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市場調查報告書
商品編碼
1626532
全球資料歷史市場規模(按部署、組件、最終用戶產業、地理範圍和預測)Global Data Historian Market Size By Deployment (On-Premise, Cloud), By Component (Software, Services), By End-Use Industry (Oil And Gas, Manufacturing, Data Centers), Geographic Scope And Forecast |
IIoT 的成長推動了資料歷史學家擴大採用資料歷史學家來管理和分析產生的大量資料。因此,工業物聯網 (IIoT) 的採用將呈指數級增長,到 2024 年市場規模將超過 1.6655 億美元,到 2031 年達到 2.5812 億美元的估值。
在製藥、石油和天然氣以及發電等行業,法規遵循要求和日益嚴格的法規需要強大的資料管理系統。因此,由於行業監管嚴格,2024 年至 2031 年期間市場將以 6.21% 的複合年增長率成長。
資料史學家市場定義/概述
資料歷史學家是一個專門的軟體程序,用於收集和儲存各個工業部門的生產資料。定期擷取資料並將其儲存在時間序列資料庫中,以便快速輕鬆地檢索,同時確保有效利用磁碟空間。該系統允許操作員查看機器、系統和設備的歷史性能,為生產過程的運作和效率提供寶貴的見解。
在當今快速發展的商業環境中,在正確的時間向正確的人提供正確的資訊至關重要。資料歷史學家在匯總和管理資料方面發揮關鍵作用,有助於確定優先任務,例如改善客戶體驗、優化營運和推動整體成功。這些系統簡化了整個組織的資料收集、儲存和訪問,確保了無縫同步,並且無需管理不同位置的多個資料連接。
資料史學家在預測性維護策略中發揮關鍵作用,有助於減少停機時間和維護成本。根據美國能源部的報告,預測性維護可以減少25-30%的維護成本並消除70-75%的故障。根據國際數據公司 (IDC) 的數據,到 2023 年全球物聯網支出預計將達到 1.1 兆美元,2019 年至 2023 年的複合年增長率為 12.6%。美國食品藥物管理局 (FDA) 報告稱,2016 年至 2019 年間,與製藥業數據完整性問題相關的警告信增加了 42%。
資料歷史學家與雲端平台的整合正在擴展其能力和可訪問性。 Gartner 預測,到 2025 年,超過 95% 的新數位工作負載將部署在雲端原生平台上,高於 2021 年的 30%。各行業越來越多地使用能源管理和永續性數據歷史記錄來執行能源優化和永續性報告。美國環保署 (EPA) 報告稱,使用能源管理系統的企業每年平均可節省 2-10% 的能源。
透過將人工智慧和機器學習技術融入資料歷史學家,預測能力和決策過程得到增強。根據麻省理工學院斯隆管理評論和波士頓顧問集團的研究,91%投資人工智慧的公司在三年內獲得了正投資回報。
資料歷史學家收集和儲存大量敏感的工業數據,因此對安全漏洞和資料隱私的擔憂可能會阻礙其採用。根據美國國土安全部統計,2018年至2020年間,工業控制系統報告的網路安全事件數量增加了110%。資料歷史系統的初始投資和持續維護成本可能高得令人望而卻步,尤其是對於中小型企業而言。根據美國小型企業管理局的報告,小型企業平均將其收入的6.9%用於IT開支,包括軟體實施和維護。
缺乏能夠有效部署、管理和解釋歷史系統資料的熟練專業人員,對市場的成長構成了重大課題。美國勞工統計局預測,2020 年至 2030 年資料庫管理員和架構師的就業人數將成長 8%,高於所有職業的平均水平,顯示對資料管理技能的需求不斷增長。
The growth of IIoT is driving increased adoption of data historians to manage and analyze the vast amounts of data generated. Thus, the adoption of the Industrial Internet of Things (IIoT) surged the growth of market size surpassing USD 166.55 Million by 2024 to reach a valuation of USD 258.12 Million by 2031.
Regulatory compliance requirements and stricter regulations in industries like pharmaceuticals, oil and gas, and power generation necessitate robust data management systems. Thus, the stricter regulations in industries enable the market to grow at a CAGR of 6.21% from 2024 to 2031.
Data Historian Market: Definition/ Overview
A data historian is a specialized software program designed to collect and store production data across various industry sectors. It captures data at regular intervals and stores it in a time series database, ensuring efficient use of disk space while allowing quick and easy retrieval. This system enables operators to review the historical performance of machines, systems, and equipment, offering valuable insights into their operation and efficiency during the production process.
In today's rapidly expanding business environment, providing the right information to the right person at the right time is crucial. Data historians play a key role in aggregating and managing data, helping businesses prioritize tasks such as enhancing customer experience, optimizing operations, and driving overall success. These systems simplify data collection, storage, and access across organizations, ensuring seamless synchronization and eliminating the need to manage multiple data connections in different locations.
The predictive maintenance initiatives data historians play a crucial role in predictive maintenance strategies, helping to reduce downtime and maintenance costs. A report by the U.S. Department of Energy stated that predictive maintenance can reduce maintenance costs by 25-30% and eliminate breakdowns by 70-75%. According to the International Data Corporation (IDC), global IoT spending is projected to reach USD 1.1 Trillion by 2023, with a compound annual growth rate (CAGR) of 12.6% from 2019 to 2023. The U.S. Food and Drug Administration (FDA) reported a 42% increase in warning letters related to data integrity issues in the pharmaceutical industry between 2016 and 2019.
The integration of data historians with cloud platforms is expanding their capabilities and accessibility. Gartner predicts that by 2025, over 95% of new digital workloads will be deployed on cloud-native platforms, up from 30% in 2021. Energy management and sustainability data historians are increasingly used for energy optimization and sustainability reporting in various industries. The U.S. Environmental Protection Agency (EPA) reports that companies using energy management systems achieve average energy savings of 2-10% annually.
The incorporation of AI and ML technologies with data historians is enhancing predictive capabilities and decision-making processes. According to a survey by MIT Sloan Management Review and Boston Consulting Group, 91% of companies that have invested in AI have seen a positive return on investment within three years.
As data historians collect and store vast amounts of sensitive industrial data, concerns about security breaches and data privacy can hinder adoption. According to the U.S. Department of Homeland Security, the number of cybersecurity incidents reported by industrial control systems increased by 110% between 2018 and 2020. The initial investment and ongoing maintenance costs for data historian systems can be prohibitive, especially for small and medium-sized enterprises. A report by the U.S. Small Business Administration found that small businesses spend an average of 6.9% of their revenue on IT expenses, including software implementation and maintenance.
The shortage of skilled professionals who can effectively implement, manage, and interpret data from historian systems poses a significant challenge to market growth. The U.S. Bureau of Labor Statistics projects that employment of database administrators and architects will grow 8% from 2020 to 2030, faster than the average for all occupations, indicating a growing demand for data management skills.
The cloud segment plays a dominant role in the data historian market, driven by the scalability, flexibility, and efficiency of cloud infrastructure in managing large volumes of data. Cloud development has enabled data historians to leverage cloud environments, offering seamless integration with other cloud-based tools and services such as advanced data analysis, visualization, and reporting. This integration has increased demand for cloud-based data historians, as businesses seek more agile solutions for data storage, retrieval, and processing.
With the rise of cloud adoption across industries, particularly in sectors like BFSI (banking, financial services, and insurance), cloud services have become essential for storing and managing vast amounts of consumer data. Services such as payment gateways, online fund transfers, digital wallets, and unified customer experiences rely heavily on cloud infrastructure, fueling the overall shift toward cloud deployment. The cloud's ability to provide real-time access, reduced maintenance costs, and enhanced security features has made it the preferred choice for organizations aiming to streamline their operations and improve data accessibility.
The oil and gas segment dominates the data historian market, owing to the industry's need for robust data management solutions to capture, store, and analyze vast amounts of operational data across exploration, production, and distribution processes. Data historians provide real-time monitoring of critical parameters such as pressure, flow rates, and equipment performance, which is essential for optimizing production and ensuring early detection of potential issues in the oil and gas value chain.
In the upstream sector, data historians play a key role in reservoir management, enhancing production optimization, and enabling efficient decision-making. In midstream and downstream operations, these systems are critical for monitoring pipeline integrity, refining processes, and managing supply chain logistics. By integrating advanced analytics and machine learning algorithms, oil and gas companies can leverage historical data to predict equipment failures, optimize maintenance schedules, and enhance operational efficiency.
As the oil and gas industry continues to prioritize efficiency and safety, data historians have become indispensable in improving asset performance, minimizing downtime, and reducing operational risks. The segment's reliance on data-driven decision-making and real-time monitoring solidifies its dominance in the data historian market.
North America substantially dominates the data historian market owing to the advanced industrial automation adoption. North America, particularly the United States, leads in the implementation of advanced industrial automation technologies, driving the demand for data historian solutions. According to the International Federation of Robotics, the United States had an operational stock of about 310,700 industrial robots in 2020, ranking third globally and showing a 6% increase from the previous year.
The region's substantial R&D investments in various industries contribute to the development and adoption of sophisticated data management tools like historians. The National Science Foundation reports that U.S. businesses spent USD 441 Billion on research and development in 2019, accounting for about 70% of total U.S. R&D expenditures.
Robust IT Infrastructure and Cloud Computing Capabilities North America's advanced IT infrastructure and leadership in cloud computing services provide a strong foundation for data historian implementation and growth. According to the U.S. Census Bureau, in 2018, 92% of U.S. businesses used at least one type of cloud computing service, with 30% using advanced cloud computing services for data storage and management.
Asia Pacific is anticipated to witness the fastest growth in the data historian market owing to the rapid digital transformation. Many countries in the Asia Pacific region are undergoing accelerated digital transformation, driving the need for advanced data management solutions like historians. According to a report by the Asian Development Bank, digital transformation could add an estimated USD 8.6 Trillion to Asia's GDP by 2025, highlighting the massive potential for growth in digital technologies, including data management systems.
The proliferation of IoT devices and networks in the region is creating a surge in data generation, necessitating robust data historian solutions. A study by IDC predicts that the Asia Pacific region (excluding Japan) will have 9.96 billion IoT devices installed by 2024, accounting for 36.9% of global IoT spending.
The Asia Pacific region's expanding manufacturing sector, particularly in countries like China and India, is driving increased adoption of industrial automation and data management technologies. The United Nations Industrial Development Organization (UNIDO) reports that Asia and the Pacific's share of global manufacturing value added increased from 31.9% in 2000 to 50.5% in 2020, indicating substantial growth in the industrial sector.
The competitive landscape of the Data Historian Market is evolving rapidly, with new players entering the market and existing players expanding their offerings. As the demand for data-driven insights continues to grow, the competition among data historian providers is expected to intensify.
The organizations are focusing on innovating their product line to serve the vast population in diverse regions. Some of the prominent players operating in the data historian market include: