查看購物車
  • Simplified Chinese
  • English
  • Japanese
2031 年亞太地區多模式人工智慧市場預測 - 區域分析 - 按組件、組織規模、資料類型和最終用途
市場調查報告書
商品編碼
1666270

2031 年亞太地區多模式人工智慧市場預測 - 區域分析 - 按組件、組織規模、資料類型和最終用途

Asia Pacific Multimodal AI Market Forecast to 2031 - Regional Analysis - by Component, Organization Size, Data Type, and End use
出版日期: | 出版商: The Insight Partners | 英文 103 Pages | 訂單完成後即時交付

價格

2023年亞太多模式AI市場價值為1.8164億美元，預計到2031年將達到23.5586億美元；預計 2023 年至 2031 年的複合年成長率為 37.8%。

提高自動駕駛汽車性能的能力推動亞太地區多模式人工智慧市場發展

人工智慧能夠改變交通運輸的各個要素，從智慧車輛設計到個人化的車內互動，因此正成為汽車產業急劇轉變的主要催化劑。因此，它確保了駕駛員和乘客的出行更加安全、高效和環保。人工智慧多模式助理的加入代表著行動解決方案的重大飛躍。這些助理能夠處理各種輸入，例如語音指令、圖片和影片，旨在促進交通方式之間的無縫轉換。此外，由於這種能力，它們可以作為連接人們與車輛和周圍環境的多樣化介面。 2024 年 4 月，專門從事輔助和自動駕駛人工智慧技術的公司 Wayve 推出了 Lingo-2。這個閉迴路駕駛模型結合了視覺、語言和動作，可以更好地解釋和預測駕駛員的行為。自動駕駛汽車中使用多模式人工智慧可以提高其感知和決策能力。透過處理從感測器、攝影機和環境輸入獲得的資料，人工智慧車輛可以更準確、更安全地應對困難情況。市場正在投入大量資金來開發更好的自動駕駛人工智慧模型。 2024 年，自動駕駛汽車軟體開發商 Applied Intuition 完成最新一輪 2.5 億美元融資，旨在為汽車、建築、國防和農業行業的車輛提供人工智慧技術。因此，自動駕駛汽車性能改進應用很可能在未來幾年成為亞太多模式人工智慧市場的重要趨勢。

亞太地區多模式人工智慧市場概覽

亞太地區的市場分為中國、日本、韓國、印度、澳洲和亞太地區其他地區。近年來，亞太地區多模式人工智慧相關投資呈現激增態勢。亞太地區的企業計劃在未來幾年增加對人工智慧（AI）技術的支出，以提高效率並加速決策。 2024 年 3 月，日本經濟產業省宣布，NVIDIA 將在創建該國生成性 AI 基礎設施方面發揮關鍵作用，日本正試圖利用該技術的經濟潛力並進一步培訓其勞動力。 NVIDIA 正在與 GMO Internet Group、Highreso、KDDI Corporation、RUTILEA、SAKURA Internet Inc. 和軟銀公司等數位基礎設施巨頭合作，這些公司已獲得該部的認證，將領導對 AI 應用至關重要的雲端基礎設施的開發。因此，該地區的此類舉措正在推動市場發展。

亞太地區多模式 AI 市場收入及 2031 年預測（百萬美元）

亞太地區多模式人工智慧市場細分

亞太多模式人工智慧市場分為組成部分、組織規模、資料類型、最終用途和國家。

根據組成部分，亞太多多模式人工智慧市場分為解決方案和服務。 2023 年，解決方案部門將佔據更大的市場佔有率。

根據組織規模，亞太多多模式人工智慧市場分為中小企業和大型企業。 2023 年，大型企業板塊佔據了更大的市場。

根據資料類型，亞太多多模式人工智慧市場分為音訊和視訊、圖像和文字。 2023 年，音訊和視訊領域佔據了最大的市場佔有率。

根據最終用途，亞太多模式人工智慧市場細分為汽車和運輸、BFSI、電子商務和零售、醫療保健、IT和電信、媒體和娛樂等。 2023 年，BFSI 部門佔據了最大的市場佔有率。

依國家分類，亞太多多模式人工智慧市場分為澳洲、中國、印度、日本、韓國和亞太其他地區。 2023 年，中國佔據亞太多模式人工智慧市場的主導佔有率。

Alphabet Inc；亞馬遜網路服務公司；國際商業機器公司； NEC 公司；微軟公司；艾姆軟體； Jina AI GmbH； Reka AI 公司；和 Openstream Inc. 是亞太地區多模式AI 市場的一些領先公司。

目錄

第 1 章：簡介

第 2 章：執行摘要

  • 關鍵見解
  • 市場吸引力

第3章：研究方法

  • 二次研究
  • 初步研究
    • 假設表述：
    • 宏觀經濟因素分析：
    • 發育基數：
    • 數據三角測量：
    • 國家級資料：

第4章：亞太地區多模式人工智慧市場格局

  • 概述
  • 生態系分析
    • 價值鏈中的供應商列表

第5章：亞太多模式人工智慧市場 - 關鍵市場動態

  • 亞太多模式人工智慧市場 - 主要市場動態
  • 市場促進因素
    • 個人化使用者體驗需求不斷成長
    • 醫療保健領域的應用激增
  • 市場限制
    • 道德和隱私問題
  • 市場機會
    • 媒體和娛樂領域的應用
  • 未來趨勢
    • 提高自動駕駛汽車性能的能力
  • 促進因素和限制因素的影響：

第6章：多模式人工智慧市場-亞太市場分析

  • 2021 年至 2031 年亞太地區多模式 AI 市場收入
  • 亞太多模式人工智慧市場預測分析

第 7 章：亞太地區多模式人工智慧市場分析 - 按組件分類

  • 解決方案
  • 服務

第 8 章：亞太地區多模式人工智慧市場分析 - 按組織規模

  • 中小企業
  • 大型企業

第 9 章：亞太地區多模式人工智慧市場分析 - 按資料類型

  • 音訊和視訊
  • 影像
  • 文字

第 10 章：亞太地區多模式人工智慧市場分析 - 按最終用途

  • 汽車和運輸
  • 金融保險業協會
  • 電子商務與零售
  • 衛生保健
  • 資訊科技和電信
  • 媒體和娛樂
  • 其他

第 11 章：亞太多模式人工智慧市場 - 國家分析

  • 亞太地區
    • 澳洲
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太地區其他地區

第 12 章：競爭格局

  • 關鍵參與者的熱圖分析
  • 公司定位與集中度

第 13 章：產業格局

  • 概述
  • 市場計劃
  • 產品新聞和公司新聞
  • 合作與併購

第 14 章：公司簡介

  • Alphabet Inc
  • Amazon Web Services Inc
  • International Business Machines Corp
  • NEC Corp
  • Microsoft Corp
  • Aimesoft
  • Jina AI GmbH
  • Reka AI, Inc
  • Openstream Inc.

第 15 章：附錄

Product Code: BMIRE00031125

The Asia Pacific multimodal AI market was valued at US$ 181.64 million in 2023 and is expected to reach US$ 2,355.86 million by 2031; it is estimated to register a CAGR of 37.8% from 2023 to 2031.

Ability to Improve Self-Driving Car Performance Boosts Asia Pacific Multimodal AI Market

AI is emerging as a primary catalyst of a dramatic shift in the automotive sector due to its ability to transform every element of transportation, from smart vehicle design to personalized in-car interactions. Thus, it subsequently assures safer, more efficient, and environmentally friendly travel for both drivers and passengers. The incorporation of AI-powered multimodal assistants represents a significant leap in mobility solutions. These assistants are intended to facilitate a seamless shift between the modes of transportation owing to their ability to process a variety of inputs, such as voice instructions, pictures, and video feeds. Moreover, owing to this ability, they serve as diverse interfaces that connect people to their vehicles and the surrounding environment. In April 2024, Wayve, a company specializing in AI technology for assisted and automated driving, unveiled Lingo-2. This closed-loop driving model combines vision, language, and action to better explain and predict drivers' behavior. The use of multimodal AI in autonomous vehicles improves their perception and decision-making capabilities. AI-enabled vehicles can navigate difficult circumstances more accurately and safely by processing data obtained from sensors, cameras, and environmental inputs. Significant investments are being made in the market for the development of better AI models for autonomous driving. In 2024, Applied Intuition, an autonomous vehicle software developer, concluded its newest fundraising round of US$ 250 million to deliver AI-enabled technology to vehicles in the automotive, construction, defense, and agricultural industries. Thus, self-driving car performance improvement applications are likely to emerge as a significant trend in the Asia Pacific multimodal AI market in the coming years.

Asia Pacific Multimodal AI Market Overview

The market in APAC is segmented into China, Japan, South Korea, India, Australia, and the Rest of APAC. In recent years, Asia Pacific has seen an upsurge in investments related to multimodal AI. Organizations in Asia Pacific are planning to increase their spending on artificial intelligence (AI) technology over the next few years in order to improve efficiency and accelerate decision-making. In March 2024, Japan's Ministry of Economy, Trade, and Industry announced that NVIDIA will play a key role in creating the country's generative AI infrastructure as Japan tries to capitalize on the technology's economic potential and further train its workforce. NVIDIA is working with digital infrastructure giants such as GMO Internet Group, Highreso, KDDI Corporation, RUTILEA, SAKURA Internet Inc., and SoftBank Corp., which the ministry has certified to lead the development of cloud infrastructure critical for AI applications. Thus, such initiatives in the region are driving the market.

Asia Pacific Multimodal AI Market Revenue and Forecast to 2031 (US$ Million)

Asia Pacific Multimodal AI Market Segmentation

The Asia Pacific multimodal AI market is categorized into component, organization size, data type, end use, and country.

Based on component, the Asia Pacific multimodal AI market is bifurcated into solution and service. The solution segment held a larger market share in 2023.

Based on organization size, the Asia Pacific multimodal AI market is bifurcated into SMEs and large enterprises. The large enterprises segment held a larger market share in 2023.

By data type, the Asia Pacific multimodal AI market is segmented into audio & video, image, and text. The audio & video segment held the largest market share in 2023.

By end use, the Asia Pacific multimodal AI market is segmented into automotive and transportation, BFSI, E-commerce and retail, healthcare, IT and telecom, media & entertainment, and others. The BFSI segment held the largest market share in 2023.

By country, the Asia Pacific multimodal AI market is segmented into Australia, China, India, Japan, South Korea, and the Rest of Asia Pacific. China dominated the Asia Pacific multimodal AI market share in 2023.

Alphabet Inc; Amazon Web Services Inc; International Business Machines Corp; NEC Corp; Microsoft Corp; Aimesoft; Jina AI GmbH; Reka AI, Inc; and Openstream Inc. are some of the leading companies operating in the Asia Pacific multimodal AI market.

Table Of Contents

1. Introduction

  • 1.1 The Insight Partners Research Report Guidance
  • 1.2 Market Segmentation

2. Executive Summary

  • 2.1 Key Insights
  • 2.2 Market Attractiveness

3. Research Methodology

  • 3.1 Secondary Research
  • 3.2 Primary Research
    • 3.2.1 Hypothesis formulation:
    • 3.2.2 Macro-economic factor analysis:
    • 3.2.3 Developing base number:
    • 3.2.4 Data Triangulation:
    • 3.2.5 Country level data:

4. Asia Pacific Multimodal AI Market Landscape

  • 4.1 Overview
  • 4.2 Ecosystem Analysis
    • 4.2.1 List of Vendors in the Value Chain

5. Asia Pacific Multimodal AI Market - Key Market Dynamics

  • 5.1 Asia Pacific Multimodal AI Market - Key Market Dynamics
  • 5.2 Market Drivers
    • 5.2.1 Rising Demand for Personalised User Experience
    • 5.2.2 Surging Application in Healthcare Sector
  • 5.3 Market Restraints
    • 5.3.1 Ethical and Privacy Concerns
  • 5.4 Market Opportunities
    • 5.4.1 Application in Media and Entertainment
  • 5.5 Future Trends
    • 5.5.1 Ability to Improve Self-Driving Car Performance
  • 5.6 Impact of Drivers and Restraints:

6. Multimodal AI Market -Asia Pacific Market Analysis

  • 6.1 Asia Pacific Multimodal AI Market Revenue (US$ Million), 2021-2031
  • 6.2 Asia Pacific Multimodal AI Market Forecast Analysis

7. Asia Pacific Multimodal AI Market Analysis - by Component

  • 7.1 Solution
    • 7.1.1 Overview
    • 7.1.2 Solution: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • 7.2 Service
    • 7.2.1 Overview
    • 7.2.2 Service: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)

8. Asia Pacific Multimodal AI Market Analysis - by Organization Size

  • 8.1 SMEs
    • 8.1.1 Overview
    • 8.1.2 SMEs: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • 8.2 Large Enterprises
    • 8.2.1 Overview
    • 8.2.2 Large Enterprises: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)

9. Asia Pacific Multimodal AI Market Analysis - by Data Type

  • 9.1 Audio and Video
    • 9.1.1 Overview
    • 9.1.2 Audio and Video: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • 9.2 Image
    • 9.2.1 Overview
    • 9.2.2 Image: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • 9.3 Text
    • 9.3.1 Overview
    • 9.3.2 Text: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)

10. Asia Pacific Multimodal AI Market Analysis - by End-use

  • 10.1 Automotive and Transportation
    • 10.1.1 Overview
    • 10.1.2 Automotive and Transportation: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • 10.2 BFSI
    • 10.2.1 Overview
    • 10.2.2 BFSI: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • 10.3 E-commerce and Retail
    • 10.3.1 Overview
    • 10.3.2 E-commerce and Retail: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • 10.4 Healthcare
    • 10.4.1 Overview
    • 10.4.2 Healthcare: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • 10.5 IT and Telecom
    • 10.5.1 Overview
    • 10.5.2 IT and Telecom: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • 10.6 Media and Entertainment
    • 10.6.1 Overview
    • 10.6.2 Media and Entertainment: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • 10.7 Others
    • 10.7.1 Overview
    • 10.7.2 Others: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)

11. Asia Pacific Multimodal AI Market - Country Analysis

  • 11.1 Asia Pacific
    • 11.1.1 Asia Pacific Multimodal AI Market Overview
    • 11.1.2 Asia Pacific: Multimodal AI Market - Revenue and Forecast Analysis - by Country
      • 11.1.2.1 Asia Pacific: Multimodal AI Market - Revenue and Forecast Analysis - by Country
      • 11.1.2.2 Australia: Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
        • 11.1.2.2.1 Australia: Multimodal AI Market Breakdown, by Component
        • 11.1.2.2.2 Australia: Multimodal AI Market Breakdown, by Organization Size
        • 11.1.2.2.3 Australia: Multimodal AI Market Breakdown, by Data Type
        • 11.1.2.2.4 Australia: Multimodal AI Market Breakdown, by End-use
      • 11.1.2.3 China: Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
        • 11.1.2.3.1 China: Multimodal AI Market Breakdown, by Component
        • 11.1.2.3.2 China: Multimodal AI Market Breakdown, by Organization Size
        • 11.1.2.3.3 China: Multimodal AI Market Breakdown, by Data Type
        • 11.1.2.3.4 China: Multimodal AI Market Breakdown, by End-use
      • 11.1.2.4 India: Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
        • 11.1.2.4.1 India: Multimodal AI Market Breakdown, by Component
        • 11.1.2.4.2 India: Multimodal AI Market Breakdown, by Organization Size
        • 11.1.2.4.3 India: Multimodal AI Market Breakdown, by Data Type
        • 11.1.2.4.4 India: Multimodal AI Market Breakdown, by End-use
      • 11.1.2.5 Japan: Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
        • 11.1.2.5.1 Japan: Multimodal AI Market Breakdown, by Component
        • 11.1.2.5.2 Japan: Multimodal AI Market Breakdown, by Organization Size
        • 11.1.2.5.3 Japan: Multimodal AI Market Breakdown, by Data Type
        • 11.1.2.5.4 Japan: Multimodal AI Market Breakdown, by End-use
      • 11.1.2.6 South Korea: Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
        • 11.1.2.6.1 South Korea: Multimodal AI Market Breakdown, by Component
        • 11.1.2.6.2 South Korea: Multimodal AI Market Breakdown, by Organization Size
        • 11.1.2.6.3 South Korea: Multimodal AI Market Breakdown, by Data Type
        • 11.1.2.6.4 South Korea: Multimodal AI Market Breakdown, by End-use
      • 11.1.2.7 Rest of APAC: Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
        • 11.1.2.7.1 Rest of APAC: Multimodal AI Market Breakdown, by Component
        • 11.1.2.7.2 Rest of APAC: Multimodal AI Market Breakdown, by Organization Size
        • 11.1.2.7.3 Rest of APAC: Multimodal AI Market Breakdown, by Data Type
        • 11.1.2.7.4 Rest of APAC: Multimodal AI Market Breakdown, by End-use

12. Competitive Landscape

  • 12.1 Heat Map Analysis by Key Players
  • 12.2 Company Positioning & Concentration

13. Industry Landscape

  • 13.1 Overview
  • 13.2 Market Initiative
  • 13.3 Product News & Company News
  • 13.4 Collaboration and Mergers & Acquisitions

14. Company Profiles

  • 14.1 Alphabet Inc
    • 14.1.1 Key Facts
    • 14.1.2 Business Description
    • 14.1.3 Products and Services
    • 14.1.4 Financial Overview
    • 14.1.5 SWOT Analysis
    • 14.1.6 Key Developments
  • 14.2 Amazon Web Services Inc
    • 14.2.1 Key Facts
    • 14.2.2 Business Description
    • 14.2.3 Products and Services
    • 14.2.4 Financial Overview
    • 14.2.5 SWOT Analysis
    • 14.2.6 Key Developments
  • 14.3 International Business Machines Corp
    • 14.3.1 Key Facts
    • 14.3.2 Business Description
    • 14.3.3 Products and Services
    • 14.3.4 Financial Overview
    • 14.3.5 SWOT Analysis
    • 14.3.6 Key Developments
  • 14.4 NEC Corp
    • 14.4.1 Key Facts
    • 14.4.2 Business Description
    • 14.4.3 Products and Services
    • 14.4.4 Financial Overview
    • 14.4.5 SWOT Analysis
    • 14.4.6 Key Developments
  • 14.5 Microsoft Corp
    • 14.5.1 Key Facts
    • 14.5.2 Business Description
    • 14.5.3 Products and Services
    • 14.5.4 Financial Overview
    • 14.5.5 SWOT Analysis
    • 14.5.6 Key Developments
  • 14.6 Aimesoft
    • 14.6.1 Key Facts
    • 14.6.2 Business Description
    • 14.6.3 Products and Services
    • 14.6.4 Financial Overview
    • 14.6.5 SWOT Analysis
    • 14.6.6 Key Developments
  • 14.7 Jina AI GmbH
    • 14.7.1 Key Facts
    • 14.7.2 Business Description
    • 14.7.3 Products and Services
    • 14.7.4 Financial Overview
    • 14.7.5 SWOT Analysis
    • 14.7.6 Key Developments
  • 14.8 Reka AI, Inc
    • 14.8.1 Key Facts
    • 14.8.2 Business Description
    • 14.8.3 Products and Services
    • 14.8.4 Financial Overview
    • 14.8.5 SWOT Analysis
    • 14.8.6 Key Developments
  • 14.9 Openstream Inc.
    • 14.9.1 Key Facts
    • 14.9.2 Business Description
    • 14.9.3 Products and Services
    • 14.9.4 Financial Overview
    • 14.9.5 SWOT Analysis
    • 14.9.6 Key Developments

15. Appendix

  • 15.1 About The Insight Partners
  • 15.2 Word Index

List Of Tables

  • Table 1. Asia Pacific Multimodal AI Market Segmentation
  • Table 2. List of Vendors
  • Table 3. Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • Table 4. Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million) - by Component
  • Table 5. Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million) - by Organization Size
  • Table 6. Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million) - by Data Type
  • Table 7. Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million) - by End-use
  • Table 8. Asia Pacific: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Country
  • Table 9. Australia: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Component
  • Table 10. Australia: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Organization Size
  • Table 11. Australia: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Data Type
  • Table 12. Australia: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by End-use
  • Table 13. China: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Component
  • Table 14. China: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Organization Size
  • Table 15. China: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Data Type
  • Table 16. China: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by End-use
  • Table 17. India: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Component
  • Table 18. India: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Organization Size
  • Table 19. India: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Data Type
  • Table 20. India: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by End-use
  • Table 21. Japan: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Component
  • Table 22. Japan: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Organization Size
  • Table 23. Japan: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Data Type
  • Table 24. Japan: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by End-use
  • Table 25. South Korea: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Component
  • Table 26. South Korea: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Organization Size
  • Table 27. South Korea: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Data Type
  • Table 28. South Korea: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by End-use
  • Table 29. Rest of APAC: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Component
  • Table 30. Rest of APAC: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Organization Size
  • Table 31. Rest of APAC: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by Data Type
  • Table 32. Rest of APAC: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million) - by End-use
  • Table 33. List of Abbreviation

List Of Figures

  • Figure 1. Asia Pacific Multimodal AI Market Segmentation, by Country
  • Figure 2. Ecosystem: Asia Pacific Multimodal AI Market
  • Figure 3. Impact Analysis of Drivers and Restraints
  • Figure 4. Asia Pacific Multimodal AI Market Revenue (US$ Million), 2021-2031
  • Figure 5. Asia Pacific Multimodal AI Market Share (%) - by Component (2023 and 2031)
  • Figure 6. Solution: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • Figure 7. Service: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • Figure 8. Asia Pacific Multimodal AI Market Share (%) - by Organization Size (2023 and 2031)
  • Figure 9. SMEs: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • Figure 10. Large Enterprises: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • Figure 11. Asia Pacific Multimodal AI Market Share (%) - by Data Type (2023 and 2031)
  • Figure 12. Audio and Video: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • Figure 13. Image: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • Figure 14. Text: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • Figure 15. Asia Pacific Multimodal AI Market Share (%) - by End-use (2023 and 2031)
  • Figure 16. Automotive and Transportation: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • Figure 17. BFSI: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • Figure 18. E-commerce and Retail: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • Figure 19. Healthcare: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • Figure 20. IT and Telecom: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • Figure 21. Media and Entertainment: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • Figure 22. Others: Asia Pacific Multimodal AI Market - Revenue and Forecast to 2031 (US$ Million)
  • Figure 23. Asia Pacific: Multimodal AI Market by Key Countries - Revenue (2023) US$ Million
  • Figure 24. Asia Pacific: Multimodal AI Market Breakdown, by Key Countries, 2023 and 2031 (%)
  • Figure 25. Australia: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million)
  • Figure 26. China: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million)
  • Figure 27. India: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million)
  • Figure 28. Japan: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million)
  • Figure 29. South Korea: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million)
  • Figure 30. Rest of APAC: Multimodal AI Market - Revenue and Forecast to 2031(US$ Million)
  • Figure 31. Heat Map Analysis by Key Players
  • Figure 32. Company Positioning & Concentration