Press Release

Smart Manufacturing Platform Market is expected to reach $16.29 Billion in 2026, with a CAGR of 20.3% | 3D Systems, ABB, Cisco, Emerson, GE, Honeywell, IBM, Oracle

This comprehensive Smart Manufacturing Platform Market research report 2019 – 2026 includes a brief on these trends that can help the businesses operating in the industry to understand the market and strategize for their business expansion accordingly. The research report analyzes the market size, industry share, growth, key segments, CAGR and key drivers.

Overview of the Global Smart Manufacturing Platform Market:

The Global Smart Manufacturing Platform Market is accounted for $3.09 Billion in 2017 and is expected to reach $16.29 Billion by 2026 growing at a CAGR of 20.3% during the forecast period (2019-2023).

Some of the key factors influencing the market growth are rising government investments supporting industrial automation and increase in the adoption industry 4.0 solutions are the major factors boosting market growth However, Threats related to Cybersecurity Complexity in implementing smart manufacturing systems are the propelling factors.

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Smart manufacturing platform is associated with the concept of smart manufacturing or Industry 4.0 that enables companies to connect to Industrial Internet of Things (IIoT) emphasizing on collecting, analyzing, and making use of as much data as possible, turn data insights into direct action, and create competitive advantage. Smart manufacturing platform usually finds its usability for performance optimization, asset management, condition monitoring, predictive maintenance, etc.

Based on Type, Device Management segment is expected to grow at a significant rate during the forecast period. The rise in automation is resulting in the increasing implementation of IoT devices in various industries. As many IoT deployments comprise hundreds of thousands to millions of devices, it becomes important to track, monitor, and manage connected device fleets. Device management platform enables users to track, monitor, and manage IoT devices.

On the basis of regional analysis, Asia Pacific region is anticipated to exhibit the considerable growth of the global Clean room lighting market. Asia Pacific is likely to be the fastest growing region for the smart manufacturing platform market in the coming years. Asia Pacific has become a global focal point for large investments and business expansions, thereby providing opportunities for the smart manufacturing platform market.

This comprehensive Smart Manufacturing Platform Market research report 2019 – 2026 includes a brief on these trends that can help the businesses operating in the industry to understand the market and strategize for their business expansion accordingly. The research report analyzes the market size, industry share, growth, key segments, CAGR and key drivers.

Purchase this report online with 157 Pages, Top Key Players Analysis and List of Tables & Figure @ https://marketprognosis.com/buyReport/20256 .

Major Key Players:

1 3D Systems

2 ABB

3 Cisco

4 Daifuku

5 Emerson

6 GE

7 Honeywell

8 IBM

9 Jbt

10 Oracle and More…………

Market Segment by Types:

1 Application Enablement Platform

2 Connectivity Management

3 Device Management

Market Segment by Deployment Type:

1 Cloud

2 On-Premises

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This study answers to the below key questions:

1 What will the market size be in 2026 and what will the growth rate be?

2 What are the key market trends?

3 What are the challenges to market growth?

4 Who are the key players in this market?

5 What are the market opportunities and threats faced by the key players?

Table of Contents:

1 Executive Summary

2 Preface

3 Market Trend Analysis

4 Porters Five Force Analysis

5 Global Smart Manufacturing Platform Market, By Application

6 Global Smart Manufacturing Platforms Market, By Type

7 Global Smart Manufacturing Platforms Market, By Deployment Type

8 Global Smart Manufacturing Platforms Market, By End User

9 Global Smart Manufacturing Platform Market, By Geography

10 Key Developments

11 Company Profiling

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