The Global Multimodal AI Market size is expected to reach $8.4 billion by 2030, rising at a market growth of 32.3% CAGR during the forecast period.
Multimodal AI assists content creators in generating and editing media content by analyzing various modalities, including text, images, and audio. Therefore, the media & entertainment segment acquired $84.2 million in 2022. It assists content creators in generating and editing media content by analyzing various modalities, including text, images, and audio. It automatically analyzes audio, video, and image content to generate descriptive tags and metadata. This facilitates content organization, search, and recommendation systems. It interprets spoken language and voice inputs, enabling applications like voice-controlled interfaces, voice search, and voice-activated assistants. It improves the viewing experience, enables instant replay, and enhances sports analytics.
The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In, December, 2023, Amazon Web Services, Inc. a company of Amazon, Inc. has launched Amazon Q. With 17 years of AWS experience under its belt, Amazon Q is well-equipped to help consumers navigate the AWS administration panel and other AWS features. Additionally, In, November, 2023, Microsoft corporation has unveiled new AI-powered copilots for AI assistant to transform your way of work. Copilot is going to provide assistance in the context and intelligence of the web, with your privacy and security at priority.
Cardinal Matrix - Market Competition Analysis
Based on the Analysis presented in the Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the Market. In, November, 2023, Microsoft Corporation has expanded its range of Azure AI products by introducing new features in both generative and traditional AI capabilities. Developers can leverage Azure AI Studio, equipped with configurable tooling and models, to design innovative generative AI applications, including those incorporating Microsoft's Copilot generative AI assistant. Companies such as Meta Platforms, Inc., IBM Corporation are some of the key innovators in Market.
Market Growth Factors
Generative AI techniques to accelerate multimodal ecosystem development
Generative AI is like the creative powerhouse of the AI world, capable of producing new content such as text, images, or even entire videos. It can create content that combines multiple data formats. For instance, it can generate detailed written descriptions for images, create realistic images from textual descriptions, or even produce videos with a nuanced understanding of the content. This blending of data formats is where Generative AI and multimodal AI synergize. As Generative AI advances, it not only enhances the creative aspects of multimodal AI but also paves the way for more sophisticated, integrated systems. Moreover, it can automate the creation of multimedia presentations, making them more impactful and informative. These aspects will boost market growth in the coming years.
Rising demand for customized and industry-specific solutions
Different industries have distinct workflows, regulations, and operational requirements. Customized solutions are designed to accommodate these specific needs, ensuring optimal functionality. Industries often operate under specific regulatory frameworks. Customized solutions can be developed to ensure compliance with industry norms and regulations, minimizing the risk of non-compliance. Custom solutions can be tailored to integrate seamlessly into existing workflows, automate processes, and enhance efficiency. This leads to increased productivity and reduces operational costs. The industries with direct customer interactions benefit from customized solutions that align with customer preferences, improving customer satisfaction. Thus, the rising demand for customized and industry-specific solutions expands the market growth.
Market Restraining Factors
Susceptibility to bias in multimodal models
Multimodal AI models, like their unimodal counterparts, are vulnerable to bias, which often originates from the data they are trained on. Training datasets, comprising text, images, videos, and more, may inadvertently reflect societal or cultural biases in the data sources. These biases can manifest in numerous ways, such as gender or racial bias in image recognition or linguistic and contextual bias in natural language processing tasks. When multimodal AI models are trained on such data, they inevitably inherit and perpetuate these biases, which can lead to inaccurate or unfair outcomes when making predictions or decisions. It also necessitates an ongoing commitment to ethical AI development and the responsible use of these technologies, ensuring that AI systems are technically proficient and aligned with ethical and societal values. Hence, the above aspects will hamper market growth in the coming years.
The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Product Launches and Product Expansions.
Offering Outlook
On the basis of offering, the market is segmented into solution and services. In 2022, the solution segment dominated the market with the maximum revenue share. Solutions for implementing multimodal AI in smart city initiatives include traffic management, public safety applications, and environmental monitoring using data from various sensors and cameras. Solutions are designed to analyze medical imaging data, incorporating modalities such as MRI, CT scans, and X-rays. These solutions assist in medical diagnosis and treatment planning. Solutions specifically designed for processing and analyzing speech and audio data. This includes speech recognition, natural language processing for audio, and voice biometrics.
Solution Outlook
Under solutions type, the market is further divided into framework, platform, and software. In 2022, the platform segment dominated the market with the maximum revenue share. Such platforms provide a unified environment where developers, data scientists, and businesses can leverage various AI modalities (text, image, speech, etc.) to create sophisticated and interconnected AI systems. Platform solutions in the market aim to simplify the development process, promote collaboration, and enable businesses to harness the power of diverse data types for more advanced and context-aware AI applications.
Type Outlook
On the basis of type, the market is classified into generative, translative, explanatory, and interactive. The translative multimodal AI segment recorded a remarkable revenue share in the market in 2022. This term could imply the integration of translation capabilities with multimodal AI, suggesting a system that not only translates text but also understands and processes information from multiple modalities. Translating videos, presentations, or documents that contain a combination of text, images, and audio.
Technology Outlook
By technology, the market is categorized into machine learning, natural language processing, computer vision, context awareness, and internet of things. In 2022, the natural language processing segment registered the highest revenue share in the market. Natural Language Processing (NLP) is a field of AI focusing on the interaction between computers and human language. It involves the development of algorithms and models that enable computers to understand, interpret, and generate human-like text. NLP encompasses many tasks and applications, from simple tasks like language translation to more complex ones like sentiment analysis and text summarization.
Data Modality Outlook
Based on data modality, the market is fragmented into text data, speech & voice data, image data, video data, and audio data. The video data segment recorded a remarkable revenue share in the market in 2022. Videos are composed of individual frames, each representing a still image. The rapid succession of frames creates the illusion of motion. Video data modality is integral to various applications, including video content analysis, surveillance, entertainment, education, and healthcare. As technology advances, video analysis capabilities in AI systems are expected to improve further, enabling a more sophisticated understanding of dynamic scenes and human activities.
Vertical Outlook
Based on vertical, the market is divided into BFSI, retail & eCommerce, telecommunications, government & public sector, healthcare & life sciences, manufacturing, automotive, transportation & logistics, media & entertainment, and others. The retail & eCommerce segment acquired a substantial revenue share in the market in 2022. AI-powered virtual try-on solutions enable customers to visualize how products like clothing, accessories, or even furniture will look on them or in their homes using augmented reality (AR). It analyzes customer behavior, including browsing history, purchase patterns, and interactions with different media types. This information is then used to provide personalized product recommendations. Increases cross-selling and upselling opportunities, improves customer satisfaction, and enhances conversion rates.
Regional Outlook
Region-wise, the market is analysed across North America, Europe, Asia Pacific, and LAMEA. In 2022, the North America region held the highest revenue share in the market. The market in North America stands as a global powerhouse, shaped by the innovation and technological ability of the US and Canada. The region's focus on innovation, particularly in Silicon Valley, fosters a conducive environment for multimodal AI advancements. North American companies are at the forefront of developing and implementing multimodal AI solutions, reflecting the region's commitment to driving technological advancements and pushing the boundaries of artificial intelligence for enhanced user engagement and problem-solving.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Google LLC (Alphabet, Inc.), Microsoft Corporation, OpenAI, L.L.C., Meta Platforms, Inc. (Meta), Amazon Web Services, Inc. (Amazon.com, Inc.), IBM Corporation, Twelve Labs Inc., Aimesoft Inc., Jina AI GmbH, and Uniphore Technologies Inc.
Strategies deployed in the Market
Partnerships, Collaborations & Agreements:
- Nov-2023: IBM Corporation and NASA have joined forces to create a collaborative partnership. The focus of this collaboration is the development of a geospatial artificial intelligence (AI) model dedicated to climate and weather observation. Anticipated benefits of this collaboration include enhanced accessibility, improved accuracy, faster processing times, and a more diverse range of data when compared to existing AI models such as GraphCast and Fourcastnet. The aim is to elevate the capabilities of weather forecasting through the integration of advanced AI technology.
- Apr-2023: Google cloud a division of Google LLC. formed a collaboration with Care AI Inc., an AI driven Smart Care Facility Platform in healthcare. Under this collaboration, the companies are intended to make it easier for users to access Care AI's Virtual Nursing Solution on Google Cloud Marketplace and revolutionize the healthcare industry.
- Mar-2023: Amazon Web Services Inc., a subsidiary of Amazon.com, Inc., has partnered with NVIDIA Corporation, a technology company specializing in graphics processors and mobile technologies. In this collaborative effort, NVIDIA aims to create the world's most scalable AI infrastructure tailored for training complex large language models (LLMs). The collaboration involves the development of Amazon Elastic Compute Cloud (Amazon EC2) P5 instances, which are equipped with NVIDIA H100 Tensor Core GPUs and leverage AWS's advanced networking and scalability features. This collaboration is set to deliver an impressive computing power of up to 20 exaFLOPS, facilitating the construction and training of the most extensive deep learning models.
- Feb-2023: Uniphore Technologies Inc. has successfully finalized the purchase of Hexagone AB, a prominent player in digital reality solutions that integrates sensor, software, and autonomous technologies to leverage data effectively. This strategic acquisition empowers Uniphore to incorporate significant improvements in behavioural science into its acclaimed X Platform. The integration ensures that customer interactions and inquiries are addressed with heightened accuracy and empathy.
- Feb-2023: Uniphore Technologies Inc. has successfully acquired Red Box, a leading open corporate platform specializing in the recording of audio, video, and metadata from conversations. This strategic move allows Uniphore to integrate Red Box's established expertise in capturing and securing real-time and post-call voice and screen interactions into its portfolio. This enhancement will further strengthen the capabilities of the Uniphore X platform, a trusted solution for global enterprises seeking to derive value from every conversation.
- Apr-2022: Uniphore Technologies Inc. has acquired Colabo, a software company known for its AI-powered knowledge automation solution, which focuses on extracting information from both structured and unstructured documents in real time. By integrating Colabo's solution into Uniphore's conversational automation platform, enterprises can now use AI to extract knowledge entities and graphs from various data types, ensuring more relevant content and improved customer interactions for IVAs and live agents.
Product Launches and Product Expansion:
- Dec-2023: Amazon Web Services, Inc a Company of Amazon, Inc. has launched Amazon Q, a generative AI assistant. Based on inquiries from customers in real time, Amazon Q gives customer support representatives suggested answers and actions. With 17 years of AWS experience under its belt, Amazon Q is well-equipped to help consumers navigate the AWS administration panel and other AWS features.
- Nov-2023: Microsoft corporation has unveiled new AI-powered copilots for their most used products like GitHub, Microsoft 365, Bing and Edge. Microsoft 365 Copilot will be available with AI assistant to transform your way of work. Copilot is going to provide assistance in the context and intelligence of the web, with your privacy and security at priority.
- Nov-2023: Microsoft Corporation has expanded its range of Azure AI products by introducing new features in both generative and traditional AI capabilities. Developers can leverage Azure AI Studio, equipped with configurable tooling and models, to design innovative generative AI applications, including those incorporating Microsoft's Copilot generative AI assistant.
- Aug-2023: IBM Corporation unveiled a new generative AI-assisted product called Watsonx Code Assistant for Z, which help in enable faster translation of COBOL to Java on IBM Z. through this product launch IBM aims to accelerate code development and increasing developer productivity, throughout the application modernization lifecycle.
- Aug-2023: Meta Platform Inc. introduces SeamlessM4T, a cutting-edge AI translation model that excels in both multimodal and multilingual capabilities. The company has unveiled this groundbreaking product through a research license, enabling researchers and developers to leverage the platform and facilitate seamless communication through text and speech across different languages. SeamlessM4T boasts Speech-to-text translation functionality for nearly 100 input and output languages, along with Speech-to-speech translation support for 100 input and 30 output languages.
- May-2023: Google LLC has introduced PaLM2, an advanced language model designed for diverse applications. PaLM2 serves as a versatile AI model capable of generating chatbots akin to ChatGPT, coding in multiple languages, language translation, and photo analysis with corresponding reactions. Users can employ PaLM2 to search for restaurants in Bulgaria in English, wherein the system will seek Bulgarian responses on the web, retrieve an answer, translate it into English, attach a location photo, and present the result to the user in English.
- Apr-2023: Microsoft Corporation has launched JARVIS, a multimodal AI-powered platform. JARVIS is developed in such a way that it can collaborate and connect with multiple AI models, like ChatGPT and t5-base. Users can take demo of JARVIS on AI platform Huggingface. JARVIS adds multiple open-source LLMs for photos, videos, audio, and more, extending OpenAI's GPT-4 multimodal capabilities, as shown through text and image processing.
- Mar-2023: OpenAI, LLC has launched a new GPT-4 language model for ChatGPT as part of extending its capabilities. As GPT-4 is working on multimodal AI now it can accept both text and image as input and gives output as text to user. With GPT-4's image processing capability now it can also help you generate a packing list for upcoming trip, with the help of photo of your closet.
- Jun-2022: Aimesoft launched AimeFluent, a chatbot development library for the game engine Unity. AimeFluent gives non-player characters (NPCs) the ability to respond to user input text automatically. AimeFluent is an NLP based platform that works on rule-based, scenario-based, or information-retreival-based methods to understand and reply to user inputs.
- Sep-2021: Aimesoft has unveiled AimeTalk, an AI automated slide presentation software tool. AimeTalk has the ability to read speaker's notes with the help of Text-to-Speech technology and creating a face animated video for presentation with the help of advance image processing and computer vision technology. AimeTalk can automatically give error free presentation by using Artificial Intelligence and Robotic Process Automation, thus saving lot of time.
- June-2021: Aimesoft has launched AimeLytics, an AI based analytics platform. AimeLytics can be utilized for voice analytics (emotion identification from speech, speech summarization, etc.), text mining (document classification, sentiment analysis), and predictive analytics (revenue forecast, KPI prediction, stock prediction, etc.). Aimelytics can also be used for high precision combination of text, speech, image, and numerical data into one AI model.
Mergers & Acquisition:
- Feb-2023: Uniphore Technologies Inc. has successfully finalized the purchase of Hexagone AB, a prominent player in digital reality solutions that integrates sensor, software, and autonomous technologies to leverage data effectively. This strategic acquisition empowers Uniphore to incorporate significant improvements in behavioural science into its acclaimed X Platform. The integration ensures that customer interactions and inquiries are addressed with heightened accuracy and empathy.
- Feb-2023: Uniphore Technologies Inc. has successfully acquired Red Box, a leading open corporate platform specializing in the recording of audio, video, and metadata from conversations. This strategic move allows Uniphore to integrate Red Box's established expertise in capturing and securing real-time and post-call voice and screen interactions into its portfolio. This enhancement will further strengthen the capabilities of the Uniphore X platform, a trusted solution for global enterprises seeking to derive value from every conversation.
- Apr-2022: Uniphore Technologies Inc. has acquired Colabo, a software company known for its AI-powered knowledge automation solution, which focuses on extracting information from both structured and unstructured documents in real time. By integrating Colabo's solution into Uniphore's conversational automation platform, enterprises can now use AI to extract knowledge entities and graphs from various data types, ensuring more relevant content and improved customer interactions for IVAs and live agents.
Geographical Expansions:
- Jun-2020: Aimesoft has announced the expansion of its global footprints with opening of Aimesoft Japan. Under this expansion, the company want to increase its business in Japan and reach-out broad spectrum of customers.
Scope of the Study
Market Segments Covered in the Report:
By Offering
- Solution
- Solution Deployment Type
- Cloud
- On-premise
- Solution Type
- Platform
- Software
- Framework
- Services
By Type
- Generative
- Translative
- Interactive
- Explanatory
By Technology
- Natural Language Processing
- Machine Learning
- Computer Vision
- Context Awareness
- Internet of Things
By Data Modality
- Image Data
- Video Data
- Text Data
- Speech & Voice Data
- Audio Data
By Vertical
- BFSI
- Government & Public Sector
- Automotive, Transportation & Logistics
- Healthcare & Lifesciences
- Media & Entertainment
- Manufacturing
- Retail & eCommerce
- Telecommunications
- Others
By Geography
- North America
- US
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
- LAMEA
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Key Market Players
List of Companies Profiled in the Report:
- Google LLC (Alphabet, Inc.)
- Microsoft Corporation
- OpenAI, L.L.C.
- Meta Platforms, Inc. (Meta)
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- IBM Corporation
- Twelve Labs Inc.
- Aimesoft Inc.
- Jina AI GmbH
- Uniphore Technologies Inc.
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Companies Mentioned
- Google LLC (Alphabet, Inc.)
- Microsoft Corporation
- OpenAI, L.L.C.
- Meta Platforms, Inc. (Meta)
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- IBM Corporation
- Twelve Labs Inc.
- Aimesoft Inc.
- Jina AI GmbH
- Uniphore Technologies Inc.
Methodology
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