製造業におけるビッグデータの市場規模、シェア、成長分析：提供別、展開別、用途別、地域別 - 産業予測 2025～2032年

製造業におけるビッグデータの世界市場規模は2023年に58億米ドルと評価され、予測期間（2025-2032年）のCAGRは12.5%で、2024年の65億2,000万米ドルから2032年には167億4,000万米ドルに成長する見通しです。

ビッグデータ分析ソフトウェアは、リスクパターンの分析、ワークフローの最適化、様々なプロセスにおける品質向上により、製造業に革命をもたらしています。生産ラインや品質評価から得られる膨大な量の構造化・非構造化データを処理することで、これらのソリューションは新たな動向や実用的な洞察を明らかにし、ビジネスを前進させる。第4世代の企業資源計画（ERP）システムにおける重要な要素として、ビッグデータは時代遅れの設備を自動化された効率的なオペレーションに変えます。製造業における世界のビッグデータ市場は、需要予測アプリケーション、資産最適化ソリューション、ダウンタイム削減の必要性によって、大幅な成長が見込まれています。センサーやモノのインターネットなどの先端技術の統合は、完全なオペレーション自動化を実現するビッグデータの可能性をさらに強調し、インテリジェント製造業の幕開けを告げます。

目次

イントロダクション

• 調査の目的
• 調査範囲
• 定義

調査手法

• 情報調達
• 二次と一次データの方法
• 市場規模予測
• 市場の前提条件と制限

エグゼクティブサマリー

• 世界市場の見通し
• 供給と需要の動向分析
• セグメント別機会分析

市場力学と見通し

• 市場概要
• 市場規模
• 市場力学
  • 促進要因と機会
  • 抑制要因と課題
• ポーターの分析

主な市場の考察

• 重要成功要因
• 競合の程度
• 主な投資機会
• 市場エコシステム
• 市場の魅力指数（2024年）
• PESTEL分析
• マクロ経済指標
• バリューチェーン分析
• 価格分析

製造業におけるビッグデータ市場規模：提供別& CAGR（2025-2032）

• 市場概要
• ソリューション
• サービス

製造業におけるビッグデータ市場規模：展開別& CAGR（2025-2032）

• 市場概要
• オンプレミス
• クラウドベース
• ハイブリッド

製造業におけるビッグデータ市場規模：用途別& CAGR（2025-2032）

• 市場概要
• 顧客分析
• 運用分析
• 品質評価
• サプライチェーンマネジメント
• 生産管理
• その他
  • 機械メンテナンス

製造業におけるビッグデータ市場規模：地域別& CAGR（2025-2032）

• 北米
  • 米国
  • カナダ
• 欧州
  • ドイツ
  • スペイン
  • フランス
  • 英国
  • イタリア
  • その他欧州地域
• アジア太平洋地域
  • 中国
  • インド
  • 日本
  • 韓国
  • その他アジア太平洋地域
• ラテンアメリカ
  • ブラジル
  • その他ラテンアメリカ地域
• 中東・アフリカ
  • GCC諸国
  • 南アフリカ
  • その他中東・アフリカ

競合情報

• 上位5社の比較
• 主要企業の市場ポジショニング（2024年）
• 主な市場企業が採用した戦略
• 最近の市場動向
• 企業の市場シェア分析（2024年）
• 主要企業の企業プロファイル
  • 企業の詳細
  • 製品ポートフォリオ分析
  • 企業のセグメント別シェア分析
  • 収益の前年比比較（2022-2024）

主要企業プロファイル

• 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 N.V.（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）

結論と提言

Global Big Data In Manufacturing Industry Market size was valued at USD 5.8 billion in 2023 and is poised to grow from USD 6.52 billion in 2024 to USD 16.74 billion by 2032, growing at a CAGR of 12.5% during the forecast period (2025-2032).

The big data analytics software is revolutionizing the manufacturing industry by analyzing risk patterns, optimizing workflows, and enhancing quality across various processes. By processing vast amounts of structured and unstructured data from production lines and quality assessments, these solutions reveal emerging trends and actionable insights, propelling businesses forward. As a critical element in fourth-generation enterprise resource planning (ERP) systems, big data transforms outdated facilities into automated, efficient operations. The global big data market in manufacturing is poised for substantial growth, driven by demand forecasting applications, asset optimization solutions, and the need for reduced downtime. The integration of advanced technologies such as sensors and the Internet of Things further emphasizes big data's potential in achieving full operational automation, marking the dawn of intelligent manufacturing.

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, LatinAmericaand Middle East & Africa.

Driver of the Global Big Data In Manufacturing Industry Market

The increasing integration of interconnected environments has made supply chain management in the manufacturing sector more intricate and time-intensive. To enhance efficiency and simplify operations, a detailed examination of processes is essential. Big data technology equips manufacturers with the tools to monitor, analyze, and refine their entire supply chain, which is often more critical than the production process itself due to the potential for losses stemming from operational inefficiencies. By leveraging big data, manufacturers gain insights into their workflows, enabling them to identify and rectify errors, thus facilitating smoother task completion and operational effectiveness.

Restraints in the Global Big Data In Manufacturing Industry Market

A significant challenge confronting the global big data in the manufacturing industry is the substantial financial investment required. Manufacturers must allocate resources for cutting-edge hardware, sophisticated software solutions, and highly skilled personnel to effectively implement and manage big data systems. This considerable cost poses a particular threat to small and medium-sized enterprises (SMEs), which typically operate on limited budgets and may find it difficult to adopt big data technologies broadly. Additionally, the rising concerns surrounding data privacy and security further complicate the landscape, hindering the seamless integration of big data solutions in manufacturing processes.

Market Trends of the Global Big Data In Manufacturing Industry Market

The Global Big Data in Manufacturing Industry market is rapidly evolving, driven by the integration of IoT technologies and predictive maintenance solutions. As IoT devices generate vast amounts of real-time data from production lines, manufacturers are leveraging this information to enhance operational efficiency and minimize downtime. The synergy between IoT and big data analytics is empowering organizations to extract valuable insights, fostering smarter decision-making and improved productivity. Additionally, the growing emphasis on predictive maintenance is enabling proactive management of equipment, thereby reducing unexpected failures and lower operational costs. This trend signifies a transformative shift in manufacturing processes, positioning big data as a critical driver of innovation.

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, 2024
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis

Global Big Data In Manufacturing Industry Market Size by Offering & CAGR (2025-2032)

• Market Overview
• Solution
• Services

Global Big Data In Manufacturing Industry Market Size by Deployment & CAGR (2025-2032)

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

Global Big Data In Manufacturing Industry Market Size by Application & CAGR (2025-2032)

• 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 (2025-2032)

• 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, 2024
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2024
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2022-2024)

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