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Bizwit Research & Consulting LLP is a global provider of business intelligence & consulting services. We have a strong primary base of key industry leaders along with the chain of industry analysts to analyze the market trends and its future impact in order to estimates and forecast different business segments and markets. 

Global Road Weather Information System Market to reach USD 2.07 billion by the end of 2029.

Global Road Weather Information System Market Size study & Forecast, by Component (Hardware, Software, and Services), by Application (Route-Based Forecasting, Low-Visibility Warning Systems, Emergency Management, Climate Change Tracking, and Others) and Regional Analysis, 2022-2029

Product Code: ICTEITS-78690773
Publish Date: 25-01-2023
Page: 200

Global Road Weather Information System Market is valued at approximately USD 1.27 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 6.3% over the forecast period 2022-2029. Road Weather Information System is a Weather information system comprised of Environmental Sensor Stations (ESS) in the field, a communication system for data transfer, and central systems to collect field data from numerous ESS. This system offers detailed data related to roadside weather conditions and road surface temperature data. The ESS comprised a short tower, with meteorological sensors. The Processors collect and analyze sensor data and transmit the information to a CPU. Furthermore, CPU compiles data from different sites and provides weather and road conditions. The increasing spending on road infrastructure and growing adoption of RWIS to reduce road maintenance costs as well as strategic initiatives from leading market players are key factors accelerating the market growth.

The increasing investment in road infrastructure development is contributing to the growth of the Global Road Weather Information System Market. For instance, according to India Brand Equity Foundation (IBEF) – in 2019, the Government of India allocated funds of worth USD 1.4 trillion under the National Infrastructure Pipeline for FY 2019-25 period. Moreover, under this national Infrastructure Pipeline, the roads sector would account for 18% (approximately 252 billion) of capital expenditure over FY 2019-25. Furthermore, in June 2022, the European Commission selected 135 transport infrastructure projects for EU grants worth Euro 5.4 billion (USD 5.29 billion). This funding would support projects across all EU Member States along the Trans-European Transport Network (TEN-T), a planned network of roads, railways, airports and water infrastructure in the European Union. Also, rising advancements in road weather information systems and growing expenditure on railways transport in developing regions would create a lucrative growth prospectus for the market over the forecast period. However, deployment and longstanding issues with snow and ice stifle market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Road Weather Information System Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is the leading region in terms of market share owing to growing deployment of RWIS system and presence of leading market players in the region. Whereas Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as rising investment in road infrastructure coupled with increasing penetration of leading market players in the region.

Major market players included in this report are:
Campbell Scientific Inc.
High Sierra Electronics Inc.
Boschung America LLC
Renaissance Technologies Inc.
Quixote Transportation Technologies Inc.
Fathym Inc.
OneRain Incorporated
Airmar Technology Corp
Liquid Robotics Inc.
Morcom International

Recent Developments in the Market:
 In June 2021, California, USA based High Sierra Electronics, Inc., a leading manufacturer of environmental monitoring systems launched a new StormLink RWIS Lite range of road weather solutions. This new solution would enable drivers to get access to weather information in real time.

Global Road Weather Information System Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Component, Application, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
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 Application
Route-Based Forecasting
Low-Visibility Warning Systems
Emergency Management
Climate Change Tracking,

By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Road Weather Information System Market, by Region, 2019-2029 (USD Billion)
1.2.2. Road Weather Information System Market, by Component, 2019-2029 (USD Billion)
1.2.3. Road Weather Information System Market, by Application, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Road Weather Information System Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Road Weather Information System Market Dynamics
3.1. Road Weather Information System Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Increasing Spending on road infrastructure Growing adoption of RWIS to reduce road maintenance costs Strategic initiatives from leading market players
3.1.2. Market Challenges Deployment and longstanding issues with snow and ice
3.1.3. Market Opportunities Rising advancements in road weather information systems Growing expenditure on railways transport in developing regions
Chapter 4. Global Road Weather Information System 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. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. Industry Experts Prospective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Road Weather Information System Market, by Component
6.1. Market Snapshot
6.2. Global Road Weather Information System Market by Component, Performance – Potential Analysis
6.3. Global Road Weather Information System Market Estimates & Forecasts by Component 2019-2029 (USD Billion)
6.4. Road Weather Information System Market, Sub Segment Analysis
6.4.1. Hardware
6.4.2. Software
6.4.3. Services
Chapter 7. Global Road Weather Information System Market, by Application
7.1. Market Snapshot
7.2. Global Road Weather Information System Market by Application, Performance – Potential Analysis
7.3. Global Road Weather Information System Market Estimates & Forecasts by Application 2019-2029 (USD Billion)
7.4. Road Weather Information System Market, Sub Segment Analysis
7.4.1. Route-Based Forecasting
7.4.2. Low-Visibility Warning Systems
7.4.3. Emergency Management
7.4.4. Climate Change Tracking
7.4.5. Others
Chapter 8. Global Road Weather Information System Market, Regional Analysis
8.1. Road Weather Information System Market, Regional Market Snapshot
8.2. North America Road Weather Information System Market
8.2.1. U.S. Road Weather Information System Market Component breakdown estimates & forecasts, 2019-2029 Application breakdown estimates & forecasts, 2019-2029
8.2.2. Canada Road Weather Information System Market
8.3. Europe Road Weather Information System Market Snapshot
8.3.1. U.K. Road Weather Information System Market
8.3.2. Germany Road Weather Information System Market
8.3.3. France Road Weather Information System Market
8.3.4. Spain Road Weather Information System Market
8.3.5. Italy Road Weather Information System Market
8.3.6. Rest of Europe Road Weather Information System Market
8.4. Asia-Pacific Road Weather Information System Market Snapshot
8.4.1. China Road Weather Information System Market
8.4.2. India Road Weather Information System Market
8.4.3. Japan Road Weather Information System Market
8.4.4. Australia Road Weather Information System Market
8.4.5. South Korea Road Weather Information System Market
8.4.6. Rest of Asia Pacific Road Weather Information System Market
8.5. Latin America Road Weather Information System Market Snapshot
8.5.1. Brazil Road Weather Information System Market
8.5.2. Mexico Road Weather Information System Market
8.5.3. Rest of Latin America Road Weather Information System Market
8.6. Rest of The World Road Weather Information System Market

Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. Campbell Scientific Inc. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.2.2. High Sierra Electronics Inc.
9.2.3. Boschung America LLC
9.2.4. Renaissance Technologies Inc.
9.2.5. Quixote Transportation Technologies Inc.
9.2.6. Fathym Inc.
9.2.7. OneRain Incorporated
9.2.8. Airmar Technology Corp
9.2.9. Liquid Robotics Inc.
9.2.10. Morcom International
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.
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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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