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市場調查報告書

商品編碼

1621895

多模式 UI 市場機會、成長促進因素、產業趨勢分析與預測 2024 - 2032 年

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

出版日期: 2024年10月28日 | 出版商:

Global Market Insights Inc. | 英文 210 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

2023多模式，全球多模式 UI 市場估值為 195 億美元，預計 2024 年至 2032 年複合年成長率為 16.5%。 UI能力。這些技術使設備能夠解釋多種類型的使用者輸入，例如語音、手勢、觸控和臉部表情，以提供更準確、更流暢的互動。透過分析來自各種輸入模式的資料，人工智慧驅動的多模式UI 可創造適應使用者需求的無縫、直覺的體驗，使其在醫療保健、汽車和消費性電子產品等領域至關重要。隨著人工智慧的發展，多模式使用者介面預計將變得越來越智慧，並且能夠管理跨不同應用程式的複雜任務。

從智慧型手機和智慧型手錶到智慧型電視和穿戴式設備，智慧型設備的日益普及推動了對先進互動方法的需求，以實現流暢、直覺的用戶體驗。當今的消費者希望以多種方式與設備互動，包括語音命令、觸控螢幕和手勢，這反映出向更身臨其境的數位互動的轉變。這一趨勢在新興市場尤為突出，智慧型手機的普及率正在迅速上升，為多模式UI 技術創造了肥沃的土壤。此外，智慧家庭生態系統的擴展增加了對允許用戶高效、輕鬆地控制互連設備的介面的需求。

從互動類型來看，多模式UI市場包含語音辨識、手勢辨識、眼球追蹤、臉部表情辨識、觸覺互動、視覺互動等。預計手勢辨識領域在預測期內將以 19.7% 的複合年成長率成長。手勢辨識技術提供了一種直覺、非接觸式的裝置互動方法，廣泛應用於遊戲、虛擬實境 (VR)、擴增實境 (AR) 和智慧家庭設定等應用中。利用感測器、相機和人工智慧演算法，手勢辨識即時解釋使用者動作，從而提供身臨其境的動態使用者體驗。

市場範圍
開始年份	2023年
預測年份	2024-2032
起始值	195 億美元
預測值	770 億美元
複合年成長率	16.5%

該市場還按組件細分，包括硬體、軟體和服務類別。硬體部分（包括觸控螢幕、麥克風、相機和感測器等裝置）預計到 2032 年將達到 308 億美元。多模式互動至關重要。由於美國強大的技術創新生態系統以及汽車和醫療保健等行業對先進介面的高需求，到 2023 年，美國將在北美多模式UI 市場佔據 76.2% 的主導佔有率。

產業生態系統分析
- 影響價值鏈的因素
- 利潤率分析
- 干擾
- 未來展望
- 製造商
- 經銷商
供應商格局
利潤率分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 智慧型設備的採用不斷增加
  - 人工智慧和機器學習的進步
  - 汽車產業需求不斷成長
  - 與擴增實境和虛擬實境 (AR/VR) 整合
- 產業陷阱與挑戰
  - 跨裝置的相容性問題
  - 資料隱私和安全問題
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

主要趨勢
硬體
軟體
服務

第 6 章：市場估計與預測：透過互動，2021-2032

主要趨勢
語音辨識
手勢識別
眼球追蹤
臉部表情辨識
觸覺/觸覺交互
視覺交互
其他

第 7 章：市場估計與預測：按平台分類，2021-2032 年

主要趨勢
行動裝置（智慧型手機、平板電腦）
穿戴式裝置（智慧手錶、AR 眼鏡）
桌上型電腦/筆記型電腦
其他

第 8 章：市場估計與預測：依最終用途垂直分類，2021-2032 年

主要趨勢
汽車
衛生保健
娛樂
資訊科技與電信
消費性電子產品
教育
零售
其他

第 9 章：市場估計與預測：按地區，2021-2032 年

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
- 俄羅斯
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳洲
拉丁美洲
- 巴西
- 墨西哥
MEA
- 南非
- 沙烏地阿拉伯
- 阿拉伯聯合大公國

第 10 章：公司簡介

Amazon.com, Inc.
Aptiv PLC
Baidu, Inc.
Bosch Sensortec GmbH
Cognitec Systems GmbH
Eyesight Technologies Ltd.
Fujitsu Limited
GestureTek Technologies
Google LLC
Harman International Industries, Inc.
Huawei Technologies Co., Ltd.
IBM Corporation
Intel Corporation
Microsoft Corporation
Nuance Communications, Inc.
NVIDIA Corporation
Qualcomm Technologies, Inc.
Samsung Electronics Co., Ltd.
Sony Corporation
Synaptics Incorporated
Texas Instruments Incorporated
Tobii AB
VoiceBox Technologies Corporation

簡介目錄

Product Code: 12005

The Global Multimodal UI Market was valued at USD 19.5 billion in 2023 and is projected to grow at a CAGR of 16.5% from 2024 to 2032. The rapid adoption of artificial intelligence (AI) and machine learning (ML) technologies is significantly transforming multimodal UI capabilities. These technologies enable devices to interpret multiple types of user input, such as voice, gestures, touch, and facial expressions, to provide more accurate and fluid interactions. By analyzing data from various input modes, AI-powered multimodal UIs create seamless, intuitive experiences that adapt to user needs, making them essential in sectors like healthcare, automotive, and consumer electronics. As AI evolves, multimodal UIs are expected to become increasingly intelligent and capable of managing complex tasks across diverse applications.

The growing popularity of smart devices-from smartphones and smartwatches to smart TVs and wearables-has fueled demand for advanced interaction methods that enable a smooth, intuitive user experience. Today's consumers want to engage with devices in multiple ways, including voice commands, touchscreens, and gestures, reflecting a shift toward more immersive digital interactions. This trend is especially prominent in emerging markets, where smartphone adoption is rapidly rising and creating fertile ground for multimodal UI technology. Additionally, the expansion of smart home ecosystems has increased the demand for interfaces that allow users to control interconnected devices efficiently and effortlessly.

In terms of interaction types, the multimodal UI market includes speech recognition, gesture recognition, eye tracking, facial expression recognition, haptic/tactile interaction, visual interaction, and others. The gesture recognition segment is anticipated to grow at a notable CAGR of 19.7% during the forecast period. Gesture recognition technology provides an intuitive, touch-free method of interacting with devices and is widely adopted in applications like gaming, virtual reality (VR), augmented reality (AR), and smart home settings. Utilizing sensors, cameras, and AI algorithms, gesture recognition interprets user movements in real-time, allowing for an immersive, dynamic user experience.

Market Scope
Start Year	2023
Forecast Year	2024-2032
Start Value	$19.5 Billion
Forecast Value	$77 Billion
CAGR	16.5%

The market is also segmented by component, with hardware, software, and service categories. The hardware segment-which includes devices like touchscreens, microphones, cameras, and sensors-is expected to reach USD 30.8 billion by 2032. Hardware components are critical for capturing a range of inputs, enabling seamless multimodal interactions across devices like smartphones, wearables, and AR headsets. The U.S. held a dominant 76.2% share of the North American multimodal UI market in 2023, bolstered by the country's strong tech innovation ecosystem and high demand for advanced interfaces across industries like automotive and healthcare.

Chapter 1 Methodology & Scope

1.1 Market scope & definitions
1.2 Base estimates & calculations
1.3 Forecast calculations
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 synopsis, 2021-2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
- 3.1.1 Factor affecting the value chain
- 3.1.2 Profit margin analysis
- 3.1.3 Disruptions
- 3.1.4 Future outlook
- 3.1.5 Manufacturers
- 3.1.6 Distributors
3.2 Supplier landscape
3.3 Profit margin analysis
3.4 Key news & initiatives
3.5 Regulatory landscape
3.6 Impact forces
- 3.6.1 Growth drivers
  - 3.6.1.1 Rising adoption of smart devices
  - 3.6.1.2 Advancements in AI and machine learning
  - 3.6.1.3 Growing demand in the automotive sector
  - 3.6.1.4 Integration with augmented and virtual reality (AR/VR)
- 3.6.2 Industry pitfalls & challenges
  - 3.6.2.1 Compatibility issues across devices
  - 3.6.2.2 Data privacy and security concerns
3.7 Growth potential analysis
3.8 Porter's analysis
3.9 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 & Forecast, By Component, 2021-2032 (USD Million)

5.1 Key trends
5.2 Hardware
5.3 Software
5.4 Service

Chapter 6 Market Estimates & Forecast, By Interaction, 2021-2032 (USD Million)

6.1 Key trends
6.2 Speech recognition
6.3 Gesture recognition
6.4 Eye tracking
6.5 Facial expression recognition
6.6 Haptics/tactile interaction
6.7 Visual interaction
6.8 Others

Chapter 7 Market Estimates & Forecast, By Platform, 2021-2032 (USD Million)

7.1 Key trends
7.2 Mobile devices (smartphones, tablets)
7.3 Wearables (smartwatches, AR glasses)
7.4 Desktops/laptops
7.5 Others

Chapter 8 Market Estimates & Forecast, By End Use Vertical, 2021-2032 (USD Million)

8.1 Key trends
8.2 Automotive
8.3 Healthcare
8.4 Entertainment
8.5 It & telecommunication
8.6 Consumer electronics
8.7 Education
8.8 Retail
8.9 Others

Chapter 9 Market Estimates & Forecast, By Region, 2021-2032 (USD Million)

9.1 Key trends
9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
9.3 Europe
- 9.3.1 UK
- 9.3.2 Germany
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.3.6 Russia
9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 India
- 9.4.3 Japan
- 9.4.4 South Korea
- 9.4.5 Australia
9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
9.6 MEA
- 9.6.1 South Africa
- 9.6.2 Saudi Arabia
- 9.6.3 UAE