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市場調查報告書
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1536813

製造業巨量資料分析：市場佔有率分析、產業趨勢/統計、成長預測（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個工作天內

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簡介目錄

2024年，全球製造業巨量資料分析市場規模將達到90.7億美元，2024-2029年預測期間複合年成長率為16.24%，預計到2029年將達到192.5億美元。

製造市場中的巨量資料分析

推動市場成長的關鍵因素包括不斷發展的技術、資產、以工程為導向的價值鏈以及以工業4.0為代表的快速工業自動化。市場規模和估計反映了市場供應商透過為半導體、航太和汽車等各種最終用戶提供製造解決方案的巨量資料分析而產生的收益。

主要亮點

  • 工業製造商必須應對複雜的生產流程、供應鏈中公司之間的關係以及避免錯誤的持續壓力。因此，製造商需要擴展資料來源以降低成本、提高產品品質並提高效率。使用巨量資料分析的公司可以改善關鍵流程、消除瓶頸、預測需求並預測潛在的故障和延誤。
  • 隨著連網型設備和感測器的激增以及M2M通訊的實現，製造業產生的資料量正在顯著增加。這些資料點的範圍可以從詳細說明材料經歷一個製程週期所需時間的指標到更複雜的指標，例如汽車產業中的材料應力能力計算。
  • 隨著世界各地的製造商意識到將巨量資料分析整合到石油和天然氣、汽車、食品和飲料、煉油廠、塑膠和化學品等行業的製造業中的好處，製造業巨量資料正在增加。製造商擴大採用巨量資料分析解決方案來生產高精度和準確的產品和設備。例如，以噴射引擎、機車、渦輪機和醫療成像設備製造商而聞名的通用電氣公司也在根據其生成的大量資料開發其設備的智慧、連網型版本。
  • 阻礙所研究市場成長的因素之一是缺乏有效處理和分析非結構化資料技能和意識。對巨量資料安全性的擔憂也是阻礙工業製造商市場採用的主要因素。
  • COVID-19 大流行擾亂了一些企業，但加速了一些行業向數位化的轉變。在一些採用數位技術進展緩慢的地區，製造商在各個領域的行為可能已經發生了永久性的改變。

製造業巨量資料分析的市場趨勢

汽車產業作為最終用戶正在快速成長

  • 全球汽車產業正在經歷變革時期，車型和燃料類型數量不斷增加，二手車價值波動，供應鏈​​挑戰阻礙了OEM預測未來價值和了解總擁有成本的能力。透過利用巨量資料、分析和洞察，工業供應商可以建立幫助OEM適應不斷變化的產業需求的解決方案。
  • 巨量資料分析允許汽車產業從 ERP 系統收集資料，並結合來自業務和供應鏈成員的多個職能部門的資訊。 M2M/IoT 連接是一種網路通訊，允許不同設備共用資料並執行自動化任務，無需人工干預。
  • RFID、感測器、條碼閱讀器和機器人現已成為工業製造現場的標準配置。這些設備大大增加了資料生成點的數量。
  • 汽車產業現在正在發展成為一個更資料主導的行業，以降低與有缺陷的組裝和過剩庫存相關的成本。現在可以更準確地規劃組裝維護。由於預測分析引入該行業，這一切成為可能。

北美將經歷最高的成長

  • 在工業4.0的推動下，美國在巨量資料分析產業不斷創新，鞏固其在全球市場的地位。該市場採用智慧技術也對國民經濟產生直接影響。
  • 美國是提供巨量資料分析解決方案的供應商的重要市場。工廠自動化的早期採用預計將在預測期內顯著成長。此外，該市場研究的所有主要供應商均位於美國。美國正處於第四次工業革命的邊緣，在大規模生產中利用資料，同時整合整個供應鏈中不同的製造系統和資料。這刺激了該國引進先進系統。
  • 此外，該國汽車產業巨量資料成長的主要驅動力是技術供應商的強大存在。這些參與者專注於建立合作夥伴關係、併購以及提供創新解決方案，以在區域和全球競爭格局中生存。
  • 汽車產業是工業自動化系統的最大消費者之一。加拿大擁有八家大型製造工廠，分別由豐田、雪佛蘭、本田和福特營運。此外，加拿大還有700家製造商生產符合汽車產業要求的零件。汽車產業是該地區最重要的產業，因為它對製造業的貢獻最大，預計將對研究市場產生正面影響。

製造業巨量資料分析產業概述

製造業巨量資料分析市場是半固定的。開放原始碼工具的可用性和巨量資料分析技術的大幅擴展功能吸引了公司與其他參與者競爭，從而導致成本上升並侵蝕行業盈利。主要參與者包括 Alteryx Inc.、IBM Corporation、Knime AG、Microsoft Corporation 和 Qliktech International AB。

  • 2023 年 12 月，Knime AG 發布了 KNIME 分析平台 5.2。新版本具有改進的使用者介面、更聰明、更透明的人工智慧助手，以及現代化的人工智慧腳本體驗。
  • 2023 年 6 月，穆迪公司和微軟宣佈建立合作夥伴關係，為金融服務提供下一代資料、分析、研究、協作和風險解決方案。此次合作將在微軟人工智慧和穆迪專有資料、分析和研究的幫助下創建創新產品，增強企業智慧和風險評估洞察力。

其他好處

  • Excel 格式的市場預測 (ME) 表
  • 3 個月分析師支持

目錄

第1章簡介

  • 研究假設和市場定義
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章市場洞察

  • 市場概況
  • 產業吸引力－波特五力分析
    • 供應商的議價能力
    • 買方議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭公司之間的敵對關係
  • 產業價值鏈分析
  • 評估 COVID-19 對產業的影響

第5章市場動態

  • 市場促進因素
    • 不斷發展的技術、資產和工程導向的價值鏈
    • 透過工業 4.0 實現快速工業自動化
  • 市場限制因素
    • 缺乏意識和安全擔憂
  • 市場機會
    • 預測分析工具的使用增加
    • 工業物聯網 (IIoT) 的採用率不斷提高

第6章 市場細分

  • 按最終用戶產業
    • 半導體
    • 航太
    • 車
    • 其他最終用戶產業
  • 按用途
    • 狀態監測
    • 品管
    • 庫存管理
    • 其他用途
  • 按地區
    • 北美洲
      • 美國
      • 加拿大
    • 歐洲
      • 英國
      • 德國
      • 法國
      • 歐洲其他地區
    • 亞太地區
      • 中國
      • 日本
      • 印度
      • 其他亞太地區
    • 拉丁美洲
    • 中東/非洲

第7章 競爭格局

  • 公司簡介
    • 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8章投資分析

第9章市場的未來

簡介目錄
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