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市場調查報告書
商品編碼
1500578
視覺變壓器市場:按報價、應用、產業分類 - 2024-2030 年全球預測Vision Transformers Market by Offering (Professional Service, Solution), Application (Image Captioning, Image Classification, Image Segmentation), Vertical - Global Forecast 2024-2030 |
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預計2023年Vision Transformer市場規模為4.0836億美元,預計2024年將達到5.0727億美元,2030年將達到19.0127億美元,複合年成長率為24.57%。
VisionTrans 是一種基於人工智慧的模型,用於分析和解釋圖像和影片等視覺資料。在製造領域,視覺變壓器用於品管。在醫療保健領域,它用於診斷成像和預測建模。對於持續產生視覺資料並需要即時分析的交通解決方案和安全系統來說,它也至關重要。需要解釋視覺資料的技術的進步,例如自動駕駛和監控系統,正在加速視覺轉換器的使用。然而,監管挑戰和隱私問題可能會阻礙視覺轉換器在最終使用領域的使用。人工智慧和機器學習領域的持續研究和創新可以提高視覺轉換器的性能和有效性,並將其應用擴展到全球不同的最終用途領域。
主要市場統計 | |
---|---|
基準年[2023] | 40836萬美元 |
預測年份 [2024] | 5.0727 億美元 |
預測年份 [2030] | 1,901,270,000 美元 |
複合年成長率(%) | 24.57% |
區域洞察
隨著消費者專注於安全、房地產和零售,視覺轉換器市場在美洲不斷發展,推動了視覺轉換器的研究和開發。由於監控、醫療保健和自動駕駛方面的技術進步和增強,亞太地區成為視覺變壓器市場的新興地區。由於醫療保健、監控系統和自動駕駛系統中先進技術的部署,歐洲、中東和非洲地區的視覺轉換器市場正在顯著成長。在中東,我們專注於將視覺變壓器用於石油和天然氣行業的檢查和安全目的。同時,非洲國家正在探索使用視覺轉換器進行農業和環境監測。此外,視覺轉換器的技術進步預計將提高業務效率並促進其在世界各地最終使用領域的使用。
FPNV定位矩陣
FPNV 定位矩陣對於評估供應商在 Vision Transformer 市場的定位至關重要。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,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,可以對視覺變壓器市場中供應商的當前狀態進行深入而詳細的評估。對供應商貢獻的徹底比較和分析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。對目前在視覺轉換器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。
[189 Pages Report] The Vision Transformers Market size was estimated at USD 408.36 million in 2023 and expected to reach USD 507.27 million in 2024, at a CAGR 24.57% to reach USD 1,901.27 million by 2030.
Vision transformers are AI-based models for analyzing and interpreting visual data such as images or videos. In the manufacturing sector, vision transformers are utilized for quality control. Healthcare applications include diagnostic imaging and predictive modeling. They are also essential in traffic solutions and security systems where visual data is continuously generated and needs real-time analysis. Advancements in technology that require visual data interpretation, such as autonomous driving and surveillance systems, are accelerating the use of vision transformers. However, regulatory challenges and privacy concerns may impede the use of vision transformers by the end-use sectors. Continuous research and innovation in AI and machine learning can improve the performance and efficacy of vision transformers and expand their applications across diverse end-use sectors globally.
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 408.36 million |
Estimated Year [2024] | USD 507.27 million |
Forecast Year [2030] | USD 1,901.27 million |
CAGR (%) | 24.57% |
Regional Insights
The vision transformers market is evolving in the Americas owing to the focus of consumers on security, real estate, and retail, energizing R&D in Vision Transformers. The Asia Pacific region represents a developing vision transformer market due to technological advancement and enhancement in surveillance, healthcare, and autonomous driving. The EMEA region is experiencing tremendous growth in the vision transformers market owing to the deployment of advanced technologies in healthcare, surveillance systems, and autonomous vehicle systems. The Middle East is focusing on utilizing vision transformers for oil and gas industry inspections and security purposes. Meanwhile, African countries are exploring using vision transformers in agriculture and environmental surveillance. Besides, technological advancements in vision transformers can enhance operational efficiency and are anticipated to propel their use across end-use sectors globally.
Market Insights
The market dynamics represent an ever-changing landscape of the Vision Transformers 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 Vision Transformers 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 Vision Transformers 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
Researchers from China Introduce DualToken-ViT: A Fusion of CNNs and Vision Transformers for Enhanced Image Processing Efficiency and Accuracy
Researchers from China introduced DualToken VIT, a cutting-edge fusion of Convolutional Neural Networks (CNNs) and Vision Transformers (ViT). This innovative approach aims to enhance both the efficiency and accuracy of image processing. The remarkable feature of DualToken VIT is its ability to achieve competitive performance compared to standard CNNs, all while utilizing fewer parameters for training. This groundbreaking development showcases the potential for further advancements in computer vision and sets a new benchmark for efficient and accurate image processing. [Published On: 2023-10-01]
Quadric Announces Vision Transformer Support for Chimera GPNPUs
Quadric announced support for Vision Transformers on Chimera GPNPUs, a significant development in artificial intelligence. This combination of technologies promises to enhance the performance and accuracy of AI applications, opening up exciting possibilities for developing powerful solutions with real-time response times in various industries. This breakthrough can potentially revolutionize how we approach AI and pave the way for more efficient and effective AI-driven solutions. [Published On: 2023-06-20]
Google Scales Vision Transformers to 22 Billion Parameters
Google scaled its Vision Transformers to an impressive 22 billion parameters. This significant achievement holds the potential for enhancing various aspects of image and video analysis, natural language understanding, and automating tedious tasks in computer vision. With this remarkable scale and sophistication, Vision Transformers can now achieve greater accuracy in recognizing objects, people, activities, and emotions. [Published On: 2023-04-03]
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 Vision Transformers 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 Vision Transformers Market, highlighting leading vendors and their innovative profiles. These include Amazon Web Services, Inc., Apple Inc., Cognex Corporation, Delta Electronics, Inc., Denso Corporation, General Electric Company, Google LLC by Alphabet Inc., Infineon Technologies AG, Intel Corporation, International Business Machines Corporation, MediaTek Inc., Meta Platforms, Inc., Microsoft Corporation, NVIDIA Corporation, Omron Corporation, Oracle Corporation, Qualcomm Technologies, Inc., Samsung Electronics, SAS Institute Inc., Teledyne FLIR LLC, and Texas Instruments Incorporated.
Market Segmentation & Coverage