Rating Engines Global Market Insights 2026, Analysis and Forecast to 2031
Description
Rating Engines Market Summary
The Rating Engines market has evolved from a back-office utility into the intellectual core of the modern digital financial services ecosystem. At its fundamental level, a rating engine is a sophisticated computational platform that translates complex risk variables, historical data, and business rules into precise, real-time pricing for products such as insurance policies and telecommunications plans. In 2026, the industry is defined by the shift from static table-based rating to dynamic, AI-driven decisioning. Leading research frameworks from the Boston Consulting Group (BCG) and McKinsey characterize this era as The Age of Hyper-Personalization, where rating engines must ingest streaming data from IoT devices, telematics, and social sentiment to adjust premiums instantaneously. No longer just a calculator, the modern rating engine acts as a strategic revenue engine, enabling companies to launch niche products in days rather than months.
The global Rating Engines market is estimated to reach a valuation of approximately USD 20.0–60.0 billion in 2025. Fueled by the SaaS-ification of core banking and insurance systems and the urgent need for carriers to modernize legacy infrastructure, the market is projected to expand at a compound annual growth rate (CAGR) of 5.0%–15.0% through 2030. This growth is significantly driven by the integration of Agentic AI, which allows rating engines to autonomously fine-tune pricing algorithms to maintain competitive positioning while preserving loss ratios.
Application Analysis and Market Segmentation
The application of rating engines is increasingly bifurcated by the complexity of the data environment and the required speed-to-market.
By Application
Large Enterprises: This segment represents the majority of market value, expanding at 6.0%–14.5% annually. For global insurers and tier-one telecommunications providers, the rating engine must handle millions of transactions per second across multi-national regulatory jurisdictions. These organizations utilize enterprise-grade suites to achieve Omnichannel Pricing Consistency, ensuring that a quote generated on a mobile app is identical to one provided by a broker or a direct-mail campaign.
Small and Medium Enterprises (SMEs): A high-growth niche, projected to expand at 7.5%–16.5% per year. The rise of InsurTech-in-a-Box solutions allows smaller MGA (Managing General Agents) and regional players to deploy sophisticated rating logic without the need for massive on-site IT teams. The trend here is toward Low-Code/No-Code interfaces that empower business underwriters to adjust rates without writing a single line of code.
By Deployment Model
Cloud-Based: The dominant force in the market, growing at 8.5%–17.5%. The industry-wide transition to Evergreen SaaS models (as noted by leaders like Guidewire and Duck Creek) ensures that rating engines are always updated with the latest regulatory changes and security patches.
Hybrid: Growing at 5.5%–12.0%. This model is preferred by organizations that wish to keep sensitive policyholder data on-premises for sovereignty reasons while leveraging the high-compute power of the cloud for intensive actuarial modeling and risk simulations.
On-Premises: Estimated to grow at a modest 1.5%–4.0%, primarily within legacy systems that are too critical—or too complex—to migrate in the immediate short term, though this segment is steadily losing share to cloud-native alternatives.
Regional Market Distribution and Geographic Trends
Geographic demand for rating technology is heavily influenced by the maturity of local digital economies and the prevailing regulatory stance on Usage-Based pricing.
North America: Projected annual growth of 5.5%–14.0%. As the most mature market, the U.S. and Canada are leading the shift toward Intelligent Insurance, where cloud, data, and AI converge. There is a profound focus on telematics-based auto insurance and catastrophe modeling for property insurance, requiring rating engines that can process massive geospatial datasets.
Europe: Estimated annual growth of 5.0%–13.0%. Driven by the UK, Germany, and France, the European market is shaped by strict solvency requirements and a high demand for Parametric Insurance (where rating is based on an index like weather rather than a subjective loss). European providers are increasingly adopting Privacy-First rating logic to comply with evolving digital ethics standards.
Asia-Pacific: The fastest-growing region, with a projected CAGR of 8.0%–18.5%. Led by China and India, the APAC region is leapfrogging legacy systems entirely, moving straight to mobile-first, AI-native core platforms. The rise of Embedded Insurance (insurance sold as a feature within other digital purchases) is driving a massive need for lightweight, API-first rating engines in this region.
Latin America and MEA: Projected growth of 4.5%–11.5%. Emerging hubs in Brazil, Mexico, and the GCC countries are investing in digital transformation to improve financial inclusion, with rating engines being used to price micro-insurance products for previously unbanked populations.
Key Market Players and Competitive Landscape
The competitive landscape is a mix of heritage Core System giants and agile, specialized Decisioning platforms.
Guidewire Software and Duck Creek Technologies: These two firms are the Cloud Leaders in the Property & Casualty (P&C) space. Guidewire’s InsuranceSuite is frequently cited for its Ability to Execute on complex enterprise transitions, while Duck Creek is noted for its Evergreen update model and low-code configuration capabilities, which significantly reduce speed-to-market for new products.
Majesco and Sapiens International: Majesco has established itself as a pioneer in AI-Native core systems, focusing on the strategic shift away from Zombie InsurTech toward sustainable, profit-driven platforms. Sapiens is a major challenger with a particularly strong presence in Europe and the Life & Annuity (L&A) segment.
EIS Group and Insurity: These players focus on Digital-First cloud architectures. EIS is highly regarded for its ability to unify multi-line operations (Life, Health, and P&C) onto a single rating and policy platform, while Insurity is a leader for MGAs and specialty insurers.
Specialized & Actuarial-Focused Players (Verisk, RGAx): Verisk Analytics provides the industry-standard data that many rating engines consume, while RGAx (the transformation engine of RGA) focuses on the Life and Health sectors, providing sophisticated rating logic for mortality and morbidity risks.
Niche Solutions (EZ-RATER, TurboRater): These providers cater primarily to the brokerage and agency market, offering fast, comparative rating tools that help agents provide multi-carrier quotes in minutes.
Industry Value Chain Analysis
The value chain of a rating engine is a sophisticated pipeline that transforms raw risk data into a marketable, profitable price point.
Data Ingestion and Enrichment (Upstream): The chain begins with Data Orchestration. Value is added by the engine's ability to ingest data from disparate sources—ranging from standard credit scores to real-time telematics and satellite imagery. Platforms that can pre-clean and normalize this data create a High-Fidelity foundation for pricing.
The Formula Engine (The Logic Layer): This is the core Brain. Value is generated here through the execution of complex actuarial formulas. Modern engines add value by allowing these formulas to be Modular—enabling an insurer to swap out a single risk factor (like Coastal Flood Risk) without rebuilding the entire product.
Underwriting and Regulatory Alignment: At this stage, the raw Rate is refined by business rules. Value is added by ensuring that the generated price complies with local state or national regulations and adheres to the firm’s specific Risk Appetite.
Distribution Integration and Execution: The Last Mile of the value chain. Value is realized when the rating engine communicates seamlessly via APIs with front-end portals, mobile apps, and third-party comparison sites, providing a Zero-Latency quote to the end customer.
Feedback and Iterative Learning (Downstream): The chain completes with a feedback loop. Modern engines analyze which quotes were accepted and which were rejected, feeding that data back into the Actuarial Engine to refine pricing for the next cycle, thus optimizing for both volume and profitability.
Market Opportunities and Challenges
Opportunities
The Parametric Revolution: There is a significant opportunity for rating engines to power Instant-Payout products. If a sensor detects a specific earthquake magnitude, the engine can instantaneously price and trigger a payout, bypassing traditional claims adjustments entirely.
Embedded Insurance and MaaF: The shift from Mobility-as-a-Service to Mobility-as-a-Feature (MaaF) allows insurance to be embedded directly into car-sharing or delivery apps. Rating engines that are Lightweight and API-First are perfectly positioned to capture this high-volume transaction market.
Predictive Loss Control: Leveraging AI to move from Reactive to Proactive insurance. Rating engines can now offer Dynamic Discounts to customers who exhibit safe behaviors in real-time (e.g., safe driving or installing smart-leak detectors in homes).
Challenges
The Legacy Debt Bottleneck: Many large insurers are still operating on 30-year-old COBOL-based mainframes. The Integration Friction between a modern, agile rating engine and a brittle, legacy core system remains the single biggest hurdle to market adoption.
Explainability vs. Complexity: As AI models become more Black-Box in nature, regulators are demanding Explainable AI. Rating engine providers must find a balance between the predictive power of deep learning and the transparency required to prove to a regulator why a certain premium was charged.
Data Sovereignity and Geo-Politics: With the rise of national data localization laws, global vendors face increasing complexity in maintaining a Single Global Codebase. They must often build local data centers or region-specific versions of their software to comply with sovereignty mandates.
The Rating Engines market has evolved from a back-office utility into the intellectual core of the modern digital financial services ecosystem. At its fundamental level, a rating engine is a sophisticated computational platform that translates complex risk variables, historical data, and business rules into precise, real-time pricing for products such as insurance policies and telecommunications plans. In 2026, the industry is defined by the shift from static table-based rating to dynamic, AI-driven decisioning. Leading research frameworks from the Boston Consulting Group (BCG) and McKinsey characterize this era as The Age of Hyper-Personalization, where rating engines must ingest streaming data from IoT devices, telematics, and social sentiment to adjust premiums instantaneously. No longer just a calculator, the modern rating engine acts as a strategic revenue engine, enabling companies to launch niche products in days rather than months.
The global Rating Engines market is estimated to reach a valuation of approximately USD 20.0–60.0 billion in 2025. Fueled by the SaaS-ification of core banking and insurance systems and the urgent need for carriers to modernize legacy infrastructure, the market is projected to expand at a compound annual growth rate (CAGR) of 5.0%–15.0% through 2030. This growth is significantly driven by the integration of Agentic AI, which allows rating engines to autonomously fine-tune pricing algorithms to maintain competitive positioning while preserving loss ratios.
Application Analysis and Market Segmentation
The application of rating engines is increasingly bifurcated by the complexity of the data environment and the required speed-to-market.
By Application
Large Enterprises: This segment represents the majority of market value, expanding at 6.0%–14.5% annually. For global insurers and tier-one telecommunications providers, the rating engine must handle millions of transactions per second across multi-national regulatory jurisdictions. These organizations utilize enterprise-grade suites to achieve Omnichannel Pricing Consistency, ensuring that a quote generated on a mobile app is identical to one provided by a broker or a direct-mail campaign.
Small and Medium Enterprises (SMEs): A high-growth niche, projected to expand at 7.5%–16.5% per year. The rise of InsurTech-in-a-Box solutions allows smaller MGA (Managing General Agents) and regional players to deploy sophisticated rating logic without the need for massive on-site IT teams. The trend here is toward Low-Code/No-Code interfaces that empower business underwriters to adjust rates without writing a single line of code.
By Deployment Model
Cloud-Based: The dominant force in the market, growing at 8.5%–17.5%. The industry-wide transition to Evergreen SaaS models (as noted by leaders like Guidewire and Duck Creek) ensures that rating engines are always updated with the latest regulatory changes and security patches.
Hybrid: Growing at 5.5%–12.0%. This model is preferred by organizations that wish to keep sensitive policyholder data on-premises for sovereignty reasons while leveraging the high-compute power of the cloud for intensive actuarial modeling and risk simulations.
On-Premises: Estimated to grow at a modest 1.5%–4.0%, primarily within legacy systems that are too critical—or too complex—to migrate in the immediate short term, though this segment is steadily losing share to cloud-native alternatives.
Regional Market Distribution and Geographic Trends
Geographic demand for rating technology is heavily influenced by the maturity of local digital economies and the prevailing regulatory stance on Usage-Based pricing.
North America: Projected annual growth of 5.5%–14.0%. As the most mature market, the U.S. and Canada are leading the shift toward Intelligent Insurance, where cloud, data, and AI converge. There is a profound focus on telematics-based auto insurance and catastrophe modeling for property insurance, requiring rating engines that can process massive geospatial datasets.
Europe: Estimated annual growth of 5.0%–13.0%. Driven by the UK, Germany, and France, the European market is shaped by strict solvency requirements and a high demand for Parametric Insurance (where rating is based on an index like weather rather than a subjective loss). European providers are increasingly adopting Privacy-First rating logic to comply with evolving digital ethics standards.
Asia-Pacific: The fastest-growing region, with a projected CAGR of 8.0%–18.5%. Led by China and India, the APAC region is leapfrogging legacy systems entirely, moving straight to mobile-first, AI-native core platforms. The rise of Embedded Insurance (insurance sold as a feature within other digital purchases) is driving a massive need for lightweight, API-first rating engines in this region.
Latin America and MEA: Projected growth of 4.5%–11.5%. Emerging hubs in Brazil, Mexico, and the GCC countries are investing in digital transformation to improve financial inclusion, with rating engines being used to price micro-insurance products for previously unbanked populations.
Key Market Players and Competitive Landscape
The competitive landscape is a mix of heritage Core System giants and agile, specialized Decisioning platforms.
Guidewire Software and Duck Creek Technologies: These two firms are the Cloud Leaders in the Property & Casualty (P&C) space. Guidewire’s InsuranceSuite is frequently cited for its Ability to Execute on complex enterprise transitions, while Duck Creek is noted for its Evergreen update model and low-code configuration capabilities, which significantly reduce speed-to-market for new products.
Majesco and Sapiens International: Majesco has established itself as a pioneer in AI-Native core systems, focusing on the strategic shift away from Zombie InsurTech toward sustainable, profit-driven platforms. Sapiens is a major challenger with a particularly strong presence in Europe and the Life & Annuity (L&A) segment.
EIS Group and Insurity: These players focus on Digital-First cloud architectures. EIS is highly regarded for its ability to unify multi-line operations (Life, Health, and P&C) onto a single rating and policy platform, while Insurity is a leader for MGAs and specialty insurers.
Specialized & Actuarial-Focused Players (Verisk, RGAx): Verisk Analytics provides the industry-standard data that many rating engines consume, while RGAx (the transformation engine of RGA) focuses on the Life and Health sectors, providing sophisticated rating logic for mortality and morbidity risks.
Niche Solutions (EZ-RATER, TurboRater): These providers cater primarily to the brokerage and agency market, offering fast, comparative rating tools that help agents provide multi-carrier quotes in minutes.
Industry Value Chain Analysis
The value chain of a rating engine is a sophisticated pipeline that transforms raw risk data into a marketable, profitable price point.
Data Ingestion and Enrichment (Upstream): The chain begins with Data Orchestration. Value is added by the engine's ability to ingest data from disparate sources—ranging from standard credit scores to real-time telematics and satellite imagery. Platforms that can pre-clean and normalize this data create a High-Fidelity foundation for pricing.
The Formula Engine (The Logic Layer): This is the core Brain. Value is generated here through the execution of complex actuarial formulas. Modern engines add value by allowing these formulas to be Modular—enabling an insurer to swap out a single risk factor (like Coastal Flood Risk) without rebuilding the entire product.
Underwriting and Regulatory Alignment: At this stage, the raw Rate is refined by business rules. Value is added by ensuring that the generated price complies with local state or national regulations and adheres to the firm’s specific Risk Appetite.
Distribution Integration and Execution: The Last Mile of the value chain. Value is realized when the rating engine communicates seamlessly via APIs with front-end portals, mobile apps, and third-party comparison sites, providing a Zero-Latency quote to the end customer.
Feedback and Iterative Learning (Downstream): The chain completes with a feedback loop. Modern engines analyze which quotes were accepted and which were rejected, feeding that data back into the Actuarial Engine to refine pricing for the next cycle, thus optimizing for both volume and profitability.
Market Opportunities and Challenges
Opportunities
The Parametric Revolution: There is a significant opportunity for rating engines to power Instant-Payout products. If a sensor detects a specific earthquake magnitude, the engine can instantaneously price and trigger a payout, bypassing traditional claims adjustments entirely.
Embedded Insurance and MaaF: The shift from Mobility-as-a-Service to Mobility-as-a-Feature (MaaF) allows insurance to be embedded directly into car-sharing or delivery apps. Rating engines that are Lightweight and API-First are perfectly positioned to capture this high-volume transaction market.
Predictive Loss Control: Leveraging AI to move from Reactive to Proactive insurance. Rating engines can now offer Dynamic Discounts to customers who exhibit safe behaviors in real-time (e.g., safe driving or installing smart-leak detectors in homes).
Challenges
The Legacy Debt Bottleneck: Many large insurers are still operating on 30-year-old COBOL-based mainframes. The Integration Friction between a modern, agile rating engine and a brittle, legacy core system remains the single biggest hurdle to market adoption.
Explainability vs. Complexity: As AI models become more Black-Box in nature, regulators are demanding Explainable AI. Rating engine providers must find a balance between the predictive power of deep learning and the transparency required to prove to a regulator why a certain premium was charged.
Data Sovereignity and Geo-Politics: With the rise of national data localization laws, global vendors face increasing complexity in maintaining a Single Global Codebase. They must often build local data centers or region-specific versions of their software to comply with sovereignty mandates.
Table of Contents
100 Pages
- Chapter 1 Executive Summary
- Chapter 2 Abbreviation and Acronyms
- Chapter 3 Preface
- 3.1 Research Scope
- 3.2 Research Sources
- 3.2.1 Data Sources
- 3.2.2 Assumptions
- 3.3 Research Method
- Chapter Four Market Landscape
- 4.1 Market Overview
- 4.2 Classification/Types
- 4.3 Application/End Users
- Chapter 5 Market Trend Analysis
- 5.1 Introduction
- 5.2 Drivers
- 5.3 Restraints
- 5.4 Opportunities
- 5.5 Threats
- Chapter 6 Industry Chain Analysis
- 6.1 Upstream/Suppliers Analysis
- 6.2 Rating Engines Analysis
- 6.2.1 Technology Analysis
- 6.2.2 Cost Analysis
- 6.2.3 Market Channel Analysis
- 6.3 Downstream Buyers/End Users
- Chapter 7 Latest Market Dynamics
- 7.1 Latest News
- 7.2 Merger and Acquisition
- 7.3 Planned/Future Project
- 7.4 Policy Dynamics
- Chapter 8 Historical and Forecast Rating Engines Market in North America (2021-2031)
- 8.1 Rating Engines Market Size
- 8.2 Rating Engines Market by End Use
- 8.3 Competition by Players/Suppliers
- 8.4 Rating Engines Market Size by Type
- 8.5 Key Countries Analysis
- 8.5.1 United States
- 8.5.2 Canada
- 9.5.3 Mexico
- Chapter 9 Historical and Forecast Rating Engines Market in South America (2021-2031)
- 9.1 Rating Engines Market Size
- 9.2 Rating Engines Market by End Use
- 9.3 Competition by Players/Suppliers
- 9.4 Rating Engines Market Size by Type
- 9.5 Key Countries Analysis
- Chapter 10 Historical and Forecast Rating Engines Market in Asia & Pacific (2021-2031)
- 10.1 Rating Engines Market Size
- 10.2 Rating Engines Market by End Use
- 10.3 Competition by Players/Suppliers
- 10.4 Rating Engines Market Size by Type
- 10.5 Key Countries Analysis
- 10.5.1 China
- 10.5.2 India
- 10.5.3 Japan
- 10.5.4 South Korea
- 10.5.5 Southest Asia
- 10.5.6 Australia & New Zealand
- Chapter 11 Historical and Forecast Rating Engines Market in Europe (2021-2031)
- 11.1 Rating Engines Market Size
- 11.2 Rating Engines Market by End Use
- 11.3 Competition by Players/Suppliers
- 11.4 Rating Engines Market Size by Type
- 11.5 Key Countries Analysis
- 11.5.1 Germany
- 11.5.2 France
- 11.5.3 United Kingdom
- 11.5.4 Italy
- 11.5.5 Spain
- 11.5.6 Belgium
- 11.5.7 Netherlands
- 11.5.8 Austria
- 11.5.9 Poland
- 11.5.10 Northern Europe
- Chapter 12 Historical and Forecast Rating Engines Market in MEA (2021-2031)
- 12.1 Rating Engines Market Size
- 12.2 Rating Engines Market by End Use
- 12.3 Competition by Players/Suppliers
- 12.4 Rating Engines Market Size by Type
- 12.5 Key Countries Analysis
- Chapter 13 Summary For Global Rating Engines Market (2021-2026)
- 13.1 Rating Engines Market Size
- 13.2 Rating Engines Market by End Use
- 13.3 Competition by Players/Suppliers
- 13.4 Rating Engines Market Size by Type
- Chapter 14 Global Rating Engines Market Forecast (2026-2031)
- 14.1 Rating Engines Market Size Forecast
- 14.2 Rating Engines Application Forecast
- 14.3 Competition by Players/Suppliers
- 14.4 Rating Engines Type Forecast
- Chapter 15 Analysis of Global Key Vendors
- 15.1 Guidewire Software
- 15.1.1 Company Profile
- 15.1.2 Main Business and Rating Engines Information
- 15.1.3 SWOT Analysis of Guidewire Software
- 15.1.4 Guidewire Software Rating Engines Revenue, Gross Margin and Market Share (2021-2026)
- 15.2 Inc.
- 15.2.1 Company Profile
- 15.2.2 Main Business and Rating Engines Information
- 15.2.3 SWOT Analysis of Inc.
- 15.2.4 Inc. Rating Engines Revenue, Gross Margin and Market Share (2021-2026)
- 15.3 Duck Creek Technologies
- 15.3.1 Company Profile
- 15.3.2 Main Business and Rating Engines Information
- 15.3.3 SWOT Analysis of Duck Creek Technologies
- 15.3.4 Duck Creek Technologies Rating Engines Revenue, Gross Margin and Market Share (2021-2026)
- 15.4 Majesco
- 15.4.1 Company Profile
- 15.4.2 Main Business and Rating Engines Information
- 15.4.3 SWOT Analysis of Majesco
- 15.4.4 Majesco Rating Engines Revenue, Gross Margin and Market Share (2021-2026)
- 15.5 OneShield
- 15.5.1 Company Profile
- 15.5.2 Main Business and Rating Engines Information
- 15.5.3 SWOT Analysis of OneShield
- 15.5.4 OneShield Rating Engines Revenue, Gross Margin and Market Share (2021-2026)
- 15.6 Sapiens International Corporation
- 15.6.1 Company Profile
- 15.6.2 Main Business and Rating Engines Information
- 15.6.3 SWOT Analysis of Sapiens International Corporation
- 15.6.4 Sapiens International Corporation Rating Engines Revenue, Gross Margin and Market Share (2021-2026)
- 15.7 EIS Group
- 15.7.1 Company Profile
- 15.7.2 Main Business and Rating Engines Information
- 15.7.3 SWOT Analysis of EIS Group
- 15.7.4 EIS Group Rating Engines Revenue, Gross Margin and Market Share (2021-2026)
- 15.8 Insurity
- 15.8.1 Company Profile
- 15.8.2 Main Business and Rating Engines Information
- 15.8.3 SWOT Analysis of Insurity
- 15.8.4 Insurity Rating Engines Revenue, Gross Margin and Market Share (2021-2026)
- 15.9 Verisk Analytics
- 15.9.1 Company Profile
- 15.9.2 Main Business and Rating Engines Information
- 15.9.3 SWOT Analysis of Verisk Analytics
- 15.9.4 Verisk Analytics Rating Engines Revenue, Gross Margin and Market Share (2021-2026)
- Please ask for sample pages for full companies list
- Tables and Figures
- Table Abbreviation and Acronyms
- Table Research Scope of Rating Engines Report
- Table Data Sources of Rating Engines Report
- Table Major Assumptions of Rating Engines Report
- Figure Market Size Estimated Method
- Figure Major Forecasting Factors
- Figure Rating Engines Picture
- Table Rating Engines Classification
- Table Rating Engines Applications
- Table Drivers of Rating Engines Market
- Table Restraints of Rating Engines Market
- Table Opportunities of Rating Engines Market
- Table Threats of Rating Engines Market
- Table Raw Materials Suppliers
- Table Different Production Methods of Rating Engines
- Table Cost Structure Analysis of Rating Engines
- Table Key End Users
- Table Latest News of Rating Engines Market
- Table Merger and Acquisition
- Table Planned/Future Project of Rating Engines Market
- Table Policy of Rating Engines Market
- Table 2021-2031 North America Rating Engines Market Size
- Figure 2021-2031 North America Rating Engines Market Size and CAGR
- Table 2021-2031 North America Rating Engines Market Size by Application
- Table 2021-2026 North America Rating Engines Key Players Revenue
- Table 2021-2026 North America Rating Engines Key Players Market Share
- Table 2021-2031 North America Rating Engines Market Size by Type
- Table 2021-2031 United States Rating Engines Market Size
- Table 2021-2031 Canada Rating Engines Market Size
- Table 2021-2031 Mexico Rating Engines Market Size
- Table 2021-2031 South America Rating Engines Market Size
- Figure 2021-2031 South America Rating Engines Market Size and CAGR
- Table 2021-2031 South America Rating Engines Market Size by Application
- Table 2021-2026 South America Rating Engines Key Players Revenue
- Table 2021-2026 South America Rating Engines Key Players Market Share
- Table 2021-2031 South America Rating Engines Market Size by Type
- Table 2021-2031 Asia & Pacific Rating Engines Market Size
- Figure 2021-2031 Asia & Pacific Rating Engines Market Size and CAGR
- Table 2021-2031 Asia & Pacific Rating Engines Market Size by Application
- Table 2021-2026 Asia & Pacific Rating Engines Key Players Revenue
- Table 2021-2026 Asia & Pacific Rating Engines Key Players Market Share
- Table 2021-2031 Asia & Pacific Rating Engines Market Size by Type
- Table 2021-2031 China Rating Engines Market Size
- Table 2021-2031 India Rating Engines Market Size
- Table 2021-2031 Japan Rating Engines Market Size
- Table 2021-2031 South Korea Rating Engines Market Size
- Table 2021-2031 Southeast Asia Rating Engines Market Size
- Table 2021-2031 Australia & New Zealand Rating Engines Market Size
- Table 2021-2031 Europe Rating Engines Market Size
- Figure 2021-2031 Europe Rating Engines Market Size and CAGR
- Table 2021-2031 Europe Rating Engines Market Size by Application
- Table 2021-2026 Europe Rating Engines Key Players Revenue
- Table 2021-2026 Europe Rating Engines Key Players Market Share
- Table 2021-2031 Europe Rating Engines Market Size by Type
- Table 2021-2031 Germany Rating Engines Market Size
- Table 2021-2031 France Rating Engines Market Size
- Table 2021-2031 United Kingdom Rating Engines Market Size
- Table 2021-2031 Italy Rating Engines Market Size
- Table 2021-2031 Spain Rating Engines Market Size
- Table 2021-2031 Belgium Rating Engines Market Size
- Table 2021-2031 Netherlands Rating Engines Market Size
- Table 2021-2031 Austria Rating Engines Market Size
- Table 2021-2031 Poland Rating Engines Market Size
- Table 2021-2031 Northern Europe Rating Engines Market Size
- Table 2021-2031 MEA Rating Engines Market Size
- Figure 2021-2031 MEA Rating Engines Market Size and CAGR
- Table 2021-2031 MEA Rating Engines Market Size by Application
- Table 2021-2026 MEA Rating Engines Key Players Revenue
- Table 2021-2026 MEA Rating Engines Key Players Market Share
- Table 2021-2031 MEA Rating Engines Market Size by Type
- Table 2021-2026 Global Rating Engines Market Size by Region
- Table 2021-2026 Global Rating Engines Market Size Share by Region
- Table 2021-2026 Global Rating Engines Market Size by Application
- Table 2021-2026 Global Rating Engines Market Share by Application
- Table 2021-2026 Global Rating Engines Key Vendors Revenue
- Figure 2021-2026 Global Rating Engines Market Size and Growth Rate
- Table 2021-2026 Global Rating Engines Key Vendors Market Share
- Table 2021-2026 Global Rating Engines Market Size by Type
- Table 2021-2026 Global Rating Engines Market Share by Type
- Table 2026-2031 Global Rating Engines Market Size by Region
- Table 2026-2031 Global Rating Engines Market Size Share by Region
- Table 2026-2031 Global Rating Engines Market Size by Application
- Table 2026-2031 Global Rating Engines Market Share by Application
- Table 2026-2031 Global Rating Engines Key Vendors Revenue
- Figure 2026-2031 Global Rating Engines Market Size and Growth Rate
- Table 2026-2031 Global Rating Engines Key Vendors Market Share
- Table 2026-2031 Global Rating Engines Market Size by Type
- Table 2026-2031 Rating Engines Global Market Share by Type
- Table Guidewire Software Information
- Table SWOT Analysis of Guidewire Software
- Table 2021-2026 Guidewire Software Rating Engines Revenue Gross Profit Margin
- Figure 2021-2026 Guidewire Software Rating Engines Revenue and Growth Rate
- Figure 2021-2026 Guidewire Software Rating Engines Market Share
- Table Inc. Information
- Table SWOT Analysis of Inc.
- Table 2021-2026 Inc. Rating Engines Revenue Gross Profit Margin
- Figure 2021-2026 Inc. Rating Engines Revenue and Growth Rate
- Figure 2021-2026 Inc. Rating Engines Market Share
- Table Duck Creek Technologies Information
- Table SWOT Analysis of Duck Creek Technologies
- Table 2021-2026 Duck Creek Technologies Rating Engines Revenue Gross Profit Margin
- Figure 2021-2026 Duck Creek Technologies Rating Engines Revenue and Growth Rate
- Figure 2021-2026 Duck Creek Technologies Rating Engines Market Share
- Table Majesco Information
- Table SWOT Analysis of Majesco
- Table 2021-2026 Majesco Rating Engines Revenue Gross Profit Margin
- Figure 2021-2026 Majesco Rating Engines Revenue and Growth Rate
- Figure 2021-2026 Majesco Rating Engines Market Share
- Table OneShield Information
- Table SWOT Analysis of OneShield
- Table 2021-2026 OneShield Rating Engines Revenue Gross Profit Margin
- Figure 2021-2026 OneShield Rating Engines Revenue and Growth Rate
- Figure 2021-2026 OneShield Rating Engines Market Share
- Table Sapiens International Corporation Information
- Table SWOT Analysis of Sapiens International Corporation
- Table 2021-2026 Sapiens International Corporation Rating Engines Revenue Gross Profit Margin
- Figure 2021-2026 Sapiens International Corporation Rating Engines Revenue and Growth Rate
- Figure 2021-2026 Sapiens International Corporation Rating Engines Market Share
- Table EIS Group Information
- Table SWOT Analysis of EIS Group
- Table 2021-2026 EIS Group Rating Engines Revenue Gross Profit Margin
- Figure 2021-2026 EIS Group Rating Engines Revenue and Growth Rate
- Figure 2021-2026 EIS Group Rating Engines Market Share
- Table Insurity Information
- Table SWOT Analysis of Insurity
- Table 2021-2026 Insurity Rating Engines Revenue Gross Profit Margin
- Figure 2021-2026 Insurity Rating Engines Revenue and Growth Rate
- Figure 2021-2026 Insurity Rating Engines Market Share
- Table Verisk Analytics Information
- Table SWOT Analysis of Verisk Analytics
- Table 2021-2026 Verisk Analytics Rating Engines Revenue Gross Profit Margin
- Figure 2021-2026 Verisk Analytics Rating Engines Revenue and Growth Rate
- Figure 2021-2026 Verisk Analytics Rating Engines Market Share
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