市場調查報告書
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1397718
多模式人工智慧全球市場規模、佔有率、行業趨勢分析報告:按產品、按類型、按技術、按資料模式、按行業、按地區、展望和預測,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 |
預計到 2030 年,多模式人工智慧市場規模將達到 84 億美元,並預計在預測期內將以 32.3% 的年複合成長率成長。
根據KBV Cardinal矩陣中發布的分析,微軟公司和Google有限責任公司是該市場的先驅。 2023 年 11 月,微軟公司透過在生成式 AI 和傳統 AI 功能中引進新功能,擴大了 Azure AI 產品的範圍。借助可配置的工具和模型,開發人員可以利用 Azure AI Studio 設計創新的生成式 AI 應用程式,包括那些包含 Microsoft 生成式 AI 助理 Copilot 的應用程式。 Meta Platforms, Inc. 和 IBM Corporation 等公司是市場上的主要創新者。
市場成長要素
加速多模式生態系發展的生成式人工智慧技術
生成式人工智慧就像是人工智慧世界的創新動力來源,能夠產生文字、圖像甚至整個影片等新內容。您也可以建立結合多種資料格式的內容。例如,您可以產生圖像的詳細描述,根據文字描述創建逼真的圖像,甚至創建能夠理解內容細微差別的影片。透過以這種方式組合資料格式,生成式人工智慧和多模態人工智慧可以產生協同效應。生成式人工智慧的進步不僅增強了多方面人工智慧的創造性,也為更複雜的整合系統鋪平了道路。此外,您可以自動建立多媒體簡報,使其更具影響力和資訊量。這些方面可能會推動未來幾年的市場成長。
對客製化產業解決方案的需求不斷成長
不同的行業有不同的工作流程、法規和操作要求。客製化解決方案旨在滿足這些特定需求並確保最佳功能。產業通常在特定的法律規範下運作。可以開發客製化的解決方案,以確保符合行業規範和法規,並最大限度地降低違規風險。自訂解決方案可以無縫整合到現有工作流程、自動化流程並提高效率。這提高了生產力並降低了營運成本。與客戶直接互動的行業受益於符合客戶偏好並提高客戶滿意度的客製化解決方案。因此,對客製化和特定產業解決方案不斷成長的需求正在促進市場成長。
市場抑制因素
多模式模型中容易出現偏差
多模態人工智慧模型與單模態模型一樣,容易受到偏差的影響。由文字、圖像、影片等組成的訓練資料可能會無意中反映資料來源中的社會或文化偏見。這些偏見可以透過多種方式表現出來,包括影像識別中的性別和種族偏見,以及自然語言處理任務中的語言和上下文偏見。當多模態人工智慧模型接受此類資料的訓練時,它們將不可避免地繼承並延續這些偏見,這可能導致在做出預測和決策時出現不準確或不公平的結果。它還需要持續致力於道德人工智慧開發和負責任地使用這些技術,確保人工智慧系統技術熟練並符合道德和社會價值觀。因此,上述方面可能會阻礙未來幾年的市場成長。
發售展望
根據產品提供,市場分為解決方案和服務。 2022年,解決方案細分以最大的收益佔有率主導市場。在智慧城市計畫中實施多模式人工智慧的解決方案包括交通管理、公共應用以及使用來自各種感測器和攝影機的資料進行環境監測。此解決方案旨在分析結合 MRI、 電腦斷層掃描和 X 光等模式的醫學影像資料。這些解決方案有助於醫療診斷和治療計劃。專門處理和分析音訊和音訊資料的解決方案。這包括語音辨識、語音自然語言處理、語音生物辨識等。
解決方案展望
根據解決方案類型,市場進一步分為框架、平台和軟體。 2022年,平台細分市場以最大的收益佔有率主導市場。這類平台提供了一個整合環境,開發人員、資料科學家和企業可以利用各種人工智慧模式(文字、圖像、音訊等)來建立先進的互連人工智慧系統。市場上的平台解決方案旨在簡化開發過程,促進協作,並使企業能夠利用不同資料類型的力量來實現更先進和上下文感知的人工智慧應用程式。
按類型分類的展望
依類型分類,市場分為生成型、翻譯型、詮釋型、互動式。 2022 年,轉換型多模式人工智慧領域在市場中佔據了顯著的收益佔有率。這個術語指的是翻譯能力和多模態人工智慧的整合,表明系統不僅可以翻譯文本,還可以理解和處理來自多種模態的資訊。翻譯包含文字、圖像和音訊組合的影片、簡報和文件。
技術展望
依技術分類,市場分為機器學習、自然語言處理、電腦視覺、情境辨識和物聯網。 2022年,自然語言處理領域的市場收益佔有率最高。自然語言處理(NLP)是人工智慧的一個領域,專注於電腦和人類語言之間的互動。它涉及開發演算法和模型,使電腦能夠理解、解釋和生成類似人類的文本。 NLP 涵蓋許多任務和應用,從語言翻譯等簡單任務到情緒分析和文字摘要等複雜任務。
資料形態展望
根據資料形態,市場分為文字資料、語音/音訊資料、圖像資料、視訊資料和音訊資料。在2022年的市場中,影片資料細分市場將錄得可觀的收益佔有率。影片由單獨的幀組成,每個幀代表一個靜態影像。快速連續的幀會產生運動的錯覺。視訊資料模式對於各種應用至關重要,包括視訊內容分析、監控、娛樂、教育和醫療保健。隨著技術的進步,人工智慧系統的視訊分析能力有望進一步提高,從而能夠更深入地理解動態場景和人類活動。
產業展望
按行業分類,BFSI、零售/電子商務、通訊、政府/公共機構、醫療保健/生命科學、製造、汽車、交通/物流、媒體/娛樂等。 2022 年,零售和電子商務部門在市場中佔據了重要的收益佔有率。人工智慧驅動的虛擬試穿解決方案允許客戶使用擴增實境(AR) 來視覺化服飾、配件和家具等產品在他們身上或在家裡的樣子。Masu。此解決方案分析客戶行為,包括瀏覽歷史記錄、購買模式以及與各種媒體的互動。此資訊用於提供個人化的產品建議。增加交叉銷售和提升銷售機會,提高顧客滿意度並提高轉換率。
區域展望
從區域來看,我們對北美、歐洲、亞太地區和拉丁美洲地區的市場進行了分析。 2022年,北美地區佔據市場收益佔有率最高。北美市場是由美國和加拿大的創新和技術力所塑造的世界強國。該地區(尤其是矽谷)對創新的關注正在創造一個有利於多模式人工智慧進步的環境。北美公司處於開發和實施多模式人工智慧解決方案的前沿,反映出該地區致力於突破人工智慧的界限,以推動技術進步、增強用戶參與度和解決問題的能力。
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