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市场调查报告书
商品编码
1626532
全球资料历史市场规模(按部署、组件、最终用户产业、地理范围和预测)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 的成长推动了资料历史学家扩大采用资料历史学家来管理和分析产生的大量资料。因此,工业物联网 (IIoT) 的采用将呈指数级增长,到 2024 年市场规模将超过 1.6655 亿美元,到 2031 年达到 2.5812 亿美元的估值。
在製药、石油和天然气以及发电等行业,法规遵循要求和日益严格的法规需要强大的资料管理系统。因此,由于行业监管严格,2024 年至 2031 年期间市场将以 6.21% 的复合年增长率成长。
资料史学家市场定义/概述
资料历史学家是一个专门的软体程序,用于收集和储存各个工业部门的生产资料。定期撷取资料并将其储存在时间序列资料库中,以便快速轻鬆地检索,同时确保有效利用磁碟空间。该系统允许操作员查看机器、系统和设备的历史性能,为生产过程的运作和效率提供宝贵的见解。
在当今快速发展的商业环境中,在正确的时间向正确的人提供正确的资讯至关重要。资料历史学家在汇总和管理资料方面发挥关键作用,有助于确定优先任务,例如改善客户体验、优化营运和推动整体成功。这些系统简化了整个组织的资料收集、储存和访问,确保了无缝同步,并且无需管理不同位置的多个资料连接。
资料史学家在预测性维护策略中发挥关键作用,有助于减少停机时间和维护成本。根据美国能源部的报告,预测性维护可以减少25-30%的维护成本并消除70-75%的故障。根据国际数据公司 (IDC) 的数据,到 2023 年全球物联网支出预计将达到 1.1 兆美元,2019 年至 2023 年的复合年增长率为 12.6%。美国食品药物管理局 (FDA) 报告称,2016 年至 2019 年间,与製药业数据完整性问题相关的警告信增加了 42%。
资料历史学家与云端平台的整合正在扩展其能力和可访问性。 Gartner 预测,到 2025 年,超过 95% 的新数位工作负载将部署在云端原生平台上,高于 2021 年的 30%。各行业越来越多地使用能源管理和永续性数据历史记录来执行能源优化和永续性报告。美国环保署 (EPA) 报告称,使用能源管理系统的企业每年平均可节省 2-10% 的能源。
透过将人工智慧和机器学习技术融入资料历史学家,预测能力和决策过程得到增强。根据麻省理工学院斯隆管理评论和波士顿顾问集团的研究,91%投资人工智慧的公司在三年内获得了正投资回报。
资料历史学家收集和储存大量敏感的工业数据,因此对安全漏洞和资料隐私的担忧可能会阻碍其采用。根据美国国土安全部统计,2018年至2020年间,工业控制系统报告的网路安全事件数量增加了110%。资料历史系统的初始投资和持续维护成本可能高得令人望而却步,尤其是对于中小型企业而言。根据美国小型企业管理局的报告,小型企业平均将其收入的6.9%用于IT开支,包括软体实施和维护。
缺乏能够有效部署、管理和解释历史系统资料的熟练专业人员,对市场的成长构成了重大课题。美国劳工统计局预测,2020 年至 2030 年资料库管理员和架构师的就业人数将成长 8%,高于所有职业的平均水平,显示对资料管理技能的需求不断增长。
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: