市场调查报告书
商品编码
1500355
多模态人工智慧市场:按产品、按资料模式、按技术、按类型、按组织规模、按产业 - 2024-2030 年全球预测Multimodal Al Market by Offering (Services, Solutions), Data Modality (Audio, Numerical Data, Speech), Technology, Type, Organization Size, Vertical - Global Forecast 2024-2030 |
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预计2023年多模态人工智慧市场规模为16.3亿美元,预计2024年将达18.8亿美元,2030年将达46.4亿美元,复合年增长率为16.10%。
多模态人工智慧(AI)处于技术创新的前沿,利用文字、图像、音讯和影片等多种输入来提高机器的理解和决策能力。透过交叉各种资料,我们试图简化与自动驾驶、医疗保健和安全等各领域的使用者之间的互动。深度学习的进步和运算能力的增强为该行业的快速发展奠定了基础,公司采用这些人工智慧系统来提高客户参与和业务效率。儘管多模态人工智慧已出现在市场上,但它仍面临着资料整合复杂性和隐私问题等挑战。但这些障碍也提供了成长和改进的机会。对先进的情境感知人工智慧系统的需求预计将增加,从而刺激该行业的经济扩张。市场格局中散布着各种主要参与者,从大型跨国公司到灵活的新兴企业,所有这些都促成了高度竞争的环境。这些参与者不断寻求创新技术并申请专利,以维持其市场地位或扰乱市场动态。学术机构、研究机构和产业参与者之间的合作正在帮助加快前沿多模态人工智慧应用商业化的创新步伐。
主要市场统计 | |
---|---|
基准年[2023] | 16.3亿美元 |
预测年份 [2024] | 18.8亿美元 |
预测年份 [2030] | 46.4亿美元 |
复合年增长率(%) | 16.10% |
区域洞察
在美洲,特别是在美国,先进的技术基础设施和对人工智慧新兴企业的大力投资正在推动多模态人工智慧创新的领导地位。该地区正在积极采用该技术来改善医疗保健、汽车、零售和客户服务领域的流程和用户参与。欧洲的特点是注重人工智慧道德和 GDPR 下严格的资料保护。儘管如此,金融和医疗保健等行业越来越多地采用多模态技术。欧盟鼓励人工智慧的进步,重点是确保其可信度和透明度。在快速数位化和不断增长的精通技术的人口的推动下,亚太地区是成长最快的地区。中国、日本、韩国和印度处于领先地位,中国的目标是到 2030 年在人工智慧领域占据世界主导地位。该地区的投资范围从消费性电子产品延伸到城市发展和製造业。儘管处于早期阶段,拉丁美洲和中东/非洲在网路存取改善和企业数位转型的推动下显示出巨大的成长潜力。智慧城市计划和电子化政府作为多模态人工智慧的应用领域特别受关注,显示其适合应对区域挑战和增强公共服务。
FPNV定位矩阵
FPNV定位矩阵对于评估多模态Al市场供应商的市场定位至关重要。此矩阵提供了对供应商的全面评估,并检验了与业务策略和产品满意度相关的关键指标。这种详细的评估使用户能够根据自己的要求做出明智的决定。根据评估结果,供应商被分为代表其成功程度的四个像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可对多模态人工智慧市场供应商的现状进行深入而详细的评估。透过仔细比较和分析供应商的贡献,您可以更深入地了解每个供应商的绩效以及他们在争夺市场占有率时面临的挑战。这些贡献包括整体收益、客户群和其他重要指标。此外,该分析还提供了对该领域竞争性质的宝贵见解,包括累积研究期、片段化优势和合併特征等因素。有了这些详细信息,供应商可以做出更明智的决策并製定有效的策略,以在市场竞争中保持领先地位。
策略分析与建议
策略分析对于寻求在全球市场站稳脚跟的组织至关重要。对目前在多模态人工智慧市场中的地位进行全面评估,使公司能够做出符合其长期愿望的明智决策。此关键评估涉及对组织的资源、能力和整体绩效进行彻底分析,以确定核心优势和需要改进的领域。
[190 Pages Report] The Multimodal Al Market size was estimated at USD 1.63 billion in 2023 and expected to reach USD 1.88 billion in 2024, at a CAGR 16.10% to reach USD 4.64 billion by 2030.
Multimodal Artificial Intelligence (AI) represents a forefront of innovation, utilizing diverse inputs such as text, images, audio, and video to enrich machine comprehension and decision-making capabilities. This intersection of various data forms seeks to streamline user interaction across a spectrum of sectors, including autonomous driving, healthcare, and security. Advancements in deep learning and an increase in computational prowess have set the stage for the industry's rapid advancement, with businesses adopting these AI systems to enhance customer engagement and operational efficiency. Despite its market presence, multimodal AI contends with challenges such as data integration complexity and privacy concerns. Yet, these obstacles also offer opportunities for growth and refinement. The demand for sophisticated, contextually aware AI systems is projected to increase, fueling economic expansion in the sector. The market landscape is dotted with a range of key players from large multinational corporations to nimble startups, all contributing to a highly competitive environment. These players are continuously seeking to innovate and patent novel technologies to hold their standing or disrupt the market dynamics. Collaboration between academic institutions, research labs, and industry players has been instrumental in driving the pace of innovation to commercialize cutting-edge multimodal AI applications.
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 1.63 billion |
Estimated Year [2024] | USD 1.88 billion |
Forecast Year [2030] | USD 4.64 billion |
CAGR (%) | 16.10% |
Regional Insights
In the Americas, particularly the US, advanced technological infrastructure and strong investment in AI startups facilitate leadership in multimodal AI innovations. This region demonstrates keen adoption in healthcare, automotive, retail, and customer service sectors to improve processes and user engagement. Europe distinguishes itself with a focus on AI ethics and strict data protections under the GDPR. Nonetheless, industries such as finance and healthcare are progressively deploying multimodal technologies. The EU encourages AI advancement with an emphasis on ensuring its trustworthiness and transparency. Experiencing the swiftest growth, the Asia-Pacific region is propelled by rapid digitalization and an increasingly tech-savvy population. China, Japan, South Korea, and India lead the charge, with China aiming for global AI supremacy by 2030. Investments in this region reach beyond consumer electronics, innovating in urban development and manufacturing. Although in earlier stages, Latin America and the Middle East & Africa indicate significant growth potential, driven by increased internet accessibility and the digital transformation of businesses. Smart city projects and e-governance are particularly notable areas for multimodal AI application, indicating its suitability to address regional challenges and enhance public services.
Market Insights
The market dynamics represent an ever-changing landscape of the Multimodal Al Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Multimodal Al Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Multimodal Al Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
Innovative Partnership between Tempus and Bristol Myers Squibb to Accelerate Cancer Research by Multimodal AI Approaches
Tempus announced a multi-year research collaboration with Bristol Myers Squibb. The two companies aim to work together to identify new cancer targets and validate them faster and with higher confidence using multimodal datasets and patient-derived disease models in specific cancer disease areas. By combining Tempus' multimodal data, biological modeling, and machine learning approaches with Bristol Myers Squibb's discovery expertise and research and development capabilities, the collaboration aims to improve the lives of patients battling cancer. [Published On: 2023-11-08]
Introducing SeamlessM4T: A Revolutionary Multilingual and Multimodal AI Translation Technology
Meta introduced SeamlessM4T, an all-in-one multimodal and multilingual AI translation model that allows people to communicate effortlessly through speech and text across different languages. SeamlessM4T supports speech recognition for nearly 100 languages, speech-to-text translation for nearly 100 input and output languages, text-to-text translation for nearly 100 languages, and text-to-speech translation supporting nearly 100 input languages and 35 (including English) output languages. [Published On: 2023-08-22]
Runway Secures USD 141 Million for Multi-Modal AI Expansion and Innovation
Runway announced it had raised a USD 141 million extension to its Series C from Google, NVIDIA, Salesforce Ventures, and other existing investors. The company will leverage the new financing to further expand and scale in-house research efforts to bring advanced multi-modal AI systems to end-users while building intuitive product experiences. [Published On: 2023-06-29]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Multimodal Al Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the Multimodal Al Market, highlighting leading vendors and their innovative profiles. These include Aimesoft, Amazon Web Services, Inc., Broadcom Inc., C3.ai, Inc., Cisco Systems, Inc., Emotech AI, Google LLC by Alphabet Inc., Habana Labs Ltd., Headroom, Inc., Intel Corporation, International Business Machines Corporation, Jina AI GmbH, Meta Platforms, Inc., Microsoft Corporation, Mobius Labs GmbH, NEC Corporation, Newsbridge SAS, NTT DATA Corporation, NVIDIA Corporation, OpenAI OpCo, LLC, Openstream Inc., Oracle Corporation, Owkin, Inc., Reka AI, Inc., Runway AI, Inc., Salesforce, Inc., SAP SE, SAS Institute Inc., Twelve Labs Inc., and Uniphore Technologies Inc..
Market Segmentation & Coverage