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市场调查报告书
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1536813

製造业巨量资料分析：市场占有率分析、产业趋势/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 139 Pages | 商品交期: 2-3个工作天内

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简介目录

2024年，全球製造业巨量资料分析市场规模将达到90.7亿美元，2024-2029年预测期间复合年增长率为16.24%，预计到2029年将达到192.5亿美元。

製造市场中的大数据分析

推动市场成长的关键因素包括不断发展的技术、资产、以工程为导向的价值链以及以工业4.0为代表的快速工业自动化。市场规模和估计反映了市场供应商透过为半导体、航太和汽车等各种最终用户提供製造解决方案的巨量资料分析而产生的收益。

主要亮点

  • 工业製造商必须应对复杂的生产流程、供应链中公司之间的关係以及避免错误的持续压力。因此，製造商需要扩展资料来源以降低成本、提高产品品质并提高效率。使用巨量资料分析的公司可以改善关键流程、消除瓶颈、预测需求并预测潜在的故障和延误。
  • 随着连网型设备和感测器的激增以及M2M通讯的实现，製造业产生的资料量正在显着增加。这些资料点的范围可以从详细说明材料经历一个製程週期所需时间的指标到更复杂的指标，例如汽车产业中的材料应力能力计算。
  • 随着世界各地的製造商意识到将巨量资料分析整合到石油和天然气、汽车、食品和饮料、炼油厂、塑胶和化学品等行业的製造业中的好处，製造业巨量资料正在增加。製造商越来越多地采用巨量资料分析解决方案来生产高精度和准确的产品和设备。例如，以喷射发动机、机车、涡轮机和医疗成像设备製造商而闻名的通用电气公司也在根据其生成的大量资料开发其设备的智慧、连网型版本。
  • 阻碍所研究市场成长的因素之一是缺乏有效处理和分析非结构化资料技能和意识。对巨量资料安全性的担忧也是阻碍工业製造商市场采用的主要因素。
  • COVID-19 大流行扰乱了一些企业，但加速了一些行业向数位化的转变。在一些采用数位技术进展缓慢的地区，製造商在各个领域的行为可能已经发生了永久性的改变。

製造业巨量资料分析的市场趋势

汽车产业作为最终用户正在快速成长

  • 全球汽车产业正在经历变革时期，车型和燃料类型数量不断增加，二手车价值波动，供应链​​挑战阻碍了OEM预测未来价值和了解总拥有成本的能力。透过利用巨量资料、分析和洞察，工业供应商可以建立帮助OEM适应不断变化的产业需求的解决方案。
  • 巨量资料分析允许汽车产业从 ERP 系统收集资料，并结合来自业务和供应链成员的多个职能部门的资讯。 M2M/IoT 连接是一种网路通讯，允许不同设备共用资料并执行自动化任务，无需人工干预。
  • RFID、感测器、条码阅读器和机器人现已成为工业製造现场的标准配置。这些设备大大增加了资料生成点的数量。
  • 汽车产业现在正在发展成为一个更资料主导的行业，以降低与有缺陷的组装和过剩库存相关的成本。现在可以更准确地规划组装维护。由于预测分析引入该行业，这一切成为可能。

北美将经历最高的成长

  • 在工业4.0的推动下，美国在巨量资料分析产业不断创新，巩固其在全球市场的地位。该市场采用智慧技术也对国民经济产生直接影响。
  • 美国是提供巨量资料分析解决方案的供应商的重要市场。工厂自动化的早期采用预计将在预测期内显着增长。此外，该市场研究的所有主要供应商均位于美国。美国正处于第四次工业革命的边缘，在大规模生产中利用资料，同时整合整个供应链中不同的製造系统和资料。这刺激了该国引进先进系统。
  • 此外，该国汽车产业巨量资料成长的主要驱动力是技术供应商的强大存在。这些参与者专注于建立合作伙伴关係、併购以及提供创新解决方案，以在区域和全球竞争格局中生存。
  • 汽车产业是工业自动化系统的最大消费者之一。加拿大拥有八家大型製造工厂，分别由丰田、雪佛兰、本田和福特营运。此外，加拿大还有700家製造商生产符合汽车产业要求的零件。汽车产业是该地区最重要的产业，因为它对製造业的贡献最大，预计将对研究市场产生正面影响。

製造业巨量资料分析产业概述

製造业巨量资料分析市场是半固定的。开放原始码工具的可用性和巨量资料分析技术的大幅扩展功能吸引了公司与其他参与者竞争，从而导致成本上升并侵蚀行业盈利。主要参与者包括 Alteryx Inc.、IBM Corporation、Knime AG、Microsoft Corporation 和 Qliktech International AB。

  • 2023 年 12 月，Knime AG 发布了 KNIME 分析平台 5.2。新版本具有改进的使用者介面、更聪明、更透明的人工智慧助手，以及现代化的人工智慧脚本体验。
  • 2023 年 6 月，穆迪公司和微软宣布建立合作伙伴关係，为金融服务提供下一代资料、分析、研究、协作和风险解决方案。此次合作将在微软人工智慧和穆迪专有资料、分析和研究的帮助下创建创新产品，增强企业智慧和风险评估洞察力。

其他好处

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

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章市场洞察

  • 市场概况
  • 产业吸引力－波特五力分析
    • 供应商的议价能力
    • 买方议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争公司之间的敌对关係
  • 产业价值链分析
  • 评估 COVID-19 对产业的影响

第五章市场动态

  • 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

第六章 市场细分

  • 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
    • 库存管理
    • 其他用途
  • 按地区
    • 北美洲
      • 美国
      • 加拿大
    • 欧洲
      • 英国
      • 德国
      • 法国
      • 欧洲其他地区
    • 亚太地区
      • 中国
      • 日本
      • 印度
      • 其他亚太地区
    • 拉丁美洲
    • 中东/非洲

第七章 竞争格局

  • 公司简介
    • Alteryx Inc.
    • IBM Corporation
    • Knime AG
    • Microsoft Corporation
    • Qliktech International AB
    • Oracle Corporation
    • Altair Engineering Inc.（RapidMiner Inc.）
    • SAP SE
    • SAS Institute Inc.
    • Tibco Software Inc.（Cloud Software Group）
    • NEC Corporation
    • Fujitsu Ltd
    • Toshiba Digital Solutions Corporation

第八章投资分析

第9章市场的未来

简介目录
Product Code: 48662

The Big Data Analytics In Manufacturing Market size is estimated at USD 9.07 billion in 2024, and is expected to reach USD 19.25 billion by 2029, growing at a CAGR of 16.24% during the forecast period (2024-2029).

Big Data Analytics In Manufacturing - Market

The primary factors driving the market's growth include evolving technology, assets, engineering-oriented value chains, and rapid industrial automation led by Industry 4.0. The market sizing estimates reflect the revenue generated by the market vendors by offering big data analytics in manufacturing solutions to various end-users, such as semiconductors, aerospace, and automotive.

Key Highlights

  • Complex production processes, cross-company relationships in the supply chain, and constant pressure to avoid errors must be addressed by industrial manufacturers. Therefore, manufacturers need to expand their data sources so that costs can be reduced, the quality of products can be improved, and efficiency is increased. Companies using big data analytics improve key processes, eliminate bottlenecks, predict demand, and anticipate potential failures and delays.
  • With the widespread use of connected devices and sensors, along with the enabling of M2M communication, there has been a significant increase in the data generated in the manufacturing industry. These data points can be of different types, from a metric detailing the time a material takes to pass through one process cycle to a more complex one, such as calculating the material stress capability in the automotive industry.
  • Big data in manufacturing is increasing as manufacturers across the globe are seeing the benefits of integrating big data analytics in manufacturing across industries like oil and gas, automotive, food and beverages, refineries, plastics, and chemicals. Manufacturing companies are increasingly adopting big data analytics solutions to manufacture products and devices with high precision and accuracy. For instance, GE, known as the manufacturer of jet engines, locomotives, turbines, and medical imaging equipment, also develops smart, connected versions of the equipment in the massive data they generate.
  • One of the factors hindering the growth of the market studied is the lack of digital skills and awareness to handle the unstructured data effectively for analysis. Big data security concerns are another major factor restraining the market adoption of industrial manufacturers.
  • The COVID-19 pandemic disrupted several businesses but accelerated the shift to digitization in several sectors. In several regions that have been lagging in adopting digital technologies, manufacturers' behavior in various sectors may have been permanently changed.

Big Data Analytics In Manufacturing Market Trends

Automotive Industry to be the Fastest Growing End User

  • The global automobile industry is undergoing a transformation that includes an ever-increasing array of models and fuel types, fluctuations in used car values, and supply chain challenges that hinder OEMs in projecting future value and understanding the total cost of ownership. By leveraging big data, analytics, and insights, industry vendors can create a solution that helps OEMs adapt to the changing industry demands.
  • Big data analytics allows the automobile industry to collect data from ERP systems and combine information from multiple functional units of the business and the supply chain members. With the emergence of industry IoT, a networked system, and M2M communication, the automotive industry is positioning itself towards Industry 4.0, Where M2M/IoT connections are networked communications that allow different devices to share data and carry out automatic tasks without the need for human interaction.
  • RFIDs, sensors, barcode readers, and robots are now standard in the industry's manufacturing floor. These devices have increased the data generation points exponentially.
  • The automotive industry is now evolving into a more data-driven industry to reduce the costs associated with faulty assembly and over-inventory stockings. It can now plan the maintenance of the assembly lines more accurately. It has all been possible due to the adoption of predictive analytics in the industry.

North America to Witness Highest Growth

  • Fueled by Industry 4.0, the United States continues to innovate and consolidate its position in the global market in the big data analytics industry. The embracing of smart technologies in the market has also directly impacted the national economy.
  • The United States is a substantial market for vendors offering solutions for big data analytics. It is expected to grow significantly over the forecast period, owing to the early adoption of factory automation. Moreover, all the major vendors studied in the market are US-based. The United States is on the verge of the fourth industrial revolution, where data is used in large-scale production while integrating data with various manufacturing systems throughout the supply chain. This is fueling the country's adoption of the advanced system.
  • Moreover, the major driver for the growth of big data in the country's automotive sector is the significant presence of technology providers. These players focus on entering into partnerships, merger acquisitions, and innovative solutions offerings to stay in the regional and globally competitive landscape.
  • The automotive industry is one of the largest consumers of industrial automation systems. Canada has eight large manufacturing plants operated by Toyota, Chevrolet, Honda, and Ford. Moreover, the country has 700 manufacturers that create parts that meet the automotive industry's requirements. The automotive industry is the most significant in this region as it contributes the most to the manufacturing sector, and it is expected to impact the market studied positively.

Big Data Analytics In Manufacturing Industry Overview

Big data analytics in the manufacturing market is semi-consolidated. The huge expansion of capabilities in big data analytics technology, with the availability of open-source tools, may tempt companies to compete with other players and give away too much of their improved product performance in an environment that escalates costs and erodes industry profitability. Some of the major players include Alteryx Inc., IBM Corporation, Knime AG, Microsoft Corporation, and Qliktech International AB.

  • In December 2023, Knime AG announced that KNIME Analytics Platform 5.2. is now available. The new version features user interface improvements, a smarter and more transparent Artificial Intelligence assistant, and a modernized scripting experience with AI.
  • In June 2023, Moody's Corporation and Microsoft announced a partnership to deliver next-generation data, analytics, research, collaboration, and risk solutions for financial services. The partnership would create innovative products to enhance insights into corporate intelligence and risk assessment with the help of Microsoft's AI and Moody's proprietary data, analytics, and research.

Additional Benefits:

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

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Buyers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Threat of Substitutes
    • 4.2.5 Competitive Rivalry within the Industry
  • 4.3 Industry Value Chain Analysis
  • 4.4 Assessment of the Impact of COVID-19 on the Industry

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Evolving Technology, Asset, and Engineering-oriented Value Chain
    • 5.1.2 Rapid Industrial Automation led by Industry 4.0
  • 5.2 Market Restraints
    • 5.2.1 Lack of Awareness and Security Concerns
  • 5.3 Market Opportunities
    • 5.3.1 Increasing Use of Predictive Analytics Tools
    • 5.3.2 Increasing Adoption of IIoT

6 MARKET SEGMENTATION

  • 6.1 By End-user Industry
    • 6.1.1 Semiconductor
    • 6.1.2 Aerospace
    • 6.1.3 Automotive
    • 6.1.4 Other End-user Industries
  • 6.2 By Application
    • 6.2.1 Condition Monitoring
    • 6.2.2 Quality Management
    • 6.2.3 Inventory Management
    • 6.2.4 Other Applications
  • 6.3 By Geography
    • 6.3.1 North America
      • 6.3.1.1 United States
      • 6.3.1.2 Canada
    • 6.3.2 Europe
      • 6.3.2.1 United Kingdom
      • 6.3.2.2 Germany
      • 6.3.2.3 France
      • 6.3.2.4 Rest of the Europe
    • 6.3.3 Asia-Pacific
      • 6.3.3.1 China
      • 6.3.3.2 Japan
      • 6.3.3.3 India
      • 6.3.3.4 Rest of the Asia-Pacific
    • 6.3.4 Latin America
    • 6.3.5 Middle East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles*
    • 7.1.1 Alteryx Inc.
    • 7.1.2 IBM Corporation
    • 7.1.3 Knime AG
    • 7.1.4 Microsoft Corporation
    • 7.1.5 Qliktech International AB
    • 7.1.6 Oracle Corporation
    • 7.1.7 Altair Engineering Inc. (RapidMiner Inc.)
    • 7.1.8 SAP SE
    • 7.1.9 SAS Institute Inc.
    • 7.1.10 Tibco Software Inc.(Cloud Software Group)
    • 7.1.11 NEC Corporation
    • 7.1.12 Fujitsu Ltd
    • 7.1.13 Toshiba Digital Solutions Corporation

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET