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Global Operational Technology Market to reach USD 255.9 billion by the end of 2030.

Global Operational Technology Market Size study & Forecast, by Component (Field Instruments, Control Systems, Services), by Connectivity (Wired, Wireless), by Industry (Process Industry, Discrete Industry), by Technology (Supervisory Control and Data Acquisition , Distributed Control Systems , Process Control Domains , Programmable Logic Controllers , Safety Instrumented Systems , Building Management/Automation Systems) and Regional Analysis, 2023-2030

Product Code: ICTNGT-48060929
Publish Date: 30-10-2023
Page: 200

Global Operational Technology Market is valued at approximately USD 159.4 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 6.10% over the forecast period 2023-2030. Operational Technology (OT) refers to the hardware and software systems used to monitor, control, and manage physical devices and processes in various industries and infrastructures. It is often used in industrial settings, such as manufacturing, energy production, transportation, and utilities, to automate and optimize operations. The Operational Technology market is expanding because of factors such as the rising adoption of the industrial Internet of Things (IIoT), increasing initiatives for digital transformation and Integration with Artificial Intelligence (AI) and Machine Learning (ML) across the industrial sector.

The increasing adoption and integration of Industrial Internet of Things (IIoT) technologies are major factors driving the growth of the operational technology (OT) market. IIoT refers to the network of connected devices, sensors, and equipment used in industrial settings to gather data and enable communication between various machines and systems. This connectivity and data exchange enhance operational efficiency, productivity, and automation in industries. According to Statista, in the year 2020, the Industrial Internet of Things (IIoT) market size worldwide stood at USD 216.13 billion which increased to USD 263.52 billion in the year 2021 and it is projected to reach USD 1110 billion by the year 2028. This increase in market size indicates the rising adoption of IoT in the industrial sector which integrates sensors, connectivity, and data analytics platforms to enable smart automation in the industry, resulting in market growth. In addition, increasing emphasis on real-time data analysis and predictive maintenance as well as strategic initiatives by governments to promote the adoption of operational technologies are creating new opportunities for market growth. However, high installation and maintenance costs and a lack of skilled professionals stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Operational Technology Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to factors such as the rising adoption of smart manufacturing technologies, the presence of key market players, rising industrial automation and the emergence of new technologies such as machine learning and artificial intelligence in the industrial sector. Whereas, Asia Pacific is projected to grow at a significant rate owing to factors such as the rising number of industrial buildings, rising development of smart manufacturing, and rising adoption of IoT devices in industrial settings.

Major market player included in this report are:
ABB Ltd.
Siemens AG
Honeywell International Inc.
General Electric Company
Schneider Electric SE
Rockwell Automation Inc.
Emerson Electric Co.
Oracle Corporation
IBM Corporation
Yokogawa Electric Corporation

Recent Developments in the Market:
Ø In December 2021, General Electric successfully entered into an agreement to acquire Opus One Solutions Energy Corporation. Opus One Solutions is a prominent software company known for its expertise in assisting electric utilities in effectively integrating renewables and Distributed Energy Resources (DERs) across the electric grid. With this acquisition, General Electric aims to bolster utilities’ decision-making capabilities, empowering them to adopt renewable energy sources and DERs at a significant scale, thus advancing the sustainability and efficiency of the electrical infrastructure.
Ø In March 2022, Oracle Corporation revealed 11 new computing, networking, and storage services and capabilities. This product launch aimed to reduce costs while enabling users to complete tasks more swiftly and safely. Customers now have a variety of innovative services to pick from that offer an agile core infrastructure, dynamically modify resources to meet application needs, and drastically cut costs.

Global Operational Technology Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Component, Connectivity, Industry, Technology, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

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 years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential 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 Component:
Field Instruments
Control Systems

By Connectivity:

By Industry:
Process Industry
Discrete Industry

By Technology:
Supervisory Control and Data Acquisition (SCADA)
Distributed Control Systems (DCS)
Process Control Domains (PCD)
Programmable Logic Controllers (PLC)
Safety Instrumented Systems (SIS)
Building Management/Automation Systems (BAS))

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Operational Technology Market, by Region, 2020-2030 (USD Billion)
1.2.2. Operational Technology Market, by Component, 2020-2030 (USD Billion)
1.2.3. Operational Technology Market, by Connectivity, 2020-2030 (USD Billion)
1.2.4. Operational Technology Market, by Industry, 2020-2030 (USD Billion)
1.2.5. Operational Technology Market, by Technology, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Operational Technology Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Operational Technology Market Dynamics
3.1. Operational Technology Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rising adoption of industrial Internet of Things (IIoT) Increasing initiatives for digital transformation Integration with Artificial Intelligence (AI) and Machine Learning (ML) across industrial sector
3.1.2. Market Challenges High installation and maintenance costs Lack of skilled professionals
3.1.3. Market Opportunities Increasing emphasis on real-time data analysis and predictive maintenance Strategic initiatives by governments to promote adoption of operational technologies
Chapter 4. Global Operational Technology 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
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Operational Technology Market, by Component
5.1. Market Snapshot
5.2. Global Operational Technology Market by Component, Performance – Potential Analysis
5.3. Global Operational Technology Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
5.4. Operational Technology Market, Sub Segment Analysis
5.4.1. Field Instruments
5.4.2. Control Systems
5.4.3. Services
Chapter 6. Global Operational Technology Market, by Connectivity
6.1. Market Snapshot
6.2. Global Operational Technology Market by Connectivity, Performance – Potential Analysis
6.3. Global Operational Technology Market Estimates & Forecasts by Connectivity 2020-2030 (USD Billion)
6.4. Operational Technology Market, Sub Segment Analysis
6.4.1. Wired
6.4.2. Wireless
Chapter 7. Global Operational Technology Market, by Industry
7.1. Market Snapshot
7.2. Global Operational Technology Market by Industry, Performance – Potential Analysis
7.3. Global Operational Technology Market Estimates & Forecasts by Industry 2020-2030 (USD Billion)
7.4. Operational Technology Market, Sub Segment Analysis
7.4.1. Process Industry
7.4.2. Discrete Industry
Chapter 8. Global Operational Technology Market, by Technology
8.1. Market Snapshot
8.2. Global Operational Technology Market by Technology, Performance – Potential Analysis
8.3. Global Operational Technology Market Estimates & Forecasts by Technology 2020-2030 (USD Billion)
8.4. Operational Technology Market, Sub Segment Analysis
8.4.1. Supervisory Control and Data Acquisition (SCADA)
8.4.2. Distributed Control Systems (DCS)
8.4.3. Process Control Domains (PCD)
8.4.4. Programmable Logic Controllers (PLC)
8.4.5. Safety Instrumented Systems (SIS)
8.4.6. Building Management/Automation Systems (BAS)
Chapter 9. Global Operational Technology Market, Regional Analysis
9.1. Top Leading Countries
9.2. Top Emerging Countries
9.3. Operational Technology Market, Regional Market Snapshot
9.4. North America Operational Technology Market
9.4.1. U.S. Operational Technology Market Component breakdown estimates & forecasts, 2020-2030 Connectivity breakdown estimates & forecasts, 2020-2030 Industry breakdown estimates & forecasts, 2020-2030 Technology breakdown estimates & forecasts, 2020-2030
9.4.2. Canada Operational Technology Market
9.5. Europe Operational Technology Market Snapshot
9.5.1. U.K. Operational Technology Market
9.5.2. Germany Operational Technology Market
9.5.3. France Operational Technology Market
9.5.4. Spain Operational Technology Market
9.5.5. Italy Operational Technology Market
9.5.6. Rest of Europe Operational Technology Market
9.6. Asia-Pacific Operational Technology Market Snapshot
9.6.1. China Operational Technology Market
9.6.2. India Operational Technology Market
9.6.3. Japan Operational Technology Market
9.6.4. Australia Operational Technology Market
9.6.5. South Korea Operational Technology Market
9.6.6. Rest of Asia Pacific Operational Technology Market
9.7. Latin America Operational Technology Market Snapshot
9.7.1. Brazil Operational Technology Market
9.7.2. Mexico Operational Technology Market
9.8. Middle East & Africa Operational Technology Market
9.8.1. Saudi Arabia Operational Technology Market
9.8.2. South Africa Operational Technology Market
9.8.3. Rest of Middle East & Africa Operational Technology Market

Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.1.1. Company 1
10.1.2. Company 2
10.1.3. Company 3
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. ABB Ltd. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.3.2. Siemens AG
10.3.3. Honeywell International Inc.
10.3.4. General Electric Company
10.3.5. Schneider Electric SE
10.3.6. Rockwell Automation Inc.
10.3.7. Emerson Electric Co.
10.3.8. Oracle Corporation
10.3.9. International Business Machine Corporation
10.3.10. Yokogawa Electric Corporation
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
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.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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