About Industrial Predictive Maintenance
Industrial predictive maintenance is a technique that helps in determining the condition of in-service equipment in order to predict when maintenance should be performed. It also helps in minimizing disruption of normal system operations by offering instant maintenance using budgeted and scheduled repairs. The market is segmented on deployment type, namely cloud and on-premises based industrial predictive maintenance.
Technavio’s analysts forecast the industrial predictive maintenance market in APAC to grow at a CAGR of 34.23% during the period 2017-2021.
Covered in this report
The report covers the present scenario and the growth prospects of the industrial predictive maintenance market in APAC for 2017-2021. To calculate the market size, the report considers solutions and services market.
The market is divided into the following segments based on geography:
• East Asia
• Oceania
• Southeast Asia
Technavio's report, Industrial Predictive Maintenance Market in APAC 2017-2021, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.
Key vendors
• ADEN
• Bosch Software Innovations
• Huawei Technologies
• IBM
• SAP SE
Other prominent vendors
• AsiaAnalytics
• Carrier Corporation
• Civis Analytics
• ETS Solutions Asia
• Hitachi
• Microsoft
• Oracle
• Predictive Service
• PTC
• RapidMiner
• SAS Institute
• SHINKAWA Electric
• SKF
• Yokogawa Electric
Market driver
• Developments in customized industrial predictive maintenance
• For a full, detailed list, view our report
Market challenge
• Low investments in latest machinery and measuring equipment
• For a full, detailed list, view our report
Market trend
• Changes from reactive to predictive maintenance
• For a full, detailed list, view our report
Key questions answered in this report
• What will the market size be in 2021 and what will the growth rate be?
• What are the key market trends?
• What is driving this market?
• What are the challenges to market growth?
• Who are the key vendors in this market space?
• What are the market opportunities and threats faced by the key vendors?
• What are the strengths and weaknesses of the key vendors?
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Table of Contents
PART 01: Executive summary
PART 02: Scope of the report
PART 03: Research Methodology
PART 04: Introduction
• Market outline
PART 05: Market landscape
• Market overview
• Market size and forecast
• Five forces analysis
PART 06: Market segmentation by deployment
• Market overview
• Cloud-based industrial predictive maintenance market in APAC
• On-premises based industrial predictive maintenance market in APAC
PART 07: Market segmentation by end-user
• Market overview
• Industrial predictive maintenance market for APAC in the oil and gas industry
• Industrial predictive maintenance market for APAC in the aerospace and defense industry
• Industrial predictive maintenance market for APAC in the chemical and petrochemical industry
• Industrial predictive maintenance market for APAC in the power generation industry
• Industrial predictive maintenance market for APAC in the transportation and logistics industry
• Industrial predictive maintenance market for APAC in others industry
PART 08: Geographical segmentation
• Market overview
• Industrial predictive maintenance market in East Asia
• Industrial predictive maintenance market in Southeast Asia
• Industrial predictive maintenance market in Oceania
PART 09: Decision framework
PART 10: Drivers and challenges
• Market drivers
• Market challenges
PART 11: Market trends
• Changes from reactive to predictive maintenance
• Higher growth potential of cloud-based industrial predictive maintenance in Southeast Asian countries
• Need for real-time monitoring and growth of IoT
PART 12: Vendor landscape
• Competitive scenario
• Other prominent vendors
PART 13: Key vendor analysis
• ADEN
• Bosch Software Innovations
• Huawei Technologies
• IBM
• SAP SE
PART 14: Appendix
• List of abbreviations
List of Exhibits
Exhibit 01: Global predictive maintenance market in 2016 and 2021 ($ millions)
Exhibit 02: Types of industrial maintenance
Exhibit 03: Objectives of industrial predictive maintenance
Exhibit 04: Workflow of industrial predictive maintenance
Exhibit 05: Business values of industrial predictive maintenance
Exhibit 06: Market landscape
Exhibit 07: Industrial predictive maintenance market in APAC 2016-2021 ($ millions)
Exhibit 08: Five forces analysis
Exhibit 09: Segmentation of the industrial predictive maintenance market in APAC based on deployment type in 2016 and 2021 (% share)
Exhibit 10: Cloud-based industrial predictive maintenance market in APAC 2016-2021 ($ millions)
Exhibit 11: On-premises based industrial predictive maintenance market in APAC 2016-2021 ($ millions)
Exhibit 12: Segmentation of the industrial predictive maintenance market in APAC based on end-users 2016 and 2021 (% share)
Exhibit 13: Industrial predictive maintenance market for APAC in the oil and gas industry 2016-2021 ($ millions)
Exhibit 14: Industrial predictive maintenance market for APAC in the aerospace and defense industry 2016-2021 ($ millions)
Exhibit 15: Industrial predictive maintenance market for APAC in the chemical and petrochemical industry 2016-2021 ($ millions)
Exhibit 16: Industrial predictive maintenance market for APAC in the power generation industry 2016-2021 ($ millions)
Exhibit 17: Industrial predictive maintenance market for APAC in the transportation and logistics industry 2016-2021 ($ millions)
Exhibit 18: Industrial predictive maintenance market for APAC in others industry 2016-2021 ($ millions)
Exhibit 19: Segmentation of the industrial predictive maintenance market in APAC based on geography 2016 and 2021 (% share)
Exhibit 20: Countries under the segmentation of APAC
Exhibit 21: Industrial predictive maintenance market in East Asia 2016-2021 ($ millions)
Exhibit 22: Industrial predictive maintenance market in Southeast Asia 2016-2021 ($ millions)
Exhibit 23: Industrial predictive maintenance market in Oceania 2016-2021 ($ millions)
Exhibit 24: Advantages of predictive maintenance
Exhibit 25: Other prominent vendors
Exhibit 26: ADEN: Business segments
Exhibit 27: ADEN: Service portfolio (maintenance and technical solutions)
Exhibit 28: ADEN: Key highlights
Exhibit 29: Bosch Software Innovations: Solution segments
Exhibit 30: Bosch Software Innovations: Services portfolio
Exhibit 31: Bosch Software Innovations: Key highlights
Exhibit 32: Huawei Technologies: Business segments
Exhibit 33: Huawei Technologies: Solution portfolio
Exhibit 34: Huawei Technologies: Key highlights
Exhibit 35: IBM: Product segments
Exhibit 36: IBM: product portfolio
Exhibit 37: IBM: Key highlights
Exhibit 38: SAP SE: Product segments
Exhibit 39: SAP SE: Product portfolio
Exhibit 40: SAP SE: Key highlights
