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Global Distributed Fiber Optic Sensor Market to reach USD 2.00 million by 2027.

Global Distributed Fiber Optic Sensor Market Size study, by Technology (Rayleigh Effect, Brillouin Scattering, Raman Effect, Interferometric, Bragg Grating), by Vertical ( Oil & Gas, Power & Utility, Safety & Security, Industrial, Civil Engineering), by Application (Temperature Sensing, Acoustic/Vibration sensing and others), and Regional Forecasts 2021-2027

Product Code: EESC-68765945
Publish Date: 17-07-2021
Page: 200

Global Distributed Fiber Optic sensor Market is valued approximately at USD 1.14 Billion in 2020 and is anticipated to grow with a healthy growth rate of more than 8.4% over the forecast period 2021-2027. Distributed fiber optic sensors are optoelectronic devices and are used in measuring the physical parameters along with the length of the optical fiber. The device helps in the formation of a continuous profile of temperature, acoustics, and strain conditions with the entire length of the fiber. The global distributed fiber optic sensor market is being driven by significant demand from the civil engineering vertical and rising adoption in the oil & gas sector. Furthermore, increasing demand for data-based analysis and stringent statutory regulations regarding leak detection, will provide new opportunities for the global distributed fiber optic sensor industry. For instance, according to Indian brand equity foundation, in India, in year 2020 the petroleum products consumption grew at 4.5% to 213.69 MMT as compared to 213.22 MMT in year 2019. Additionally, in year 2020 the total exported value of petroleum products from the country raised to US$ 35.8 billion as compare to US$ 34.9 billion in year 2019. The Export value of petroleum products in India has been increased from 60.54 MMT in year 2016 to 65.7 MMT in year 2020. As a result, increased automation will necessitate the use of more distributed fiber optic sensor in the manufacturing of different automobile parts, which will serve as a catalyst for the distributed fiber optic sensor industry in the future. However, high initial acquisition & installation costs of optical technology, may impede market growth over the forecast period of 2021-2027.

Asia Pacific, North America, Europe, Latin America, and Rest of the World are the key regions considered for the regional analysis of global distributed fiber optic sensor market. The presence of key players in the region and the presence of the well-established oil and natural gas industry in United States makes North America the leading region across the world in terms of market share. Whereas Asia Pacific is also anticipated to exhibit the highest growth rate over the forecast period 2021-2027 due to increased demand for distribution of fiber optic sensor systems in oil and gas industry, and power as well as utility verticals in the region.
Major market player included in this report are:

Schlumberger Limited
Yokogawa Electric Corporation
Qinetiq Group PLC
Omnisens SA
Brugg Kabel AG
Luna Innovations Incorporated
AP Sensing GmbH
Weatherford International Plc

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Product Type:
Rayleigh Effect
Brillouin Scattering
Raman Effect
Bragg Grating
By Vertical :
Oil & Gas
Power & Utility
Safety & Security
Civil Engineering
By Application:
Temperature Sensing
Acoustic/Vibration sensing

By Region:
North America

Asia Pacific
South Korea
Latin America
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019
Base year – 2020
Forecast period – 2021 to 2027.

Target Audience of the Global Distributed Fiber Optic Sensor Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2027 (USD Billion)
1.2.1. Distributed Fibre Optic Sensor Market , by Region, 2019-2027 (USD Billion)
1.2.2. Distributed Fibre Optic Sensor Market , by Technology, 2019-2027 (USD Billion)
1.2.3. Distributed Fibre Optic Sensor Market , by Vertical , 2019-2027 (USD Billion)
1.2.4. Distributed Fibre Optic Sensor Market , by Application, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Distributed Fibre Optic Sensor Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Distributed Fibre Optic Sensor Market Dynamics
3.1. Distributed Fibre Optic Sensor Market Impact Analysis (2019-2027)
3.1.1. Market Drivers Significant demand from the civil engineering vertical Rising adoption in the oil & gas sector
3.1.2. Market Restraint High initial acquisition & installation costs of optical technology
3.1.3. Market Opportunities Increasing demand for data-based analysis Stringent statutory regulations regarding leak detection

Chapter 4. Global Distributed Fibre Optic Sensor Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Distributed Fibre Optic Sensor Market , by Technology
5.1. Market Snapshot
5.2. Global Distributed Fibre Optic Sensor Market by Technology, Performance – Potential Analysis
5.3. Global Distributed Fibre Optic Sensor Market Estimates & Forecasts by Technology 2018-2027 (USD Billion)
5.4. Distributed Fibre Optic Sensor Market , Sub Segment Analysis
5.4.1. Rayleigh Effect
5.4.2. Brillouin Scattering
5.4.3. Raman Effect
5.4.4. Interferometric
5.4.5. Bragg Grating
Chapter 6. Global Distributed Fibre Optic Sensor Market , by Vertical
a. Market Snapshot
6.1. Global Distributed Fibre Optic Sensor Market by Vertical, Performance – Potential Analysis
6.2. Global Distributed Fibre Optic Sensor Market Estimates & Forecasts by Vertical 2018-2027 (USD Billion)
6.3. Distributed Fibre Optic Sensor Market , Sub Segment Analysis
6.3.1. Oil & Gas
6.3.2. Power & Utility
6.3.3. Safety & Security
6.3.4. Industrial
6.3.5. Civil Engineering
Chapter 7. Global Distributed Fibre Optic Sensor Market , by Application
b. Market Snapshot
7.1. Global Distributed Fibre Optic Sensor Market by Application, Performance – Potential Analysis
7.2. Global Distributed Fibre Optic Sensor Market Estimates & Forecasts by Application 2018-2027 (USD Billion)
7.3. Distributed Fibre Optic Sensor Market , Sub Segment Analysis
7.3.1. Temperature Sensing
7.3.2. Acoustic/Vibration Sensing
7.3.3. Other
Chapter 8. Global Distributed Fibre Optic Sensor Market , Regional Analysis
8.1. Distributed Fibre Optic Sensor Market , Regional Market Snapshot
8.2. North America Distributed Fibre Optic Sensor Market
8.2.1. U.S. Distributed Fibre Optic Sensor Market Technology breakdown estimates & forecasts, 2018-2027 Vertical breakdown estimates & forecasts, 2018-2027 Application breakdown estimates & forecasts, 2018-2027
8.2.2. Canada Distributed Fibre Optic Sensor Market
8.3. Europe Distributed Fibre Optic Sensor Market Snapshot
8.3.1. U.K. Distributed Fibre Optic Sensor Market
8.3.2. Germany Distributed Fibre Optic Sensor Market
8.3.3. France Distributed Fibre Optic Sensor Market
8.3.4. Spain Distributed Fibre Optic Sensor Market
8.3.5. Italy Distributed Fibre Optic Sensor Market
8.3.6. Rest of Europe Distributed Fibre Optic Sensor Market
8.4. Asia-Pacific Distributed Fibre Optic Sensor Market Snapshot
8.4.1. China Distributed Fibre Optic Sensor Market
8.4.2. India Distributed Fibre Optic Sensor Market
8.4.3. Japan Distributed Fibre Optic Sensor Market
8.4.4. Australia Distributed Fibre Optic Sensor Market
8.4.5. South Korea Distributed Fibre Optic Sensor Market
8.4.6. Rest of Asia Pacific Distributed Fibre Optic Sensor Market
8.5. Latin America Distributed Fibre Optic Sensor Market Snapshot
8.5.1. Brazil Distributed Fibre Optic Sensor Market
8.5.2. Mexico Distributed Fibre Optic Sensor Market
8.6. Rest of The World Distributed Fibre Optic Sensor Market
Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. Schlumberger Limited Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.2.2. Halliburton
9.2.3. Yokogawa Electric Corporation
9.2.4. Mavrck
9.2.5. Qinetiq Group PLC
9.2.6. Omnisens SA
9.2.7. Brugg Kabel AG
9.2.8. Luna Innovations Incorporated
9.2.9. AP Sensing GmbH
9.2.10. Weatherford International Plc

Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

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Data Collection:
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Data Analysis:
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To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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