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计算机视觉领域的人工智能市场:2019-2029年全球市场规模、份额、趋势分析、机会和预测报告AI in Computer Vision Market - Global Size, Share, Trend Analysis, Opportunity and Forecast Report, 2019-2029, Segmented By Component ; By Function ; By Application ; By End Use ; By Region |
在深度学习和神经网络的进步以及对视觉分析自动化和效率的需求激增的推动下,全球计算机视觉领域的人工智能市场正在蓬勃发展。
领先的战略咨询和市场研究公司 BlueWeave Consulting 最近的一项研究估计,到 2022 年,全球计算机视觉领域的人工智能市场价值将达到 240 亿美元。 BlueWeave预测,在2023年至2029年的预测期内,全球计算机视觉领域的AI市场规模将以26%的年复合成长率稳步增长,到2029年将达到1230亿美元。全球人工智能在计算机视觉市场的主要增长促进因素包括质量检测和自动化需求的增加、计算机视觉系统在非传统和新兴应用中的使用增加以及情感人工智能的采用。旨在促进工业自动化以及将人工智能集成到边缘设备的政府倡议预计将为行业参与者创造利润丰厚的机会。特别是,随着非传统和新兴应用需求的增加,计算机视觉系统市场正在推动进一步增长。这些系统应用于各个行业,执行检查、识别、测量和产品定位等任务。此外,人工智能视觉系统的多功能性支持新应用的开发,例如 3D 模型创建、零售、医学成像、光学字符识别、汽车安全、监控、交通监控、变形和增强现实。因此,视觉系统和软件正在开髮用于医疗保健、交通管理、安全和监控、邮政和物流以及文檔处理等领域的新用途。现有市场中的公司未来也将受益于开发自己的特定应用、支持人工智能的计算机视觉系统。因此,这些方面预计将在预测期内推动人工智能在计算机视觉全球市场的扩张。然而,数据隐私和安全问题、高昂的初始投资和基础设施成本等因素预计将在分析期间抑制整体市场的增长。
该报告的详细分析提供了有关全球计算机视觉市场人工智能的增长潜力、未来趋势和统计信息。我们还关注推动市场总规模预测的因素。该报告致力于为决策者提供全球计算机视觉人工智能市场的最新技术趋势以及行业见解,以做出明智的战略决策。它还分析了市场的增长促进因素、挑战和竞争力。
Global AI in computer vision market is flourishing because of the growing advancements in deep learning and neural networks and a spurring demand for automation and efficiency in visual analysis.
BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated global AI in computer vision market size at USD 24 billion in 2022. During the forecast period between 2023 and 2029, BlueWeave expects global AI in computer vision market size to grow at a robust CAGR of 26% reaching a value of USD 123 billion by 2029. Major growth drivers for the global AI in computer vision market include an increasing requirement for quality inspection and automation, along with the growing utilization of computer vision systems in non-traditional and emerging applications and the adoption of emotion AI. The government initiatives aimed at promoting industrial automation and the integration of artificial intelligence into edge devices are expected to present lucrative opportunities for industry participants. Notably, the market for computer vision systems is experiencing increased demand in both non-traditional and emerging applications, further driving its growth. These systems find application in various industries for tasks such as inspection, identification, measurement, and product localization. Moreover, the versatility of AI-enabled vision systems allows for the development of new applications, including 3D model creation, retail, medical imaging, optical character recognition, automotive safety, surveillance, traffic monitoring, morphing, and augmented reality. As a result, there is ongoing development of vision systems and software tailored for novel applications in sectors such as healthcare, traffic management, security and surveillance, postal and logistics, and document processing. Also, established market players stand to benefit from their capability to develop in-house, application-specific AI-enabled computer vision systems in the future. Hence, such aspects are expected to boost the expansion of global AI in computer vision market during the forecast period. However, the factors like data privacy and security concerns and high initial investment and infrastructure costs are anticipated to restrain the overall market growth during the period in analysis.
Artificial intelligence (AI) refers to the capacity of computer systems or robots to organize data and generate outputs that mimic human brain processes, encompassing learning, decision-making, and problem-solving abilities. Within the realm of AI, computer vision focuses on enabling machines to extract valuable information from digital images, videos, and visual inputs and utilize that information for action or providing recommendations. While human vision holds an advantage in terms of experience, with a lifetime of context for distinguishing objects, detecting motion, and assessing image correctness, these tasks can be taught to machines through computer vision. As technology such as the Internet of Things (IoT) continues to transform the manufacturing industry, AI will play a crucial role in enhancing computer vision processes and enabling greater autonomy in operations. Computer vision is particularly essential for inspecting manufactured goods for defects and non-conformities, potentially reducing the need for manual inspection on assembly lines. This trend further amplifies the adoption of AI in computer vision technology within the industry.
COVID-19 pandemic adversely affected the global AI in computer vision market. While it initially posed challenges due to disruptions in supply chains and project delays, the pandemic also accelerated the adoption of AI-powered computer vision solutions. With the need for social distancing and contactless operations, industries turned to computer vision technologies for tasks such as crowd monitoring, temperature screening, and mask detection. Also, the healthcare sector utilized AI in computer vision for diagnostics, monitoring, and patient care. The pandemic highlighted the importance of automation and remote capabilities, driving the demand for AI in computer vision. As businesses adapted to the new normal, the market witnessed increased investments and advancements in AI-powered computer vision applications.
Based on function, the global AI in computer vision market is split into training and interference segments. The training function segment is expected to hold a higher share in the artificial intelligence in computer vision market during the forecast period by function. The rising demand for computer vision applications driven by artificial intelligence necessitates the availability of precise and dependable training data. Companies are investing in the creation of robust training datasets to improve the performance and accuracy of their computer vision models. The advancements in deep learning algorithms and techniques require extensive training for achieving optimal outcomes. Consequently, the training function segment is projected to expand as businesses concentrate on refining their models through continuous training and retraining processes.
Major players operating in the global AI in computer vision market include: NVIDIA Corporation, Microsoft Corporation, Intel Corporation, Alphabet Inc. (Google), IBM Corporation, Amazon Web Services (AWS), Qualcomm Technologies, Inc., Apple Inc., Facebook, Inc., Baidu, Inc., Alibaba Group Holding Limited, Cognex Corporation, Honeywell International Inc., SenseTime Group Ltd., and NEC Corporation. To further enhance their market share, these companies employ various strategies, including mergers and acquisitions, partnerships, joint ventures, license agreements, and new product launches.
The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of Global AI in Computer Vision Market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in Global AI in Computer Vision Market and industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.