首页 > 市场调查报告书 > 材料

市场调查报告书

商品编码

1621895

多模式 UI 市场机会、成长驱动因素、产业趋势分析与预测 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个工作天内

价格

简介目录

2023多模式，全球多模式 UI 市场估值为 195 亿美元，预计 2024 年至 2032 年复合年增长率为 16.5%。 UI能力。这些技术使设备能够解释多种类型的使用者输入，例如语音、手势、触控和脸部表情，以提供更准确、更流畅的互动。透过分析来自各种输入模式的资料，人工智慧驱动的多模式UI 可创造适应使用者需求的无缝、直觉的体验，使其在医疗保健、汽车和消费性电子产品等领域至关重要。随着人工智慧的发展，多模式使用者介面预计将变得越来越智能，并且能够管理跨不同应用程式的复杂任务。

从智慧型手机和智慧型手錶到智慧型电视和穿戴式设备，智慧型设备的日益普及推动了对先进互动方法的需求，以实现流畅、直观的用户体验。当今的消费者希望以多种方式与设备互动，包括语音命令、触控萤幕和手势，这反映出向更身临其境的数位互动的转变。这一趋势在新兴市场尤为突出，智慧型手机的普及率正在迅速上升，为多模式UI 技术创造了肥沃的土壤。此外，智慧家庭生态系统的扩展增加了对允许用户高效、轻鬆地控制互连设备的介面的需求。

从互动类型来看，多模式UI市场包含语音辨识、手势辨识、眼球追踪、脸部表情辨识、触觉互动、视觉互动等。预计手势辨识领域在预测期内将以 19.7% 的复合年增长率成长。手势辨识技术提供了一种直觉、非接触式的装置互动方法，广泛应用于游戏、虚拟实境 (VR)、扩增实境 (AR) 和智慧家庭设定等应用中。利用感测器、相机和人工智慧演算法，手势辨识即时解释使用者动作，从而提供身临其境的动态使用者体验。

市场范围
开始年份	2023年
预测年份	2024-2032
起始值	195 亿美元
预测值	770 亿美元
复合年增长率	16.5%

该市场还按组件细分，包括硬体、软体和服务类别。硬体部分（包括触控萤幕、麦克风、相机和感测器等装置）预计到 2032 年将达到 308 亿美元。多模式互动至关重要。由于美国强大的技术创新生态系统以及汽车和医疗保健等行业对先进介面的高需求，到 2023 年，美国将在北美多模式UI 市场占据 76.2% 的主导份额。

产业生态系统分析
- 影响价值链的因素
- 利润率分析
- 干扰
- 未来展望
- 製造商
- 经销商
供应商格局
利润率分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 智慧型设备的采用不断增加
  - 人工智慧和机器学习的进步
  - 汽车产业需求不断成长
  - 与扩增实境和虚拟实境 (AR/VR) 集成
- 产业陷阱与挑战
  - 跨装置的相容性问题
  - 资料隐私和安全问题
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按组成部分，2021-2032 年

主要趋势
硬体
软体
服务

第 6 章：市场估计与预测：透过互动，2021-2032

主要趋势
语音辨识
手势识别
眼球追踪
脸部表情辨识
触觉/触觉交互
视觉交互
其他的

第 7 章：市场估计与预测：按平台划分，2021-2032 年

主要趋势
行动装置（智慧型手机、平板电脑）
穿戴式装置（智慧手錶、AR 眼镜）
桌上型电脑/笔记型电脑
其他的

第 8 章：市场估计与预测：依最终用途垂直划分，2021-2032 年

主要趋势
汽车
卫生保健
娱乐
资讯科技与电信
消费性电子产品
教育
零售
其他的

第 9 章：市场估计与预测：按地区，2021-2032 年

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 俄罗斯
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳洲
拉丁美洲
- 巴西
- 墨西哥
MEA
- 南非
- 沙乌地阿拉伯
- 阿联酋

第 10 章：公司简介

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

简介目录

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