マルチモーダルアル市場：オファリング別（ソリューション＆サービス）、データモダリティ別（画像、音声）、テクノロジー別（ML、NLP、コンピュータビジョン、コンテキスト認識、IoT）、タイプ別（生成、翻訳、説明、対話）、業種別、地域別 - 2028年までの世界予測

Multimodal Al Market by Offering (Solutions & Services), Data Modality (Image, Audio), Technology (ML, NLP, Computer Vision, Context Awareness, IoT), Type (Generative, Translative, Explanatory, Interactive), Vertical and Region - Global Forecast to 2028

世界のマルチモーダルAI市場は、2023年に10億米ドルと評価され、予測期間中に35.0％のCAGRを記録し、2028年までに45億米ドルに達すると推定されている。今日のデータ主導の世界では、テキスト、画像、動画などの... もっと見る

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MarketsandMarkets マーケッツアンドマーケッツ	2023年11月20日	US$4,950 シングルユーザライセンスライセンス・価格情報注文方法はこちら	381	356	英語

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世界のマルチモーダルAI市場は、2023年に10億米ドルと評価され、予測期間中に35.0％のCAGRを記録し、2028年までに45億米ドルに達すると推定されている。今日のデータ主導の世界では、テキスト、画像、動画などの非構造化形式で大量の情報が生成される。この豊富なデータには、多くの場合、洞察や価値あるコンテンツが豊富に含まれていますが、その非構造化という性質が、従来の分析手法で有意義な情報を処理、分析、抽出することを困難にしています。マルチモーダルAIは、組織が非構造化データソースに隠された豊富な情報を活用できるようにする、革新的なソリューションです。動画、画像、テキストからの情報を処理・解釈する機能を備えたマルチモーダルAIは、構造化データや単一のデータタイプの分析に限定されがちなシングルモーダルAIアプローチの限界を超える。この推進力は、デジタル時代において複雑化するデータ分析要件に対処する上で、マルチモーダルAIが不可欠な役割を果たすことを強調している。
ソリューション別では、プラットフォーム・セグメントが予測期間中に最大の市場規模を維持すると予測されている。
プラットフォームの形をしたマルチモーダルAIソリューションは、テキスト、画像、音声、動画など、多様なタイプのデータを同時に扱い、処理するように設計された包括的なシステムを表している。これらのプラットフォームには通常、機械学習、ディープラーニング、自然言語処理などのさまざまな先進技術が組み込まれており、マルチモーダル情報の全体的な理解を可能にする。実際的には、マルチモーダルAIプラットフォームによって、ユーザーは複数のデータモダリティを統一的に処理できるAIモデルを開発、展開、管理できるようになる。これらのプラットフォームは、異なるデータソースからの洞察を統合することで、複雑な実世界のシナリオを解釈し、それに対応できるインテリジェントなシステムを構築する力を組織に与えます。
データモダリティ別では、ビデオデータ分野が予測期間中に最も高いCAGRで成長する。
動画データは、それぞれが視覚コンテンツを含む一連のフレームで構成され、マルチモーダルAIアプリケーションにおいて重要なモダリティである。ビデオデータは、AIシステムが動的なシーンを解釈し、物体を追跡し、パターンを認識し、時間的関係を理解することを可能にし、監視、ヘルスケア、エンターテイメントなどの様々な領域で価値を発揮する。インターネット上のビデオコンテンツの普及、監視・モニタリングシステムの採用の増加、小売業や製造業などの業界におけるより高度なビデオ分析の需要が、マルチモーダルAIにおけるビデオデータの活用を促進している。
アジア太平洋地域は、予測期間中に最も高いCAGRを目撃すると予測されている。
アジア太平洋地域は、経済力と技術進歩の活気あるハブとして台頭しており、2023年には世界成長の70%に相当し、他の地域を上回ると予測されている。世界人口の半数以上がこの地域に居住していることから、特にAIを原動力とするあらゆる技術シフトが将来の軌道に大きな影響を及ぼすと予想される。中国、インド、日本などを含むアジアの数カ国は、情報集約的なAI技術を積極的に取り入れており、会話AIはその技術的最前線をリードしている。中国、日本、韓国、インド、シンガポールなどの国々は人工知能に多額の投資を行っており、APAC地域を世界で最も急成長しているAI市場として位置付けている。
プライマリーの内訳
マルチモーダルAI市場で事業を展開する様々な主要組織の最高経営責任者（CEO）、イノベーション・技術責任者、システム・インテグレーター、経営幹部に対して詳細なインタビューを実施した。
 企業別：ティアI：35％、ティアII：45％、ティアIII：20
 役職別Cレベルエグゼクティブ35%, 取締役：25%、その他40%
 地域別北米：45％、欧州：20％、アジア太平洋：30％、RoW：5
世界中でマルチモーダルAIとサービスを提供している主なベンダーは、グーグル（米国）、マイクロソフト（米国）、OpenAI（米国）、Meta（米国）、AWS（米国）、IBM（米国）、Twelve Labs（米国）、Aimesoft（米国）、Jina AI（ドイツ）、Uniphore（米国）、Reka AI（米国）、Runway（米国）、Jiva.ai（英国）、Vidrovr（米国）、Mobius Labs（米国）、Newsbridge（フランス）、OpenStream.ai（米国）、Habana Labs（米国）、Modality.AI（米国）、Perceiv AI（カナダ）、Multimodal（米国）、Neuraptic AI（スペイン）、Inworld AI（米国）、Aiberry（米国）、One AI（米国）、Beewant（フランス）、Owlbot.AI（米国）、Hoppr（米国）、Archetype AI（米国）、Stability AI（英国）。
調査範囲
本市場調査は、セグメント横断的なマルチモーダルAIを対象としている。提供、データモダリティ、技術、タイプ、業種、地域などの異なるセグメントにわたる市場規模と成長の可能性を推定することを目的としている。本レポートには、市場における主要企業の詳細な競合分析が含まれており、企業プロフィール、製品や事業の提供、最近の動向、主要な市場戦略に関連する主要な見解が記載されています。
レポート購入の主な利点
本レポートは、本市場の市場リーダー/新規参入者に、マルチモーダルAI市場全体とそのサブセグメントにおける収益数の最も近い近似値に関する情報を提供する。本レポートは、ステークホルダーが競合状況を理解し、自社のビジネスを位置付け、適切な市場参入戦略を計画するためのより良い洞察を得るのに役立つだろう。また、利害関係者が市場の鼓動を理解するのに役立ち、主要な市場促進要因、阻害要因、課題、機会に関する情報を提供します。
本レポートでは、以下のポイントに関する洞察を提供しています：

- 主な推進要因の分析（複数のフォーマットで非構造化データを分析する必要性がマルチモーダルAI市場を牽引、複雑なタスクを処理し問題解決に総合的なアプローチを提供するマルチモーダルAIの能力、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、マルチモーダリティをサポートする大規模な機械学習モデルの利用可能性。)、制約(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モデルの処理とトレーニングには膨大な計算リソースが必要)、機会(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、未知のデータタイプへの適応性の強化がマルチモーダルAIを前進させる、マルチモーダルAIの進歩を後押しするデータ管理サービス)マルチモーダルAI市場の成長に影響を与える課題（AIにニュアンスや文脈依存の意味を理解させることは複雑な言語的課題をもたらす、最適なデータ融合はマルチモーダルAIの統合に複雑な課題をもたらす、移植性の限界は多様なデータタイプへのマルチモーダルAIの適応に課題をもたらす）。

- 製品開発／イノベーション：マルチモーダルAI市場における今後の技術、研究開発活動、新製品・サービス発表に関する詳細な洞察。

- 市場開発：有利な市場に関する包括的な情報 - 当レポートでは、さまざまな地域のマルチモーダルAI市場を分析しています。

- 市場の多様化：新製品とサービス、未開拓の地域、最近の開発、マルチモーダルAI市場戦略への投資に関する網羅的な情報。また、ステークホルダーがマルチモーダルAI市場の鼓動を理解するのに役立ち、主要な市場促進要因、阻害要因、課題、機会に関する情報を提供します。

- 競合評価：マルチモーダルAI市場におけるグーグル（米国）、マイクロソフト（米国）、OpenAI（米国）、AWS（米国）、メタ（米国）などの主要企業の市場シェア、成長戦略、サービス内容を詳細に評価。

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1 INTRODUCTION 33
1.1 STUDY OBJECTIVES 33
1.2 MARKET DEFINITION 33
1.2.1 INCLUSIONS AND EXCLUSIONS 34
1.3 MARKET SCOPE 34
1.3.1 MARKET SEGMENTATION 35
1.3.2 REGIONS COVERED 36
1.4 YEARS CONSIDERED 36
1.5 CURRENCY CONSIDERED 37
1.6 STAKEHOLDERS 37
2 RESEARCH METHODOLOGY 38
2.1 RESEARCH DATA 38
FIGURE 1 MULTIMODAL AI MARKET: RESEARCH DESIGN 39
2.1.1 SECONDARY DATA 40
2.1.2 PRIMARY DATA 40
TABLE 1 PRIMARY INTERVIEWS 40
2.1.2.1 Breakup of primary profiles 41
2.1.2.2 Key industry insights 41
2.2 DATA TRIANGULATION 42
FIGURE 2 DATA TRIANGULATION 42
2.3 MARKET SIZE ESTIMATION 43
FIGURE 3 MULTIMODAL AI MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 43
2.3.1 TOP-DOWN APPROACH 43
2.3.2 BOTTOM-UP APPROACH 44
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): FLOWCHART USING REVENUE FROM MULTIMODAL AI SOLUTIONS/SERVICES 44
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL MULTIMODAL AI SOLUTION/SERVICE PROVIDERS 45
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): REVENUES OF TOP PLAYERS AND SOURCES OF DATA 46
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE THROUGH OVERALL MULTIMODAL AI SPENDING 46
2.4 MARKET FORECAST 47
TABLE 2 FACTOR ANALYSIS 47
2.5 RESEARCH ASSUMPTIONS 48
2.6 LIMITATIONS 50
2.7 IMPLICATIONS OF RECESSION ON MULTIMODAL AI MARKET 50
TABLE 3 IMPACT OF RECESSION ON GLOBAL MULTIMODAL AI MARKET 51
3 EXECUTIVE SUMMARY 52
TABLE 4 MULTIMODAL AI MARKET SIZE AND GROWTH RATE, 2017–2022 (USD MILLION, Y-O-Y) 53
TABLE 5 MULTIMODAL AI MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y) 53
FIGURE 8 SOLUTIONS TO HOLD LARGER MARKET IN 2023 53
FIGURE 9 PLATFORM SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023 53
FIGURE 10 CLOUD DEPLOYMENT TO BE LARGER MARKET IN 2023 54
FIGURE 11 PROFESSIONAL SERVICES TO ACCOUNT FOR LARGER MARKET IN 2023 54
FIGURE 12 CONSULTING TO ACCOUNT FOR LARGEST SHARE IN 2023 55
FIGURE 13 IMAGE DATA TO ACCOUNT FOR LARGEST MARKET IN 2023 55
FIGURE 14 GENERATIVE MULTIMODAL AI TO ACCOUNT FOR LARGEST SHARE IN 2023 55
FIGURE 15 NATURAL LANGUAGE PROCESSING TO ACCOUNT FOR LARGEST MARKET IN 2023 56
FIGURE 16 HEALTHCARE & LIFE SCIENCES TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023 56
FIGURE 17 ASIA PACIFIC TO GROW AT HIGHEST CAGR IN MULTIMODAL AI MARKET 57
4 PREMIUM INSIGHTS 58
4.1 ATTRACTIVE OPPORTUNITIES IN MULTIMODAL AI MARKET 58
FIGURE 18 INCREASING NEED TO COMPREHEND AND PROCESS MULTIPLE DATA MODALITIES DRIVES MARKET GROWTH 58
4.2 MULTIMODAL AI MARKET: SOLUTIONS 58
FIGURE 19 SOFTWARE SEGMENT TO GROW AT HIGHEST CAGR IN MULTIMODAL AI MARKET 58
4.3 MULTIMODAL AI MARKET, BY OFFERING & KEY VERTICAL 59
FIGURE 20 SOLUTIONS AND HEALTHCARE & LIFE SCIENCES VERTICAL TO ACCOUNT FOR LARGEST SHARES IN 2023 59
4.4 MULTIMODAL AI MARKET, BY REGION 59
FIGURE 21 NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE IN 2023 59
5 MARKET OVERVIEW AND INDUSTRY TRENDS 60
5.1 INTRODUCTION 60
5.2 MARKET DYNAMICS 60
FIGURE 22 MARKET DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 60
5.2.1 DRIVERS 61
5.2.1.1 Need to analyze unstructured data in multiple formats to drive multimodal AI market 61
5.2.1.2 Ability of multimodal AI to handle complex tasks and provide holistic approach to problem-solving to boost market 61
5.2.1.3 Generative AI techniques to accelerate multimodal ecosystem development 62
5.2.1.4 Availability of large-scale machine learning models that support multimodality to propel market growth 62
5.2.2 RESTRAINTS 63
5.2.2.1 Susceptibility to bias in multimodal models 63
5.2.2.2 Processing and training multimodal AI models to demand extensive computational resources 63
5.2.3 OPPORTUNITIES 63
5.2.3.1 Rising demand for customized and industry-specific solutions 63
5.2.3.2 Enhanced adaptability to unseen data types to propel multimodal AI forward 64
5.2.3.3 Data management services to empower multimodal AI advancements 64
5.2.4 CHALLENGES 65
5.2.4.1 Teaching AI to grasp nuance and context-dependent meanings to pose complex linguistic challenges 65
5.2.4.2 Optimal data fusion to present challenges in multimodal AI integration 65
5.2.4.3 Limitations in transferability to pose challenges for multimodal AI adaptation to diverse data types 66
5.3 INDUSTRY TRENDS 66
5.3.1 MULTIMODAL AI: ARCHITECTURE 66
FIGURE 23 MULTIMODAL AI ARCHITECTURE 66
5.3.2 MULTIMODAL AI: EVOLUTION 68
FIGURE 24 MULTIMODAL AI MARKET EVOLUTION 68
5.3.3 VALUE CHAIN ANALYSIS 69
FIGURE 25 MULTIMODAL AI MARKET: VALUE CHAIN ANALYSIS 71
5.3.4 ECOSYSTEM/MARKET MAP 71
FIGURE 26 KEY PLAYERS IN MULTIMODAL AI MARKET ECOSYSTEM 71
TABLE 6 MULTIMODAL AI MARKET: ECOSYSTEM 72
5.3.4.1 Solution Providers 72
5.3.4.2 Service Providers 73
5.3.4.3 End Users 73
5.3.4.4 Regulatory Bodies 73
5.3.5 PRICING ANALYSIS 74
5.3.5.1 Average Selling Price Trend of Key Players: Top 3 Data Modalities 74
FIGURE 27 AVERAGE SELLING PRICE TREND OF KEY PLAYERS: TOP THREE DATA MODALITIES 74
TABLE 7 AVERAGE SELLING PRICE TREND OF KEY PLAYERS FOR TOP THREE DATA MODALITIES (USD) 74
5.3.5.2 Indicative Pricing Analysis of Multimodal AI, By Solution 74
TABLE 8 MULTIMODAL AI: INDICATIVE PRICING LEVELS OF MULTIMODAL AI, BY SOLUTION 75
5.3.6 PORTER’S FIVE FORCES ANALYSIS 75
FIGURE 28 PORTER’S FIVE FORCES ANALYSIS 76
TABLE 9 MULTIMODAL AI MARKET: PORTER’S FIVE FORCES ANALYSIS 76
5.3.6.1 Threat of new entrants 77
5.3.6.2 Threat of substitutes 77
5.3.6.3 Bargaining power of suppliers 77
5.3.6.4 Bargaining power of buyers 77
5.3.6.5 Intensity of competitive rivalry 77
5.3.7 TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS 78
5.3.7.1 Trends/Disruptions impacting customer’s business 78
FIGURE 29 MULTIMODAL AI MARKET: TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS 78
5.3.8 TECHNOLOGY ANALYSIS 78
FIGURE 30 MULTIMODAL AI MARKET: TECHNOLOGY ANALYSIS 79
5.3.8.1 Key Technologies 79
5.3.8.1.1 Machine Learning 79
5.3.8.1.2 Natural Language Processing 80
5.3.8.1.3 AR & VR 80
5.3.8.1.4 Computer Vision 81
5.3.8.1.5 IoT 82
5.3.8.2 Complementary Technologies 82
5.3.8.2.1 Cloud Computing 82
5.3.8.2.2 Data Mining 83
5.3.8.2.3 Biometric Authentication 83
5.3.8.3 Adjacent Technologies 84
5.3.8.3.1 Big Data 84
5.3.8.3.2 Predictive Analytics 84
5.3.8.3.3 Edge Computing 85
5.3.8.3.4 Knowledge Graph 85
5.3.9 CASE STUDY ANALYSIS 86
5.3.9.1 CASE STUDY 1: Associated Press revolutionized multimedia processing with Vidrovr 86
5.3.9.2 CASE STUDY 2: SceneXplain's innovative automation and tagging solution revolutionized European e-commerce platform 87
5.3.9.3 CASE STUDY 3: Global banking group transformed its operations with Uniphore's AI-driven compliance and monitoring solution 88
5.3.9.4 CASE STUDY 4: Uniphore's U-Assist solution transformed healthcare services company's agent guidance 89
5.3.9.5 CASE STUDY 5: Telecom leader enhanced efficiency and customer experience with Uniphore's AI-powered automation 90
5.3.10 PATENT ANALYSIS 91
5.3.10.1 Methodology 91
5.3.10.2 Patents Filed, By Document Type 91
TABLE 10 PATENTS FILED, BY DOCUMENT TYPE 91
5.3.10.3 Innovation and patent applications 92
FIGURE 31 NUMBER OF PATENTS GRANTED IN LAST 10 YEARS, 2013–2023 92
5.3.10.3.1 Top 10 applicants in multimodal AI market 92
FIGURE 32 TOP 10 APPLICANTS IN MULTIMODAL AI MARKET, 2013–2023 92
FIGURE 33 REGIONAL ANALYSIS OF PATENTS GRANTED, 2013–2023 93
TABLE 11 TOP 20 PATENT OWNERS IN MULTIMODAL AI MARKET, 2013–2023 93
TABLE 12 LIST OF PATENTS GRANTED IN MULTIMODAL AI MARKET, 2023 94
5.3.11 TRADE ANALYSIS 95
5.3.11.1 Import scenario 95
FIGURE 34 COMPUTER SOFTWARE IMPORT, BY KEY COUNTRY, 2015–2022 (USD BILLION) 96
5.3.11.2 Export scenario 96
FIGURE 35 COMPUTER SOFTWARE EXPORT, BY KEY COUNTRY, 2015–2022 (USD BILLION) 97
5.3.12 KEY CONFERENCES & EVENTS, 2023–2025 97
TABLE 13 MULTIMODAL AI MARKET: DETAILED LIST OF CONFERENCES & EVENTS, 2023–2025 97
5.3.13 TARIFF AND REGULATORY LANDSCAPE 98
5.3.13.1 Tariff Related to Multimodal AI Solutions 98
TABLE 14 TARIFF RELATED TO MULTIMODAL AI SOLUTIONS, 2022 98
5.3.13.2 Regulatory Bodies, Government Agencies, and Other Organizations 100
TABLE 15 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 100
TABLE 16 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 101
TABLE 17 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 103
TABLE 18 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 104
TABLE 19 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 104
5.3.13.3 North America 105
5.3.13.3.1 US 105
5.3.13.3.2 Canada 105
5.3.13.4 Europe 105
5.3.13.5 Asia Pacific 106
5.3.13.5.1 South Korea 106
5.3.13.5.2 China 106
5.3.13.5.3 India 106
5.3.13.6 Middle East & Africa 106
5.3.13.6.1 UAE 106
5.3.13.6.2 KSA 106
5.3.13.6.3 Bahrain 106
5.3.13.7 Latin America 106
5.3.13.7.1 Brazil 107
5.3.13.7.2 Mexico 107
5.3.14 KEY STAKEHOLDERS AND BUYING CRITERIA 107
5.3.14.1 Key Stakeholders in Buying Process 107
FIGURE 36 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS 107
TABLE 20 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS 107
5.3.14.2 Buying Criteria 108
FIGURE 37 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 108
TABLE 21 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 108
5.3.15 BEST PRACTICES IN MULTIMODAL AI MARKET 108
5.3.16 TECHNOLOGY ROADMAP OF MULTIMODAL AI MARKET 110
TABLE 22 SHORT-TERM ROADMAP, 2023–2025 110
TABLE 23 MID-TERM ROADMAP, 2026–2028 110
TABLE 24 LONG-TERM ROADMAP, 2029–2030 111
5.3.17 BUSINESS MODELS OF MULTIMODAL AI MARKET 111
5.3.17.1 SaaS (Software as a Service) Platforms 111
5.3.17.2 Pay-Per-Use or Consumption-Based Pricing 111
5.3.17.3 APIs and SDKs (Software Development Kits) 112
5.3.17.4 Data Annotation and Labeling Services 112
5.3.17.5 Consulting and Integration Services 112
6 MULTIMODAL AI MARKET, BY OFFERING 113
6.1 INTRODUCTION 114
6.1.1 OFFERING: MULTIMODAL AI MARKET DRIVERS 114
FIGURE 38 SERVICES SEGMENT TO WITNESS HIGHER CAGR DURING FORECAST PERIOD 115
TABLE 25 MULTIMODAL AI MARKET, BY OFFERING, 2017–2022 (USD MILLION) 115
TABLE 26 MULTIMODAL AI MARKET, BY OFFERING, 2023–2028 (USD MILLION) 115
6.2 SOLUTIONS 116
6.2.1 GROWING DEMAND FOR SEAMLESS INTEGRATION OF DIVERSE DATA SOURCES TO DRIVE MULTIMODAL AI SOLUTIONS MARKET GROWTH 116
FIGURE 39 PLATFORM SEGMENT TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD 116
TABLE 27 MULTIMODAL AI MARKET, BY SOLUTION, 2017–2022 (USD MILLION) 116
TABLE 28 MULTIMODAL AI MARKET, BY SOLUTION, 2023–2028 (USD MILLION) 117
TABLE 29 SOLUTIONS: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 117
TABLE 30 SOLUTIONS: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 117
6.2.2 PLATFORM 118
6.2.2.1 Increasing need for unified solutions within single ecosystem to drive platform segment 118
TABLE 31 PLATFORM: MULTIMODAL AI SOLUTIONS MARKET, BY REGION, 2017–2022 (USD MILLION) 118
TABLE 32 PLATFORM: MULTIMODAL AI SOLUTIONS MARKET, BY REGION, 2023–2028 (USD MILLION) 118
6.2.3 SOFTWARE 119
6.2.3.1 Advanced AI solutions offered by software to fuel market growth 119
TABLE 33 SOFTWARE: MULTIMODAL AI SOLUTIONS MARKET, BY REGION, 2017–2022 (USD MILLION) 119
TABLE 34 SOFTWARE: MULTIMODAL AI SOLUTIONS MARKET, BY REGION, 2023–2028 (USD MILLION) 119
6.2.4 FRAMEWORK 120
6.2.4.1 Multimodal AI frameworks to empower developers with open-source and cloud-native solutions 120
TABLE 35 FRAMEWORK: MULTIMODAL AI SOLUTIONS MARKET, BY REGION, 2017–2022 (USD MILLION) 120
TABLE 36 FRAMEWORK: MULTIMODAL AI SOLUTIONS MARKET, BY REGION, 2023–2028 (USD MILLION) 120
6.3 SOLUTIONS, BY DEPLOYMENT MODE 121
6.3.1 ADAPTABILITY TO CHOOSE BETWEEN CENTRALIZED CLOUD-BASED PROCESSING OR LOCALIZED, SECURE ON-PREMISES DEPLOYMENTS 121
FIGURE 40 CLOUD SEGMENT TO WITNESS HIGHER CAGR DURING FORECAST PERIOD 121
TABLE 37 MULTIMODAL AI MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION) 121
TABLE 38 MULTIMODAL AI MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION) 122
6.3.2 CLOUD 122
6.3.2.1 Cloud to help reduce burden of infrastructure management and overhead costs 122
TABLE 39 CLOUD: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 122
TABLE 40 CLOUD: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 123
6.3.3 ON-PREMISES 123
6.3.3.1 Stringent data governance and security requirements to propel market 123
TABLE 41 ON-PREMISES: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 123
TABLE 42 ON-PREMISES: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 124
6.4 SERVICES 124
6.4.1 SERVICES TO ENABLE ORGANIZATIONS TO EFFECTIVELY IMPLEMENT AND MAINTAIN MULTIMODAL AI SOLUTIONS 124
FIGURE 41 PROFESSIONAL SERVICES TO HOLD LARGER MARKET SIZE DURING FORECAST PERIOD 124
TABLE 43 MULTIMODAL AI MARKET, BY SERVICE, 2017–2022 (USD MILLION) 125
TABLE 44 MULTIMODAL AI MARKET, BY SERVICE, 2023–2028 (USD MILLION) 125
6.4.2 PROFESSIONAL SERVICES 125
6.4.2.1 Requirement of expert guidance and support in implementing multimodal AI solutions to drive segment’s growth 125
FIGURE 42 MULTIMODAL DATA ANNOTATION SEGMENT TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD 126
TABLE 45 PROFESSIONAL SERVICES: MULTIMODAL AI MARKET, BY TYPE, 2017–2022 (USD MILLION) 126
TABLE 46 PROFESSIONAL SERVICES: MULTIMODAL AI MARKET, BY TYPE, 2023–2028 (USD MILLION) 127
TABLE 47 PROFESSIONAL SERVICES: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 127
TABLE 48 PROFESSIONAL SERVICES: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 127
6.4.2.2 Consulting 128
TABLE 49 CONSULTING: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 128
TABLE 50 CONSULTING: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 128
6.4.2.3 Training & Workshops 128
TABLE 51 TRAINING & WORKSHOPS: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 129
TABLE 52 TRAINING & WORKSHOPS: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 129
6.4.2.4 Multimodal Data Integration 129
TABLE 53 MULTIMODAL DATA INTEGRATION: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 130
TABLE 54 MULTIMODAL DATA INTEGRATION: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 130
6.4.2.5 Custom Multimodal AI Development 130
TABLE 55 CUSTOM MULTIMODAL AI DEVELOPMENT: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 131
TABLE 56 CUSTOM MULTIMODAL AI DEVELOPMENT: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 131
6.4.2.6 Multimodal Data Annotation 131
TABLE 57 MULTIMODAL DATA ANNOTATION: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 132
TABLE 58 MULTIMODAL DATA ANNOTATION: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 132
6.4.2.7 Support & Maintenance 132
TABLE 59 SUPPORT & MAINTENANCE: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 133
TABLE 60 SUPPORT & MAINTENANCE: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 133
6.4.3 MANAGED SERVICES 133
6.4.3.1 Increasing complexity of AI implementation to foster multimodal AI adoption 133
TABLE 61 MANAGED SERVICES: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 134
TABLE 62 MANAGED SERVICES: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 134
7 MULTIMODAL AI MARKET, BY DATA MODALITY 135
7.1 INTRODUCTION 136
7.1.1 DATA MODALITY: MULTIMODAL AI MARKET DRIVERS 136
FIGURE 43 VIDEO DATA SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 136
TABLE 63 MULTIMODAL AI MARKET, BY DATA MODALITY, 2017–2022 (USD MILLION) 137
TABLE 64 MULTIMODAL AI MARKET, BY DATA MODALITY, 2023–2028 (USD MILLION) 137
7.2 IMAGE DATA 137
7.2.1 INCREASING NEED FOR ADVANCED VISUAL UNDERSTANDING TO FUEL MARKET FOR IMAGE DATA 137
TABLE 65 IMAGE DATA: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 138
TABLE 66 IMAGE DATA: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 138
7.2.2 IMAGE RECOGNITION 138
7.2.3 OBJECT DETECTION 139
7.2.4 IMAGE CAPTIONING 139
7.2.5 IMAGE GENERATION 140
7.2.6 OTHERS 140
7.3 TEXT DATA 141
7.3.1 TEXT DATA TO REVOLUTIONIZE TEXT ANALYSIS AND INFORMATION EXTRACTION 141
TABLE 67 TEXT DATA: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 141
TABLE 68 TEXT DATA: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 141
7.3.2 NATURAL LANGUAGE UNDERSTANDING 142
7.3.3 SENTIMENT ANALYSIS 142
7.3.4 TEXT GENERATION 143
7.3.5 LANGUAGE TRANSLATION 143
7.3.6 OTHERS 144
7.4 SPEECH AND VOICE DATA 144
7.4.1 SPEECH & VOICE DATA TO DRIVE ADVANCEMENTS IN VOICE ASSISTANTS, VOICE BIOMETRICS, AND USER EXPERIENCES 144
TABLE 69 SPEECH & VOICE DATA: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 145
TABLE 70 SPEECH & VOICE DATA: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 145
7.4.2 SPEECH AND VOICE RECOGNITION 146
7.4.3 VOICE ASSISTANTS 146
7.4.4 VOICE BIOMETRICS 147
7.4.5 SPEECH SYNTHESIS 148
7.4.6 OTHERS 148
7.5 VIDEO DATA 149
7.5.1 SURGE IN VIDEO-BASED CONTENT CONSUMPTION AND DEMAND FOR ENHANCED VIDEO ANALYTICS TO PROPEL MARKET 149
TABLE 71 VIDEO DATA: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 149
TABLE 72 VIDEO DATA: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 150
7.5.2 VIDEO ANALYSIS 150
7.5.3 VIDEO CAPTIONING 151
7.5.4 VIDEO GENERATION 151
7.5.5 OTHERS 151
7.6 AUDIO DATA 152
7.6.1 RISING ADOPTION OF VOICE-ENABLED DEVICES AND PERSONALIZED AUDIO EXPERIENCES TO ENHANCE AUDIO DATA MARKET 152
TABLE 73 AUDIO DATA: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 152
TABLE 74 AUDIO DATA: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 153
7.6.2 AUDIO PROCESSING 153
7.6.3 MUSIC ANALYSIS 153
7.6.4 SOUND CLASSIFICATION 154
7.6.5 OTHERS 154
7.7 OTHER DATA MODALITIES 155
TABLE 75 OTHER DATA MODALITIES: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 155
TABLE 76 OTHER DATA MODALITIES: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 155
8 MULTIMODAL AI MARKET, BY TECHNOLOGY 156
8.1 INTRODUCTION 157
8.1.1 TECHNOLOGY: MULTIMODAL AI MARKET DRIVERS 157
FIGURE 44 NATURAL LANGUAGE PROCESSING TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD 157
TABLE 77 MULTIMODAL AI MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION) 158
TABLE 78 MULTIMODAL AI MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 158
8.2 MACHINE LEARNING 158
8.2.1 CONTINUOUS EVOLUTION OF ALGORITHMS AND MODELS IN MACHINE LEARNING TO SHAPE MARKET 158
TABLE 79 MACHINE LEARNING: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 159
TABLE 80 MACHINE LEARNING: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 159
8.3 NATURAL LANGUAGE PROCESSING 159
8.3.1 NLP TO REVOLUTIONIZE COMMUNICATION AND COMPREHENSION IN VARIOUS INDUSTRIES AND APPLICATIONS 159
TABLE 81 NATURAL LANGUAGE PROCESSING: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 160
TABLE 82 NATURAL LANGUAGE PROCESSING: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 160
8.4 COMPUTER VISION 160
8.4.1 COMPUTER VISION TO TRANSFORM INDUSTRIES THROUGH ENHANCED IMAGE AND VIDEO ANALYSIS FUNCTIONS 160
TABLE 83 COMPUTER VISION: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 161
TABLE 84 COMPUTER VISION: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 161
8.5 CONTEXT AWARENESS 161
8.5.1 ABILITY OF AI SYSTEMS TO INTERPRET DATA BASED ON SITUATIONAL CONTEXT TO DRIVE SEGMENT’S GROWTH 161
TABLE 85 CONTEXT AWARENESS: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 162
TABLE 86 CONTEXT AWARENESS: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 162
8.6 INTERNET OF THINGS 162
8.6.1 SURGE IN INTERCONNECTED DEVICES GENERATING DIVERSE DATA STREAMS TO BOOST MARKET 162
TABLE 87 INTERNET OF THINGS: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 163
TABLE 88 INTERNET OF THINGS: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 163
9 MULTIMODAL AI MARKET, BY TYPE 164
9.1 INTRODUCTION 165
9.1.1 TYPE: MULTIMODAL AI MARKET DRIVERS 165
FIGURE 45 INTERACTIVE MULTIMODAL AI TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 165
TABLE 89 MULTIMODAL AI MARKET, BY TYPE, 2017–2022 (USD MILLION) 166
TABLE 90 MULTIMODAL AI MARKET, BY TYPE, 2023–2028 (USD MILLION) 166
9.2 GENERATIVE MULTIMODAL AI 166
9.2.1 TRANSFORMATIVE POWER OF GENERATIVE MULTIMODAL AI TO EXTEND BEYOND CONTENT GENERATION 166
TABLE 91 GENERATIVE MULTIMODAL AI: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 167
TABLE 92 GENERATIVE MULTIMODAL AI: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 167
9.3 TRANSLATIVE MULTIMODAL AI 167
9.3.1 ABILITY TO TRANSLATE AND INTERPRET INFORMATION ACROSS DIFFERENT DATA MODALITIES TO DRIVE SEGMENT’S GROWTH 167
TABLE 93 TRANSLATIVE MULTIMODAL AI: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 168
TABLE 94 TRANSLATIVE MULTIMODAL AI: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 168
9.4 EXPLANATORY MULTIMODAL AI 169
9.4.1 INCREASING DEMAND FOR AI SYSTEMS THAT OFFER TRANSPARENT INSIGHTS INTO DECISION-MAKING PROCESSES TO DRIVE SEGMENT’S GROWTH 169
TABLE 95 EXPLANATORY MULTIMODAL AI: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 169
TABLE 96 EXPLANATORY MULTIMODAL AI: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 170
9.5 INTERACTIVE MULTIMODAL AI 170
9.5.1 INTERACTIVE MULTIMODAL AI TO REDEFINE HUMAN-MACHINE INTERACTIONS ACROSS INDUSTRIES 170
TABLE 97 INTERACTIVE MULTIMODAL AI: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 171
TABLE 98 INTERACTIVE MULTIMODAL AI: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 171
10 MULTIMODAL AI MARKET, BY VERTICAL 172
10.1 INTRODUCTION 173
10.1.1 VERTICAL: MULTIMODAL AI MARKET DRIVERS 173
FIGURE 46 AUTOMOTIVE, TRANSPORTATION & LOGISTICS VERTICAL TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 173
TABLE 99 MULTIMODAL AI MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 174
TABLE 100 MULTIMODAL AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 174
10.2 HEALTHCARE AND LIFE SCIENCES 175
TABLE 101 HEALTHCARE & LIFE SCIENCES: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 175
TABLE 102 HEALTHCARE & LIFE SCIENCES: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 175
10.2.1 MEDICAL IMAGING AND DIAGNOSTICS 176
10.2.2 PRECISION MEDICINE 176
10.2.3 LIFESTYLE MANAGEMENT & MONITORING, AND WEARABLES 176
10.2.4 MEDICAL RESEARCH 177
10.2.5 ROBOTIC SURGERY ASSISTANCE 177
10.2.6 PATIENT DATA RISK ANALYSIS 177
10.2.7 OTHER APPLICATIONS 177
10.3 BANKING, FINANCIAL SERVICES, AND INSURANCE 178
TABLE 103 BFSI: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 179
TABLE 104 BFSI: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 179
10.3.1 FRAUD DETECTION 179
10.3.2 RISK ASSESSMENT 180
10.3.3 CUSTOMER SERVICE 180
10.3.4 INSURANCE UNDERWRITING 181
10.3.5 FINANCIAL PLANNING & WEALTH MANAGEMENT 181
10.3.6 PERSONALIZATION OF FINANCIAL PRODUCT RECOMMENDATIONS 181
10.3.7 OTHER APPLICATIONS 182
10.4 RETAIL & E-COMMERCE 182
TABLE 105 RETAIL & E-COMMERCE: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 182
TABLE 106 RETAIL & E-COMMERCE: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 183
10.4.1 MULTIMODAL SEARCH AND PERSONALIZED RECOMMENDATION 183
10.4.2 SUPPLY CHAIN OPTIMIZATION 183
10.4.3 PRICE OPTIMIZATION 184
10.4.4 CHATBOT & VIRTUAL ASSISTANTS 184
10.4.5 VIRTUAL STORE MANAGEMENT & CUSTOMER ASSISTANT 185
10.4.6 AUGMENTED REALITY SHOPPING EXPERIENCES 185
10.4.7 OTHER APPLICATIONS 186
10.5 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS 186
TABLE 107 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 186
TABLE 108 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 187
10.5.1 SEMI-AUTONOMOUS & AUTONOMOUS VEHICLES 187
10.5.2 ROUTE OPTIMIZATION 187
10.5.3 SMART LOGISTICS AND WAREHOUSING 188
10.5.4 SUPPLY CHAIN VISIBILITY AND TRACKING 188
10.5.5 TRAFFIC PATTERN ANALYSIS 188
10.5.6 DRIVER MONITORING SYSTEM 189
10.5.7 OTHER APPLICATIONS 189
10.6 TELECOMMUNICATIONS 189
TABLE 109 TELECOMMUNICATIONS: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 190
TABLE 110 TELECOMMUNICATIONS: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 190
10.6.1 NETWORK OPTIMIZATION 190
10.6.2 NETWORK SECURITY 191
10.6.3 CUSTOMER SERVICE SUPPORT 191
10.6.4 NETWORK FAULT PREDICTION 191
10.6.5 VIRTUAL NETWORK ASSISTANT 192
10.6.6 INTELLIGENT CALL ROUTING 192
10.6.7 OTHER APPLICATIONS 193
10.7 GOVERNMENT AND PUBLIC SECTOR 193
TABLE 111 GOVERNMENT & PUBLIC SECTOR: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 193
TABLE 112 GOVERNMENT & PUBLIC SECTOR: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 194
10.7.1 AUTONOMOUS SURVEILLANCE & MONITORING SYSTEM 194
10.7.2 DISASTER RESPONSE & DISCOVERY ASSISTANT 194
10.7.3 E-GOVERNANCE & DIGITAL CITY SERVICES 195
10.7.4 LAW ENFORCEMENT 195
10.7.5 TRANSPORTATION MANAGEMENT 196
10.7.6 ENVIRONMENTAL MONITORING 196
10.7.7 OTHER APPLICATIONS 196
10.8 MANUFACTURING 197
TABLE 113 MANUFACTURING: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 197
TABLE 114 MANUFACTURING: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 197
10.8.1 PREDICTIVE MAINTENANCE 198
10.8.2 QUALITY CONTROL 198
10.8.3 INVENTORY MANAGEMENT 198
10.8.4 COST OPTIMIZATION 199
10.8.5 SUPPLY CHAIN OPTIMIZATION 199
10.8.6 PRODUCTION LINE OPTIMIZATION 200
10.8.7 OTHER APPLICATIONS 200
10.9 MEDIA AND ENTERTAINMENT 201
TABLE 115 MEDIA & ENTERTAINMENT: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 201
TABLE 116 MEDIA & ENTERTAINMENT: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 201
10.9.1 PERSONALIZED CONTENT RECOMMENDATIONS 202
10.9.2 CONTENT CREATION AND GENERATION 202
10.9.3 CONTENT COPYRIGHT PROTECTION 202
10.9.4 AUDIENCE ANALYTICS AND SEGMENTATION 203
10.9.5 PERSONALIZED ADVERTISING 203
10.9.6 SOCIAL MEDIA ANALYSIS 203
10.9.7 OTHER APPLICATIONS 204
10.10 OTHER VERTICALS 204
TABLE 117 OTHER VERTICALS: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 205
TABLE 118 OTHER VERTICALS: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 205
11 MULTIMODAL AI MARKET, BY REGION 206
11.1 INTRODUCTION 207
FIGURE 47 SOUTH AFRICA TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD 207
FIGURE 48 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD 208
TABLE 119 MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION) 208
TABLE 120 MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION) 208
11.2 NORTH AMERICA 209
11.2.1 NORTH AMERICA: MULTIMODAL AI MARKET DRIVERS 209
11.2.2 NORTH AMERICA: RECESSION IMPACT 210
FIGURE 49 NORTH AMERICA: MARKET SNAPSHOT 210
TABLE 121 NORTH AMERICA: MULTIMODAL AI MARKET, BY COUNTRY, 2017–2022 (USD MILLION) 211
TABLE 122 NORTH AMERICA: MULTIMODAL AI MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 211
TABLE 123 NORTH AMERICA: MULTIMODAL AI MARKET, BY OFFERING, 2017–2022 (USD MILLION) 211
TABLE 124 NORTH AMERICA: MULTIMODAL AI MARKET, BY OFFERING, 2023–2028 (USD MILLION) 211
TABLE 125 NORTH AMERICA: MULTIMODAL AI MARKET, BY SOLUTION, 2017–2022 (USD MILLION) 212
TABLE 126 NORTH AMERICA: MULTIMODAL AI MARKET, BY SOLUTION, 2023–2028 (USD MILLION) 212
TABLE 127 NORTH AMERICA: MULTIMODAL AI SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION) 212
TABLE 128 NORTH AMERICA: MULTIMODAL AI SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION) 212
TABLE 129 NORTH AMERICA: MULTIMODAL AI MARKET, BY SERVICE, 2017–2022 (USD MILLION) 213
TABLE 130 NORTH AMERICA: MULTIMODAL AI MARKET, BY SERVICE, 2023–2028 (USD MILLION) 213
TABLE 131 NORTH AMERICA: MULTIMODAL AI MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION) 213
TABLE 132 NORTH AMERICA: MULTIMODAL AI MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION) 214
TABLE 133 NORTH AMERICA: MULTIMODAL AI MARKET, BY DATA MODALITY, 2017–2022 (USD MILLION) 214
TABLE 134 NORTH AMERICA: MULTIMODAL AI MARKET, BY DATA MODALITY, 2023–2028 (USD MILLION) 214
TABLE 135 NORTH AMERICA: MULTIMODAL AI MARKET, BY TYPE, 2017–2022 (USD MILLION) 215
TABLE 136 NORTH AMERICA: MULTIMODAL AI MARKET, BY TYPE, 2023–2028 (USD MILLION) 215
TABLE 137 NORTH AMERICA: MULTIMODAL AI MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION) 215
TABLE 138 NORTH AMERICA: MULTIMODAL AI MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 216
TABLE 139 NORTH AMERICA: MULTIMODAL AI MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 216
TABLE 140 NORTH AMERICA: MULTIMODAL AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 217
11.2.3 US 217
11.2.3.1 Presence of significant number of top-tier AI researchers in US institutions to drive market growth 217
11.2.4 CANADA 218
11.2.4.1 Robust Canadian commitment to AI innovation to propel multimodal AI sector 218
11.3 EUROPE 218
11.3.1 EUROPE: MULTIMODAL AI MARKET DRIVERS 219
11.3.2 EUROPE: RECESSION IMPACT 219
TABLE 141 EUROPE: MULTIMODAL AI MARKET, BY COUNTRY, 2017–2022 (USD MILLION) 220
TABLE 142 EUROPE: MULTIMODAL AI MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 220
TABLE 143 EUROPE: MULTIMODAL AI MARKET, BY OFFERING, 2017–2022 (USD MILLION) 220
TABLE 144 EUROPE: MULTIMODAL AI MARKET, BY OFFERING, 2023–2028 (USD MILLION) 221
TABLE 145 EUROPE: MULTIMODAL AI MARKET, BY SOLUTION, 2017–2022 (USD MILLION) 221
TABLE 146 EUROPE: MULTIMODAL AI MARKET, BY SOLUTION, 2023–2028 (USD MILLION) 221
TABLE 147 EUROPE: MULTIMODAL AI SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION) 221
TABLE 148 EUROPE: MULTIMODAL AI SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION) 222
TABLE 149 EUROPE: MULTIMODAL AI MARKET, BY SERVICE, 2017–2022 (USD MILLION) 222
TABLE 150 EUROPE: MULTIMODAL AI MARKET, BY SERVICE, 2023–2028 (USD MILLION) 222
TABLE 151 EUROPE: MULTIMODAL AI MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION) 222
TABLE 152 EUROPE: MULTIMODAL AI MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION) 223
TABLE 153 EUROPE: MULTIMODAL AI MARKET, BY DATA MODALITY, 2017–2022 (USD MILLION) 223
TABLE 154 EUROPE: MULTIMODAL AI MARKET, BY DATA MODALITY, 2023–2028 (USD MILLION) 223
TABLE 155 EUROPE: MULTIMODAL AI MARKET, BY TYPE, 2017–2022 (USD MILLION) 224
TABLE 156 EUROPE: MULTIMODAL AI MARKET, BY TYPE, 2023–2028 (USD MILLION) 224
TABLE 157 EUROPE: MULTIMODAL AI MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION) 224
TABLE 158 EUROPE: MULTIMODAL AI MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 225
TABLE 159 EUROPE: MULTIMODAL AI MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 225
TABLE 160 EUROPE: MULTIMODAL AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 225
11.3.3 UK 226
11.3.3.1 Vast repository of health records to serve as substantial asset and advantage for UK’s multimodal AI market 226
11.3.4 GERMANY 226
11.3.4.1 Dedicated financial commitment and strategic investments in infrastructure to drive adoption of AI and ML technologies 226
11.3.5 FRANCE 227
11.3.5.1 Strategic focus on open-source AI initiatives in France to boost multimodal AI development 227
11.3.6 SPAIN 227
11.3.6.1 Active support and initiatives from Spanish government to accelerate growth of AI 227
11.3.7 ITALY 228
11.3.7.1 Implementation of three-year Strategic Plan for AI to expand Italian market 228
11.3.8 REST OF EUROPE 228

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Table of Contents

Summary

The global multimodal AI market is valued at USD 1.0 billion in 2023 and is estimated to reach USD 4.5 billion by 2028, registering a CAGR of 35.0% during the forecast period. In today's data-driven world, an abundance of information is generated in unstructured formats such as text, images, and videos. This wealth of data is often rich in insights and valuable content, but its unstructured nature makes it challenging to process, analyze, and extract meaningful information using traditional analytics methods. Multimodal AI steps in as a transformative solution, allowing organizations to harness the riches concealed within unstructured data sources. With the capability to process and interpret information from videos, images, and text, multimodal AI surpasses the limitations of single-modal AI approaches, which are often confined to analyzing structured data or a single data type. This driver underscores the essential role of multimodal AI in addressing the increasing complexity of data analysis requirements in the digital age.
By solutions, the platform segment is projected to hold the largest market size during the forecast period
Multimodal AI solutions in the form of platforms represent comprehensive systems designed to handle and process diverse types of data simultaneously, including text, images, audio, and video. These platforms typically incorporate a range of advanced technologies such as machine learning, deep learning, and natural language processing to enable a holistic understanding of multimodal information. In practical terms, a multimodal AI platform allows users to develop, deploy, and manage AI models capable of handling multiple data modalities in a unified manner. These platforms empower organizations to build intelligent systems that can interpret and respond to complex, real-world scenarios by integrating insights from different data sources.
By data modality, Video Data segment is registered to grow at the highest CAGR during the forecast period
Video data consists of a sequence of frames, each containing visual content, and is a critical modality in multimodal AI applications. Video data allows AI systems to interpret dynamic scenes, track objects, recognize patterns, and understand temporal relationships, making it valuable in various domains such as surveillance, healthcare, and entertainment. The growing prevalence of video content on the internet, the increasing adoption of surveillance and monitoring systems, and the demand for more sophisticated video analytics in industries like retail and manufacturing drives the utilization of video data in multimodal AI.
Asia Pacific is projected to witness the highest CAGR during the forecast period.
The Asia Pacific region emerges as a vibrant hub of economic prowess and technological progress, forecasted to contribute a substantial 70% of global growth in 2023, surpassing other regions. With over half of the world's population residing in this region, any technological shifts, particularly those driven by AI, are anticipated to significantly influence its future trajectory. Several Asian countries, including China, India, Japan, and others, are actively embracing information-intensive AI technologies, with conversational AI leading the technological forefront. Nations like China, Japan, South Korea, India, and Singapore are making substantial investments in artificial intelligence, positioning the APAC region as the fastest-growing AI market globally.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the multimodal AI market.
 By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
 By Designation: C-Level Executives: 35%, Directors: 25%, and Others: 40%
 By Region: North America: 45%, Europe: 20%, Asia Pacific: 30%, RoW: 5%
Major vendors offering multimodal AI and services across the globe are Google (US), Microsoft (US), OpenAI (US), Meta (US), AWS (US), IBM (US), Twelve Labs (US), Aimesoft (US), Jina AI (Germany), Uniphore (US), Reka AI (US), Runway (US), Jiva.ai (UK), Vidrovr (US), Mobius Labs (US), Newsbridge (France), OpenStream.ai (US), Habana Labs (US), Modality.AI (US), Perceiv AI (Canada), Multimodal (US), Neuraptic AI (Spain), Inworld AI (US), Aiberry (US), One AI (US), Beewant (France), Owlbot.AI (US), Hoppr (US), Archetype AI (US), Stability AI (England).
Research Coverage
The market study covers multimodal AI across segments. It aims at estimating the market size and the growth potential across different segments, such as offering, data modality, technology, type, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall market for multimodal AI and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:

• Analysis of key drivers (The need to analyze unstructured data in multiple formats drives the multimodal AI market, The ability of multimodal AI to handle complex tasks and provide a holistic approach to problem-solving, Generative AI techniques to accelerate multimodal ecosystem development and The availability of large-scale machine learning models that support multimodality.), restraints (Susceptibility to bias in multimodal models and Processing and training multi-modal AI models demand extensive computational resources), opportunities (Rising demand for customized and industry-specific solutions, Enhanced adaptability to unseen data types propels multimodal AI forward, Data Management Services to empowering multimodal AI advancements), and challenges (Teaching AI to grasp nuance and context-dependent meanings poses complex linguistic challenges, Optimal data fusion presents complex challenges in multimodal AI integration, Limitations in transferability pose challenges for multimodal AI adaptation to diverse data types) influencing the growth of the multimodal AI market

• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the multimodal AI market.

• Market Development: Comprehensive information about lucrative markets – the report analyses the multimodal AI market across varied regions.

• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in multimodal AI market strategies; the report also helps stakeholders understand the pulse of the multimodal AI market and provides them with information on key market drivers, restraints, challenges, and opportunities.

• Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as Google (US), Microsoft (US), OpenAI (US), AWS (US), Meta (US) among others in the multimodal AI market.

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