巨量資料市場規模、佔有率及成長分析(按交付類型、部署類型、應用和地區分類)-製造業產業預測(2026年至2033年)
市場調查報告書
商品編碼
1902545

巨量資料市場規模、佔有率及成長分析(按交付類型、部署類型、應用和地區分類)-製造業產業預測(2026年至2033年)

Big Data In Manufacturing Industry Market Size, Share, and Growth Analysis, By Offering (Solutions, Services), By Deployment Mode (On-premises, Cloud), By Application, By Region -Industry Forecast 2026-2033

出版日期: | 出版商: SkyQuest | 英文 264 Pages | 商品交期: 3-5個工作天內

價格
簡介目錄

預計到 2024 年,全球製造業巨量資料市場規模將達到 65.2 億美元,到 2025 年將成長至 73.4 億美元,到 2033 年將成長至 188.2 億美元,在預測期(2026-2033 年)內,複合年成長率為 12.5%。

巨量資料分析正在透過增強風險評估、提高工作流程效率和改善流程品質來變革製造業。它能夠高效分析來自生產單元、產品品質指標和工廠車間的大量結構化和非結構化資料。透過識別趨勢並提供可執行的洞察,巨量資料對於現代企業資源計畫 (ERP) 系統的演進至關重要,能夠推動傳統製造設施轉型為自動化、高效的生態系統。隨著製造商尋求最佳化資產、最大限度地減少停機時間並加快自動化整合,對巨量資料解決方案的需求正在加速成長。此外,物聯網和連接技術的進步正在推動智慧製造技術的興起,為全球製造業的巨量資料領域創造了巨大的成長機會。

全球製造業巨量資料市場按交付類型、實施類型、應用領域和地區進行細分。按交付類型分類,可分為解決方案和服務。依實施類型分類,可分為本機部署、雲端部署和混合式部署。依應用領域分類,可分為客戶分析、業務分析、品質評估、供應鏈管理、生產管理及其他。依地區分類,可分為北美、歐洲、亞太、拉丁美洲以及中東和非洲。

全球製造業巨量資料市場促進因素

隨著互聯互通環境的不斷演變,製造業的供應鏈管理變得日益複雜且耗時。深入檢驗供應鏈流程對於提高效率和簡化營運至關重要。巨量資料技術使製造商能夠監控、分析和最佳化整個供應鏈,使其成為營運的關鍵要素。由於供應鏈效率低下可能導致重大損失,巨量資料在幫助製造商識別和糾正流程相關錯誤方面發揮關鍵作用,從而確保任務順利執行和整體營運效率。

全球製造業巨量資料市場面臨的限制因素

全球製造業巨量資料市場面臨許多挑戰,主要原因在於其高成本。為了有效整合和管理巨量資料系統,製造商必須投資先進的硬體、複雜​​的軟體解決方案和專業人才。這種財務負擔對通常預算緊張的中小企業來說尤其沉重,阻礙了它們更廣泛地採用巨量資料技術。此外,人們對資料隱私和安全的日益關注也構成了另一道障礙。在利用巨量資料的同時,製造商也必須遵守嚴格的法規,並確保敏感資訊的安全。

全球巨量資料市場在製造業的發展趨勢

由於物聯網和先進分析技術的融合,全球製造業巨量資料市場正經歷顯著成長。製造商擴大利用物聯網設備從機器和流程中收集即時數據,從而獲得寶貴的洞察,進而提升營運效率。物聯網與巨量資料的整合使企業能夠採用預測性維護策略,最大限度地減少停機時間,並最佳化資源利用。隨著企業尋求利用數據的力量來改善決策並獲得競爭優勢,智慧製造解決方案的採用預計將加速,從根本上改變生產方式,並推動各行業的創新。

目錄

介紹

  • 調查目標
  • 調查範圍
  • 定義

調查方法

  • 資訊收集
  • 二手資料和一手資料方法
  • 市場規模預測
  • 市場假設與限制

執行摘要

  • 全球市場展望
  • 供需趨勢分析
  • 細分市場機會分析

市場動態與展望

  • 市場規模
  • 市場動態
    • 促進因素和機遇
    • 限制與挑戰
  • 波特分析

關鍵市場考察

  • 關鍵成功因素
  • 競爭程度
  • 關鍵投資機會
  • 市場生態系統
  • 市場吸引力指數(2025)
  • PESTEL 分析
  • 總體經濟指標
  • 價值鏈分析
  • 定價分析

全球製造業巨量資料市場規模(依產品類型分類)及複合年成長率(2026-2033 年)

  • 解決方案
  • 服務

全球製造業巨量資料市場規模(依部署方式及複合年成長率分類)(2026-2033 年)

  • 本地部署
  • 基於雲端的
  • 混合

全球製造業巨量資料市場規模(依應用領域分類)及複合年成長率(2026-2033 年)

  • 客戶分析
  • 營運分析
  • 品質評估
  • 供應鏈管理
  • 生產管理
  • 其他
    • 機器維護

全球製造業巨量資料市場規模及複合年成長率(2026-2033)

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 西班牙
    • 法國
    • 英國
    • 義大利
    • 其他歐洲地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太其他地區
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲地區
  • 中東和非洲
    • 海灣合作理事會國家
    • 南非
    • 其他中東和非洲地區

競爭資訊

  • 前五大公司對比
  • 主要企業的市場定位(2025 年)
  • 主要市場參與者所採取的策略
  • 近期市場趨勢
  • 公司市佔率分析(2025 年)
  • 主要企業公司簡介
    • 公司詳情
    • 產品系列分析
    • 依業務板塊進行公司股票分析
    • 2023-2025年營收年比比較

主要企業簡介

  • Siemens AG(Germany)
  • IBM Corporation(United States)
  • Microsoft Corporation(United States)
  • Oracle Corporation(United States)
  • SAP SE(Germany)
  • SAS Institute Inc.(United States)
  • Altair Engineering Inc.(United States)
  • NVIDIA Corporation(United States)
  • Samsung SDS Co., Ltd.(South Korea)
  • ASML Holding NV(Netherlands)
  • Wiwynn Corporation(Taiwan)
  • Alteryx Inc.(United States)
  • Cloudera, Inc.(United States)
  • Teradata Corporation(United States)
  • TIBCO Software Inc.(United States)
  • MicroStrategy Incorporated(United States)
  • FICO(Fair Isaac Corporation)(United States)
  • Databricks(United States)

結論與建議

簡介目錄
Product Code: SQMIG45A2187

Global Big Data In Manufacturing Industry Market size was valued at USD 6.52 Billion in 2024 and is poised to grow from USD 7.34 Billion in 2025 to USD 18.82 Billion by 2033, growing at a CAGR of 12.5% during the forecast period (2026-2033).

Big data analytics is transforming the manufacturing industry by enhancing risk assessment, streamlining workflows, and improving process quality. It efficiently analyzes a vast array of structured and unstructured data from production units, product quality metrics, and factory floors. By identifying trends and delivering actionable insights, big data is integral to the evolution of modern enterprise resource planning (ERP) systems, enabling the transition of traditional manufacturing facilities into automated, efficient ecosystems. The demand for big data solutions is accelerating as manufacturers seek to optimize assets, minimize downtime, and expedite automation integration. Additionally, advancements in IoT and connectivity are fostering the rise of intelligent manufacturing technologies, paving the way for significant growth opportunities in the global big data in manufacturing sector.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Big Data In Manufacturing Industry market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Big Data In Manufacturing Industry Market Segments Analysis

Global Big DataInManufacturing Industry Market is segmented by Offering, Deployment,Applicationand region. Based on Offering, the market is segmented into Solution and Services. Based on Deployment, the market is segmented into On Premise, Cloud-based and Hybrid. Based on Application, the market is segmented into Customer Analytics, Operational Analytics, Quality Assessment, Supply Chain Management, Production Management and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, LatinAmerica and Middle East & Africa.

Driver of the Global Big Data In Manufacturing Industry Market

As the interconnected environment continues to evolve, supply chain management within the manufacturing sector is increasingly complex and requires more time to navigate. To enhance efficiency and streamline operations, a detailed examination of the supply chain process is essential. Big data technologies empower manufacturers to monitor, analyze, and optimize the entire supply chain, transforming it into a crucial element of their operations. Given that inefficiencies in the supply chain can lead to significant losses, big data plays a vital role in helping manufacturers identify and rectify process-related errors, ensuring smoother execution of tasks and overall operational effectiveness.

Restraints in the Global Big Data In Manufacturing Industry Market

The Global Big Data in the Manufacturing Industry market faces significant challenges, primarily due to high costs associated with implementation. Manufacturers are required to invest in advanced hardware, sophisticated software solutions, and skilled talent to effectively integrate and manage big data systems. This financial strain proves particularly burdensome for small and medium-sized enterprises (SMEs), which typically operate within tight budget constraints, hindering their ability to adopt big data technologies on a broader scale. Additionally, growing concerns over data privacy and security pose further hurdles, as manufacturers must navigate stringent regulations and ensure the protection of sensitive information while leveraging big data.

Market Trends of the Global Big Data In Manufacturing Industry Market

The Global Big Data in Manufacturing Industry market is witnessing significant growth driven by the integration of IoT and advanced analytics. Manufacturers are increasingly leveraging IoT devices to capture real-time data from machinery and processes, enabling them to unlock valuable insights that enhance operational efficiency. This convergence of IoT and big data empowers organizations to adopt predictive maintenance strategies, minimizing downtime and optimizing resource usage. As businesses seek to harness the power of data for improved decision-making and competitive advantage, the trend towards embracing smart manufacturing solutions is set to accelerate, fundamentally transforming production methodologies and driving innovation across the sector.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2025
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis

Global Big Data In Manufacturing Industry Market Size by Offering & CAGR (2026-2033)

  • Market Overview
  • Solution
  • Services

Global Big Data In Manufacturing Industry Market Size by Deployment & CAGR (2026-2033)

  • Market Overview
  • On Premise
  • Cloud-based
  • Hybrid

Global Big Data In Manufacturing Industry Market Size by Application & CAGR (2026-2033)

  • Market Overview
  • Customer Analytics
  • Operational Analytics
  • Quality Assessment
  • Supply Chain Management
  • Production Management
  • Others
    • Machine Maintenance

Global Big Data In Manufacturing Industry Market Size & CAGR (2026-2033)

  • North America (Offering, Deployment, Application)
    • US
    • Canada
  • Europe (Offering, Deployment, Application)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Offering, Deployment, Application)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Offering, Deployment, Application)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Offering, Deployment, Application)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2025
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2025
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2023-2025)

Key Company Profiles

  • Siemens AG (Germany)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Oracle Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAP SE (Germany)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAS Institute Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Altair Engineering Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • NVIDIA Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Samsung SDS Co., Ltd. (South Korea)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • ASML Holding N.V. (Netherlands)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Wiwynn Corporation (Taiwan)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Alteryx Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cloudera, Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Teradata Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • TIBCO Software Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • MicroStrategy Incorporated (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • FICO (Fair Isaac Corporation) (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Databricks (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations