Global Multimodal UI Market to Hit USD 75.54 BN by 2032, with 17.6% CAGR from 2023 to 2032
Research Reports
Nov 09, 2023
Multimodal UI Market Overview:
The global multimodal UI market will likely garner significant traction in future years. The growing adoption of smartphones and smart home devices would drive market growth. Market Research Future (MRFR) states that the global multimodal UI market valuation is poised to escalate from USD 16.81 BN in 2022 to USD 75.54 BN by 2032, growing at a 17.6% CAGR throughout the assessment period (2023-2032).
A multimodal UI enables users to send vocal commands to a virtual assistant while navigating and receiving visual feedback via touch gestures on a screen. It creates a more intuitive and inclusive user experience, accommodating different user contexts, abilities, and preferences and ultimately improving usability and accessibility across various devices.
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Major Players
Leading multimodal UI market players are,
- Amazon
- Apple
- Leap Motion
- Microsoft
- IBM
- Appen
- Jina AI
- OpenAI
- Siemens
Multimodal user interfaces are used in various smart devices, from smartphones and smart home devices to augmented & virtual reality devices and healthcare equipment. Rapid hardware advances and software evolution highlight a pressing need for superior user interfaces.
Multimodal user interface solutions frequently rely on data transfer & processing and mobile device compatibility. Moreover, customers increasingly prefer simple and user-friendly interfaces. Multimodal user interfaces, with their intuitive interaction modes such as voice recognition and touch, suit well to these preferences.
The versatility of multimodal UI extends across multiple industries, from healthcare and automobiles to entertainment and smart home gadgets. Therefore, many enterprises apply this technology across industries, expanding their market reach. The rapid adoption of these systems in communication and control applications is a major driving force.
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Global Multimodal UI Market – Segments
The market report is segmented into components, technologies, end-user verticals, and regions. The component segment comprises hardware, software, and services. The technology segment comprises voice recognition, text input, gesture recognition, visual, others, and others. The end-user vertical segment comprises automotive, healthcare, entertainment, it & telecommunication, retail, and others. The region segment comprises the Americas, Asia-Pacific, MEA, Europe, and the rest of the world.
Global Multimodal UI Market – Regional Analysis
North America holds the largest multimodal UI market share globally. The region has strong technology infrastructures, high-speed internet access, and extensive smartphone use, which drives the multimodal UI market demand. Also, the growing preference for smart speakers, cellphones, and in-car infotainment systems has enabled multimodal UI to garner great acceptability in North America. The favorable regulatory environment in the region for technology innovation, particularly multimodal UI, boosts the market size.
Global Multimodal UI Market – Competitive Landscape
The multimodal UI market appears extremely fragmented, considering the presence of established manufacturers. Eminent players seek opportunities to integrate across the extensive value chain while focusing on expanding production capacities, R&D investments, and M&A activities to gain additional impetus. They strive to deliver reliable, leading-edge multimodal UI technologies for various applications, substantially investing in developing adept technologies and products.
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Industry/Innovation/Related News:
Aug. 23, 2023 — Kombai, a startup in India, announced raising $4.5 MN in a seed funding round led by Stellaris Venture Partners and Foundation Capital. Front-end developers often find the swift coding of these unique designs challenging. Therefore, this emerging startup is keen to develop distinguishing user interfaces using its AI model to address this issue scheduled for public research release. Kombai will use the funding to help front-end developers easily convert UI designs to code using AI.
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