Report

iot in discrete manufacturing market trends and forecast 2016 2022

Worldwide IoT in Discrete Manufacturing Market: Market by Application (Data Management, Security, Monitoring & Tracking, Predictive Maintenance, Others); Software (Applications, Analytics & Visualization, Middleware, Security, Cloud & Fog Platform); Services (System Integration, Consulting & Knowledge Sharing, Managed Services); Verticals (Machineries, Aviation & Aerospace, Automotive, (Computer, Equipment & Personal Electronics), Others); Regions (North America, Europe, Asia Pacific, Latin America, Middle East & Africa) – Drivers, Opportunities, Trends, and Forecasts: 2016–2022

pages Pages: 105
tables Tables: 31
charts Charts: 70
country Regions/Countries: 4/15
compaines Companies: 8
enqhours Enquiry Hours: 10
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Overview

Manufacturing is on the cusp of IT revolution. The manufacturing sector is one of the earliest adopters of automated processes and robots, and have been utilizing sensor-based technologies for decades, though without realizing their full potential. New technologies are being used not only to make the process more effective but also to radically improve visibility in manufacturing to the point where each production unit will be visible in the entire process.

Product analysis

IoT is considered as an extension of connectivity and automation, mostly in M2M communications. Under IoT, while the sensors are responsible for the generation of data, cyber-physical systems are meant to cooperate & communicate with each other and the humans in real-time. The requirement is to decentralize the decision making across the system and facilitate the cyber-physical system to take decisions on their own.

Market analysis

According to Infoholic Research, the “Worldwide IoT in Discrete Manufacturing Market” is expected to reach $49.85 billion by 2022, growing at a CAGR of around 25.1% during the forecast period 2016–2022. At present, the discrete manufacturers are facing various challenges such as shorter innovation cycle, high resource volatility, customer expectations and competition in terms of differentiation. The manufacturing organizations have prioritized technology-driven innovation to address these challenges. Thus, advanced data processing technologies, analytical forecasting models, and IoT are likely to drive significant change in the manufacturing industry in the next 5–10 years.

Technology analysis

Middleware is an important prerequisite for the organizations opting for IoT across the entire manufacturing process. It acts as an interface between various IoT components and can even connect complex programs. Cloud & Fog platforms with an IoT operating system is another prerequisite to drive the performance and optimization of the processes. Platforms available in the form of PaaS help the developers in the programming of applications and integrating other applications and services. Applications which are relevant to be deployed on these platforms are predictive maintenance, resource optimization, and energy data management. Analytics & data visualization comes bundled with these platforms and are necessary to predict and analyze asset performance and act accordingly.

Regional analysis

At present, North America holds the largest share in the IoT in discrete manufacturing market. The region has a significant presence of manufacturers in discrete manufacturing and a well-developed IoT ecosystem. It also receives good support from the respective central governments and have well planned IoT policies and regulations in place to support the industry. Europe has taken the lead for the development of technology and is likely to register a significant growth rate in the next 5–10 years. The big economies of Europe have experienced Y-o-Y decline in their manufacturing revenues in the past 5 years. As such, rejuvenating the existing manufacturing base remains a top priority for Europe. Asia Pacific is an emerging market for manufacturing and is registering a stable growth rate in the region, more significantly in India and China. The players in the region would be investing in IoT to address the competition in the exports market and to safeguard the manufacturing interests of their respective countries. The central governments in these economies have strategized IoT as a part of the digital economy and would be making significant investments in IoT applications throughout the region.

Key players

The key players in the IoT in discrete manufacturing market are the major IT organizations (hardware and software), pure IoT players, and the major players in manufacturing. The list includes IBM, Microsoft, PTC, Cisco, Zebra Technologies, Stanley Black and Decker, SAP, Wipro, TCS, Siemens, GE, Rockwell Automation, Schneider Electric and ABB. Several of these players are conglomerates and consider IoT as a major part of their strategic business plans.

Competitive analysis

There is a presence of global conglomerates in IT and manufacturing, pure IoT players as well as various start-ups with innovative solutions, in the IoT in discrete manufacturing market. The major vendors and conglomerates in the market have a well-developed ecosystem, which includes various technology partners, resellers, and strategic business partners. Thus, these players have a competitive advantage when it comes to addressing the need of the market. However, the needs of the manufacturers keep on growing day by day and are open to invest in innovative solutions available from small players as well. IoT start-ups have garnered around $8 billion in venture investments over the past 6 years. In addition, few of the start-ups in IoT manufacturing are also being funded by industrial tech organizations (for instance, SmartCloud being funded by Rockwell Automation).

Benefits

IoT is capable of addressing the challenge of growing complexities in supply chain networks, in achieving operational efficiencies, and reducing operational costs. In addition, lean manufacturing has become a common practice among manufacturers who believe that IoT could provide required agility & flexibility across the production, and supply chain environments. In a digital manufacturing environment, everything is likely to revolve around cyber-physical systems and highly capable sensors. Such a system would provide complete visibility of the value chain and control capabilities from remote locations which are considered as the major requirements to move towards smart manufacturing. As such, IoT forms a major part of the Industry 4.0.

Key stakeholders

Manufacturers, logistics players, managed service providers, system integrators, consulting agencies, network providers, cloud service providers, software providers, policy makers, investor community, university researchers, blog writers, and technology magazines.
 

1     Industry Outlook 

1.1        Industry Overview
1.2        Industry Trends
1.3        PEST Analysis

2     Report Outline 

2.1        Report Scope
2.2        Report Summary
2.3        Research Methodology
2.4        Report Assumptions

3     Market Snapshot

3.1        Total Addressable Market (TAM)
3.2        Segmented Addressable Market (SAM)
3.2.1     IoT in Discrete Manufacturing Market by Types
3.3        Related Market
3.3.1     IoT in Process Manufacturing

4     Market Outlook 

4.1        Overview
4.2        Market Trends
4.3        Market Definition – Infoholic Research
4.4        Market Segmentation
4.5        Ecosystem – IoT in Discrete Manufacturing
4.6        Major Technological Solutions in the Discrete Manufacturing Market
4.7        Major IoT Solutions
4.8        Evolution of Technology in Manufacturing
4.9        Porter 5 (Five) Forces

5     Market Characteristics

5.1        IoT-Enabled Informed Manufacturing
5.2        Future Impact of IIoT Applications in Manufacturing
5.3        Market Dynamics
5.4        Drivers
5.4.1.1    Business efficiency and lower operational costs
5.4.1.2    Advancements in data analytics
5.4.1.3    Rise in use of wireless solutions
5.4.1.4    Aggressive growth strategy
5.5        Restraints
5.5.1.1    Lack of standards and interoperability
5.5.1.2    Security concerns
5.5.1.3    Lack of technological and ROI understanding
5.6        Opportunities
5.6.1.1    Growing market in Asia Pacific
5.6.1.2    Connected products
5.6.2     DRO – Impact Analysis

6     Application 

6.1        Overview
6.2        Data Management
6.3        Security
6.4        Monitoring and Tracking
6.5        Predictive Maintenance
6.6        Others

7     Software 

7.1        Overview
7.2        Applications
7.3        Analytics & Visualization
7.4        Middleware
7.5        Security
7.6        Cloud & Fog Platform

8     Services

8.1        Overview
8.2        System Integration
8.3        Consulting & Knowledge Sharing
8.4        Managed Services

9     Verticals

9.1        Overview
9.2        Machinery
9.3        Aviation and Aerospace
9.4        Automotive
9.5        Computer, Equipment & Personal Electronics
9.6        Others

10   Regions

10.1     Overview
10.2     North America
10.2.1  US  55
10.2.2  Canada
10.3     Europe
10.3.1  Germany
10.3.2  France
10.3.3  Netherlands
10.3.4  Sweden
10.3.5  Switzerland
10.3.6  UK
10.4     Asia Pacific
10.4.1  China
10.4.2  Japan
10.4.3  India
10.4.4  South Korea
10.4.5  Australia
10.5     Latin America
10.5.1  Brazil
10.5.2  Mexico
10.6     Middle East & Africa (MEA)

11   Vendor Profile 

11.1     PTC
11.1.1  Overview
11.1.2  Business Units
11.1.3  Geographic Revenue
11.1.4  Business Focus
11.1.5  SWOT Analysis
11.1.6  Business Strategy
11.2     Cisco Systems, Inc.
11.2.1  Overview
11.2.2  Business Units
11.2.3  Geographic Revenue
11.2.4  Business Focus
11.2.5  SWOT Analysis
11.2.6  Business Strategy
11.3     Wipro Limited
11.3.1  Overview
11.3.2  Business Units
11.3.3  Geographic Revenue
11.3.4  Business Focus
11.3.5  SWOT Analysis
11.3.6  Business Strategy
11.4     Rockwell Automation
11.4.1  Overview
11.4.2  Business Units
11.4.3  Geographic Revenue
11.4.4  Business Focus
11.4.5  SWOT Analysis
11.4.6  Business Strategies
11.5     Siemens AG
11.5.1  Overview
11.5.2  Business Units
11.5.3  Geographic Revenue
11.5.4  Business Focus
11.5.5  SWOT Analysis
11.5.6  Business Strategy
11.6     ABB Ltd.
11.6.1  Overview
11.6.2  Business Units
11.6.3  Geographic Revenue
11.6.4  Business Focus
11.6.5  SWOT Analysis
11.6.6  Business Strategy
11.7     General Electric
11.7.1  Overview
11.7.2  Business Units
11.7.3  Geographic Revenue
11.7.4  Business Focus
11.7.5  SWOT Analysis
11.7.6  Business Strategy
11.8     IBM
11.8.1  Overview
11.8.2  Business Unit
11.8.3  Geographic Revenue
11.8.4  Business Focus
11.8.5  SWOT Analysis
11.8.6  Business Strategy

12   Companies to Watch for

12.1     Konux
12.1.1  Overview
12.1.2  Konux Market
12.1.3  Konux in IoT in Discrete Manufacturing Market
12.2     Veniam
12.2.1  Overview
12.2.2  Veniam Market
12.2.3  Veniam in IoT in Discrete Manufacturing Market

Annexure 

Ø             Abbreviations

TABLE 1 IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY APPLICATIONS, 2016–2022 ($BILLION) 27
TABLE 2 IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY SOFTWARE, 2016–2022 ($BILLION) 33
TABLE 3 IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY SERVICES, 2016–2022 ($BILLION) 39
TABLE 4 IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY VERTICALS, 2016–2022, ($BILLION) 44
TABLE 5 IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY GEOGRAPHICAL SEGMENTATION, 2016–2022 ($BILLION) 51
TABLE 6 NORTH AMERICA IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY TYPES, 2016–2022 ($BILLION) 52
TABLE 7 NORTH AMERICA IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY SOFTWARE, 2016–2022 ($BILLION) 53
TABLE 8 NORTH AMERICA IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY SERVICES, 2016–2022 ($BILLION) 53
TABLE 9 NORTH AMERICA IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY APPLICATIONS, 2016–2022 ($BILLION) 54
TABLE 10 NORTH AMERICA IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY VERTICALS, 2016–2022 ($BILLION) 54
TABLE 11 EUROPE IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY TYPES, 2016–2022 ($BILLION) 57
TABLE 12 EUROPE IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY SOFTWARE, 2016–2022 ($BILLION) 57
TABLE 13 EUROPE IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY SERVICES, 2016–2022 ($BILLION) 57
TABLE 14 EUROPE IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY APPLICATIONS, 2016–2022 ($BILLION) 58
TABLE 15 EUROPE IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY VERTICALS, 2016–2022 ($BILLION) 58
TABLE 16 ASIA PACIFIC IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY TYPES, 2016–2022 ($BILLION) 63
TABLE 17 ASIA PACIFIC IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY SOFTWARE, 2016–2022 ($BILLION) 63
TABLE 18 ASIA PACIFIC IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY SERVICES, 2016–2022 ($BILLION) 64
TABLE 19 ASIA PACIFIC IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY APPLICATIONS, 2016–2022 ($BILLION) 64
TABLE 20 ASIA PACIFIC IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY VERTICALS, 2016–2022 ($BILLION) 65
TABLE 21 LATIN AMERICA IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY TYPES, 2016–2022 ($BILLION) 68
TABLE 22 LATIN AMERICA IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY SOFTWARE, 2016–2022 ($BILLION) 69
TABLE 23 LATIN AMERICA IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY SERVICES, 2016–2022, ($BILLION) 69
TABLE 24 LATIN AMERICA IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY APPLICATIONS, 2016–2022 ($BILLION) 70
TABLE 25 LATIN AMERICA IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY VERTICALS, 2016–2022 ($BILLION) 70
TABLE 26 MEA IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY VERTICALS, 2016–2022 ($BILLION) 72
TABLE 27 MEA IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY SOFTWARE, 2016–2022 ($BILLION) 73
TABLE 28 MEA IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY SERVICES, 2016–2022 ($BILLION) 73
TABLE 29 MEA IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY APPLICATIONS, 2016–2022 ($BILLION) 74
TABLE 30 MEA IOT IN DISCRETE MANUFACTURING MARKET REVENUE BY VERTICALS, 2016–2022 ($BILLION) 74
TABLE 31 SIEMENS: BUSINESS UNITS 93

Research Framework

Infoholic Research works on a holistic 360° approach in order to deliver high quality, validated and reliable information in our market reports. The Market estimation and forecasting involves following steps:

  • Data Collation (Primary & Secondary)
  • In-house Estimation (Based on proprietary data bases and Models)
  • Market Triangulation
  • Forecasting
Methodology

Market related information is congregated from both primary and secondary sources.

Primary sources

Involved participants from all global stakeholders such as Solution providers, service providers, Industry associations, thought leaders etc. across levels such as CXOs, VPs and managers. Plus, our in-house industry experts having decades of industry experience contribute their consulting and advisory services.

Secondary sources

Include public sources such as regulatory frameworks, government IT spending, government demographic indicators, industry association statistics, and company publications along with paid sources such as Factiva, OneSource, Bloomberg among others.

outicon

Worldwide IoT in Discrete Manufacturing Market: Market by Application (Data Management, Security, Monitoring & Tracking, Predictive Maintenance, Others); Software (Applications, Analytics & Visualization, Middleware, Security, Cloud & Fog Platform); Services (System Integration, Consulting & Knowledge Sharing, Managed Services); Verticals (Machineries, Aviation & Aerospace, Automotive, (Computer, Equipment & Personal Electronics), Others); Regions (North America, Europe, Asia Pacific, Latin America, Middle East & Africa) – Drivers, Opportunities, Trends, and Forecasts: 2016–2022
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