Distributed Temperature Sensing (DTS) Market – Global Industry Analysis and Forecast (2023-2029)


Distributed Temperature Sensing (DTS) Market was valued at US$ 816.95 Mn in 2022 and is expected to reach US$ 1188.41 Mn by 2029 at a CAGR of 5.5% during the forecast period.

The report includes an analysis of the impact of COVID-19 lockdown on the revenue of market leaders, followers, and disruptors. Since the lockdown was implemented differently in various regions and countries; the impact of the same is also seen differently by regions and segments. The report has covered the current short-term and long-term impact on the market, and it would help the decision-makers to prepare the outline and strategies for companies by region.Distributed Temperature Sensing (DTS) MarketTo know about the Research Methodology:-Request Free Sample Report

Distributed Temperature Sensing (DTS) Market Dynamics:

The major factors driving the growth of distributed temperature sensing market include the increasing demand for distributed temperature sensing for monitoring purposes in hostile working conditions where humans cannot reach, high reliability of distributed temperature sensing as they can be deployed over long distances, and increasing need for improved safety systems. Furthermore, lack of technical awareness about sensor cables application and high implementation costs restrains the growth of distributed temperature sensing market.

Segment Analysis of the Distributed Temperature Sensing (DTS) Market:

The market for optical time-domain reflectometry (OTDR) operating principle-based distributed temperature sensing held the largest share of the distributed temperature sensing market. Optical time domain reflectometry (OTDR) has a mainframe that can be fitted with multi-function plug-in units to perform many fibers measurement tasks and larger color displays are common. As compare to OFDR, OTDR exhibits high accuracy, high-temperature range, and high instrument resolution.

Single-mode fiber-based distributed temperature sensing systems are expected to hold the biggest share of the distributed temperature sensing market. The distributed temperature sensing system is used to monitor the temperature on a continuous basis in real-time in order to improve the operational and economic performances of the assets.

Oil & gas production holds a maximum share for distributed temperature sensing market. These two applications have generated substantial revenue and are expected to witness high-growth rates during the forecast period. Environmental monitoring and fire detection segments are analyzed to be the most attractive applications and are estimated to grow at a significant rate in the distributed temperature sensing market.
Regional Insights of the Global Distributed Temperature Sensing (DTS) Market

The distributed temperature sensing market in the Asia Pacific is expected to grow at the highest rate. The increased demand for distributed temperature sensing in the oil & gas and power transmission sectors and the presence of major players in this region are the two crucial factors driving the market growth in the Asia Pacific. Countries in the Middle East are a major producer of oil & gas in the world thereby increasing the use of distributed temperature sensing for various applications is driving the growth of distributed temperature sensing market in this region.

Distributed Temperature Sensing (DTS) Market, Key Highlights:

• Global Distributed Temperature Sensing (DTS) Market analysis and forecast, in terms of value.

• Comprehensive study and analysis of market drivers, restraints and opportunities influencing the growth of the Global Distributed Temperature Sensing (DTS) Market

• Global Distributed Temperature Sensing (DTS) Market segmentation on the basis of type, source, end-user, and region (country-wise) has been provided.

• Global Distributed Temperature Sensing (DTS) Market strategic analysis with respect to individual growth trends, future prospects along with the contribution of various sub-market stakeholders have been considered under the scope of study.

• Global Distributed Temperature Sensing (DTS) Market analysis and forecast for five major regions namely North America, Europe, Asia Pacific, the Middle East & Africa (MEA) and Latin America along with country-wise segmentation.

• Profiles of key industry players, their strategic perspective, market positioning and analysis of core competencies are further profiled.

• Competitive developments, investments, strategic expansion and competitive landscape of the key players operating in the Global Distributed Temperature Sensing (DTS) Market are also profiled.

Scope of the Distributed Temperature Sensing (DTS) Market: Inquire before buying






Distributed Temperature Sensing (DTS) Market




Report Coverage
Details




Base Year:
2022
Forecast Period:
2023-2029




Historical Data:
2017 to 2022
Market Size in 2022:
US$ 816.95 Mn.




Forecast Period 2023 to 2029 CAGR:
5.5%
Market Size in 2029:
US$ 1188.41 Mn.




 Segments Covered:
by Fiber
• Single-Mode
• Multi-Mode




by Application
• Oil & Gas
• Power Cable Monitoring
• Fire Detection
• Process & Pipeline Monitoring




by Operating Principle
• Optical time domain reflectometry (OTDR)
• Optical frequency domain reflectometry (OFDR






Distributed Temperature Sensing (DTS) Market, by Region

• North America (United States, Canada and Mexico)
• Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and Rest of Europe)
• Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and Rest of APAC)
• Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A)
• South America (Brazil, Argentina Rest of South America)

Distributed Temperature Sensing (DTS) Market Key Players are:

• STMicroelectronics N.V.
• NXP semiconductors N.V.
• Infineon Technologies AG
• Qualcomm Technologies, Inc.
• Atmel Corporation
• Texas instruments Inc.
• Robert Bosch GmbH
• Johnson controls international PLC
• Sony Corporation
• Honeywell International, Inc.
• AP Sensing
• LIOS Technology
• Sensornet
• Sumitomo Electric
• Weatherford International
• Yokogawa

Frequently Asked Questions:

1. Which region has the largest share in Global Distributed Temperature Sensing (DTS) Market?
Ans: Asia Pacific region held the highest share in 2022.

2. What is the growth rate of Global Distributed Temperature Sensing (DTS) Market?
Ans: The Global Distributed Temperature Sensing (DTS) Market is growing at a CAGR of 5.5% during forecasting period 2023-2029.

3. What is scope of the Global Distributed Temperature Sensing (DTS) Market report?
Ans: Global Distributed Temperature Sensing (DTS) Market report helps with the PESTEL, PORTER, COVID-19 Impact analysis, Recommendations for Investors & Leaders, and market estimation of the forecast period.

4. Who are the key players in Global Distributed Temperature Sensing (DTS) Market?
Ans: The important key players in the Global Distributed Temperature Sensing (DTS) Market are – STMicroelectronics N.V., NXP semiconductors N.V., Infineon Technologies AG, Qualcomm Technologies, Inc., Atmel Corporation, Texas instruments Inc., Robert Bosch GmbH, Johnson controls international PLC, Sony Corporation, Honeywell International, Inc., AP Sensing, LIOS Technology, Sensornet, Sumitomo Electric, Weatherford International, Yokogawa.

5. What is the study period of this Market?
Ans: The Global Distributed Temperature Sensing (DTS) Market is studied from 2022 to 2029. 





Global Distributed Temperature Sensing (DTS) Market

1. Preface
1.1. Report Scope and Market Segmentation
1.2. Research Highlights
1.3. Research Objectives

2. Assumptions and Research Methodology
2.1. Report Assumptions
2.2. Abbreviations
2.3. Research Methodology
2.3.1. Secondary Research
2.3.1.1. Secondary data
2.3.1.2. Secondary Sources
2.3.2. Primary Research
2.3.2.1. Data from Primary Sources
2.3.2.2. Breakdown of Primary Sources

3. Executive Summary: Global Distributed Temperature Sensing (DTS) Size, by Market Value (US$ Bn)

4. Market Overview
4.1. Introduction
4.2. Market Indicator
4.2.1. Drivers
4.2.2. Restraints
4.2.3. Opportunities
4.2.4. Challenges
4.3. Porter’s Analysis
4.4. Value Chain Analysis
4.5. Market Risk Analysis
4.6. SWOT Analysis
4.7. Global Distributed Temperature Sensing (DTS) Market Industry Trends

5. Supply Side and Demand Side Indicators

6. Global Distributed Temperature Sensing (DTS) Analysis and Forecast
6.1. Global Distributed Temperature Sensing (DTS) Size & Y-o-Y Growth Analysis
6.1.1. North America
6.1.2. Europe
6.1.3. Asia Pacific
6.1.4. Middle East & Africa
6.1.5. South America

7. Global Distributed Temperature Sensing (DTS) Analysis and Forecast, By Operating Principle
7.1. Introduction and Definition
7.2. Key Findings
7.3. Global Distributed Temperature Sensing (DTS) Value Share Analysis, By Operating Principle
7.4. Global Distributed Temperature Sensing (DTS) Size (US$ Bn) Forecast, By Operating Principle
7.5. Global Distributed Temperature Sensing (DTS) Analysis, By Operating Principle
7.6. Global Distributed Temperature Sensing (DTS) Attractiveness Analysis, By Operating Principle

8. Global Distributed Temperature Sensing (DTS) Analysis and Forecast, By Fiber
8.1. Introduction and Definition
8.2. Key Findings
8.3. Global Distributed Temperature Sensing (DTS) Value Share Analysis, By Fiber
8.4. Global Distributed Temperature Sensing (DTS) Size (US$ Bn) Forecast, By Fiber
8.5. Global Distributed Temperature Sensing (DTS) Analysis, By Fiber
8.6. Global Distributed Temperature Sensing (DTS) Attractiveness Analysis, By Fiber

9. Global Distributed Temperature Sensing (DTS) Analysis and Forecast, By Application
9.1. Introduction and Definition
9.2. Key Findings
9.3. Global Distributed Temperature Sensing (DTS) Value Share Analysis, By Application
9.4. Global Distributed Temperature Sensing (DTS) Size (US$ Bn) Forecast, By Application
9.5. Global Distributed Temperature Sensing (DTS) Analysis, By Application
9.6. Global Distributed Temperature Sensing (DTS) Attractiveness Analysis, By Application

10. Global Distributed Temperature Sensing (DTS) Analysis, by Region
10.1. Global Distributed Temperature Sensing (DTS) Value Share Analysis, by Region
10.2. Global Distributed Temperature Sensing (DTS) Size (US$ Bn) Forecast, by Region
10.3. Global Distributed Temperature Sensing (DTS) Attractiveness Analysis, by Region

11. North America Distributed Temperature Sensing (DTS) Analysis
11.1. Key Findings
11.2. North America Distributed Temperature Sensing (DTS) Overview
11.3. North America Distributed Temperature Sensing (DTS) Value Share Analysis, By Operating Principle
11.4. North America Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
11.4.1. Optical time domain reflectometry (OTDR)
11.4.2. Optical frequency domain reflectometry (OFDR)
11.5. North America Distributed Temperature Sensing (DTS) Value Share Analysis, By Fiber
11.6. North America Distributed Temperature Sensing (DTS) Forecast, By Fiber
11.6.1. Single-Mode
11.6.2. Multi-Mode
11.7. North America Distributed Temperature Sensing (DTS) Value Share Analysis, By Application
11.8. North America Distributed Temperature Sensing (DTS) Forecast, By Application
11.8.1. Oil & Gas
11.8.2. Power Cable Monitoring
11.8.3. Fire Detection
11.8.4. Process & Pipeline Monitoring
11.9. North America Distributed Temperature Sensing (DTS) Value Share Analysis, by Country
11.10. North America Distributed Temperature Sensing (DTS) Forecast, by Country
11.10.1. U.S.
11.10.2. Canada
11.11. North America Distributed Temperature Sensing (DTS) Analysis, by Country
11.12. U.S. Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
11.12.1. Optical time domain reflectometry (OTDR)
11.12.2. Optical frequency domain reflectometry (OFDR)
11.13. U.S. Distributed Temperature Sensing (DTS) Forecast, By Fiber
11.13.1. Single-Mode
11.13.2. Multi-Mode
11.14. North America Distributed Temperature Sensing (DTS) Value Share Analysis, By Application
11.15. U.S. Distributed Temperature Sensing (DTS) Forecast, By Application
11.15.1. Oil & Gas
11.15.2. Power Cable Monitoring
11.15.3. Fire Detection
11.15.4. Process & Pipeline Monitoring
11.16. Canada Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
11.16.1. Optical time domain reflectometry (OTDR)
11.16.2. Optical frequency domain reflectometry (OFDR)
11.17. Canada Distributed Temperature Sensing (DTS) Forecast, By Fiber
11.17.1. Single-Mode
11.17.2. Multi-Mode
11.18. North America Distributed Temperature Sensing (DTS) Value Share Analysis, By Application
11.19. Canada Distributed Temperature Sensing (DTS) Forecast, By Application
11.19.1. Oil & Gas
11.19.2. Power Cable Monitoring
11.19.3. Fire Detection
11.19.4. Process & Pipeline Monitoring
11.20. North America Distributed Temperature Sensing (DTS) Attractiveness Analysis
11.20.1. By Operating Principle
11.20.2. By Fiber
11.20.3. By Application
11.21. PEST Analysis
11.22. Key Trends
11.23. Key Developments

12. Europe Distributed Temperature Sensing (DTS) Analysis
12.1. Key Findings
12.2. Europe Distributed Temperature Sensing (DTS) Overview
12.3. Europe Distributed Temperature Sensing (DTS) Value Share Analysis, By Operating Principle
12.4. Europe Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
12.4.1. Optical time domain reflectometry (OTDR)
12.4.2. Optical frequency domain reflectometry (OFDR)
12.5. Europe Distributed Temperature Sensing (DTS) Value Share Analysis, By Fiber
12.6. Europe Distributed Temperature Sensing (DTS) Forecast, By Fiber
12.6.1. Single-Mode
12.6.2. Multi-Mode
12.7. Europe Distributed Temperature Sensing (DTS) Value Share Analysis, By Application
12.8. Europe Distributed Temperature Sensing (DTS) Forecast, By Application
12.8.1. Oil & Gas
12.8.2. Power Cable Monitoring
12.8.3. Fire Detection
12.8.4. Process & Pipeline Monitoring
12.9. Europe Distributed Temperature Sensing (DTS) Value Share Analysis, by Country
12.10. Europe Distributed Temperature Sensing (DTS) Forecast, by Country
12.10.1. Germany
12.10.2. U.K.
12.10.3. France
12.10.4. Italy
12.10.5. Spain
12.10.6. Rest of Europe
12.11. Europe Distributed Temperature Sensing (DTS) Analysis, by Country
12.12. Germany Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
12.12.1. Optical time domain reflectometry (OTDR)
12.12.2. Optical frequency domain reflectometry (OFDR)
12.13. Germany Distributed Temperature Sensing (DTS) Forecast, By Fiber
12.13.1. Single-Mode
12.13.2. Multi-Mode
12.14. Germany Distributed Temperature Sensing (DTS) Forecast, By Application
12.14.1. Oil & Gas
12.14.2. Power Cable Monitoring
12.14.3. Fire Detection
12.14.4. Process & Pipeline Monitoring
12.15. U.K. Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
12.15.1. Optical time domain reflectometry (OTDR)
12.15.2. Optical frequency domain reflectometry (OFDR)
12.16. U.K. Distributed Temperature Sensing (DTS) Forecast, By Fiber
12.16.1. Single-Mode
12.16.2. Multi-Mode
12.17. U.K. Distributed Temperature Sensing (DTS) Forecast, By Application
12.17.1. Oil & Gas
12.17.2. Power Cable Monitoring
12.17.3. Fire Detection
12.17.4. Process & Pipeline Monitoring
12.18. France Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
12.18.1. Optical time domain reflectometry (OTDR)
12.18.2. Optical frequency domain reflectometry (OFDR)
12.19. France Distributed Temperature Sensing (DTS) Forecast, By Fiber
12.19.1. Single-Mode
12.19.2. Multi-Mode
12.20. France Distributed Temperature Sensing (DTS) Forecast, By Application
12.20.1. Oil & Gas
12.20.2. Power Cable Monitoring
12.20.3. Fire Detection
12.20.4. Process & Pipeline Monitoring
12.21. Italy Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
12.21.1. Optical time domain reflectometry (OTDR)
12.21.2. Optical frequency domain reflectometry (OFDR)
12.22. Italy Distributed Temperature Sensing (DTS) Forecast, By Fiber
12.22.1. Single-Mode
12.22.2. Multi-Mode
12.23. Italy Distributed Temperature Sensing (DTS) Forecast, By Application
12.23.1. Oil & Gas
12.23.2. Power Cable Monitoring
12.23.3. Fire Detection
12.23.4. Process & Pipeline Monitoring
12.24. Spain Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
12.24.1. Optical time domain reflectometry (OTDR)
12.24.2. Optical frequency domain reflectometry (OFDR)
12.25. Spain Distributed Temperature Sensing (DTS) Forecast, By Fiber
12.25.1. Single-Mode
12.25.2. Multi-Mode
12.26. Spain Distributed Temperature Sensing (DTS) Forecast, By Application
12.26.1. Oil & Gas
12.26.2. Power Cable Monitoring
12.26.3. Fire Detection
12.26.4. Process & Pipeline Monitoring
12.27. Rest of Europe Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
12.27.1. Optical time domain reflectometry (OTDR)
12.27.2. Optical frequency domain reflectometry (OFDR)
12.28. Rest of Europe Distributed Temperature Sensing (DTS) Forecast, By Fiber
12.28.1. Single-Mode
12.28.2. Multi-Mode
12.29. Rest Of Europe Distributed Temperature Sensing (DTS) Forecast, By Application
12.29.1. Oil & Gas
12.29.2. Power Cable Monitoring
12.29.3. Fire Detection
12.29.4. Process & Pipeline Monitoring
12.30. Europe Distributed Temperature Sensing (DTS) Attractiveness Analysis
12.30.1. By Operating Principle
12.30.2. By Fiber
12.30.3. By Application
12.31. PEST Analysis
12.32. Key Trends
12.33. Key Developments

13. Asia Pacific Distributed Temperature Sensing (DTS) Analysis
13.1. Key Findings
13.2. Asia Pacific Distributed Temperature Sensing (DTS) Overview
13.3. Asia Pacific Distributed Temperature Sensing (DTS) Value Share Analysis, By Operating Principle
13.4. Asia Pacific Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
13.4.1. Optical time domain reflectometry (OTDR)
13.4.2. Optical frequency domain reflectometry (OFDR)
13.5. Asia Pacific Distributed Temperature Sensing (DTS) Value Share Analysis, By Fiber
13.6. Asia Pacific Distributed Temperature Sensing (DTS) Forecast, By Fiber
13.6.1. Single-Mode
13.6.2. Multi-Mode
13.7. Asia Pacific Distributed Temperature Sensing (DTS) Value Share Analysis, By Application
13.8. Asia Pacific Distributed Temperature Sensing (DTS) Forecast, By Application
13.8.1. Oil & Gas
13.8.2. Power Cable Monitoring
13.8.3. Fire Detection
13.8.4. Process & Pipeline Monitoring
13.9. Asia Pacific Distributed Temperature Sensing (DTS) Value Share Analysis, by Country
13.10. Asia Pacific Distributed Temperature Sensing (DTS) Forecast, by Country
13.10.1. China
13.10.2. India
13.10.3. Japan
13.10.4. ASEAN
13.10.5. Rest of Asia Pacific
13.11. Asia Pacific Distributed Temperature Sensing (DTS) Analysis, by Country
13.12. China Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
13.12.1. Optical time domain reflectometry (OTDR)
13.12.2. Optical frequency domain reflectometry (OFDR)
13.13. China Distributed Temperature Sensing (DTS) Forecast, By Fiber
13.13.1. Single-Mode
13.13.2. Multi-Mode
13.14. China Distributed Temperature Sensing (DTS) Forecast, By Application
13.14.1. Oil & Gas
13.14.2. Power Cable Monitoring
13.14.3. Fire Detection
13.14.4. Process & Pipeline Monitoring
13.15. India Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
13.15.1. Optical time domain reflectometry (OTDR)
13.15.2. Optical frequency domain reflectometry (OFDR)
13.16. India Distributed Temperature Sensing (DTS) Forecast, By Fiber
13.16.1. Single-Mode
13.16.2. Multi-Mode
13.17. India Distributed Temperature Sensing (DTS) Forecast, By Application
13.17.1. Oil & Gas
13.17.2. Power Cable Monitoring
13.17.3. Fire Detection
13.17.4. Process & Pipeline Monitoring
13.18. Japan Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
13.18.1. Optical time domain reflectometry (OTDR)
13.18.2. Optical frequency domain reflectometry (OFDR)
13.19. Japan Distributed Temperature Sensing (DTS) Forecast, By Fiber
13.19.1. Single-Mode
13.19.2. Multi-Mode
13.20. Japan Distributed Temperature Sensing (DTS) Forecast, By Application
13.20.1. Oil & Gas
13.20.2. Power Cable Monitoring
13.20.3. Fire Detection
13.20.4. Process & Pipeline Monitoring
13.21. ASEAN Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
13.21.1. Optical time domain reflectometry (OTDR)
13.21.2. Optical frequency domain reflectometry (OFDR)
13.22. ASEAN Distributed Temperature Sensing (DTS) Forecast, By Fiber
13.22.1. Single-Mode
13.22.2. Multi-Mode
13.23. ASEAN Distributed Temperature Sensing (DTS) Forecast, By Application
13.23.1. Oil & Gas
13.23.2. Power Cable Monitoring
13.23.3. Fire Detection
13.23.4. Process & Pipeline Monitoring
13.24. Rest of Asia Pacific Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
13.24.1. Optical time domain reflectometry (OTDR)
13.24.2. Optical frequency domain reflectometry (OFDR)
13.25. Rest of Asia Pacific Distributed Temperature Sensing (DTS) Forecast, By Fiber
13.25.1. Single-Mode
13.25.2. Multi-Mode
13.26. Rest of Asia Pacific Distributed Temperature Sensing (DTS) Forecast, By Application
13.26.1. Oil & Gas
13.26.2. Power Cable Monitoring
13.26.3. Fire Detection
13.26.4. Process & Pipeline Monitoring
13.27. Asia Pacific Distributed Temperature Sensing (DTS) Attractiveness Analysis
13.27.1. By Operating Principle
13.27.2. By Fiber
13.27.3. By Application
13.28. PEST Analysis
13.29. Key Trends
13.30. Key Developments

14. Middle East & Africa Distributed Temperature Sensing (DTS) Analysis
14.1. Key Findings
14.2. Middle East & Africa Distributed Temperature Sensing (DTS) Overview
14.3. Middle East & Africa Distributed Temperature Sensing (DTS) Value Share Analysis, By Operating Principle
14.4. Middle East & Africa Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
14.4.1. Optical time domain reflectometry (OTDR)
14.4.2. Optical frequency domain reflectometry (OFDR)
14.5. Middle East & Africa Distributed Temperature Sensing (DTS) Value Share Analysis, By Fiber
14.6. Middle East & Africa Distributed Temperature Sensing (DTS) Forecast, By Fiber
14.6.1. Single-Mode
14.6.2. Multi-Mode
14.7. Middle East & Africa Distributed Temperature Sensing (DTS) Value Share Analysis, By Application
14.8. Middle East & Africa Distributed Temperature Sensing (DTS) Forecast, By Application
14.8.1. Oil & Gas
14.8.2. Power Cable Monitoring
14.8.3. Fire Detection
14.8.4. Process & Pipeline Monitoring
14.9. Middle East & Africa Distributed Temperature Sensing (DTS) Value Share Analysis, by Country
14.10. Middle East & Africa Distributed Temperature Sensing (DTS) Forecast, by Country
14.10.1. GCC
14.10.2. South Africa
14.10.3. Rest of Middle East & Africa
14.11. Middle East & Africa Distributed Temperature Sensing (DTS) Analysis, by Country
14.12. GCC Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
14.12.1. Optical time domain reflectometry (OTDR)
14.12.2. Optical frequency domain reflectometry (OFDR)
14.13. GCC Distributed Temperature Sensing (DTS) Forecast, By Fiber
14.13.1. Single-Mode
14.13.2. Multi-Mode
14.14. GCC Distributed Temperature Sensing (DTS) Forecast, By Application
14.14.1. Oil & Gas
14.14.2. Power Cable Monitoring
14.14.3. Fire Detection
14.14.4. Process & Pipeline Monitoring
14.15. South Africa Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
14.15.1. Optical time domain reflectometry (OTDR)
14.15.2. Optical frequency domain reflectometry (OFDR)
14.16. South Africa Distributed Temperature Sensing (DTS) Forecast, By Fiber
14.16.1. Single-Mode
14.16.2. Multi-Mode
14.17. South Africa Distributed Temperature Sensing (DTS) Forecast, By Application
14.17.1. Oil & Gas
14.17.2. Power Cable Monitoring
14.17.3. Fire Detection
14.17.4. Process & Pipeline Monitoring
14.18. Rest of Middle East & Africa Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
14.18.1. Optical time domain reflectometry (OTDR)
14.18.2. Optical frequency domain reflectometry (OFDR)
14.19. Rest of Middle East & Africa Distributed Temperature Sensing (DTS) Forecast, By Fiber
14.19.1. Single-Mode
14.19.2. Multi-Mode
14.20. Rest of Middle East & Africa Distributed Temperature Sensing (DTS) Forecast, By Application
14.20.1. Oil & Gas
14.20.2. Power Cable Monitoring
14.20.3. Fire Detection
14.20.4. Process & Pipeline Monitoring
14.21. Middle East & Africa Distributed Temperature Sensing (DTS) Attractiveness Analysis
14.21.1. By Operating Principle
14.21.2. By Fiber
14.21.3. By Application
14.22. PEST Analysis
14.23. Key Trends
14.24. Key Developments

15. South America Distributed Temperature Sensing (DTS) Analysis
15.1. Key Findings
15.2. South America Distributed Temperature Sensing (DTS) Overview
15.3. South America Distributed Temperature Sensing (DTS) Value Share Analysis, By Operating Principle
15.4. South America Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
15.4.1. Optical time domain reflectometry (OTDR)
15.4.2. Optical frequency domain reflectometry (OFDR)
15.5. South America Distributed Temperature Sensing (DTS) Value Share Analysis, By Fiber
15.6. South America Distributed Temperature Sensing (DTS) Forecast, By Fiber
15.6.1. Single-Mode
15.6.2. Multi-Mode
15.7. South America Distributed Temperature Sensing (DTS) Value Share Analysis, By Application
15.8. South America Distributed Temperature Sensing (DTS) Forecast, By Application
15.8.1. Oil & Gas
15.8.2. Power Cable Monitoring
15.8.3. Fire Detection
15.8.4. Process & Pipeline Monitoring
15.9. South America Distributed Temperature Sensing (DTS) Value Share Analysis, by Country
15.10. South America Distributed Temperature Sensing (DTS) Forecast, by Country
15.10.1. Brazil
15.10.2. Mexico
15.10.3. Rest of South America
15.11. South America Distributed Temperature Sensing (DTS) Analysis, by Country
15.12. Brazil Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
15.12.1. Optical time domain reflectometry (OTDR)
15.12.2. Optical frequency domain reflectometry (OFDR)
15.13. Brazil Distributed Temperature Sensing (DTS) Forecast, By Fiber
15.13.1. Single-Mode
15.13.2. Multi-Mode
15.14. Brazil Distributed Temperature Sensing (DTS) Forecast, By Application
15.14.1. Oil & Gas
15.14.2. Power Cable Monitoring
15.14.3. Fire Detection
15.14.4. Process & Pipeline Monitoring
15.15. Mexico Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
15.15.1. Optical time domain reflectometry (OTDR)
15.15.2. Optical frequency domain reflectometry (OFDR)
15.16. Mexico Distributed Temperature Sensing (DTS) Forecast, By Fiber
15.16.1. Single-Mode
15.16.2. Multi-Mode
15.17. Mexico Distributed Temperature Sensing (DTS) Forecast, By Application
15.17.1. Oil & Gas
15.17.2. Power Cable Monitoring
15.17.3. Fire Detection
15.17.4. Process & Pipeline Monitoring
15.18. Rest of South America Distributed Temperature Sensing (DTS) Forecast, By Operating Principle
15.18.1. Optical time domain reflectometry (OTDR)
15.18.2. Optical frequency domain reflectometry (OFDR)
15.19. Rest of South America Distributed Temperature Sensing (DTS) Forecast, By Fiber
15.19.1. Single-Mode
15.19.2. Multi-Mode
15.20. Rest of South America Distributed Temperature Sensing (DTS) Forecast, By Application
15.20.1. Oil & Gas
15.20.2. Power Cable Monitoring
15.20.3. Fire Detection
15.20.4. Process & Pipeline Monitoring
15.21. South America Distributed Temperature Sensing (DTS) Attractiveness Analysis
15.21.1. By Operating Principle
15.21.2. By Fiber
15.21.3. By Application
15.22. PEST Analysis
15.23. Key Trends
15.24. Key Developments

16. Company Profiles
16.1. Market Share Analysis, by Company
16.2. Competition Matrix
16.2.1. Competitive Benchmarking of key players by price, presence, market share, Verticals and R&D investment
16.2.2. New Product Launches and Product Enhancements
16.2.3. Market Consolidation
16.2.3.1. M&A by Regions, Investment and Verticals
16.2.3.2. M&A Key Players, Forward Integration and Backward
Integration
16.3. Company Profiles: Key Players
16.3.1. STMicroelectronics N.V.
16.3.1.1. Company Overview
16.3.1.2. Financial Overview
16.3.1.3. Product Portfolio
16.3.1.4. Business Strategy
16.3.1.5. Recent Developments
16.3.1.6. Manufacturing Footprint
16.3.2. NXP semiconductors N.V.
16.3.3. Infineon Technologies AG
16.3.4. Qualcomm Technologies, Inc.
16.3.5. Atmel Corporation
16.3.6. Texas instruments Inc.
16.3.7. Robert Bosch GmbH
16.3.8. Johnson controls international PLC
16.3.9. Sony Corporation
16.3.10. Honeywell International, Inc.
16.3.11. AP Sensing
16.3.12. LIOS Technology
16.3.13. Sensornet
16.3.14. Sumitomo Electric
16.3.15. Weatherford International
16.3.16. Yokogawa.

17. Primary Key Insights
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