态人工智慧市场展望

  • 市场规模和预测
  • 市场占有率和预测
  • 欧洲:国家分析
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙

第八章:亚太多模态人工智慧市场展望

  • 市场规模和预测
  • 市场占有率和预测
  • 亚太地区:国家分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲

第九章:中东和非洲多模态人工智慧市场展望

  • 市场规模和预测
  • 市场占有率和预测
  • 中东和非洲:国家分析
    • 沙乌地阿拉伯
    • 阿联酋
    • 南非

第十章:南美多模态人工智慧市场展望

  • 市场规模和预测
  • 市场占有率和预测
  • 南美洲:国家分析
    • 巴西
    • 哥伦比亚
    • 阿根廷

第 11 章:市场动态

  • 驱动程式
  • 挑战

第 12 章:市场趋势与发展

  • 合併与收购(如有)
  • 产品发布(如有)
  • 最新动态

第十三章:公司简介

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

第 14 章:策略建议

第15章调查会社について・免责事项

简介目录
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