Market Overview:
The global intelligent soft sensor market is expected to grow at a CAGR of 7.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for soft sensors in various industries such as utilities, oil and gas, manufacturing, automotive and transportation, and others. In addition, the growing trend of cloud-based soft sensors is also contributing to the growth of this market.
Product Definition:
An intelligent soft sensor is a mathematical model that estimates the state of a process, using data from input and output variables. The purpose of an intelligent soft sensor is to improve the accuracy of estimation, by incorporating knowledge about the process into the model.
Cloud-based:
Cloud-based is a term used to define software or services that provide shared computer resources over the internet. It also helps in storing data on digital media for future references. Cloud computing offers various advantages such as scalability, cost effectiveness and flexibility of operations which are expected to drive the market growth over the forecast period.
On-premise:
On-premise is a term used for software and data that are installed and run from the original source device or system. In other words, it's an installation of software on the end user's own PC or server to perform a function. The most common types of on-premise solutions include CRM, Customer Relationship Management (CRM), ecommerce websites, email marketing services, helpdesk solution and others.
Application Insights:
The manufacturing sector accounted for the largest revenue share in 2016 and is expected to continue its dominance over the forecast period. The Intelligent Soft Sensor (ISS) provides continuous monitoring of physical parameters such as temperature, pressure, humidity, and flow which enables real-time data processing in industrial automation systems. It also helps prevent human errors caused due to manual data entry by providing automated logistic solutions that can be used across multiple industries such as oil & gas, utilities etc.
The automotive and transportation segment is anticipated to witness significant growth over the forecast period owing to increasing demand for advanced driver assistance systems (ADAS). These ADAS include vision sensors that help drivers avoid accidents by providing alerts about vehicles ahead or behind them along with lane departure warning system using radar sensors. Such advancements are possible with ISS technology owing to cloud-based architecture which enables real-time data processing thus driving industry growth further.
Regional Analysis:
North America dominated the global market in 2017. The region is expected to maintain its lead over the forecast period owing to early adoption of technologies and increased focus on energy security. Europe accounted for a significant share of revenue in 2017, owing to high penetration rates of IoT devices coupled with rising demand for smart sensors from industries such as manufacturing, utilities, oil and gas, automotive and transportation. Asia Pacific is projected to be the fastest-growing regional market at a CAGR exceeding 10% from 2018 to 2030 due to increasing government initiatives pertaining toward intelligent infrastructure development along with rising investments by private companies in developing countries such as China and India.
Growth Factors:
- Increasing demand for smart and efficient systems in various industries
- Rising awareness about the benefits of soft sensors over traditional hard sensors
- Proliferation of Internet of Things (IoT) and big data analytics
- Growing number of research and development activities in soft sensor technology
- Emergence of new applications for soft sensors
Scope Of The Report
Report Attributes
Report Details
Report Title
Intelligent Soft Sensor Market Research Report
By Type
Cloud-based, On-premise
By Application
Utilities, Oil and Gas, Manufacturing, Automotive and Transportation, Others
By Companies
General Electric, Siemens, Cisco, Honeywell, Schneider Electric, Elliptic Labs, Exputec, TACTILE MOBILITY, IntelliDynamics, ANDATA, Aspen Technology, OSIsoft, Modelway, LMI Technologies
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
213
Number of Tables & Figures
150
Customization Available
Yes, the report can be customized as per your need.
Global Intelligent Soft Sensor Market Report Segments:
The global Intelligent Soft Sensor market is segmented on the basis of:
Types
Cloud-based, On-premise
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Utilities, Oil and Gas, Manufacturing, Automotive and Transportation, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- General Electric
- Siemens
- Cisco
- Honeywell
- Schneider Electric
- Elliptic Labs
- Exputec
- TACTILE MOBILITY
- IntelliDynamics
- ANDATA
- Aspen Technology
- OSIsoft
- Modelway
- LMI Technologies
Highlights of The Intelligent Soft Sensor Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Cloud-based
- On-premise
- By Application:
- Utilities
- Oil and Gas
- Manufacturing
- Automotive and Transportation
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Intelligent Soft Sensor Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
An intelligent soft sensor is a type of sensor that can be programmed to detect certain types of stimuli. These sensors are often used in industrial applications, such as manufacturing and logistics, where they are able to detect changes in temperature, pressure, or vibration.
Some of the key players operating in the intelligent soft sensor market are General Electric, Siemens, Cisco, Honeywell, Schneider Electric, Elliptic Labs, Exputec, TACTILE MOBILITY, IntelliDynamics, ANDATA, Aspen Technology, OSIsoft, Modelway, LMI Technologies.
The intelligent soft sensor market is expected to grow at a compound annual growth rate of 7.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Intelligent Soft Sensor Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Intelligent Soft Sensor Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Intelligent Soft Sensor Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Intelligent Soft Sensor Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Intelligent Soft Sensor Market Size & Forecast, 2018-2028
4.5.1 Intelligent Soft Sensor Market Size and Y-o-Y Growth
4.5.2 Intelligent Soft Sensor Market Absolute $ Opportunity
Chapter 5 Global Intelligent Soft Sensor Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Intelligent Soft Sensor Market Size Forecast by Type
5.2.1 Cloud-based
5.2.2 On-premise
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Intelligent Soft Sensor Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Intelligent Soft Sensor Market Size Forecast by Applications
6.2.1 Utilities
6.2.2 Oil and Gas
6.2.3 Manufacturing
6.2.4 Automotive and Transportation
6.2.5 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Intelligent Soft Sensor Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Intelligent Soft Sensor Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Intelligent Soft Sensor Analysis and Forecast
9.1 Introduction
9.2 North America Intelligent Soft Sensor Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Intelligent Soft Sensor Market Size Forecast by Type
9.6.1 Cloud-based
9.6.2 On-premise
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Intelligent Soft Sensor Market Size Forecast by Applications
9.10.1 Utilities
9.10.2 Oil and Gas
9.10.3 Manufacturing
9.10.4 Automotive and Transportation
9.10.5 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Intelligent Soft Sensor Analysis and Forecast
10.1 Introduction
10.2 Europe Intelligent Soft Sensor Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Intelligent Soft Sensor Market Size Forecast by Type
10.6.1 Cloud-based
10.6.2 On-premise
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Intelligent Soft Sensor Market Size Forecast by Applications
10.10.1 Utilities
10.10.2 Oil and Gas
10.10.3 Manufacturing
10.10.4 Automotive and Transportation
10.10.5 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Intelligent Soft Sensor Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Intelligent Soft Sensor Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Intelligent Soft Sensor Market Size Forecast by Type
11.6.1 Cloud-based
11.6.2 On-premise
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Intelligent Soft Sensor Market Size Forecast by Applications
11.10.1 Utilities
11.10.2 Oil and Gas
11.10.3 Manufacturing
11.10.4 Automotive and Transportation
11.10.5 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Intelligent Soft Sensor Analysis and Forecast
12.1 Introduction
12.2 Latin America Intelligent Soft Sensor Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Intelligent Soft Sensor Market Size Forecast by Type
12.6.1 Cloud-based
12.6.2 On-premise
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Intelligent Soft Sensor Market Size Forecast by Applications
12.10.1 Utilities
12.10.2 Oil and Gas
12.10.3 Manufacturing
12.10.4 Automotive and Transportation
12.10.5 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Intelligent Soft Sensor Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Intelligent Soft Sensor Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Intelligent Soft Sensor Market Size Forecast by Type
13.6.1 Cloud-based
13.6.2 On-premise
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Intelligent Soft Sensor Market Size Forecast by Applications
13.10.1 Utilities
13.10.2 Oil and Gas
13.10.3 Manufacturing
13.10.4 Automotive and Transportation
13.10.5 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Intelligent Soft Sensor Market: Competitive Dashboard
14.2 Global Intelligent Soft Sensor Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 General Electric
14.3.2 Siemens
14.3.3 Cisco
14.3.4 Honeywell
14.3.5 Schneider Electric
14.3.6 Elliptic Labs
14.3.7 Exputec
14.3.8 TACTILE MOBILITY
14.3.9 IntelliDynamics
14.3.10 ANDATA
14.3.11 Aspen Technology
14.3.12 OSIsoft
14.3.13 Modelway
14.3.14 LMI Technologies
