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市場調查報告書

商品編碼

1544541

多模式人工智慧市場、機會、成長動力、產業趨勢分析與預測，2024-2032

Multimodal AI Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: 2024年07月01日 | 出版商:

Global Market Insights Inc. | 英文 410 Pages | 商品交期: 2-3個工作天內

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簡介目錄

在視訊資料分析的重大進步和對創新人工智慧服務不斷成長的需求的推動下，2024年至2032年，全球多模式人工智慧市場規模的複合年成長率將超過30%。領先科技公司不斷推出的創新產品支持了市場成長。例如，2024 年 3 月，Apple 推出了 MM1，這是一套旨在處理圖像和文字的多模式模型。這些模型具有多達 300 億個參數，與 Google Gemini 的早期版本相當。 MM1 可以遵循影像指令並進行推理，作為其多模式功能的一部分。

多模態人工智慧整合了文字、音訊和視訊等各種資料類型，透過提供更全面、更準確的洞察，正在為產業帶來革命性的變化。這一成長是由持續的研究和開發以及醫療保健、金融和零售等領域的應用不斷增加所推動的。

整個多模態人工智慧產業根據組件、技術、資料模態、類型、產業垂直和區域進行分類。

就資料形態而言，視訊資料領域將成為 2024 年至 2032 年的主要成長資料。電腦視覺和深度學習技術的進步正在增強人工智慧系統更有效地分析和解釋視訊內容的能力。這種功能在監控、自動駕駛汽車和基於視訊的分析等應用中特別有價值，刺激了對結合視訊資料的多模式人工智慧解決方案的需求。

就零件而言，服務部門預計在預測期內大幅成長。隨著多模式人工智慧技術的發展，對諮詢、整合和支援等相關服務的需求不斷增加。組織正在尋求實施和最佳化人工智慧系統的專業知識，以充分利用多模式資料的潛力。這包括客製化解決方案以滿足特定業務需求並確保與現有基礎設施的無縫整合。人工智慧系統日益複雜以及對專業技能的需求正在推動多模式人工智慧市場中服務組件的擴展。

2024年至2032年，歐洲多模式人工智慧市場將呈現顯著的複合年成長率。該地區對創新和技術進步的關注正在促進各行業多模式人工智慧應用的成長。此外，人工智慧在醫療保健、汽車和金融等領域的日益普及正在推動對多模式解決方案的需求。歐洲致力於推動人工智慧技術和滿足監管要求，使該地區成為全球多模式人工智慧市場的關鍵參與者。

產業生態系統分析
供應商矩陣
利潤率分析
技術與創新格局
專利分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 增強的人機交互
  - 產業特定應用
  - 5G和邊緣運算
  - 企業投資和合作夥伴關係
  - 自然語言處理 (NLP) 的進步
- 產業陷阱與挑戰
  - 資料隱私和安全問題
  - 偏見和公平問題
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按組成部分，2021 - 2032 年

解決方案
服務

第 6 章：市場估計與預測：按資料模式，2021 - 2032

影像資料
文字資料
語音和語音資料
視訊資料
音訊資料

第 7 章：市場估計與預測：按技術分類，2021 - 2032

機器學習
自然語言處理
電腦視覺
情境意識
物聯網

第 8 章：市場估計與預測：按類型，2021 - 2032

生成式多模式人工智慧
翻譯性多模式人工智慧
解釋性多模式人工智慧
互動式多模式人工智慧

第 9 章：市場估計與預測：按產業垂直分類，2021 - 2032 年

BFSI
零售與電子商務
資訊科技和電信
政府和公共部門
衛生保健
製造業
媒體和娛樂
其他

第 10 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 歐洲其他地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地區
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯
- MEA 的其餘部分

第 11 章：公司簡介

Aiberry Inc.
Aimesoft Inc.
Amazon Web Services, Inc.
Archetype AI Inc.
Beewant SAS
Google Inc.
Habana Labs Inc.
Hoppr Inc.
Inworld AI Inc.
International Business Machines Corporation (IBM)
Jina AI GmbH
Jiva.ai Ltd.
Microsoft Corporation
Mobius Labs Inc.
Modality.AI Inc.
Multimodal Inc.
Neuraptic AI S.L.
Newsbridge SAS
OpenAI Inc.
OpenStream AI Inc.
Owlbot.AI Inc.
Perceiv AI Inc.
Reka AI Inc.
Runway AI Inc.
Stability AI Ltd.

簡介目錄

Product Code: 10071

Global Multimodal AI Market size will experience over 30% CAGR from 2024 to 2032, fueled by significant advancements in video data analysis and the growing demand for innovative AI services. The rising innovative launches by leading tech companies support market growth. For instance, in March 2024, Apple introduced MM1, a suite of multimodal models designed to process both images and text. The models featured up to 30 billion parameters and were on par with the early versions of Google Gemini. MM1 could follow instructions and reasoning with images as part of its multimodal functions.

Multimodal AI integrating various data types, such as text, audio, and video, is revolutionizing industries by providing more comprehensive and accurate insights. This growth is driven by ongoing research and development, alongside increasing applications in sectors such as healthcare, finance, and retail.

The overall Multimodal AI Industry is classified based on the component, technology, data modality, type, industry vertical, and region.

In terms of data modality, the video data segment will be a major growth driver from 2024 to 2032. Video data is becoming increasingly crucial as businesses and organizations seek to leverage visual information for insights and decision-making. Advances in computer vision and deep learning technologies are enhancing the ability of AI systems to analyze and interpret video content more effectively. This capability is particularly valuable in applications such as surveillance, autonomous vehicles, and video-based analytics, fueling demand for multimodal AI solutions incorporating video data.

Regarding components, the services segment is poised for substantial growth over the forecast period. As multimodal AI technologies evolve, the demand for related services such as consulting, integration, and support is rising. Organizations are seeking expertise in implementing and optimizing AI systems to harness the full potential of multimodal data. This includes customizing solutions to meet specific business needs and ensuring seamless integration with existing infrastructure. The growing complexity of AI systems and the need for specialized skills are driving the expansion of the services component in the multimodal AI market.

Europe multimodal AI market will exhibit a significant CAGR from 2024 to 2032. European countries are increasingly investing in AI research and development, supported by favorable regulatory frameworks and government initiatives. The region's focus on innovation and technological advancement is fostering the growth of multimodal AI applications across various industries. Additionally, the growing adoption of AI in sectors such as healthcare, automotive, and finance is driving demand for multimodal solutions. Europe's commitment to advancing AI technology and addressing regulatory requirements is positioning the region as a key player in the global multimodal AI market.

Chapter 1 Methodology and Scope

1.1 Market scope and definition
1.2 Base estimates and calculations
1.3 Forecast calculation
1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
  - 1.4.2.1 Paid sources
  - 1.4.2.2 Public sources

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Vendor matrix
3.3 Profit margin analysis
3.4 Technology and innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Enhanced human-machine interaction
  - 3.8.1.2 Industry-specific applications
  - 3.8.1.3 5G and edge computing
  - 3.8.1.4 Corporate investments and partnerships
  - 3.8.1.5 Advancements in natural language processing (NLP)
- 3.8.2 Industry pitfalls and challenges
  - 3.8.2.1 Data privacy and security concerns
  - 3.8.2.2 Bias and fairness issues
3.9 Growth potential analysis
3.10 Porter's analysis
- 3.10.1 Supplier power
- 3.10.2 Buyer power
- 3.10.3 Threat of new entrants
- 3.10.4 Threat of substitutes
- 3.10.5 Industry rivalry
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Component, 2021 - 2032 (USD Million)

5.1 Solution
5.2 Service

Chapter 6 Market estimates and forecast, By Data Modality, 2021 - 2032 (USD Million)

6.1 Image data
6.2 Text data
6.3 Speech and voice data
6.4 Video data
6.5 Audio data

Chapter 7 Market estimates and forecast, By Technology, 2021 - 2032 (USD Million)

7.1 Machine learning
7.2 Natural language processing
7.3 Computer vision
7.4 Context awareness
7.5 Internet of things

Chapter 8 Market estimates and forecast, By Type, 2021 - 2032 (USD Million)

8.1 Generative multimodal AI
8.2 Translative multimodal AI
8.3 Explanatory multimodal AI
8.4 Interactive multimodal AI

Chapter 9 Market estimates and forecast, By Industry Vertical, 2021 - 2032 (USD Million)

9.1 BFSI
9.2 Retail and E-Commerce
9.3 IT and telecommunication
9.4 Government and public sector
9.5 Healthcare
9.6 Manufacturing
9.7 Media and Entertainment
9.8 Others

Chapter 10 Market Estimates and Forecast, By Region, 2021 - 2032 (USD Million)

10.1 Key trends
10.2 North America
- 10.2.1 U.S.
- 10.2.2 Canada
10.3 Europe
- 10.3.1 UK
- 10.3.2 Germany
- 10.3.3 France
- 10.3.4 Italy
- 10.3.5 Spain
- 10.3.6 Rest of Europe
10.4 Asia Pacific
- 10.4.1 China
- 10.4.2 India
- 10.4.3 Japan
- 10.4.4 South Korea
- 10.4.5 ANZ
- 10.4.6 Rest of Asia Pacific
10.5 Latin America
- 10.5.1 Brazil
- 10.5.2 Mexico
- 10.5.3 Rest of Latin America
10.6 MEA
- 10.6.1 UAE
- 10.6.2 South Africa
- 10.6.3 Saudi Arabia
- 10.6.4 Rest of MEA