Global Rainfall and Runoff Software Market

Rainfall and Runoff Software Comprehensive Study by Deployment Type (Cloud, On-premises), Model Type (Hydrologic Model, Hydraulic Model, Water Quality Model, Other) Players and Region - Global Market Outlook to 2027

Rainfall and Runoff Software Market by XX Submarkets | Forecast Years 2022-2027  

Access Sample Report Make An Enquiry Before Purchase
  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Rainfall and Runoff Software
In recent times, it has become necessary to determine the quantity of runoff during the rainfall, which helps to estimate the flood risk and make plans to overcome the situation. The effect of global warming has increased the water level in the sea and rivers. The rainfall-runoff software can also be used to measure the water level of these sources, which is expected to boost the rainfall-runoff market. However, the developing cutting-edge technologies and mergers & acquisitions have lifted the market worldwide. Among the model types, the hydrological model is highly preferred for hydrologic investigation as it analyzes the flow of water in streams, rivers, and multiple natural and manmade sources.

AttributesDetails
Study Period2017-2027
Base Year2021
UnitValue (USD Million)


The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches, and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies. Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global Rainfall and Runoff Software market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

Esri (United States), Bentley Systems (United States), Autodesk (United States), DroneDeploy (United States), HydroCAD Software Solutions LLC (United States), BMT Group Ltd (United Kingdom), WSP (Canada), Atkins (United Kingdom), KISTERS AG (Germany) and Innovyze (United States) are some of the key players that are part of study coverage.

Segmentation Overview
AMA Research has segmented the market of Global Rainfall and Runoff Software market by and Region.



On the basis of geography, the market of Rainfall and Runoff Software has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Deployment Type, the sub-segment i.e. Cloud will boost the Rainfall and Runoff Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Model Type, the sub-segment i.e. Hydrologic Model will boost the Rainfall and Runoff Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
The Evolution of Artificial Neural Network Using Real-Coded Genetic Algorithms in Rainfall-Runoff Software.

Market Growth Drivers:
Increased Adoption of Rainfall-Runoff Software Due to The Climate Change Effect As It Also Helps in Weather Forecasting and Rainfall. and Business Strategies Such As Merger & Acquisitions, Technological Developments to Drive Market.

Challenges:
Utilization of Traditional Approach to Forecast Rainfall and Runoff and High Initial Cost

Restraints:
Lack of Awareness About The Software Among SMEs and Inadequate Skillful Resources is Expected to Restrain.

Opportunities:
The Software Helps to Determine The Risk of Flood. Through Which The Government Can Alert and Migrate People If There is A Risk Due to Natural Disaster Such As Flood.

Market Leaders and their expansionary development strategies
In May 2019, the US-based Software Company Bentley Systems acquired UK-based Keynetix. The acquisition will help Bentley Systems to expand its geotechnical offerings and accelerates Bentley's vision of enabling subsurface digital twins for infrastructure projects and assets. The subsurface digital twins include various models such as hydrology, geology, and many more for the underground environments, utility networks, structures.
In 2018, the Hydrology Group at Irstea introduced airGR models suit to provide an open-source tool for rainfall-runoff models. The tool allows users to run 6 hydrological models one snow accumulation and melt model, one automatic calibration procedure, pre-defined graphical plots, and a set of efficiency criteria, which is dedicated to different time steps.


Key Target Audience
Key Target Audience, New Entrants/Investors, Analysts and Strategic Business Planners, Rainfall and Runoff software providers, SaaS Vendors, Venture Capitalists and Private Equity Firms, Government Regulatory and Research Organizations and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Deployment Type
  • Cloud
  • On-premises

By Model Type
  • Hydrologic Model
  • Hydraulic Model
  • Water Quality Model
  • Other

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Increased Adoption of Rainfall-Runoff Software Due to The Climate Change Effect As It Also Helps in Weather Forecasting and Rainfall.
      • 3.2.2. Business Strategies Such As Merger & Acquisitions, Technological Developments to Drive Market.
    • 3.3. Market Challenges
      • 3.3.1. Utilization of Traditional Approach to Forecast Rainfall and Runoff and High Initial Cost
    • 3.4. Market Trends
      • 3.4.1. The Evolution of Artificial Neural Network Using Real-Coded Genetic Algorithms in Rainfall-Runoff Software.
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Rainfall and Runoff Software, by Deployment Type, Model Type and Region (value) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Rainfall and Runoff Software (Value)
      • 5.2.1. Global Rainfall and Runoff Software by: Deployment Type (Value)
        • 5.2.1.1. Cloud
        • 5.2.1.2. On-premises
      • 5.2.2. Global Rainfall and Runoff Software by: Model Type (Value)
        • 5.2.2.1. Hydrologic Model
        • 5.2.2.2. Hydraulic Model
        • 5.2.2.3. Water Quality Model
        • 5.2.2.4. Other
      • 5.2.3. Global Rainfall and Runoff Software Region
        • 5.2.3.1. South America
          • 5.2.3.1.1. Brazil
          • 5.2.3.1.2. Argentina
          • 5.2.3.1.3. Rest of South America
        • 5.2.3.2. Asia Pacific
          • 5.2.3.2.1. China
          • 5.2.3.2.2. Japan
          • 5.2.3.2.3. India
          • 5.2.3.2.4. South Korea
          • 5.2.3.2.5. Taiwan
          • 5.2.3.2.6. Australia
          • 5.2.3.2.7. Rest of Asia-Pacific
        • 5.2.3.3. Europe
          • 5.2.3.3.1. Germany
          • 5.2.3.3.2. France
          • 5.2.3.3.3. Italy
          • 5.2.3.3.4. United Kingdom
          • 5.2.3.3.5. Netherlands
          • 5.2.3.3.6. Rest of Europe
        • 5.2.3.4. MEA
          • 5.2.3.4.1. Middle East
          • 5.2.3.4.2. Africa
        • 5.2.3.5. North America
          • 5.2.3.5.1. United States
          • 5.2.3.5.2. Canada
          • 5.2.3.5.3. Mexico
  • 6. Rainfall and Runoff Software: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2021)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Esri (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Bentley Systems (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Autodesk (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. DroneDeploy (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. HydroCAD Software Solutions LLC (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. BMT Group Ltd (United Kingdom)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. WSP (Canada)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Atkins (United Kingdom)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. KISTERS AG (Germany)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Innovyze (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Rainfall and Runoff Software Sale, by Deployment Type, Model Type and Region (value) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Rainfall and Runoff Software (Value)
      • 7.2.1. Global Rainfall and Runoff Software by: Deployment Type (Value)
        • 7.2.1.1. Cloud
        • 7.2.1.2. On-premises
      • 7.2.2. Global Rainfall and Runoff Software by: Model Type (Value)
        • 7.2.2.1. Hydrologic Model
        • 7.2.2.2. Hydraulic Model
        • 7.2.2.3. Water Quality Model
        • 7.2.2.4. Other
      • 7.2.3. Global Rainfall and Runoff Software Region
        • 7.2.3.1. South America
          • 7.2.3.1.1. Brazil
          • 7.2.3.1.2. Argentina
          • 7.2.3.1.3. Rest of South America
        • 7.2.3.2. Asia Pacific
          • 7.2.3.2.1. China
          • 7.2.3.2.2. Japan
          • 7.2.3.2.3. India
          • 7.2.3.2.4. South Korea
          • 7.2.3.2.5. Taiwan
          • 7.2.3.2.6. Australia
          • 7.2.3.2.7. Rest of Asia-Pacific
        • 7.2.3.3. Europe
          • 7.2.3.3.1. Germany
          • 7.2.3.3.2. France
          • 7.2.3.3.3. Italy
          • 7.2.3.3.4. United Kingdom
          • 7.2.3.3.5. Netherlands
          • 7.2.3.3.6. Rest of Europe
        • 7.2.3.4. MEA
          • 7.2.3.4.1. Middle East
          • 7.2.3.4.2. Africa
        • 7.2.3.5. North America
          • 7.2.3.5.1. United States
          • 7.2.3.5.2. Canada
          • 7.2.3.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Rainfall and Runoff Software: by Deployment Type(USD Million)
  • Table 2. Rainfall and Runoff Software Cloud , by Region USD Million (2016-2021)
  • Table 3. Rainfall and Runoff Software On-premises , by Region USD Million (2016-2021)
  • Table 4. Rainfall and Runoff Software: by Model Type(USD Million)
  • Table 5. Rainfall and Runoff Software Hydrologic Model , by Region USD Million (2016-2021)
  • Table 6. Rainfall and Runoff Software Hydraulic Model , by Region USD Million (2016-2021)
  • Table 7. Rainfall and Runoff Software Water Quality Model , by Region USD Million (2016-2021)
  • Table 8. Rainfall and Runoff Software Other , by Region USD Million (2016-2021)
  • Table 9. South America Rainfall and Runoff Software, by Country USD Million (2016-2021)
  • Table 10. South America Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 11. South America Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 12. Brazil Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 13. Brazil Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 14. Argentina Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 15. Argentina Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 16. Rest of South America Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 17. Rest of South America Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 18. Asia Pacific Rainfall and Runoff Software, by Country USD Million (2016-2021)
  • Table 19. Asia Pacific Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 20. Asia Pacific Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 21. China Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 22. China Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 23. Japan Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 24. Japan Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 25. India Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 26. India Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 27. South Korea Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 28. South Korea Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 29. Taiwan Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 30. Taiwan Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 31. Australia Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 32. Australia Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 33. Rest of Asia-Pacific Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 34. Rest of Asia-Pacific Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 35. Europe Rainfall and Runoff Software, by Country USD Million (2016-2021)
  • Table 36. Europe Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 37. Europe Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 38. Germany Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 39. Germany Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 40. France Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 41. France Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 42. Italy Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 43. Italy Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 44. United Kingdom Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 45. United Kingdom Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 46. Netherlands Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 47. Netherlands Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 48. Rest of Europe Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 49. Rest of Europe Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 50. MEA Rainfall and Runoff Software, by Country USD Million (2016-2021)
  • Table 51. MEA Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 52. MEA Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 53. Middle East Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 54. Middle East Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 55. Africa Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 56. Africa Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 57. North America Rainfall and Runoff Software, by Country USD Million (2016-2021)
  • Table 58. North America Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 59. North America Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 60. United States Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 61. United States Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 62. Canada Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 63. Canada Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 64. Mexico Rainfall and Runoff Software, by Deployment Type USD Million (2016-2021)
  • Table 65. Mexico Rainfall and Runoff Software, by Model Type USD Million (2016-2021)
  • Table 66. Company Basic Information, Sales Area and Its Competitors
  • Table 67. Company Basic Information, Sales Area and Its Competitors
  • Table 68. Company Basic Information, Sales Area and Its Competitors
  • Table 69. Company Basic Information, Sales Area and Its Competitors
  • Table 70. Company Basic Information, Sales Area and Its Competitors
  • Table 71. Company Basic Information, Sales Area and Its Competitors
  • Table 72. Company Basic Information, Sales Area and Its Competitors
  • Table 73. Company Basic Information, Sales Area and Its Competitors
  • Table 74. Company Basic Information, Sales Area and Its Competitors
  • Table 75. Company Basic Information, Sales Area and Its Competitors
  • Table 76. Rainfall and Runoff Software: by Deployment Type(USD Million)
  • Table 77. Rainfall and Runoff Software Cloud , by Region USD Million (2022-2027)
  • Table 78. Rainfall and Runoff Software On-premises , by Region USD Million (2022-2027)
  • Table 79. Rainfall and Runoff Software: by Model Type(USD Million)
  • Table 80. Rainfall and Runoff Software Hydrologic Model , by Region USD Million (2022-2027)
  • Table 81. Rainfall and Runoff Software Hydraulic Model , by Region USD Million (2022-2027)
  • Table 82. Rainfall and Runoff Software Water Quality Model , by Region USD Million (2022-2027)
  • Table 83. Rainfall and Runoff Software Other , by Region USD Million (2022-2027)
  • Table 84. South America Rainfall and Runoff Software, by Country USD Million (2022-2027)
  • Table 85. South America Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 86. South America Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 87. Brazil Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 88. Brazil Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 89. Argentina Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 90. Argentina Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 91. Rest of South America Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 92. Rest of South America Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 93. Asia Pacific Rainfall and Runoff Software, by Country USD Million (2022-2027)
  • Table 94. Asia Pacific Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 95. Asia Pacific Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 96. China Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 97. China Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 98. Japan Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 99. Japan Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 100. India Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 101. India Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 102. South Korea Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 103. South Korea Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 104. Taiwan Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 105. Taiwan Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 106. Australia Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 107. Australia Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 108. Rest of Asia-Pacific Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 109. Rest of Asia-Pacific Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 110. Europe Rainfall and Runoff Software, by Country USD Million (2022-2027)
  • Table 111. Europe Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 112. Europe Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 113. Germany Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 114. Germany Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 115. France Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 116. France Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 117. Italy Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 118. Italy Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 119. United Kingdom Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 120. United Kingdom Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 121. Netherlands Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 122. Netherlands Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 123. Rest of Europe Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 124. Rest of Europe Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 125. MEA Rainfall and Runoff Software, by Country USD Million (2022-2027)
  • Table 126. MEA Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 127. MEA Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 128. Middle East Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 129. Middle East Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 130. Africa Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 131. Africa Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 132. North America Rainfall and Runoff Software, by Country USD Million (2022-2027)
  • Table 133. North America Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 134. North America Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 135. United States Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 136. United States Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 137. Canada Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 138. Canada Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 139. Mexico Rainfall and Runoff Software, by Deployment Type USD Million (2022-2027)
  • Table 140. Mexico Rainfall and Runoff Software, by Model Type USD Million (2022-2027)
  • Table 141. Research Programs/Design for This Report
  • Table 142. Key Data Information from Secondary Sources
  • Table 143. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Rainfall and Runoff Software: by Deployment Type USD Million (2016-2021)
  • Figure 5. Global Rainfall and Runoff Software: by Model Type USD Million (2016-2021)
  • Figure 6. South America Rainfall and Runoff Software Share (%), by Country
  • Figure 7. Asia Pacific Rainfall and Runoff Software Share (%), by Country
  • Figure 8. Europe Rainfall and Runoff Software Share (%), by Country
  • Figure 9. MEA Rainfall and Runoff Software Share (%), by Country
  • Figure 10. North America Rainfall and Runoff Software Share (%), by Country
  • Figure 11. Global Rainfall and Runoff Software share by Players 2021 (%)
  • Figure 12. Global Rainfall and Runoff Software share by Players (Top 3) 2021(%)
  • Figure 13. Global Rainfall and Runoff Software share by Players (Top 5) 2021(%)
  • Figure 14. BCG Matrix for key Companies
  • Figure 15. Esri (United States) Revenue, Net Income and Gross profit
  • Figure 16. Esri (United States) Revenue: by Geography 2021
  • Figure 17. Bentley Systems (United States) Revenue, Net Income and Gross profit
  • Figure 18. Bentley Systems (United States) Revenue: by Geography 2021
  • Figure 19. Autodesk (United States) Revenue, Net Income and Gross profit
  • Figure 20. Autodesk (United States) Revenue: by Geography 2021
  • Figure 21. DroneDeploy (United States) Revenue, Net Income and Gross profit
  • Figure 22. DroneDeploy (United States) Revenue: by Geography 2021
  • Figure 23. HydroCAD Software Solutions LLC (United States) Revenue, Net Income and Gross profit
  • Figure 24. HydroCAD Software Solutions LLC (United States) Revenue: by Geography 2021
  • Figure 25. BMT Group Ltd (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 26. BMT Group Ltd (United Kingdom) Revenue: by Geography 2021
  • Figure 27. WSP (Canada) Revenue, Net Income and Gross profit
  • Figure 28. WSP (Canada) Revenue: by Geography 2021
  • Figure 29. Atkins (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 30. Atkins (United Kingdom) Revenue: by Geography 2021
  • Figure 31. KISTERS AG (Germany) Revenue, Net Income and Gross profit
  • Figure 32. KISTERS AG (Germany) Revenue: by Geography 2021
  • Figure 33. Innovyze (United States) Revenue, Net Income and Gross profit
  • Figure 34. Innovyze (United States) Revenue: by Geography 2021
  • Figure 35. Global Rainfall and Runoff Software: by Deployment Type USD Million (2022-2027)
  • Figure 36. Global Rainfall and Runoff Software: by Model Type USD Million (2022-2027)
  • Figure 37. South America Rainfall and Runoff Software Share (%), by Country
  • Figure 38. Asia Pacific Rainfall and Runoff Software Share (%), by Country
  • Figure 39. Europe Rainfall and Runoff Software Share (%), by Country
  • Figure 40. MEA Rainfall and Runoff Software Share (%), by Country
  • Figure 41. North America Rainfall and Runoff Software Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Esri (United States)
  • Bentley Systems (United States)
  • Autodesk (United States)
  • DroneDeploy (United States)
  • HydroCAD Software Solutions LLC (United States)
  • BMT Group Ltd (United Kingdom)
  • WSP (Canada)
  • Atkins (United Kingdom)
  • KISTERS AG (Germany)
  • Innovyze (United States)
Select User Access Type

Key Highlights of Report


Feb 2023 242 Pages 62 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

Request Sample Pages

Budget constraints? Get in touch with us for special pricing


Check Discount Now
Global Rainfall and Runoff Software Market Quantitative research analysis
Global Rainfall and Runoff Software Market Qualitative Industry Analysis
DOWNLOAD SAMPLE PDF

Talk to Our Experts

Want to Customize Study?


"We employ Market statistics, Industry benchmarking, Patent analysis, and Technological Insights to derive requirements and provide customize scope of work."

Make an Enquiry Now

Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as Esri (United States), Bentley Systems (United States), Autodesk (United States), DroneDeploy (United States), HydroCAD Software Solutions LLC (United States), BMT Group Ltd (United Kingdom), WSP (Canada), Atkins (United Kingdom), KISTERS AG (Germany) and Innovyze (United States) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"The Evolution of Artificial Neural Network Using Real-Coded Genetic Algorithms in Rainfall-Runoff Software." is seen as one of major influencing trends for Rainfall and Runoff Software Market during projected period 2021-2027.
The Rainfall and Runoff Software market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

Know More About Global Rainfall and Runoff Software Market Report?

Have a Query? Click Here

Other Related Reports

Management Decision Solutions Comprehensive Study by Application (Credit Risk Management, Collection Management, Customer Experience Management, Fraud Detection Management, Pricing Optimization, Othe...
$ 3750
Codeless Testing Comprehensive Study by Application (API Testing, Mobile App, Desktop App, Web App), Components (Solution, Services), Industry Verticals (IT & Telecom, BFSI, Retail, Healthcare, Gover...
$ 3650
Indoor Positioning and Navigation Comprehensive Study by Type (Client-based, Server-based), Application (Indoor Navigation, Magnetic Positioning, Indoor Localization), Technology (Proximity-based Sys...
$ 3750
Web Accessibility Evaluation Tools Comprehensive Study by Type (Automation Evaluation Tools, Manual Evaluation Tools), Scale (Large Enterprises, Small and Medium Enterprises (SMEs)), End User (Websit...
$ 3350
Software Effector Comprehensive Study by Type (Distortion, Overload, Original Sound, Delay, Wow Sound, Others), Application (Record, Perform), Organisation Size (SMEs, Large Organisations), Deployme...
$ 3350
ERP and ECM Integration Comprehensive Study by Type (ERP, ECM), Application (Manufacturing, BFSI, Healthcare, Aerospace & Defense, Telecom, Others), Deployment Mode (Cloud-Based, On-Premises), Functi...
$ 3650