Multimodal AI Market Analysis and Size by 2031
多模态人工智能市场规模预计将从 2023 年的 8.935 亿美元增至 2031 年的 105.502 亿美元。预计 2023-2031 年期间该市场的复合年增长率将达到 36.2%。不断努力提高自动驾驶汽车的性能可能会继续成为市场的主要趋势。
多模式人工智能市场分析
人工智能 (AI) 已成为许多行业改变游戏规则的技术。人工智能的实施为工作场所带来了巨大好处。多模态人工智能模型在蓬勃发展的人工智能市场中获得了巨大的关注。医疗保健行业是多模态人工智能最重要的受益者之一。
多模式人工智能市场概览
Google、Amazon 和 Meta 正在利用 AI 模型的功能,通过利用大型数据集来改进其服务。这些公司正在大力投资开发和实施复杂系统,以改进其产品和服务。Siri、Alexa 和 Google Assistant 等服务依靠多模式 AI 模型来评估语音和文本形式的用户交互,以生成准确的响应并学习后续交互的行为模式。这些 AI 应用程序标志着数字个人助理的新时代,其交互方式越来越像人类。
定制研究以满足您的需求
我们可以优化和定制标准产品无法满足的分析和范围。这种灵活性将帮助您获得业务规划和决策所需的准确信息。
多模式人工智能市场:
复合年增长率(2023 - 2031)36.2%- 2023 年市场规模
8.935 亿美元 - 市场规模 2031 年
105.502 亿美元
市场动态
- 个性化用户体验需求不断增长
- 医疗保健领域的应用激增
- 提高自动驾驶汽车性能的能力
- 媒体和娱乐领域的应用
关键人物;主力;重要一员
- 艾美软件公司
- Alphabet 公司
- 亚马逊网络服务公司
- IBM 公司
- 济纳人工智能有限公司
- Meta Platforms 公司
- 微软公司
- OpenAI有限责任公司
- 十二实验室公司
- Uniphore技术公司
区域概况
- 北美
- 欧洲
- 亚太
- 南美洲和中美洲
- 中东和非洲
市场细分
- 解决方案
- 服务
- 中小企业
- 大型企业
- 音频和视频
- 图像
- 文本
- 汽车和运输
- 金融保险业协会
- 电子商务和零售
- 卫生保健
- 信息技术和电信
- 媒体和娱乐
- 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。
多模式人工智能市场驱动因素和机遇
个性化用户体验需求不断增长推动市场发展
客户在与企业沟通时更喜欢个性化的体验,这促使企业追求完美的客户体验 (CX),以区别于竞争对手。因此,他们选择多模式用户界面 (MUI) 来确保自发且直观的用户交互。为了响应不断变化的消费者偏好,UI/UX 设计师通过结合各种用户输入(包括语音命令、手势检测、触摸交互和打字)来实现自然交互,从而创建实用、个性化且以人为本的用户界面。此外,AI 的应用通过识别需求和参与模式来改善用户体验 (UX)。
使用多模态人工智能,企业可以利用多种数据源,为客户提供更加个性化和有针对性的内容。这反过来又使营销团队能够创建高度定制的活动,包括针对客户的建议和广告。此外,多模态人工智能可以帮助产生更具互动性和吸引力的内容,有助于互动营销、沉浸式产品体验和多媒体丰富的教育资源。由多模态人工智能系统驱动的详细分析和决策过程有助于更全面地掌握市场格局。此外,这项技术对于在快速全球化的背景下打破语言界限至关重要。能够处理和理解多种语言信息的企业可以有效地与具有不同语言偏好的不同受众互动。因此,对个性化体验的不断增长的需求推动了多模态人工智能市场的发展
媒体和娱乐领域的应用创造了巨大的市场机遇
媒体和娱乐行业正在努力满足消费者对个性化内容以及无限选择的 OTT 和流媒体服务的需求。多模态人工智能可以创建和理解多种格式或模式的内容,包括文本、图形、音频和视频。它采用各种人工智能技术,包括自然语言处理(NLP)、计算机视觉、语音识别、机器学习和大型语言模型 (LLM),以多种形式处理数据并发现从众多来源获得的数据组合中出现的新功能。多模态人工智能简化了不同方面,提高了预测准确性,提高了资源利用效率,并提供了增强的用户体验。媒体和娱乐组织可以从多模态人工智能技术中获益匪浅,从而简化业务流程。2024 年,谷歌发布了一款由人工智能驱动的视频生成器 Veo,用于制作时长超过一分钟的视频。根据其声明,Veo 可以制作各种电影和视觉风格的 1080p 清晰度视频。该公司还推出了 Imagen 3,这是其文本到图像生成模型的更新。多模态人工智能可以录制语气、渲染扩展提示中的细节,以及解读自然语言和视觉语义。因此,多模态人工智能在媒体和娱乐领域的应用不断扩大,为多模态人工智能市场创造了大量机会。
多模式人工智能市场报告细分分析
有助于得出多模式人工智能市场分析的关键部分是组件、组织规模、数据类型和最终用途。
- 根据组件,多模态 AI 市场分为解决方案和服务。解决方案部分在 2023 年占据了更大的市场份额。
- 根据组织规模,市场分为中小型企业和大型企业。大型企业在 2023 年占据了更大的市场份额。
- 根据数据类型,多模态 AI 市场分为音频和视频、图像和文本。音频和视频部分在 2023 年占据了最大的市场份额。
- 根据最终用途,多模式 AI 市场细分为汽车和运输、BFSI、电子商务和零售、医疗保健、IT 和电信、媒体和娱乐等。BFSI 部门在 2023 年占据了最大的市场份额。
按地区划分的多模式人工智能市场份额分析
多模态人工智能市场报告的地理范围主要分为五个地区:北美、亚太地区、欧洲、中东和非洲以及南美和中美洲。北美在 2023 年占据了相当大的市场份额。北美多模态人工智能市场细分为美国、加拿大和墨西哥。这些国家的交通运输和汽车行业正在显着增长。汽车制造商正在利用多模态人工智能来增强车辆用户的安全性、便利性和驾驶体验。多模态人工智能处理来自摄像头、激光雷达、雷达和其他传感器的数据,以导航道路、检测障碍物并做出实时驾驶决策。世界上一些最大的汽车公司已经在北美建立了各种工厂,生产自动驾驶乘用车、卡车、公共汽车和其他非公路车辆。2023 年 4 月,梅赛德斯成为第一家在美国销售具有先进自动驾驶功能的汽车的汽车制造商;该公司声称该车辆在技术上不需要驾驶员密切注意路况。截至 2023 年 4 月,梅赛德斯在加利福尼亚州有 65 辆搭载 Drive Pilot 自动驾驶软件的汽车在售,其中 1 辆已经售出。配备 Drive Pilot 的梅赛德斯汽车也在内华达州出售。此外,2024 年 3 月,自动驾驶技术公司 Waymo 开始在奥斯汀测试其全自动驾驶汽车。同样,2023 年 7 月,大众宣布计划在 2026 年前在德克萨斯州奥斯汀推出用于叫车和货物配送服务的自动驾驶汽车或无人驾驶汽车。因此,自动驾驶汽车的此类开发和推出正在推动北美汽车和运输行业对多模式人工智能的需求。
多模式人工智能市场报告范围
报告属性 | 细节 |
---|---|
2023 年的市场规模 | 8.935 亿美元 |
2031 年市场规模 | 105.5020亿美元 |
全球复合年增长率(2023 - 2031) | 36.2% |
历史数据 | 2021-2022 |
预测期 | 2024-2031 |
涵盖的领域 | 按组件
|
覆盖地区和国家 | 北美
|
市场领导者和主要公司简介 |
|
- 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。
多模式人工智能市场新闻和最新发展
通过收集一手和二手研究后的定性和定量数据来评估多模态人工智能市场,其中包括重要的公司出版物、协会数据和数据库。以下列出了多模态人工智能市场的一些发展:
- Alphabet Inc. 公司推出了几种可帮助完成不同任务的新 AI 模型,还对现有模型进行了一些改进。该公司还宣布了其 AI 模型 Veo 和 Imagen 3,这些模型旨在帮助生成视频和图像。多模式 AI 可以捕捉长提示中的音调和渲染细节,捕捉场景的音调,并理解自然语言和视觉语义。(来源:Alphabet Inc.,新闻稿,2024 年 5 月)
- 亚马逊推出了 Titan Multimodal Embeddings 基础模型,该模型可在 Amazon Bedrock 中使用。Amazon Titan Multimodal Embeddings 可帮助客户为最终用户提供更准确、更符合语境的多模态搜索、推荐和个性化体验。(来源:亚马逊,新闻稿,2023 年 11 月)
多模式人工智能市场报告覆盖范围和交付成果
“多模式 AI 市场规模和预测(2021-2031)”报告对以下领域进行了详细的市场分析:
- 范围内涵盖的所有关键细分市场的全球、区域和国家层面的多模式人工智能市场规模和预测
- 多模式人工智能市场趋势,以及驱动因素、限制因素和关键机遇等市场动态
- 详细的 PEST 和 SWOT 分析
- 多模式人工智能市场分析涵盖关键市场趋势、全球和区域框架、主要参与者、法规和最新市场发展
- 行业格局和竞争分析,涵盖市场集中度、热图分析、知名参与者以及多模式人工智能市场的最新发展
- 详细的公司简介
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
Frequently Asked Questions
The global multimodal AI market is expected to reach US$ 10,550.19 million by 2031.
The global multimodal AI market was estimated to be US$ 893.47 million in 2023 and is expected to grow at a CAGR of 36.2 % during the forecast period 2023 - 2030.
The key players holding majority shares in the global multimodal AI market are Amazon Web Services Inc.; International Business Machine Corp; NEC Corp; Microsoft Corp; and Alphabet Inc.
Rising demand for personalised user experience and surging application in healthcare sector are the major factors that propel the global multimodal AI market.
The incremental growth expected to be recorded for the global multimodal AI market during the forecast period is US$ 9656.72 million.
Ability to improve self-driving car performance, which is anticipated to play a significant role in the global multimodal AI market in the coming years.
The List of Companies - Multimodal AI Market
- Alphabet Inc.
- Amazon Web Services Inc.
- International Business Machine Corp
- NEC Corp
- Microsoft Corp
- Jiva.ai. LTD
- Aimesoft
- Jina AI GmbH
- Reka AI, Inc.
- Openstream Inc.s
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.