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市场调查报告书
商品编码
1538322

多模态人工智慧市场报告：2030 年趋势、预测与竞争分析

Multimodal AI Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3个工作天内

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简介目录

多模态人工智慧趋势和预测

预计到 2030 年，全球多模态人工智慧市场将达到 33 亿美元，2024 年至 2030 年复合年增长率为 21.3%。该市场的主要驱动力是分析非结构化资料的需求不断增长、人工智慧技术的持续发展以及针对每个行业的客製化解决方案的需求不断增长。全球多模态人工智慧市场的未来看起来充满希望，媒体和娱乐、BFSI、IT 和通讯、医疗、汽车和交通以及游戏市场都充满机会。

多模态人工智慧（按细分市场）

该研究包括按组件、资料模式、公司规模、最终用途和地区对全球多模态人工智慧的预测。

多模态人工智慧市场洞察

Lucintel 预测，在预测期内，软体将继续占据更大的份额，因为它涉及专门为同时处理和处理多种资料格式而建构的互连繫统。

在这个市场中，由于越来越注重改善用户体验、内容个人化和创造性创新，媒体和娱乐将继续成为一个重要的细分市场。

由于机器和使用者之间对更复杂、类人互动的需求不断增长，北美在预测期内可能仍然是最大的地区。

常问问题

Q1.市场规模为：

A1. 到 2030 年，全球多模态人工智慧市场预计将达到 33 亿美元。

Q2.市场成长预测是多少：

A2. 2024年至2030年，全球多模态人工智慧市场预计将以21.3%的复合年增长率成长。

Q3.影响市场成长的主要驱动因素是：

A3. 该市场的主要驱动力是分析非结构化资料的需求不断增长、人工智慧技术的持续市场开拓以及针对每个行业的客製化解决方案的需求不断增长。

Q4.市场的主要细分市场是：

A4. 全球多模态人工智慧市场未来性广阔，媒体和娱乐、BFSI、IT 和通讯、医疗、汽车和交通以及游戏市场充满机会。

Q5.市场的主要企业是：

A5. 主要的多模态人工智慧公司是：

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

Q6.未来最大的细分市场是什么？

A6.Lucintel 预测，在预测期内，软体将继续占据更大的份额，因为它涉及专门为同时处理和处理多种格式的资料而建构的互连繫统。

Q7. 未来五年预计哪些地区的市场成长最大？

A7. 由于机器和使用者之间对更复杂、类人互动的需求不断增加，北美将在预测期内继续成为最大的地区。

Q8. 可以客製化报告吗？

A8. 是的，Lucintel 提供 10% 的客製化服务，无需额外付费。

目录

第一章执行摘要

第二章全球多模态人工智慧市场：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业驱动因素与挑战

第三章 2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球多模态人工智慧市场趋势（2018-2023）与预测（2024-2030）
  • 按组件分類的全球多模态人工智慧市场
    • 软体
    • 服务
  • 按资料模态分類的全球多模态人工智慧市场
    • 影像资料
    • 文字资料
    • 音讯资料
    • 视讯和音讯资料
  • 按公司规模分類的全球多模态人工智慧市场
    • 大公司
    • 小型企业
  • 按最终用途分類的全球多模态人工智慧市场
    • 媒体娱乐
    • BFSI
    • 资讯科技/通讯
    • 医疗保健
    • 汽车/运输机械
    • 游戏
    • 其他的

第四章 2018-2030年区域市场趋势及预测分析

  • 按地区分類的全球多模态人工智慧市场
  • 北美多模态人工智慧市场
  • 欧洲多模态人工智慧市场
  • 亚太多模态人工智慧市场
  • 其他区域多模态人工智慧市场

第五章 竞争分析

  • 产品系列分析
  • 业务整合
  • 波特五力分析

第六章 成长机会与策略分析

  • 成长机会分析
    • 全球多模态人工智慧市场的成长机会（按组成部分）
    • 按资料模式分類的全球多模态人工智慧市场成长机会
    • 按公司规模分類的全球多模态人工智慧市场成长机会
    • 全球多模态人工智慧市场成长机会（按最终用途）
    • 按地区分類的全球多模态人工智慧市场成长机会
  • 全球多模态人工智慧市场新趋势
  • 战略分析
    • 新产品开发
    • 扩大全球多模态人工智慧市场容量
    • 全球多模态人工智慧市场的合併、收购和合资企业
    • 认证和许可

第七章主要企业概况

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

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