Selected research
Market Structure
Global AI in Disaster Prediction Market by Size, by Type, by Application, by Region, History and Forecast 2021-2032
Market perspective
The global AI in Disaster Prediction market was valued at US$ million in 2026 and is projected to reach US$ million by 2032, implying a CAGR of xx% over 2026-2032.
The US & Canada market for AI in Disaster Prediction is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
The Europe market for AI in Disaster Prediction is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
Read the full market overview
The Asia Pacific market for AI in Disaster Prediction is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
The China market for AI in Disaster Prediction is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
Leading global manufacturers of AI in Disaster Prediction include OroraTech, Spectee, NTT Corporation, LiXia, AI Property, One Concern, Zindi, Appier and Fujitsu, among others. In 2025, the top three vendors together accounted for approximately % of global revenue.
Report Includes
This report provides an overview of the global AI in Disaster Prediction market and its size, analyzing global market trends based on historical revenue data for 2021-2025, estimates for 2026, and projected CAGRs through 2032.
The study covers key producers of AI in Disaster Prediction and revenue in major regions and countries, assesses future market potential, and highlights priority regions and countries for segmenting the market into sub-sectors, with country-specific market value data for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, the Middle East, Africa, and other countries.
The report also presents AI in Disaster Prediction revenue, market share, and industry ranking for the main manufacturers for 2021-2026, identifies the major stakeholders in the global market, and analyzes their competitive landscape and market positioning based on recent developments and segmental revenues.
In addition, the report analyzes segment data by Type and Application—covering revenue and growth rates—for 2021-2032, and evaluates and forecasts the AI in Disaster Prediction market size, projected growth trends, production technologies, key applications, and end-use industries.
AI in Disaster Prediction Segment by Company
OroraTech
Spectee
NTT Corporation
LiXia
AI Property
One Concern
Zindi
Appier
Fujitsu
Sipremo
AI in Disaster Prediction Segment by Type
Machine Learning
Natural Language Processing
Computer Vision
Others
AI in Disaster Prediction Segment by Application
Wildfire Detection
Flood Forecasting
Earthquake Response
Others
AI in Disaster Prediction Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Colombia
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global status and future forecast, involving, production, value, consumption, growth rate (CAGR), market share, historical and forecast.
2. To present the key manufacturers, capacity, production, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI in Disaster Prediction market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of AI in Disaster Prediction and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI in Disaster Prediction.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. Revenue of AI in Disaster Prediction in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Analysis key trends, drivers, challenges, and opportunities within the global AI in Disaster Prediction industry.
Chapter 3: Detailed analysis of AI in Disaster Prediction companies' competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI in Disaster Predictionrevenue, gross margin, and recent development, etc.
Chapter 7: North America (US & Canada) by type, by application and by country, revenue for each segment.
Chapter 8: Europe by type, by application and by country, revenue for each segment.
Chapter 9: China by type, and by application, revenue for each segment.
Chapter 10: Asia (excluding China) by type, by application and by region, revenue for each segment.
Chapter 11: South America, Middle East & Africa by type, by application and by country, revenue for each segment.
Chapter 12: Concluding Insights of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Machine Learning
- Natural Language Processing
- Computer Vision
- Others
Applications
- Wildfire Detection
- Flood Forecasting
- Earthquake Response
- Others
Companies covered
- OroraTech
- Spectee
- NTT Corporation
- LiXia
- AI Property
- One Concern
- Zindi
- Appier
- Fujitsu
- Sipremo
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 Market Analysis by Type
- 1.2.1 Global AI in Disaster Prediction Market Size Growth Rate by Type: 2021 VS 2025 VS 2032
- 1.2.2 Machine Learning
- 1.2.3 Natural Language Processing
- 1.2.4 Computer Vision
- 1.2.5 Others
- 1.3 Market Analysis by Application
- 1.3.1 Global AI in Disaster Prediction Market Size Growth Rate by Application: 2021 VS 2025 VS 2032
- 1.3.2 Wildfire Detection
- 1.3.3 Flood Forecasting
- 1.3.4 Earthquake Response
- 1.3.5 Others
- 1.4 Global Market Growth Prospects
- 1.5 Global AI in Disaster Prediction Growth Trends by Region
- 1.5.1 Global AI in Disaster Prediction Market Size by Region: 2021 VS 2025 VS 2032
- 1.5.2 AI in Disaster Prediction Market Size by Region (2021-2026)
- 1.5.3 AI in Disaster Prediction Market Size by Region (2027-2032)
- 1.6 Assumptions and Limitations
- 1.7 Study Goals and Objectives
- 1.8 Years Considered
2 Global AI in Disaster Prediction Market Dynamics
- 2.1 AI in Disaster Prediction Industry Trends
- 2.2 AI in Disaster Prediction Industry Drivers
- 2.3 AI in Disaster Prediction Industry Opportunities and Challenges
- 2.4 AI in Disaster Prediction Industry Restraints
3 Competitive Landscape by Company
- 3.1 Global AI in Disaster Prediction Revenue by Company (2021-2026)
- 3.2 Global AI in Disaster Prediction Players Revenue Ranking, 2024 VS 2025 VS 2026
- 3.3 Global AI in Disaster Prediction Key Company Head office and Area Served
- 3.4 Global AI in Disaster Prediction Company, Product Type & Application
- 3.5 Global AI in Disaster Prediction Company Establishment Date
- 3.6 Market Competitive Analysis
- 3.6.1 Global AI in Disaster Prediction Market CR5 and HHI
- 3.6.2 Global Top 5 and 10 AI in Disaster Prediction Players Market Share by Revenue in 2025
- 3.6.3 2025 AI in Disaster Prediction Tier 1, Tier 2, and Tier 3
4 AI in Disaster Prediction Market by Type
- 4.1 Global AI in Disaster Prediction Market Size by Type (2021 VS 2025 VS 2032)
- 4.2 Global AI in Disaster Prediction Market Size by Type (2021-2032)
- 4.3 Global AI in Disaster Prediction Market Size Share by Type (2021-2032)
5 AI in Disaster Prediction Market by Application
- 5.1 Global AI in Disaster Prediction Market Size by Application (2021 VS 2025 VS 2032)
- 5.2 Global AI in Disaster Prediction Market Size by Application (2021-2032)
- 5.3 Global AI in Disaster Prediction Market Size Share by Application (2021-2032)
6 Company Profiles
- 6.1 OroraTech
- 6.1.1 OroraTech Company Information
- 6.1.2 OroraTech Business Overview
- 6.1.3 OroraTech AI in Disaster Prediction Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.1.4 OroraTech AI in Disaster Prediction Product Portfolio
- 6.1.5 OroraTech Recent Developments
- 6.2 Spectee
- 6.2.1 Spectee Company Information
- 6.2.2 Spectee Business Overview
- 6.2.3 Spectee AI in Disaster Prediction Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.2.4 Spectee AI in Disaster Prediction Product Portfolio
- 6.2.5 Spectee Recent Developments
- 6.3 NTT Corporation
- 6.3.1 NTT Corporation Company Information
- 6.3.2 NTT Corporation Business Overview
- 6.3.3 NTT Corporation AI in Disaster Prediction Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.3.4 NTT Corporation AI in Disaster Prediction Product Portfolio
- 6.3.5 NTT Corporation Recent Developments
- 6.4 LiXia
- 6.4.1 LiXia Company Information
- 6.4.2 LiXia Business Overview
- 6.4.3 LiXia AI in Disaster Prediction Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.4.4 LiXia AI in Disaster Prediction Product Portfolio
- 6.4.5 LiXia Recent Developments
- 6.5 AI Property
- 6.5.1 AI Property Company Information
- 6.5.2 AI Property Business Overview
- 6.5.3 AI Property AI in Disaster Prediction Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.5.4 AI Property AI in Disaster Prediction Product Portfolio
- 6.5.5 AI Property Recent Developments
- 6.6 One Concern
- 6.6.1 One Concern Company Information
- 6.6.2 One Concern Business Overview
- 6.6.3 One Concern AI in Disaster Prediction Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.6.4 One Concern AI in Disaster Prediction Product Portfolio
- 6.6.5 One Concern Recent Developments
- 6.7 Zindi
- 6.7.1 Zindi Company Information
- 6.7.2 Zindi Business Overview
- 6.7.3 Zindi AI in Disaster Prediction Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.7.4 Zindi AI in Disaster Prediction Product Portfolio
- 6.7.5 Zindi Recent Developments
- 6.8 Appier
- 6.8.1 Appier Company Information
- 6.8.2 Appier Business Overview
- 6.8.3 Appier AI in Disaster Prediction Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.8.4 Appier AI in Disaster Prediction Product Portfolio
- 6.8.5 Appier Recent Developments
- 6.9 Fujitsu
- 6.9.1 Fujitsu Company Information
- 6.9.2 Fujitsu Business Overview
- 6.9.3 Fujitsu AI in Disaster Prediction Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.9.4 Fujitsu AI in Disaster Prediction Product Portfolio
- 6.9.5 Fujitsu Recent Developments
- 6.10 Sipremo
- 6.10.1 Sipremo Company Information
- 6.10.2 Sipremo Business Overview
- 6.10.3 Sipremo AI in Disaster Prediction Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.10.4 Sipremo AI in Disaster Prediction Product Portfolio
- 6.10.5 Sipremo Recent Developments
7 North America
- 7.1 North America AI in Disaster Prediction Market Size (2021-2032)
- 7.2 North America AI in Disaster Prediction Market Size by Type
- 7.2.1 North America AI in Disaster Prediction Market Size by Type (2021-2026)
- 7.2.2 North America AI in Disaster Prediction Market Size by Type (2027-2032)
- 7.2.3 North America AI in Disaster Prediction Market Share by Type (2021-2032)
- 7.3 North America AI in Disaster Prediction Market Size by Application
- 7.3.1 North America AI in Disaster Prediction Market Size by Application (2021-2026)
- 7.3.2 North America AI in Disaster Prediction Market Size by Application (2027-2032)
- 7.3.3 North America AI in Disaster Prediction Market Share by Application (2021-2032)
- 7.4 North America AI in Disaster Prediction Market Size by Country
- 7.4.1 North America AI in Disaster Prediction Market Size by Country (2021 VS 2025 VS 2032)
- 7.4.2 North America AI in Disaster Prediction Market Size by Country (2021-2026)
- 7.4.3 North America AI in Disaster Prediction Market Size by Country (2027-2032)
- 7.4.4 North America AI in Disaster Prediction Market Share by Country (2021-2032)
- 7.4.5 United States
- 7.4.6 Canada
- 7.4.7 Mexico
8 Europe
- 8.1 Europe AI in Disaster Prediction Market Size (2021-2032)
- 8.2 Europe AI in Disaster Prediction Market Size by Type
- 8.2.1 Europe AI in Disaster Prediction Market Size by Type (2021-2026)
- 8.2.2 Europe AI in Disaster Prediction Market Size by Type (2027-2032)
- 8.2.3 Europe AI in Disaster Prediction Market Share by Type (2021-2032)
- 8.3 Europe AI in Disaster Prediction Market Size by Application
- 8.3.1 Europe AI in Disaster Prediction Market Size by Application (2021-2026)
- 8.3.2 Europe AI in Disaster Prediction Market Size by Application (2027-2032)
- 8.3.3 Europe AI in Disaster Prediction Market Share by Application (2021-2032)
- 8.4 Europe AI in Disaster Prediction Market Size by Country
- 8.4.1 Europe AI in Disaster Prediction Market Size by Country (2021 VS 2025 VS 2032)
- 8.4.2 Europe AI in Disaster Prediction Market Size by Country (2021-2026)
- 8.4.3 Europe AI in Disaster Prediction Market Size by Country (2027-2032)
- 8.4.4 Europe AI in Disaster Prediction Market Share by Country (2021-2032)
- 8.4.5 Germany
- 8.4.6 France
- 8.4.7 U.K.
- 8.4.8 Italy
- 8.4.9 Russia
- 8.4.10 Nordic Countries
9 China
- 9.1 China AI in Disaster Prediction Market Size (2021-2032)
- 9.2 China AI in Disaster Prediction Market Size by Type
- 9.2.1 China AI in Disaster Prediction Market Size by Type (2021-2026)
- 9.2.2 China AI in Disaster Prediction Market Size by Type (2027-2032)
- 9.2.3 China AI in Disaster Prediction Market Share by Type (2021-2032)
- 9.3 China AI in Disaster Prediction Market Size by Application
- 9.3.1 China AI in Disaster Prediction Market Size by Application (2021-2026)
- 9.3.2 China AI in Disaster Prediction Market Size by Application (2027-2032)
- 9.3.3 China AI in Disaster Prediction Market Share by Application (2021-2032)
10 Asia (Excluding China)
- 10.1 Asia AI in Disaster Prediction Market Size (2021-2032)
- 10.2 Asia AI in Disaster Prediction Market Size by Type
- 10.2.1 Asia AI in Disaster Prediction Market Size by Type (2021-2026)
- 10.2.2 Asia AI in Disaster Prediction Market Size by Type (2027-2032)
- 10.2.3 Asia AI in Disaster Prediction Market Share by Type (2021-2032)
- 10.3 Asia AI in Disaster Prediction Market Size by Application
- 10.3.1 Asia AI in Disaster Prediction Market Size by Application (2021-2026)
- 10.3.2 Asia AI in Disaster Prediction Market Size by Application (2027-2032)
- 10.3.3 Asia AI in Disaster Prediction Market Share by Application (2021-2032)
- 10.4 Asia AI in Disaster Prediction Market Size by Country
- 10.4.1 Asia AI in Disaster Prediction Market Size by Country (2021 VS 2025 VS 2032)
- 10.4.2 Asia AI in Disaster Prediction Market Size by Country (2021-2026)
- 10.4.3 Asia AI in Disaster Prediction Market Size by Country (2027-2032)
- 10.4.4 Asia AI in Disaster Prediction Market Share by Country (2021-2032)
- 10.4.5 Japan
- 10.4.6 South Korea
- 10.4.7 Taiwan
- 10.4.8 Southeast Asia
- 10.4.9 India
- 10.4.10 Australia
11 South America, Middle East & Africa
- 11.1 South America, Middle East & Africa AI in Disaster Prediction Market Size (2021-2032)
- 11.2 South America, Middle East & Africa AI in Disaster Prediction Market Size by Type
- 11.2.1 South America, Middle East & Africa AI in Disaster Prediction Market Size by Type (2021-2026)
- 11.2.2 South America, Middle East & Africa AI in Disaster Prediction Market Size by Type (2027-2032)
- 11.2.3 South America, Middle East & Africa AI in Disaster Prediction Market Share by Type (2021-2032)
- 11.3 South America, Middle East & Africa AI in Disaster Prediction Market Size by Application
- 11.3.1 South America, Middle East & Africa AI in Disaster Prediction Market Size by Application (2021-2026)
- 11.3.2 South America, Middle East & Africa AI in Disaster Prediction Market Size by Application (2027-2032)
- 11.3.3 South America, Middle East & Africa AI in Disaster Prediction Market Share by Application (2021-2032)
- 11.4 South America, Middle East & Africa AI in Disaster Prediction Market Size by Country
- 11.4.1 South America, Middle East & Africa AI in Disaster Prediction Market Size by Country (2021 VS 2025 VS 2032)
- 11.4.2 South America, Middle East & Africa AI in Disaster Prediction Market Size by Country (2021-2026)
- 11.4.3 South America, Middle East & Africa AI in Disaster Prediction Market Size by Country (2027-2032)
- 11.4.4 South America, Middle East & Africa AI in Disaster Prediction Market Share by Country (2021-2032)
- 11.4.5 Brazil
- 11.4.6 South Africa
- 11.4.7 Saudi Arabia
- 11.4.8 Turkey
- 11.4.9 Argentina
- 11.4.9 UAE
- 11.4.9 Egypt
- 11.4.9 Chile
12 Concluding Insights
13 Appendix
- 13.1 Reasons for Doing This Study
- 13.2 Research Methodology
- 13.3 Research Process
- 13.4 Authors List of This Report
- 13.5 Data Source
- 13.5.1 Secondary Sources
- 13.5.2 Primary Sources
- 13.6 Disclaimer
GET THE RESEARCH
Choose your license.
Choose who needs access.
All options are for this report and research series.
PDF by email within 3–5 working days after payment confirmation.
Talk to an analyst