
亚太地区预测性维护市场预测至 2028 年 - COVID-19 影响和区域分析 - 按组件(解决方案和服务)、部署类型(云和本地)、技术(振动监测、电气测试、油液分析、超声波检漏仪) 、冲击脉冲、红外线等)和工业(制造、能源与公用事业、航空航天与国防、运输与物流、石油与天然气等)
No. of Pages: 160 | Report Code: TIPRE00013318 | Category: Technology, Media and Telecommunications
No. of Pages: 160 | Report Code: TIPRE00013318 | Category: Technology, Media and Telecommunications
预测性维护对于工业而言将与企业资源规划 (ERP) 一样重要由于不断增长的设备性能与展示最佳实践、遵守行业标准以及产生相对于其他组织的竞争优势相称,因此未来的组织将变得更加出色。当前,亚太地区正在引领工业化进程。中国、印度和该地区其他主要国家正在引领成为全球下一个制造中心的道路。最近的生产挂钩激励措施(PLIs)正在吸引全球知名制造商在印度进行长期投资。根据这些 PLI,市场供应商可以为国内和国际市场生产。印度政府将这些激励措施应用于 14 个行业,其中电信、电子设备和汽车已经从中受益。它为本地和全球预测维护供应商提供了扩大规模并引入具有成本效益的创新的机会。此外,该地区的一些国家一直致力于增加工业产出,以减少对其他国家进口的依赖。因此,不断发展的工业化加上不断增加的政府举措预计将在预测期内为该地区的预测性维护供应商创造利润丰厚的机会。
亚太地区由澳大利亚、中国、印度、日本、南美等主要国家组成韩国以及亚太地区其他地区。亚太地区各种工业应用中采用先进技术的热潮不断增长,预计将推动未来几年的市场增长。每个垂直行业都需要改进资产管理,从而增加了对预测性维护解决方案的需求。配备机器学习 (ML) 和人工智能 (AI) 的解决方案提供商可以从物联网和其他互联设备生成的大量客户相关数据中获得有意义的见解。市场上的主要参与者致力于提供与物联网和人工智能集成的先进技术,以提供预测性维护。例如,2022 年 1 月,端到端预测性维护解决方案提供商 Nanoprecise Sci Corp 宣布与工程和应用公司 Dynelec 签订新的分销合作伙伴协议。支持澳大利亚采矿和工业的可靠性公司公用事业领域。 Nanoprecise Sci Corp 促进基于人工智能的预测和预测的实施规范性维护解决方案。同样,2022 年 3 月,西屋制动公司获得了印度铁路公司现代化车间中央组织 (COFMOW) 的机车车辆在线监控 (OMRS) 项目合同。它支持“智能庭院”计划,该计划将展示下一代基于状态的预测性维护技术。技术的不断进步进一步增加了预测性维护合同的数量,这对于提高各行业的效率和运营有很大帮助,从而推动市场增长。
亚太地区预测维护市场根据组件、部署类型、技术、行业和国家/地区进行细分。
通用电气公司;日立有限公司; IBM公司;微软公司;PTC 公司; SAS 研究所;施耐德电气公司;软件股份公司;和 Syncron AB 是亚太地区预测性维护市场的领先公司。
Strategic insights for Asia-Pacific Predictive Maintenance involve closely monitoring industry trends, consumer behaviours, and competitor actions to identify opportunities for growth. By leveraging data analytics, businesses can anticipate market shifts and make informed decisions that align with evolving customer needs. Understanding these dynamics helps companies adjust their strategies proactively, enhance customer engagement, and strengthen their competitive edge. Building strong relationships with stakeholders and staying agile in response to changes ensures long-term success in any market.
Report Attribute | Details |
---|---|
Market size in 2022 | US$ 1,656.84 Million |
Market Size by 2028 | US$ 7,378.17 Million |
Global CAGR (2022 - 2028) | 28.3% |
Historical Data | 2020-2021 |
Forecast period | 2023-2028 |
Segments Covered |
By 组件
|
Regions and Countries Covered | 亚太地区
|
Market leaders and key company profiles |
The regional scope of Asia-Pacific Predictive Maintenance refers to the geographical area in which a business operates and competes. Understanding regional nuances, such as local consumer preferences, economic conditions, and regulatory environments, is crucial for tailoring strategies to specific markets. Businesses can expand their reach by identifying underserved regions or adapting their offerings to meet regional demands. A clear regional focus allows for more effective resource allocation, targeted marketing, and better positioning against local competitors, ultimately driving growth in those specific areas.
The Asia-Pacific Predictive Maintenance Market is valued at US$ 1,656.84 Million in 2022, it is projected to reach US$ 7,378.17 Million by 2028.
As per our report Asia-Pacific Predictive Maintenance Market, the market size is valued at US$ 1,656.84 Million in 2022, projecting it to reach US$ 7,378.17 Million by 2028. This translates to a CAGR of approximately 28.3% during the forecast period.
The Asia-Pacific Predictive Maintenance Market report typically cover these key segments-
The historic period, base year, and forecast period can vary slightly depending on the specific market research report. However, for the Asia-Pacific Predictive Maintenance Market report:
The Asia-Pacific Predictive Maintenance Market is populated by several key players, each contributing to its growth and innovation. Some of the major players include:
The Asia-Pacific Predictive Maintenance Market report is valuable for diverse stakeholders, including:
Essentially, anyone involved in or considering involvement in the Asia-Pacific Predictive Maintenance Market value chain can benefit from the information contained in a comprehensive market report.