医療向けビッグデータアナリティクス市場レポート：2030年までの動向、予測、競合分析

医療向けビッグデータアナリティクスの動向と予測

世界の医療向けビッグデータアナリティクス市場は、2024年から2030年にかけてCAGR 15.2％で成長すると予測されます。この市場の主な促進要因は、治療計画を調整するための自動化医療ソリューションの利用拡大、高度アナリティクスの採用急増、医療業界による設備投資の増加です。世界の医療向けビッグデータアナリティクス市場の将来は、病院・診療所、金融・保険代理店、調査機関の各市場におけるビジネスチャンスによって有望視されています。

医療向けビッグデータアナリティクス市場の洞察

Lucintel社は、広範なデータセットを簡単かつ迅速に検索できるため、患者に関連する正確な結果が得られ、意思決定にも役立つことから、予測期間中もサービスが最大セグメントであり続けると予測しています。

この市場の中で、病院・クリニックは、患者の健康動向の変化をタイムリーに医療担当者に通知するため、最大のセグメントであり続けるでしょう。

北米は、電子カルテの普及が進んでいるため、予測期間中も最大地域であり続けると思われます。

本レポートでは、以下の11の主要な質問に回答しています：

• Q.1.市場セグメントのうち、最も有望かつ高成長な機会は何か？
• Q.2.どのセグメントがより速いペースで成長するのか、またその理由は？
• Q.3.今後成長が加速すると思われる地域とその理由は？
• Q.4.市場力学に影響を与える主な要因は何か？市場における主な課題とビジネスリスクは？
• Q.5.この市場におけるビジネスリスクと競合の脅威は？
• Q.6.この市場における新たな動向とその理由は？
• Q.7.市場における顧客の需要の変化にはどのようなものがありますか？
• Q.8.この市場における新たな開発と、その開発をリードしている企業は？
• Q.9.この市場における主要企業は？主要企業は事業成長のためにどのような戦略的取り組みを進めているのか？
• Q.10.この市場における競合製品にはどのようなものがありますか。また、異業種参入や代替品の登場による市場シェア低下の脅威はどの程度ありますか。
• Q.11.過去5年間にどのようなM&Aが行われ、業界にどのような影響を与えましたか？

目次

第1章 エグゼクティブサマリー

第2章 世界の医療向けビッグデータアナリティクス市場：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）
• 世界の医療向けビッグデータアナリティクス市場動向（2018～2023年）と予測（2024～2030年）
• コンポーネント別の世界の医療向けビッグデータアナリティクス市場
  • サービス
  • ソフトウェア
  • ハードウェア
• アナリティクスタイプ別の世界の医療向けビッグデータアナリティクス市場
  • 記述的アナリティクス
  • 予測的アナリティクス
  • 処方的アナリティクス
  • コグニティブアナリティクス
• アプリケーション別の世界の医療向けビッグデータアナリティクス市場
  • 財務アナリティクス
  • 臨床アナリティクス
  • 運用アナリティクス
  • その他
• 最終用途別の世界の医療向けビッグデータアナリティクス市場
  • 病院・クリニック
  • 金融・保険代理店
  • 調査機関

第4章 2018年から2030年までの地域別の市場動向と予測分析

• 地域別の世界の医療向けビッグデータアナリティクス市場
• 北米の医療向けビッグデータアナリティクス市場
• 欧州の医療向けビッグデータアナリティクス市場
• アジア太平洋の医療向けビッグデータアナリティクス市場
• その他地域の医療向けビッグデータアナリティクス市場

第5章 競合分析

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

第6章 成長機会と戦略的分析

• 成長機会分析
  • コンポーネント別の世界の医療向けビッグデータアナリティクス市場の成長機会
  • アナリティクスタイプ別の世界の医療向けビッグデータアナリティクス市場の成長機会
  • アプリケーション別の世界の医療向けビッグデータアナリティクス市場の成長機会
  • 最終用途別の世界の医療向けビッグデータアナリティクス市場の成長機会
  • 地域別の世界の医療向けビッグデータアナリティクス市場の成長機会
• 世界の医療向けビッグデータアナリティクス市場の新たな動向
• 戦略的分析
  • 新製品の開発
  • 世界の医療向けビッグデータアナリティクス市場の能力拡大
  • 世界の医療向けビッグデータアナリティクス市場における合併、買収、合弁事業
  • 認証とライセンシング

第7章 有力企業の企業プロファイル

• Allscripts Healthcare
• Cerner
• IBM
• COTIVITI
• Oracle
• Health Catalyst
• Inovalon

Healthcare Big Data Analytic Trends and Forecast

The future of the global healthcare big data analytic market looks promising with opportunities in the hospital and clinic, finance and insurance agency, and research organization markets. The global healthcare big data analytic market is expected to grow with a CAGR of 15.2% from 2024 to 2030. The major drivers for this market are growing utilization of automated healthcare solutions to tailor treatment plans, surging adoption of advanced analytics, and rising capital investments by the healthcare industry.

A more than 150-page report is developed to help in your business decisions.

Healthcare Big Data Analytic by Segment

The study includes a forecast for the global healthcare big data analytic by component, anaytic type, application, end use, and region.

Healthcare Big Data Analytic Market by Component [Shipment Analysis by Value from 2018 to 2030]:

• Services
• Software
• Hardware

Healthcare Big Data Analytic Market by Anaytic Type [Shipment Analysis by Value from 2018 to 2030]:

• Descriptive Analytics
• Predictive Analytics
• Prescriptive Analytics
• Cognitive Analytics

Healthcare Big Data Analytic Market by Application [Shipment Analysis by Value from 2018 to 2030]:

• Financial Analytics
• Clinical Analytics
• Operational Analytics
• Others

Healthcare Big Data Analytic Market by End Use [Shipment Analysis by Value from 2018 to 2030]:

• Hospitals and Clinics
• Finance and Insurance Agencies
• Research Organizations

Healthcare Big Data Analytic Market by Region [Shipment Analysis by Value from 2018 to 2030]:

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

List of Healthcare Big Data 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 healthcare big data analytic companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the healthcare big data analytic companies profiled in this report include-

• Allscripts Healthcare
• Cerner
• IBM
• COTIVITI
• Oracle
• Health Catalyst
• Inovalon

Healthcare Big Data Analytic Market Insights

Lucintel forecasts that service will remain the largest segment over the forecast period due to effortless and rapid retrieval of extensive datasets, thus ensuring precise patient-related results, and also aids in decision-making.

Within this market, hospital and clinic will remain the largest segment as it notifies healthcare personnel about the changes in patient health trends in a timely manner.

North America will remain the largest region over the forecast period due to growing uptake of electronic health records in the region.

Features of the Global Healthcare Big Data Analytic Market

Market Size Estimates: Healthcare big data 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: Healthcare big data analytic market size by various segments, such as by component, anaytic type, application, end use, and region in terms of value ($B).

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

Growth Opportunities: Analysis of growth opportunities in different components, anaytic types, applications, end uses, and regions for the healthcare big data analytic market.

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

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

FAQ

Q1. What is the growth forecast for healthcare big data analytic market?

Answer: The global healthcare big data analytic market is expected to grow with a CAGR of 15.2% from 2024 to 2030.

Q2. What are the major drivers influencing the growth of the healthcare big data analytic market?

Answer: The major drivers for this market are growing utilization of automated healthcare solutions to tailor treatment plans, surging adoption of advanced analytics, and rising capital investments by the healthcare industry.

Q3. What are the major segments for healthcare big data analytic market?

Answer: The future of the healthcare big data analytic market looks promising with opportunities in the hospital and clinic, finance and insurance agency, and research organization markets.

Q4. Who are the key healthcare big data analytic market companies?

Answer: Some of the key healthcare big data analytic companies are as follows:

• Allscripts Healthcare
• Cerner
• IBM
• COTIVITI
• Oracle
• Health Catalyst
• Inovalon

Q5. Which healthcare big data analytic market segment will be the largest in future?

Answer: Lucintel forecasts that service will remain the largest segment over the forecast period due to effortless and rapid retrieval of extensive datasets, thus ensuring precise patient-related results, and also aids in decision-making.

Q6. In healthcare big data analytic market, which region is expected to be the largest in next 5 years?

Answer: North America will remain the largest region over the forecast period due to growing uptake of electronic health records in the region.

Q7. 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 healthcare big data analytic market by component (services, software, and hardware), anaytic type (descriptive analytics, predictive analytics, prescriptive analytics, and cognitive analytics), application (financial analytics, clinical analytics, operational analytics, and others), end use (hospitals and clinics, finance and insurance agencies, and research organizations), 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 anaytic type 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 Healthcare Big Data 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 Healthcare Big Data Analytic Market Trends (2018-2023) and Forecast (2024-2030)
• 3.3: Global Healthcare Big Data Analytic Market by Component
  • 3.3.1: Services
  • 3.3.2: Software
  • 3.3.3: Hardware
• 3.4: Global Healthcare Big Data Analytic Market by Anaytic Type
  • 3.4.1: Descriptive Analytics
  • 3.4.2: Predictive Analytics
  • 3.4.3: Prescriptive Analytics
  • 3.4.4: Cognitive Analytics
• 3.5: Global Healthcare Big Data Analytic Market by Application
  • 3.5.1: Financial Analytics
  • 3.5.2: Clinical Analytics
  • 3.5.3: Operational Analytics
  • 3.5.4: Others
• 3.6: Global Healthcare Big Data Analytic Market by End Use
  • 3.6.1: Hospitals and Clinics
  • 3.6.2: Finance and Insurance Agencies
  • 3.6.3: Research Organizations

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

• 4.1: Global Healthcare Big Data Analytic Market by Region
• 4.2: North American Healthcare Big Data Analytic Market
  • 4.2.2: North American Healthcare Big Data Analytic Market by End Use: Hospitals and Clinics, Finance and Insurance Agencies, and Research Organizations
• 4.3: European Healthcare Big Data Analytic Market
  • 4.3.1: European Healthcare Big Data Analytic Market by Component: Services, Software, and Hardware
  • 4.3.2: European Healthcare Big Data Analytic Market by End Use: Hospitals and Clinics, Finance and Insurance Agencies, and Research Organizations
• 4.4: APAC Healthcare Big Data Analytic Market
  • 4.4.1: APAC Healthcare Big Data Analytic Market by Component: Services, Software, and Hardware
  • 4.4.2: APAC Healthcare Big Data Analytic Market by End Use: Hospitals and Clinics, Finance and Insurance Agencies, and Research Organizations
• 4.5: ROW Healthcare Big Data Analytic Market
  • 4.5.1: ROW Healthcare Big Data Analytic Market by Component: Services, Software, and Hardware
  • 4.5.2: ROW Healthcare Big Data Analytic Market by End Use: Hospitals and Clinics, Finance and Insurance Agencies, and Research Organizations

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

7. Company Profiles of Leading Players

• 7.1: Allscripts Healthcare
• 7.2: Cerner
• 7.3: IBM
• 7.4: COTIVITI
• 7.5: Oracle
• 7.6: Health Catalyst
• 7.7: Inovalon