计算机视觉市场中的人工智能基于(关键地区、市场参与者、规模和份额)- 到 2030 年的预测

  • Report Code : TIPRE00011691
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 169
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【研究报告】2022年人工智能计算机视觉市场规模为137.5亿美元,预计到2030年将达到1354.4亿美元。预计2022年至2022年人工智能计算机视觉市场复合年增长率为33.1% 2030.
分析师观点:
工业 4.0 采用的增长正在推动计算机视觉市场中人工智能的增长,因为人工智能计算机视觉正在通过使自动车辆能够解释和理解视觉信息来改变工业 4.0。将人工智能和计算机视觉相结合就像拥有一支超级机器人团队在仓库和物流作业中工作。这些机器人可以根据观察到的情况进行分析、观察并做出决策。计算机视觉是开发自主或自动驾驶车辆的基础技术。它提供必要的感知能力,使车辆能够在无需人工干预的情况下安全导航和运行。因此,自动驾驶汽车数量的不断增长推动了计算机视觉市场中人工智能的增长。
计算机视觉中的人工智能市场概述:
计算机视觉中的人工智能使计算机和系统能够从数字图像、视频、和其他视觉输入,并根据该信息采取行动或提供参考。计算机视觉技术严重依赖人工智能和机器学习技术。人工智能使计算机视觉能够理解、识别和分析所有类型的视觉数据。 AI模型、逻辑和模型可以快速消费、吸收和学习大量标记和未标记的视觉数据。它使支持计算机视觉的计算机能够识别视频、图形甚至信息图表中的各种不同特征、模式和关系。
计算机视觉中人工智能的目标是创建能够理解视觉信息的自动化系统(例如图像或视频),就像人类一样。计算机视觉旨在教会机器逐像素地理解和解释图像。人工智能驱动的计算机视觉有几个用例。计算机视觉正在应用于安全与监控、制造、汽车、零售、体育与娱乐以及医疗保健等各个行业。
计算机视觉中的人工智能市场驱动力:
工业 4.0 的不断采用推动计算机视觉中的人工智能市场增长
工业 4.0 是工业革命的新阶段,即制造业及相关行业的数字化转型,高度强调自动化、互联性、实时数据和机器学习。通过工业4.0与自动化系统的结合,传统工业设施正逐步向智能、互联、高效的自动化设施演进。它形成了一个自动化单元,在机器人技术的帮助下将计算机和工业自动化解决方案结合起来。连接设备的网络创建了一个能够做出分散决策的智能架构。工业 4.0 公司越来越多地采用基于人工智能的计算机视觉解决方案,预计将提高仓库安全性,使公司能够实现更高水平的精益制造,并提高生产率和盈利能力,同时降低长期成本。
此外,人工智能计算机视觉正在通过使自动车辆能够解释和理解视觉信息来改变工业 4.0。将人工智能和计算机视觉相结合就像拥有一支超级机器人团队在仓库和物流作业中工作。这些机器人可以根据观察到的情况进行分析、观察并做出决策。这将带来更加准确、高效和简化的工作流程,从而提高盈利能力和生产力。在仓库和物流环境中,这些机器人可以执行质量控制、物体识别和识别、拣选和包装以及库存管理等任务。它们有助于加快工作节奏,消除人为错误的可能性,确保正确的产品按时到达正确的客户手中,并确保运营顺利进行。
人工智能计算机视觉通过减少人为错误、实现自动化,彻底改变了行业流程。任务,提高生产力,实现基于实时数据的智能决策,并确保产品质量。 AI 计算机视觉系统在工业 4.0 自动化中有多种应用。通过计算机视觉,它可以精确、快速地测量产品数量,降低成本和工期,避免特定加工过程中的人员接触,消除污染风险,并保证员工更好的安全标准。人工智能计算机视觉在工业界快速发展,因为它在生产线中提供了可集成的解决方案。计算机视觉系统可以执行多种操作,包括监控产品、分析可能的缺陷、执行预测性维护以避免故障和中断以及提高生产现场的安全性。因此,随着工业 4.0 的日益普及,计算机视觉市场中的人工智能正在不断增长。
战略见解
计算机视觉市场中的人工智能报告细分和范围:
计算机视觉市场中的人工智能分为组件、最终用途行业和地理。根据组件,计算机视觉市场的人工智能分为硬件和软件。就最终用途行业而言,计算机视觉市场中的人工智能分为安全与监控、制造、汽车、零售、体育与娱乐等。按地域划分,计算机视觉市场中的人工智能分为北美、欧洲、亚太地区、中东和非洲以及南美洲。
计算机视觉中的人工智能市场细分分析:
基于组件,人工智能计算机视觉市场分为硬件和软件。到 2022 年,软件领域在计算机视觉人工智能市场中占据更大份额。软件通过提供分析和可视化数据所需的工具,在计算机视觉人工智能中发挥着重要作用。软件提供多种应用程序,例如 AI 框架、AI 例程、视频处理、图像采集、图像处理控制和人工智能功能,用于设计、开发和部署高性能计算机视觉应用程序。一些厂商为计算机视觉领域的人工智能提供软件。例如,Advanced Micro Devices Inc. 提供 AMD ROCm 软件。该软件为人工智能工作负载提供了一系列优化——从大型语言模型(LLM)到图像/视频检测和识别、生命科学和药物发现、自动驾驶、机器人技术等——并支持更广泛的人工智能软件生态系统,包括开放框架、模型和工具。
硬件在计算机视觉应用程序中捕获数据方面发挥着重要作用。计算机视觉应用所需的主要硬件元件是处理器单元、输入/输出设备 (I/O)、用于图像捕获的相机和图像传感器以及通信链路。相机成像传感器的特点是三个关键参数:分辨率(像素数)、速度(每秒帧数)和颜色数。根据计算机视觉应用的类型,处理单元从 CPU 到嵌入式板各不相同。全球有多家厂商提供计算机视觉硬件。例如,高通技术公司提供了视觉人工智能开发套件,用于在智能边缘设备上运行人工智能模型。视觉AI开发套件包括主板、摄像头等。
计算机视觉人工智能市场区域分析:
2022年北美计算机视觉人工智能市场规模估值为50.1亿美元,预计到2030年达到511.2亿美元;预计2022年至2030年复合年增长率为33.7%。北美计算机视觉人工智能市场分为美国、加拿大和墨西哥。 2022年,美国在北美人工智能计算机视觉市场中占据最大份额。美国的多个商业组织以及联邦和州政府通过人工智能技术在工业和经济发展中的快速采用,为市场的增长做出了贡献。纽约作为美国的金融和技术中心,在人工智能集成和应用质量方面表现尤其出色。此外,全国智慧城市的政府举措预计也将影响全国范围内人工智能在计算机视觉技术中的采用。美国多家公司正在推出计算机视觉技术。例如,2023年5月,领先的计算机视觉云平台Landing AI宣布推出全球首款面向FDA监管制造商的计算机视觉软件。该平台版本针对药品、医疗设备制造商和生命科学等受到高度监管的行业,以便他们能够加快创新解决方案的速度。因此,美国计算机视觉市场中的人工智能正在不断增长。
计算机视觉市场中的人工智能主要参与者分析:
Advanced Micro Devices Inc.、康耐视公司、通用电气公司、英特尔公司、微软公司.、Qualcomm Inc.、Teledyne Technologies Inc.、NVIDIA Corp.、BASLER AG 和 International Business Machines Corp. 是计算机视觉人工智能市场的主要公司之一。
计算机视觉市场人工智能的最新发展:< br>计算机视觉市场的人工智能企业普遍采用并购等无机和有机策略。下面列出了计算机视觉市场中人工智能近期的一些关键发展:
2022 年 2 月,AMD 宣布收购美国半导体供应商 Xilinx。收购完成后,Xilinx 将作为 AMD 自适应和嵌入式计算团队的一部分运营。两家公司都提供具有差异化知识产权和劳动力的互补产品。 AMD 和 Xilinx 携手合作,将能够提供更广泛的产品和解决方案,满足计算解决方案的各种需求。2023 年 3 月,英特尔实验室通过两种新的 AI 模型增强了计算机视觉开发。 VI-Depth 1.0 和 MiDaS 3.1 开源 AI 模型改进了计算机视觉的深度估计。
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Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

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North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

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Frequently Asked Questions


What is the estimated market size for the global AI in computer vision market in 2022?

The global AI in computer vision market was estimated to be US$ 13.75 billion in 2022 and is expected to grow at a CAGR of 33.1% during the forecast period.

What are the driving factors impacting the global AI in computer vision market?

Growing adoption of industry 4.0, and rising applications in healthcare, agriculture, and retail industries are the major factors that propel the global AI in computer vision market.

Which are the key players holding the major market share of the global AI in computer vision market?

The key players holding majority shares in the global AI in computer vision market are Intel Corp., Microsoft Corp., Qualcomm Inc., NVIDIA Corp., and International Business Machines Corp.

What are the future trends of the global AI in computer vision market?

Edge computer vision and real- time video analytics are some of the factors to play a significant role in the global AI in computer vision market in the coming years.

What is the incremental growth of the global AI in computer vision market during the forecast period?

The incremental growth expected to be recorded for the global AI in computer vision market during the forecast period is US$ 121.69 billion.

What will be the market size of the global AI in computer vision market by 2030?

The global AI in computer vision market is expected to reach US$ 135.44 billion by 2030.

The List of Companies - AI in Computer Vision Market

  1. Advanced Micro Devices Inc           
  2. Cognex Corp         
  3. General Electric Co             
  4. Intel Corp               
  5. Microsoft Corp     
  6. Qualcomm Inc                       
  7. Teledyne Technologies Inc              
  8. NVIDIA Corp          
  9. BASLER AG                              
  10. International Business Machines Corp

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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