保険分析市場レポート：2030年までの動向、予測、競合分析

保険分析の動向と予測

世界の保険分析市場は、2024年から2030年までのCAGRが15.5%で、2030年までに推定233億米ドルに達すると予測されます。この市場の主な促進要因は、ビッグデータと予測モデリング能力のニーズの高まり、AIやデータ分析のような先進技術の採用増加です。世界の保険分析市場の将来は、保険金請求管理、リスク管理、顧客管理とパーソナライゼーション、プロセス最適化の各市場における機会で有望視されています。

セグメント別保険分析

この調査には、世界の保険分析のコンポーネント別、組織規模別、用途別、最終用途別、地域別の予測が含まれています。

保険分析市場の洞察

Lucintel社は、コンプライアンスや政府規制の重視が高まっていることから、予測期間中、ツールはより大きなセグメントであり続けると予測しています。

保険会社が特定の信用格付けを維持し、資本を効果的に管理することを可能にすることから、この市場の中ではリスク管理が最大のセグメントであり続けると思われます。

アジア太平洋地域は、クラウド導入の拡大と急速なデジタル化により、予測期間中最も高い成長が見込まれています。

よくある質問

Q1. 市場規模は：

A1. 世界の保険分析市場は、2030年までに推定233億米ドルに達すると予想されています。

Q2. 市場の成長予測は：

A2. 世界の保険分析市場は、2024年から2030年にかけて15.5%のCAGRで成長すると予測されます。

Q3. 市場の成長に影響を与える主な促進要因は：

A3. この市場の主な促進要因は、ビッグデータと予測モデリング能力に対するニーズの高まりと、AIやデータ分析のような先進技術の採用増加です。

Q4. 市場の主要セグメントは：

A4. 保険分析市場の将来は、保険金請求管理、リスク管理、顧客管理とパーソナライゼーション、プロセス最適化の各市場における機会により有望視されます。

Q5. 市場の主要企業は：

A5. 主な保険分析企業は以下の通りです：

• IBM
• Salesforce
• Oracle
• Microsoft
• Sapiens
• OpenText
• SAP

Q6. 今後、最大となる市場セグメントは：

A6. Lucintelは、予測期間中、コンプライアンスや政府規制の重視の高まりにより、ツールはより大きなセグメントであり続けると予測しています。

Q7. 市場において、今後5年間に最大になると予想される地域は：

A7. アジア太平洋地域は、クラウド導入の拡大と急速なデジタル化により、予測期間中最も高い成長が見込まれます。

Q8. レポートのカスタマイズは可能か：

A8. はい、Lucintelは追加費用なしで10％のカスタマイズを提供します。

目次

第1章 エグゼクティブサマリー

第2章 世界の保険分析市場：市場力学

• イントロダクション、背景、分類
• サプライチェーン
• 業界の促進要因と課題

第3章 2018年から2030年までの市場動向と予測分析

• マクロ経済動向（2018～2023年）と予測（2024～2030年）
• 世界の保険分析市場の動向（2018～2023年）と予測（2024～2030年）
• 世界の保険分析市場（コンポーネント別）
  • ツール
  • サービス
• 組織規模別世界保険分析市場
  • 大企業
  • 中小企業
• 用途別世界保険分析市場
  • 保険金請求管理
  • リスク管理
  • 顧客管理とパーソナライゼーション
  • プロセス最適化
  • その他
• 最終用途別世界保険分析市場
  • 保険会社
  • 政府機関
  • サードパーティの管理者、ブローカー、コンサルタント

第4章 2018年から2030年までの地域別市場動向と予測分析

• 地域別世界保険分析市場
• 北米保険分析市場
• 欧州保険分析市場
• アジア太平洋保険分析市場
• その他地域保険分析市場

第5章 競合分析

• 製品ポートフォリオ分析
• 運用統合
• ポーターのファイブフォース分析

第6章 成長機会と戦略分析

• 成長機会分析
  • 世界の保険分析市場におけるコンポーネント別の成長機会
  • 組織規模別の世界の保険分析市場の成長機会
  • 用途別の世界の保険分析市場の成長機会
  • 最終用途別世界の保険分析市場の成長機会
  • 地域別の世界の保険分析市場の成長機会
• 世界の保険分析市場の新たな動向
• 戦略分析
  • 新製品の開発
  • 世界の保険分析市場の能力拡大
  • 世界の保険分析市場における合併、買収、合弁事業
  • 認証とライセンシング

第7章 主要企業の企業プロファイル

• IBM
• Salesforce
• Oracle
• Microsoft
• Sapiens
• OpenText
• SAP

Insurance Analytic Trends and Forecast

The future of the global insurance analytic market looks promising with opportunities in the claim management, risk management, customer management and personalization, and process optimization markets. The global insurance analytic market is expected to reach an estimated $23.3 billion by 2030 with a CAGR of 15.5% from 2024 to 2030. The major drivers for this market are increasing need of big data and predictive modeling capability and increase in adoption of advanced technologies like AI and data analytics.

A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.

Insurance Analytic by Segment

The study includes a forecast for the global insurance analytic by component, organization size, application, end use, and region.

Insurance Analytic Market by Component [Shipment Analysis by Value from 2018 to 2030]:

• Tools
• Services

Insurance Analytic Market by Organization Size [Shipment Analysis by Value from 2018 to 2030]:

• Large Enterprises
• SMEs

Insurance Analytic Market by Application [Shipment Analysis by Value from 2018 to 2030]:

• Claims Management
• Risk Management
• Customer Management and Personalization
• Process Optimization
• Others

Insurance Analytic Market by End Use [Shipment Analysis by Value from 2018 to 2030]:

• Insurance Companies
• Government Agencies
• Third-Party Administrators, Brokers and Consultancies

Insurance Analytic Market by Region [Shipment Analysis by Value from 2018 to 2030]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

List of Insurance Analytic Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies insurance analytic companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the insurance analytic companies profiled in this report include-

• IBM
• Salesforce
• Oracle
• Microsoft
• Sapiens
• OpenText
• SAP

Insurance Analytic Market Insights

Lucintel forecasts that tool will remain larger segment over the forecast period due to increasing emphasis on compliance as well as government regulations.

Within this market, risk management will remain the largest segment as it enables insurers to uphold specific credit ratings and effectively manage capital.

APAC is expected to witness the highest growth over the forecast period due to growing cloud adoption and rapid digitalization in the region.

Features of the Global Insurance Analytic Market

Market Size Estimates: Insurance analytic market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Insurance analytic market size by various segments, such as by component, organization size, application, end use, and region in terms of value ($B).

Regional Analysis: Insurance analytic market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different components, organization size, applications, end uses, and regions for the insurance analytic market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the insurance analytic market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q1. What is the insurance analytic market size?

Answer: The global insurance analytic market is expected to reach an estimated $23.3 billion by 2030.

Q2. What is the growth forecast for insurance analytic market?

Answer: The global insurance analytic market is expected to grow with a CAGR of 15.5% from 2024 to 2030.

Q3. What are the major drivers influencing the growth of the insurance analytic market?

Answer: The major drivers for this market are increasing need of big data and predictive modeling capability and increase in adoption of advanced technologies like AI and data analytics.

Q4. What are the major segments for insurance analytic market?

Answer: The future of the insurance analytic market looks promising with opportunities in the claim management, risk management, customer management and personalization, and process optimization markets.

Q5. Who are the key insurance analytic market companies?

Answer: Some of the key insurance analytic companies are as follows:

• IBM
• Salesforce
• Oracle
• Microsoft
• Sapiens
• OpenText
• SAP

Q6. Which insurance analytic market segment will be the largest in future?

Answer: Lucintel forecasts that tool will remain larger segment over the forecast period due to increasing emphasis on compliance as well as government regulations.

Q7. In insurance analytic market, which region is expected to be the largest in next 5 years?

Answer: APAC is expected to witness the highest growth over the forecast period due to growing cloud adoption and rapid digitalization in the region.

Q.8 Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the insurance analytic market by component (tools and services), organization size (large enterprises and SMEs), application (claims management, risk management, customer management and personalization, process optimization, and others), end use (insurance companies, government agencies, and third-party administrators, brokers and consultancies), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Insurance Analytic Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

• 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
• 3.2. Global Insurance Analytic Market Trends (2018-2023) and Forecast (2024-2030)
• 3.3: Global Insurance Analytic Market by Component
  • 3.3.1: Tools
  • 3.3.2: Services
• 3.4: Global Insurance Analytic Market by Organization Size
  • 3.4.1: Large Enterprises
  • 3.4.2: SMEs
• 3.5: Global Insurance Analytic Market by Application
  • 3.5.1: Claims Management
  • 3.5.2: Risk Management
  • 3.5.3: Customer Management and Personalization
  • 3.5.4: Process Optimization
  • 3.5.5: Others
• 3.6: Global Insurance Analytic Market by End Use
  • 3.6.1: Insurance Companies
  • 3.6.2: Government Agencies
  • 3.6.3: Third-party Administrators, Brokers and Consultancies

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

• 4.1: Global Insurance Analytic Market by Region
• 4.2: North American Insurance Analytic Market
  • 4.2.1: North American Insurance Analytic Market by Component: Tools and Services
  • 4.2.2: North American Insurance Analytic Market by Application: Claims Management, Risk Management, Customer Management and Personalization, Process Optimization, and Others
• 4.3: European Insurance Analytic Market
  • 4.3.1: European Insurance Analytic Market by Component: Tools and Services
  • 4.3.2: European Insurance Analytic Market by Application: Claims Management, Risk Management, Customer Management and Personalization, Process Optimization, and Others
• 4.4: APAC Insurance Analytic Market
  • 4.4.1: APAC Insurance Analytic Market by Component: Tools and Services
  • 4.4.2: APAC Insurance Analytic Market by Application: Claims Management, Risk Management, Customer Management and Personalization, Process Optimization, and Others
• 4.5: ROW Insurance Analytic Market
  • 4.5.1: ROW Insurance Analytic Market by Component: Tools and Services
  • 4.5.2: ROW Insurance Analytic Market by Application: Claims Management, Risk Management, Customer Management and Personalization, Process Optimization, and Others

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global Insurance Analytic Market by Component
  • 6.1.2: Growth Opportunities for the Global Insurance Analytic Market by Organization Size
  • 6.1.3: Growth Opportunities for the Global Insurance Analytic Market by Application
  • 6.1.4: Growth Opportunities for the Global Insurance Analytic Market by End Use
  • 6.1.5: Growth Opportunities for the Global Insurance Analytic Market by Region
• 6.2: Emerging Trends in the Global Insurance Analytic Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global Insurance Analytic Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Insurance Analytic Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: IBM
• 7.2: Salesforce
• 7.3: Oracle
• 7.4: Microsoft
• 7.5: Sapiens
• 7.6: OpenText
• 7.7: SAP