市場調查報告書
商品編碼
1399618
工業分析市場規模- 按分析類型(描述性、診斷性、預測性、規範性)、部署模型(本地、雲端)、企業規模(中小企業、大型企業)、組件、最終用途和全球預測,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斷增加的推動下,工業分析市場規模預計從 2023 年到 2032 年CAGR將超過 12%。隨著多個行業紛紛採用工業 4.0 原則,智慧製造正在推動物聯網感測器、人工智慧和分析等先進技術整合到生產流程中,進一步增加了對工業分析解決方案和服務的需求。此外,政府和產業推動的倡導智慧製造實踐的措施也顯著增加。
此外,包括機器學習和人工智慧在內的分析技術的不斷進步正在刺激更複雜、更強大的工業分析解決方案的開發,從而支持行業的成長。舉個例子,2023年10月,AVEVA推出了AVEVA Advanced Analytics,利用人工智慧和機器學習技術來提高營運效率並實現永續發展關鍵績效指標(KPI)。
工業分析產業分為組件、分析類型、部署模型、企業規模、最終用途和區域。
根據組件,軟體領域的市場價值預計將在 2023 年至 2032 年期間獲得顯著成長。先進的工業分析解決方案可在製造和工業環境中實現即時資料分析、預測性維護和流程最佳化。這些行業的領先市場參與者正在積極收購其他公司,以增強他們的專業知識並擴大他們的軟體能力,從而促進該細分市場的成長。例如,2022 年 8 月,英飛凌科技股份公司透過收購柏林新創公司 Industrial Analytics,加強了其在涉及機械和工業設備的預測分析方面的人工智慧軟體和服務業務。
就最終用途而言,到 2032 年,製造業領域的工業分析產業將產生可觀的收入。全球製造業擴大利用工業分析來最佳化生產流程、提高效率並降低營運成本。此外,工業 4.0 原則的日益突出將有助於工業分析與許多努力保持競爭力的製造業企業的持續整合。
從地區來看,北美工業分析市場在2022 年佔據了相當大的收入佔有率,並預計在2023 年至2032 年呈現強勁成長。先進製造基礎設施的存在,加上該地區對技術創新的高度重視,正在推動採用工業分析解決方案。此外,美國、加拿大和其他主要美國國家的主要行業參與者的存在、研發計劃以及積極採用工業 4.0 技術的方法將加速產業成長。
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.