市场调查报告书
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1397718
多模式人工智慧全球市场规模、占有率、行业趋势分析报告:按产品、按类型、按技术、按资料模式、按行业、按地区、展望和预测,2023-2030Global Multimodal Al Market Size, Share & Industry Trends Analysis Report By Offering, By Type (Generative, Translative, Interactive, and Explanatory), By Technology, By Data Modality, By Vertical, By Regional Outlook and Forecast, 2023 - 2030 |
预计到 2030 年,多模式人工智慧市场规模将达到 84 亿美元,并预计在预测期内将以 32.3% 的复合年增长率成长。
根据KBV Cardinal矩阵中发布的分析,微软公司和Google有限责任公司是该市场的先驱。 2023 年 11 月,微软公司透过在生成式 AI 和传统 AI 功能中引进新功能,扩大了 Azure AI 产品的范围。借助可配置的工具和模型,开发人员可以利用 Azure AI Studio 设计创新的生成式 AI 应用程序,包括那些包含 Microsoft 生成式 AI 助理 Copilot 的应用程式。 Meta Platforms, Inc. 和 IBM Corporation 等公司是市场上的主要创新者。
市场成长要素
加速多模式生态系发展的生成式人工智慧技术
生成式人工智慧就像是人工智慧世界的创新动力来源,能够产生文字、图像甚至整个影片等新内容。您也可以建立结合多种资料格式的内容。例如,您可以产生图像的详细描述,根据文字描述创建逼真的图像,甚至创建能够理解内容细微差别的影片。透过以这种方式组合资料格式,生成式人工智慧和多模态人工智慧可以产生协同效应。生成式人工智慧的进步不仅增强了多方面人工智慧的创造性,也为更复杂的整合系统铺平了道路。此外,您可以自动建立多媒体简报,使其更具影响力和资讯量。这些方面可能会推动未来几年的市场成长。
对客製化产业解决方案的需求不断增长
不同的行业有不同的工作流程、法规和操作要求。客製化解决方案旨在满足这些特定需求并确保最佳功能。产业通常在特定的法律规范下运作。可以开发客製化的解决方案,以确保符合行业规范和法规,并最大限度地降低违规风险。自订解决方案可以无缝整合到现有工作流程、自动化流程并提高效率。这提高了生产力并降低了营运成本。与客户直接互动的行业受益于符合客户偏好并提高客户满意度的客製化解决方案。因此,对客製化和特定产业解决方案不断增长的需求正在促进市场成长。
市场抑制因素
多模式模型中容易出现偏差
多模态人工智慧模型与单模态模型一样,容易受到偏差的影响。由文字、图像、影片等组成的训练资料可能会无意中反映资料来源中的社会或文化偏见。这些偏见可以透过多种方式表现出来,包括影像识别中的性别和种族偏见,以及自然语言处理任务中的语言和上下文偏见。当多模态人工智慧模型接受此类资料的训练时,它们将不可避免地继承并延续这些偏见,这可能导致在做出预测和决策时出现不准确或不公平的结果。它还需要持续致力于道德人工智慧开发和负责任地使用这些技术,确保人工智慧系统技术熟练并符合道德和社会价值观。因此,上述方面可能会阻碍未来几年的市场成长。
发售展望
根据产品提供,市场分为解决方案和服务。 2022年,解决方案细分以最大的收益占有率主导市场。在智慧城市计画中实施多模式人工智慧的解决方案包括交通管理、公共应用以及使用来自各种感测器和摄影机的资料进行环境监测。此解决方案旨在分析结合 MRI、 电脑断层扫描和 X 光等模式的医学影像资料。这些解决方案有助于医疗诊断和治疗计划。专门处理和分析音讯和音讯资料的解决方案。这包括语音辨识、语音自然语言处理、语音生物辨识等。
解决方案展望
根据解决方案类型,市场进一步分为框架、平台和软体。 2022年,平台细分市场以最大的收益占有率主导市场。这类平台提供了一个整合环境,开发人员、资料科学家和企业可以利用各种人工智慧模式(文字、图像、音讯等)来建立先进的互连人工智慧系统。市场上的平台解决方案旨在简化开发过程,促进协作,并使企业能够利用不同资料类型的力量来实现更先进和上下文感知的人工智慧应用程式。
按类型分類的展望
依类型划分,市场分为生成型、翻译型、诠释型、互动式。 2022 年,转换型多模式人工智慧领域在市场中占据了显着的收益占有率。这个术语指的是翻译能力和多模态人工智慧的集成,表明系统不仅可以翻译文本,还可以理解和处理来自多种模态的资讯。翻译包含文字、图像和音讯组合的影片、简报和文件。
技术展望
依技术划分,市场分为机器学习、自然语言处理、电脑视觉、情境辨识和物联网。 2022年,自然语言处理领域的市场收益占有率最高。自然语言处理(NLP)是人工智慧的一个领域,专注于电脑和人类语言之间的互动。它涉及开发演算法和模型,使电脑能够理解、解释和生成类似人类的文本。 NLP 涵盖许多任务和应用,从语言翻译等简单任务到情绪分析和文字摘要等复杂任务。
资料形态展望
根据资料形态,市场分为文字资料、语音/音讯资料、图像资料、视讯资料和音讯资料。在2022年的市场中,影片资料细分市场将录得可观的收益占有率。影片由单独的帧组成,每个帧代表一个静态影像。快速连续的帧会产生运动的错觉。视讯资料模式对于各种应用至关重要,包括视讯内容分析、监控、娱乐、教育和医疗保健。随着技术的进步,人工智慧系统的视讯分析能力有望进一步提高,从而能够更深入地理解动态场景和人类活动。
产业展望
按行业划分,BFSI、零售/电子商务、通讯、政府/公共机构、医疗保健/生命科学、製造、汽车、交通/物流、媒体/娱乐等。 2022 年,零售和电子商务部门在市场中占据了重要的收益占有率。人工智慧驱动的虚拟试穿解决方案允许客户使用扩增实境(AR) 来视觉化服饰、配件和家具等产品在他们身上或在家里的样子。Masu。此解决方案分析客户行为,包括浏览历史记录、购买模式以及与各种媒体的互动。此资讯用于提供个人化的产品建议。增加交叉销售和提升销售机会,提高顾客满意度并提高转换率。
区域展望
从区域来看,我们对北美、欧洲、亚太地区和拉丁美洲地区的市场进行了分析。 2022年,北美地区占据市场收益占有率最高。北美市场是由美国和加拿大的创新和技术力所塑造的世界强国。该地区(尤其是硅谷)对创新的关注正在创造一个有利于多模式人工智慧进步的环境。北美公司处于开发和实施多模式人工智慧解决方案的前沿,反映出该地区致力于突破人工智慧的界限,以推动技术进步、增强用户参与度和解决问题的能力。
The Global Multimodal Al 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.
Based on the Analysis presented in the KBV 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.
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.
Recent Strategies Deployed in Multimodal AI 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.
Merger & Acquisitions:
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.
Market Segments covered in the Report:
By Offering
By Type
By Technology
By Data Modality
By Vertical
By Geography
Companies Profiled
Unique Offerings from KBV Research