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市场调查报告书
商品编码
1500578
视觉变压器市场:按报价、应用、产业划分 - 2024-2030 年全球预测Vision Transformers Market by Offering (Professional Service, Solution), Application (Image Captioning, Image Classification, Image Segmentation), Vertical - Global Forecast 2024-2030 |
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预计2023年Vision Transformer市场规模为4.0836亿美元,预计2024年将达到5.0727亿美元,2030年将达到19.0127亿美元,复合年增长率为24.57%。
VisionTrans 是一种基于人工智慧的模型,用于分析和解释图像和影片等视觉资料。在製造领域,视觉变压器用于品管。在医疗保健领域,它用于诊断成像和预测建模。对于持续产生视觉资料并需要即时分析的交通解决方案和安全系统来说,它也至关重要。需要解释视觉资料的技术的进步,例如自动驾驶和监控系统,正在加速视觉转换器的使用。然而,监管挑战和隐私问题可能会阻碍视觉转换器在最终使用领域的使用。人工智慧和机器学习领域的持续研究和创新可以提高视觉转换器的性能和有效性,并将其应用扩展到全球不同的最终用途领域。
主要市场统计 | |
---|---|
基准年[2023] | 40836万美元 |
预测年份 [2024] | 5.0727 亿美元 |
预测年份 [2030] | 1,901,270,000 美元 |
复合年增长率(%) | 24.57% |
区域洞察
随着消费者专注于安全、房地产和零售,视觉转换器市场在美洲不断发展,推动了视觉转换器的研究和开发。由于监控、医疗保健和自动驾驶方面的技术进步和增强,亚太地区成为视觉变压器市场的新兴地区。由于医疗保健、监控系统和自动驾驶系统中先进技术的部署,欧洲、中东和非洲地区的视觉转换器市场正在显着成长。在中东,我们专注于将视觉变压器用于石油和天然气行业的检查和安全目的。同时,非洲国家正在探索使用视觉转换器进行农业和环境监测。此外,视觉转换器的技术进步预计将提高业务效率并促进其在世界各地最终使用领域的使用。
FPNV定位矩阵
FPNV 定位矩阵对于评估供应商在 Vision Transformer 市场的定位至关重要。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,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,可以对视觉变压器市场中供应商的当前状态进行深入而详细的评估。对供应商贡献的彻底比较和分析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。对目前在视觉转换器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。
[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