Oil And Gas Automation Market
By Component;
Hardware, Software and ServicesBy Process;
Upstream, Midstream and DownstreamBy Technology;
Sensors & Transmitters, Distributed Control Systems (DCS), Programmable Logic Controllers (PLC), Supervisory Control & Data Acquisition (SCADA), Safety Instrumented Systems (SIS) and OtherBy Application;
Drilling & Completion, Production & Well Optimization, Pipeline & Transportation, Refining & Petrochemicals and LNG Terminals & StorageBy Geography;
North America, Europe, Asia Pacific, Middle East & Africa and Latin America - Report Timeline (2021 - 2031).Oil And Gas Automation Market Overview
Oil And Gas Automation Market(USD Million)
Oil And Gas Automation Market was valued at USD 22,894.79 million in the year 2024. The size of this market is expected to increase to USD 36,285.70 million by the year 2031, while growing at a Compounded Annual Growth Rate (CAGR) of 6.8%.
Oil And Gas Automation Market
*Market size in USD million
CAGR 6.8 %
| Study Period | 2025 - 2031 |
|---|---|
| Base Year | 2024 |
| CAGR (%) | 6.8 % |
| Market Size (2024) | USD 22,894.79 Million |
| Market Size (2031) | USD 36,285.70 Million |
| Market Concentration | Medium |
| Report Pages | 363 |
Major Players
- Emerson
- General Electric (GE)
- Petrofac
- Mitsubishi Electric
- Schneider Electric
- Siemens
- Yokogawa
- Aker Solutions
- Honeywell
- ABB
- Rockwell Automation
- Invensys
Market Concentration
Consolidated - Market dominated by 1 - 5 major players
Oil And Gas Automation Market
Fragmented - Highly competitive market without dominant players
The Oil and Gas Automation Market is expanding as companies prioritize digital technologies to optimize efficiency and performance. Automation enables seamless data exchange, predictive control, and improved asset utilization. Over 45% of organizations have already embraced automation, resulting in reduced downtime, enhanced productivity, and smarter operational strategies across the industry.
Key Growth Drivers
Rising demand for process optimization and cost efficiency is accelerating adoption. Around 50% of firms rely on automation to minimize manual tasks and strengthen performance accuracy. Cutting-edge tools like IoT sensors, robotics, and SCADA systems are streamlining workflows, reducing human intervention, and boosting operational reliability across upstream, midstream, and downstream processes.
Technological Advancements
Rapid developments in AI, machine learning, and cloud computing are shaping the next phase of automation in oil and gas. Nearly 55% of modern installations now integrate AI-powered analytics, digital twins, and predictive models. These technologies enable real-time decision-making, proactive equipment maintenance, and improved productivity across exploration and refining activities.
Safety and Reliability Benefits
Automation is increasingly vital in strengthening workforce safety and reliability standards. More than 40% of companies use automated safety systems for risk detection and critical asset monitoring. With predictive alerts, automated shutdowns, and real-time hazard tracking, automation ensures safer working environments and reduces exposure to operational risks.
Future Outlook
The Oil and Gas Automation Market is set for significant growth, with nearly 60% of industry leaders planning to increase investments. The shift toward smart technologies and advanced digitalization will drive innovation, efficiency, and sustainability. Continuous R&D and partnerships will expand opportunities, making automation a cornerstone of the oil and gas industry’s future.
Oil And Gas Automation Market Key Takeaways
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Operators deploy edge analytics, SCADA upgrades, and digital twins to lift uptime and reduce OPEX across upstream to midstream assets.
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Safety cases favor remote operations and autonomous wellpads, cutting exposure hours and truck rolls.
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Integrated production optimization blends ML with physics models for choke control, ESP health, and flare minimization.
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Brownfield sites adopt retrofit sensors and secure OT networks to avoid wholesale rip-and-replace.
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Vendors bundle managed services and uptime guarantees, shifting capex to opex.
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Cyber frameworks ( IEC 62443, zero-trust) protect mixed vendor environments from lateral movement attacks.
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Low-carbon ops integrate methane monitoring and energy KPIs into control loops for ESG reporting.
Oil & Gas Automation Market Recent Developments
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In December 2024, ADNOC Drilling established a joint venture named Turnwell Industries in collaboration with SLB and Patterson-UTI. The partnership focuses on developing unconventional energy resources through the use of advanced extraction technologies, strengthening ADNOC’s position in innovative energy exploration.
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In January 2025, Technavio reported a notable surge in investments and partnerships accelerating digital transformation within the oil and gas industry. The analysis projected a market growth of USD 56.4 billion between 2025 and 2029, reflecting strong momentum toward technology-driven energy operations.
Oil And Gas Automation Market Segment Analysis
In this report, the Oil And Gas Automation Market has been segmented by Component, Process, Technology, Application and Geography.
Oil And Gas Automation Market, Segmentation by Component
The component landscape reflects how operators assemble end-to-end automation stacks to improve operational efficiency, reduce non-productive time, and standardize cybersecure data flows across assets. Buyers evaluate total cost of ownership, lifecycle support, and interoperability with brownfield infrastructure, prioritizing modular upgrades that de-risk migrations. Partnerships between vendors and system integrators continue to accelerate time-to-value, while rigorous compliance and safety requirements influence procurement cycles and service contracts.
Hardware
Physical layers underpin field connectivity and real-time control, spanning ruggedized controllers, I/O, gateways, and networking equipment designed for harsh environments. Demand concentrates on high availability architectures, intrinsically safe designs, and redundancy to sustain uptime in remote assets. Hardware refreshes often coincide with digitalization programs, enabling higher sampling rates, edge analytics, and reliable backhaul to enterprise platforms without disrupting existing processes.
Software
Software orchestrates data integration, visualization, and advanced analytics for use cases from production optimization to predictive maintenance. Buyers emphasize open standards, scalability, and role-based access to reduce vendor lock-in and streamline multi-site rollouts. Increasingly, containerized deployments and APIs allow faster feature delivery, while embedded AI/ML models translate sensor signals into prescriptive actions aligned with economic and safety objectives.
Services
Services bridge capability gaps with assessment, design, commissioning, and managed operations, ensuring solutions meet stringent HSE and regulatory thresholds. Long-term service agreements cover monitoring, patching, and continuous improvement to sustain ROI under shifting production profiles. System integrators, OEMs, and niche consultancies collaborate to deliver outcomes such as reduced flaring, tighter emissions reporting, and faster recovery from trip events.
Oil And Gas Automation Market, Segmentation by Process
Process segmentation aligns automation investments with the hydrocarbon value chain, balancing CAPEX and OPEX priorities across upstream, midstream, and downstream assets. Each process features distinct control philosophies, compliance regimes, and data latencies, shaping vendor selection and technology stacks. Integrated operations centers increasingly unify cross-process visibility, enabling coordinated decisions that protect margins amid commodity volatility.
Upstream
Exploration and production prioritize remote operations, high-frequency monitoring, and closed-loop control to improve well productivity and reduce intervention costs. Edge computing and autonomous workflows support artificial lift, gas lift optimization, and condition-based maintenance for rotating equipment. Robust communications and cybersecurity hardening are essential given widely dispersed assets and intermittent connectivity.
Midstream
Pipeline and terminal operators focus on throughput, leak detection, and regulatory compliance while managing geographically extensive networks. Centralized SCADA with high-reliability telemetry enables rapid incident response, while batch tracking and custody transfer accuracy drive revenue integrity. Automation supports predictive risk models that factor corrosion, third-party interference, and hydraulic transients to improve network resilience.
Downstream
Refining and petrochemical complexes demand advanced process control, energy management, and alarm rationalization to stabilize yields and minimize off-spec product. Integrated manufacturing execution links control rooms with quality labs and planning systems, enabling synchronized turnarounds and asset performance improvements. Migration paths emphasize hot-cutover strategies and rigorous functional safety governance.
Oil And Gas Automation Market, Segmentation by Technology
Technology choices determine control fidelity, scalability, and the depth of actionable insights. Operators blend mature control systems with emerging data layers to reduce downtime and standardize workflows. Procurement frameworks increasingly specify interoperability, defense-in-depth cybersecurity, and lifecycle support, ensuring that field data flows securely to enterprise decision environments.
Sensors & Transmitters
Field instrumentation captures pressure, temperature, flow, and composition data fundamental to process safety and optimization. New devices emphasize higher accuracy, diagnostics, and smart protocols for faster commissioning. Ruggedized designs and intrinsically safe certifications extend deployment options in hazardous zones while reducing maintenance truck rolls.
Distributed Control Systems (DCS)
DCS platforms coordinate complex, continuous processes with deterministic control and centralized engineering tools. Modern systems support advanced process control, template libraries, and virtualization to accelerate standardization across units. Lifecycle strategies prioritize phased migrations and operator effectiveness through unified HMIs and alarm management best practices.
Programmable Logic Controllers (PLC)
PLCs deliver fast, discrete control for package units, compressors, and skid-mounted equipment. Their modularity and ruggedness suit remote sites where environmental constraints and space limit options. Integration via industrial Ethernet and OPC UA streamlines data sharing with supervisory layers and analytical platforms.
Supervisory Control & Data Acquisition (SCADA)
SCADA systems enable remote telemetry, situational awareness, and command of distributed assets across large territories. Architectures emphasize redundancy, bandwidth optimization, and secure protocols to manage mixed communications. Role-based visualization supports faster decision cycles for operations, maintenance, and compliance teams.
Safety Instrumented Systems (SIS)
SIS provides the final protection layer against hazardous events through certified SIL functions and independent control paths. Implementations focus on proof-test intervals, risk reduction targets, and documentation traceability. Alignment with process hazard analyses and management of change ensures sustained safety integrity throughout the asset lifecycle.
Other
The “Other” category captures enabling technologies such as edge gateways, data historians, analytics platforms, and secure remote access solutions. These components enhance data governance, facilitate multi-vendor ecosystems, and support hybrid cloud patterns without compromising latency or safety boundaries. Investment here often dictates the pace of digital transformation across the enterprise.
Oil And Gas Automation Market, Segmentation by Application
Application-level priorities translate technology into measurable business outcomes, from stabilized production to reduced emissions and optimized logistics. Stakeholders evaluate payback periods, ease of deployment, and workforce enablement, favoring solutions that integrate seamlessly with existing control strategies and data lakes. Continuous improvement frameworks ensure gains persist across commodity cycles.
Drilling & Completion
Automation streamlines well construction with real-time parameter control, advisory systems, and automated sequences that reduce NPT. Closed-loop control supports consistent execution across rigs, while integrated HSE safeguards protect crews and equipment. Data-driven workflows enhance bit selection, trajectory control, and post-well learning.
Production & Well Optimization
Producers leverage surveillance, lift optimization, and water-management controls to maximize recovery and asset uptime. Analytics convert streaming data into recommendations that reduce deferment and stabilize flow regimes. Workflows align maintenance priorities with predicted failures to extend run life of critical equipment.
Pipeline & Transportation
Transport operations prioritize leak detection, pressure control, and batch management to safeguard people, environment, and revenue. Centralized command with event correlation accelerates response to anomalies while minimizing false alarms. Integration with scheduling systems and SCADA improves utilization and reduces bottlenecks.
Refining & Petrochemicals
Complex plants employ APC, online analyzers, and energy optimization to lift yields and lower unit costs. Automation ties planning, blending, and quality control into cohesive workflows that reduce variability and flare events. Continuous improvement programs reinforce operator effectiveness and adherence to alarm philosophies.
LNG Terminals & Storage
Terminals require precise cryogenic control, custody transfer accuracy, and tight tank farm safety management. Automation coordinates loading arms, valves, and boil-off gas systems under strict compliance regimes. Remote diagnostics and asset performance strategies maintain availability amid fluctuating throughput.
Oil And Gas Automation Market, Segmentation by Geography
Regional dynamics reflect distinct regulatory environments, energy policies, and maturity of infrastructure and local supply chains. Investment cycles track commodity trends but increasingly center on digitalization, emissions management, and workforce modernization. Vendors tailor go-to-market strategies with localized service hubs, certifications, and partnerships to meet region-specific standards and operating conditions.
Regions and Countries Analyzed in this Report
North America
Market activity emphasizes modernization of brownfield assets, stringent cybersecurity postures, and integration with corporate analytics platforms. Shale operations drive demand for remote operations and high-volume data handling, while regulatory requirements reinforce rigorous safety and emissions reporting. Vendor ecosystems benefit from strong system integrator networks and advanced workforce training programs.
Europe
European operators focus on energy efficiency, emissions abatement, and adherence to evolving standards, encouraging sophisticated control and monitoring upgrades. Brownfield complexity and stringent HSE regimes favor phased migrations with detailed validation. Collaboration across OEMs, EPCs, and digital partners supports resilient supply chains and lifecycle support models.
Asia Pacific
Diverse upstream portfolios and expanding refining & petrochemicals capacity fuel broad adoption of scalable automation. Operators value cost-effective solutions with strong local service, while national strategies promote digitalization and skills development. Large geography and climate variability elevate requirements for ruggedized hardware and reliable telemetry.
Middle East & Africa
National oil companies and large integrated assets prioritize mega-project standardization, functional safety, and high-availability control to maximize throughput. Brownfield upgrades and greenfield expansions both rely on proven DCS/PLC/SCADA stacks integrated with enterprise analytics. Harsh operating conditions and remote locations increase demand for intrinsically safe devices and robust maintenance frameworks.
Latin America
Market momentum aligns with policy reforms, licensing rounds, and incremental investments in midstream and downstream infrastructure. Operators seek modular upgrades that deliver quick ROI while building internal capabilities for advanced analytics. Partnerships with regional integrators and OEMs enable localized support, training, and compliance management.
Market Trends
This report provides an in depth analysis of various factors that impact the dynamics of Global Oil & Gas Automation Market. These factors include; Market Drivers, Restraints and Opportunities Analysis.
Drivers, Restraints and Opportunities Analysis
Drivers:
- Increasing Demand for Energy Efficiency and Operational Optimization
- Rising Adoption of Industrial IoT (IIoT) and AI-driven Automation
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Growing Focus on Safety and Risk Management in Oil & Gas Operations- The growing focus on safety and risk management in oil & gas operations is a key driver of the global oil & gas automation market. The oil & gas industry is inherently hazardous, with high risks of explosions, leaks, and equipment failures. As companies seek to minimize workplace accidents, environmental damage, and financial losses, automation technologies such as predictive maintenance, real-time monitoring, and safety automation systems are being widely adopted. These technologies help detect anomalies, prevent failures, and ensure compliance with strict safety regulations, driving the demand for automation solutions in the industry.
Stringent government regulations and industry standards also play a crucial role in boosting automation adoption. Regulatory bodies such as the Occupational Safety and Health Administration (OSHA), the Environmental Protection Agency (EPA), and the International Maritime Organization (IMO) have enforced strict safety and environmental guidelines for oil & gas companies. To comply with these regulations, companies are investing in automation tools like SCADA (Supervisory Control and Data Acquisition) systems, distributed control systems (DCS), and emergency shutdown systems (ESD). These solutions help in monitoring and controlling processes in real-time, reducing the risk of accidents and ensuring adherence to regulatory standards.
The financial impact of safety incidents is another major factor driving automation in oil & gas operations. Accidents such as oil spills, gas leaks, and equipment failures result in substantial financial losses due to operational downtime, legal liabilities, and reputational damage. By implementing automation technologies such as digital twin simulations, IoT-enabled sensors, and AI-based predictive analytics, companies can proactively address potential safety risks. This not only enhances operational efficiency but also reduces costs associated with safety incidents, making automation a valuable investment for oil & gas companies.
The growing adoption of Industrial Internet of Things (IIoT) and Artificial Intelligence (AI) is further strengthening safety measures in the sector. These technologies enable real-time data collection and predictive insights, allowing companies to identify hazards before they escalate. AI-driven automation solutions also enhance decision-making by providing actionable insights for risk assessment and mitigation. As the industry moves towards smart oilfields and digital transformation, automation technologies will continue to play a pivotal role in improving safety and risk management, thereby driving market growth.
Restraints:
- High Initial Investment and Integration Costs
- Cybersecurity Risks and Data Breach Concerns
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Technical Complexity and Skill Gap in Workforce- The oil & gas automation market faces significant challenges due to technical complexity, which arises from the integration of advanced automation technologies such as artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and digital twins. These technologies require seamless interoperability between legacy systems and modern automation solutions, which can be difficult due to variations in software architecture, data formats, and communication protocols. Moreover, implementing automation in offshore and onshore drilling operations involves sophisticated control systems, robotics, and real-time data analytics, which demand high precision and reliability. Any misalignment in these systems can lead to operational inefficiencies, safety hazards, and unexpected downtimes, limiting the widespread adoption of automation.
Another major restraint in the global oil & gas automation market is the skill gap in the workforce. The industry has long been reliant on traditional mechanical and manual operations, and transitioning to digital automation requires specialized skills in programming, data analytics, cybersecurity, and remote system monitoring. However, a shortage of qualified professionals with expertise in these areas is hindering the smooth adoption of automation solutions. The lack of trained personnel not only delays implementation but also increases the risk of operational errors, reducing the effectiveness of automated processes. Many oil & gas companies struggle to upskill their existing workforce while simultaneously managing their ongoing operations.
The aging workforce in the oil & gas industry exacerbates the skill gap. Many experienced professionals, particularly those skilled in conventional oilfield operations, are retiring, leaving behind a knowledge gap that is difficult to bridge. While new graduates entering the workforce may have expertise in digital technologies, they often lack the hands-on experience required to work in high-risk environments such as offshore drilling platforms or remote pipeline monitoring stations. The slow pace of workforce transformation further restrains automation growth, as companies must invest in both hiring new talent and retraining existing employees.
To address these challenges, companies are increasingly focusing on strategic partnerships with technology providers, training programs, and reskilling initiatives. Collaboration with universities, technical institutes, and industry training programs can help develop a pipeline of skilled professionals who can effectively manage automated systems. Additionally, leveraging AI-driven training simulations and virtual reality (VR) modules can facilitate hands-on learning without exposing workers to hazardous environments. Despite these efforts, the technical complexity and skill gap remain critical restraints that must be addressed for the oil & gas automation market to achieve its full potential.
Opportunities:
- Rising Investments in Digital Transformation and Smart Oilfields
- Growing Adoption of Robotics and AI for Remote Monitoring and Maintenance
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Expansion of Automation in Midstream and Downstream Operations- The expansion of automation in midstream and downstream operations presents a significant opportunity in the global oil & gas automation market. As the industry faces increasing pressure to enhance efficiency, reduce costs, and improve safety, automation technologies such as IoT (Internet of Things), AI-driven analytics, and robotics are being widely adopted. In midstream operations, which involve transportation, storage, and logistics of oil and gas, automation helps optimize pipeline monitoring, prevent leakages, and enhance asset utilization. Similarly, in downstream processes like refining, petrochemical production, and distribution, automated systems improve process control, reduce operational risks, and enable real-time monitoring, leading to better decision-making and cost savings.
One of the primary drivers for automation expansion in these sectors is the need for predictive maintenance and asset integrity management. Midstream and downstream operations involve complex infrastructure, such as pipelines, storage tanks, and refining units, which require continuous monitoring to prevent failures. Advanced automation solutions, including AI-powered predictive analytics and digital twin technology, allow operators to foresee equipment malfunctions, reduce unplanned downtime, and extend asset lifecycles. This not only enhances operational efficiency but also ensures compliance with stringent environmental and safety regulations, minimizing financial and reputational risks for oil and gas companies.
Another crucial factor fueling automation growth in midstream and downstream operations is the industry's transition toward digitalization and smart refineries. The integration of cloud-based SCADA (Supervisory Control and Data Acquisition) systems, remote sensors, and real-time data analytics is transforming traditional operations into highly connected, intelligent ecosystems. These advancements enable companies to automate workflow processes, optimize energy consumption, and improve refining efficiency. Moreover, digital automation supports sustainability initiatives by reducing emissions and enhancing energy efficiency, aligning with global efforts toward decarbonization and regulatory compliance.
The rising adoption of automation in these sectors is also driven by the growing labor shortages and the need for enhanced workforce safety. With an aging workforce and increasing retirements, the industry faces a challenge in maintaining skilled personnel for field operations. Automation technologies such as robotic process automation (RPA), unmanned aerial vehicles (UAVs), and autonomous pipeline inspection systems help bridge this gap by reducing human intervention in hazardous environments. This not only ensures worker safety but also increases operational reliability, making automation a key enabler for the future growth of the global oil & gas automation market.
Oil And Gas Automation Market Competitive Landscape Analysis
Oil and Gas Automation Market presents a competitive landscape shaped by industrial innovation, digital transformation strategies, and strategic partnerships across upstream, midstream, and downstream operations. Leading companies hold nearly 65% of total market share, focusing on process optimization, predictive maintenance, and advanced control systems. Expanding collaboration with automation providers, software developers, and EPC contractors continues to drive growth in intelligent oilfield operations.
Market Structure and Concentration
The market demonstrates moderate consolidation, with major players contributing approximately 60% of global revenue. Companies employ strategies centered on digital twin deployment, SCADA system integration, and remote monitoring. Ongoing collaboration with industrial automation specialists and control system engineers supports technological advancements in AI-driven analytics, robotics, and IoT-based asset management.
Brand and Channel Strategies
Manufacturers and service providers are enhancing brand positioning through digital distribution channels and strategic alliances with oilfield operators. Nearly 55% of suppliers maintain partnerships with automation integrators, control system vendors, and cloud service providers. These strategies improve operational reliability, enhance brand visibility, and expand adoption across drilling, refining, and pipeline management sectors.
Innovation Drivers and Technological Advancements
Nearly 70% of R&D efforts focus on technological advancements in real-time monitoring, AI-based control systems, and autonomous field operations. Continuous innovation enhances operational safety, production efficiency, and energy utilization. Strategic collaboration with industrial AI firms and automation technology developers drives growth in smart oilfield solutions and digitalized process control systems.
Regional Momentum and Expansion
North America leads with over 45% of total market share, supported by innovation in shale extraction automation and advanced refinery operations. The Middle East contributes nearly 25%, emphasizing partnerships in production optimization and digital transformation projects. The Asia-Pacific region holds about 20%, witnessing rapid expansion in industrial automation, offshore drilling, and energy infrastructure modernization.
Future Outlook
The Oil and Gas Automation Market is projected to sustain strong growth through digital integration strategies and cloud-based process management. Around 35% of upcoming partnerships and mergers will focus on AI integration, edge computing, and cyber-secure automation. Continued technological advancements will redefine productivity, operational transparency, and energy efficiency across the global oil and gas value chain.
Key players in Oil & Gas Automation Market include:
- Schneider Electric
- Emerson Electric
- ABB
- Honeywell
- Siemens
- Rockwell Automation
- Mitsubishi Electric
- Yokogawa Electric
- General Electric
- Endress+Hauser
- Bosch Rexroth
- Eaton
- Johnson Controls
- Halliburton
- Schlumberger
In this report, the profile of each market player provides following information:
-
Market Share Analysis
- Company Overview and Product Portfolio
- Key Developments
- Financial Overview
- Strategies
- Company SWOT Analysis
- Introduction
- Research Objectives and Assumptions
- Research Methodology
- Abbreviations
- Market Definition & Study Scope
- Executive Summary
- Market Snapshot, By Component
- Market Snapshot, By Process
- Market Snapshot, By Technology
- Market Snapshot, By Application
- Market Snapshot, By Region
- Oil And Gas Automation Market Dynamics
- Drivers, Restraints and Opportunities
- Drivers
- Increasing Demand for Energy Efficiency and Operational Optimization
- Rising Adoption of Industrial IoT (IIoT) and AI-driven Automation
- Growing Focus on Safety and Risk Management in Oil & Gas Operations
- Restraints
- High Initial Investment and Integration Costs
- Cybersecurity Risks and Data Breach Concerns
- Technical Complexity and Skill Gap in Workforce
- Opportunities
- Rising Investments in Digital Transformation and Smart Oilfields
- Growing Adoption of Robotics and AI for Remote Monitoring and Maintenance
- Expansion of Automation in Midstream and Downstream Operations
- Drivers
- PEST Analysis
- Political Analysis
- Economic Analysis
- Social Analysis
- Technological Analysis
- Porter's Analysis
- Bargaining Power of Suppliers
- Bargaining Power of Buyers
- Threat of Substitutes
- Threat of New Entrants
- Competitive Rivalry
- Drivers, Restraints and Opportunities
- Market Segmentation
- Oil And Gas Automation Market, By Component, 2021 - 2031 (USD Million)
- Hardware
- Software
- Services
- Oil And Gas Automation Market, By Process, 2021 - 2031 (USD Million)
- Upstream
- Midstream
- Downstream
- Oil And Gas Automation Market, By Technology, 2021 - 2031 (USD Million)
- Sensors & Transmitters
- Distributed Control Systems (DCS)
- Programmable Logic Controllers (PLC)
- Supervisory Control & Data Acquisition (SCADA)
- Safety Instrumented Systems (SIS)
- Other
- Oil And Gas Automation Market, By Application, 2021 - 2031 (USD Million)
- Drilling & Completion
- Production & Well Optimization
- Pipeline & Transportation
- Refining & Petrochemicals
- LNG Terminals & Storage
- Oil And Gas Automation Market, By Geography, 2021 - 2031 (USD Million)
- North America
- United States
- Canada
- Europe
- Germany
- United Kingdom
- France
- Italy
- Spain
- Nordic
- Benelux
- Rest of Europe
- Asia Pacific
- Japan
- China
- India
- Australia & New Zealand
- South Korea
- ASEAN (Association of South East Asian Countries)
- Rest of Asia Pacific
- Middle East & Africa
- GCC
- Israel
- South Africa
- Rest of Middle East & Africa
- Latin America
- Brazil
- Mexico
- Argentina
- Rest of Latin America
- North America
- Oil And Gas Automation Market, By Component, 2021 - 2031 (USD Million)
- Competitive Landscape
- Company Profiles
- Schneider Electric
- Emerson Electric
- ABB
- Honeywell
- Siemens
- Rockwell Automation
- Mitsubishi Electric
- Yokogawa Electric
- General Electric
- Endress+Hauser
- Bosch Rexroth
- Eaton
- Johnson Controls
- Halliburton
- Schlumberger
- Company Profiles
- Analyst Views
- Future Outlook of the Market

