查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1785217

人工智慧氣體分析儀市場－全球產業規模、佔有率、趨勢、機會和預測（按應用、按技術、按最終用戶、按地區、按競爭細分，2020-2030 年）

AI Based Gas Analyzer Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented, By Application, By Technology, By End-User, By Region, By Competition, 2020-2030F
出版日期: | 出版商: TechSci Research | 英文 180 Pages | 商品交期: 2-3個工作天內

價格

We offer 8 hour analyst time for an additional research. Please contact us for the details.

簡介目錄

2024 年全球基於人工智慧的氣體分析儀市值為 30.9 億美元，預計到 2030 年將達到 49.6 億美元，複合年成長率為 8.04%。基於人工智慧的氣體分析儀市場是指將人工智慧 (AI) 技術與氣體檢測和分析系統結合的分析儀器領域，以提高各行業氣體監測過程的精度、效率和反應能力。這些先進的分析儀旨在使用人工智慧驅動的演算法、機器學習模型和資料分析來即時識別、量化和監測氣體成分，以解釋複雜的感測器資料、預測異常並最佳化系統性能。與傳統的氣體分析儀不同，基於人工智慧的系統提供自適應學習能力，使它們能夠自我校準、減少誤報並隨著時間的推移提高檢測準確性。

市場概覽
預測期 2026-2030
2024年市場規模 30.9億美元
2030年市場規模 49.6億美元
2025-2030 年複合年成長率 8.04%
成長最快的領域 工業安全
最大的市場 北美洲

它們廣泛應用於石油天然氣、化學加工、環境監測、發電、製藥、食品飲料等行業，在這些行業中，準確的氣體測量對於安全、合規和營運效率至關重要。人工智慧整合透過分析趨勢和及早發現設備損耗來促進預測性維護，從而最大限度地減少停機時間和營運風險。這些系統還支援遠端監控和控制，可透過基於雲端的平台和物聯網連接進行即時決策。隨著排放控制和工作場所安全相關的監管壓力不斷增加，基於人工智慧的氣體分析儀正成為合規監測和環境報告的重要工具。此外，工業流程日益複雜以及對高通量即時分析的需求，促使各組織從傳統的氣體監控系統過渡到智慧自動化的替代方案。

關鍵市場促進因素

工業領域對即時和預測排放監測的需求不斷成長

主要市場挑戰

數據整合的複雜性和基礎設施限制

主要市場趨勢

整合邊緣人工智慧，實現工業環境中的即時氣體分析

目錄

第 1 章：產品概述

第2章：研究方法

第3章：執行摘要

第4章：顧客之聲

第5章：全球基於人工智慧的氣體分析儀市場展望

  • 市場規模和預測
    • 按價值
  • 市場佔有率和預測
    • 依應用（環境監測、工業安全、排放測試、製程控制）
    • 依技術（紅外光譜、氣相層析、電化學感測器、光電離檢測）
    • 依最終用戶（化工、石油和天然氣、發電、汽車）
    • 按地區
  • 按公司分類（2024）
  • 市場地圖

第6章：北美基於人工智慧的氣體分析儀市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲基於人工智慧的氣體分析儀市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 歐洲：國家分析
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙

第8章：亞太地區人工智慧氣體分析儀市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：南美洲基於人工智慧的氣體分析儀市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 南美洲：國家分析
    • 巴西
    • 阿根廷
    • 哥倫比亞

第10章：中東和非洲基於人工智慧的氣體分析儀市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 中東和非洲：國家分析
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 科威特
    • 土耳其

第 11 章：市場動態

  • 驅動程式
  • 挑戰

第 12 章：市場趨勢與發展

  • 合併與收購（如有）
  • 產品發布（如有）
  • 最新動態

第13章：公司簡介

  • ABB Ltd.
  • Siemens AG
  • Emerson Electric Co.
  • Thermo Fisher Scientific Inc.
  • Honeywell International Inc.
  • General Electric Company (GE Measurement & Control)
  • Teledyne Technologies Incorporated
  • Servomex Group Ltd. (a Spectris company)
  • Nova Analytical Systems, Inc.
  • Horiba, Ltd.

第 14 章：策略建議

第15章調查會社について,免責事項

簡介目錄
Product Code: 30299

GlobalAI Based Gas Analyzer Market was valued at USD 3.09 Billion in 2024 and is expected to reach USD 4.96 Billion by 2030 with a CAGR of 8.04%. The AI-Based Gas Analyzer Market refers to the segment of analytical instrumentation that integrates artificial intelligence (AI) technologies with gas detection and analysis systems to enhance the precision, efficiency, and responsiveness of gas monitoring processes across various industries. These advanced analyzers are designed to identify, quantify, and monitor gas compositions in real-time using AI-driven algorithms, machine learning models, and data analytics to interpret complex sensor data, predict anomalies, and optimize system performance. Unlike conventional gas analyzers, AI-based systems offer adaptive learning capabilities, enabling them to self-calibrate, reduce false positives, and improve detection accuracy over time.

Market Overview
Forecast Period2026-2030
Market Size 2024USD 3.09 Billion
Market Size 2030USD 4.96 Billion
CAGR 2025-20308.04%
Fastest Growing SegmentIndustrial Safety
Largest MarketNorth America

They are widely used in industries such as oil & gas, chemical processing, environmental monitoring, power generation, pharmaceuticals, and food & beverage, where accurate gas measurement is critical for safety, compliance, and operational efficiency. AI integration facilitates predictive maintenance by analyzing trends and detecting equipment deterioration early, thereby minimizing downtime and operational risks. These systems also support remote monitoring and control, enabling real-time decision-making through cloud-based platforms and IoT connectivity. With increasing regulatory pressures related to emissions control and workplace safety, AI-based gas analyzers are becoming essential tools for compliance monitoring and environmental reporting. Moreover, the growing complexity of industrial processes and the need for high-throughput, real-time analytics are encouraging organizations to transition from legacy gas monitoring systems to intelligent, automated alternatives.

Key Market Drivers

Growing Demand for Real-Time and Predictive Emission Monitoring in Industrial Sectors

The increasing demand for real-time and predictive emission monitoring in various industrial sectors is a major driver of the AI-based gas analyzer market. Industries such as oil & gas, petrochemicals, power generation, and manufacturing are under mounting regulatory pressure to reduce air pollutants and greenhouse gas emissions. Conventional gas analyzers, while effective, often fall short in providing instantaneous, highly accurate data interpretation and long-term predictive analytics. AI-based gas analyzers bridge this gap by utilizing machine learning algorithms to analyze vast volumes of sensor data in real time, identifying trends and anomalies that traditional systems might overlook. These systems can not only measure gas concentrations with precision but also predict potential equipment failures or process inefficiencies that could lead to increased emissions.

This capability enables industries to implement proactive maintenance and make data-driven operational decisions that improve efficiency and reduce environmental impact. Additionally, AI-based systems can adapt to changing environmental and operational conditions, continuously learning from new data inputs, thus improving over time and reducing the need for human intervention. The implementation of digital twins and edge AI in gas monitoring allows facilities to simulate and forecast emissions under various operating scenarios, enhancing regulatory compliance and sustainability initiatives. Furthermore, the integration of these AI-enabled gas analyzers with industrial control systems and cloud-based platforms supports centralized data visualization and remote diagnostics.

As governments globally strengthen environmental regulations and increase penalties for non-compliance, industries are turning to intelligent, automated solutions to monitor and control emissions more effectively. The need for precise, continuous, and actionable gas monitoring data is pushing organizations to adopt AI-based gas analyzers as a standard part of their emission control infrastructure, thus driving market expansion. Over 70% of global industrial facilities are expected to adopt real-time emission monitoring systems by 2030. The market for predictive emission monitoring systems (PEMS) is projected to grow at a CAGR of over 10% globally through 2030. More than 50% of oil & gas and chemical plants worldwide are integrating AI-driven predictive monitoring tools to reduce compliance risks. Industrial emissions account for over 20 billion metric tons of CO2 annually, driving increased demand for continuous monitoring solutions. Governments in over 80 countries are tightening emissions regulations, pushing industries toward advanced monitoring technologies.

Key Market Challenges

Data Integration Complexity and Infrastructure Limitations

One of the primary challenges facing the AI-based gas analyzer market is the complexity of integrating AI algorithms with existing gas sensing infrastructure, particularly in legacy industrial systems. Many facilities still rely on conventional gas detection and analysis hardware that lacks the interoperability and digital architecture needed to support AI integration. Upgrading these systems to be compatible with AI-based analyzers often involves significant investment in new sensors, communication networks, and cloud-based platforms, which can be cost-prohibitive for small and medium-sized enterprises. Additionally, AI-based gas analyzers depend heavily on high-quality, real-time data to perform accurate gas composition analysis, pattern recognition, and predictive diagnostics.

However, inconsistent data inputs due to sensor calibration issues, environmental noise, and signal degradation can severely impact the performance of machine learning models. Ensuring the reliability, accuracy, and consistency of input data across various gas types and operating conditions requires robust infrastructure that is not universally available, especially in remote or harsh industrial environments. Moreover, many companies lack the in-house technical expertise needed to manage AI systems, analyze outputs, or integrate insights into operational decision-making. This leads to underutilization of AI capabilities and poor return on investment. Another concern is the lack of standardized communication protocols and data formats, which complicates the aggregation and interpretation of data from multi-vendor gas sensing systems.

As AI platforms require vast and diverse datasets for training and validation, the siloed nature of industrial data becomes a significant bottleneck. In regions with limited digital maturity, such as parts of Southeast Asia, Latin America, and Africa, the market faces additional hurdles in terms of internet connectivity, data storage capacity, and access to cloud computing infrastructure. Furthermore, integrating AI tools into regulated environments like pharmaceuticals, petrochemicals, or food safety requires strict validation procedures and compliance with data integrity regulations, adding further cost and complexity. This entire landscape of integration difficulties, data reliability concerns, and technical skill gaps poses a considerable challenge to the widespread adoption of AI-based gas analyzers, particularly in industries with tight operational budgets and regulatory constraints.

Key Market Trends

Integration of Edge AI for Real-Time Gas Analysis in Industrial Environments

A key trend shaping the AI-Based Gas Analyzer Market is the rapid integration of edge AI computing to enable real-time, on-site gas analysis in industrial environments. Traditional gas analyzers often rely on cloud-based data processing or require manual interpretation of sensor outputs, which can result in delayed response times and limited situational awareness. Edge AI revolutionizes this process by embedding machine learning models directly into the analyzer hardware, allowing instantaneous analysis of gas compositions, concentrations, and anomalies at the source. This is particularly valuable in hazardous or remote industrial zones such as oil refineries, chemical plants, mining operations, and power stations, where timely gas detection is critical for safety and operational efficiency.

Edge AI-equipped analyzers are capable of continuously learning from operational patterns, adjusting to environmental conditions, and reducing false positives by intelligently distinguishing between normal and abnormal gas readings. These systems also support multi-gas detection and pattern recognition for complex mixtures, enabling better predictive maintenance and early warning systems. Additionally, edge-based systems reduce reliance on internet connectivity, offering a reliable solution for sites with limited or unstable network access. This decentralized approach not only minimizes latency but also reduces bandwidth costs and enhances data privacy and security.

Manufacturers are responding to this trend by developing compact, ruggedized, and AI-enabled gas analyzers with user-friendly interfaces that require minimal human intervention. This movement toward real-time, intelligent gas sensing at the edge is transforming how industrial facilities manage air quality, detect emissions, and comply with safety regulations. As industrial automation advances, the convergence of AI and edge computing will continue to redefine expectations around speed, accuracy, and scalability in gas analysis applications.

Key Market Players

  • ABB Ltd.
  • Siemens AG
  • Emerson Electric Co.
  • Thermo Fisher Scientific Inc.
  • Honeywell International Inc.
  • General Electric Company (GE Measurement & Control)
  • Teledyne Technologies Incorporated
  • Servomex Group Ltd. (a Spectris company)
  • Nova Analytical Systems, Inc.
  • Horiba, Ltd.

Report Scope:

In this report, the Global AI Based Gas Analyzer Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

AI Based Gas Analyzer Market, By Application:

  • Environmental Monitoring
  • Industrial Safety
  • Emission Testing
  • Process Control

AI Based Gas Analyzer Market, By Technology:

  • Infrared Spectroscopy
  • Gas Chromatography
  • Electrochemical Sensors
  • Photoionization Detection

AI Based Gas Analyzer Market, By End-User:

  • Chemical Industry
  • Oil & Gas
  • Power Generation
  • Automotive

AI Based Gas Analyzer Market, By Region:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE
    • Kuwait
    • Turkey

Competitive Landscape

Company Profiles: Detailed analysis of the major companies presents in the Global AI Based Gas Analyzer Market.

Available Customizations:

Global AI Based Gas Analyzer Market report with the given Market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional Market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
  • 1.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Formulation of the Scope
  • 2.4. Assumptions and Limitations
  • 2.5. Sources of Research
    • 2.5.1. Secondary Research
    • 2.5.2. Primary Research
  • 2.6. Approach for the Market Study
    • 2.6.1. The Bottom-Up Approach
    • 2.6.2. The Top-Down Approach
  • 2.7. Methodology Followed for Calculation of Market Size & Market Shares
  • 2.8. Forecasting Methodology
    • 2.8.1. Data Triangulation & Validation

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, and Trends

4. Voice of Customer

5. Global AI Based Gas Analyzer Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Application (Environmental Monitoring, Industrial Safety, Emission Testing, Process Control)
    • 5.2.2. By Technology (Infrared Spectroscopy, Gas Chromatography, Electrochemical Sensors, Photoionization Detection)
    • 5.2.3. By End-User (Chemical Industry, Oil & Gas, Power Generation, Automotive)
    • 5.2.4. By Region
  • 5.3. By Company (2024)
  • 5.4. Market Map

6. North America AI Based Gas Analyzer Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Application
    • 6.2.2. By Technology
    • 6.2.3. By End-User
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States AI Based Gas Analyzer Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Application
        • 6.3.1.2.2. By Technology
        • 6.3.1.2.3. By End-User
    • 6.3.2. Canada AI Based Gas Analyzer Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Application
        • 6.3.2.2.2. By Technology
        • 6.3.2.2.3. By End-User
    • 6.3.3. Mexico AI Based Gas Analyzer Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Application
        • 6.3.3.2.2. By Technology
        • 6.3.3.2.3. By End-User

7. Europe AI Based Gas Analyzer Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Application
    • 7.2.2. By Technology
    • 7.2.3. By End-User
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany AI Based Gas Analyzer Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Application
        • 7.3.1.2.2. By Technology
        • 7.3.1.2.3. By End-User
    • 7.3.2. United Kingdom AI Based Gas Analyzer Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Application
        • 7.3.2.2.2. By Technology
        • 7.3.2.2.3. By End-User
    • 7.3.3. Italy AI Based Gas Analyzer Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Application
        • 7.3.3.2.2. By Technology
        • 7.3.3.2.3. By End-User
    • 7.3.4. France AI Based Gas Analyzer Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Application
        • 7.3.4.2.2. By Technology
        • 7.3.4.2.3. By End-User
    • 7.3.5. Spain AI Based Gas Analyzer Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Application
        • 7.3.5.2.2. By Technology
        • 7.3.5.2.3. By End-User

8. Asia-Pacific AI Based Gas Analyzer Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Application
    • 8.2.2. By Technology
    • 8.2.3. By End-User
    • 8.2.4. By Country
  • 8.3. Asia-Pacific: Country Analysis
    • 8.3.1. China AI Based Gas Analyzer Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Application
        • 8.3.1.2.2. By Technology
        • 8.3.1.2.3. By End-User
    • 8.3.2. India AI Based Gas Analyzer Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Application
        • 8.3.2.2.2. By Technology
        • 8.3.2.2.3. By End-User
    • 8.3.3. Japan AI Based Gas Analyzer Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Application
        • 8.3.3.2.2. By Technology
        • 8.3.3.2.3. By End-User
    • 8.3.4. South Korea AI Based Gas Analyzer Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Application
        • 8.3.4.2.2. By Technology
        • 8.3.4.2.3. By End-User
    • 8.3.5. Australia AI Based Gas Analyzer Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Application
        • 8.3.5.2.2. By Technology
        • 8.3.5.2.3. By End-User

9. South America AI Based Gas Analyzer Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Application
    • 9.2.2. By Technology
    • 9.2.3. By End-User
    • 9.2.4. By Country
  • 9.3. South America: Country Analysis
    • 9.3.1. Brazil AI Based Gas Analyzer Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Application
        • 9.3.1.2.2. By Technology
        • 9.3.1.2.3. By End-User
    • 9.3.2. Argentina AI Based Gas Analyzer Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Application
        • 9.3.2.2.2. By Technology
        • 9.3.2.2.3. By End-User
    • 9.3.3. Colombia AI Based Gas Analyzer Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Application
        • 9.3.3.2.2. By Technology
        • 9.3.3.2.3. By End-User

10. Middle East and Africa AI Based Gas Analyzer Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Application
    • 10.2.2. By Technology
    • 10.2.3. By End-User
    • 10.2.4. By Country
  • 10.3. Middle East and Africa: Country Analysis
    • 10.3.1. South Africa AI Based Gas Analyzer Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Application
        • 10.3.1.2.2. By Technology
        • 10.3.1.2.3. By End-User
    • 10.3.2. Saudi Arabia AI Based Gas Analyzer Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Application
        • 10.3.2.2.2. By Technology
        • 10.3.2.2.3. By End-User
    • 10.3.3. UAE AI Based Gas Analyzer Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Application
        • 10.3.3.2.2. By Technology
        • 10.3.3.2.3. By End-User
    • 10.3.4. Kuwait AI Based Gas Analyzer Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Application
        • 10.3.4.2.2. By Technology
        • 10.3.4.2.3. By End-User
    • 10.3.5. Turkey AI Based Gas Analyzer Market Outlook
      • 10.3.5.1. Market Size & Forecast
        • 10.3.5.1.1. By Value
      • 10.3.5.2. Market Share & Forecast
        • 10.3.5.2.1. By Application
        • 10.3.5.2.2. By Technology
        • 10.3.5.2.3. By End-User

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Company Profiles

  • 13.1. ABB Ltd.
    • 13.1.1. Business Overview
    • 13.1.2. Key Revenue and Financials
    • 13.1.3. Recent Developments
    • 13.1.4. Key Personnel/Key Contact Person
    • 13.1.5. Key Product/Services Offered
  • 13.2. Siemens AG
  • 13.3. Emerson Electric Co.
  • 13.4. Thermo Fisher Scientific Inc.
  • 13.5. Honeywell International Inc.
  • 13.6. General Electric Company (GE Measurement & Control)
  • 13.7. Teledyne Technologies Incorporated
  • 13.8. Servomex Group Ltd. (a Spectris company)
  • 13.9. Nova Analytical Systems, Inc.
  • 13.10. Horiba, Ltd.

14. Strategic Recommendations

15. About Us & Disclaimer