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マルチモーダルAIの世界市場、2024-2031年

Global Multimodal AI Market 2024-2031

出版日
ページ情報
英文 175 Pages
納期
2～3営業日
カスタマイズ可能
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=157.08円
マルチモーダルAIの世界市場、2024-2031年
出版日: 2024年02月15日
発行: Orion Market Research
ページ情報: 英文 175 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界のマルチモーダルAI市場は、予測期間（2024-2031年）に14.9％の大幅なCAGRで成長すると予測されます。テキスト、画像、音声のような多様なモダリティにまたがるデータ生成の向上に伴い、マルチモーダル生成AIモデルの採用が増加していることが、世界の市場の成長を支える主要因となっています。生成的なマルチモーダルAIソリューションの導入に注力する市場プレイヤーの増加は、市場の成長をさらに後押ししています。例えば、2023年3月、AWSとNVIDIAは、大規模なMLモデルの訓練と生成AIアプリケーション構築のための次世代インフラで協業しました。この協業は、最もスケーラブルでオンデマンドなAIインフラの開発に焦点を当てたもので、生成AIアプリケーションの開発と、これまで以上に複雑な大規模言語モデル（LLM）のトレーニングをサポートするように設計されています。AI技術への投資の増加は、市場成長に有利な機会を提供すると期待されています。

セグメント別展望

MLサブセグメントが世界のマルチモーダルAI市場でかなりのシェアを占めると予測される

技術の中でも、MLサブセグメントが世界のマルチモーダルAI市場でかなりのシェアを占めると予想されます。このセグメントの成長は、NLPとコンピュータビジョンを含むマルチモーダルAIを訓練するためのMLベースの開発システムの採用が増加していることに起因しています。大規模なAIモデル開発とトレーニングをサポートするためにAIインフラを採用するには、高度に並列化されたソフトウェアエコシステムのセットアップ、購入、保守を含む複数のステップが必要です。ヒューレット・パッカード・エンタープライズは2022年4月、HPEの新しいML開発システムを発表しました。この新システムは、マルチモーダルAIに特化して設計されたエンドツーエンドのソリューションで、ネットワーキング、アクセラレーター、計算、MLソフトウェアプラットフォームを組み合わせ、より正確なAIモデルをより迅速かつ大規模に作成・訓練します。こうした製品の投入は、市場セグメントの成長をさらに後押ししています。

地域別展望

世界のマルチモーダルAI市場は、北米（米国、カナダ）、欧州（英国、イタリア、スペイン、ドイツ、フランス、その他欧州地域）、アジア太平洋地域（インド、中国、日本、韓国、その他アジア地域）、その他世界地域（中東とアフリカ、ラテンアメリカ）を含む地域別にさらに細分化されます。このうち、アジア太平洋地域は予測期間中に最も高いCAGRを示すと予想されています。eコマース、ヘルスケア、金融などの用途でマルチモーダルAIの採用が拡大していることが、この地域市場の成長を後押ししています。

北米が世界のマルチモーダルAI市場で大きなシェアを占める

すべての地域の中で、北米は世界市場でかなりのシェアを占めています。同地域の市場シェアは、マルチモーダルAIソリューションの市場開拓と導入が進んでいることに起因しています。高コンバージョンのデジタル店頭を構築するためのステップバイステップの支援を提供し、地域全体で複数商品のカタログデータを管理するような複雑なタスクを自動化するためのマルチモーダルAIの需要の高まりが、地域別市場シェアにさらに貢献しています。2023年9月、セールスフォースは新しい生成AIを搭載した会話アシスタントEinstein Copilotaを発表しました。自然言語によるプロンプトを使用して、アインシュタイン・コパイロットは完全に多言語、パーソナライズされた製品プロモーション、SEOメタデータ生成を提供し、コンバージョンを促進し、自然言語プロンプトでストアフロントコンポーネントをカスタマイズして設計します。このような製品イノベーションは、地域市場の成長にさらに貢献しています。

目次

第1章 レポート概要

  • 業界の現状分析と成長ポテンシャルの展望
  • 調査方法とツール
  • 市場内訳
    • セグメント別
    • 地域別

第2章 市場概要と洞察

  • 調査範囲
  • アナリストの洞察と現在の市場動向
    • 主な調査結果
    • 推奨事項
    • 結論

第3章 競合情勢

  • 主要企業分析
  • Google LLC
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • Meta Platforms, Inc.
    • 会社概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • Microsoft Corp.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • 主要戦略分析

第4章 市場セグメンテーション

  • マルチモーダルAIの世界市場：コンポーネント別
    • ソフトウェア
    • サービス
  • マルチモーダルAIの世界市場：データモダリティ別
    • 画像データ
    • テキストデータ
    • 音声データ
    • 動画・音声データ
  • マルチモーダルAIの世界市場：技術別
    • ML
    • NLP
    • コンピュータービジョン
    • CA
    • IoT
  • マルチモーダルAIの世界市場：エンドユーザー別
    • メディア・エンターテインメント
    • BFSI
    • IT・通信
    • ヘルスケア
    • 自動車・輸送
    • その他（ゲーム）

第5章 地域分析

  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • イタリア
    • スペイン
    • フランス
    • その他欧州
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • 世界のその他の地域

第6章 企業プロファイル

  • Adobe Inc.
  • Affectiva, Inc.
  • Amazon.com, Inc.
  • Baidu, Inc.
  • Clarifai, Inc.
  • Cogniac Corp.
  • Deepgram, Inc.
  • IBM Corp.
  • iMerit Inc.
  • Indico Data Solutions, Inc.
  • Levity AI GmbH
  • Modzy, Inc.
  • NeuraFlash
  • Nvidia Corp.
  • OpenAIOpCo, LLC
  • Salesforce, Inc.
  • Shanghai SenseTime Intelligent Technology Co., Ltd.
  • Turing AI
  • UBIAI LLC
図表

LIST OF TABLES

  • 1.GLOBAL MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2023-2031 ($ MILLION)
  • 2.GLOBAL MULTIMODAL AI SOFTWARE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 3.GLOBAL MULTIMODAL AI SERVICEMARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 4.GLOBAL MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY DATA MODALITY, 2023-2031 ($ MILLION)
  • 5.GLOBAL MULTIMODAL AI IMAGE DATA MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 6.GLOBAL MULTIMODAL AI TEXT DATA MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 7.GLOBAL MULTIMODAL AI SPEECH & VOICE DATA MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 8.GLOBAL MULTIMODAL AI VIDEO & AUDIO DATA MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 9.GLOBAL MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2023-2031 ($ MILLION)
  • 10.GLOBAL MULTIMODAL AI BASED ON MACHINE LEARNING MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 11.GLOBAL MULTIMODAL AI BASED ON NATURAL LANGUAGE PROCESSING MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 12.GLOBAL MULTIMODAL AI BASED ON COMPUTER VISION MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 13.GLOBAL MULTIMODAL AI BASED ON CONTEXT AWARENESS MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 14.GLOBAL MULTIMODAL AI BASED ON INTERNET OF THINGS MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 15.GLOBAL MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY END-USERS, 2023-2031 ($ MILLION)
  • 16.GLOBAL MULTIMODAL AI FOR MEDIA & ENTERTAINMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 17.GLOBAL MULTIMODAL AI FOR BFSI MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 18.GLOBAL MULTIMODAL AI FOR IT & TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 19.GLOBAL MULTIMODAL AI FOR HEALTHCARE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 20.GLOBAL MULTIMODAL AI FOR AUTOMOTIVE & TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 21.GLOBAL MULTIMODAL AI FOR OTHERS END-USEREND-USERS MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 22.GLOBAL MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 23.NORTH AMERICAN MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2031 ($ MILLION)
  • 24.NORTH AMERICAN MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2023-2031 ($ MILLION)
  • 25.NORTH AMERICAN MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY DATA MODALITY, 2023-2031 ($ MILLION)
  • 26.NORTH AMERICAN MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2023-2031 ($ MILLION)
  • 27.NORTH AMERICAN MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY END-USER, 2023-2031 ($ MILLION)
  • 28.EUROPEAN MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2031 ($ MILLION)
  • 29.EUROPEAN MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2023-2031 ($ MILLION)
  • 30.EUROPEAN MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY DATA MODALITY, 2023-2031 ($ MILLION)
  • 31.EUROPEAN MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2023-2031 ($ MILLION)
  • 32.EUROPEAN MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY END-USER, 2023-2031 ($ MILLION)
  • 33.ASIA- PACIFIC MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2031 ($ MILLION)
  • 34.ASIA- PACIFIC MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2023-2031 ($ MILLION)
  • 35.ASIA- PACIFIC MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY DATA MODALITY, 2023-2031 ($ MILLION)
  • 36.ASIA- PACIFIC MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2023-2031 ($ MILLION)
  • 37.ASIA- PACIFIC MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY END-USER, 2023-2031 ($ MILLION)
  • 38.REST OF THE WORLD MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 39.REST OF THE WORLD MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2023-2031 ($ MILLION)
  • 40.REST OF THE WORLD MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY DATA MODALITY, 2023-2031 ($ MILLION)
  • 41.REST OF THE WORLD MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2023-2031 ($ MILLION)
  • 42.REST OF THE WORLD MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY END-USER, 2023-2031 ($ MILLION)

LIST OF FIGURES

  • 1.GLOBAL MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2023 VS 2031 (%)
  • 2.GLOBAL MULTIMODAL AI SOFTWARE MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 3.GLOBAL MULTIMODAL AI SERVICE MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 4.GLOBAL MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY DATA MODALITY, 2023 VS 2031 (%)
  • 5.GLOBAL MULTIMODAL AI IMAGE DATA MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 6.GLOBAL MULTIMODAL AI TEXT DATA MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 7.GLOBAL MULTIMODAL AI SPEECH & VOICE DATA MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 8.GLOBAL MULTIMODAL AI VIDEO & AUDIO DATA MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 9.GLOBAL MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2023 VS 2031 (%)
  • 10.GLOBAL MULTIMODAL AI BASED ON MACHINE LEARNING MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 11.GLOBAL MULTIMODAL AI BASED ON NATURAL LANGUAGE PROCESSING MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 12.GLOBAL MULTIMODAL AI BASED ON COMPUTER VISION MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 13.GLOBAL MULTIMODAL AI BASED ON CONTEXT AWARENESS MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 14.GLOBAL MULTIMODAL AI BASED ON INTERNET OF THINGS MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 15.GLOBAL MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY END-USER, 2023 VS 2031 (%)
  • 16.GLOBAL MULTIMODAL AI FOR MEDIA & ENTERTAINMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 17.GLOBAL MULTIMODAL AI FOR BFSI MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 18.GLOBAL MULTIMODAL AI FOR IT & TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 19.GLOBAL MULTIMODAL AI FOR HEALTHCARE MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 20.GLOBAL MULTIMODAL AI FOR AUTOMOTIVE & TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 21.GLOBAL MULTIMODAL AI FOR OTHERS END-USEREND-USERS MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 22.GLOBAL MULTIMODAL AI MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 23.US MULTIMODAL AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 24.CANADA MULTIMODAL AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 25.UK MULTIMODAL AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 26.FRANCE MULTIMODAL AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 27.GERMANY MULTIMODAL AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 28.ITALY MULTIMODAL AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 29.SPAIN MULTIMODAL AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 30.REST OF EUROPE MULTIMODAL AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 31.INDIA MULTIMODAL AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 32.CHINA MULTIMODAL AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 33.JAPAN MULTIMODAL AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 34.SOUTH KOREA MULTIMODAL AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 35.REST OF ASIA-PACIFIC MULTIMODAL AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 36.REST OF THE WORLD MULTIMODAL AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 37.LATIN AMERICA MULTIMODAL AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 38.MIDDLE EAST & AFRICA MULTIMODAL AI MARKET SIZE, 2023-2031 ($ MILLION)
目次
Product Code: OMR2028148

Global Multimodal AI Market Size, Share & Trends Analysis Report by Component (Software and Service), by Data Modality (Image Data, Text Data, Speech & Voice Data and Video & Audio Data), by Technology (Machine Learning, Natural Language Processing, Computer Vision, Context Awareness and Internet of Things), and by End User (Media & Entertainment, BFSI, IT & Telecommunication, Healthcare, Automotive & Transportation and Others), Forecast Period (2024-2031)

The global multimodal AI market is anticipated to grow at a significant CAGR of 14.9% during the forecast period (2024-2031). The growing adoption of multimodal generative AI models with the improving producing data across diverse modalities like texts, images, and audio is a key factor supporting the growth of the market globally. The increasing focus of market players on introducing generative multimodal AI solutions is further aiding to the market growth. For instance, in March 2023, AWS and NVIDIA collaborated on next-generation Infrastructure for training large machine-learning models and building generative AI applications. The collaboration focused on developing the most scalable, on-demand artificial intelligence (AI) infrastructure that was designed to support the development of generative AI applications and the training of ever-more-complex large language models (LLMs). The increasing investment in AI technology is expected to offer lucrative opportunity to the market growth.

Private Investment in AI by Geographic Area, 2022

Source:Artificial Intelligence Index Report 2023

Segmental Outlook

The global multimodal AI market is segmented on the component, data modality, technology and end user. Basedon the component, the market is sub-segmented into software and service. Based on the data modality, the market is sub-segmented into image data, text data, speech & voice data and video & audio data. Based on the technology, the market is sub-segmented into machine learning, natural language processing, computer vision, context awareness and internet of things. Further, on the basis of end user, the market is sub-segmented into media & entertainment, BFSI, IT & telecommunication, healthcare, automotive & transportation and others (gaming). Among the end users, the BFSI sub-segment is anticipated to hold a considerable share of the market owing to the increasing adoption of multimodel AI in fraud detection and customer service automation by analyzing textual, vocal, and transactional data.

The Machine Learning Sub-Segment is Anticipated to Hold a Considerable Share of the Global Multimodal AI Market

Among the technology, the machine learning sub-segment is expected to hold a considerable share of the global multimodal AI market. The segmental growth is attributed to the increasing adoption of machine learning-based development systems to train multimodal AI, which includes natural language processing (NLP) and computer vision. Adopting AI infrastructure for supporting AI model development and training at scale, requires a multi-step procedure that includes setting up, buying, and maintaining a highly parallel software ecosystem. In April 2022, Hewlett Packard Enterprise introduced a new HPE machine learning development system.The new system is an end-to-end solution designed specifically for multimodal AI that combines networking, accelerators, computation, and a machine learning software platform to create and train more accurate AI models more quickly and at scale. Such product launches are further aiding to the growth of the market segment.

Regional Outlook

The global multimodal AI market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America. Among these, Asia-Pacific is anticipated to exhibit highest CAGR during the forecast period. The growing adoption of multimodal AI in applications such as e-commerce, healthcare, and finance drives the growth of the regional market.

North America Hols Considerable Share in the Global Multimodal AI Market

Among all regions, the North America holds considerable share in the global market. Regional market share is attributed to the high rate of development and implementation of multimodal AI solutions. The growing demand of multimodal AI to provide step-by-step assistance to build high-converting digital storefronts and automate complex tasks like managing multi-product catalog data across the region is further contributing to the regional market share. In September 2023, Salesforce launched Einstein Copilota new generative AI-powered conversational assistant. Using natural language prompts, Einstein Copilot completely offers multiple languages, personalized product promotions, and SEO metadata generation that drive conversions and customize and design storefront components with natural language prompts. Such product innovations are further contributing to the regional market growth.

Market Players Outlook

The major companies serving the multimodal AI market include Google LLC, IBM Corp., Meta Platforms, Inc., Microsoft Corp., OpenAIOpCo, LLC, and others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in May 2023, Appen Ltd. and Reka AI partnered to build customized multi-modal LLM Applications. For enterprises, Appen and Reka have developed a complete and functional generative AI solution.

The Report Covers:

  • Market value data analysis of 2023 and forecast to 2031.
  • Annualized market revenues ($ million) for each market segment.
  • Country-wise analysis of major geographical regions.
  • Key companies operating in the global multimodal AImarket. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
  • Analysis of market-entry and market expansion strategies.
  • Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1.Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1.Research Methods and Tools
  • 1.2.Market Breakdown
    • 1.2.1.By Segments
    • 1.2.2.By Region

2.Market Overview and Insights

  • 2.1.Scope of the Report
  • 2.2.Analyst Insight & Current Market Trends
    • 2.2.1.Key Findings
    • 2.2.2.Recommendations
    • 2.2.3.Conclusion

3.Competitive Landscape

  • 3.1.Key Company Analysis
  • 3.2.Google LLC
    • 3.2.1.Overview
    • 3.2.2.Financial Analysis
    • 3.2.3.SWOT Analysis
    • 3.2.4.Recent Developments
  • 3.3.Meta Platforms, Inc.
    • 3.3.1.Overview
    • 3.3.2.Financial Analysis
    • 3.3.3.SWOT Analysis
    • 3.3.4.Recent Developments
  • 3.4.Microsoft Corp.
    • 3.4.1.Overview
    • 3.4.2.Financial Analysis
    • 3.4.3.SWOT Analysis
    • 3.4.4.Recent Developments
  • 3.5.Key Strategy Analysis

4.Market Segmentation

  • 4.1.Global Multimodal AI Market by Component
    • 4.1.1.Software
    • 4.1.2.Service
  • 4.2.Global Multimodal AI Market by Data Modality
    • 4.2.1.Image Data
    • 4.2.2.Text Data
    • 4.2.3.Speech & Voice Data
    • 4.2.4.Video & Audio Data
  • 4.3.Global Multimodal AI Market by Technology
    • 4.3.1.Machine Learning
    • 4.3.2.Natural Language Processing
    • 4.3.3.Computer Vision
    • 4.3.4.Context Awareness
    • 4.3.5.Internet of Things
  • 4.4.Global Multimodal AI Market by End-User
    • 4.4.1.Media & Entertainment
    • 4.4.2.BFSI
    • 4.4.3.IT & Telecommunication
    • 4.4.4.Healthcare
    • 4.4.5.Automotive & Transportation
    • 4.4.6.Others (Gaming)

5.Regional Analysis

  • 5.1.North America
    • 5.1.1.United States
    • 5.1.2.Canada
  • 5.2.Europe
    • 5.2.1.UK
    • 5.2.2.Germany
    • 5.2.3.Italy
    • 5.2.4.Spain
    • 5.2.5.France
    • 5.2.6.Rest of Europe
  • 5.3.Asia-Pacific
    • 5.3.1.China
    • 5.3.2.India
    • 5.3.3.Japan
    • 5.3.4.South Korea
    • 5.3.5.Rest of Asia-Pacific
  • 5.4.Rest of the World

6.Company Profiles

  • 6.1.Adobe Inc.
  • 6.2.Affectiva, Inc.
  • 6.3.Amazon.com, Inc.
  • 6.4.Baidu, Inc.
  • 6.5.Clarifai, Inc.
  • 6.6.Cogniac Corp.
  • 6.7.Deepgram, Inc.
  • 6.8.IBM Corp.
  • 6.9.iMerit Inc.
  • 6.10.Indico Data Solutions, Inc.
  • 6.11.Levity AI GmbH
  • 6.12.Modzy, Inc.
  • 6.13.NeuraFlash
  • 6.14.Nvidia Corp.
  • 6.15.OpenAIOpCo, LLC
  • 6.16.Salesforce, Inc.
  • 6.17.Shanghai SenseTime Intelligent Technology Co., Ltd.
  • 6.18.Turing AI
  • 6.19.UBIAI LLC