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1448759

全球多模式人工智慧市場研究報告 - 2024 年至 2032 年產業分析、規模、佔有率、成長、趨勢和預測

Global Multimodal Artificial Intelligence Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032

出版日期: 2024年02月01日 | 出版商:

Value Market Research | 英文 206 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄圖表

全球多模態人工智慧市場需求預計將從 2023 年的 21.9 億美元增至 2032 年的近 352 億美元，2024-2032 年研究期間CAGR為 36.15%。

多模態人工智慧（AI）是指能夠處理和理解來自多種模態（不同類型的資料來源或管道）的資訊的系統或模型。在人工智慧的背景下，模態通常包括各種形式的感官輸入，例如文字、圖像、音訊、視訊等。

市場動態

由於各種因素，多模式人工智慧（AI）市場正在經歷顯著成長。資料類型（包括文字、圖像、音訊和視訊）的日益多樣化，推動了對能夠處理多種模式資訊的人工智慧模型的需求。深度學習的進步，加上 GPU 和專用人工智慧加速器運算能力的提高，使得複雜的多模式人工智慧模型的開發成為可能。這些模型適用於各個行業，例如醫療保健，它們透過結合醫學影像和病患記錄來增強診斷。對改善使用者體驗的需求，特別是在人機互動和虛擬助理方面，推動了多模式人工智慧的整合。車輛和機器人等自主系統受益於透過多模式人工智慧處理來自感測器和攝影機的資訊。多模式人工智慧的多功能性、跨行業應用以及不斷增加的研發投資正在推動其採用。此外，企業利用多模式人工智慧提供個人化服務和建議，解決需要全面了解異質資料的現實挑戰。這些因素的融合使多模式人工智慧成為解決複雜任務和增強決策過程的關鍵技術。

研究報告涵蓋波特五力模型、市場吸引力分析和價值鏈分析。這些工具有助於清晰地了解行業結構並評估全球範圍內的競爭吸引力。此外，這些工具也對全球多模式人工智慧市場的各個細分市場進行了包容性評估。多模式人工智慧產業的成長和趨勢為本研究提供了整體方法。

市場區隔

多模式人工智慧市場報告的這一部分提供了國家和區域層面細分市場的詳細資料，從而幫助策略師確定相應產品或服務的目標人群以及即將到來的機會。

按組件

軟體
服務

依資料形態

影像資料
文字數據
語音和語音數據
視訊和音訊數據

按最終用途

媒體與娛樂
BFSI
資訊科技與電信
衛生保健
汽車與運輸
賭博
其他

按企業規模

大型企業
中小企業

區域分析

本節涵蓋區域前景，重點介紹北美、歐洲、亞太地區、拉丁美洲以及中東和非洲多模式人工智慧市場當前和未來的需求。此外，該報告重點關注所有主要地區各個應用領域的需求、估計和預測。

該研究報告還涵蓋了市場主要參與者的全面概況以及對全球競爭格局的深入了解。多模態人工智慧市場的主要參與者包括 Aimesoft、Amazon Web Services, Inc.、Google LLC、IBM Corporation、Jina AI GmbH, Meta.、Microsoft、OpenAI, LLC、Twelve Labs Inc.、Uniphore Technologies Inc.。對競爭格局的整體看法，包括各種策略發展，例如關鍵併購、未來能力、合作夥伴關係、財務概況、合作、新產品開發、新產品發布和其他發展。

如果您有任何客製化要求，請寫信給我們。我們的研究團隊可以根據您的需求提供客製化報告。

簡介 - 市場動態
市場促進因素
市場限制
機會
產業動態
波特五力分析
市場吸引力分析
- 按組件分類的市場吸引力分析
- 依數據形態進行市場吸引力分析
- 按最終用途分類的市場吸引力分析
- 按企業規模分類的市場吸引力分析
- 市場吸引力分析：按地區

第 4 章：價值鏈分析

價值鏈分析
原料分析
- 原料清單
- 原料廠商清單
- 主要原物料價格走勢
潛在買家名單
行銷管道
- 直效行銷
- 間接行銷
- 行銷通路發展趨勢

第 5 章：全球多模式人工智慧市場分析：按組成部分

按組件概述
歷史和預測數據
按成分分析
軟體
服務

第 6 章：全球多模態人工智慧市場分析：按資料模態

按數據模態概述
歷史和預測數據
按數據模態分析
影像資料
文字數據
語音和語音數據
視訊和音訊數據

第 7 章：全球多模式人工智慧市場分析：按最終用途分類

按最終用途分類的概述
歷史和預測數據
按最終用途分析
媒體與娛樂
BFSI
資訊科技與電信
衛生保健
汽車與運輸
賭博
其他

第 8 章：全球多模式人工智慧市場分析：按企業規模

按企業規模分類的概覽
歷史和預測數據
按企業規模分析
大型企業
中小企業

第 9 章：全球多模式人工智慧市場分析：按地理位置

區域展望
介紹
北美銷售分析
- 概覽、歷史與預測資料銷售分析
- 北美按細分市場銷售分析
- 北美按國家銷售分析
- 美國銷售分析
- 加拿大銷售分析
- 墨西哥銷售分析
歐洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 歐洲按細分市場銷售分析
- 歐洲按國家銷售分析
- 英國銷售分析
- 法國銷售分析
- 德國銷售分析
- 義大利銷售分析
- 俄羅斯銷售分析
- 歐洲其他地區銷售分析
亞太地區銷售分析
- 概覽、歷史與預測資料銷售分析
- 亞太地區按細分市場銷售分析
- 亞太地區國家/地區銷售分析
- 中國銷售分析
- 印度銷售分析
- 日本銷售分析
- 韓國銷售分析
- 澳洲銷售分析
- 東南亞銷售分析
- 亞太地區其他地區銷售分析
拉丁美洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 拉丁美洲按細分市場銷售分析
- 拉丁美洲按國家銷售分析
- 巴西銷售分析
- 阿根廷銷售分析
- 秘魯銷售分析
- 智利銷售分析
- 拉丁美洲其他地區銷售分析
中東和非洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 中東和非洲按細分市場銷售分析
- 中東和非洲國家銷售分析
- 沙烏地阿拉伯銷售分析
- 阿拉伯聯合大公國銷售分析
- 以色列銷售分析
- 南非銷售分析
- 中東其他地區和非洲銷售分析

第 10 章：多模態人工智慧公司的競爭格局

多模態人工智慧市場競爭
夥伴關係/協作/協議
併購
新產品發布
其他發展

第 11 章：公司簡介

公司股份分析
市場集中度
Aimesoft

公司簡介
公司收入
產品
最近的發展

Amazon Web Services Inc.

公司簡介
公司收入
產品
最近的發展

Google LLC

公司簡介
公司收入
產品
最近的發展

IBM Corporation

公司簡介
公司收入
產品
最近的發展

Jina AI GmbH

公司簡介
公司收入
產品
最近的發展

Meta.

公司簡介
公司收入
產品
最近的發展

Microsoft

公司簡介
公司收入
產品
最近的發展

OpenAI LLC

公司簡介
公司收入
產品
最近的發展

Twelve Labs Inc.

公司簡介
公司收入
產品
最近的發展

Uniphore Technologies Inc.

公司簡介
公司收入
產品
最近的發展

注意 - 在公司概況中，財務詳細資訊和近期發展視情況而定，或者如果是私人公司，則可能不包括在內

簡介目錄圖表

Product Code: VMR112113581

The global demand for Multimodal Artificial Intelligence Market is presumed to reach the market size of nearly USD 35.20 BN by 2032 from USD 2.19 BN in 2023 with a CAGR of 36.15% under the study period 2024 - 2032.

Multimodal artificial intelligence (AI) refers to systems or models that can process and understand information from multiple modalities, which are different types of data sources or channels. In the context of AI, modalities typically include various forms of sensory input, such as text, images, audio, video, and more.

MARKET DYNAMICS

The Multimodal artificial intelligence (AI) market is experiencing significant growth due to various factors. The increasing diversity of data types, including text, images, audio, and video, has driven the need for AI models capable of processing information from multiple modalities. Advances in deep learning, coupled with improved computational power from GPUs and specialized AI accelerators, have enabled the development of sophisticated multimodal AI models. These models find applications across industries, such as healthcare, where they enhance diagnostics by combining medical imaging and patient records. The demand for improved user experiences, especially in human-computer interaction and virtual assistants, has fueled the integration of multimodal AI. Autonomous systems, like vehicles and robots, benefit from processing information from sensors and cameras through multimodal AI. The versatility of multimodal AI, its cross-industry applications, and increasing research and development investments are driving its adoption. Additionally, businesses leverage multimodal AI for personalized services and recommendations, addressing real-world challenges that require a comprehensive understanding of heterogeneous data. The convergence of these factors positions multimodal AI as a key technology for addressing complex tasks and enhancing decision-making processes.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of multimodal artificial intelligence. The growth and trends of multimodal artificial intelligence industry provide a holistic approach to this study.

MARKET SEGMENTATION

This section of the multimodal artificial intelligence market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Component

Software
Service

By Data Modality

Image Data
Text Data
Speech & Voice Data
Video & Audio Data

By End-Use

Media & Entertainment
BFSI
IT & Telecommunication
Healthcare
Automotive & Transportation
Gaming
Others

By Enterprise Size

Large Enterprise
SMEs

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the Multimodal Artificial Intelligence market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Multimodal Artificial Intelligence market include Aimesoft, Amazon Web Services, Inc., Google LLC, IBM Corporation, Jina AI GmbH, Meta., Microsoft, OpenAI, L.L.C., Twelve Labs Inc., Uniphore Technologies Inc. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

1 . PREFACE

1.1. Report Description
- 1.1.1. Objective
- 1.1.2. Target Audience
- 1.1.3. Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1. Market Research Process
- 1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3 . MULTIMODAL ARTIFICIAL INTELLIGENCE - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Component
- 3.7.2 Market Attractiveness Analysis By Data Modality
- 3.7.3 Market Attractiveness Analysis By End-use
- 3.7.4 Market Attractiveness Analysis By Enterprise Size
- 3.7.5 Market Attractiveness Analysis By Region

4 . VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1. List of Raw Materials
- 4.2.2. Raw Material Manufactures List
- 4.2.3. Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1. Direct Marketing
- 4.4.2. Indirect Marketing
- 4.4.3. Marketing Channel Development Trend

5 . GLOBAL MULTIMODAL ARTIFICIAL INTELLIGENCE MARKET ANALYSIS BY COMPONENT

5.1 Overview by Component
5.2 Historical and Forecast Data
5.3 Analysis by Component
5.4 Software Historic and Forecast Sales by Regions
5.5 Service Historic and Forecast Sales by Regions

6 . GLOBAL MULTIMODAL ARTIFICIAL INTELLIGENCE MARKET ANALYSIS BY DATA MODALITY

6.1 Overview by Data Modality
6.2 Historical and Forecast Data
6.3 Analysis by Data Modality
6.4 Image Data Historic and Forecast Sales by Regions
6.5 Text Data Historic and Forecast Sales by Regions
6.6 Speech & Voice Data Historic and Forecast Sales by Regions
6.7 Video & Audio Data Historic and Forecast Sales by Regions

7 . GLOBAL MULTIMODAL ARTIFICIAL INTELLIGENCE MARKET ANALYSIS BY END-USE

7.1 Overview by End-use
7.2 Historical and Forecast Data
7.3 Analysis by End-use
7.4 Media & Entertainment Historic and Forecast Sales by Regions
7.5 BFSI Historic and Forecast Sales by Regions
7.6 IT & Telecommunication Historic and Forecast Sales by Regions
7.7 Healthcare Historic and Forecast Sales by Regions
7.8 Automotive & Transportation Historic and Forecast Sales by Regions
7.9 Gaming Historic and Forecast Sales by Regions
7.10. Others Historic and Forecast Sales by Regions

8 . GLOBAL MULTIMODAL ARTIFICIAL INTELLIGENCE MARKET ANALYSIS BY ENTERPRISE SIZE

8.1 Overview by Enterprise Size
8.2 Historical and Forecast Data
8.3 Analysis by Enterprise Size
8.4 Large Enterprise Historic and Forecast Sales by Regions
8.5 SMEs Historic and Forecast Sales by Regions

9 . GLOBAL MULTIMODAL ARTIFICIAL INTELLIGENCE MARKET ANALYSIS BY GEOGRAPHY

9.1. Regional Outlook
9.2. Introduction
9.3. North America Sales Analysis
- 9.3.1. Overview, Historic and Forecast Data Sales Analysis
- 9.3.2. North America By Segment Sales Analysis
- 9.3.3. North America By Country Sales Analysis
- 9.3.4. United State Sales Analysis
- 9.3.5. Canada Sales Analysis
- 9.3.6. Mexico Sales Analysis
9.4. Europe Sales Analysis
- 9.4.1. Overview, Historic and Forecast Data Sales Analysis
- 9.4.2. Europe by Segment Sales Analysis
- 9.4.3. Europe by Country Sales Analysis
- 9.4.4. United Kingdom Sales Analysis
- 9.4.5. France Sales Analysis
- 9.4.6. Germany Sales Analysis
- 9.4.7. Italy Sales Analysis
- 9.4.8. Russia Sales Analysis
- 9.4.9. Rest Of Europe Sales Analysis
9.5. Asia Pacific Sales Analysis
- 9.5.1. Overview, Historic and Forecast Data Sales Analysis
- 9.5.2. Asia Pacific by Segment Sales Analysis
- 9.5.3. Asia Pacific by Country Sales Analysis
- 9.5.4. China Sales Analysis
- 9.5.5. India Sales Analysis
- 9.5.6. Japan Sales Analysis
- 9.5.7. South Korea Sales Analysis
- 9.5.8. Australia Sales Analysis
- 9.5.9. South East Asia Sales Analysis
- 9.5.10. Rest Of Asia Pacific Sales Analysis
9.6. Latin America Sales Analysis
- 9.6.1. Overview, Historic and Forecast Data Sales Analysis
- 9.6.2. Latin America by Segment Sales Analysis
- 9.6.3. Latin America by Country Sales Analysis
- 9.6.4. Brazil Sales Analysis
- 9.6.5. Argentina Sales Analysis
- 9.6.6. Peru Sales Analysis
- 9.6.7. Chile Sales Analysis
- 9.6.8. Rest of Latin America Sales Analysis
9.7. Middle East & Africa Sales Analysis
- 9.7.1. Overview, Historic and Forecast Data Sales Analysis
- 9.7.2. Middle East & Africa by Segment Sales Analysis
- 9.7.3. Middle East & Africa by Country Sales Analysis
- 9.7.4. Saudi Arabia Sales Analysis
- 9.7.5. UAE Sales Analysis
- 9.7.6. Israel Sales Analysis
- 9.7.7. South Africa Sales Analysis
- 9.7.8. Rest Of Middle East And Africa Sales Analysis

10 . COMPETITIVE LANDSCAPE OF THE MULTIMODAL ARTIFICIAL INTELLIGENCE COMPANIES

10.1. Multimodal Artificial Intelligence Market Competition
10.2. Partnership/Collaboration/Agreement
10.3. Merger And Acquisitions
10.4. New Product Launch
10.5. Other Developments

11 . COMPANY PROFILES OF MULTIMODAL ARTIFICIAL INTELLIGENCE INDUSTRY

11.1. Company Share Analysis
11.2. Market Concentration Rate
11.3. Aimesoft
- 11.3.1. Company Overview
- 11.3.2. Company Revenue
- 11.3.3. Products
- 11.3.4. Recent Developments
11.4. Amazon Web Services Inc.
- 11.4.1. Company Overview
- 11.4.2. Company Revenue
- 11.4.3. Products
- 11.4.4. Recent Developments
11.5. Google LLC
- 11.5.1. Company Overview
- 11.5.2. Company Revenue
- 11.5.3. Products
- 11.5.4. Recent Developments
11.6. IBM Corporation
- 11.6.1. Company Overview
- 11.6.2. Company Revenue
- 11.6.3. Products
- 11.6.4. Recent Developments
11.7. Jina AI GmbH
- 11.7.1. Company Overview
- 11.7.2. Company Revenue
- 11.7.3. Products
- 11.7.4. Recent Developments
11.8. Meta.
- 11.8.1. Company Overview
- 11.8.2. Company Revenue
- 11.8.3. Products
- 11.8.4. Recent Developments
11.9. Microsoft
- 11.9.1. Company Overview
- 11.9.2. Company Revenue
- 11.9.3. Products
- 11.9.4. Recent Developments
11.10. OpenAI L.L.C.
- 11.10.1. Company Overview
- 11.10.2. Company Revenue
- 11.10.3. Products
- 11.10.4. Recent Developments
11.11. Twelve Labs Inc.
- 11.11.1. Company Overview
- 11.11.2. Company Revenue
- 11.11.3. Products
- 11.11.4. Recent Developments
11.12. Uniphore Technologies Inc.
- 11.12.1. Company Overview
- 11.12.2. Company Revenue
- 11.12.3. Products
- 11.12.4. Recent Developments