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Global Smart Manufacturing Platform Market with COVID-19 Impact, by type (Device Management, Connectivity Management, Application Enablement Platform), Application (Performance, Optimization, Asset & Condition Monitoring), Industry, Region - Forecast to 2026

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    Report

  • 255 Pages
  • April 2021
  • Region: Global
  • Markets and Markets
  • ID: 5317931

The global smart manufacturing platform market size is expected to grow from USD 5.8 billion in 2021 to USD 13.2 billion by 2026, at a CAGR of 18.0%. The growth of this market is mainly driven by growth in industrial automation, growing adoption of smart manufacturing platforms in automotive industry, increasing support from governments for industrial automation, and growing need for streamlined and automated data to boost productivity. However, factors such as lacked of skilled IoT-related workforce and requirement of maintenance attributed to frequent software upgradation are restraining the market growth.




Device management platform to grow at highest CAGR during the forecast period

The increasing number of IoT devices in the manufacturing plants has surged the necessity of collecting, analyzing, monitoring, and managing data generated from the devices to improve the company’s operational efficiency. The device management platform helps to manage data generated from the IoT devices that are connected to the manufacturing equipment. The data managed includes data transmitted from the IoT devices, any processed data from the backend, data related to software updates, predictive maintenance data, or any analyzed data of utmost importance in system functioning.

Process industry dominated the smart manufacturing platform market in 2020

The process industry includes oil & gas, chemical, energy and power, food & beverage; pharmaceutical; mining & metals industries; and others. With the emergence of Industry 4.0 and the Big Data movement gaining momentum, industries are now presented with unique opportunities in terms of key enablers for boosting their performance to a new level. The power & energy dominates the smart manufacturing platform market and is estimated to continue its dominance over the forecast period. The power & gas industry faces various challenges such environmental impact and scarcity associated with conventional source might lead to a probable energy crisis in the coming years. Hence, optimization in the energy & power industry has become necessary to increase productivity, efficiency, and their utilization., which has increased the adoption of smart manufacturing platforms in the power &energy industry. Besides, the oil & gas industry faces various challenges such as unexpected downtime and an absence of synergy across different processes throughout the supply chain, which has increased the adoption of smart manufacturing platforms in the oil & gas industry, and thus the industry holds a significant share of the market.

Market in APAC to grow at highest CAGR during the forecast period

The growth of the region is attributed to the impressive development in industrialization for the last few years. Besides, increasing government support for the adoption of automation technologies and digitization is also responsible for the growth of the smart manufacturing platform market in the region. However, the rapid spread of the novel COVID-19 has resulted in disruptions in supply chain activities, revenue losses, and slowdown in production activities which have slightly impacted the growth of the market in the region in Q1 and Q2 of 2020, eventually impacting the economy. The manufacturers are focusing towards digitalization after the pandemic crisis, which has resulted into increased in the adoption of smart manufacturing platforms in various industry.

Breakdown of the profiles of primary participants: 


  • By Company Type: Tier 1 - 52%, Tier 2 - 31%, and Tier 3 - 17% 
  • By Designation: C-level Executives - 47%, Directors - 31%, and others - 22% 
  • By Region: North America - 36%, Europe - 29%, APAC - 30%, and RoW - 5% 

Major players profiled in this report are as follows: ABB (Switzerland), Siemens (Germany), Schneider Electric (France), IBM (US), PTC Inc. (US), SAP SE (Germany), Emerson Electric Co. (US), GENERAL ELECTRIC (US), and others.

Research Coverage

In this report, the smart manufacturing platform market has been segmented based on type, organization size, application, industry, deployment type, and region. The smart manufacturing platform market based on type has been segmented into device management, connectivity management, application enablement platform.

Based on the organization size, the market has been segmented into small & medium enterprises and large enterprises. Based on the application, the market has been segregated into performance optimization, asset and condition monitoring, and others. Based on industry the market is segmented into process industry and discrete industry, where the process industry is further segregated into oil & gas, power & energy, chemicals, pharmaceuticals, food & beverages, metals & mining, others; and discrete industry is further segmented into automotive, electronics & semiconductor, industrial manufacturing, medical devices, aerospace & defense, and others. Based on the deployment type, the market has been segment into cloud and on-premises.

The study also forecasts the size of the market in four main regions - North America, Europe, APAC, and RoW.

Key Benefits of Buying the Report

The report will help market leaders/new entrants in this market by segmenting the smart manufacturing platform market comprehensively and providing the closest approximation of the overall market size and subsegments that include type, organization size, application, industry, deployment type, and region. It will also help stakeholders understand the pulse of the market and provide them with information on key drivers, restraints, challenges, and opportunities pertaining to the smart manufacturing platform market. This report will assist stakeholders in understanding their competitors better and gain more insights to enhance their position in the business. 
The competitive landscape section includes the competitor ecosystem, as well as growth strategies such as product launches, acquisitions, and expansions carried out by major market players.


Table of Contents

1 Introduction
1.1. Study Objectives
1.2. Market Definition & Scope
1.2.1. Inclusion & Exclusion
1.3. Study Scope
1.3.1. Markets Covered
1.3.2. Years Covered
1.4. Currency
1.5. Limitations
1.6. Stakeholders
1.7. Summary of Changes

2 Research Methodology
2.1. Research Data
2.1.1. Secondary & Primary Research
2.1.2. Secondary Data
2.1.3. Primary Data
2.1.3.1. Primary Interviews with Experts
2.1.3.2. Key Data from Primary Sources
2.1.3.3. Key Industry Insights
2.1.3.4. Breakdown of Primaries
2.2. Market Size Estimation
2.2.1. Bottom-Up Approach
2.2.2. Top-Down Approach
2.3. Market Breakdown & Data Triangulation
2.4. Research Assumptions

3 Executive Summary
3.1. Realistic Scenario
3.2. Pessimistic Scenario
3.3. Optimistic Scenario

4 Premium Insights

5 Market Overview
5.1. Introduction
5.2. Market Dynamics
5.2.1. Drivers
5.2.2. Restraints
5.2.3. Opportunities
5.2.4. Challenges
5.3. Value Chain Analysis
5.4. Ecosystem
5.5. Yc - Ycc Shift for Smart Manufacturing Platform
5.6. Porter Five Force Analysis
5.7. Case Study
5.8. Technology Trends
5.9. Pricing Analysis
5.10. Patent Analysis
5.11. Standards & Regulatory Landscape

6 Smart Manufacturing Platform, by Type (Business Implications of COVID-19 on the Smart Manufacturing Platform Market is Covered in this Section)
6.1. Introduction
6.2. Device Management
6.3. Connectivity Management
6.4. Application Enablement Platform

7 Smart Manufacturing Platform, by Organization Size (Business Implications of COVID-19 on the Smart Manufacturing Platform Market is Covered in this Section)
7.1. Introduction
7.2. Small & Medium Enterprises
7.3. Large Enterprises

8 Smart Manufacturing Platform, by Application (Business Implications of COVID-19 on the Smart Manufacturing Platform Market is Covered in this Section)
8.1. Introduction
8.2. Performance Optimization
8.3. Asset and Condition Monitoring
8.4. Others

9 Smart Manufacturing Platform, by Industry (Business Implications of COVID-19 on the Smart Manufacturing Platform Market is Covered in this Section)
9.1. Introduction
9.2. Process Industry
9.2.1. Oil & Gas
9.2.2. Power & Energy
9.2.3. Chemicals
9.2.4. Pharmaceuticals
9.2.5. Food & Beverages
9.2.6. Metals & Mining
9.2.7. Others
9.3. Discrete Industry
9.3.1. Automotive
9.3.2. Electronics & Semiconductor
9.3.3. Industrial Manufacturing
9.3.4. Medical Devices
9.3.5. Aerospace & Defense
9.3.6. Others

10 Smart Manufacturing Platform, by Deployment Type (Business Implications of COVID-19 on the Smart Manufacturing Platform Market is Covered in this Section)
10.1. Introduction
10.2. Cloud
10.3. On-Premises

11 Geographical Analysis (Business Implications of COVID-19 on the Smart Manufacturing Platform Market is Covered in this Section)
11.1. Introduction
11.2. North America
11.2.1. US
11.2.2. Canada
11.2.3. Mexico
11.3. Europe
11.3.1. UK
11.3.2. Germany
11.3.3. France
11.3.4. Italy
11.3.5. Rest of Europe
11.4. APAC
11.4.1. China
11.4.2. Japan
11.4.3. South Korea
11.4.4. India
11.4.5. Rest of APAC
11.5. Rest of the World
11.5.1. South America
11.5.2. Middle East & Africa

12 Competitive Landscape
12.1. Introduction
12.1.1. Revenue Analysis of Top 5 Companies
12.2. Market Share Analysis of Top 5 Players, 2020
12.3. Company Evaluation Quadrant, 2020
12.3.1. Stars
12.3.2. Emerging Leaders
12.3.3. Pervasive
12.3.4. Participants
12.4. Small and Medium Enterprises (Sme) Evaluation Quadrant, 2020
12.4.1. Progressive Companies
12.4.2. Responsive Companies
12.4.3. Dynamic Companies
12.4.4. Starting Blocks
12.4.5. Smart Manufacturing Platform: Type Footprint
12.4.6. Smart Manufacturing Platform: Industry Footprint
12.5. Competitive Situation and Trends
12.5.1. Product Launches
12.5.2. Deals

13 Company Profiles (Business Overview, Products Offered, Analyst's Viewpoint)
13.1. Key Players
13.1.1. ABB
13.1.2. Siemens
13.1.3. Schneider Electric
13.1.4. Emerson
13.1.5. GE
13.1.6. IBM
13.1.7. PTC Inc.
13.1.8. SAP Se
13.1.9. Hitachi
13.1.10. Robert Bosch GmbH
13.1.11. Microsoft Corporation
13.1.12. Amazon Web Services
13.1.13. Fujitsu Ltd.
13.1.14. Rockwell Automation
13.1.15. Telit
13.2. Other Players
13.2.1. Altizon
13.2.2. Flutura
13.2.3. Qio Technologies
13.2.4. C3.Ai
13.2.5. Seebo
13.2.6. Litmus Automation
13.2.7. Losant
13.2.8. Zyfra
13.2.9. COPA DATA
13.2.10. DXC Technology

14 Adjacent Market

15 Appendix
15.1. Discussion Guide
15.2. Knowledge Store: The Subscription Portal
15.3. Available Customizations
15.4. Related Reports
15.5. Author Details


Executive Summary

Companies Mentioned

  • ABB
  • Altizon
  • Amazon Web Services
  • C3.Ai
  • COPA DATA
  • DXC Technology
  • Emerson
  • Flutura
  • Fujitsu Ltd.
  • GE
  • Hitachi
  • IBM
  • Key Players
  • Litmus Automation
  • Losant
  • Microsoft Corporation
  • Other Players
  • PTC Inc.
  • Qio Technologies
  • Robert Bosch GmbH
  • Rockwell Automation
  • SAP Se
  • Schneider Electric
  • Seebo
  • Siemens
  • Telit
  • Zyfra

Methodology

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Table Information