North America Predictive Maintenance Market Forecast 2019-2027
KEY FINDINGS
The North America predictive maintenance market is estimated to project a CAGR of 23.74% during the projected period. The large presence of solution and service vendors is the primary factor driving the growth of the market.
MARKET INSIGHTS
The North American region, with regard to the predictive maintenance market, is segregated into the United States and Canada. The market region of North America dominates the global market for predictive maintenance, with the largest market share. The US region constitutes the presence of key players that are incorporating predictive management techniques, thereby propelling the growth of the market. The benefits of machine learning technology such as, improved accuracy of predictive algorithms, finds applications in various industries. The manufacturing technologies have the benefits of the investments from both, the federal government and the private sector. The increasing adoption by large enterprises in order to improve their maintenance strategy is helping the market grow. In the Canadian region, the companies are using AI for increased efficiency, risk management, minimizing downtime, etc. The region also has the advantage of increased research and development activities with regard to predictive management. The rising adoption is also estimated to change the perception of predictive management in the Canadian region.
COMPETITIVE INSIGHTS
Some well-established players in the market include, Schneider Electric Se, Software Ag, Sas Institute Inc., IBM Corporation, Sap Se, Ptc Inc.,Microsoft Corporation, etc.
Our report offerings include:
• Explore key findings of the overall market
• Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
• Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
• Market Segmentation cater to a thorough assessment of key segments with their market estimations
• Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
• Key analytics: Porter's Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
• Competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
• Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments
- 1. Research Scope
- 1.1. Study Goals
- 1.2. Scope Of The Market Study
- 1.3. Who Will Find This Report Useful?
- 1.4. Study And Forecasting Years
- 2. Research Methodology
- 2.1. Sources Of Data
- 2.1.1. Secondary Data
- 2.1.2. Primary Data
- 2.2. Top-down Approach
- 2.3. Bottom-up Approach
- 2.4. Data Triangulation
- 3. Executive Summary
- 3.1. Market Summary
- 3.2. Key Findings
- 3.2.1. Growing Demand For Cloud Applications
- 3.2.2. Rising Innovations In Healthcare Segment
- 4. Market Dynamics
- 4.1. Market Scope & Definition
- 4.2. Market Drivers
- 4.2.1. Growing Need To Reduce Machinery Breakdown
- 4.2.2. Rising Investments For Predictive Maintenance
- 4.3. Market Restraints
- 4.3.1. Skill Gap Is The Key Restraint To Market Growth
- 4.3.2. Complications In Implementation Of Technology
- 4.4. Market Opportunities
- 4.4.1. High Adoption Of Machine Learning And Iiot
- 4.4.2. Swelling Demand For Condition Based Monitoring
- 4.5. Market Challenges
- 4.5.1. Data Privacy Concerns
- 5. Market By Component
- 5.1. Solution
- 5.2. Service
- 6. Market By Deployment
- 6.1. On-premise
- 6.2. Cloud
- 7. Market By Technique
- 7.1. Vibration Monitoring
- 7.2. Electrical Testing
- 7.3. Oil Analysis
- 7.4. Ultrasonic Leak Detectors
- 7.5. Shock Pulse
- 7.6. Infrared
- 7.7. Others
- 8. Market By Stakeholder
- 8.1. Mro
- 8.2. Oem/Odm
- 8.3. Technology Integrators
- 9. Market By End User
- 9.1. Manufacturing
- 9.2. Energy & Utilities
- 9.3. Aerospace & Defense
- 9.4. Transportation & Logistics
- 9.5. Government
- 9.6. Healthcare
- 9.7. Others
- 10. Key Analytics
- 10.1. Porter’s Five Force Model
- 10.1.1. Threat Of New Entrants
- 10.1.2. Threat Of Substitute
- 10.1.3. Bargaining Power Of Suppliers
- 10.1.4. Bargaining Power Of Buyers
- 10.1.5. Threat Of Competitive Rivalry
- 10.2. Key Buying Criteria
- 10.2.1. Cost
- 10.2.2. Company Background & Experience
- 10.2.3. Ease Of Use
- 10.3. Opportunity Matrix
- 10.4. Vendor Landscape
- 11. Geographical Analysis
- 11.1. North America
- 11.1.1. United States
- 11.1.2. Canada
- 12. Company Profiles
- 12.1. Asystom
- 12.2. C3.Ai Inc.
- 12.3. Software Ag
- 12.4. Schneider Electric Se
- 12.5. Sas Institute Inc.
- 12.6. Sap Se
- 12.7. Ptc Inc.
- 12.8. Microsoft Corporation
- 12.9. Ibm Corporation
- 12.10. Hitachi Ltd.
- 12.11. General Electric
- 12.12. Uptake Technologies
- 12.13. Tibco Software Inc.
- 12.14. Spark Cognition Inc.
- 12.15. Fiix Inc.
- List Of Tables
- Table 1: North America Predictive Maintenance Market, By Country, 2019-2027 (In $ Million)
- Table 2: North America Predictive Maintenance Market, By Component, 2019-2027 (In $ Million)
- Table 3: North America Predictive Maintenance Market, By Deployment, 2019-2027 (In $ Million)
- Table 4: North America Predictive Maintenance Market, By Technique, 2019-2027 (In $ Million)
- Table 5: North America Predictive Maintenance Market, By Stakeholder 2019-2027 (In $ Million)
- Table 6: North America Predictive Maintenance Market, By End User, 2019-2027 (In $ Million)
- Table 7: Opportunity Matrix
- Table 8: Vendor Landscape
- Table 9: North America Predictive Maintenance Market, By Country, 2019-2027 (In $ Million)
- List Of Figures
- Figure 1: North America Predictive Maintenance Market, By Component, 2018 & 2027 (In %)
- Figure 2: North America Predictive Maintenance Market, By Solution, 2019-2027 (In $ Million)
- Figure 3: North America Predictive Maintenance Market, By Service, 2019-2027 (In $ Million)
- Figure 4: North America Predictive Maintenance Market, By On-premise, 2019-2027 (In $ Million)
- Figure 5: North America Predictive Maintenance Market, By Cloud, 2019-2027 (In $ Million)
- Figure 6: North America Predictive Maintenance Market, By Vibration Monitoring, 2019-2027 (In $ Million)
- Figure 7: North America Predictive Maintenance Market, By Electrical Testing, 2019-2027 (In $ Million)
- Figure 8: North America Predictive Maintenance Market, By Oil Analysis, 2019-2027 (In $ Million)
- Figure 9: North America Predictive Maintenance Market, By Ultrasonic Leak Detectors, 2019-2027 (In $ Million)
- Figure 10: North America Predictive Maintenance Market, By Shock Pulse, 2019-2027 (In $ Million)
- Figure 11: North America Predictive Maintenance Market, By Infrared, 2019-2027 (In $ Million)
- Figure 12: North America Predictive Maintenance Market, By Others, 2019-2027 (In $ Million)
- Figure 13: North America Predictive Maintenance Market, By Mro, 2019-2027 (In $ Million)
- Figure 14: North America Predictive Maintenance Market, By Oem/Odm, 2019-2027 (In $ Million)
- Figure 15: North America Predictive Maintenance Market, By Technology Integrators, 2019-2027 (In $ Million)
- Figure 16: North America Predictive Maintenance Market, By Manufacturing, 2019-2027 (In $ Million)
- Figure 17: North America Predictive Maintenance Market, By Energy & Utilities, 2019-2027 (In $ Million)
- Figure 18: North America Predictive Maintenance Market, By Aerospace & Defense, 2019-2027 (In $ Million)
- Figure 19: North America Predictive Maintenance Market, By Transportation & Logistics, 2019-2027 (In $ Million)
- Figure 20: North America Predictive Maintenance Market, By Government, 2019-2027 (In $ Million)
- Figure 21: North America Predictive Maintenance Market, By Healthcare, 2019-2027 (In $ Million)
- Figure 22: North America Predictive Maintenance Market, By Others, 2019-2027 (In $ Million)
- Figure 23: Porter’s Five Force Analysis
- Figure 24: Key Buying Impact Analysis
- Figure 25: North America Predictive Maintenance Market, Regional Outlook, 2018 & 2027 (In %)
- Figure 26: United States Predictive Maintenance Market, 2019-2027 (In $ Million)
- Figure 27: Canada Predictive Maintenance Market, 2019-2027 (In $ Million)