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The global multimodal UI market size was valued at USD 19.5 billion in 2023 and is estimated to grow at a CAGR of 16.5% from 2024 to 2032. The rise of artificial intelligence (AI) and machine learning (ML) technologies has been a transformative force in the market. These advanced algorithms can analyze and process data from multiple modalities like voice, touch, gestures, and even facial recognition. AI models enable devices to interpret human behavior more accurately, facilitating smoother and more intuitive interactions.
For example, virtual assistants like Alexa and Siri use AI to understand natural language commands, improving responsiveness. As AI technologies evolve, multimodal UIs are becoming smarter, more adaptable, and more capable of handling complex tasks, making them highly desirable across various industries, including healthcare, automotive, and consumer electronics.
Report Attribute | Details |
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Base Year: | 2023 |
Multimodal UI Market Size in 2023: | USD 19.5 Billion |
Forecast Period: | 2024 – 2032 |
Forecast Period 2024 – 2032 CAGR: | 16.5% |
2024 – 2032 Value Projection: | USD 77 Billion |
Historical Data for: | 2021–2023 |
No. of Pages: | 210 |
Tables, Charts & Figures: | 360 |
Segments covered: | Component, Interaction, Platform, End-use Industry Vertical |
Growth Drivers: |
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Pitfalls & Challenges: |
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The widespread use of smart devices like smartphones, smartwatches, smart TVs, and wearables is driving the demand for more sophisticated interaction methods. Multimodal UIs cater to the growing consumer expectation of seamless and intuitive engagement with their devices. People increasingly expect to control their devices with a combination of voice commands, touchscreens, and gestures.
This demand is particularly notable in emerging markets where smartphone penetration is growing rapidly, creating opportunities for multimodal UI adoption. Moreover, the adoption of smart home ecosystems, where devices like thermostats, lights, and home security systems are interconnected, further boosts the need for multimodal interfaces that allow users to control multiple devices effortlessly.
For instance, in March 2023, Amazon and the Indian Institute of Technology–Bombay (IIT Bombay) announced a multiyear Amazon IIT–Bombay AI-ML Initiative. This collaboration will fund research projects, PhD fellowships, and community events to advance AI and ML within speech, language, and multimodal AI domains.