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Global Energy Security Market to reach USD 38.2 billion by the end of 2030

Global Energy Security Market Size study & Forecast, by Component (Solution, Service), by Technology (Physical Security, Network Security), by Power Plant (Thermal and hydro, Nuclear, Oil and gas, Renewable Energy), and Regional Analysis, 2023-2030

Product Code: EPPGS-77711046
Publish Date: 29-02-2024
Page: 200

Global Energy Security Market is valued at approximately USD 17.2 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 10.5% during the forecast period 2023-2030. Energy security encompasses safeguarding both power plants and the sources of energy generation against physical and cyber threats to ensure the uninterrupted operation of power generation facilities. Furthermore, the swift implementation of renewable energy, heightened energy efficiency, and the diversification of energy sources, storage solutions, and types of energy machinery can yield substantial benefits in terms of both energy security and economic outcomes.

Heightened government pressures, security compliance requirements, and regulations are driving innovation that integrates scripting, knowledge, and execution. The amalgamation of technical skills has markedly enhanced the efficiency of back-office tasks. Simultaneously, various government agencies and power plant owners are implementing a range of network and physical solutions, including detectors, perimeters, microwave intrusion detection, secure communications, surveillance systems, and access control systems. For example, both the United States and the European Commission are committed to diminishing Europe’s dependence on Russian energy while expediting the global transition to clean energy. Additionally, the anticipated adoption of network systems such as antivirus, firewall, SCADA, and IPS/IDS over the next seven years is poised to accelerate the growth of the energy security industry, propelling market advancements. Moreover, In January 2020, the state of California introduced the Consumer Privacy Act, and governments worldwide began implementing regulations governing how businesses can collect data from users on their digital platforms. Consequently, marketers are challenged to enhance personalization efforts while working with reduced access to personal data. Concurrently, both federal and state governments are refining their strategies for managing various privacy laws relevant to data involved in their operations. For instance, the Massachusetts Data Security regulations prioritize security and aim to enhance the privacy of big data analytics. In Europe, there is a proactive move towards leveraging artificial intelligence (AI) to enhance data protection services for diverse organizations. The European Government has embraced the General Data Protection Regulation (GDPR), designed to oversee the collection, storage, and processing of individual information with the primary goal of safeguarding consumers’ critical data within the European region. Additionally, organizations are adopting analytical software to incorporate advanced technologies such as artificial intelligence (AI) and machine learning (ML) to automate processes and augment human activities. However, a lack of apprehension about security implementation by operators and the unpredictability of crimes stifle market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Energy Security Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America is poised to maintain its dominance in the industry due to the growing adoption of these solutions. Meanwhile, Asia Pacific is projected to experience significant growth over the forecast period, driven by a rising population and supportive government initiatives in the region.

Major market player included in this report are:
Raytheon Technologies Corporation (U.S.)
Elbit Systems Ltd. (Israel)
Telefonaktiebolaget LM Ericsson (Sweden)
Siemens Energy (Germany)
Springer Nature (Germany)
Teledyne FLIR LLC (U.S.)
Honeywell International Inc. (U.S.)
Hexagon AB (Sweden )
Lockheed Martin Corporation (U.S.)
Northrop Grumman (U.S.)

Recent Developments in the Market:
Ø In October 2021, Siemens AG introduced a novel Artificial Intelligence (AI)-based industrial cybersecurity service named Managed Detection and Response (MDR), powered by Eos.ii. This initiative aims to assist small and medium-sized energy companies in safeguarding critical infrastructure against cyberattacks. MDR’s technological foundation, Eos.ii, utilizes AI and machine learning methodologies to continuously gather and model real-time intelligence about energy assets. This enables cybersecurity experts at Siemens Energy to proactively monitor, detect, and identify potential attacks before they are executed.
Ø In January 2021, IBM Corporation collaborated with Telephonic Help to expedite the modernization of application estates, offering the flexibility for clients to choose between on-premises or cloud-based setups for their workloads.
Global Energy Security 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, Technology, Power Plant, 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:

By Technology:
Physical Security
Network Security

By Power Plant:
Thermal and hydro
Oil and gas
Renewable Energy

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. Energy Security Market, by Region, 2020-2030 (USD Billion)
1.2.2. Energy Security Market, by Component, 2020-2030 (USD Billion)
1.2.3. Energy Security Market, by Technology, 2020-2030 (USD Billion)
1.2.4. Energy Security Market, by Power Plant, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Energy Security 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 Energy Security Market Dynamics
3.1. Energy Security Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Growing government concerns and security compliance and regulation Increase in physical attacks and insider threats
3.1.2. Market Challenges Lack of apprehension about security implementation by operators Unpredictability of crimes
3.1.3. Market Opportunities Rise of new energy markets in developing economies Increase in threats from terrorist and cyber-attacks
Chapter 4. Global Energy Security 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 Energy Security Market, by Component
5.1. Market Snapshot
5.2. Global Energy Security Market by Component, Performance – Potential Analysis
5.3. Global Energy Security Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
5.4. Energy Security Market, Sub Segment Analysis
5.4.1. Solution
5.4.2. Services
Chapter 6. Global Energy Security Market, by Technology
6.1. Market Snapshot
6.2. Global Energy Security Market by Technology, Performance – Potential Analysis
6.3. Global Energy Security Market Estimates & Forecasts by Technology 2020-2030 (USD Billion)
6.4. Energy Security Market, Sub Segment Analysis
6.4.1. Physical Security
6.4.2. Network Security
Chapter 7. Global Energy Security Market, by Power Plant
7.1. Market Snapshot
7.2. Global Energy Security Market by Power Plant, Performance – Potential Analysis
7.3. Global Energy Security Market Estimates & Forecasts by Power Plant 2020-2030 (USD Billion)
7.4. Energy Security Market, Sub Segment Analysis
7.4.1. Thermal and hydro
7.4.2. Nuclear
7.4.3. Oil and gas
7.4.4. Renewable Energy
Chapter 8. Global Energy Security Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Energy Security Market, Regional Market Snapshot
8.4. North America Energy Security Market
8.4.1. U.S. Energy Security Market Component breakdown estimates & forecasts, 2020-2030 Technology breakdown estimates & forecasts, 2020-2030 Power Plant breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Energy Security Market
8.5. Europe Energy Security Market Snapshot
8.5.1. U.K. Energy Security Market
8.5.2. Germany Energy Security Market
8.5.3. France Energy Security Market
8.5.4. Spain Energy Security Market
8.5.5. Italy Energy Security Market
8.5.6. Rest of Europe Energy Security Market
8.6. Asia-Pacific Energy Security Market Snapshot
8.6.1. China Energy Security Market
8.6.2. India Energy Security Market
8.6.3. Japan Energy Security Market
8.6.4. Australia Energy Security Market
8.6.5. South Korea Energy Security Market
8.6.6. Rest of Asia Pacific Energy Security Market
8.7. Latin America Energy Security Market Snapshot
8.7.1. Brazil Energy Security Market
8.7.2. Mexico Energy Security Market
8.8. Middle East & Africa Energy Security Market
8.8.1. Saudi Arabia Energy Security Market
8.8.2. South Africa Energy Security Market
8.8.3. Rest of Middle East & Africa Energy Security Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Raytheon Technologies Corporation (U.S.) Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Elbit Systems Ltd. (Israel)
9.3.3. Telefonaktiebolaget LM Ericsson (Sweden)
9.3.4. Siemens Energy (Germany)
9.3.5. Springer Nature (Germany)
9.3.6. Teledyne FLIR LLC (U.S.)
9.3.7. Honeywell International Inc. (U.S.)
9.3.8. Hexagon AB (Sweden )
9.3.9. Lockheed Martin Corporation (U.S.)
9.3.10. Northrop Grumman (U.S.)
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

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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