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市场调查报告书
商品编码
1662595
2030 年製造业分析市场预测:按组件、部署模式、应用、最终用户和地区进行的全球分析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 |
根据 Stratistics MRC 的数据,全球製造业分析市场规模预计在 2024 年达到 144 亿美元,到 2030 年将达到 428 亿美元,预测期内的复合年增长率为 19.8%。
使用资料分析技术和工具来改进製造过程称为製造分析。透过收集和评估各个生产阶段的资料,公司可以提高生产力、降低成本、提高产品品质并预测设备故障。这种资料主导的方法可以推动持续改进、支援决策并发现见解。
根据德勤2024年的分析,到2024年,製造业企业的技术投资将占其营运预算的30%,而2023年这一比例为23%。
对业务效率的需求不断增加
製造分析市场受到透过资料主导的洞察力来提高业务效率的日益增长的需求的推动。透过分析,製造商可以优化生产流程、减少停机时间并提高资源利用率。即时监控和预测性维护功能使公司能够识别效率低下并防止设备故障,从而节省成本并提高生产力。随着各行各业采用工业 4.0 技术,高阶分析的整合已成为在快速发展的工业格局中保持竞争力的关键。
整合复杂性
许多製造商采用的都是过时的基础设施,与现代分析解决方案不相容。这给资料的收集、处理和分析带来了挑战,并且通常需要在系统升级和熟练人才方面进行大量投资。此外,资料来源分散且格式不一致,进一步增加了无缝整合的复杂性,并减缓了整个製造业务中分析技术的采用。
智慧製造的成长
智慧工厂利用物联网设备、人工智慧和机器学习产生大量即时资料。製造分析解决方案使公司能够使用这些资料进行预测性维护、品管和供应链优化。随着各行各业进行数位转型并采用工业 4.0 实践,预计对支援自动化和即时决策的分析工具的需求将激增。
网路安全威胁
网路安全威胁对製造分析市场构成了重大挑战,因为增强的连接性使系统面临潜在的攻击。物联网设备与云端基础的整合会产生漏洞,可能使敏感资料面临风险或扰乱业务。勒索软体攻击和对关键系统的未授权存取对製造商的财务稳定性和声誉构成重大风险。
COVID-19 疫情扰乱了全球製造业的业务,凸显了即时资料洞察对于管理供应链中断和生产挑战的重要性。儘管由于预算削减,采用速度最初较慢,但随着企业寻求有弹性和高效的流程,疫情加速了数位转型的努力。在此期间,製造分析在实现远端监控、预测性维护和库存优化方面发挥了关键作用,推动了市场的长期成长。
预计在预测期内解决方案部分将成为最大的部分。
解决方案部门预计将在预测期内占据最大的市场占有率,因为它在收集、处理和视觉化製造资料方面发挥关键作用。这些工具为製造商提供了有关生产效率、品管和供应链管理的可行见解。物联网设备和云端基础的日益普及进一步推动了对支援即时监控和预测分析的先进软体解决方案的需求。人工智慧工具的不断创新和功能增强使这一领域继续成为市场成长的主要动力。
预测期内,本地细分市场预计将以最高复合年增长率成长
由于在资料安全和敏感资讯管理方面的优势,预计内部部署部分将在预测期内见证最高的成长率。具有严格合规性要求的行业更喜欢内部部署,因为它可以减少对第三方云端供应商的依赖。此外,硬体技术的进步使得内部部署解决方案更具可扩展性和效率。由于製造商优先考虑其关键业务的安全环境,预计该领域将快速成长。
在预测期内,由于製造业较早采用了物联网和巨量资料分析等先进技术,预计北美将占据最大的市场占有率。该地区对创新的重视和领先技术提供者的存在导致了製造业分析解决方案的广泛采用。政府推动智慧工厂的倡议进一步推动了汽车和航太等行业的采用率,巩固了北美在该市场的领导地位。
预计预测期内亚太地区将呈现最高的复合年增长率。这是由于中国、印度和日本等国家工业化进程快速推进以及对智慧製造技术的投资不断增加。该地区越来越注重数位转型努力,支援广泛采用分析工具来优化生产流程和供应链。新兴国家製造地的扩张进一步促进了该地区的强劲成长。
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.