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Global Gesture Recognition Market to reach USD 68.80 billion by the end of 2030.

Global Gesture Recognition Market Size Study & Forecast, by Technology (Touch-based, Touchless), by Industry (Automotive, Consumer Electronics, Healthcare, Others), and Regional Analysis, 2023-2030

Product Code: ICTNGT-62621593
Publish Date: 30-10-2023
Page: 200

Global Gesture Recognition Market is valued at approximately USD 17.29 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 18.8% over the forecast period 2023-2030. Gesture recognition involves the technological analysis and real-time interpretation of human gestures and motions, which are captured by cameras or sensors. Gesture recognition systems typically use a combination of cameras, depth sensors, and machine learning algorithms to detect and analyze gestures. The primary goal of this innovation is to foster instinctive and natural interaction between individuals and machines, allowing users to steer devices using gestures rather than conventional input approaches. The Gesture Recognition Market is expanding because of factors such as the growing trend of digitization across various industries, increasing implementation of the Internet of Things (IoT), rising demand for contactless interfaces, and advancements in camera and sensor technology by the key market players.

The surge in demand for smart devices among consumers is primarily attributed to the market demand during the estimated period. Gesture recognition is gaining high traction in smart devices such as smartphones, tablets, smart TVs, and wearable technology as it offers an alternative to traditional interfaces, attracting consumers looking for innovative ways to interact with their devices. According to Statista, in 2022, there were around 8,298.7 million pieces of consumer electronics accounted for globally, which is projected to constantly rise and is expected to reach 9,181 million pieces by the year 2027. Accordingly, the rapid proliferation of smartphones, tablets, smart TVs, and wearable devices has created a demand for novel and convenient input methods, which, in turn, augment the market growth. Moreover, the rapid development of artificial intelligence and machine learning technology, as well as the increasing technological advancements for efficient HMI and high demand for cost-effective features present various lucrative opportunities over the forecast years. However, the high installation costs and lack of standardization are hindering the market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Gesture Recognition Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the growing adoption of smart devices, advancement in sensor technology, and the presence of key market players such as Microsoft Corporation, Apple Inc., and Intel Corporation. Whereas, Asia Pacific is expected to grow at the highest CAGR over the forecast years.
The growing demand for advanced human-machine interface technologies, high penetration of consumer electronics, as well as growing industrial digitization in emerging countries including India and China are significantly propelling the market demand across the region.

Major market players included in this report are:
Alphabet Inc.
Apple Inc.
Cipia Vision Ltd.
Infineon Technologies AG
Intel Corporation
Microchip Technology Incorporated
Microsoft Corporation
Qualcomm Technologies Incorporated
Sony Depthsensing Solutions SA
Synaptics Incorporated

Recent Developments in the Market:
Ø In April 2023, Elmos presented sensor IC solutions at Sensor+Tesy, showcasing innovative concepts for smart switches for sophisticated gesture control. This technology improves automotive and industrial applications by enabling seamless human-machine interfaces through natural gestures.
Ø In January 2023, PreAct Technologies, a supplier of flash LIDAR technology, acquired the software firm Gestos with the aim of incorporating Gestoos’ advanced gesture detection and computer vision technologies into its extensive activity tracking, device management, and spatial awareness system.
Ø In July 2022, JMicron Technology Corp.’s subsidiary KaikuTek Inc. unveiled its first contactless gesture recognition system at CES 2022. The K60168 solution provides an easy-to-use, affordable, and adaptable method for interacting with numerous machines that previously needed direct physical touch.

Global Gesture Recognition Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Technology, Industry, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Technology:

By Industry:
Consumer Electronics

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Gesture Recognition Market, by Region, 2020-2030 (USD Billion)
1.2.2. Gesture Recognition Market, by Technology, 2020-2030 (USD Billion)
1.2.3. Gesture Recognition Market, by Industry, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Gesture Recognition Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Gesture Recognition Market Dynamics
3.1. Gesture Recognition Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Growing trend of digitization across various industries Surge in demand for smart devices among consumers
3.1.2. Market Challenges High installation costs Lack of standardization
3.1.3. Market Opportunities Rapid development of artificial intelligence and machine learning technology Increasing technological advancements for efficient HMI and high demand for cost-effective features
Chapter 4. Global Gesture Recognition Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Gesture Recognition Market, by Technology
5.1. Market Snapshot
5.2. Global Gesture Recognition Market by Technology, Performance – Potential Analysis
5.3. Global Gesture Recognition Market Estimates & Forecasts by Technology 2020-2030 (USD Billion)
5.4. Gesture Recognition Market, Sub Segment Analysis
5.4.1. Touch-based
5.4.2. Touchless
Chapter 6. Global Gesture Recognition Market, by Industry
6.1. Market Snapshot
6.2. Global Gesture Recognition Market by Industry, Performance – Potential Analysis
6.3. Global Gesture Recognition Market Estimates & Forecasts by Industry 2020-2030 (USD Billion)
6.4. Gesture Recognition Market, Sub Segment Analysis
6.4.1. Automotive
6.4.2. Consumer Electronics
6.4.3. Healthcare
6.4.4. Others
Chapter 7. Global Gesture Recognition Market, Regional Analysis
7.1. Top Leading Countries
7.2. Top Emerging Countries
7.3. Gesture Recognition Market, Regional Market Snapshot
7.4. North America Gesture Recognition Market
7.4.1. U.S. Gesture Recognition Market Technology breakdown estimates & forecasts, 2020-2030 Industry breakdown estimates & forecasts, 2020-2030
7.4.2. Canada Gesture Recognition Market
7.5. Europe Gesture Recognition Market Snapshot
7.5.1. U.K. Gesture Recognition Market
7.5.2. Germany Gesture Recognition Market
7.5.3. France Gesture Recognition Market
7.5.4. Spain Gesture Recognition Market
7.5.5. Italy Gesture Recognition Market
7.5.6. Rest of Europe Gesture Recognition Market
7.6. Asia-Pacific Gesture Recognition Market Snapshot
7.6.1. China Gesture Recognition Market
7.6.2. India Gesture Recognition Market
7.6.3. Japan Gesture Recognition Market
7.6.4. Australia Gesture Recognition Market
7.6.5. South Korea Gesture Recognition Market
7.6.6. Rest of Asia Pacific Gesture Recognition Market
7.7. Latin America Gesture Recognition Market Snapshot
7.7.1. Brazil Gesture Recognition Market
7.7.2. Mexico Gesture Recognition Market
7.8. Middle East & Africa Gesture Recognition Market
7.8.1. Saudi Arabia Gesture Recognition Market
7.8.2. South Africa Gesture Recognition Market
7.8.3. Rest of Middle East & Africa Gesture Recognition Market

Chapter 8. Competitive Intelligence
8.1. Key Company SWOT Analysis
8.1.1. Company 1
8.1.2. Company 2
8.1.3. Company 3
8.2. Top Market Strategies
8.3. Company Profiles
8.3.1. Alphabet Inc. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
8.3.2. Apple Inc.
8.3.3. Cipia Vision Ltd.
8.3.4. Infineon Technologies AG
8.3.5. Intel Corporation
8.3.6. Microchip Technology Incorporated
8.3.7. Microsoft Corporation
8.3.8. Qualcomm Technologies Incorporated
8.3.9. Sony Depthsensing Solutions SA
8.3.10. Synaptics Incorporated
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
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Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
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Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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