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

  • ID: 5414878
  • Report
  • September 2021
  • Region: Global
  • 118 Pages
  • TechSci Research
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10% Free customization

This report comes with 10% free customization, enabling you to add data that meets your specific business needs.

FEATURED COMPANIES

  • Cisco Systems, Inc.
  • General Electric Company
  • IBM Corporation
  • Microsoft Corporation
  • Robert Bosch GmbH
  • SAS Institute Inc.
Free Webex Call

Speak directly to the analyst to clarify any post sales queries you may have.

10% Free customization

This report comes with 10% free customization, enabling you to add data that meets your specific business needs.

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.

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



The publisher 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. The publisher 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.



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, the publisher offers customizations according to a company’s specific needs.


Note: Product cover images may vary from those shown

FEATURED COMPANIES

  • Cisco Systems, Inc.
  • General Electric Company
  • IBM Corporation
  • Microsoft Corporation
  • Robert Bosch GmbH
  • SAS Institute Inc.
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 the Publisher & Disclaimer
Note: Product cover images may vary from those shown

A selection of companies mentioned in this report includes:

  • 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
Note: Product cover images may vary from those shown