マルチモーダルAI市場- 世界の産業規模、シェア、動向、機会、予測、マルチモーダルタイプ別、モダリティタイプ別、業界別、地域別、競合別、2020-2030年

マルチモーダルAIの世界市場規模は、2024年に32億6,000万米ドル、2030年には228億8,000万米ドルに達し、予測期間中のCAGRは38.37%で成長すると予測されています。

マルチモーダルAIは、テキスト、画像、音声、動画、センサー入力など、複数の形式のデータを同時に処理・理解できるシステムを包含します。単一のデータ型で動作する従来のAIモデルとは異なり、マルチモーダルAIは多様な入力を統合することで人間の認知を模倣し、より豊かで文脈を意識した洞察を生み出します。このテクノロジーは、音声アシスタント、自律走行車、ヘルスケア、監視、カスタマーサービス、コンテンツ制作など、あらゆる分野のアプリケーションを大幅に強化します。OpenAIのGPT-4o、GoogleのGemini、AnthropicのClaudeのような主要なプラットフォームは、推論、対話性、意思決定を改善するためにテキスト、視覚、聴覚データを組み合わせることによって、この進化の先駆者となっています。市場は、マルチモーダルデータセットの拡大、ディープラーニングの革新、業界全体にわたる人間中心のAIソリューションに対する需要の高まりにより、急速な成長を目の当たりにしています。

市場促進要因

業界全体におけるデータの多様性と量の急増

主な市場課題

データの整合性と統合の複雑性

主要市場動向

マルチモーダルAIとジェネレーティブ技術の融合

目次

第1章 ソリューションの概要

• 市場の定義
• 市場の範囲
  • 対象市場
  • 調査対象年
  • 主要市場セグメンテーション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

第5章 世界のマルチモーダルAI市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • マルチモーダルタイプ別（説明型マルチモーダルAI、生成型マルチモーダルAI、対話型マルチモーダルAI、翻訳型マルチモーダルAI）
  • モダリティタイプ別（音声データ、画像データ、テキストデータ、ビデオデータ）
  • 業界別（BFSI、自動車、通信、小売・eコマース、製造、ヘルスケア、メディア・エンターテイメント、その他）
  • 地域別（北米、欧州、南米、中東・アフリカ、アジア太平洋）
• 企業別（2024）
• 市場マップ

第6章 北米のマルチモーダルAI市場展望

• 市場規模・予測
• 市場シェア・予測
• 北米：国別分析
  • 米国
  • カナダ
  • メキシコ

第7章 欧州のマルチモーダルAI市場展望

• 市場規模・予測
• 市場シェア・予測
• 欧州：国別分析
  • ドイツ
  • フランス
  • 英国
  • イタリア
  • スペイン

第8章 アジア太平洋地域のマルチモーダルAI市場展望

• 市場規模・予測
• 市場シェア・予測
• アジア太平洋地域：国別分析
  • 中国
  • インド
  • 日本
  • 韓国
  • オーストラリア

第9章 中東・アフリカのマルチモーダルAI市場展望

• 市場規模・予測
• 市場シェア・予測
• 中東・アフリカ：国別分析
  • サウジアラビア
  • アラブ首長国連邦
  • 南アフリカ

第10章 南米のマルチモーダルAI市場展望

• 市場規模・予測
• 市場シェア・予測
• 南米：国別分析
  • ブラジル
  • コロンビア
  • アルゼンチン

第11章 市場力学

• 促進要因
• 課題

第12章 市場動向と発展

• 合併と買収
• 製品上市
• 最近の動向

第13章 企業プロファイル

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

第14章 戦略的提言

第15章 調査会社について・免責事項

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.

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