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市场调查报告书
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製造业巨量资料分析：市场占有率分析、产业趋势与统计、成长预测（2024-2029）

Big Data Analytics In Manufacturing - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

製造业巨量资料分析市场规模预计到2024年为89.3亿美元，预计到2029年将达到237.2亿美元，预测期内（2024-2029年）复合年增长率为21.60%，预计还会增长。

製造市场中的大数据分析-IMG1

製造业越来越多地采用人工智慧 (AI) 技术来高效处理复杂的工作流程。到 2030 年，全球物联网、製造市场预计将达到 1.5 兆美元，影响整个产品生命週期和及时交货，导致意外停机、缺陷和安全问题。明智的决策对于製造商预防至关重要智慧型文件处理 (IDP) 等人工智慧解决方案可以透过将非结构化和半结构化资讯即时转换为可用资料，帮助製造商最大限度地减少处理文件的时间。很有帮助。

主要亮点

  • 根据麦肯锡的报告，资料主导的企业吸引客户的可能性高出 23 倍，获利的可能性高出 19 倍。製造公司可以透过业务的不同领域收集资料并即时视觉化来利用资料分析。例如，透过切换到 O​​racle Analytics Cloud，Schneider Electric现在能够收集、自动分析和处理 90% 的售罄资料。该技术减少了资料采集错误，消除了手动资料集成，提高了及时性和准确性。
  • 为了解决劳动力管理障碍，製造商必须预见人员配置、日程安排、培训和生产力方面的挑战。巨量资料公司提供预测分析解决方案，帮助製造组织安排维护和维修、减少停机时间并提高生产力。例如，BMW使用资料分析解决方案来监控汽车生产过程中的产品品质。安装在宝马製造部门的感测器提供的资料可以帮助公司在品质问题成为重大问题之前及早发现它们。
  • COVID-19 大流行扰乱了製造业，并使供应链和库存追踪变得困难。生产领域的这些障碍迫使他们与拥有 RFID 和条码扫描等技术的巨量资料分析提供者合作。
  • 在製造业中采用巨量资料分析的主要障碍是大量资料的可用性，这需要品质过滤过程。来自不同部门的资料必须整合起来并作为一个实体来立即识别和解决问题。透过采用人工智慧技术和资料分析，製造商可以优化业务、提高生产力并保持全球竞争力。

製造业巨量资料分析市场趋势

状态监测可望显着成长

  • 状态监测是使用感测器收集资料并监测关键运作参数（例如振动、声音异常、气流和电流）的过程。预测资料分析解决方案使用这些资料来主动预测机器故障，最终有助于降低维护成本和停机时间。
  • Mondas 是一家为能源工厂和建筑服务设备製造商提供状态监控平台的公司。该公司的即时监控功能可以在缺陷发展为重大问题之前检测到缺陷，有助于降低营运成本。
  • 2023 年 2 月，总部位于都柏林的 Hoistech 与 CoreRFID 合作开发了一款基于应用程式的视觉化管理工具，让使用者可以监控和报告任何资产的状态。该应用程式使用行动电话的 GPS 自动定位用户和资产，仪表板提供所有资产绩效的清晰概览。
  • 2022年4月，欧姆龙科技推出了K7TM，一款主要应用于汽车和快速消费品产业的加热设备状态监测装置。该装置可以轻鬆安装在现有设备上，并且可以检测机器的异常状况。其一大特点是在设备运作时可以自动测量加热器的电阻值，并且可以确定加热器劣化的趋势。
  • 2022 年 3 月，Guardhat 发布了用于工人状态监测的工业级解决方案。该应用程式支援即时监控和基于事件的警报，有助于防止因暴露于热、气体、辐射和其他危险而造成的伤害甚至死亡。该测试在一家金属生产工厂进行，该工厂收到警报称一名工人因温度超过 102 华氏度而过度劳累，并在工人受伤前对其进行了降温。
製造市场中的大数据分析-IMG2

亚太地区成长最快

  • 亚洲开发银行（ADB）发布报告预测，2023年东南亚（SEA）经济将成长4.7%。製造业为东协地区提供了巨大的成长机会，而物联网（IoT）技术的采用有可能进一步增强这一成长潜力。
  • 亚太地区 (APAC) 地区的多个国家，例如韩国、中国、日本、台湾和新加坡，以其强大的製造业而闻名，特别是在电子设备组装和半导体元件生产方面。这些国家越来越多地采用巨量资料分析来改善电子和半导体产业的业务。
  • 透过结合物联网技术的引入和资料分析，将可以即时了解日常业务中的车辆事故、员工缺勤、事故和伤害等各个业务方面。这可以促进平稳运行并提高製造效率。
  • 越南领先的数位转型服务供应商 FPT Software 与日本 IT 公司 SCSK 共同发布了汽车产业OEM（目的地设备製造商）和供应商的全面解决方案。该平台 MaaZ（Monozukuri Adaptive AUTOSAR）旨在提供高效的解决方案，可缩短产品上市时间并降低客户的总拥有成本。
  • 预计2023年东南亚经济将显着成长，主要体现在製造业。物联网技术和资料分析的采用可能会进一步促进该行业的成长。 FPT Software 和 SCSK 等公司透过合作为OEM和供应商提供先进的解决方案，推动汽车产业的创新和效率。
製造市场中的大数据分析-IMG3

製造业巨量资料分析概述

製造业中分析解决方案和物联网的采用正在迅速增加，为巨量资料分析供应商创造了新的商机。为了在新参与企业的竞争中生存下来，现有的参与者正在随着市场的扩大而扩大他们的产品阵容。资料分析可以提供竞争优势的一个领域是影像分析，帮助製造公司检测肉眼难以识别的微小裂缝和刮痕等缺陷。

2023 年 2 月，美国国家智慧製造研究所 CESMII 与 SAS 合作，推进整个製造业的高阶分析。在智慧工厂部署分析解决方案可以推动数位转型，提高生产品质和效率，并改善业务决策。 SAS 的领先客户之一乔治亚 -Pacific 使用 SAS 的云端原生解决方案将计划外停机时间减少了 30%，并将整体效率提高了 10%。

2022 年 1 月，印度巴拉特石油公司 (BPCL)推出了“One BPCL”，这是一种将所有业务部门统一在一个共用平台上的技术解决方案。 BPCL 在 Salesforce Sales and Service Cloud 和 Tableau CRM 中实施业务分析，以协助销售负责人捕获潜在客户、监控机会管道并更快地达成交易。透过利用这些先进技术，BPCL 旨在简化业务并提高整体业务绩效。

其他福利：

  • Excel 格式的市场预测 (ME) 表
  • 3 个月的分析师支持

目录

第一章执行摘要

第二章 市场洞察

  • 市场概况
  • 产业吸引力－波特五力分析
    • 买家/消费者的议价能力
    • 供应商的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争公司之间敌对关係的强度
  • 产业价值链分析
  • COVID-19 市场影响评估

第三章市场动态

  • 市场驱动因素
    • 不断发展的技术、资产和工程导向的价值链
    • 透过工业 4.0 实现快速工业自动化
  • 市场限制因素
    • 缺乏意识和安全担忧
  • 市场机会
    • 预测分析工具的使用增加
    • 工业物联网 (IIoT) 的采用率不断提高

第四章市场区隔

  • 按最终用户产业
    • 半导体
    • 航太
    • 车
    • 其他最终用户产业
  • 按用途
    • 状态监测
    • 品管
    • 库存控制
    • 其他用途
  • 按地区
    • 北美洲
      • 美国
      • 加拿大
    • 欧洲
      • 英国
      • 德国
      • 法国
      • 其他欧洲国家
    • 亚太地区
      • 中国
      • 日本
      • 印度
      • 其他亚太地区
    • 拉丁美洲
    • 中东/非洲

第五章竞争形势

  • 公司简介
    • Alteryx Inc.
    • IBM Corporation
    • Knime AG
    • Microsoft Corporation
    • MicroStrategy Incorporated
    • Oracle Corporation
    • RapidMiner Inc.
    • SAP SE
    • SAS Institute Inc.
    • Tibco Software Inc.（Alpine Data）

第六章 投资分析

第七章投资分析市场的未来

简介目录
Product Code: 48662

The Big Data Analytics In Manufacturing Market size is estimated at USD 8.93 billion in 2024, and is expected to reach USD 23.72 billion by 2029, growing at a CAGR of 21.60% during the forecast period (2024-2029).

Big Data Analytics In Manufacturing - Market - IMG1

The manufacturing industry increasingly adopts artificial intelligence (AI) technologies to handle complex workflows efficiently. With the global IoT, manufacturing market projected to reach USD 1.5 trillion by 2030, informed decision-making is critical for manufacturers as it impacts the entire product life cycle and timely delivery and prevents unplanned outages, defects, or safety issues. AI solutions such as intelligent document processing (IDP) help manufacturers minimize time spent processing documents by turning unstructured and semi-structured information into usable data in real-time.

Key Highlights

  • According to a McKinsey report, data-driven businesses are 23 times more likely to attract clients and 19 times more likely to be profitable. Manufacturing companies can leverage data analytics by collecting and visualizing data from various areas of their operations in real-time. Schneider Electric, for example, switched to Oracle Analytics Cloud, which helped collect 90% of its sell-out data and analyze and process it automatically. With this technology, data collection errors were reduced, manual data consolidation was eliminated, and timeliness and accuracy improved.
  • To tackle workforce management obstacles, manufacturing organizations must predict staffing, scheduling, training, and productivity challenges. Big data companies provide Predictive Analytics Solutions that help manufacturing organizations schedule maintenance and repairs, reduce downtime, and increase productivity. BMW, for instance, uses a data analytics solution to monitor the quality of its products during the production of cars. The sensors installed in BMW's manufacturing unit provide data that can help recognize quality issues early before they become a major problem.
  • The COVID-19 pandemic disrupted the manufacturing industry, making keeping track of the supply chain and inventory challenging. These hurdles in the production sector compelled organizations to collaborate with big data analytic providers for technologies like RFID and barcode scanning, which help track goods in dispatch and location of warehouses by sitting in the manufacturer's premises.
  • The major hurdle in adopting big data analytics in the manufacturing industry is the availability of a large amount of data with a need for quality filtering processes. Data from different departments should integrate and work as one entity to identify and resolve problems immediately. By adopting AI technologies and data analytics, the manufacturing industry can optimize operations, increase productivity, and stay competitive globally.

Big Data Analytics In Manufacturing Market Trends

Condition Monitoring is Expected to Register a Significant Growth

  • Condition monitoring is a process that involves the use of sensors to collect data and monitor crucial operating parameters such as vibrations, sound anomalies, airflow, and current. This data is then used by predictive data analytics solutions to predict machine failures before they happen, ultimately helping to reduce maintenance costs and downtime.
  • Mondas is a company that provides a Condition Monitoring platform for manufacturers of energy plants and building services equipment. Their real-time monitoring functionality helps to lower operating costs by detecting defects before they become major problems.
  • In February 2023, Dublin-based Hoistech partnered with CoreRFID to develop an app-based visual management tool that enables users to monitor and report on the condition of any asset. The app automatically geolocates the user and asset using the phone's GPS, while the dashboard provides a clear overview of all asset performance.
  • In April 2022, OMRON Technologies launched K7TM, a condition monitoring device for heater equipment used primarily in the automotive and FMCG industries. These devices can be easily attached to existing equipment to detect abnormal machinery conditions. One of the key features of this device is the automatic measuring of the resistance of the heater during equipment operation to identify the deterioration tendency of the heater.
  • In March 2022, Guardhat released an industrial-grade solution for worker condition monitoring. The application assists in real-time monitoring and event-based alerts to help prevent injury or even death from exposure to heat, gas, radiation, or any other calamity. The trials were conducted at a metal production facility, where the organization received alerts that workers were getting over-exerted as the temperatures exceeded 102°F and got them cooled off before any injury occurred.
Big Data Analytics In Manufacturing - Market - IMG2

Asia-Pacific to Witness Highest Growth

  • The Asian Development Bank (ADB) has released a report forecasting that the Southeast Asian (SEA) economy will grow by 4.7% in 2023. One sector that presents vast opportunities for growth in the ASEAN region is manufacturing, and the adoption of the Internet of Things (IoT) technology can further enhance this growth potential.
  • Several countries in the Asia-Pacific (APAC) region, such as South Korea, China, Japan, Taiwan, and Singapore, are known for their strong manufacturing industries, particularly in producing electronics assembly and semiconductor parts. These countries are increasingly adopting big data analytics to improve operations in the electronics and semiconductor industries.
  • The implementation of IoT technology, combined with data analysis, can enable real-time insights into various operational aspects, such as vehicle mishaps, employee absences, accidents, and injuries, during daily operations. This can help facilitate smooth operations and enhance efficiency in the manufacturing industry.
  • Vietnam's leading digital transformation services provider, FPT Software, and Japanese IT company SCSK have collaborated to launch a comprehensive solution for original equipment manufacturers (OEMs) and suppliers in the automotive industry. The platform, MaaZ (Monozukuri Adaptive AUTOSAR), aims to provide highly efficient solutions that can reduce the product's time to market and lower the total cost of ownership for customers.
  • In summary, the Southeast Asian economy is expected to experience significant growth in 2023, particularly in the manufacturing industry. The adoption of IoT technology and data analysis can further enhance growth in this sector. Companies such as FPT Software and SCSK are driving innovation and efficiency in the automotive industry by collaborating to provide advanced solutions to OEMs and suppliers.
Big Data Analytics In Manufacturing - Market - IMG3

Big Data Analytics In Manufacturing Industry Overview

The manufacturing sector has seen a surge in adopting analytics solutions and IoT, presenting new opportunities for big data analytics providers. Existing players expand their product offerings as the market expands to compete with new entrants. One area where data analytics can provide a competitive edge is image analysis, which helps manufacturing companies detect defects such as minute cracks or scratches that are difficult to identify with the human eye.

In February 2023, the United States national institute on Smart Manufacturing, CESMII, partnered with SAS to promote advanced analytics across the manufacturing sector. Deploying analytics solutions in smart factories can drive digital transformation, enhance production quality and efficiency, and improve business decision-making. Georgia-Pacific, one of SAS's earlier clients, has experienced a 30% reduction in unplanned downtime and a 10% improvement in overall efficiency using SAS's cloud-native solution.

In January 2022, India's Bharat Petroleum Corporation Limited (BPCL) launched "One BPCL," a technology solution that unites all its business units under a single shared platform. BPCL deployed Salesforce Sales and Service Cloud and Tableau CRM's business analytics to help its sales officers capture leads, monitor opportunity pipelines, and close deals faster. By leveraging these advanced technologies, BPCL aims to streamline its operations and improve its overall business performance.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 EXECUTIVE SUMMARY

2 MARKET INSIGHTS

  • 2.1 Market Overview
  • 2.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 2.2.1 Bargaining Power of Buyers/Consumers
    • 2.2.2 Bargaining Power of Suppliers
    • 2.2.3 Threat of New Entrants
    • 2.2.4 Threat of Substitute Products
    • 2.2.5 Intensity of Competitive Rivalry
  • 2.3 Industry Value Chain Analysis
  • 2.4 Assessment of the Impact of COVID-19 on the Market

3 MARKET DYNAMICS

  • 3.1 Market Drivers
    • 3.1.1 Evolving Technology, Asset, and Engineering-oriented Value Chain
    • 3.1.2 Rapid Industrial Automation led by Industry 4.0
  • 3.2 Market Restraints
    • 3.2.1 Lack of Awareness and Security Concerns
  • 3.3 Market Opportunities
    • 3.3.1 Increasing Use of Predictive Analytics Tools
    • 3.3.2 Increasing Adoption of IIoT

4 MARKET SEGMENTATION

  • 4.1 By End-user Industry
    • 4.1.1 Semiconductor
    • 4.1.2 Aerospace
    • 4.1.3 Automotive
    • 4.1.4 Other End-user Industries
  • 4.2 By Application
    • 4.2.1 Condition Monitoring
    • 4.2.2 Quality Management
    • 4.2.3 Inventory Management
    • 4.2.4 Other Applications
  • 4.3 Geography
    • 4.3.1 North America
      • 4.3.1.1 United States
      • 4.3.1.2 Canada
    • 4.3.2 Europe
      • 4.3.2.1 United Kingdom
      • 4.3.2.2 Germany
      • 4.3.2.3 France
      • 4.3.2.4 Rest of the Europe
    • 4.3.3 Asia-Pacific
      • 4.3.3.1 China
      • 4.3.3.2 Japan
      • 4.3.3.3 India
      • 4.3.3.4 Rest of the Asia Pacific
    • 4.3.4 Latin America
    • 4.3.5 Middle East and Africa

5 COMPETITIVE LANDSCAPE

  • 5.1 Company Profiles
    • 5.1.1 Alteryx Inc.
    • 5.1.2 IBM Corporation
    • 5.1.3 Knime AG
    • 5.1.4 Microsoft Corporation
    • 5.1.5 MicroStrategy Incorporated
    • 5.1.6 Oracle Corporation
    • 5.1.7 RapidMiner Inc.
    • 5.1.8 SAP SE
    • 5.1.9 SAS Institute Inc.
    • 5.1.10 Tibco Software Inc. (Alpine Data)

6 INVESTMENT ANALYSIS

7 FUTURE OF THE MARKET