Industrial Predictive Maintenance Market in APAC 2017-2021

  • ID: 4368864
  • Report
  • Region: Asia Pacific
  • 80 pages
  • TechNavio
OFF
1h Free Analyst Time

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

1 of 5
Analysts forecast the industrial predictive maintenance market in APAC to grow at a CAGR of 34.23% during the period 2017-2021

FEATURED COMPANIES

  • ADEN
  • Civis Analytics
  • Huawei Technologies
  • Oracle
  • RapidMiner
  • SHINKAWA Electric
  • MORE
About Industrial Predictive Maintenance

Analysts forecast the industrial predictive maintenance market in APAC to grow at a CAGR of 34.23% during the period 2017-2021

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.

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
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 Drivers
  • Developments in customized industrial predictive maintenance
  • For a full, detailed list, view the full report
Market Challenges
  • Low investments in latest machinery and measuring equipment
  • For a full, detailed list, view the full report
Market Trends
  • Changes from reactive to predictive maintenance
  • For a full, detailed list, view the full 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?
You can request one free hour of the analyst’s time when you purchase this market report. Details are provided within the report.

Research methodology is based on extensive primary and secondary research:
  • Primary research includes in-depth interviews with industry experts, vendors, resellers and customers
  • Secondary research includes the publisher's platform, industry publications, company reports, news articles, analyst reports, trade associations and the data published by government agencies
READ MORE
Note: Product cover images may vary from those shown
2 of 5

FEATURED COMPANIES

  • ADEN
  • Civis Analytics
  • Huawei Technologies
  • Oracle
  • RapidMiner
  • SHINKAWA Electric
  • MORE
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
Note: Product cover images may vary from those shown
3 of 5

Loading
LOADING...

4 of 5

FEATURED COMPANIES

  • ADEN
  • Civis Analytics
  • Huawei Technologies
  • Oracle
  • RapidMiner
  • SHINKAWA Electric
  • MORE
New Research Report - Industrial Predictive Maintenance Market in APAC 2017-2021

The publisher recognizes the following companies as the key players in the industrial predictive maintenance market in APAC: ADEN, Bosch Software Innovations, Huawei Technologies, IBM, and SAP SE.

Other Prominent Vendors in the market are: AsiaAnalytics, Carrier Corporation, Civis Analytics, ETS Solutions Asia, Hitachi, Microsoft, Oracle, Predictive Service, PTC, RapidMiner, SAS Institute, SHINKAWA Electric, SKF, and Yokogawa Electric.

Commenting on the report, an analyst from the research team said: “One trend in the market is changes from reactive to predictive maintenance. The growth of IoT in the current era has resulted in some significant changes to discrete and process industries globally. Reduction in maintenance costs, increasing asset availability, changes to usage-based business models, and generation of new service revenues will have an impact on the industrial predictive maintenance market.”

According to the report, one driver in the market is developments in customized industrial predictive maintenance. There is an increase in demand for customized industrial predictive maintenance solutions in end-user industries such as oil and gas, power generation, aerospace, and transportation and logistics. These industries that require customized industrial predictive maintenance with remote monitoring operations and big data play a significant role in analyzing processes assets, and heavy equipment. Therefore, vendors such as SAP SE, IBM, and Microsoft are providing custom-made industrial predictive maintenance solutions and services based on a requirement that will suit end-user needs, which will protect their critical equipment to gain a competitive edge in productivity.

Further, the report states that one challenge in the market is low investments in latest machinery and measuring equipment. The market for industrial predictive maintenance requires software solutions and services to exhibit better performance and have a better impact on industrial asset production. The development of industrial predictive maintenance increases investments on measuring equipment. In addition, there is difficulty in retrofitting with sensors and monitoring equipment. End-user industries such as oil and gas, chemical and petrochemical, and power generation are dealing with older machines, which will in turn hamper the adoption of predictive maintenance solutions and services.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
Note: Product cover images may vary from those shown
5 of 5
  • ADEN
  • Bosch Software Innovations
  • Huawei Technologies
  • IBM
  • SAP SE
  • AsiaAnalytics
  • Carrier Corporation
  • Civis Analytics
  • ETS Solutions Asia
  • Hitachi
  • Microsoft
  • Oracle
  • Predictive Service
  • PTC
  • RapidMiner
  • SAS Institute
  • SHINKAWA Electric
  • SKF
  • Yokogawa Electric
Note: Product cover images may vary from those shown
6 of 5
Note: Product cover images may vary from those shown
Adroll
adroll