Predictive Maintenance Market Global Forecast to 2024 by Component, Deployment Mode, Organization Size, Vertical (Government and Defense, Manufacturing, Energy and Utilities, Transportation and Logistics), Regions


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Shibuya Data Count

Jan 13, 2021, 06:20 EST


Shibuya-ku, Tokyo, Japan, Japan, Jan 13, 2021, 06:20 /Comserve / -- The major vendors include IBM (US), Microsoft (US), SAP (Germany), GE (US), Schneider Electric (France), Hitachi (Japan), PTC (US), Software AG (Germany), SAS (US), TIBCO (US), C3 IoT (US), Uptake (US), Softweb Solutions (US), Asystom (France)

With COVID-19 resulting in the economic fallout, numerous economies are working on game-changing improvements to protect their employees and clients. While focusing on the ongoing challenges, the leaders are embracing new plans in order to manage and stay afloat in this competitive environment.

The global predictive maintenance market size to grow from USD 3.0 billion in 2019 to USD 10.7 billion by 2024, at a CAGR of 28.8% during 2019–2024. The major growth drivers of the predictive maintenance market include the increasing use of emerging technologies to gain valuable insights. Lack of skilled workforce may restrain the growth of the predictive maintenance market.
The services segment to grow at a higher CAGR during the forecast period. The predictive maintenance market is segmented on the basis of components, such as solutions and services. The services segment is expected to grow at a rapid pace during the forecast period. An efficient predictive maintenance service help organizations develop a connected environment by integrating predictive maintenance solution with their existing IT infrastructure.

Request to Fill The Form To get Sample Copy of This Report: https://www.sdki.jp/sample-request-106877

"The Final Report will cover the impact analysis of COVID-19 on this industry (Global And Regional Market)."

The report includes the study of the key players offering predictive maintenance solutions and services. It profiles major vendors in the global predictive maintenance market.

The major vendors include:

IBM (US),
Microsoft (US),
SAP (Germany),
GE (US),
Schneider Electric (France),
Hitachi (Japan),
PTC (US),
Software AG (Germany),
SAS (US),
TIBCO (US),
C3 IoT (US),
Uptake (US),
Softweb Solutions (US),
Asystom (France),
Ecolibrium Energy (India),
Fiix (Canada),
OPEX Group (UK),
Dingo (Australia),
Sigma Industrial Precision (Spain).

It also includes an in-depth competitive analysis of the key players in the predictive maintenance market, along with their company profiles, business overviews, product offerings, recent developments, and market strategies.

The energy and utilities segment to grow at the highest CAGR during the forecast period
The predictive maintenance market by vertical has been segmented into government and defense, manufacturing, energy and utilities, transportation and logistics, health and life sciences and others (agriculture, telecom, media, and retail). The energy and utilities segment to grow at the highest CAGR during the forecast period, due to the growing demand for automated of power-usage analytics applications.
Among regions, Asia Pacific (APAC) to grow at the highest CAGR during the forecast period
APAC is expected to grow at the highest CAGR during the forecast period. The increasing investments by the tech companies in major APAC countries, such as China, and Japan, increasing government regulations and initiatives are expected to drive the growth of the market in APAC.

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the predictive maintenance market.

By Company: Tier I: 15%, Tier II: 42%, and Tier III: 43%
By Designation: C-Level: 62%, Director-Level: 20%, and Others: 18%
By Region: North America: 40%, APAC: 30%, Europe: 20%, MEA: 5%, and Latin America: 5%

Request to Fill The Form To get Sample Copy of This Report: https://www.sdki.jp/sample-request-106877

"The Final Report will cover the impact analysis of COVID-19 on this industry (Global And Regional Market)."

Research coverage
The report segments the global predictive maintenance market by component, solution, service, deployment mode, organization size, and region. The predictive maintenance market by vertical is divided into government and defense, manufacturing, energy and utilities, transportation and logistics, health and life sciences and others (agriculture, telecom, media, and retail) categories. The component segment comprises solutions and services. The solutions segment is further segmented into integrated solutions and standalone solutions. The services segment is divided into system integration, support and maintenance, and consulting services. The predictive maintenance market by deployment mode is segmented into cloud and on-premises. Based on organization size, the predictive maintenance market is divided into large enterprises and Small and Medium-sized Enterprises (SMEs). The report also covers the predictive maintenance market with respect to five major regions: North America, Europe, APAC, Latin America, and the Middle East & Africa (MEA).

The report will help the market leaders and new entrants in the global predictive maintenance market in the following ways:
1. The report segments the market into various subsegments; hence, it covers the market comprehensively. It provides the closest approximations of the revenue numbers for the overall market and its subsegments. The market numbers are split further across verticals and regions.
2. It helps in understanding the overall growth of the market. It also provides information about key market drivers, restraints, challenges, and opportunities.
3. It helps stakeholders in understanding their competitors better and gaining more insights to strengthen their positions in the market. The study also presents the positioning of the key players based on their product offerings and business strategies.

TABLE OF CONTENTS

1 INTRODUCTION 17
1.1 OBJECTIVES OF THE STUDY 17
1.2 MARKET DEFINITION 17
1.3 MARKET SCOPE 18
1.3.1 MARKET SEGMENTATION 18
1.3.2 REGIONS COVERED 18
1.4 YEARS CONSIDERED FOR THE STUDY 19
1.5 CURRENCY CONSIDERED 19
1.6 STAKEHOLDERS 19
2 RESEARCH METHODOLOGY 20
2.1 RESEARCH DATA 20
2.1.1 SECONDARY DATA 21
2.1.2 PRIMARY DATA 21
2.1.2.1 Breakup of primary profiles 21
2.1.2.2 Key industry insights 22
2.2 MARKET BREAKUP AND DATA TRIANGULATION 23
2.3 MARKET SIZE ESTIMATION 23
2.3.1 TOP-DOWN APPROACH 24
2.3.2 BOTTOM-UP APPROACH 24
2.4 MARKET FORECAST 25
2.5 ASSUMPTIONS FOR THE STUDY 26
2.6 LIMITATIONS OF THE STUDY 26
3 EXECUTIVE SUMMARY 27
4 PREMIUM INSIGHTS 32
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE PREDICTIVE MAINTENANCE MARKET 32
4.2 PREDICTIVE MAINTENANCE MARKET: TOP 3 VERTICALS 32
4.3 PREDICTIVE MAINTENANCE MARKET: BY REGION 33
4.4 PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COMPONENT AND DEPLOYMENT MODE 33
5 MARKET OVERVIEW AND INDUSTRY TRENDS 34

Request to Fill The Form To get Sample Copy of This Report: https://www.sdki.jp/sample-request-106877

"The Final Report will cover the impact analysis of COVID-19 on this industry (Global And Regional Market)."

The dynamic nature of business environment in the current global economy is raising the need amongst business professionals to update themselves with current situations in the market. To cater such needs, Shibuya Data Count provides market research reports to various business professionals across different industry verticals, such as healthcare & pharmaceutical, IT & telecom, chemicals and advanced materials, consumer goods & food, energy & power, manufacturing & construction, industrial automation & equipment and agriculture & allied activities amongst others.


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