市场调查报告书
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1399618
工业分析市场规模- 按分析类型(描述性、诊断性、预测性、规范性)、部署模型(本地、云端)、企业规模(中小企业、大型企业)、组件、最终用途和全球预测,2023 年- 2032 年Industrial Analytics Market Size - By Analytics Type (Descriptive, Diagnostic, Predictive, Prescriptive), Deployment Model (On-premises, Cloud), Enterprise Size (SMEs, Large Enterprise), Component, End Use & Global Forecast, 2023 - 2032 |
在全球智慧製造措施不断增加的推动下,工业分析市场规模预计从 2023 年到 2032 年CAGR将超过 12%。随着多个行业纷纷采用工业 4.0 原则,智慧製造正在推动物联网感测器、人工智慧和分析等先进技术整合到生产流程中,进一步增加了对工业分析解决方案和服务的需求。此外,政府和产业推动的倡导智慧製造实践的措施也显着增加。
此外,包括机器学习和人工智慧在内的分析技术的不断进步正在刺激更复杂、更强大的工业分析解决方案的开发,从而支持行业的成长。举个例子,2023年10月,AVEVA推出了AVEVA Advanced Analytics,利用人工智慧和机器学习技术来提高营运效率并实现永续发展关键绩效指标(KPI)。
工业分析产业分为组件、分析类型、部署模型、企业规模、最终用途和区域。
根据组件,软体领域的市场价值预计将在 2023 年至 2032 年期间获得显着成长。先进的工业分析解决方案可在製造和工业环境中实现即时资料分析、预测性维护和流程最佳化。这些行业的领先市场参与者正在积极收购其他公司,以增强他们的专业知识并扩大他们的软体能力,从而促进该细分市场的成长。例如,2022 年 8 月,英飞凌科技股份公司透过收购柏林新创公司 Industrial Analytics,加强了其在涉及机械和工业设备的预测分析方面的人工智慧软体和服务业务。
就最终用途而言,到 2032 年,製造业领域的工业分析产业将产生可观的收入。全球製造业越来越多地利用工业分析来优化生产流程、提高效率并降低营运成本。此外,工业 4.0 原则的日益突出将有助于工业分析与许多努力保持竞争力的製造业企业的持续整合。
从地区来看,北美工业分析市场在2022 年占据了相当大的收入份额,并预计在2023 年至2032 年呈现强劲增长。先进製造基础设施的存在,加上该地区对技术创新的高度重视,正在推动采用工业分析解决方案。此外,美国、加拿大和其他主要美国国家的主要行业参与者的存在、研发计划以及积极采用工业 4.0 技术的方法将加速产业成长。
Industrial Analytics Market size is anticipated to expand at over 12% CAGR from 2023-2032 driven by the increasing smart manufacturing initiatives globally. With several industries embracing the principles of Industry 4.0, smart manufacturing is driving the integration of advanced technologies like IoT sensors, AI, and analytics into production processes, further escalating the need for industrial analytics solutions and services. Additionally, there has been significant rise in government and industry-driven initiatives for advocating smart manufacturing practices.
Furthermore, the ongoing advancements in analytics technologies, including ML and AI, are spurring the development of more sophisticated and powerful industrial analytics solutions, thereby supporting the industry growth. To cite an instance, in October 2023, AVEVA introduced AVEVA Advanced Analytics to leverage AI and ML technologies to enhance operational efficiency and achieve sustainability key performance indicators (KPIs).
The industrial analytics industry is segmented into component, analytics type, deployment model, enterprise size, end-use, and region.
Based on component, the market value from the software segment is projected to gain significant traction from 2023-2032. Advanced industrial analytics solutions enable real-time data analysis, predictive maintenance, and process optimization in manufacturing and industrial settings. Leading market participants in these sectors are actively acquiring other firms to augment their expertise and expand their software capabilities, boosting the segment growth. For instance, in August 2022, Infineon Technologies AG strengthened its software and services businesses in AI for predictive analysis involving machinery and industrial equipment by acquiring Berlin-based startup Industrial Analytics.
In terms of end-use, the industrial analytics industry from the manufacturing segment is set to generate considerable revenue through 2032. Manufacturing industries worldwide are increasingly leveraging industrial analytics to optimize production processes, improve efficiency, and reduce operational costs. Moreover, the growing prominence of Industry 4.0 principles will contribute to the rising integration of industrial analytics with many manufacturing businesses striving to stay competitive.
Regionally, the North America industrial analytics market held a sizable revenue share in 2022 and is poised to exhibit robust growth from 2023 to 2032. The presence of advanced manufacturing infrastructure, coupled with the strong emphasis on technological innovations across the region are driving the adoption of industrial analytics solutions. Furthermore, the presence of key industry players, R&D initiatives, and a proactive approach for adopting Industry 4.0 technologies in the U.S., Canada, and other major American countries will accelerate the industry growth.