Table of Contents

1 Report Overview

• 1.1 Study Scope
• 1.2 Market Analysis by Type
  • 1.2.1 Global Oilfield Predictive Maintenance Market Size Growth Rate by Type: 2017 VS 2021 VS 2028
  • 1.2.2 Hardware
  • 1.2.3 Software
• 1.3 Market by Application
  • 1.3.1 Global Oilfield Predictive Maintenance Market Share by Application: 2017 VS 2021 VS 2028
  • 1.3.2 Onshore
  • 1.3.3 Offshore
• 1.4 Study Objectives
• 1.5 Years Considered

2 Global Growth Trends

• 2.1 Global Oilfield Predictive Maintenance Market Perspective (2017-2028)
• 2.2 Oilfield Predictive Maintenance Growth Trends by Region
  • 2.2.1 Oilfield Predictive Maintenance Market Size by Region: 2017 VS 2021 VS 2028
  • 2.2.2 Oilfield Predictive Maintenance Historic Market Size by Region (2017-2022)
  • 2.2.3 Oilfield Predictive Maintenance Forecasted Market Size by Region (2023-2028)
• 2.3 Oilfield Predictive Maintenance Market Dynamics
  • 2.3.1 Oilfield Predictive Maintenance Industry Trends
  • 2.3.2 Oilfield Predictive Maintenance Market Drivers
  • 2.3.3 Oilfield Predictive Maintenance Market Challenges
  • 2.3.4 Oilfield Predictive Maintenance Market Restraints

3 Competition Landscape by Key Players

• 3.1 Global Top Oilfield Predictive Maintenance Players by Revenue
  • 3.1.1 Global Top Oilfield Predictive Maintenance Players by Revenue (2017-2022)
  • 3.1.2 Global Oilfield Predictive Maintenance Revenue Market Share by Players (2017-2022)
• 3.2 Global Oilfield Predictive Maintenance Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
• 3.3 Players Covered: Ranking by Oilfield Predictive Maintenance Revenue
• 3.4 Global Oilfield Predictive Maintenance Market Concentration Ratio
  • 3.4.1 Global Oilfield Predictive Maintenance Market Concentration Ratio (CR5 and HHI)
  • 3.4.2 Global Top 10 and Top 5 Companies by Oilfield Predictive Maintenance Revenue in 2021
• 3.5 Oilfield Predictive Maintenance Key Players Head office and Area Served
• 3.6 Key Players Oilfield Predictive Maintenance Product Solution and Service
• 3.7 Date of Enter into Oilfield Predictive Maintenance Market
• 3.8 Mergers & Acquisitions, Expansion Plans

4 Oilfield Predictive Maintenance Breakdown Data by Type

• 4.1 Global Oilfield Predictive Maintenance Historic Market Size by Type (2017-2022)
• 4.2 Global Oilfield Predictive Maintenance Forecasted Market Size by Type (2023-2028)

5 Oilfield Predictive Maintenance Breakdown Data by Application

• 5.1 Global Oilfield Predictive Maintenance Historic Market Size by Application (2017-2022)
• 5.2 Global Oilfield Predictive Maintenance Forecasted Market Size by Application (2023-2028)

6 North America

• 6.1 North America Oilfield Predictive Maintenance Market Size (2017-2028)
• 6.2 North America Oilfield Predictive Maintenance Market Size by Country (2017-2022)
• 6.3 North America Oilfield Predictive Maintenance Market Size by Country (2023-2028)
• 6.4 United States
• 6.5 Canada

7 Europe

• 7.1 Europe Oilfield Predictive Maintenance Market Size (2017-2028)
• 7.2 Europe Oilfield Predictive Maintenance Market Size by Country (2017-2022)
• 7.3 Europe Oilfield Predictive Maintenance Market Size by Country (2023-2028)
• 7.4 Germany
• 7.5 France
• 7.6 U.K.
• 7.7 Italy
• 7.8 Russia
• 7.9 Nordic Countries

8 Asia-Pacific

• 8.1 Asia-Pacific Oilfield Predictive Maintenance Market Size (2017-2028)
• 8.2 Asia-Pacific Oilfield Predictive Maintenance Market Size by Country (2017-2022)
• 8.3 Asia-Pacific Oilfield Predictive Maintenance Market Size by Country (2023-2028)
• 8.4 China
• 8.5 Japan
• 8.6 South Korea
• 8.7 Southeast Asia
• 8.8 India
• 8.9 Australia

9 Latin America

• 9.1 Latin America Oilfield Predictive Maintenance Market Size (2017-2028)
• 9.2 Latin America Oilfield Predictive Maintenance Market Size by Country (2017-2022)
• 9.3 Latin America Oilfield Predictive Maintenance Market Size by Country (2023-2028)
• 9.4 Mexico
• 9.5 Brazil

10 Middle East & Africa

• 10.1 Middle East & Africa Oilfield Predictive Maintenance Market Size (2017-2028)
• 10.2 Middle East & Africa Oilfield Predictive Maintenance Market Size by Country (2017-2022)
• 10.3 Middle East & Africa Oilfield Predictive Maintenance Market Size by Country (2023-2028)
• 10.4 Turkey
• 10.5 Saudi Arabia
• 10.6 UAE

11 Key Players Profiles

• 11.1 General Electric
  • 11.1.1 General Electric Company Detail
  • 11.1.2 General Electric Business Overview
  • 11.1.3 General Electric Oilfield Predictive Maintenance Introduction
  • 11.1.4 General Electric Revenue in Oilfield Predictive Maintenance Business (2017-2022)
  • 11.1.5 General Electric Recent Development
• 11.2 SparkCognition
  • 11.2.1 SparkCognition Company Detail
  • 11.2.2 SparkCognition Business Overview
  • 11.2.3 SparkCognition Oilfield Predictive Maintenance Introduction
  • 11.2.4 SparkCognition Revenue in Oilfield Predictive Maintenance Business (2017-2022)
  • 11.2.5 SparkCognition Recent Development
• 11.3 Limble CMMS
  • 11.3.1 Limble CMMS Company Detail
  • 11.3.2 Limble CMMS Business Overview
  • 11.3.3 Limble CMMS Oilfield Predictive Maintenance Introduction
  • 11.3.4 Limble CMMS Revenue in Oilfield Predictive Maintenance Business (2017-2022)
  • 11.3.5 Limble CMMS Recent Development
• 11.4 Detechtion Technologies
  • 11.4.1 Detechtion Technologies Company Detail
  • 11.4.2 Detechtion Technologies Business Overview
  • 11.4.3 Detechtion Technologies Oilfield Predictive Maintenance Introduction
  • 11.4.4 Detechtion Technologies Revenue in Oilfield Predictive Maintenance Business (2017-2022)
  • 11.4.5 Detechtion Technologies Recent Development
• 11.5 Schneider Electric
  • 11.5.1 Schneider Electric Company Detail
  • 11.5.2 Schneider Electric Business Overview
  • 11.5.3 Schneider Electric Oilfield Predictive Maintenance Introduction
  • 11.5.4 Schneider Electric Revenue in Oilfield Predictive Maintenance Business (2017-2022)
  • 11.5.5 Schneider Electric Recent Development
• 11.6 SAP
  • 11.6.1 SAP Company Detail
  • 11.6.2 SAP Business Overview
  • 11.6.3 SAP Oilfield Predictive Maintenance Introduction
  • 11.6.4 SAP Revenue in Oilfield Predictive Maintenance Business (2017-2022)
  • 11.6.5 SAP Recent Development
• 11.7 Software AG
  • 11.7.1 Software AG Company Detail
  • 11.7.2 Software AG Business Overview
  • 11.7.3 Software AG Oilfield Predictive Maintenance Introduction
  • 11.7.4 Software AG Revenue in Oilfield Predictive Maintenance Business (2017-2022)
  • 11.7.5 Software AG Recent Development
• 11.8 IBM
  • 11.8.1 IBM Company Detail
  • 11.8.2 IBM Business Overview
  • 11.8.3 IBM Oilfield Predictive Maintenance Introduction
  • 11.8.4 IBM Revenue in Oilfield Predictive Maintenance Business (2017-2022)
  • 11.8.5 IBM Recent Development
• 11.9 Hitachi
  • 11.9.1 Hitachi Company Detail
  • 11.9.2 Hitachi Business Overview
  • 11.9.3 Hitachi Oilfield Predictive Maintenance Introduction
  • 11.9.4 Hitachi Revenue in Oilfield Predictive Maintenance Business (2017-2022)
  • 11.9.5 Hitachi Recent Development
• 11.10 Softweb Solutions
  • 11.10.1 Softweb Solutions Company Detail
  • 11.10.2 Softweb Solutions Business Overview
  • 11.10.3 Softweb Solutions Oilfield Predictive Maintenance Introduction
  • 11.10.4 Softweb Solutions Revenue in Oilfield Predictive Maintenance Business (2017-2022)
  • 11.10.5 Softweb Solutions Recent Development
• 11.11 Emerson Electric
  • 11.11.1 Emerson Electric Company Detail
  • 11.11.2 Emerson Electric Business Overview
  • 11.11.3 Emerson Electric Oilfield Predictive Maintenance Introduction
  • 11.11.4 Emerson Electric Revenue in Oilfield Predictive Maintenance Business (2017-2022)
  • 11.11.5 Emerson Electric Recent Development
• 11.12 Rockwell Automation
  • 11.12.1 Rockwell Automation Company Detail
  • 11.12.2 Rockwell Automation Business Overview
  • 11.12.3 Rockwell Automation Oilfield Predictive Maintenance Introduction
  • 11.12.4 Rockwell Automation Revenue in Oilfield Predictive Maintenance Business (2017-2022)
  • 11.12.5 Rockwell Automation Recent Development
• 11.13 ABB
  • 11.13.1 ABB Company Detail
  • 11.13.2 ABB Business Overview
  • 11.13.3 ABB Oilfield Predictive Maintenance Introduction
  • 11.13.4 ABB Revenue in Oilfield Predictive Maintenance Business (2017-2022)
  • 11.13.5 ABB Recent Development
• 11.14 DXC Technology
  • 11.14.1 DXC Technology Company Detail
  • 11.14.2 DXC Technology Business Overview
  • 11.14.3 DXC Technology Oilfield Predictive Maintenance Introduction
  • 11.14.4 DXC Technology Revenue in Oilfield Predictive Maintenance Business (2017-2022)
  • 11.14.5 DXC Technology Recent Development

12 Analyst's Viewpoints/Conclusions

13 Appendix

• 13.1 Research Methodology
  • 13.1.1 Methodology/Research Approach
  • 13.1.2 Data Source
• 13.2 Disclaimer

Summary:
Industry Insights
The global Oilfield Predictive Maintenance market size is projected to reach US$ million by 2028, from US$ million in 2021, at a CAGR of % during 2022-2028.
Fully considering the economic change by this health crisis, Hardware accounting for % of the Oilfield Predictive Maintenance global market in 2021, is projected to value US$ million by 2028, growing at a revised % CAGR in the post-COVID-19 period. While Onshore segment is altered to an % CAGR throughout this forecast period.
China Oilfield Predictive Maintenance market size is valued at US$ million in 2021, while the North America and Europe Oilfield Predictive Maintenance are US$ million and US$ million, severally. The proportion of the North America is % in 2021, while China and Europe are % and respectively, and it is predicted that China proportion will reach % in 2028, trailing a CAGR of % through the analysis period. Japan, South Korea, and Southeast Asia are noteworthy markets in Asia, with CAGR %, %, and % respectively for the next 6-year period. As for the Europe Oilfield Predictive Maintenance landscape, Germany is projected to reach US$ million by 2028 trailing a CAGR of % over the forecast period.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Oilfield Predictive Maintenance market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Oilfield Predictive Maintenance market in terms of revenue.
Overall, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Oilfield Predictive Maintenance market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Oilfield Predictive Maintenance market.
Impact of Covid-19 Outbreak
This section of the report has explored the overall status of the Covid scenario and has offered valuable insights into the changes in supply chain disruption, fluctuations in demand, etc. The analysts have also focused on the key measures that the companies are opting to withstand the harsh scenario.
Segmental Analysis
The report has been segmented into product and application segments. The researchers have documented all the products present today in the Oilfield Predictive Maintenance market. They have also shed light on the new product innovations and launches by the key players. In the segmental analysis, the analysts have provided revenue forecast figures based on type and application for the period 2017-2028. They have also discussed about the growth rate and potential of each segment for the period 2017-2028.
Oilfield Predictive Maintenance Breakdown Data by Type
Hardware
Software
Oilfield Predictive Maintenance Breakdown Data by Application
Onshore
Offshore
Regional Analysis
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Competitive Landscape
This segment focuses on the key players operating in the industry. It underlines all the current and future activities by the prominent manufacturers. By understanding various initiatives being taken up by different players, readers will gain the ability to settle on correct business choices. The authors of the report have provided accurate revenue figures of the companies for the period 2017-2022. The clients are sure to gain the upper hand once they get hold of this report. Key players studied in the research report include:
General Electric
SparkCognition
Limble CMMS
Detechtion Technologies
Schneider Electric
SAP
Software AG
IBM
Hitachi
Softweb Solutions
Emerson Electric
Rockwell Automation
ABB
DXC Technology
Frequently Asked Questions
What factors will challenge the Oilfield Predictive Maintenance market growth?
Which end-use segment will expand at the fastest CAGR in the Oilfield Predictive Maintenance market?
Which are the emerging players in the Oilfield Predictive Maintenance market?
How concentrated is the Oilfield Predictive Maintenance market?
Which factors are positively contributing to the Oilfield Predictive Maintenance market growth?
Which are the novel product innovations in the Oilfield Predictive Maintenance market?
Which product segment will emerge as the most lucrative in the Oilfield Predictive Maintenance market?
Which factors are increasing the competition in the Oilfield Predictive Maintenance market?
Which are the strategic measures taken by the Oilfield Predictive Maintenance industry players?
Which region will witness inactive growth during the forecast period?
What key trends are likely to emerge in the Oilfield Predictive Maintenance market in the coming years?