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2021754

多模態生成式人工智慧市場預測至2034年：按模態、部署類型、應用和區域分類的全球分析

Multimodal Generative AI Market Forecasts to 2034 - Global Analysis By Modality (Text, Image, Audio, Video and Sensor Data), Deployment, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球多模態生成式人工智慧市場預計將在 2026 年達到 51 億美元，並在預測期內以 13.4% 的複合年成長率成長，到 2034 年達到 140 億美元。

多模態生成式人工智慧是指能夠解讀、處理和產生各種資料格式內容（包括文字、影像、音訊和影片）的前沿人工智慧系統。透過整合多種模態，這些模型能夠提供上下文豐富且智慧的輸出，支援諸如圖像轉文字、生成影片以及根據音訊提示創建視覺效果等任務。這種整合能夠改善人機交互，增強創造力，並簡化各領域的自動化流程。透過連結不同的輸入，多模態人工智慧能夠實現沉浸式體驗、輔助決策和創新應用，而這些對於單模態人工智慧模型而言是難以實現甚至無法實現的。

根據史丹佛 HAI AI 指數 2024，2023 年全球發布了 149 個基礎模型，是 2022 年發布的約 70 個模型的兩倍多。

對人工智慧驅動的內容創作的需求日益成長。

對人工智慧驅動的內容生成日益成長的需求，正推動多模態生成式人工智慧在媒體、行銷和娛樂領域的廣泛應用。企業正利用這些系統有效率地創建圖像、影片、文字和音頻，從而減少人工投入和營運成本。透過自動化創新工作流程並確保高品質的交付成果，企業可以提供個人化內容，增強用戶互動並提升品牌影響力。這種對可擴展、創新且經濟高效的內容解決方案的需求，正在推動數位行銷和創新產業中多模態人工智慧解決方案的蓬勃發展，使其成為現代企業不可或缺的工具。

計算成本高

多模態生成式人工智慧需要大量的運算資源，這是一大障礙。訓練和運行能夠同時處理文字、圖像和音訊的模型需要高性能GPU、大容量儲存和強大的網路，從而導致高昂的能源和營運成本。對於中小企業而言，這些成本往往難以承受，阻礙了其採用。持續的維護、更新和擴展進一步加重了財務負擔。因此，有效部署多模態人工智慧所需的基礎設施和資源高成本，正在減緩市場成長，使得企業難以採用這些先進解決方案，儘管它們具有潛在的優勢。

媒體和娛樂產業的擴張

媒體和娛樂產業可以利用多模態生成式人工智慧（AI）來創作涵蓋文字、視覺、音訊和影片等多種形式的多元化內容。串流媒體平台、遊戲工作室和製作公司可以透過AI實現內容創作自動化，從而節省時間並提升創造力。個人化故事、互動體驗和虛擬角色可以有效率地製作，進而提高觀眾參與度。此外，AI還能大規模簡化配音、字幕和內容在地化流程。隨著消費者對創新和互動內容的需求日益成長，多模態AI為推動創新、提高製作效率以及在娛樂和創新領域開闢新的收入來源提供了機會。

虛假資訊和深度造假的風險

多模態生成式人工智慧可能被濫用，用於製作深度造假、假新聞和操縱媒體，這構成重大威脅。此類內容傳播迅速，可能造成聲譽、經濟或社會損害。隨著監管力道的加大，倫理和法律問題也隨之出現，要求各組織機構實施嚴格的安全措施。不當管理或惡意使用這些人工智慧系統可能導致信譽受損、承擔法律責任，並降低公眾信任度。產生誤導性或有害內容的風險是人工智慧普及應用的一大挑戰，因此，對於部署多模態人工智慧解決方案的公司而言，安全性和負責任的使用至關重要。

新型冠狀病毒（COVID-19）的影響：

新冠疫情加速了數位化解決方案和遠距辦公的轉型，推動了多模態生成式人工智慧市場的發展。人們對線上教育、遠程辦公和虛擬協作的日益依賴，催生了對能夠整合和分析文字、圖像和音訊的人工智慧模型的需求。醫療和研究機構利用多模態人工智慧進行診斷、藥物研發和遠端醫療，以有效應對疫情帶來的挑戰。儘管面臨供應鏈中斷和運算資源受限的困境，這場危機仍然促進了人工智慧技術的創新和應用。新冠疫情凸顯了多模態人工智慧在流程自動化、內容生成以及支援全球各產業關鍵決策的價值。

在預測期內，文本產業預計將佔據最大的市場佔有率。

由於應用範圍廣泛，文本領域預計將在預測期內佔據最大的市場佔有率。專門針對文字的AI解決方案支援內容創作、自然語言處理、自動報告和虛擬助手，從而提高效率並提供個人化體驗。文字資料相對容易收集、處理和與其他模態資料整合，這有助於提升多模態AI的效能。對AI驅動的客戶參與、行銷和知識解決方案日益成長的需求進一步鞏固了文本領域的地位。因此，文本將繼續成為多模態生成式AI領域中最具主導地位和影響力的領域。

在預測期內，醫療保健和生命科學產業預計將呈現最高的複合年成長率。

在預測期內，醫療保健和生命科學領域預計將呈現最高的成長率，這主要得益於人工智慧在診斷、個人化醫療、遠端醫療和藥物研發等領域的日益普及。透過整合文字、醫學影像、感測器測量數據和語音數據，多模態人工智慧能夠提供精準的洞察，增強臨床決策，並提高效率。對數位醫療投資的增加、對遠端醫療服務需求的成長以及對更快、更經濟高效的檢測的追求，是推動該領域快速擴張的主要因素，也使醫療保健和生命科學成為全球多模態人工智慧生態系統中成長最快的領域。

市佔率最大的地區：

在整個預測期內，北美預計將保持最大的市場佔有率，這主要得益於該地區集中了眾多領先的人工智慧技術公司、大量的研發投入以及各行業的早期應用。該地區憑藉先進的IT基礎設施、廣泛的雲端運算以及強大的產學研合作，促進了創新。醫療保健、金融、媒體和電子商務等關鍵產業正在採用多模態人工智慧進行分析、自動化和內容創作。政府的支持和成熟的人工智慧生態系統進一步鞏固了其市場地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於快速的數位化進程和對人工智慧技術的投資。中國、印度和日本等國家在醫療保健、金融、零售和製造業等領域的需求領先。蓬勃發展的Start-Ups生態系統、政府的支持性政策以及不斷完善的雲端運算基礎設施，都為加速成長做出了貢獻。高人口密度、網路普及率的提高以及技術意識的增強，進一步推動了人工智慧的應用。這些趨勢共同作用，使亞太地區成為全球成長最快的地區，為各行各業的多模態生成式人工智慧解決方案創造了巨大的機會。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶要求，我們可以提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需要進行可行性測試）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章：全球多模態生成式人工智慧市場：以模態分類

  • 文字
  • 影像
  • 聲音的
  • 影片
  • 感測器數據

第6章：全球多模態生成式人工智慧市場：依部署方式分類

  • 雲
  • 邊緣
  • 混合

第7章：全球多模態生成式人工智慧市場：按應用分類

  • 醫療保健和生命科學
  • 銀行、金融服務、保險業 (BFSI)
  • 汽車和運輸業
  • 工業和製造業
  • 人機介面
  • 零售與電子商務
  • 媒體與娛樂
  • 教育和培訓

第8章：全球多模態生成式人工智慧市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第9章 戰略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第10章：產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第11章：公司簡介

  • Google
  • OpenAI
  • Twelve Labs
  • Aimesoft
  • Jina AI
  • Uniphore
  • Reka AI
  • Amazon Web Services
  • IBM
  • Microsoft
  • Runway
  • Aiberry
  • Aimsoft
  • Hoppr
  • Jiva.ai
  • Modality.AI
  • OpenStream.ai
  • Perceive AI
Product Code: SMRC34977

According to Stratistics MRC, the Global Multimodal Generative AI Market is accounted for $5.1 billion in 2026 and is expected to reach $14.0 billion by 2034 growing at a CAGR of 13.4% during the forecast period. Multimodal Generative AI represents cutting-edge AI systems that can interpret, process, and create content across various data formats, including text, visuals, sound, and video. By merging multiple modalities, these models deliver more context-rich and intelligent outputs, supporting tasks like converting images to text, generating videos, or producing visuals from audio cues. This integration improves human-computer interaction, boosts creativity, and streamlines automation in different sectors. By linking diverse inputs, multimodal AI enables immersive experiences, informed decision-making, and innovative applications that were challenging or impossible with single-modality AI models.

According to the Stanford HAI AI Index 2024, 149 foundation models were released globally in 2023, more than double the ~70 released in 2022.

Market Dynamics:

Driver:

Increasing demand for AI-powered content creation

The rising need for AI-assisted content generation is driving the adoption of multimodal generative AI across media, marketing, and entertainment sectors. Organizations are using these systems to create images, videos, text, and audio efficiently, reducing manual effort and operational costs. By automating creative workflows and ensuring high-quality outputs, businesses can deliver personalized content that boosts engagement and strengthens brand presence. This demand for scalable, innovative, and cost-effective content solutions is propelling the growth of multimodal AI solutions in digital marketing and creative industries, establishing them as essential tools for modern enterprises.

Restraint:

High computational costs

The substantial computational requirements of multimodal generative AI pose a significant barrier. Training and running models that handle text, images, and audio together demand powerful GPUs, large storage, and robust networks, resulting in high energy and operational costs. Small and mid-sized businesses often find these expenses prohibitive, limiting adoption. Continuous maintenance, updates, and scaling further increase financial strain. As a result, the high cost of infrastructure and resources required for effective multimodal AI deployment slows market growth, making it challenging for organizations to implement these advanced solutions despite their potential benefits.

Opportunity:

Expansion in media and entertainment

Media and entertainment industries can capitalize on multimodal generative AI to create diverse content across text, visuals, audio, and video. Streaming platforms, gaming studios, and production houses can use AI to automate content creation, saving time while boosting creativity. Personalized narratives, interactive experiences, and virtual characters can be produced efficiently, enhancing audience engagement. Additionally, AI simplifies dubbing, subtitling, and content localization at scale. As consumers increasingly demand innovative and interactive content, multimodal AI provides an opportunity to drive innovation, improve production efficiency, and unlock new revenue streams in the entertainment and creative sectors.

Threat:

Risk of misinformation and deepfakes

The potential misuse of multimodal generative AI for creating deepfakes, fake news, and manipulated media represents a major threat. Such content can spread quickly, causing reputational, financial, or social harm. Ethical and legal issues arise as regulators increase oversight, requiring organizations to implement strict safeguards. Mismanagement or malicious use of these AI systems can result in loss of credibility, legal consequences, and reduced public trust. This risk of generating misleading or harmful content poses a challenge to adoption and acceptance, making security and responsible use essential considerations for businesses deploying multimodal AI solutions.

Covid-19 Impact:

The COVID-19 pandemic boosted the multimodal generative AI market by accelerating the shift toward digital solutions and remote operations. Increased reliance on online education, telework, and virtual collaboration created demand for AI models capable of analyzing text, images, and audio together. Healthcare and research organizations used multimodal AI for diagnostics, drug discovery, and telehealth, addressing pandemic-related challenges efficiently. Despite disruptions in supply chains and limited computing resources, the crisis drove innovation and adoption of AI technologies. COVID-19 underscored the value of multimodal AI in automating processes, generating content, and supporting critical decision-making in various industries worldwide.

The text segment is expected to be the largest during the forecast period

The text segment is expected to account for the largest market share during the forecast period because of its extensive applications across sectors. AI solutions focused on text support content creation, natural language processing, automated reporting, and virtual assistants, delivering efficiency and tailored experiences. Text data is relatively easier to gather, process, and combine with other modalities, improving multimodal AI performance. The rising demand for AI-driven customer engagement, marketing, and knowledge solutions further strengthens its position. As a result, text continues to be the dominant and most impactful segment within the multimodal generative AI landscape.

The healthcare & life sciences segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare & life sciences segment is predicted to witness the highest growth rate, driven by rising adoption of AI for diagnostics, personalized treatment, telehealth, and drug development. By integrating text, medical imaging, sensor readings, and audio data, multimodal AI delivers precise insights, enhances clinical decisions, and improves efficiency. Increased investments in digital health, growing demand for remote medical services, and the push for faster, cost-effective research are major contributors to this segment's rapid expansion, positioning healthcare and life sciences as the fastest-growing area in the global multimodal AI ecosystem.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, fueled by a concentration of leading AI technology companies, significant research and development investments, and early adoption across sectors. The region benefits from advanced IT infrastructure, widespread cloud computing, and strong industry-academia collaboration, promoting innovation. Critical industries including healthcare, finance, media, and e-commerce are implementing multimodal AI for analytics, automation, and content creation. Government support and a mature AI ecosystem further reinforce its position.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by rapid digital adoption and investments in AI technologies. Countries like China, India, and Japan are fueling demand in healthcare, finance, retail, and manufacturing industries. A growing startup ecosystem, supportive government policies, and enhanced cloud computing infrastructure contribute to accelerating growth. High population density, rising internet usage, and increased technological awareness further encourage AI deployment. Together, these trends establish Asia-Pacific as the fastest-growing region globally, offering significant opportunities for multimodal generative AI solutions across multiple sectors.

Key players in the market

Some of the key players in Multimodal Generative AI Market include Google, OpenAI, Twelve Labs, Aimesoft, Jina AI, Uniphore, Reka AI, Amazon Web Services, IBM, Microsoft, Runway, Aiberry, Aimsoft, Hoppr, Jiva.ai, Modality.AI, OpenStream.ai and Perceive AI.

Key Developments:

In January 2026, Microsoft Corp has been awarded a $170,444,462 firm-fixed-price task order for the Cloud One Program by the U.S. Department of War. The contract will provide Microsoft Azure cloud service offerings to support the Air Force's Cloud One Program and its customers. Work on the project will be performed at Microsoft's designated facilities across the contiguous United States.

In December 2025, IBM and Confluent, Inc. announced they have entered into a definitive agreement under which IBM will acquire all of the issued and outstanding common shares of Confluent for $31 per share, representing an enterprise value of $11 billion. Confluent provides a leading open-source enterprise data streaming platform that connects processes and governs reusable and reliable data and events in real time, foundational for the deployment of AI.

In November 2025, Amazon Web Services (AWS) and OpenAI announced a multi-year, strategic partnership that provides AWS's world-class infrastructure to run and scale OpenAI's core artificial intelligence (AI) workloads starting immediately. Under this new $38 billion agreement, which will have continued growth over the next seven years, OpenAI is accessing AWS compute comprising hundreds of thousands of state-of-the-art NVIDIA GPUs, with the ability to expand to tens of millions of CPUs to rapidly scale agentic workloads.

Modalities Covered:

  • Text
  • Image
  • Audio
  • Video
  • Sensor Data

Deployments Covered:

  • Cloud
  • Edge
  • Hybrid

Applications Covered:

  • Healthcare & Life Sciences
  • BFSI (Banking, Financial Services, Insurance)
  • Automotive & Transportation
  • Industrial & Manufacturing
  • Human-Machine Interfaces
  • Retail & E-commerce
  • Media & Entertainment
  • Education & Training

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Multimodal Generative AI Market, By Modality

  • 5.1 Text
  • 5.2 Image
  • 5.3 Audio
  • 5.4 Video
  • 5.5 Sensor Data

6 Global Multimodal Generative AI Market, By Deployment

  • 6.1 Cloud
  • 6.2 Edge
  • 6.3 Hybrid

7 Global Multimodal Generative AI Market, By Application

  • 7.1 Healthcare & Life Sciences
  • 7.2 BFSI (Banking, Financial Services, Insurance)
  • 7.3 Automotive & Transportation
  • 7.4 Industrial & Manufacturing
  • 7.5 Human-Machine Interfaces
  • 7.6 Retail & E-commerce
  • 7.7 Media & Entertainment
  • 7.8 Education & Training

8 Global Multimodal Generative AI Market, By Geography

  • 8.1 North America
    • 8.1.1 United States
    • 8.1.2 Canada
    • 8.1.3 Mexico
  • 8.2 Europe
    • 8.2.1 United Kingdom
    • 8.2.2 Germany
    • 8.2.3 France
    • 8.2.4 Italy
    • 8.2.5 Spain
    • 8.2.6 Netherlands
    • 8.2.7 Belgium
    • 8.2.8 Sweden
    • 8.2.9 Switzerland
    • 8.2.10 Poland
    • 8.2.11 Rest of Europe
  • 8.3 Asia Pacific
    • 8.3.1 China
    • 8.3.2 Japan
    • 8.3.3 India
    • 8.3.4 South Korea
    • 8.3.5 Australia
    • 8.3.6 Indonesia
    • 8.3.7 Thailand
    • 8.3.8 Malaysia
    • 8.3.9 Singapore
    • 8.3.10 Vietnam
    • 8.3.11 Rest of Asia Pacific
  • 8.4 South America
    • 8.4.1 Brazil
    • 8.4.2 Argentina
    • 8.4.3 Colombia
    • 8.4.4 Chile
    • 8.4.5 Peru
    • 8.4.6 Rest of South America
  • 8.5 Rest of the World (RoW)
    • 8.5.1 Middle East
      • 8.5.1.1 Saudi Arabia
      • 8.5.1.2 United Arab Emirates
      • 8.5.1.3 Qatar
      • 8.5.1.4 Israel
      • 8.5.1.5 Rest of Middle East
    • 8.5.2 Africa
      • 8.5.2.1 South Africa
      • 8.5.2.2 Egypt
      • 8.5.2.3 Morocco
      • 8.5.2.4 Rest of Africa

9 Strategic Market Intelligence

  • 9.1 Industry Value Network and Supply Chain Assessment
  • 9.2 White-Space and Opportunity Mapping
  • 9.3 Product Evolution and Market Life Cycle Analysis
  • 9.4 Channel, Distributor, and Go-to-Market Assessment

10 Industry Developments and Strategic Initiatives

  • 10.1 Mergers and Acquisitions
  • 10.2 Partnerships, Alliances, and Joint Ventures
  • 10.3 New Product Launches and Certifications
  • 10.4 Capacity Expansion and Investments
  • 10.5 Other Strategic Initiatives

11 Company Profiles

  • 11.1 Google
  • 11.2 OpenAI
  • 11.3 Twelve Labs
  • 11.4 Aimesoft
  • 11.5 Jina AI
  • 11.6 Uniphore
  • 11.7 Reka AI
  • 11.8 Amazon Web Services
  • 11.9 IBM
  • 11.10 Microsoft
  • 11.11 Runway
  • 11.12 Aiberry
  • 11.13 Aimsoft
  • 11.14 Hoppr
  • 11.15 Jiva.ai
  • 11.16 Modality.AI
  • 11.17 OpenStream.ai
  • 11.18 Perceive AI

List of Tables

  • Table 1 Global Multimodal Generative AI Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Multimodal Generative AI Market Outlook, By Modality (2023-2034) ($MN)
  • Table 3 Global Multimodal Generative AI Market Outlook, By Text (2023-2034) ($MN)
  • Table 4 Global Multimodal Generative AI Market Outlook, By Image (2023-2034) ($MN)
  • Table 5 Global Multimodal Generative AI Market Outlook, By Audio (2023-2034) ($MN)
  • Table 6 Global Multimodal Generative AI Market Outlook, By Video (2023-2034) ($MN)
  • Table 7 Global Multimodal Generative AI Market Outlook, By Sensor Data (2023-2034) ($MN)
  • Table 8 Global Multimodal Generative AI Market Outlook, By Deployment (2023-2034) ($MN)
  • Table 9 Global Multimodal Generative AI Market Outlook, By Cloud (2023-2034) ($MN)
  • Table 10 Global Multimodal Generative AI Market Outlook, By Edge (2023-2034) ($MN)
  • Table 11 Global Multimodal Generative AI Market Outlook, By Hybrid (2023-2034) ($MN)
  • Table 12 Global Multimodal Generative AI Market Outlook, By Application (2023-2034) ($MN)
  • Table 13 Global Multimodal Generative AI Market Outlook, By Healthcare & Life Sciences (2023-2034) ($MN)
  • Table 14 Global Multimodal Generative AI Market Outlook, By BFSI (Banking, Financial Services, Insurance) (2023-2034) ($MN)
  • Table 15 Global Multimodal Generative AI Market Outlook, By Automotive & Transportation (2023-2034) ($MN)
  • Table 16 Global Multimodal Generative AI Market Outlook, By Industrial & Manufacturing (2023-2034) ($MN)
  • Table 17 Global Multimodal Generative AI Market Outlook, By Human-Machine Interfaces (2023-2034) ($MN)
  • Table 18 Global Multimodal Generative AI Market Outlook, By Retail & E-commerce (2023-2034) ($MN)
  • Table 19 Global Multimodal Generative AI Market Outlook, By Media & Entertainment (2023-2034) ($MN)
  • Table 20 Global Multimodal Generative AI Market Outlook, By Education & Training (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.