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市場調査レポート
商品コード
1397718
マルチモーダルAIの世界市場規模、シェア、産業動向分析レポート:オファリング別、タイプ別、技術別、データモダリティ別、業界別、地域別展望と予測、2023年~2030年Global 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 |
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マルチモーダルAIの世界市場規模、シェア、産業動向分析レポート:オファリング別、タイプ別、技術別、データモダリティ別、業界別、地域別展望と予測、2023年~2030年 |
出版日: 2023年12月15日
発行: KBV Research
ページ情報: 英文 469 Pages
納期: 即納可能
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マルチモーダルAI市場規模は2030年までに84億米ドルに達すると予測され、予測期間中にCAGR 32.3%の市場成長率で上昇する見込みです。
KBV Cardinalのマトリックスに掲載された分析によると、Microsoft CorporationとGoogle LLCが同市場の先駆者です。2023年11月、マイクロソフト・コーポレーションは、生成AIとトラディショナルAIの両機能に新機能を導入することで、Azure AI製品の範囲を拡大しました。開発者は、設定可能なツールとモデルを備えたAzure AI Studioを活用して、マイクロソフトの生成AIアシスタント「Copilot」を組み込んだものなど、革新的な生成AIアプリケーションを設計できます。Meta Platforms, Inc.やIBM Corporationなどの企業は、市場における主要なイノベーターです。
市場成長要因
マルチモーダル・エコシステム開発を加速する生成AI技術
生成AIは、テキストや画像、あるいは動画全体といった新しいコンテンツを生み出すことができる、AI界のクリエイティブ・パワーハウスのようなものです。複数のデータ形式を組み合わせたコンテンツを作成することもできます。例えば、画像の詳細な説明文を生成したり、テキストの説明文からリアルな画像を作成したり、コンテンツのニュアンスを理解した動画を作成することもできます。このようにデータ形式を組み合わせることで、生成AIとマルチモーダルAIは相乗効果を発揮します。生成AIが進歩すれば、マルチモーダルAIの創造的側面を強化するだけでなく、より洗練された統合システムへの道も開ける。さらに、マルチメディア・プレゼンテーションの作成を自動化し、よりインパクトのある有益なものにすることができます。こうした側面が、今後数年間の市場成長を後押しすると思われます。
カスタマイズされた業界別ソリューションへの需要の高まり
業界によって、ワークフロー、規制、運用要件は異なります。カスタマイズされたソリューションは、こうした特定のニーズに対応し、最適な機能性を確保するように設計されています。業界は多くの場合、特定の規制の枠組みの下で運営されています。カスタマイズ・ソリューションは、業界の規範や規制へのコンプライアンスを確保し、コンプライアンス違反のリスクを最小限に抑えるために開発することができます。カスタムソリューションは、既存のワークフローにシームレスに統合し、プロセスを自動化し、効率を高めるように調整することができます。これにより、生産性が向上し、運用コストが削減されます。顧客と直接やり取りをする業界では、顧客の嗜好に沿ったカスタマイズ・ソリューションの恩恵を受け、顧客満足度が向上します。このように、カスタマイズされた業界固有のソリューションに対する需要の高まりが、市場の成長を拡大させています。
市場抑制要因
マルチモーダルモデルにおけるバイアスのかかりやすさ
マルチモーダルAIモデルは、ユニモーダルモデルと同様、バイアスの影響を受けやすいです。テキスト、画像、動画などで構成されるトレーニングデータセットは、データソースに社会的または文化的なバイアスが不注意に反映されている可能性があります。こうしたバイアスは、画像認識における性別や人種のバイアス、自然言語処理タスクにおける言語的・文脈的バイアスなど、さまざまな形で現れる可能性があります。マルチモーダルAIモデルがこのようなデータで学習されると、必然的にこれらのバイアスを継承し、永続させることになり、予測や決定を行う際に不正確な結果や不公平な結果を招く可能性があります。また、倫理的なAI開発とこれらの技術の責任ある使用への継続的なコミットメントが必要であり、AIシステムが技術的に熟達し、倫理的・社会的価値観に沿ったものであることを保証する必要があります。したがって、上記の側面は、今後数年間の市場成長を妨げると思われます。
オファリングの展望
オファリングに基づいて、市場はソリューションとサービスに区分されます。2022年には、ソリューション・セグメンテーションが最大の収益シェアで市場を独占しました。スマートシティ構想にマルチモーダルAIを導入するためのソリューションには、交通管理、公共安全アプリケーション、各種センサーやカメラからのデータを利用した環境モニタリングなどが含まれます。ソリューションは、MRI、CTスキャン、X線などのモダリティを組み込んだ医療画像データを分析するように設計されています。これらのソリューションは、医療診断や治療計画を支援します。音声・音声データの処理・解析に特化したソリューション。これには、音声認識、音声の自然言語処理、音声バイオメトリクスなどが含まれます。
ソリューションの展望
ソリューションの種類によって、市場はさらにフレームワーク、プラットフォーム、ソフトウェアに分けられます。2022年には、プラットフォーム分野が最大の収益シェアで市場を独占しました。このようなプラットフォームは、開発者、データ科学者、企業が様々なAIモダリティ(テキスト、画像、音声など)を活用し、高度で相互接続されたAIシステムを構築できる統合環境を提供します。市場のプラットフォーム・ソリューションは、開発プロセスを簡素化し、コラボレーションを促進し、企業が多様なデータタイプのパワーを活用して、より高度でコンテキストを考慮したAIアプリケーションを実現することを目指しています。
タイプ別展望
タイプ別に見ると、市場は生成型、翻訳型、説明型、対話型に分類されます。翻訳型マルチモーダルAIセグメントは、2022年の市場で顕著な収益シェアを記録しました。この用語は、翻訳機能とマルチモーダルAIの統合を意味し、テキストを翻訳するだけでなく、複数のモダリティからの情報を理解し処理するシステムを示唆しています。テキスト、画像、音声の組み合わせを含むビデオ、プレゼンテーション、文書の翻訳。
技術展望
技術別に見ると、市場は機械学習、自然言語処理、コンピューター・ビジョン、コンテキスト認識、モノのインターネットに分類されます。2022年には、自然言語処理分野が市場で最も高い収益シェアを記録しました。自然言語処理(NLP)は、コンピュータと人間の言語との相互作用に焦点を当てたAIの分野です。コンピュータが人間のようなテキストを理解、解釈、生成できるようにするアルゴリズムやモデルの開発が含まれます。NLPは、言語翻訳のような単純なタスクから、感情分析やテキスト要約のような複雑なものまで、多くのタスクとアプリケーションを包含します。
データモダリティの展望
データモダリティに基づき、市場はテキストデータ、音声・音声データ、画像データ、ビデオデータ、オーディオデータに細分化されます。2022年の市場では、動画データ・セグメントが顕著な収益シェアを記録しました。動画は個々のフレームで構成され、それぞれが静止画像を表しています。フレームの急速な連続は、動きの錯覚を生み出します。ビデオデータのモダリティは、ビデオコンテンツ分析、監視、エンターテインメント、教育、ヘルスケアなど、さまざまなアプリケーションに不可欠です。技術の進歩に伴い、AIシステムにおけるビデオ解析能力はさらに向上し、ダイナミックなシーンや人間の活動をより高度に理解できるようになると期待されています。
業界別展望
業界別では、BFSI、小売・eコマース、通信、政府・公共機関、ヘルスケア・ライフサイエンス、製造、自動車、運輸・物流、メディア・エンターテインメント、その他に分類されます。小売&eコマース部門は、2022年の市場でかなりの収益シェアを獲得しました。AIを活用したバーチャル試着ソリューションにより、顧客は拡張現実(AR)を使って、衣料品やアクセサリー、家具などの商品が自分に、あるいは自分の家でどのように見えるかを視覚化することができます。このソリューションは、閲覧履歴、購入パターン、さまざまなメディアとのインタラクションなど、顧客の行動を分析します。この情報は、パーソナライズされた商品レコメンデーションを提供するために使用されます。クロスセルやアップセルの機会を増やし、顧客満足度を向上させ、転換率を高める。
地域別展望
地域別に見ると、市場は北米、欧州、アジア太平洋、LAMEAで分析されます。2022年には、北米地域が市場で最も高い収益シェアを占めていました。北米の市場は、米国とカナダの技術革新と技術力によって形成された世界の大国です。特にシリコンバレーを中心とするこの地域のイノベーションへの注力は、マルチモーダルAIの進歩を助長する環境を育んでいます。北米の企業は、マルチモーダルAIソリューションの開発と実装の最前線にあり、技術的進歩を推進し、ユーザーエンゲージメントと問題解決を強化するために人工知能の限界を押し広げるというこの地域のコミットメントを反映しています。
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