首頁 > 市場調查報告書 > 電子零件/半導體

感測器

手勢識別市場：按組件類型、最終用途行業、地區 - 規模、份額、展望、機會分析，2022-2030 年

市場調查報告書

商品編碼

1213963

手勢識別市場：按組件類型、最終用途行業、地區 - 規模、份額、展望、機會分析，2022-2030 年

Gesture Recognition Market, By Component Type, By End-Use Industry, By Region - Size, Share, Outlook, and Opportunity Analysis, 2022 - 2030

出版日期: 2023年01月17日 | 出版商:

Coherent Market Insights | 英文 150 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

手勢識別是一種理解人類手勢和動作的技術，例如手指、手、頭、手臂或全身運動。手勢識別技術允許用戶通過自己的手勢來操作和控制設備。例如，用戶可以通過將手指指向屏幕來移動光標。手勢識別使用各種傳感器，例如紅外傳感器和圖像傳感器來識別和操作設備。手勢識別技術用於許多行業，包括汽車、零售、航空航天和國防以及醫療保健。智能手機對非接觸式傳感技術和具有升級跟蹤和監控功能的非接觸式生物識別解決方案的需求不斷增長，預計將為市場增長創造有利可圖的機會。

2021 年全球手勢識別市場價值 141.484 億美元。

市場動態

由於零售業採用基於 AI 的手勢識別，預計全球手勢識別市場在預測期內將出現顯著增長。通過基於人工智能的手勢識別，零售商可以從消費者的面部和手勢中瞭解商品的受歡迎程度。零售商可以分析購物者對店內不同產品的反應，並確定產品的適銷性。例如，2019 年 3 月，Amazon.com, Inc. 開始增強其 ReKognition（基於雲的軟件）面部分析功能。這種增強使零售商能夠感知客戶的情緒。此外，2017 年 7 月，沃爾瑪開發了面部識別技術來檢測沮喪或不開心的購物者。通過這項技術，零售商可以輕鬆評估新產品在商店中的表現是否良好，並預測產品的最佳生產地點以獲得更好的結果。通過使用 AI 驅動的手勢識別技術，零售商可以使用預測數據瞭解消費者偏好和購物趨勢，並展示顧客最有可能購買的產品。

此外，許多不同地區的全球參與者都在專注於開發具有新功能和新技術的新產品，以保持在市場上的競爭力。各行業都專注於使用各種擴展策略（例如合作夥伴關係、協作和合併）來擴展業務，以滿足最終用戶的需求。例如，2017 年 8 月，美國製造服務公司 Jabil Inc. 宣佈與開發人工智能技術的以色列公司 eyesight Technologies 建立合作夥伴關係。通過這種合作關係，兩家公司開發了汽車傳感技術，可以檢測輔助人員的存在並改善人機界面。

這項研究的主要特點

本報告深入分析了以 2021 年為基準年的預測期內（2022-2030 年）全球手勢識別市場規模（十億美元）和復合年增長率 (CAGR%) 的增長情況。
它揭示了各個細分市場的潛在收入機會，並概述了該市場具有吸引力的投資建議矩陣。
它還提供重要的見解，例如市場驅動因素、制約因素、機會、新產品發佈或批准、區域前景以及主要市場進入者採用的競爭戰略。
全球手勢識別市場的主要參與者是根據公司概況、經營業績、產品組合、地域分佈、市值、關鍵發展、戰略和未來計劃等參數進行分析的。
本次調查涵蓋的公司包括Intel Corporation, Qualcomm Technologies, Inc., IBM Corporation, Google Inc., Microsoft, Facebook, Inc., Samsung Electronics Co., Ltd., Baidu Inc, Cisco Systems, Inc., Apple, Inc., Infineon Technologies AG, PointGrab Inc., Elliptic Laboratories A/S, Microchip Technology Inc., OmniVision Technologies, Inc., OMRON Corporation, Sony Corporation, Texas Instruments Incorporated, Sony Depthsensing Solutions, Jabil Inc., and Ultraleap
這份報告中的見解應該能讓企業營銷人員和管理人員就未來的產品發佈、產品升級、市場擴張和營銷策略做出明智的決策。看起來。
本研究報告面向該行業的各種利益相關者，包括投資者、供應商、託管服務提供商、第三方服務提供商、分銷商、新進入者和增值經銷商。
利益相關者可以通過用於分析全球手勢識別市場的各種戰略矩陣來促進決策制定。

內容

第 1 章目的和先決條件

調查目的
先決條件
縮寫說明

第二章市場展望

報告內容
- 市場定義和範圍
執行摘要
- 市場細分：按組件類型
- 市場細分：按最終用戶行業
- 按地區劃分的市場細分
連貫機會圖 (COM)

第3章市場動態、規律及趨勢分析

市場動態
- 司機
- 約束因素
- 市場機會
監管場景
行業趨勢
併購
新系統啟動/批准
大流行對 COVID-19 的影響

第 4 章按組件類型劃分的全球手勢識別市場，2017-2030

觸摸類型
非接觸式系統

第 5 章全球手勢識別市場：按最終用途行業分類，2017-2030

汽車
航空航天與國防
消費類電子產品
醫療保健
零售
遊戲
其他

第 6 章全球手勢識別市場：按地區劃分，2017-2030

北美
美國
加拿大
歐洲
英國
德國
法國
意大利
俄羅斯
其他歐洲地區
亞太地區
中國
印度
日本
東盟
澳大利亞
韓國
其他亞太地區
拉丁美洲
巴西
阿根廷
墨西哥
其他拉丁美洲地區
中東和非洲
南非
海灣合作委員會國家
其他中東和非洲地區

第七章競爭格局

公司簡介
- Intel Corporation
- Qualcomm Technologies, Inc.
- IBM Corporation
- Google Inc.
- Microsoft
- Facebook, Inc.
- Samsung Electronics Co., Ltd.
- Baidu Inc
- Cisco Systems, Inc.
- Apple, Inc.
- Infineon Technologies AG
- PointGrab Inc.
- Elliptic Laboratories A/S
- Microchip Technology Inc.
- OmniVision Technologies, Inc.
- OMRON Corporation
- Sony Corporation
- Texas Instruments Incorporated
- Sony Depthsensing Solutions
- Jabil Inc.
- Ultraleap

第 8 章

參考文獻
調查方法

簡介目錄

Product Code: CMI4288

Gesture recognition is technology that understands human gestures and actions such as the movement of the finger, hand, head, arm, or the entire body. Gesture recognition technology allows users to operate and control devices with their gestures. For instance, users can move the cursor by pointing fingers at the screen. Gesture recognition uses different sensors such as infrared sensors, image sensors, and others to recognize and interact with devices. Gesture recognition technology is used in many industries such as automotive, retail, aerospace & defense, healthcare, and others. The increasing demand for touchless sensing technology in smartphones and touchless biometric solutions with upgraded tracking and monitoring functionalities is expected to create lucrative opportunities for the market growth.

The Global Gesture Recognition market was valued for US$ 14148.4 Mn in 2021.

Market Dynamics

The global gesture recognition market is expected to witness significant growth during the forecast period owing to adoption of AI-based gesture recognition in the retail sector. Through AI-based gesture recognition, retailers can check popularity of an item through consumer facial and hand gestures. Retailers can analyze how shoppers are reacting to different products in-store and can determine the potential of a product for sale. For instance, in March 2019, Amazon.com, Inc. launched an enhanced to face analysis feature of ReKognition (cloud-based software). Through these enhancements, retailers are able to detect the moods of customers. Furthermore, in July 2017, Walmart developed facial recognition technology to detect frustrated and unhappy shoppers. Through this technology, retailers can easily assess whether new items are working in a store or not and can predict the best place for products to position production for better results. By using AI-based gesture recognition technology, the retailer can use predictive data to determine consumer preference and shopping habits and display those items that customers are most likely to purchase.

Furthermore, many global players across different regions are focusing on developing new products with new features and technologies to remain competitive in the market. Industries are focusing on expanding their businesses by using various expansion strategies such as partnerships, collaborations, and mergers to cater to demand from end-users. For instance, in August 2017, Jabil Inc., a U.S. based manufacturing Services Company, announced a partnership with eyesight Technologies, an Israel-based company that develops artificial intelligence technologies. Through this partnership, these companies have developed in-car sensing technology to detect the presence of drivers and improve human machine interface.

Key features of the study:

This report provides in-depth analysis of the global gesture recognition market size (US$ Billion) and compound annual growth rate (CAGR %) for the forecast period (2022- 2030), considering 2021 as the base year
It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
This study also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, regional outlook, and competitive strategies adopted by the leading market players
It profiles leading players in the global gesture recognition market based on the following parameters - company overview, financial performance, product portfolio, geographical presence, market capital, key developments, strategies, and future plans
Companies covered as a part of this study are Intel Corporation, Qualcomm Technologies, Inc., IBM Corporation, Google Inc., Microsoft, Facebook, Inc., Samsung Electronics Co., Ltd., Baidu Inc, Cisco Systems, Inc., Apple, Inc., Infineon Technologies AG, PointGrab Inc., Elliptic Laboratories A/S, Microchip Technology Inc., OmniVision Technologies, Inc., OMRON Corporation, Sony Corporation, Texas Instruments Incorporated, Sony Depthsensing Solutions, Jabil Inc., and Ultraleap
Insights from this report would allow marketers and management authorities of companies to make informed decisions regarding future product launches, product upgrades, market expansion, and marketing tactics
The global gesture recognition market report caters to various stakeholders in this industry including investors, suppliers, managed service providers, third-party service providers, distributors, new entrants, and value-added resellers
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global gesture recognition market.

Detailed Segmentation

Global Gesture Recognition Market, By Component Type:
- Touched System
- Touchless System
Global Gesture Recognition Market, By End-Use Industry:
- Automotive
- Aerospace & Defense
- Consumer Electronics
- Healthcare
- Retail
- Gaming
- Others
Global Gesture Recognition Market, By Region:
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East and Africa
Company Profiles
- Intel Corporation *
  - Company Overview
  - Product Portfolio
  - Financial Performance
  - Key Strategies
  - Recent Developments
- Qualcomm Technologies, Inc.
- IBM Corporation
- Google Inc.
- Microsoft
- Facebook, Inc.
- Samsung Electronics Co., Ltd.
- Baidu Inc
- Cisco Systems, Inc.
- Apple, Inc.
- Infineon Technologies AG
- PointGrab Inc.
- Elliptic Laboratories A/S
- Microchip Technology Inc.
- OmniVision Technologies, Inc.
- OMRON Corporation
- Sony Corporation
- Texas Instruments Incorporated
- Sony Depthsensing Solutions
- Jabil Inc.
- Ultraleap

"*" marked represents similar segmentation in other categories in the respective section.

1. Research Objectives and Assumptions

Research Objectives
Assumptions
Abbreviations

2. Market Purview

Report Description
- Market Definition and Scope
Executive Summary
- Market Snippet, By Component Type
- Market Snippet, By End-Use Industry
- Market Snippet, By Region
Coherent Opportunity Map (COM)

3. Market Dynamics, Regulations, and Trends Analysis

Market Dynamics
- Drivers
- Restraints
- Market Opportunities
Regulatory Scenario
Industry Trend
Merger and Acquisitions
New system Launch/Approvals
Impact of COVID-19 Pandemic

4. Global Gesture Recognition Market, By Component Type, 2017-2030 (US$ Million)

Introduction
- Market Share Analysis, 2022 and 2030 (%)
- Segment Trends
Touched System
- Introduction
- Market Size and Forecast, 2017-2030, (US$ Million)
Touchless System
- Introduction
- Market Size and Forecast, 2017-2030, (US$ Million)

5. Global Gesture Recognition Market, By End-Use Industry, 2017-2030 (US$ Million)

Introduction
- Market Share Analysis, 2022 and 2030 (%)
- Segment Trends
Automotive
- Introduction
- Market Size and Forecast, 2017-2030, (US$ Million)
Aerospace & Defense
- Introduction
- Market Size and Forecast, 2017-2030, (US$ Million)
Consumer Electronics
- Introduction
- Market Size and Forecast, 2017-2030, (US$ Million)
Healthcare
- Introduction
- Market Size and Forecast, 2017-2030, (US$ Million)
Retail
- Introduction
- Market Size and Forecast, 2017-2030, (US$ Million)
Gaming
- Introduction
- Market Size and Forecast, 2017-2030, (US$ Million)
Others
- Introduction
- Market Size and Forecast, 2017-2030, (US$ Million)

6. Global Gesture Recognition Market, By Region, 2017-2030 (US$ Million)

Introduction
- Market Share Analysis, By Region, 2022 and 2030 (%)
North America
- Regional Trends
- Market Size and Forecast, By Component Type, 2017-2030, (US$ Million)
- Market Size and Forecast, By End-Use Industry, 2017-2030, (US$ Million)
- Market Share Analysis, By Country, 2022 and 2030 (%)
U.S.
Canada
Europe
- Regional Trends
- Market Size and Forecast, By Component Type, 2017-2030, (US$ Million)
- Market Size and Forecast, By End-Use Industry, 2017-2030, (US$ Million)
- Market Share Analysis, By Country, 2022 and 2030 (%)
U.K.
Germany
France
Italy
Russia
Rest of Europe
Asia Pacific
- Regional Trends
- Market Size and Forecast, By Component Type, 2017-2030, (US$ Million)
- Market Size and Forecast, By End-Use Industry, 2017-2030, (US$ Million)
- Market Share Analysis, By Country, 2022 and 2030 (%)
China
India
Japan
ASEAN
Australia
South Korea
Rest of Asia Pacific
Latin America
- Regional Trends
- Market Size and Forecast, By Component Type, 2017-2030, (US$ Million)
- Market Size and Forecast, By End-Use Industry, 2017-2030, (US$ Million)
- Market Share Analysis, By Country, 2022 and 2030 (%)
Brazil
Argentina
Mexico
Rest of Latin America
Middle East and Africa
- Market Size and Forecast, By Component Type, 2017-2030, (US$ Million)
- Market Size and Forecast, By End-Use Industry, 2017-2030, (US$ Million)
- Market Share Analysis, By Country, 2022 and 2030 (%)
South Africa
GCC Countries
Rest of the Middle East and Africa