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市場調査レポート
商品コード
1626532
データヒストリの世界市場規模:展開別、コンポーネント別、エンドユーザー産業別、地理的範囲と予測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 |
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データヒストリの世界市場規模:展開別、コンポーネント別、エンドユーザー産業別、地理的範囲と予測 |
出版日: 2024年09月06日
発行: Verified Market Research
ページ情報: 英文 202 Pages
納期: 2~3営業日
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IIoTの成長により、生成される膨大な量のデータを管理・分析するためのデータヒストリアン採用が増加しています。したがって、モノの産業インターネット(IIoT)の採用は、2024年までに1億6,655万米ドルを超える市場規模の成長を急増させ、2031年には2億5,812万米ドルの評価額に達します。
医薬品、石油・ガス、発電などの業界では、規制遵守要件や規制強化により、堅牢なデータ管理システムが必要とされています。このように、産業における規制の厳格化により、市場は2024年から2031年にかけてCAGR 6.21%で成長します。
データヒストリアン市場定義/概要
データヒストリアンとは、さまざまな産業分野の生産データを収集・保存するために設計された専用のソフトウェアプログラムです。一定の間隔でデータを取得し、時系列データベースに保存することで、ディスク容量の効率的な利用を確保しながら、迅速かつ容易な検索を可能にします。このシステムにより、オペレーターは機械、システム、設備の過去のパフォーマンスを確認することができ、生産工程における操作や効率に関する貴重な洞察を得ることができます。
急速に拡大する今日のビジネス環境では、適切な情報を適切な人に適切なタイミングで提供することが極めて重要です。データヒストリアンは、データを集約・管理する上で重要な役割を果たし、顧客体験の向上、オペレーションの最適化、全体的な成功の推進といったタスクの優先順位付けを支援します。これらのシステムは、組織全体のデータ収集、保存、アクセスを簡素化し、シームレスな同期を保証し、異なる場所で複数のデータ接続を管理する必要性を排除します。
予知保全イニシアチブのデータヒストリアンは、予知保全戦略において重要な役割を果たし、ダウンタイムと保全コストの削減に貢献します。米国エネルギー省の報告書によると、予知保全によって保全コストを25~30%削減し、故障を70~75%なくすことができるといいます。インターナショナル・データ・コーポレーション(IDC)によると、世界のIoT支出は2023年までに1兆1,000億米ドルに達し、2019年から2023年までのCAGRは12.6%になると予測されています。米国食品医薬品局(FDA)は、2016年から2019年にかけて、製薬業界におけるデータインテグリティの問題に関連する警告書が42%増加したと報告しています。
データヒストリアンとクラウドプラットフォームの統合により、その機能とアクセシビリティが拡大しています。Gartnerは、2021年の30%から、2025年までに、新しいデジタルワークロードの95%以上がクラウドネイティブプラットフォーム上に展開されると予測しています。エネルギー管理と持続可能性に関するデータヒストリアンは、さまざまな業界でエネルギーの最適化と持続可能性報告のために利用されるようになっています。米国環境保護庁(EPA)の報告によると、エネルギー管理システムを利用する企業は、年間平均2~10%の省エネを達成しています。
データヒストリアンーにAIやML技術を取り入れることで、予測能力や意思決定プロセスが強化されています。MIT Sloan Management ReviewとBoston Consulting Groupの調査によると、AIに投資した企業の91%が3年以内にプラスの投資収益を上げています。
データヒストリアンは膨大な量の機密産業データを収集・保存するため、セキュリティ侵害やデータプライバシーに関する懸念が採用の妨げになる可能性があります。米国国土安全保障省によると、産業用制御システムから報告されたサイバーセキュリティインシデントの件数は、2018年から2020年の間に110%増加しました。データヒストリアンシステムの初期投資と継続的なメンテナンスコストは、特に中小企業にとっては法外なものになる可能性があります。米国中小企業庁のレポートによると、中小企業は、ソフトウェアの導入や保守を含むIT経費に、売上高の平均6.9%を費やしています。
歴史的なシステムからのデータを効果的に導入、管理、解釈できる熟練した専門家の不足は、市場の成長にとって大きな課題となっています。米国労働統計局は、データベース管理者とアーキテクトの雇用が2020年から2030年にかけて8%増加し、全職種の平均を上回ると予測しており、データ管理スキルに対する需要が高まっていることを示しています。
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: