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市場調查報告書
商品編碼
1500355
多模態人工智慧市場:按產品、按資料模式、按技術、按類型、按組織規模、按產業 - 2024-2030 年全球預測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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預計2023年多模態人工智慧市場規模為16.3億美元,預計2024年將達18.8億美元,2030年將達46.4億美元,複合年成長率為16.10%。
多模態人工智慧(AI)處於技術創新的前沿,利用文字、圖像、音訊和影片等多種輸入來提高機器的理解和決策能力。透過交叉各種資料,我們試圖簡化與自動駕駛、醫療保健和安全等各領域的使用者之間的互動。深度學習的進步和運算能力的增強為該行業的快速發展奠定了基礎,公司採用這些人工智慧系統來提高客戶參與和業務效率。儘管多模態人工智慧已出現在市場上,但它仍面臨著資料整合複雜性和隱私問題等挑戰。但這些障礙也提供了成長和改進的機會。對先進的情境感知人工智慧系統的需求預計將增加,從而刺激該行業的經濟擴張。市場格局中散佈著各種主要參與者,從大型跨國公司到靈活的新興企業,所有這些都促成了高度競爭的環境。這些參與者不斷尋求創新技術並申請專利,以維持其市場地位或擾亂市場動態。學術機構、研究機構和產業參與者之間的合作正在幫助加快前沿多模態人工智慧應用商業化的創新步伐。
主要市場統計 | |
---|---|
基準年[2023] | 16.3億美元 |
預測年份 [2024] | 18.8億美元 |
預測年份 [2030] | 46.4億美元 |
複合年成長率(%) | 16.10% |
區域洞察
在美洲,特別是在美國,先進的技術基礎設施和對人工智慧新興企業的大力投資正在推動多模態人工智慧創新的領導地位。該地區正在積極採用該技術來改善醫療保健、汽車、零售和客戶服務領域的流程和用戶參與。歐洲的特點是注重人工智慧道德和 GDPR 下嚴格的資料保護。儘管如此,金融和醫療保健等行業擴大採用多模態技術。歐盟鼓勵人工智慧的進步,重點是確保其可信度和透明度。在快速數位化和不斷成長的精通技術的人口的推動下,亞太地區是成長最快的地區。中國、日本、韓國和印度處於領先地位,中國的目標是到 2030 年在人工智慧領域佔據世界主導地位。該地區的投資範圍從消費性電子產品延伸到城市發展和製造業。儘管處於早期階段,拉丁美洲和中東/非洲在網路存取改善和企業數位轉型的推動下顯示出巨大的成長潛力。智慧城市計劃和電子化政府作為多模態人工智慧的應用領域特別受關注,顯示其適合應對區域挑戰和增強公共服務。
FPNV定位矩陣
FPNV定位矩陣對於評估多模態Al市場供應商的市場定位至關重要。此矩陣提供了對供應商的全面評估,並檢驗了與業務策略和產品滿意度相關的關鍵指標。這種詳細的評估使用戶能夠根據自己的要求做出明智的決定。根據評估結果,供應商被分為代表其成功程度的四個像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一種綜合工具,可對多模態人工智慧市場供應商的現狀進行深入而詳細的評估。透過仔細比較和分析供應商的貢獻,您可以更深入地了解每個供應商的績效以及他們在爭奪市場佔有率時面臨的挑戰。這些貢獻包括整體收益、客戶群和其他重要指標。此外,該分析還提供了對該領域競爭性質的寶貴見解,包括累積研究期、片段化優勢和合併特徵等因素。有了這些詳細資訊,供應商可以做出更明智的決策並製定有效的策略,以在市場競爭中保持領先地位。
策略分析與建議
策略分析對於尋求在全球市場站穩腳跟的組織至關重要。對目前在多模態人工智慧市場中的地位進行全面評估,使公司能夠做出符合其長期願望的明智決策。此關鍵評估涉及對組織的資源、能力和整體績效進行徹底分析,以確定核心優勢和需要改進的領域。
[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 | |
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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