マルチモーダルAI市場レポート：2030年までの動向、予測、競合分析

マルチモーダルAIの動向と予測

世界のマルチモーダルAI市場は、2024年から2030年までのCAGRが21.3%で、2030年までに推定33億米ドルに達すると予測されます。この市場の主な促進要因は、非構造化データを分析するニーズの高まり、AI技術の継続的な発展、さらに各業界に合わせたソリューションへのニーズの高まりです。世界のマルチモーダルAI市場の将来は、メディア・エンターテインメント、BFSI、IT・通信、医療、自動車・輸送機械、ゲームの各市場における機会で有望視されています。

セグメント別マルチモーダルAI

この調査には、世界のマルチモーダルAIのコンポーネント別、データモダリティ別、企業規模別、最終用途別、地域別の予測が含まれています。

マルチモーダルAI市場の洞察

Lucintelは、ソフトウェアは多数のデータ形式を同時に処理・処理するために特別に構築された相互接続システムを含むため、予測期間中、より大きなセグメントであり続けると予測しています。

この市場の中では、ユーザー体験の向上、コンテンツのパーソナライゼーション、創造的イノベーションへの注目が高まっていることから、メディア・エンターテインメントが引き続き大きなセグメントとなると思われます。

北米は、機械とユーザー間の、より洗練された、人間のようなインタラクションへの需要の高まりにより、予測期間中、最大の地域であり続けると思われます。

よくある質問

Q1.市場規模は：

A1.世界のマルチモーダルAI市場は、2030年までに推定33億米ドルに達すると予想されています。

Q2.市場の成長予測は：

A2.世界のマルチモーダルAI市場は、2024年から2030年にかけて21.3%のCAGRで成長する見込みです。

Q3.市場の成長に影響を与える主な促進要因は：

A3.この市場の主な促進要因は、非構造化データを分析するニーズの高まり、AI技術の継続的な市場開拓、および各業界に合わせたソリューションへのニーズの高まりです。

Q4.市場の主要セグメントは：

A4.世界のマルチモーダルAI市場の将来性は、メディア・エンターテインメント、BFSI、IT・通信、医療、自動車・輸送機械、ゲームの各市場における機会によって有望視されています。

Q5.市場の主要企業は：

A5.主要なマルチモーダルAI企業は以下の通り：

• Aimesoft
• Amazon Web Services
• Google
• IBM
• Jina AI
• Meta
• Microsoft
• OpenAI
• Twelve Labs
• Uniphore Technologies

Q6.今後、最大となる市場セグメントは：

A6.Lucintelは、ソフトウェアは、多数の形式のデータを同時に処理・処理するために特別に構築された相互接続システムを含むため、予測期間中、より大きなセグメントであり続けると予測しています。

Q7.市場において、今後5年間に最大になると予想される地域は：

A7.北米は、機械とユーザー間の、より洗練された、人間のようなインタラクションへの需要が高まっているため、予測期間中も最大の地域であり続ける。

Q8.レポートのカスタマイズは可能か：

A8.はい、Lucintelは追加費用なしで10%のカスタマイズを提供します。

目次

第1章 エグゼクティブサマリー

第2章 世界マルチモーダルAI市場：市場力学

• イントロダクション、背景、分類
• サプライチェーン
• 業界の促進要因と課題

第3章 2018年から2030年までの市場動向と予測分析

• マクロ経済動向（2018～2023年）と予測（2024～2030年）
• 世界のマルチモーダルAI市場の動向（2018-2023）と予測（2024-2030）
• コンポーネント別世界マルチモーダルAI市場
  • ソフトウェア
  • サービス
• データモダリティ別の世界マルチモーダルAI市場
  • 画像データ
  • テキストデータ
  • 音声データ
  • ビデオとオーディオデータ
• 企業規模別世界マルチモーダルAI市場
  • 大企業
  • 中小企業
• 最終用途別世界マルチモーダルAI市場
  • メディア・エンターテインメント
  • BFSI
  • IT・通信
  • 医療
  • 自動車・輸送機械
  • ゲーム
  • その他

第4章 2018年から2030年までの地域別市場動向と予測分析

• 地域別世界マルチモーダルAI市場
• 北米のマルチモーダルAI市場
• 欧州のマルチモーダルAI市場
• アジア太平洋マルチモーダルAI市場
• その他地域マルチモーダルAI市場

第5章 競合分析

• 製品ポートフォリオ分析
• 業務統合
• ポーターのファイブフォース分析

第6章 成長機会と戦略分析

• 成長機会分析
  • 世界マルチモーダルAI市場におけるコンポーネント別の成長機会
  • データモダリティ別の世界マルチモーダルAI市場の成長機会
  • 企業規模別の世界マルチモーダルAI市場の成長機会
  • 最終用途別世界マルチモーダルAI市場の成長機会
  • 地域別の世界マルチモーダルAI市場の成長機会
• 世界のマルチモーダルAI市場の新たな動向
• 戦略分析
  • 新製品開発
  • 世界のマルチモーダルAI市場のキャパシティ拡大
  • 世界マルチモーダルAI市場における合併、買収、合弁事業
  • 認証とライセンシング

第7章 主要企業の企業プロファイル

• Aimesoft
• Amazon Web Services
• Google
• IBM
• Jina AI
• Meta
• Microsoft
• OpenAI
• Twelve Labs
• Uniphore Technologies

Multimodal AI Trends and Forecast

The future of the global multimodal AI market looks promising with opportunities in the media & entertainment, BFSI, IT & telecommunication, healthcare, automotive & transportation, and gaming markets. The global multimodal AI market is expected to reach an estimated $3.3 billion by 2030 with a CAGR of 21.3% from 2024 to 2030. The major drivers for this market are growing need to analyze unstructured data, ongoing development of AI technology, as well as, rising need for solutions that are tailored to individual industries.

A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.

Multimodal AI by Segment

The study includes a forecast for the global multimodal AI by component, data modality, enterprise size, end use, and region.

Multimodal AI Market by Component [Shipment Analysis by Value from 2018 to 2030]:

• Software
• Service

Multimodal AI Market by Data Modality [Shipment Analysis by Value from 2018 to 2030]:

• Image Data
• Text Data
• Speech & Voice Data
• Video & Audio Data

Multimodal AI Market by Enterprise Size [Shipment Analysis by Value from 2018 to 2030]:

• Large Enterprise
• SMEs

Multimodal AI Market by End Use [Shipment Analysis by Value from 2018 to 2030]:

• Media & Entertainment
• BFSI
• IT & Telecommunication
• Healthcare
• Automotive & Transportation
• Gaming
• Others

Multimodal AI Market by Region [Shipment Analysis by Value from 2018 to 2030]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

List of Multimodal AI Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies multimodal AI companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the multimodal AI companies profiled in this report include-

• Aimesoft
• Amazon Web Services
• Google
• IBM
• Jina AI
• Meta
• Microsoft
• OpenAI
• Twelve Labs
• Uniphore Technologies

Multimodal AI Market Insights

Lucintel forecasts that software will remain larger segment over the forecast period because it includes interconnected systems specially built to concurrently handle and process numerous forms of data.

Within this market, media & entertainment will remain larger segment due to rising focus on enhancing user experiences, content personalization, and creative innovation.

North America will remain the largest region over the forecast period due to increasing demand for more sophisticated and human-like interactions between machines and users.

Features of the Global Multimodal AI Market

Market Size Estimates: Multimodal AI market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Multimodal AI market size by component, data modality, enterprise size, end use, and region in terms of value ($B).

Regional Analysis: Multimodal AI market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different component, data modality, enterprise size, end use, and regions for the multimodal AI market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the multimodal AI market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q1. What is the multimodal AI market size?

Answer: The global multimodal AI market is expected to reach an estimated $3.3 billion by 2030.

Q2. What is the growth forecast for multimodal AI market?

Answer: The global multimodal AI market is expected to grow with a CAGR of 21.3% from 2024 to 2030.

Q3. What are the major drivers influencing the growth of the multimodal AI market?

Answer: The major drivers for this market are growing need to analyze unstructured data, ongoing development of AI technology, as well as, rising need for solutions that are tailored to individual industries.

Q4. What are the major segments for multimodal AI market?

Answer: The future of the global multimodal AI market looks promising with opportunities in the media & entertainment, BFSI, IT & telecommunication, healthcare, automotive & transportation, and gaming markets.

Q5. Who are the key multimodal AI market companies?

Answer: Some of the key multimodal AI companies are as follows:

• Aimesoft
• Amazon Web Services
• Google
• IBM
• Jina AI
• Meta
• Microsoft
• OpenAI
• Twelve Labs
• Uniphore Technologies

Q6. Which multimodal AI market segment will be the largest in future?

Answer: Lucintel forecasts that software will remain larger segment over the forecast period because it includes interconnected systems specially built to concurrently handle and process numerous forms of data.

Q7. In multimodal AI market, which region is expected to be the largest in next 5 years?

Answer: North America will remain the largest region over the forecast period due to increasing demand for more sophisticated and human-like interactions between machines and users.

Q.8 Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the multimodal AI market by component (software and service), data modality (image data, text data, speech & voice data, and video & audio data), enterprise size (large enterprise and SMEs), end use (media & entertainment, BFSI, IT & telecommunication, healthcare, automotive & transportation, gaming, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Multimodal AI Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

• 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
• 3.2. Global Multimodal AI Market Trends (2018-2023) and Forecast (2024-2030)
• 3.3: Global Multimodal AI Market by Component
  • 3.3.1: Software
  • 3.3.2: Service
• 3.4: Global Multimodal AI Market by Data Modality
  • 3.4.1: Image Data
  • 3.4.2: Text Data
  • 3.4.3: Speech & Voice Data
  • 3.4.4: Video & Audio Data
• 3.5: Global Multimodal AI Market by Enterprise Size
  • 3.5.1: Large Enterprise
  • 3.5.2: SMEs
• 3.6: Global Multimodal AI Market by End Use
  • 3.6.1: Media & Entertainment
  • 3.6.2: BFSI
  • 3.6.3: IT & Telecommunication
  • 3.6.4: Healthcare
  • 3.6.5: Automotive & Transportation
  • 3.6.6: Gaming
  • 3.6.7: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

• 4.1: Global Multimodal AI Market by Region
• 4.2: North American Multimodal AI Market
  • 4.2.1: North American Multimodal AI Market by Component: Software and Service
  • 4.2.2: North American Multimodal AI Market by End Use: Media & Entertainment, BFSI, IT & Telecommunication, Healthcare, Automotive & Transportation, Gaming, and Others
• 4.3: European Multimodal AI Market
  • 4.3.1: European Multimodal AI Market by Component: Software and Service
  • 4.3.2: European Multimodal AI Market by End Use: Media & Entertainment, BFSI, IT & Telecommunication, Healthcare, Automotive & Transportation, Gaming, and Others
• 4.4: APAC Multimodal AI Market
  • 4.4.1: APAC Multimodal AI Market by Component: Software and Service
  • 4.4.2: APAC Multimodal AI Market by End Use: Media & Entertainment, BFSI, IT & Telecommunication, Healthcare, Automotive & Transportation, Gaming, and Others
• 4.5: ROW Multimodal AI Market
  • 4.5.1: ROW Multimodal AI Market by Component: Software and Service
  • 4.5.2: ROW Multimodal AI Market by End Use: Media & Entertainment, BFSI, IT & Telecommunication, Healthcare, Automotive & Transportation, Gaming, and Others

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global Multimodal AI Market by Component
  • 6.1.2: Growth Opportunities for the Global Multimodal AI Market by Data Modality
  • 6.1.3: Growth Opportunities for the Global Multimodal AI Market by Enterprise Size
  • 6.1.4: Growth Opportunities for the Global Multimodal AI Market by End Use
  • 6.1.5: Growth Opportunities for the Global Multimodal AI Market by Region
• 6.2: Emerging Trends in the Global Multimodal AI Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global Multimodal AI Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Multimodal AI Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: Aimesoft
• 7.2: Amazon Web Services
• 7.3: Google
• 7.4: IBM
• 7.5: Jina AI
• 7.6: Meta
• 7.7: Microsoft
• 7.8: OpenAI
• 7.9: Twelve Labs
• 7.10: Uniphore Technologies