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市場調查報告書
商品編碼
1831998

製造業預測分析市場規模、佔有率、趨勢及預測（按組件、部署模型、應用、最終用途產業和地區），2025 年至 2033 年

Manufacturing Predictive Analytics Market Size, Share, Trends and Forecast by Component, Deployment Model, Application, End Use Industry, and Region, 2025-2033
出版日期: | 出版商: IMARC | 英文 144 Pages | 商品交期: 2-3個工作天內

價格

2024 年全球製造業預測分析市場規模為 16.0398 億美元。展望未來， IMARC Group估計到 2033 年市場規模將達到 66.1741 億美元，2025 年至 2033 年的複合年成長率為 16.20%。北美目前佔據市場主導地位，2024 年的市佔率將超過 46.0%。製造業預測分析市場佔有率正在擴大，這得益於工業 4.0 的普及、對營運效率的需求不斷成長、人工智慧 (AI)、巨量資料和機器學習 (ML) 的進步、對預測性維護的關注度不斷提高以及製造過程中對數據驅動決策的需求。

全球各地製造業的快速數字化是推動市場發展的主要原因之一。此外，對智慧可擴展工廠解決方案日益成長的需求也推動了市場的成長。製造業預測分析利用統計工具和各種資料點來提升產品品質、洞察市場趨勢並進行預防性維護。這是因為隨著對合適的遠端監控解決方案的需求不斷成長，市場也在不斷成長。各種技術進步，例如人工智慧 (AI)、巨量資料和機器學習 (ML) 解決方案等製造技術的加入，都為製造業預測分析市場帶來了良好的前景。

美國成為製造業預測分析的主要貢獻者的原因有很多。美國市場最具影響力的趨勢之一是人工智慧和機器學習的應用日益增加。這使製造商能夠分析大型資料集、識別模式並對機器性能、產品品質和供應鏈中斷做出準確預測。人工智慧預測分析用於預測性維護，可減少非計劃性停機時間，從而最佳化設備的使用壽命。製造商發現人工智慧演算法在生產過程中獲取即時資訊方面有更廣泛的用途，從而提高效率並節省成本。隨著人工智慧和機器學習模型的進步，它們在預測分析解決方案中的應用也將促進市場的成長。據IMARC Group稱，到 2032 年，美國人工智慧市場規模預計將達到 970.842 億美元。

製造業預測分析市場趨勢：

機器學習和人工智慧的進步

機器學習 (ML) 和人工智慧 (AI) 技術構成了製造業預測分析成長的支柱。這些技術使製造商能夠處理大量營運資料，從而識別模式並預測潛在的設備故障。人工智慧驅動的預測模型可以幫助製造商調整施工進度、減少停機時間並恢復整體營運效率。因此，隨著演算法的進步，預測的精度也會提高，維護成本也會降低，資產管理也會增強。一份產業報告顯示，2024 年 4 月，日本政府向五家公司授予了 4.7 億美元的招標，用於開發一台人工智慧超級電腦。預計這將加快人工智慧和機器學習應用的步伐，使日本成為人工智慧驅動製造業創新的領導者。人工智慧超級電腦的發展可能會增強各行各業的預測分析能力，提高生產力，改善決策，並為製造流程提供更永續的方法。預計這些進步將極大地促進製造業人工智慧預測分析市場的持續成長。

物聯網 (IoT) 和感測器整合

物聯網透過嵌入在設備、機器和生產線中的感測器傳輸即時資料，徹底改變了製造業，從而推動了製造業預測分析市場的成長。此類資訊對於預測分析的關鍵意義在於，它能夠追蹤機器層面的健康狀況，以便在故障發生前預測潛在故障。透過物聯網設備及時獲取可操作的洞察，製造商將能夠更輕鬆地制定決策，從而提高設備的營運效率。物聯網驅動的預測性維護能夠有效確保資產生命週期，避免增加非計畫性停機次數，並維持整體精度優勢，這將進一步提升其應用。停機時間的減少將提高生產效率，同時大幅降低成本。這使得物聯網成為製造業的主要成長動力。隨著物聯網技術的普及，製造商能夠最佳化營運，最大限度地降低維護成本，並提高整體生產力。 2024年，Guidewheel推出了Scout，這是一款新產品，旨在幫助製造商預測維護需求，並在問題導致機器停機或故障之前檢測到自發的預警訊號。

雲端運算和巨量資料

雲端運算和巨量資料技術是預測分析在製造業成功的關鍵要素。它們使製造商能夠收集、儲存和處理來自多個來源的大量資料集。這些技術支援高級分析和洞察，幫助製造商更好地最佳化營運和決策。這意味著透過使用雲端基礎設施來擴展分析能力並存取高效能運算資源，從而以經濟高效的方式獲取洞察。據報道，加拿大總理透露，計劃在2024年4月投資17.7億美元用於發展該國的人工智慧。隨著人工智慧能力的增強，這項策略性投資將進一步加速製造業以及其他產業的成長。未來的人工智慧發展將帶來更強大的預測分析工具，進而提高製造業企業的自動化程度和效率。因此，這可能是發展製造業的絕佳投資，因為它將推動這些公司採用人工智慧驅動的預測性維護、供應鏈最佳化和生產預測等技術，推動產業更快地實現數位轉型。

目錄

第1章：前言

第2章：範圍與方法

  • 研究目標
  • 利害關係人
  • 資料來源
    • 主要來源
    • 二手資料
  • 市場評估
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第3章：執行摘要

第4章：簡介

第5章：全球製造業預測分析市場

  • 市場概況
  • 市場表現
  • COVID-19的影響
  • 市場預測

第6章：市場細分：按組成部分

  • 軟體
  • 服務

第7章：市場區隔：依部署模型

  • 基於雲端
  • 本地

第 8 章：市場區隔：按應用

  • 需求預測
  • 機械檢查與維護
  • 產品開發
  • 供應鏈管理
  • 其他

第9章：市場區隔：依最終用途產業

  • 半導體和電子
  • 能源和電力
  • 製藥
  • 汽車
  • 重金屬及機械製造
  • 其他

第10章：市場細分：按地區

  • 北美洲
    • 美國
    • 加拿大
  • 亞太
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 其他
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他
  • 中東和非洲

第 11 章：SWOT 分析

第 12 章：價值鏈分析

第 13 章：波特五力分析

第 14 章：價格分析

第 15 章：競爭格局

  • 市場結構
  • 關鍵參與者
  • 關鍵參與者簡介
    • Alteryx Inc.
    • BRIDGEi2i Analytics
    • Cisco Systems Inc.
    • Civis Analytics
    • FICO
    • International Business Machines Corporation
    • Microsoft Corporation
    • Oracle Corporation
    • RapidMiner Inc.
    • SAP SE
    • SAS Institute Inc.
    • TIBCO Software Inc.
Product Code: SR112025A4480

The global manufacturing predictive analytics market size was valued at USD 1,603.98 Million in 2024. Looking forward, IMARC Group estimates the market to reach USD 6,617.41 Million by 2033, exhibiting a CAGR of 16.20% from 2025-2033. North America currently dominates the market, holding a market share of over 46.0% in 2024. The manufacturing predictive analytics market share is expanding, driven by increasing adoption of Industry 4.0, rising demand for operational efficiency, advancements in artificial intelligence (AI), big data and machine learning (ML), heightened concentration on predictive maintenance, and the need for data-driven decision-making in manufacturing processes.

The rapid digitization of the manufacturing industry in different parts of the world is one of the main reasons driving the market. In addition to this, the growing need for smart and scalable factory solutions is giving a push to the growth of the market. Manufacturing predictive analytics utilizes statistical tools and various data points to enhance product quality, gain insight into market trends, and perform preventive maintenance. This is due to the fact that with increased demand for proper remote monitoring solutions, the market is growing. Various technological improvements like the addition of manufacturing technologies with artificial intelligence (AI), big data and machine learning (ML) solutions, are offering a favorable manufacturing predictive analytics market outlook.

There are many reasons why the United States has emerged as a key contributor to the manufacturing predictive analytics. One of the most influential trends in the US market is the increasing employment of AI and ML. This allows manufacturers to analyze large datasets, identify patterns, and make accurate predictions regarding machine performance, product quality, and supply chain disruptions. AI-powered predictive analytics is used in predictive maintenance and reduces unplanned downtime, thereby optimizing the equipment's lifespan. The manufacturers are finding greater uses of AI algorithms in gaining real-time information in their production processes to result in efficiency improvement with cost savings. As AI and ML models advance, so will their application to predictive analytics solutions in improving the growth of the market. According to the IMARC Group, the US AI market is projected to reach USD 97,084.2 Million by 2032.

Manufacturing Predictive Analytics Market Trends:

Advancements in ML and AI

Machine learning (ML) and artificial intelligence (AI) technologies form the backbone of growth in predictive analytics in the manufacturing sector. These technologies empower manufacturers to process large volumes of operational data, enabling them to identify patterns and predict potential equipment failures. AI-driven predictive models can help manufacturers adjust construction schedules, cut downtime, and recover overall operational efficiency. As the algorithms advance, therefore, so does the precision of the prediction, and indeed more in maintenance costs, as well as enhanced asset management. In April 2024, the Japanese government awarded USD 470 Million in tender to five companies for developing an AI supercomputer, as per an industry report. This is expected to accelerate the pace of AI and ML applications, making Japan a leader in AI-driven manufacturing innovations. The development of AI supercomputers will likely enhance predictive analytics capabilities across industries, boost productivity, improve decision-making, and offer a more sustainable approach to manufacturing processes. These advancements are expected to significantly contribute to the continued growth of the AI-powered predictive analytics market within the manufacturing sector.

Internet of Things (IoT) and Sensor Integration

IoT has transformed the manufacturing industry by enabling the delivery of real-time data through sensors embedded in equipment, machines, and production lines, thereby impelling the manufacturing predictive analytics market growth. The key relevance for this kind of information for predictive analytics will enable the tracking of health at machine levels for potential breakdown prediction prior to breakdown occurrence. Manufacturers will improve the operational efficiency of equipment through decision-making capabilities made easier through the timely availability of actionable insights via IoT devices. The effectiveness of IoT-driven predictive maintenance in ensuring asset lifecycles without increasing instances of unplanned downtime and maintaining an overall precision advantage will increase its usage further. Such reduction in downtime would increase the production efficiency but at the same time reduce costs considerably. It makes IoT a major growth driver for the manufacturing industry. With the uptake of IoT technologies, manufacturers position themselves to optimize their operations, minimize the costs associated with maintenance, and boost productivity as a whole. In 2024, Guidewheel introduced Scout, a new product designed to help manufacturers predict maintenance needs and detect spontaneous warning signals of problems before they result in machine downtime or failures.

Cloud Computing and Big Data

Both cloud computing and big data technologies are critical elements that make the success of predictive analytics in manufacturing a reality. They allow manufacturers to collect, store, and process huge data sets that come from multiple sources. Advanced analytics and insights are supported by such technologies, which can help manufacturers do better things in optimizing their operations and decision-making. This means scaling up analytics capabilities and access to high-powered computational resources through the use of cloud infrastructure to gain insights cost-effectively and more effectively. Canada's Prime Minister revealed, according to reports, a planned investment of USD 1.77 Billion for the development of artificial intelligence in the country for April 2024. Such strategic investment will further accelerate growth in manufacturing industry sectors, along with other industry sectors, as AI capabilities grow stronger. The future of AI development will bring improved tools for predictive analytics, making automation and efficiency better for companies in the manufacturing industry. That way, it could be an excellent investment in developing the manufacturing industry because it is going to push such companies into incorporating AI-driven predictive maintenance, chain optimization, and production forecasting as techniques that boost the industry toward faster digital changeover.

Manufacturing Predictive Analytics Industry Segmentation:

Analysis by Component:

  • Software
  • Services

Software leads the market. The software segment is an important part of the market, which includes advanced analytics platforms, AI-driven machine learning models, and data visualization tools. Predictive analytics software enables manufacturers to process huge quantities of historical and real-time information to produce actionable insights that enhance production efficiency, minimize downtime, and boost supply chain management, thereby driving the manufacturing predictive analytics market demand. Market growth has been boosted by an increasing adoption of cloud-based analytics solutions, as it allows manufacturers to access predictive insights from anywhere remote with seamless integration into existing enterprise systems, for example, Enterprise Resource Planning (ERP) and Manufacturing Execution Systems (MES). As industrial automation and smart factory concepts increasingly grow, the demand for sophisticated predictive analytics software solutions is expected to be huge.

Analysis by Deployment Model:

  • Cloud-based
  • On-premises

On-premises leads the market. The on-premises deployment model remains a preferred choice for large manufacturing enterprises that require greater control over their data, security, and compliance requirements. On-premises predictive analytics solutions are hosted within a company's own information technology (IT) infrastructure, ensuring data sovereignty and minimizing reliance on third-party cloud service providers. This model is particularly advantageous for manufacturers operating in highly regulated industries, such as aerospace, defense, and pharmaceuticals, where data security and privacy concerns are paramount. Additionally, on-premises solutions offer enhanced customization and integration capabilities, allowing manufacturers to tailor analytics models to their specific operational needs. However, the high initial investment in hardware, software, and IT infrastructure, along with ongoing maintenance costs, may pose challenges for smaller manufacturers. Despite these cost considerations, on-premises predictive analytics continues to be a viable option for enterprises prioritizing data control and long-term strategic investments in digital transformation.

Analysis by Application:

  • Demand Forecasting
  • Machinery Inspection and Maintenance
  • Product Development
  • Supply Chain Management
  • Others

Demand forecasting is a critical application of predictive analytics in the manufacturing sector, enabling companies to anticipate market trends, consumer preferences, and production requirements. By leveraging historical sales data, economic indicators, and external factors such as seasonality and geopolitical events, manufacturers can optimize inventory levels, reduce waste, and prevent stock shortages or overproduction. Predictive analytics models help businesses adjust their production schedules in real time, ensuring alignment with fluctuating demand patterns.

Predictive analytics is vital for machinery inspection and maintenance, enabling manufacturers to identify possible equipment failures ahead of time. Conventional maintenance approaches, like reactive or planned maintenance, frequently lead to avoidable downtime and increased expenses. Predictive maintenance systems employ IoT sensors, real-time data analysis, and AI-based algorithms to oversee machine performance, identify irregularities, and forecast component breakdowns. This proactive strategy decreases unexpected downtime, prolongs equipment longevity, and lessens operational interruptions.

Predictive analytics is transforming product development by enabling manufacturers to analyze customer feedback, market trends, and production data to enhance innovation and design. By leveraging data-driven insights, manufacturers can identify consumer preferences, predict product performance, and optimize material usage. This results in reduced development cycles, lower production costs, and improved product quality.

Supply chain management is one of the most impactful applications of predictive analytics in manufacturing, helping companies mitigate risks, improve logistics, and enhance overall efficiency. By analyzing data from multiple sources, including supplier performance, transportation networks, and market conditions, predictive analytics provides manufacturers with actionable insights to optimize inventory levels, reduce lead times, and minimize disruptions.

Analysis by End Use Industry:

  • Semiconductor and Electronics
  • Energy and Power
  • Pharmaceutical
  • Automobile
  • Heavy Metal and Machine Manufacturing
  • Others

The semiconductor and electronics industry is a major adopter of predictive analytics, utilizing advanced data modeling to optimize manufacturing processes, improve yield rates, and enhance quality control. Given the high precision required in semiconductor fabrication, predictive analytics helps identify defects in microchips and electronic components before they become critical issues. Additionally, predictive maintenance is widely used in this sector to minimize downtime of highly sophisticated and expensive manufacturing equipment.

The energy and power sector relies heavily on predictive analytics to optimize operations, improve asset management, and enhance energy efficiency. In manufacturing facilities, predictive analytics is used to monitor power consumption patterns, identify inefficiencies, and implement energy-saving strategies. Additionally, energy-intensive industries use predictive maintenance to ensure the reliability of turbines, generators, and other critical infrastructure, reducing unplanned downtime and maintenance costs.

In the pharmaceutical industry, predictive analytics is revolutionizing manufacturing by optimizing production processes, ensuring regulatory compliance, and improving drug quality. By analyzing data from production lines, predictive models can detect potential deviations that may lead to defective batches, thereby reducing waste and improving efficiency. Additionally, predictive analytics plays a key role in supply chain management by forecasting demand for pharmaceutical products, ensuring the timely availability of raw materials, and reducing the risk of shortages.

The automotive industry is experiencing a digital transformation, with predictive analytics playing a crucial role in production optimization, predictive maintenance, and supply chain efficiency. Automotive manufacturers use predictive analytics to monitor assembly line performance, reduce production bottlenecks, and ensure high-quality manufacturing. Additionally, predictive maintenance is widely adopted to prevent unexpected breakdowns in robotic manufacturing systems and machinery.

Heavy metal and machine manufacturing companies are leveraging predictive analytics to improve production efficiency, reduce downtime, and enhance equipment reliability. This industry relies on large-scale machinery that requires continuous monitoring and maintenance to avoid costly disruptions. Predictive maintenance solutions analyze real-time sensor data for identifying early signs of wear and tear, facilitating manufacturers to schedule maintenance proactively and minimize unexpected failures.

Regional Analysis:

  • North America
    • United States
    • Canada
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa

In 2024, North America accounted for the largest market share of over 46.0%. One of the most significant trends in the North American market is the increasing use of AI and ML technologies. These tools allow manufacturers to process extensive amounts of historical and real-time data to predict machine failures, optimize production processes, and enhance product quality. AI-driven predictive analytics models continuously learn from data patterns, improving accuracy and efficiency over time. The proliferation of Industrial IoT (IIoT) is another major driver of predictive analytics adoption in North America. IIoT connects manufacturing equipment, sensors, and systems, generating large volumes of real-time data. Predictive maintenance is among the most significant uses of predictive analytics within the manufacturing sector. Conventional maintenance approaches like reactive and preventive maintenance frequently lead to elevated maintenance expenses and unexpected downtime. Predictive analytics tackles these issues by examining equipment performance data to identify early indicators of potential failures. This proactive strategy enables manufacturers to plan maintenance tasks prior to failures happening, thereby increasing the longevity of equipment and lowering repair expenses. In 2024, Environics Analytics (EA) unveiled a number of new improvements to its MobileScapes product line. For the first time ever globally, EA's data scientists have successfully merged SDK data from GPS-enabled applications with cellular network location data to assess human movement. It will emphasize EA's stance in delivering the most precise and extensive mobile movement data for use in marketing and business applications across Canada.

Manufacturing Predictive Analytics Market Regional Takeaways:

United States Manufacturing Predictive Analytics Market Analysis

The United States hold 85.70% share in North America. According to S&P Global, in December 2024, the sale of passenger cars in the US was 3.2 Million SAAR. Therefore, the growing trend in the automobile industry serves as a crucial aspect of boosting the manufacturing predictive analytics market in the United States. As the automotive sector is continuing to evolve because of improvements in EVs and autonomous driving technology, manufacturers are increasingly adopting predictive analytics to optimize production, reduce costs, and improve efficiency. Predictive analytics will enable the automobile manufacturing companies to predict their demand, manage supply chain disruptions, and ensure consistent quality through predictive maintenance and real-time data monitoring. With advanced algorithms and machine learning, manufacturers can optimize schedules, reduce downtime, and boost OEE. In fact, since the U.S. automotive market continues upwardly, predictive analytics will be significantly important for car manufacturers to ensure sustainability in being competitive, upgrading processes, and maintaining a growth volume of new autos.

Europe Manufacturing Predictive Analytics Market Analysis

Europe's semiconductor industry is a significant growth driver for the manufacturing predictive analytics market in the region, accounting for approximately Euro 51 Billion (USD 53.2 Billion) in 2022 and 9.3% of the global market share, as per an industry report. The semiconductor sector is highly complex and requires precise and efficient manufacturing processes to meet global demand. The increased demand for semiconductors has posed stiff challenges in optimizing production while minimizing waste with the applied highest standards of quality in production. Manufacturers in Europe are now using predictive analytics to enable them to streamline supply chains, optimize demand forecasting, and prevent downtime due to machine breakdowns. Predictive maintenance and real-time data analysis efficiently utilize resources for better overall productivity by reducing waste and improving product quality. With the strong position Europe has in the semiconductor industry and the increasing interest in digital transformation, the adoption of predictive analytics should accelerate significantly, which will make the manufacturing sector grow significantly while improving competitiveness in the global market.

Asia Pacific Manufacturing Predictive Analytics Market Analysis

According to an industry report, Asia-Pacific's pharmaceutical market is also expected to grow at 4.2% CAGR during 2022-2027 in the region and China and Japan would lead the market. This is one of the important growth drivers for the manufacturing predictive analytics in the Asian region. The expanded pharmaceutical industry in Asia-Pacific increases the demand for the advanced manufacturing solutions related to the streamlining of the production processes with efficiency and product quality. Predictive analytics is a crucial element in the optimization of production lines, demand forecasting, and the identification of risks in the manufacturing process. In countries like China and Japan, where pharmaceutical manufacturing is growing rapidly, it is important to integrate quality control, predictive maintenance, and supply chain optimization solutions for enhancing the operational performance of the manufacturing system. Predictive analytics allows manufacturers to predict equipment failures, minimize downtime, and reduce operational costs, thus ensuring the timely production of pharmaceutical products. With the growth of the pharmaceutical market, demand for predictive analytics in manufacturing will grow more significantly, forcing innovation and enhancing competitiveness in the region.

Latin America Manufacturing Predictive Analytics Market Analysis

Electric vehicles in Latin America is a fast-emerging focus that is driving the adoption of manufacturing predictive analytics. As per an industry report, the Brazilian government reduced the tax on electric vehicles, cutting the rates from 30% to 15% starting January 2024, and this is going to speed up the adoption of electric vehicles in the region. Additionally, large firms such as General Motors and Volkswagen are investing much, and GM is opening a new production line in Sao Paulo, which it announced in March 2023 to support the increased demand for electric vehicles. With EV production increasing, manufacturers are employing predictive analytics for optimizing production lines, reducing downtime, and managing supply chains more effectively. Predictive tools allow companies to track the health of their equipment, predict demand, and enhance their operational efficiency. The rise in EV manufacturing in Latin America requires advanced analytics solutions to streamline production, minimize costs, and maximize throughput. It makes predictive analytics the most important tool for improving manufacturing capabilities, hence further boosting growth in this sector in the region.

Middle East and Africa Manufacturing Predictive Analytics Market Analysis

A fast-evolving electric vehicle market in the Middle East and Africa (MEA) region is expected to grow to USD 54 Billion by 2035, as per an industry report. This market will be one of the primary growth drivers for the manufacturing predictive analytics market in the region, as manufacturers increase the scale of electric vehicle production and turn towards predictive analytics for more efficient and performing production lines. Predictive analytics optimizes manufacturing processes, reduces downtime, and improves the quality of EV components, such as batteries and motors, by predicting potential failures before they occur. In addition, the increasing demand for EVs is driving supply chain management advancements, with predictive analytics allowing manufacturers to predict demand, streamline inventory management, and reduce operational costs. Escalating productions of EVs, the growth of IoT and AI in manufacturing process, and wider adoption of predictive analytics are driving the region's growth. As the growth in the MEA is driven by the expanding EV market, the MEA manufacturing industry is more reliant on predictive analytics for cost reduction, operational efficiency, and innovation.

Top Manufacturing Predictive Analytics Companies:

A primary approach adopted by leading companies is the integration of advanced technologies such as ML, IoT and AI into their predictive analytics solutions. For instance, IBM Corporation launched the watsonx.data in 2023, which and spontaneously connect to data, prokaryote trustworthy insights, and lower data warehouse expenses. Optimized for every type of data analytics and AI workloads, watsonx.data amalgamates the simplicity of a data lake with the functionality of a data warehouse, assisting companies to scale data analytics and AI from anywhere. Moreover, to broaden their market reach and enhance solution offerings, key players are actively engaging in strategic partnerships and collaborations. These alliances enable companies to combine expertise, share resources, and deliver comprehensive solutions tailored to the diverse requirements of manufacturers. Mergers and acquisitions (M&A) are prevalent strategies among major players aiming to strengthen their market position and expand their technological capabilities. By acquiring companies with specialized expertise, larger firms can enhance their product portfolios and access innovative technologies.

The report provides a comprehensive analysis of the competitive landscape in the manufacturing predictive analytics market with detailed profiles of all major companies, including:

  • Alteryx Inc.
  • BRIDGEi2i Analytics
  • Cisco Systems Inc.
  • Civis Analytics
  • FICO
  • International Business Machines Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • RapidMiner Inc.
  • SAP SE
  • SAS Institute Inc.
  • TIBCO Software Inc.

Key Questions Answered in This Report

  • 1.How big is the manufacturing predictive analytics market?
  • 2.What is the future outlook of manufacturing predictive analytics market?
  • 3.What are the key factors driving the manufacturing predictive analytics market?
  • 4.Which region accounts for the largest manufacturing predictive analytics market share?
  • 5.Which are the leading companies in the global manufacturing predictive analytics market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Manufacturing Predictive Analytics Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Component

  • 6.1 Software
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Services
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast

7 Market Breakup by Deployment Model

  • 7.1 Cloud-based
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 On-premises
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Application

  • 8.1 Demand Forecasting
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Machinery Inspection and Maintenance
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Product Development
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Supply Chain Management
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 Others
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast

9 Market Breakup by End Use Industry

  • 9.1 Semiconductor and Electronics
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Energy and Power
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Pharmaceutical
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Automobile
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast
  • 9.5 Heavy Metal and Machine Manufacturing
    • 9.5.1 Market Trends
    • 9.5.2 Market Forecast
  • 9.6 Others
    • 9.6.1 Market Trends
    • 9.6.2 Market Forecast

10 Market Breakup by Region

  • 10.1 North America
    • 10.1.1 United States
      • 10.1.1.1 Market Trends
      • 10.1.1.2 Market Forecast
    • 10.1.2 Canada
      • 10.1.2.1 Market Trends
      • 10.1.2.2 Market Forecast
  • 10.2 Asia-Pacific
    • 10.2.1 China
      • 10.2.1.1 Market Trends
      • 10.2.1.2 Market Forecast
    • 10.2.2 Japan
      • 10.2.2.1 Market Trends
      • 10.2.2.2 Market Forecast
    • 10.2.3 India
      • 10.2.3.1 Market Trends
      • 10.2.3.2 Market Forecast
    • 10.2.4 South Korea
      • 10.2.4.1 Market Trends
      • 10.2.4.2 Market Forecast
    • 10.2.5 Australia
      • 10.2.5.1 Market Trends
      • 10.2.5.2 Market Forecast
    • 10.2.6 Indonesia
      • 10.2.6.1 Market Trends
      • 10.2.6.2 Market Forecast
    • 10.2.7 Others
      • 10.2.7.1 Market Trends
      • 10.2.7.2 Market Forecast
  • 10.3 Europe
    • 10.3.1 Germany
      • 10.3.1.1 Market Trends
      • 10.3.1.2 Market Forecast
    • 10.3.2 France
      • 10.3.2.1 Market Trends
      • 10.3.2.2 Market Forecast
    • 10.3.3 United Kingdom
      • 10.3.3.1 Market Trends
      • 10.3.3.2 Market Forecast
    • 10.3.4 Italy
      • 10.3.4.1 Market Trends
      • 10.3.4.2 Market Forecast
    • 10.3.5 Spain
      • 10.3.5.1 Market Trends
      • 10.3.5.2 Market Forecast
    • 10.3.6 Russia
      • 10.3.6.1 Market Trends
      • 10.3.6.2 Market Forecast
    • 10.3.7 Others
      • 10.3.7.1 Market Trends
      • 10.3.7.2 Market Forecast
  • 10.4 Latin America
    • 10.4.1 Brazil
      • 10.4.1.1 Market Trends
      • 10.4.1.2 Market Forecast
    • 10.4.2 Mexico
      • 10.4.2.1 Market Trends
      • 10.4.2.2 Market Forecast
    • 10.4.3 Others
      • 10.4.3.1 Market Trends
      • 10.4.3.2 Market Forecast
  • 10.5 Middle East and Africa
    • 10.5.1 Market Trends
    • 10.5.2 Market Breakup by Country
    • 10.5.3 Market Forecast

11 SWOT Analysis

  • 11.1 Overview
  • 11.2 Strengths
  • 11.3 Weaknesses
  • 11.4 Opportunities
  • 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

  • 13.1 Overview
  • 13.2 Bargaining Power of Buyers
  • 13.3 Bargaining Power of Suppliers
  • 13.4 Degree of Competition
  • 13.5 Threat of New Entrants
  • 13.6 Threat of Substitutes

14 Price Analysis

15 Competitive Landscape

  • 15.1 Market Structure
  • 15.2 Key Players
  • 15.3 Profiles of Key Players
    • 15.3.1 Alteryx Inc.
      • 15.3.1.1 Company Overview
      • 15.3.1.2 Product Portfolio
      • 15.3.1.3 Financials
    • 15.3.2 BRIDGEi2i Analytics
      • 15.3.2.1 Company Overview
      • 15.3.2.2 Product Portfolio
    • 15.3.3 Cisco Systems Inc.
      • 15.3.3.1 Company Overview
      • 15.3.3.2 Product Portfolio
      • 15.3.3.3 Financials
      • 15.3.3.4 SWOT Analysis
    • 15.3.4 Civis Analytics
      • 15.3.4.1 Company Overview
      • 15.3.4.2 Product Portfolio
    • 15.3.5 FICO
      • 15.3.5.1 Company Overview
      • 15.3.5.2 Product Portfolio
      • 15.3.5.3 Financials
      • 15.3.5.4 SWOT Analysis
    • 15.3.6 International Business Machines Corporation
      • 15.3.6.1 Company Overview
      • 15.3.6.2 Product Portfolio
      • 15.3.6.3 Financials
      • 15.3.6.4 SWOT Analysis
    • 15.3.7 Microsoft Corporation
      • 15.3.7.1 Company Overview
      • 15.3.7.2 Product Portfolio
      • 15.3.7.3 Financials
      • 15.3.7.4 SWOT Analysis
    • 15.3.8 Oracle Corporation
      • 15.3.8.1 Company Overview
      • 15.3.8.2 Product Portfolio
      • 15.3.8.3 Financials
      • 15.3.8.4 SWOT Analysis
    • 15.3.9 RapidMiner Inc.
      • 15.3.9.1 Company Overview
      • 15.3.9.2 Product Portfolio
    • 15.3.10 SAP SE
      • 15.3.10.1 Company Overview
      • 15.3.10.2 Product Portfolio
      • 15.3.10.3 Financials
      • 15.3.10.4 SWOT Analysis
    • 15.3.11 SAS Institute Inc.
      • 15.3.11.1 Company Overview
      • 15.3.11.2 Product Portfolio
      • 15.3.11.3 SWOT Analysis
    • 15.3.12 TIBCO Software Inc.
      • 15.3.12.1 Company Overview
      • 15.3.12.2 Product Portfolio
      • 15.3.12.3 SWOT Analysis

List of Figures

  • Figure 1: Global: Manufacturing Predictive Analytics Market: Major Drivers and Challenges
  • Figure 2: Global: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019-2024
  • Figure 3: Global: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 4: Global: Manufacturing Predictive Analytics Market: Breakup by Component (in %), 2024
  • Figure 5: Global: Manufacturing Predictive Analytics Market: Breakup by Deployment Model (in %), 2024
  • Figure 6: Global: Manufacturing Predictive Analytics Market: Breakup by Application (in %), 2024
  • Figure 7: Global: Manufacturing Predictive Analytics Market: Breakup by End Use Industry (in %), 2024
  • Figure 8: Global: Manufacturing Predictive Analytics Market: Breakup by Region (in %), 2024
  • Figure 9: Global: Manufacturing Predictive Analytics (Software) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 10: Global: Manufacturing Predictive Analytics (Software) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 11: Global: Manufacturing Predictive Analytics (Services) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 12: Global: Manufacturing Predictive Analytics (Services) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 13: Global: Manufacturing Predictive Analytics (Cloud-based) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 14: Global: Manufacturing Predictive Analytics (Cloud-based) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 15: Global: Manufacturing Predictive Analytics (On-premises) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 16: Global: Manufacturing Predictive Analytics (On-premises) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 17: Global: Manufacturing Predictive Analytics (Demand Forecasting) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 18: Global: Manufacturing Predictive Analytics (Demand Forecasting) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 19: Global: Manufacturing Predictive Analytics (Machinery Inspection and Maintenance) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 20: Global: Manufacturing Predictive Analytics (Machinery Inspection and Maintenance) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 21: Global: Manufacturing Predictive Analytics (Product Development) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 22: Global: Manufacturing Predictive Analytics (Product Development) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 23: Global: Manufacturing Predictive Analytics (Supply Chain Management) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 24: Global: Manufacturing Predictive Analytics (Supply Chain Management) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 25: Global: Manufacturing Predictive Analytics (Other Applications) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 26: Global: Manufacturing Predictive Analytics (Other Applications) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 27: Global: Manufacturing Predictive Analytics (Semiconductor and Electronics) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 28: Global: Manufacturing Predictive Analytics (Semiconductor and Electronics) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 29: Global: Manufacturing Predictive Analytics (Energy and Power) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 30: Global: Manufacturing Predictive Analytics (Energy and Power) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 31: Global: Manufacturing Predictive Analytics (Pharmaceutical) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 32: Global: Manufacturing Predictive Analytics (Pharmaceutical) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 33: Global: Manufacturing Predictive Analytics (Automobile) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 34: Global: Manufacturing Predictive Analytics (Automobile) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 35: Global: Manufacturing Predictive Analytics (Heavy Metal and Machine Manufacturing) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 36: Global: Manufacturing Predictive Analytics (Heavy Metal and Machine Manufacturing) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 37: Global: Manufacturing Predictive Analytics (Other End Use Industries) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 38: Global: Manufacturing Predictive Analytics (Other End Use Industries) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 39: North America: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 40: North America: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 41: United States: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 42: United States: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 43: Canada: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 44: Canada: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 45: Asia-Pacific: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 46: Asia-Pacific: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 47: China: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 48: China: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 49: Japan: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 50: Japan: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 51: India: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 52: India: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 53: South Korea: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 54: South Korea: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 55: Australia: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 56: Australia: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 57: Indonesia: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 58: Indonesia: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 59: Others: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 60: Others: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 61: Europe: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 62: Europe: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 63: Germany: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 64: Germany: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 65: France: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 66: France: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 67: United Kingdom: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 68: United Kingdom: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 69: Italy: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 70: Italy: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 71: Spain: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 72: Spain: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 73: Russia: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 74: Russia: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 75: Others: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 76: Others: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 77: Latin America: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 78: Latin America: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 79: Brazil: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 80: Brazil: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 81: Mexico: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 82: Mexico: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 83: Others: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 84: Others: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 85: Middle East and Africa: Manufacturing Predictive Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 86: Middle East and Africa: Manufacturing Predictive Analytics Market: Breakup by Country (in %), 2024
  • Figure 87: Middle East and Africa: Manufacturing Predictive Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 88: Global: Manufacturing Predictive Analytics Industry: SWOT Analysis
  • Figure 89: Global: Manufacturing Predictive Analytics Industry: Value Chain Analysis
  • Figure 90: Global: Manufacturing Predictive Analytics Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Manufacturing Predictive Analytics Market: Key Industry Highlights, 2024 and 2033
  • Table 2: Global: Manufacturing Predictive Analytics Market Forecast: Breakup by Component (in Million USD), 2025-2033
  • Table 3: Global: Manufacturing Predictive Analytics Market Forecast: Breakup by Deployment Model (in Million USD), 2025-2033
  • Table 4: Global: Manufacturing Predictive Analytics Market Forecast: Breakup by Application (in Million USD), 2025-2033
  • Table 5: Global: Manufacturing Predictive Analytics Market Forecast: Breakup by End Use Industry (in Million USD), 2025-2033
  • Table 6: Global: Manufacturing Predictive Analytics Market Forecast: Breakup by Region (in Million USD), 2025-2033
  • Table 7: Global: Manufacturing Predictive Analytics Market: Competitive Structure
  • Table 8: Global: Manufacturing Predictive Analytics Market: Key Players