The Latest Gesture Recognition Industry Statistics Explained
The global gesture recognition market is projected to reach USD 30.6 billion by 2025, from USD 9.8 billion in 2020, at a CAGR of 27.0% during the forecast period.
The statistic indicates that the global gesture recognition market is expected to grow significantly over the forecast period from 2020 to 2025, with a compound annual growth rate (CAGR) of 27.0%. This growth reflects a substantial increase in market size, from USD 9.8 billion in 2020 to a projected USD 30.6 billion by 2025. The high CAGR suggests a strong demand for gesture recognition technology across various industries and applications, driven by factors such as technological advancements, increasing adoption of touchless interaction solutions, and rising consumer preference for convenient and intuitive user interfaces. This growth trajectory indicates promising opportunities for companies operating in the gesture recognition market and highlights the growing importance of gesture-based interfaces in the evolving technology landscape.
The touch-less gesture recognition technologies are expected to gain high demand due to the increased hygiene concerns of consumers.
The statistic suggests that touch-less gesture recognition technologies are anticipated to become increasingly popular among consumers. This is driven by rising concerns around hygiene and cleanliness in various settings, such as public spaces, retail stores, and healthcare facilities. With the ongoing global focus on health and safety, people are more inclined towards contactless solutions to minimize the risk of germ transmission through physical touch. As a result, the demand for touch-less gesture recognition technologies is projected to surge as individuals prioritize hygienic interactions with devices and interfaces.
The automotive industry is anticipated to offer numerous growth opportunities for the gesture recognition market over the forecast period.
The statistic suggests that the automotive industry is expected to provide ample prospects for the gesture recognition market in the foreseeable future. This indicates that there is a projected increase in demand for gesture recognition technologies within the automotive sector, likely driven by advancements in vehicle technology and the growing emphasis on enhancing the user experience and safety features in vehicles. The expansion of the automotive industry, combined with the integration of innovative technologies like gesture recognition, is poised to create a favorable environment for market growth and development within this specific sector.
The North America gesture recognition market will experience substantial growth due to increased IoT penetration in the overall industry.
The statistic indicates that the North America gesture recognition market is expected to grow significantly, largely driven by the increased adoption of the Internet of Things (IoT) technology across various industries in the region. Gesture recognition technology allows users to interact with devices through gestures and movements, offering a more intuitive and convenient user experience. As IoT continues to penetrate different sectors such as healthcare, automotive, consumer electronics, and manufacturing, the demand for gesture recognition technology is expected to rise, leading to substantial growth in the North America market. This trend suggests a growing recognition of the benefits and applications of gesture recognition technology in improving efficiency, enhancing user experience, and driving innovation in various industries within the region.
The gesture recognition market in Asia Pacific is expected to hold the highest CAGR of 28.2% during the forecast period.
This statistic means that the gesture recognition market in the Asia Pacific region is projected to experience the highest Compound Annual Growth Rate (CAGR) of 28.2% over the forecast period. This indicates a strong and rapid growth trend in the industry, suggesting increasing adoption and demand for gesture recognition technology in countries across Asia Pacific. Factors driving this expected growth could include advancements in technology, increasing use of smart devices, and growing applications in various sectors such as consumer electronics, healthcare, automotive, and others. This high CAGR reflects a promising market opportunity for companies operating in the gesture recognition sector to expand their reach and capitalize on the region’s burgeoning demand for these innovative technologies.
The Consumer Electronics sector of the Gesture Recognition market holds the largest market share at 27% as of 2020.
The statistic “The Consumer Electronics sector of the Gesture Recognition market holds the largest market share at 27% as of 2020” indicates that within the broader market for gesture recognition technology, the Consumer Electronics sector commands the highest proportion of market share, accounting for 27% of the total market in the year 2020. This suggests that a significant portion of the demand and revenue generated within the gesture recognition market comes from consumer electronic devices such as smartphones, tablets, gaming consoles, and wearable devices that utilize gesture recognition technology. The dominance of the Consumer Electronics sector in this market demonstrates the widespread adoption and integration of gesture recognition technology into everyday consumer products and highlights the sector’s importance in driving the overall growth and development of the gesture recognition market.
The automotive sector is estimated to hold a 38.9% market share by 2027 in the Gesture Recognition market.
The statistic suggests that the automotive sector is projected to have a substantial presence in the Gesture Recognition market by capturing a 38.9% market share by 2027. This indicates that a significant portion of the total market for Gesture Recognition technology is expected to be dominated by automotive companies incorporating gesture control features in their vehicles. This statistic emphasizes the growing importance and adoption of gesture recognition technology within the automotive industry, aligning with the trend towards more advanced and intuitive human-machine interfaces in vehicles. It also highlights the competitive landscape within the Gesture Recognition market, with the automotive sector poised to be a key player in driving innovation and market growth in this space.
The hardware segment of the Gesture Recognition market is estimated to account for more than 76% share of the market by the end of 2027.
This statistic indicates that the hardware segment, within the Gesture Recognition market, is projected to dominate the market with a share of over 76% by the conclusion of 2027. This suggests that a significant portion of the market’s revenue and focus will be driven by hardware components such as sensors, cameras, and integrated circuits used in gesture recognition technology. The high market share of the hardware segment reflects its critical role in enabling and powering gesture recognition systems, highlighting the importance of advancements and investments in hardware technologies within this market sector.
Gesture recognition in Smart TVs was the emerging trend, which grew at a CAGR of 30.9% during 2015-2020.
The statistic “Gesture recognition in Smart TVs was the emerging trend, which grew at a CAGR of 30.9% during 2015-2020,” indicates that the adoption and usage of gesture recognition technology in Smart TVs experienced significant and consistent growth over the five-year period from 2015 to 2020. The compound annual growth rate (CAGR) of 30.9% highlights the rapid expansion of this trend, suggesting a strong demand for Smart TVs equipped with gesture recognition features during this time frame. This growth rate implies a steady increase in the adoption of gesture recognition technology by consumers, showing a shift towards more intuitive and interactive ways of interacting with Smart TVs.
3D gesture recognition technology is projected to grow at a CAGR of 32.2% during the forecast period.
The statistic indicates that the 3D gesture recognition technology market is expected to experience significant growth at a Compound Annual Growth Rate (CAGR) of 32.2% during the forecast period. This implies that the market size for 3D gesture recognition technology is forecasted to expand rapidly over the specified period. A high CAGR suggests a strong potential for market growth driven by factors such as increasing demand for advanced and intuitive human-machine interfaces, technological advancements in gesture recognition systems, and the adoption of 3D sensing technology in various applications including gaming, healthcare, automotive, and consumer electronics. This projected growth rate highlights the growing importance and market potential of 3D gesture recognition technology in the coming years.
Touchless biometric systems market is expected to grow from USD 6.0 billion in 2020 to USD 15.6 billion by 2025 with gesture recognition at the forefront.
The statistic refers to the projected growth of the touchless biometric systems market, where it is anticipated to increase from USD 6.0 billion in 2020 to USD 15.6 billion by the year 2025. This growth is driven primarily by the increasing adoption of gesture recognition technology within the industry, positioning it as a leading trend. Touchless biometric systems offer a more hygienic and convenient alternative to traditional contact-based biometric systems, making them particularly appealing in the context of health and safety concerns. The rapid expansion of this market underscores the importance of advanced biometric solutions in various sectors such as healthcare, banking, retail, and others.
Microsoft Corporation, Intel Corporation, and Google Inc. are the major industry players in the gesture recognition market.
The statistic “Microsoft Corporation, Intel Corporation, and Google Inc. are the major industry players in the gesture recognition market” indicates that these three companies have established a significant presence and influence within the sector of gesture recognition technology. This suggests that these companies likely have a strong market share, innovative products, and extensive resources dedicated to advancing gesture recognition technology. As major industry players, Microsoft, Intel, and Google are likely driving advancements in the field, shaping industry trends, and competing for market dominance in this growing market segment. Their involvement in the gesture recognition market signals that these companies are strategically positioned to capitalize on the potential growth and opportunities in the field of gesture recognition technology.
The gesture recognition in portable PCs was the nascent market segment, which grew at an initial CAGR of 76.4% during 2011.
The statistic indicates that gesture recognition technology in portable PCs was a newly emerging market segment in 2011, experiencing rapid growth with a compound annual growth rate (CAGR) of 76.4% during that year. This suggests a significant increase in the adoption and integration of gesture recognition capabilities in portable PCs within a relatively short period. The high CAGR signifies a strong upward trend in the market demand for gesture recognition technology, indicating the potential for continued growth and development in this sector. This statistic highlights the growing importance of gesture recognition as a feature in portable PCs and the potential for further advancements in this technology in the future.
The touch-based gesture recognition segment held the largest market share of over 62% in 2020.
The statistic “The touch-based gesture recognition segment held the largest market share of over 62% in 2020” indicates that within the gesture recognition technology market, the category focusing on touch-based gestures such as tapping, swiping, and pinching on touchscreen devices accounted for the highest proportion of market sales and adoption in the year 2020. This suggests that touch-based gestures were the most popular and widely used form of interaction with devices that employ gesture recognition technology during that period, highlighting the significance and dominance of touch-based interfaces in the market. Factors driving this preference may include the widespread use of smartphones, tablets, and other touchscreen devices, as well as the intuitive and user-friendly nature of touch-based interactions.
Ultra-compact devices are expected to hold the largest market share in the gesture recognition market by 2025.
The statistic states that by the year 2025, ultra-compact devices are projected to capture the majority market share in the gesture recognition market. This suggests that smaller, more portable gadgets such as smartphones, smartwatches, and other wearable technology will be increasingly equipped with gesture recognition features. As these devices continue to advance in technology and accessibility, they are likely to become more prevalent in daily use, leading to a higher demand for gesture recognition technology embedded within them. This could indicate a trend towards incorporating gesture-controlled interfaces in a wider range of consumer electronics, making them more intuitive and user-friendly.
The entertainment and gaming application segment is expected to hold the largest gesture recognition market value by 2025.
This statistic suggests that by the year 2025, the entertainment and gaming application segment is projected to have the highest market value within the gesture recognition industry. This indicates a predicted growth and dominance of gesture recognition technology in entertainment and gaming applications in the upcoming years. The increasing popularity of immersive gaming experiences, virtual reality, and augmented reality technologies likely contribute to this trend. Additionally, advancements in gesture recognition technology, combined with its integration in various entertainment and gaming applications, are expected to drive market value within this specific segment. Overall, this statistic underscores the potential for significant market growth and opportunities in gesture recognition technology within the entertainment and gaming industry in the future.
Gesture recognition for gaming boosts player’s interactivity by using technology like 3D imaging and infrared sensors, which will propel the market demand.
The statistic indicates that utilizing gesture recognition technology for gaming purposes enhances a player’s level of engagement and interaction through the incorporation of advanced technologies such as 3D imaging and infrared sensors. By enabling players to control and interact with games through physical movements and gestures rather than traditional controllers, this innovation is expected to significantly drive up the demand for such products in the market. Players are likely to be drawn to the immersive and intuitive gaming experience offered by these technologies, ultimately propelling the growth of the market for gesture recognition in gaming.
The market revenue of the gesture recognition software in the U.S. was around $7.7 million in 2018.
This statistic refers to the total market revenue generated by sales of gesture recognition software specifically within the United States in the year 2018, amounting to approximately $7.7 million. Gesture recognition software enables users to interact with electronic devices or systems through simple gestures or movements, often used in applications such as gaming, virtual reality, and user interfaces. The revenue figure reflects the value of all sales made within the U.S. market for this particular type of software during that year, indicating the level of demand and economic activity within this specific technology sector.
The cost of gesture recognition technology is a big barrier, as it ranges from $500 to $1,000 per module.
The statistic indicates that the cost of adopting gesture recognition technology can be a significant hindrance due to the range of prices for each module, typically falling between $500 and $1,000. This suggests that businesses or individuals looking to implement gesture recognition technology may face a considerable financial investment per module, which can add up rapidly depending on the scale of the project. The wide cost range implies that there may be varying levels of sophistication and capabilities offered by gesture recognition modules within this price range, with higher-priced modules likely offering more advanced features. Overall, the statistic underscores the financial implications and potential barriers associated with integrating gesture recognition technology into various applications.
References
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