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市場調查報告書
商品編碼
1662595
2030 年製造業分析市場預測:按組件、部署模式、應用、最終用戶和地區進行的全球分析Manufacturing Analytics Market Forecasts to 2030 - Global Analysis By Component (Solutions and Services), Deployment Mode (Cloud-Based and On-Premises), Application, End User and By Geography |
根據 Stratistics MRC 的數據,全球製造業分析市場規模預計在 2024 年達到 144 億美元,到 2030 年將達到 428 億美元,預測期內的複合年成長率為 19.8%。
使用資料分析技術和工具來改進製造過程稱為製造分析。透過收集和評估各個生產階段的資料,公司可以提高生產力、降低成本、提高產品品質並預測設備故障。這種資料主導的方法可以推動持續改進、支援決策並發現見解。
根據德勤2024年的分析,到2024年,製造業企業的技術投資將佔其營運預算的30%,而2023年這一比例為23%。
對業務效率的需求不斷增加
製造分析市場受到透過資料主導的洞察力來提高業務效率的日益成長的需求的推動。透過分析,製造商可以最佳化生產流程、減少停機時間並提高資源利用率。即時監控和預測性維護功能使公司能夠識別效率低下並防止設備故障,從而節省成本並提高生產力。隨著各行各業採用工業 4.0 技術,高階分析的整合已成為在快速發展的工業格局中保持競爭力的關鍵。
整合複雜性
許多製造商採用的都是過時的基礎設施,與現代分析解決方案不相容。這給資料的收集、處理和分析帶來了挑戰,並且通常需要在系統升級和熟練人才方面進行大量投資。此外,資料來源分散且格式不一致,進一步增加了無縫整合的複雜性,並減緩了整個製造業務中分析技術的採用。
智慧製造的成長
智慧工廠利用物聯網設備、人工智慧和機器學習產生大量即時資料。製造分析解決方案使公司能夠使用這些資料進行預測性維護、品管和供應鏈最佳化。隨著各行各業進行數位轉型並採用工業 4.0 實踐,預計對支援自動化和即時決策的分析工具的需求將激增。
網路安全威脅
網路安全威脅對製造分析市場構成了重大挑戰,因為增強的連接性使系統面臨潛在的攻擊。物聯網設備與雲端基礎的整合會產生漏洞,可能使敏感資料面臨風險或擾亂業務。勒索軟體攻擊和對關鍵系統的未授權存取對製造商的財務穩定性和聲譽構成重大風險。
COVID-19 疫情擾亂了全球製造業的業務,凸顯了即時資料洞察對於管理供應鏈中斷和生產挑戰的重要性。儘管由於預算削減,採用速度最初較慢,但隨著企業尋求有彈性和高效的流程,疫情加速了數位轉型的努力。在此期間,製造分析在實現遠端監控、預測性維護和庫存最佳化方面發揮了關鍵作用,推動了市場的長期成長。
預計在預測期內解決方案部分將成為最大的部分。
解決方案部門預計將在預測期內佔據最大的市場佔有率,因為它在收集、處理和視覺化製造資料方面發揮關鍵作用。這些工具為製造商提供了有關生產效率、品管和供應鏈管理的可行見解。物聯網設備和雲端基礎的日益普及進一步推動了對支援即時監控和預測分析的先進軟體解決方案的需求。人工智慧工具的不斷創新和功能增強使這一領域繼續成為市場成長的主要動力。
預測期內,本地細分市場預計將以最高複合年成長率成長
由於在資料安全和敏感資訊管理方面的優勢,預計內部部署部分將在預測期內見證最高的成長率。具有嚴格合規性要求的行業更喜歡內部部署,因為它可以減少對第三方雲端供應商的依賴。此外,硬體技術的進步使得內部部署解決方案更具可擴展性和效率。由於製造商優先考慮其關鍵業務的安全環境,預計該領域將快速成長。
在預測期內,由於製造業較早採用了物聯網和巨量資料分析等先進技術,預計北美將佔據最大的市場佔有率。該地區對創新的重視和領先技術提供者的存在導致了製造業分析解決方案的廣泛採用。政府推動智慧工廠的舉措進一步推動了汽車和航太等行業的採用率,鞏固了北美在該市場的領導地位。
預計預測期內亞太地區將呈現最高的複合年成長率。這是由於中國、印度和日本等國家工業化進程快速推進以及對智慧製造技術的投資不斷增加。該地區越來越注重數位轉型努力,支援廣泛採用分析工具來最佳化生產流程和供應鏈。新興國家製造地的擴張進一步促進了該地區的強勁成長。
According to Stratistics MRC, the Global Manufacturing Analytics Market is accounted for $14.4 billion in 2024 and is expected to reach $42.8 billion by 2030 growing at a CAGR of 19.8% during the forecast period. The use of data analysis methods and tools to improve manufacturing processes is known as manufacturing analytics. By gathering and evaluating data from different production phases, businesses can increase productivity, cut expenses, improve product quality, and anticipate equipment failures. Continuous improvement is promoted, decision-making is aided, and insights are revealed by this data-driven approach.
According to Deloitte's 2024 analysis Technology investments made by manufacturing companies accounted for 30% of their operating budget in 2024, compared to 23% in 2023.
Rising demand for operational efficiency
The manufacturing analytics market is driven by the increasing need to enhance operational efficiency through data-driven insights. By leveraging analytics, manufacturers can optimize production processes, reduce downtime, and improve resource utilization. Real-time monitoring and predictive maintenance capabilities enable companies to identify inefficiencies and prevent equipment failures, leading to cost savings and higher productivity. As industries adopt Industry 4.0 technologies, the integration of advanced analytics becomes essential for maintaining competitiveness in a rapidly evolving manufacturing landscape.
Complexity of integration
Many manufacturers operate with outdated infrastructure that lacks compatibility with modern analytics solutions. This creates challenges in data collection, processing, and analysis, often requiring substantial investments in system upgrades and skilled personnel. Additionally, fragmented data sources and inconsistent formats further complicate seamless integration, delaying the adoption of analytics across manufacturing operations.
Growth of smart manufacturing
Smart factories leverage IoT devices, AI, and machine learning to generate vast amounts of real-time data. Manufacturing analytics solutions enable companies to harness this data for predictive maintenance, quality control, and supply chain optimization. As industries increasingly adopt digital transformation initiatives and Industry 4.0 practices, the demand for analytics tools that support automation and real-time decision-making is expected to surge.
Cybersecurity threats
Cybersecurity threats are a major challenge for the manufacturing analytics market as increased connectivity exposes systems to potential attacks. The integration of IoT devices and cloud-based platforms creates vulnerabilities that can compromise sensitive data or disrupt operations. Ransomware attacks and unauthorized access to critical systems pose significant risks to manufacturers' financial stability and reputation.
The COVID-19 pandemic disrupted global manufacturing operations, highlighting the importance of real-time data insights for managing supply chain disruptions and production challenges. While initial lockdowns slowed adoption due to reduced budgets, the pandemic accelerated digital transformation efforts as companies sought resilient and efficient processes. Manufacturing analytics played a vital role in enabling remote monitoring, predictive maintenance, and inventory optimization during this period, fostering long-term growth in the market.
The solutions segment is expected to be the largest during the forecast period
The solutions segment is expected to account for the largest market share during the forecast period due to its critical role in collecting, processing, and visualizing manufacturing data. These tools enable manufacturers to gain actionable insights into production efficiency, quality control, and supply chain management. The growing adoption of IoT devices and cloud-based platforms further drives demand for advanced software solutions that support real-time monitoring and predictive analytics. Continuous innovation in AI-powered tools enhances their capabilities, ensuring this segment remains a key driver of market growth.
The on-premises segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the on-premises segment is predicted to witness the highest growth rate due to its advantages in data security and control over sensitive information. Industries with strict compliance requirements prefer on-premises deployment as it reduces reliance on third-party cloud providers. Additionally, advancements in hardware technologies make on-premises solutions more scalable and efficient. As manufacturers prioritize secure environments for critical operations, this segment is expected to grow rapidly.
During the forecast period, the North America region is expected to hold the largest market share due to its early adoption of advanced technologies like IoT and big data analytics in manufacturing. The region's strong focus on innovation and presence of leading technology providers drive widespread implementation of manufacturing analytics solutions. Government initiatives promoting smart factories further boost adoption rates across industries such as automotive and aerospace, solidifying North America's leadership in this market.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to rapid industrialization and increasing investments in smart manufacturing technologies across countries like China, India, and Japan. The region's growing focus on digital transformation initiatives supports widespread adoption of analytics tools for optimizing production processes and supply chains. Expanding manufacturing hubs in emerging economies further contribute to robust growth in this region.
Key players in the market
Some of the key players in Manufacturing Analytics Market include International Business Machines Corporation (IBM), Oracle Corporation, SAP SE, SAS Institute Inc., Salesforce Inc., TIBCO Software Inc., Alteryx Inc., Sisense Inc., Wipro Limited, General Electric Company, Northwest Analytics Inc., DXC Technology Company, QlikTech Inc., Zensar Technologies Ltd., Computer Science Corporation, Cloud Software Group, Rockwell Automation Inc. and Siemens AG.
In November 2024, Alteryx, Inc., a leader in automated and AI analytics announced its Fall 2024 release for the Alteryx platform. The latest update supports hybrid architectures and meets customers where they are-whether in the cloud or on premises. Alteryx's Fall 2024 release provides business analysts with a seamless analytics experience that scales data-driven insights across departments and industries.
In October 2024, Salesforce announced Connected Assets, a new suite of capabilities for Manufacturing Cloud that gives manufacturers a comprehensive, real-time view of their connected asset data - including service history, status, and customer and telematics information - so they can better manage assets, monitor health and performance, and act on real-time data. With Connected Assets, sales, customer, and field service teams can now provide real-time alerts to customers, faster, more informed support, more personalized offers and services, and accelerate repair times to increase customer satisfaction, all from one platform.
In December 2023, Jakarta - Qlik(R) announced that Japfa, a leading integrated agri-food company in Asia, is harnessing Qlik Sense(R) and Qlik Data Integration(R) to support its vital mission of delivering safe, nutritious, and traceable protein foods across diverse Asian markets including Indonesia, Vietnam, Myanmar, India and Bangladesh.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.