表紙SALE
市場調查報告書
商品編碼
1025693

供應鏈預測分析和維護的全球市場:組件(解決方案、服務)、部署、應用程序、組織規模、終端行業、地區、競爭預測和機會 (2026)

Global Predictive Analytics And Maintenance In Supply Chain Market, By Component (Solutions, Services ), By Deployment, By Application, By Organization Size, By End-Use Industry, By Region, Competition Forecast & Opportunities, 2026

出版日期: | 出版商: TechSci Research | 英文 118 Pages | 商品交期: 2-3個工作天內

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  • 全貌
  • 簡介
  • 目錄
簡介

預計全球供應鏈預測分析和維護市場在預測期內將顯著增長。

需求不確定性會對庫存計劃、運輸流程、生產調度產生重大影響,並對供應鏈績效產生不利影響。因此,對供應鏈的預測分析和維護的需求正在增加,預計將推動市場的增長。

本報告調查了全球供應鏈預測分析和維護市場,包括市場規模、預測、市場份額、COVID-19 影響、增長因素和挑戰、組件、部署、應用程序和組織規模。它提供的信息包括按最終用途行業/公司/地區、競爭形勢和主要公司概況進行的市場分析。

目錄

第 1 章產品概述

第 2 章調查方法

第 3 章 COVID-19 對全球供應鏈預測分析和維護市場的影響

第 4 章執行摘要

第 5 章客戶反饋

  • 為供應鏈自動化做準備
  • 供應鏈預測分析和維護採用準備
  • 在供應鏈中採用預測性維護的主要原因
  • 基於各種參數的預測性維護滿意度
  • 採用預測分析和維護時面臨的主要挑戰

第 6 章全球供應鏈的預測分析和維護市場展望

  • 市場規模和預測
    • 按銷售額
  • 市場份額及預測
    • 按組件(解決方案、服務(託管服務、專業服務))
    • 通過部署(本地、雲端)
    • 按應用(庫存管理、預測性維護、預測性路線規劃、需求預測等)
    • 按組織規模(大公司、中小型公司)
    • 按最終用途行業(零售、製造、航空、醫療保健、能源和電力等)
    • 按地區(亞太地區、北美、歐洲、南美、中東和非洲)
    • 按公司 (2020)
  • 市場吸引力指數

第 7 章亞太市場展望

  • 市場規模和預測
    • 按銷售額
  • 市場份額及預測
    • 按組件
    • 通過部署
    • 按應用程序
    • 按組織規模
    • 按行業
    • 按國家/地區(印度、日本、澳大利亞、中國、韓國)

第 8 章北美市場展望

  • 市場規模和預測
    • 按銷售額
  • 市場份額及預測
    • 按組件
    • 通過部署
    • 按應用程序
    • 按組織規模
    • 按行業
    • 按國家/地區(美國、墨西哥、加拿大)

第 9 章歐洲市場展望

  • 市場規模和預測
    • 按銷售額
  • 市場份額及預測
    • 按組件
    • 通過部署
    • 按應用程序
    • 按組織規模
    • 按行業
    • 按國家/地區(英國、意大利、法國、德國、西班牙)

第 10 章南美市場展望

  • 市場規模和預測
    • 按銷售額
  • 市場份額及預測
    • 按組件
    • 通過部署
    • 按應用程序
    • 按組織規模
    • 按行業
    • 按國家/地區(巴西、阿根廷、哥倫比亞)

第 11 章中東和非洲市場展望

  • 市場規模和預測
    • 按銷售額
  • 市場份額及預測
    • 按組件
    • 通過部署
    • 按應用程序
    • 按組織規模
    • 按行業
    • 按國家/地區(南非、沙特阿拉伯、阿拉伯聯合酋長國、卡塔爾)

第 12 章市場動態

  • 增長因素
  • 挑戰

第 13 章市場趨勢

第 14 章規章制度

第 15 章競爭形勢

  • 競爭前景
  • 公司簡介
    • IBM Corporation
    • Microsoft Corporation
    • SAP SE
    • General Electric Company
    • Schneider Electric SE
    • Google LLC
    • Oracle Corporation
    • Hewlett Packard Enterprises Co.
    • SAS Institute Inc.
    • TIBCO Software Inc.
    • Siemens AG
    • Robert Bosch GmbH
    • Cisco Systems, Inc.
    • Dell, Inc.
    • Intel Corporation

第 16 章戰略建議

第 17 章關於我們和免責聲明

目錄
Product Code: 7709

Global predictive analytics and maintenance in supply chain market are expected to grow at a significant rate in the forecast period. The improving economic conditions around the globe and the growing expenditure capacity of consumers are making the market more competitive. Businesses are actively adopting lucrative marketing strategies to maintain their position in the market and make advanced steps to make or grow their margin of profits. The customer data and transaction records are analyzed to forecast the consumption behavior and fulfill the customer needs and expectations, thereby it aids in maintaining the proper supply chains by the organizations. The need to maintain the proper supply chain is essential to minimize wastage and maximize the profit obtained from the organizations as it focuses on the flow of goods, services, and information from the point of origin to customers. The presence of uncertainties due to change in the behavior of consumers, supplies transportation, lead times and organizational risk leads can adversely affect the supply chain and therefore the supply chain requires management and planning to fulfill the requirements. The demand uncertainties can adversely affect the performance of the supply chain with a significant effect on the inventory planning, transportation process, and production scheduling which indicates the necessity of the predictive analytics and maintenance of supply chain thereby is expected to boost the market growth.

Global predictive analytics and maintenance in supply chain market are segmented into component, deployment, application, end-use industry, regional distribution, and company. Based on the regional analysis, North America is expected to dominate the market in the forecast period, 2022-2026. The presence of the market players in the region and the growing adoption of technological advancements for the management of the supply chain is expected to influence the market growth.

The major players operating in the global predictive analytics and maintenance in supply chain market are IBM Corporation, Microsoft Corporation, SAP SE, General Electric Company, Schneider Electric SE, Google LLC, Oracle Corporation, Hewlett Packard Enterprises Co., SAS Institute Inc., TIBCO Software Inc., Siemens AG, Robert Bosch GmbH, Cisco Systems, Inc., Dell, Inc., Intel Corporation, among others. Major companies are developing advanced technologies and launching new services to stay competitive in the market. Other competitive strategies include mergers & acquisitions and new service developments.

Years considered for this report:

Historical Years: 2016-2019

Base Year: 2020

Estimated Year: 2021

Forecast Period: 2022-2026

Objective of the Study:

  • To analyze the historical growth of the market size of global predictive analytics and maintenance in supply chain market from 2016 to 2019.
  • To estimate and forecast the market size of global predictive analytics and maintenance in supply chain market from 2020 to 2026 and growth rate until 2026.
  • To classify and forecast global predictive analytics and maintenance in supply chain market based on component, deployment, application, organization size, end-use industry, regional distribution, and company.
  • To identify dominant region or segment in the global predictive analytics and maintenance in supply chain.
  • To identify drivers and challenges for global predictive analytics and maintenance in supply chain market.
  • To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in global predictive analytics and maintenance in supply chain market.
  • To identify and analyze the profile of leading players operating in global predictive analytics and maintenance in supply chain market.
  • To identify key sustainable strategies adopted by market players in global predictive analytics and maintenance in supply chain market.

TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of service providers across the globe. Subsequently, TechSci Research conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, TechSci Research could include the service providers who could not be identified due to the limitations of secondary research. TechSci Research analyzed the service providers, distribution channels and presence of all major players across the globe.

TechSci Research calculated the market size of global predictive analytics and maintenance in supply chain market using a bottom-up approach, wherein data for various end-user segments was recorded and forecast for the future years. TechSci Research sourced these values from the industry experts and company representatives and externally validated through analyzing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as company websites, news articles, press releases, company annual reports, investor presentations and financial reports were also studied by TechSci Research.

Key Target Audience:

  • Predictive Analytics and Maintenance In Supply Chain service provider companies
  • Market research and consulting firms
  • Government bodies such as regulating authorities and policy makers
  • Organizations, forums, and alliances related to predictive analytics and maintenance in supply chain market

The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as service providers, suppliers and partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.

Report Scope:

In this report, global predictive analytics and maintenance in supply chain market has been segmented into following categories, in addition to the industry trends which have also been detailed below:

  • Global Predictive Analytics And Maintenance In Supply Chain Market, By Component:

Solutions

Services

  • Managed Services
  • Professional Services
  • Global Predictive Analytics And Maintenance In Supply Chain Market, By Deployment:

On-Premises

Cloud

  • Global Predictive Analytics And Maintenance In Supply Chain Market, By Application:

Inventory Management

Predictive Maintenance

Predictive Route Planning

Demand Forecasting

Others

  • Global Predictive Analytics And Maintenance In Supply Chain Market, By Organisation Size:

Large Enterprises

SMEs

  • Global Predictive Analytics And Maintenance In Supply Chain Market, By End-Use Industry:

Retail

Manufacturing

Aviation

Healthcare

Energy and Power

Others

  • Global Predictive Analytics And Maintenance In Supply Chain Market, By Region:

Asia-Pacific

  • India
  • Japan
  • Australia
  • China
  • South Korea

North America

  • United States
  • Mexico
  • Canada

Europe

  • United Kingdom
  • Italy
  • France
  • Germany
  • Spain

South America

  • Brazil
  • Argentina
  • Colombia

Middle East & Africa

  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in global predictive analytics and maintenance in supply chain market.

Available Customizations:

With the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

2. Research Methodology

3. Impact of COVID-19 on Global Predictive Analytics and Maintenance in Supply Chain Market

4. Executive Summary

5. Voice of Customers

  • 5.1. Supply Chain Automation Readiness
  • 5.2. Adoption of Predictive Analytics and Maintenance in Supply Chain Readiness
  • 5.3. Key Reasons to Adopt Predictive Maintenance in Supply Chain
  • 5.4. Predictive Maintenance Satisfaction Levels Based on Various Parameters
  • 5.5. Key Challenges Faced in Adopting Predictive Analytics and Maintenance

6. Global Predictive Analytics and Maintenance in Supply Chain Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component (Solutions, Services (Managed Services, Professional Services))
    • 6.2.2. By Deployment (On-Premises, Cloud)
    • 6.2.3. By Application (Inventory Management, Predictive Maintenance, Predictive Route Planning, Demand Forecasting, Others)
    • 6.2.4. By Organisation Size (Large Enterprises, SMEs)
    • 6.2.5. By End-Use Industry (Retail, Manufacturing, Aviation, Healthcare, Energy and Power, Others)
    • 6.2.6. By Region (Asia-Pacific, North America; Europe; South America; Middle East & Africa)
    • 6.2.7. By Company (2020)
  • 6.3. Market Attractiveness Index

7. Asia-Pacific Predictive Analytics and Maintenance in Supply Chain Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Deployment
    • 7.2.3. By Application
    • 7.2.4. By Organisation Size
    • 7.2.5. By End-Use Industry
    • 7.2.6. By Country (India, Japan, Australia, China., South Korea)
  • 7.3. India Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 7.3.1. Market Size & Forecast
      • 7.3.1.1. By Value
    • 7.3.2. Market Share & Forecast
      • 7.3.2.1. By Component
      • 7.3.2.2. By Deployment
      • 7.3.2.3. By Application
      • 7.3.2.4. By Organisation Size
      • 7.3.2.5. By End-Use Industry
  • 7.4. Japan Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 7.4.1. Market Size & Forecast
      • 7.4.1.1. By Value
    • 7.4.2. Market Share & Forecast
      • 7.4.2.1. By Component
      • 7.4.2.2. By Deployment
      • 7.4.2.3. By Application
      • 7.4.2.4. By Organisation Size
      • 7.4.2.5. By End-Use Industry
  • 7.5. Australia Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 7.5.1. Market Size & Forecast
      • 7.5.1.1. By Value
    • 7.5.2. Market Share & Forecast
      • 7.5.2.1. By Component
      • 7.5.2.2. By Deployment
      • 7.5.2.3. By Application
      • 7.5.2.4. By Organisation Size
      • 7.5.2.5. By End-Use Industry
  • 7.6. China Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 7.6.1. Market Size & Forecast
      • 7.6.1.1. By Value
    • 7.6.2. Market Share & Forecast
      • 7.6.2.1. By Component
      • 7.6.2.2. By Deployment
      • 7.6.2.3. By Application
      • 7.6.2.4. By Organisation Size
      • 7.6.2.5. By End-Use Industry
  • 7.7. South Korea Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 7.7.1. Market Size & Forecast
      • 7.7.1.1. By Value
    • 7.7.2. Market Share & Forecast
      • 7.7.2.1. By Component
      • 7.7.2.2. By Deployment
      • 7.7.2.3. By Application
      • 7.7.2.4. By Organisation Size
      • 7.7.2.5. By End-Use Industry

8. North America Predictive Analytics and Maintenance in Supply Chain Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Deployment
    • 8.2.3. By Application
    • 8.2.4. By Organisation Size
    • 8.2.5. By End-Use Industry
    • 8.2.6. By Country (United States, Mexico, Canada)
  • 8.3. United States Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 8.3.1. Market Size & Forecast
      • 8.3.1.1. By Value
    • 8.3.2. Market Share & Forecast
      • 8.3.2.1. By Component
      • 8.3.2.2. By Deployment
      • 8.3.2.3. By Application
      • 8.3.2.4. By Organisation Size
      • 8.3.2.5. By End-Use Industry
  • 8.4. Mexico Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 8.4.1. Market Size & Forecast
      • 8.4.1.1. By Value
    • 8.4.2. Market Share & Forecast
      • 8.4.2.1. By Component
      • 8.4.2.2. By Deployment
      • 8.4.2.3. By Application
      • 8.4.2.4. By Organisation Size
      • 8.4.2.5. By End-Use Industry
  • 8.5. Canada Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 8.5.1. Market Size & Forecast
      • 8.5.1.1. By Value
    • 8.5.2. Market Share & Forecast
      • 8.5.2.1. By Component
      • 8.5.2.2. By Deployment
      • 8.5.2.3. By Application
      • 8.5.2.4. By Organisation Size
      • 8.5.2.5. By End-Use Industry

9. Europe Predictive Analytics and Maintenance in Supply Chain Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Deployment
    • 9.2.3. By Application
    • 9.2.4. By Organisation Size
    • 9.2.5. By End-Use Industry
    • 9.2.6. By Country (United Kingdom, Italy, France, Germany, Spain)
  • 9.3. United Kingdom Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 9.3.1. Market Size & Forecast
      • 9.3.1.1. By Value
    • 9.3.2. Market Share & Forecast
      • 9.3.2.1. By Component
      • 9.3.2.2. By Deployment
      • 9.3.2.3. By Application
      • 9.3.2.4. By Organisation Size
      • 9.3.2.5. By End-Use Industry
  • 9.4. Italy Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 9.4.1. Market Size & Forecast
      • 9.4.1.1. By Value
    • 9.4.2. Market Share & Forecast
      • 9.4.2.1. By Component
      • 9.4.2.2. By Deployment
      • 9.4.2.3. By Application
      • 9.4.2.4. By Organisation Size
      • 9.4.2.5. By End-Use Industry
  • 9.5. France Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 9.5.1. Market Size & Forecast
      • 9.5.1.1. By Value
    • 9.5.2. Market Share & Forecast
      • 9.5.2.1. By Component
      • 9.5.2.2. By Deployment
      • 9.5.2.3. By Application
      • 9.5.2.4. By Organisation Size
      • 9.5.2.5. By End-Use Industry
  • 9.6. Germany Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 9.6.1. Market Size & Forecast
      • 9.6.1.1. By Value
    • 9.6.2. Market Share & Forecast
      • 9.6.2.1. By Component
      • 9.6.2.2. By Deployment
      • 9.6.2.3. By Application
      • 9.6.2.4. By Organisation Size
      • 9.6.2.5. By End-Use Industry
  • 9.7. Spain Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 9.7.1. Market Size & Forecast
      • 9.7.1.1. By Value
    • 9.7.2. Market Share & Forecast
      • 9.7.2.1. By Component
      • 9.7.2.2. By Deployment
      • 9.7.2.3. By Application
      • 9.7.2.4. By Organisation Size
      • 9.7.2.5. By End-Use Industry

10. South America Predictive Analytics and Maintenance in Supply Chain Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Deployment
    • 10.2.3. By Application
    • 10.2.4. By Organisation Size
    • 10.2.5. By End-Use Industry
    • 10.2.6. By Country (Brazil, Argentina, Colombia)
  • 10.3. Brazil Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 10.3.1. Market Size & Forecast
      • 10.3.1.1. By Value
    • 10.3.2. Market Share & Forecast
      • 10.3.2.1. By Component
      • 10.3.2.2. By Deployment
      • 10.3.2.3. By Application
      • 10.3.2.4. By Organisation Size
      • 10.3.2.5. By End-Use Industry
  • 10.4. Argentina Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 10.4.1. Market Size & Forecast
      • 10.4.1.1. By Value
    • 10.4.2. Market Share & Forecast
      • 10.4.2.1. By Component
      • 10.4.2.2. By Deployment
      • 10.4.2.3. By Application
      • 10.4.2.4. By Organisation Size
      • 10.4.2.5. By End-Use Industry
  • 10.5. Colombia Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 10.5.1. Market Size & Forecast
      • 10.5.1.1. By Value
    • 10.5.2. Market Share & Forecast
      • 10.5.2.1. By Component
      • 10.5.2.2. By Deployment
      • 10.5.2.3. By Application
      • 10.5.2.4. By Organisation Size
      • 10.5.2.5. By End-Use Industry

11. Middle East & Africa Predictive Analytics and Maintenance in Supply Chain Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Component
    • 11.2.2. By Deployment
    • 11.2.3. By Application
    • 11.2.4. By Organisation Size
    • 11.2.5. By End-Use Industry
    • 11.2.6. By Country (South Africa, Saudi Arabia, UAE, Qatar)
  • 11.3. South Africa Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 11.3.1. Market Size & Forecast
      • 11.3.1.1. By Value
    • 11.3.2. Market Share & Forecast
      • 11.3.2.1. By Component
      • 11.3.2.2. By Deployment
      • 11.3.2.3. By Application
      • 11.3.2.4. By Organisation Size
      • 11.3.2.5. By End-Use Industry
  • 11.4. Saudi Arabia Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 11.4.1. Market Size & Forecast
      • 11.4.1.1. By Value
    • 11.4.2. Market Share & Forecast
      • 11.4.2.1. By Component
      • 11.4.2.2. By Deployment
      • 11.4.2.3. By Application
      • 11.4.2.4. By Organisation Size
      • 11.4.2.5. By End-Use Industry
  • 11.5. UAE Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 11.5.1. Market Size & Forecast
      • 11.5.1.1. By Value
    • 11.5.2. Market Share & Forecast
      • 11.5.2.1. By Component
      • 11.5.2.2. By Deployment
      • 11.5.2.3. By Application
      • 11.5.2.4. By Organisation Size
      • 11.5.2.5. By End-Use Industry
  • 11.6. Qatar Predictive Analytics and Maintenance in Supply Chain Market Outlook
    • 11.6.1. Market Size & Forecast
      • 11.6.1.1. By Value
    • 11.6.2. Market Share & Forecast
      • 11.6.2.1. By Component
      • 11.6.2.2. By Deployment
      • 11.6.2.3. By Application
      • 11.6.2.4. By Organisation Size
      • 11.6.2.5. By End-Use Industry

12. Market Dynamics

  • 12.1. Drivers
  • 12.2. Challenges

13. Market Trends & Developments

14. Policy & Regulatory Landscape

15. Competitive Landscape

  • 15.1. Competition Outlook
  • 15.2. Company Profiles
    • 15.2.1. IBM Corporation
    • 15.2.2. Microsoft Corporation
    • 15.2.3. SAP SE
    • 15.2.4. General Electric Company
    • 15.2.5. Schneider Electric SE
    • 15.2.6. Google LLC
    • 15.2.7. Oracle Corporation
    • 15.2.8. Hewlett Packard Enterprises Co.
    • 15.2.9. SAS Institute Inc.
    • 15.2.10. TIBCO Software Inc.
    • 15.2.11. Siemens AG
    • 15.2.12. Robert Bosch GmbH
    • 15.2.13. Cisco Systems, Inc.
    • 15.2.14. Dell, Inc.
    • 15.2.15. Intel Corporation

16. Strategic Recommendations

17. About us & Disclaimer