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市場調查報告書
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1538322

多模態人工智慧市場報告:2030 年趨勢、預測與競爭分析

Multimodal AI Market Report: Trends, Forecast and Competitive Analysis to 2030

出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3個工作天內

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簡介目錄

多模態人工智慧趨勢和預測

預計到 2030 年,全球多模態人工智慧市場將達到 33 億美元,2024 年至 2030 年複合年成長率為 21.3%。該市場的主要驅動力是分析非結構化資料的需求不斷成長、人工智慧技術的持續發展以及針對每個行業的客製化解決方案的需求不斷成長。全球多模態人工智慧市場的未來看起來充滿希望,媒體和娛樂、BFSI、IT 和通訊、醫療、汽車和交通以及遊戲市場都充滿機會。

多模態人工智慧(按細分市場)

該研究包括按組件、資料模式、公司規模、最終用途和地區對全球多模態人工智慧的預測。

多模態人工智慧市場洞察

Lucintel 預測,在預測期內,軟體將繼續佔據更大的佔有率,因為它涉及專門為同時處理和處理多種資料格式而建構的互連系統。

在這個市場中,由於越來越注重改善用戶體驗、內容個人化和創造性創新,媒體和娛樂將繼續成為一個重要的細分市場。

由於機器和使用者之間對更複雜、類人互動的需求不斷成長,北美在預測期內可能仍然是最大的地區。

常問問題

Q1.市場規模為:

A1. 到 2030 年,全球多模態人工智慧市場預計將達到 33 億美元。

Q2.市場成長預測是多少:

A2. 2024年至2030年,全球多模態人工智慧市場預計將以21.3%的複合年成長率成長。

Q3.影響市場成長的主要促進因素是:

A3. 該市場的主要驅動力是分析非結構化資料的需求不斷成長、人工智慧技術的持續市場開拓以及針對每個行業的客製化解決方案的需求不斷成長。

Q4.市場的主要細分市場是:

A4. 全球多模態人工智慧市場未來性廣闊,媒體和娛樂、BFSI、IT 和通訊、醫療、汽車和交通以及遊戲市場充滿機會。

Q5.市場的主要企業是:

A5. 主要的多模態人工智慧公司是:

  • Aimesoft
  • Amazon Web Services
  • Google
  • IBM
  • Jina AI
  • Meta
  • Microsoft
  • OpenAI
  • Twelve Labs
  • Uniphore Technologies

Q6.未來最大的細分市場是什麼?

A6.Lucintel 預測,在預測期內,軟體將繼續佔據更大的佔有率,因為它涉及專門為同時處理和處理多種格式的資料而建構的互連系統。

Q7. 未來五年預計哪些地區的市場成長最大?

A7. 由於機器和使用者之間對更複雜、類人互動的需求不斷增加,北美將在預測期內繼續成為最大的地區。

Q8. 可以客製化報告嗎?

A8. 是的,Lucintel 提供 10% 的客製化服務,無需額外付費。

目錄

第1章執行摘要

第2章全球多模態人工智慧市場:市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢(2018-2023)與預測(2024-2030)
  • 全球多模態人工智慧市場趨勢(2018-2023)與預測(2024-2030)
  • 按組件分類的全球多模態人工智慧市場
    • 軟體
    • 服務
  • 按資料模態分類的全球多模態人工智慧市場
    • 影像資料
    • 文字資料
    • 音訊資料
    • 視訊和音訊資料
  • 按公司規模分類的全球多模態人工智慧市場
    • 主要企業
    • 小型企業
  • 按最終用途分類的全球多模態人工智慧市場
    • 媒體娛樂
    • BFSI
    • 資訊科技/通訊
    • 醫療保健
    • 汽車/運輸機械
    • 遊戲
    • 其他

第4章 2018-2030年區域市場趨勢及預測分析

  • 按地區分類的全球多模態人工智慧市場
  • 北美多模態人工智慧市場
  • 歐洲多模態人工智慧市場
  • 亞太多模態人工智慧市場
  • 其他區域多模態人工智慧市場

第5章 競爭分析

  • 產品系列分析
  • 業務整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 全球多模態人工智慧市場的成長機會(按組成部分)
    • 按資料模式分類的全球多模態人工智慧市場成長機會
    • 按公司規模分類的全球多模態人工智慧市場成長機會
    • 全球多模態人工智慧市場成長機會(按最終用途)
    • 按地區分類的全球多模態人工智慧市場成長機會
  • 全球多模態人工智慧市場新趨勢
  • 戰略分析
    • 新產品開發
    • 擴大全球多模態人工智慧市場容量
    • 全球多模態人工智慧市場的合併、收購和合資企業
    • 認證和許可

第7章主要企業概況

  • Aimesoft
  • Amazon Web Services
  • Google
  • IBM
  • Jina AI
  • Meta
  • Microsoft
  • OpenAI
  • Twelve Labs
  • Uniphore Technologies
簡介目錄

Multimodal AI Trends and Forecast

The future of the global multimodal AI market looks promising with opportunities in the media & entertainment, BFSI, IT & telecommunication, healthcare, automotive & transportation, and gaming markets. The global multimodal AI market is expected to reach an estimated $3.3 billion by 2030 with a CAGR of 21.3% from 2024 to 2030. The major drivers for this market are growing need to analyze unstructured data, ongoing development of AI technology, as well as, rising need for solutions that are tailored to individual industries.

A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.

Multimodal AI by Segment

The study includes a forecast for the global multimodal AI by component, data modality, enterprise size, end use, and region.

Multimodal AI Market by Component [Shipment Analysis by Value from 2018 to 2030]:

  • Software
  • Service

Multimodal AI Market by Data Modality [Shipment Analysis by Value from 2018 to 2030]:

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

Multimodal AI Market by Enterprise Size [Shipment Analysis by Value from 2018 to 2030]:

  • Large Enterprise
  • SMEs

Multimodal AI Market by End Use [Shipment Analysis by Value from 2018 to 2030]:

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

Multimodal AI Market by Region [Shipment Analysis by Value from 2018 to 2030]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of Multimodal AI Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies multimodal AI companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the multimodal AI companies profiled in this report include-

  • Aimesoft
  • Amazon Web Services
  • Google
  • IBM
  • Jina AI
  • Meta
  • Microsoft
  • OpenAI
  • Twelve Labs
  • Uniphore Technologies

Multimodal AI Market Insights

Lucintel forecasts that software will remain larger segment over the forecast period because it includes interconnected systems specially built to concurrently handle and process numerous forms of data.

Within this market, media & entertainment will remain larger segment due to rising focus on enhancing user experiences, content personalization, and creative innovation.

North America will remain the largest region over the forecast period due to increasing demand for more sophisticated and human-like interactions between machines and users.

Features of the Global Multimodal AI Market

Market Size Estimates: Multimodal AI market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Multimodal AI market size by component, data modality, enterprise size, end use, and region in terms of value ($B).

Regional Analysis: Multimodal AI market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different component, data modality, enterprise size, end use, and regions for the multimodal AI market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the multimodal AI market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q1. What is the multimodal AI market size?

Answer: The global multimodal AI market is expected to reach an estimated $3.3 billion by 2030.

Q2. What is the growth forecast for multimodal AI market?

Answer: The global multimodal AI market is expected to grow with a CAGR of 21.3% from 2024 to 2030.

Q3. What are the major drivers influencing the growth of the multimodal AI market?

Answer: The major drivers for this market are growing need to analyze unstructured data, ongoing development of AI technology, as well as, rising need for solutions that are tailored to individual industries.

Q4. What are the major segments for multimodal AI market?

Answer: The future of the global multimodal AI market looks promising with opportunities in the media & entertainment, BFSI, IT & telecommunication, healthcare, automotive & transportation, and gaming markets.

Q5. Who are the key multimodal AI market companies?

Answer: Some of the key multimodal AI companies are as follows:

  • Aimesoft
  • Amazon Web Services
  • Google
  • IBM
  • Jina AI
  • Meta
  • Microsoft
  • OpenAI
  • Twelve Labs
  • Uniphore Technologies

Q6. Which multimodal AI market segment will be the largest in future?

Answer: Lucintel forecasts that software will remain larger segment over the forecast period because it includes interconnected systems specially built to concurrently handle and process numerous forms of data.

Q7. In multimodal AI market, which region is expected to be the largest in next 5 years?

Answer: North America will remain the largest region over the forecast period due to increasing demand for more sophisticated and human-like interactions between machines and users.

Q.8 Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the multimodal AI market by component (software and service), data modality (image data, text data, speech & voice data, and video & audio data), enterprise size (large enterprise and SMEs), end use (media & entertainment, BFSI, IT & telecommunication, healthcare, automotive & transportation, gaming, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Multimodal AI Market : Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Global Multimodal AI Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Global Multimodal AI Market by Component
    • 3.3.1: Software
    • 3.3.2: Service
  • 3.4: Global Multimodal AI Market by Data Modality
    • 3.4.1: Image Data
    • 3.4.2: Text Data
    • 3.4.3: Speech & Voice Data
    • 3.4.4: Video & Audio Data
  • 3.5: Global Multimodal AI Market by Enterprise Size
    • 3.5.1: Large Enterprise
    • 3.5.2: SMEs
  • 3.6: Global Multimodal AI Market by End Use
    • 3.6.1: Media & Entertainment
    • 3.6.2: BFSI
    • 3.6.3: IT & Telecommunication
    • 3.6.4: Healthcare
    • 3.6.5: Automotive & Transportation
    • 3.6.6: Gaming
    • 3.6.7: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Global Multimodal AI Market by Region
  • 4.2: North American Multimodal AI Market
    • 4.2.1: North American Multimodal AI Market by Component: Software and Service
    • 4.2.2: North American Multimodal AI Market by End Use: Media & Entertainment, BFSI, IT & Telecommunication, Healthcare, Automotive & Transportation, Gaming, and Others
  • 4.3: European Multimodal AI Market
    • 4.3.1: European Multimodal AI Market by Component: Software and Service
    • 4.3.2: European Multimodal AI Market by End Use: Media & Entertainment, BFSI, IT & Telecommunication, Healthcare, Automotive & Transportation, Gaming, and Others
  • 4.4: APAC Multimodal AI Market
    • 4.4.1: APAC Multimodal AI Market by Component: Software and Service
    • 4.4.2: APAC Multimodal AI Market by End Use: Media & Entertainment, BFSI, IT & Telecommunication, Healthcare, Automotive & Transportation, Gaming, and Others
  • 4.5: ROW Multimodal AI Market
    • 4.5.1: ROW Multimodal AI Market by Component: Software and Service
    • 4.5.2: ROW Multimodal AI Market by End Use: Media & Entertainment, BFSI, IT & Telecommunication, Healthcare, Automotive & Transportation, Gaming, and Others

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for the Global Multimodal AI Market by Component
    • 6.1.2: Growth Opportunities for the Global Multimodal AI Market by Data Modality
    • 6.1.3: Growth Opportunities for the Global Multimodal AI Market by Enterprise Size
    • 6.1.4: Growth Opportunities for the Global Multimodal AI Market by End Use
    • 6.1.5: Growth Opportunities for the Global Multimodal AI Market by Region
  • 6.2: Emerging Trends in the Global Multimodal AI Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global Multimodal AI Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Multimodal AI Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: Aimesoft
  • 7.2: Amazon Web Services
  • 7.3: Google
  • 7.4: IBM
  • 7.5: Jina AI
  • 7.6: Meta
  • 7.7: Microsoft
  • 7.8: OpenAI
  • 7.9: Twelve Labs
  • 7.10: Uniphore Technologies