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机器人技术已成为现代制造业的基石,为全球许多行业带来了变革。 其应用范围从自动化重复性任务到提高复杂操作的精度和效率。

随着人们对卓越运营的不懈追求,以及对生产灵活性和成本效益的日益增长的需求,对工业机器人的需求不断激增。

根据目前的估计,全球已安装的工业机器人远远超过 300 万台,而且安装速度还在迅速加快。

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此外,从货架堆垛、清洁到各种形式的制造,机器人的使用案例也在激增。 机器人对经济增长非常重要,因为各国都在努力解决劳动力短缺和人口老龄化问题。

#@#Against this growing applications backdrop, the robotics market is forecast to reach 8 billion by 2030, according to the latest worldwide study by GlobalData.#@#

机器人的应用将影响众多行业,包括工业、医疗、物流、制造、检测、清洁、农业、国防、安全和消费品。

随着机器人的智能越来越先进,能够执行更复杂的任务,自动机器将越来越多地出现在家庭中,也许还会出现在更多类型的工作场所中。

在医疗保健领域,越来越多的手术由机器人完成或辅助。 仓库和配送中心的机器人实现了高效物流。 在消费者方面,自动吸尘器在许多家庭中已变得司空见惯。全球数据.

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人工智能(AI)的进步拓展了机器人的发展空间,使其不再是独立的、功能有限的固定机器,而是高度复杂的系统。

人工智能增加了机器人现在可以扮演的角色数量。 云计算是这一进步的核心,它改进了传感、计算和内存,使管理更加安全。

除了技术进步,机器人的应用还对当前的全球事件产生了影响。 例如,俄乌战争增加了军用无人机的销量,加速了其功能的发挥。

韩国、新加坡和日本的人口老龄化和低生育率推动了机器人的使用,以填补亚太地区劳动力市场的缺口。

随着高效、低成本和高质量的制造对供应链越来越重要,中美之间的技术竞争也在推动机器人市场的发展。

机器人应用增长前景

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协同机器人和物流机器人等技术可以将工厂变成先进的工程实验室,在这里可以不断分析、简化和改进装配线流程和组件。

根据 GlobalData 的评估,工会、政策制定者和社会科学家担心,自动化可能会导致高失业率,特别是如果经济无法为那些被机器人取代的工人创造更高价值的工作。

尽管如此,也有越来越多的证据表明,人工智能将创造新的工作类型。 不过,一些被机器人技术取代的工人肯定需要接受培训才能重新就业。 各国政府和企业领导人必须开始为这些转型制定计划。

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#@#The Chief Information Officer (CIO) and/or the Chief Technology Officer (CTO) will guide Generative AI initiatives within the large enterprise C-Suite. They may already have the technical expertise and experience to understand the capabilities and limitations of Gen AI. They also have the authority and budget to make the necessary investments in infrastructure and talent to support Gen AI initiatives. Enterprise AI infrastructure is proven to be expensive to build, operate and maintain. That's why public cloud service provider solutions are often used for new AI use cases. AI Semiconductor Market Development Semiconductors designed to execute Artificial Intelligence (AI) workloads will represent a .4 billion revenue opportunity for the global semiconductor industry in 2023, an increase of 20.9 percent from 2022, according to the latest worldwide market study by Gartner. "The developments in generative AI and the increasing use of a wide range AI-based applications in data c#@#

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#@#In the manufacturing industry, cloud computing can help leaders improve their production efficiency by providing them with real-time data about their operations. This has gained the attention of the C-suite. Total forecast Industrial Cloud platform revenue in manufacturing will surpass 0 billion by 2033 with a CAGR of 22.57 percent, driven by solution providers enhancing platform interoperability while expanding partner ecosystems for application development. ABI Research found the cloud computing manufacturing market will grow over the next decade due to the adoption of new architectural frameworks that enhance data extraction and interoperability for manufacturers looking to maximize utility from their data. Industrial Cloud Computing Market Development "Historically, manufacturers have built out their infrastructure to include expensive data housing in the form of on-premises servers. The large initial upfront cost of purchasing, setting up, and maintaining these servers is#@#

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#@#The enterprise demand for quantum computing is still in its early stages, growing slowly. As the technology becomes more usable, we may see demand evolve beyond scientific applications. The global quantum computing market is forecast to grow from .1 billion in 2022 to .6 billion in 2027, according to the latest worldwide market study by International Data Corporation (IDC). That's a five-year compound annual growth rate (CAGR) of 48.1 percent. The forecast includes base Quantum Computing as a Service, as well as enabling and adjacent Quantum Computing as a Service. However, this updated forecast is considerably lower than IDC's previous quantum computing forecast, which was published in 2021, due to lower demand globally. Quantum Computing Market Development In the interim, customer spend for quantum computing has been negatively impacted by several factors, including: slower than expected advances in quantum hardware development, which have delayed potential return on inve#@#
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