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疾患予兆分析の世界市場

Predictive Disease Analytics

出版日
ページ情報
英文 214 Pages
納期
即日から翌営業日
適宜更新あり
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価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=149.53円
疾患予兆分析の世界市場
出版日: 2025年08月20日
発行: Global Industry Analysts, Inc.
ページ情報: 英文 214 Pages
納期: 即日から翌営業日
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  • 概要
  • 目次
概要

疾患予兆分析の世界市場は2030年までに104億米ドルに到達

2024年に31億米ドルと推定される疾患予兆分析の世界市場は、2024年から2030年にかけてCAGR 22.2%で成長し、2030年には104億米ドルに達すると予測されます。本レポートで分析したセグメントの1つであるソフトウェアコンポーネントは、CAGR 23.3%を記録し、分析期間終了時には68億米ドルに達すると予測されます。サービスコンポーネント分野の成長率は、分析期間のCAGRで20.7％と推定されます。

米国市場は8億1,810万米ドルと推定、中国はCAGR21.0％で成長予測

米国の疾患予兆分析市場は、2024年に8億1,810万米ドルと推定されます。世界第2位の経済大国である中国は、2030年までに16億米ドルの市場規模に達すると予測され、分析期間2024-2030年のCAGRは21.0%です。その他の注目すべき地域別市場としては、日本とカナダがあり、分析期間中のCAGRはそれぞれ20.4％と19.0％と予測されています。欧州では、ドイツがCAGR約15.2%で成長すると予測されています。

世界の疾患予兆分析市場- 主要動向と促進要因のまとめ

疾患予兆分析は予防ヘルスケアの未来をどう変えるか？

疾患予兆分析は、データ駆動型アルゴリズムを使用して、病気の早期発見、発生予測、予防ケアのパーソナライズを可能にすることで、ヘルスケア提供を急速に再構築しています。この変革の中核となるのは、電子カルテ（EHR）、医療画像、ウェアラブルセンサーデータ、ゲノムプロファイル、健康の社会的決定要因からなる膨大なデータセットで学習された機械学習モデル、統計的回帰ツール、AIベースの意思決定システムです。これらのシステムは、パターン認識と確率的モデリングを用いて、糖尿病、心血管障害、がんなどの慢性疾患を発症するリスクの高い個人を特定します。

先進的なプラットフォームは現在、自然言語処理（NLP）を統合し、構造化されていない医師のメモやウェアラブルデバイスからのリアルタイムのモニタリングデータから臨床的洞察を抽出しています。予測ツールはまた、疾患の進行を追跡し、治療結果をシミュレートするために、縦断的データを利用します。例えば、腫瘍学では、予測モデルは腫瘍の再発確率を決定するために使用され、循環器学では、アルゴリズムはライフスタイル、バイタル、脂質プロファイルに基づいて心筋梗塞のリスクを推定します。このように、AIと個別化医療の融合は、より的を絞ったスクリーニング、ケア経路の優先順位付け、後期介入による経済的負担の軽減を可能にしています。

予測アナリティクスが臨床と運用に最も深い影響を与えている分野は？

予測分析は、慢性疾患管理、メンタルヘルス、感染症サーベイランス、病院運営において、臨床に深く応用されています。糖尿病治療では、予測プラットフォームがグルコースパターン、食事インプット、服薬アドヒアランスを分析し、低血糖や高血糖を予測します。こうした洞察により、インスリン投与や生活習慣への介入を事前に調整することが可能になります。メンタルヘルス分野では、モバイルアプリ、ソーシャルメディア活動、スピーチパターンからの行動動向に基づいて、うつ病エピソードの再発や自殺のリスクを予測するためにAIモデルが採用されています。

感染症対策では、COVID-19パンデミックの際に、移動、接触者追跡、気象データを用いて、アウトブレイクのホットスポット、ICUの稼働率、感染経路を予測し、疾患予兆分析が重要な役割を果たしました。これらのモデルは現在、将来の人獣共通感染症アウトブレイクや季節性インフルエンザの流行に備えるため、公衆衛生システムにおいて制度化されつつあります。運営レベルでは、病院は予測ツールを用いて、ベッドの稼働率、ERの急増、再入院リスク、サプライチェーンの混乱などを予測し、資源配分を最適化しています。ポピュレーションヘルスマネージャーは、患者コホートのセグメント化、アウトリーチキャンペーンの設計、アカウンタブルケア環境におけるリスク調整アウトカムの達成のために、これらの洞察を活用しています。

データ統合、倫理、規制はどのように導入軌道を形成しているか？

疾患予兆分析の有効性と拡張性は、強固なデータ統合と相互運用性にかかっています。医療システムは、医療情報交換（HIE）、API対応データレイク、病院、検査室、薬局、保険会社、遠隔監視ツールからの構造化・非構造化データを統合する連携データモデルへの投資を増やしています。クラウドネイティブプラットフォームとエッジコンピューティングは、特に急性期医療環境においてリアルタイムのデータ処理を可能にしています。バイオインフォマティクス企業との提携によるゲノムデータの統合は、腫瘍学、希少疾患、ファーマコゲノミクス・アプリケーションにおける予測深度をさらに豊かにしています。

しかし、データのプライバシー、アルゴリズムの偏り、説明可能性などをめぐる倫理的な懸念が、規制の枠組みを形成しつつあります。欧州の一般データ保護規則（GDPR）、米国のHIPAA、インドとブラジルの新たなデータ保護法は、強力な暗号化、匿名化、データ最小化技術の実装を開発者に促しています。規制当局もまた、臨床的検証と実世界での信頼性を確保するために、SaMD（software-as-a-medical-device）の枠組みの下で予測モデルを評価しています。モデルの透明性スコア、臨床監査可能性、バイアス緩和戦略などの取り組みは、予測分析ベンダーに期待される標準的なものになりつつあります。これらの開発により、臨床医と患者の信頼が徐々に醸成され、ケアエコシステム全体での採用が促進されつつあります。

世界の疾患予兆分析市場拡大の要因は？

世界の疾患予兆分析市場の成長を後押ししているのは、慢性疾患の有病率の上昇、ヘルスケアのデジタル化の進展、バリューベースのケアモデルへのパラダイムシフトです。医療システムは、コストを抑制しながらアウトカムを改善する必要に迫られており、高リスク者を早期に特定し、介入リソースを効果的に層別化できるツールへの需要が高まっています。高齢化と生活習慣病がヘルスケア・インフラに負担をかける中、予測分析はケア提供の最適化と健康寿命の延伸に不可欠であることが証明されつつあります。

米国治療法（Cures Act）、EUデジタルヘルス戦略（EU Digital Health Strategy）、中国の医療情報化計画（China's Health Informatization Plan）などの政策を通じて、デジタルヘルス変革に対する政府の支援は、EHR導入、AI投資、予測アルゴリズム展開にインセンティブを与えています。同時に、健康に焦点を当てたウェアラブル、モバイルヘルスアプリ、遠隔患者モニタリング（RPM）の台頭は、高解像度の行動・生理データを予測システムに送り込み、精度と個別化を向上させています。製薬会社や保険会社は、試験参加者の特定、服薬アドヒアランスの監視、集団リスクプールの管理に予測分析を活用しています。

医療IT企業、学術医療センター、AI新興企業間の戦略的パートナーシップは、イノベーション・パイプラインを加速させ、地域横断的なパイロット導入を拡大しています。IBM Watson Health、Health Catalyst、Optum、Philips、SASなどの大手企業は、買収やプラットフォームの統合を通じて予測ポートフォリオを拡大しています。ヘルスケアコストの抑制、ケア成果の改善、介入の個別化に対するプレッシャーが高まる中、疾患予兆分析は将来の医療システムの要となり、高所得国と発展途上国の両方で導入が加速すると予想されます。

セグメント

コンポーネント（ソフトウェア、サービス、ハードウェア）;展開（オンプレミス、クラウド）;エンドユーザー（ヘルスケア支払者、ヘルスケア提供者、その他）

調査対象企業の例

  • Ada Health GmbH
  • Aidoc
  • Behold.ai
  • Biofourmis
  • Clarify Health Solutions
  • CloudMedx
  • ConcertAI
  • Dascena
  • DeepMind Health（Google）
  • Eyenuk
  • GNS Healthcare
  • Health Catalyst
  • IBM Watson Health（Merative）
  • Jvion
  • KenSci
  • Lumiata
  • Medial EarlySign
  • Prognos Health
  • Tempus Labs
  • Zebra Medical Vision

AIインテグレーション

Global Industry Analystsは、有効な専門家コンテンツとAIツールによって、市場情報と競合情報を変革しています。

Global Industry Analystsは、一般的なLLMや業界別SLMのクエリに従う代わりに、ビデオ記録、ブログ、検索エンジン調査、大量の企業、製品/サービス、市場データなど、世界中の専門家から収集したコンテンツのリポジトリを構築しました。

関税影響係数

Global Industry Analystsは、本社の国、製造拠点、輸出入（完成品とOEM）に基づく企業の競争力の変化を予測しています。この複雑で多面的な市場力学は、売上原価（COGS）の増加、収益性の低下、サプライチェーンの再構築など、ミクロおよびマクロの市場力学の中でも特に競合他社に影響を与える見込みです。

目次

第1章 調査手法

第2章 エグゼクティブサマリー

  • 市場概要
  • 主要企業
  • 市場動向と促進要因
  • 世界市場の見通し

第3章 市場分析

  • 米国
  • カナダ
  • 日本
  • 中国
  • 欧州
  • フランス
  • ドイツ
  • イタリア
  • 英国
  • その他欧州
  • アジア太平洋
  • その他の地域

第4章 競合

目次
Product Code: MCP37808

Global Predictive Disease Analytics Market to Reach US$10.4 Billion by 2030

The global market for Predictive Disease Analytics estimated at US$3.1 Billion in the year 2024, is expected to reach US$10.4 Billion by 2030, growing at a CAGR of 22.2% over the analysis period 2024-2030. Software Component, one of the segments analyzed in the report, is expected to record a 23.3% CAGR and reach US$6.8 Billion by the end of the analysis period. Growth in the Service Component segment is estimated at 20.7% CAGR over the analysis period.

The U.S. Market is Estimated at US$818.1 Million While China is Forecast to Grow at 21.0% CAGR

The Predictive Disease Analytics market in the U.S. is estimated at US$818.1 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$1.6 Billion by the year 2030 trailing a CAGR of 21.0% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 20.4% and 19.0% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 15.2% CAGR.

Global Predictive Disease Analytics Market - Key Trends & Drivers Summarized

How Is Predictive Disease Analytics Transforming the Future of Preventive Healthcare?

Predictive disease analytics is rapidly reshaping healthcare delivery by enabling early disease detection, forecasting outbreaks, and personalizing preventive care using data-driven algorithms. At the core of this transformation are machine learning models, statistical regression tools, and AI-based decision systems trained on vast datasets comprising electronic health records (EHRs), medical imaging, wearable sensor data, genomic profiles, and social determinants of health. These systems use pattern recognition and probabilistic modeling to identify individuals at elevated risk of developing chronic diseases such as diabetes, cardiovascular disorders, and cancer-often before symptoms appear.

Advanced platforms now integrate natural language processing (NLP) to extract clinical insights from unstructured physician notes and real-time monitoring data from wearable devices. Predictive tools also draw on longitudinal data to track disease progression and simulate treatment outcomes. For instance, in oncology, predictive models are used to determine tumor recurrence probabilities, while in cardiology, algorithms estimate risk for myocardial infarction based on lifestyle, vitals, and lipid profiles. The convergence of AI with personalized medicine is thus enabling more targeted screening, prioritizing care pathways, and reducing the economic burden of late-stage interventions.

In Which Areas Is Predictive Analytics Making the Deepest Clinical and Operational Impact?

Predictive analytics is having profound clinical applications across chronic disease management, mental health, infectious disease surveillance, and hospital operations. In diabetes care, predictive platforms analyze glucose patterns, dietary inputs, and medication adherence to forecast hypo- or hyperglycemic events. These insights enable proactive adjustments in insulin dosing or lifestyle interventions. In the area of mental health, AI models are being employed to predict depressive episode relapses or suicide risks based on behavioral trends from mobile apps, social media activity, and speech patterns.

In infectious disease control, predictive disease analytics played a vital role during the COVID-19 pandemic, forecasting outbreak hotspots, ICU occupancy, and transmission chains using mobility, contact-tracing, and weather data. These models are now being institutionalized in public health systems to prepare for future zoonotic outbreaks and seasonal influenza waves. At the operational level, hospitals use predictive tools to optimize resource allocation-forecasting bed occupancy, ER surges, readmission risks, and supply chain disruptions. Population health managers utilize these insights to segment patient cohorts, design outreach campaigns, and achieve risk-adjusted outcomes in accountable care environments.

How Are Data Integration, Ethics, and Regulation Shaping Adoption Trajectories?

The effectiveness and scalability of predictive disease analytics hinge on robust data integration and interoperability. Health systems are increasingly investing in Health Information Exchanges (HIEs), API-enabled data lakes, and federated data models that bring together structured and unstructured data from hospitals, labs, pharmacies, insurers, and remote monitoring tools. Cloud-native platforms and edge computing are enabling real-time data processing, especially in acute care settings. Genomic data integration, through partnerships with bioinformatics firms, is further enriching the predictive depth in oncology, rare disease, and pharmacogenomics applications.

However, ethical concerns surrounding data privacy, algorithmic bias, and explainability are shaping the regulatory framework. The General Data Protection Regulation (GDPR) in Europe, HIPAA in the U.S., and emerging data protection laws in India and Brazil are driving developers to implement strong encryption, anonymization, and data minimization techniques. Regulatory authorities are also evaluating predictive models under software-as-a-medical-device (SaMD) frameworks to ensure clinical validation and real-world reliability. Initiatives such as model transparency scores, clinical auditability, and bias mitigation strategies are becoming standard expectations for predictive analytics vendors. These developments are gradually fostering trust among clinicians and patients, catalyzing adoption across care ecosystems.

What Factors Are Fueling the Expansion of the Global Predictive Disease Analytics Market?

The growth in the global predictive disease analytics market is being fueled by rising chronic disease prevalence, increasing healthcare digitalization, and a paradigm shift toward value-based care models. Health systems are under pressure to improve outcomes while controlling costs, which is driving demand for tools that can identify high-risk individuals early and stratify intervention resources effectively. As aging populations and lifestyle-related diseases strain healthcare infrastructure, predictive analytics is proving essential in optimizing care delivery and extending healthy life expectancy.

Government support for digital health transformation-through policies such as the U.S. Cures Act, the EU Digital Health Strategy, and China’s Health Informatization Plan-is incentivizing EHR adoption, AI investment, and predictive algorithm deployment. Simultaneously, the rise of health-focused wearables, mobile health apps, and remote patient monitoring (RPM) is feeding high-resolution behavioral and physiological data into predictive systems, improving accuracy and personalization. Pharmaceutical and insurance companies are leveraging predictive analytics to identify trial participants, monitor medication adherence, and manage population risk pools.

Strategic partnerships between health IT firms, academic medical centers, and AI startups are accelerating innovation pipelines and scaling pilot deployments across geographies. Major players such as IBM Watson Health, Health Catalyst, Optum, Philips, and SAS are expanding predictive portfolios through acquisitions and platform integrations. With rising pressure to contain healthcare costs, improve care outcomes, and personalize interventions, predictive disease analytics is expected to be a cornerstone of future health systems, with adoption accelerating in both high-income and developing countries.

SCOPE OF STUDY:

The report analyzes the Predictive Disease Analytics market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Software Component, Service Component, Hardware Component); Deployment (On-Premise Deployment, Cloud Deployment); End-Use (Healthcare Payer End-Use, Healthcare Providers End-Use, Other End-Uses)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 34 Featured) -

  • Ada Health GmbH
  • Aidoc
  • Behold.ai
  • Biofourmis
  • Clarify Health Solutions
  • CloudMedx
  • ConcertAI
  • Dascena
  • DeepMind Health (Google)
  • Eyenuk
  • GNS Healthcare
  • Health Catalyst
  • IBM Watson Health (Merative)
  • Jvion
  • KenSci
  • Lumiata
  • Medial EarlySign
  • Prognos Health
  • Tempus Labs
  • Zebra Medical Vision

AI INTEGRATIONS

We're transforming market and competitive intelligence with validated expert content and AI tools.

Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Tariff Impact on Global Supply Chain Patterns
    • Predictive Disease Analytics - Global Key Competitors Percentage Market Share in 2025 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Rising Focus on Preventive Healthcare and Early Diagnosis Spurs Demand for Predictive Analytics Tools
    • Integration of AI and Machine Learning Models Enhances Accuracy and Speed of Disease Forecasting
    • Surge in Chronic Disease Prevalence Throws the Spotlight on Predictive Risk Stratification Solutions
    • Expansion of Population Health Management Initiatives Strengthens Business Case for Analytics Adoption
    • OEM Partnerships With Payers and Providers Support Scalable Implementation in Clinical Settings
    • Increased Availability of Genomic and Biomarker Data Fuels Growth in Precision Predictive Tools
    • Government Investments in Digital Health Infrastructure Promote Widespread Analytics Adoption
    • Development of Cloud-Based Platforms for Scalable Predictive Modeling Enhances System Accessibility
    • Emergence of Real-Time Health Monitoring Devices Supports Dynamic and Adaptive Risk Scoring
    • Growth in Remote Patient Monitoring Programs Promotes Continuous Predictive Tracking
    • Use of Social Determinants of Health Data Expands Scope of Predictive Insights Beyond Clinical Factors
    • Focus on Reducing Hospital Readmissions and Emergency Visits Drives Preventive Analytics Integration
    • Regulatory Support for Value-Based Care Accelerates Outcomes-Focused Predictive Modeling
    • Expansion of AI-Driven Decision Support Systems Improves Workflow in Primary and Specialty Care
    • Data Interoperability and EHR Integration Challenges Drive Innovation in Unified Analytics Platforms
    • Rising Use of Predictive Tools in Epidemiology and Disease Surveillance Enhances Public Health Planning
    • Growth in Pharmaceutical R&D Adoption of Predictive Models Supports Trial Design and Risk Management
    • Development of Explainable AI Enhances Trust and Transparency in Clinical Use of Predictive Models
    • Adoption in Mental Health and Behavioral Analytics Expands Applications Beyond Traditional Domains
    • Market Expansion in Emerging Economies Promotes Localization and Regional Disease Pattern Modeling
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Predictive Disease Analytics Market Analysis of Annual Sales in US$ Million for Years 2014 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Predictive Disease Analytics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 3: World Historic Review for Predictive Disease Analytics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 4: World 16-Year Perspective for Predictive Disease Analytics by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2014, 2025 & 2030
    • TABLE 5: World Recent Past, Current & Future Analysis for Software Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 6: World Historic Review for Software Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 7: World 16-Year Perspective for Software Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2014, 2025 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Service Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 9: World Historic Review for Service Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 10: World 16-Year Perspective for Service Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2014, 2025 & 2030
    • TABLE 11: World Recent Past, Current & Future Analysis for Hardware Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 12: World Historic Review for Hardware Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 13: World 16-Year Perspective for Hardware Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2014, 2025 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for On-Premise Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 15: World Historic Review for On-Premise Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 16: World 16-Year Perspective for On-Premise Deployment by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2014, 2025 & 2030
    • TABLE 17: World Recent Past, Current & Future Analysis for Cloud Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 18: World Historic Review for Cloud Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 19: World 16-Year Perspective for Cloud Deployment by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2014, 2025 & 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for Healthcare Payer End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 21: World Historic Review for Healthcare Payer End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 22: World 16-Year Perspective for Healthcare Payer End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2014, 2025 & 2030
    • TABLE 23: World Recent Past, Current & Future Analysis for Healthcare Providers End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 24: World Historic Review for Healthcare Providers End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 25: World 16-Year Perspective for Healthcare Providers End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2014, 2025 & 2030
    • TABLE 26: World Recent Past, Current & Future Analysis for Other End-Uses by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 27: World Historic Review for Other End-Uses by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 28: World 16-Year Perspective for Other End-Uses by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2014, 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Predictive Disease Analytics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 29: USA Recent Past, Current & Future Analysis for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 30: USA Historic Review for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 31: USA 16-Year Perspective for Predictive Disease Analytics by Component - Percentage Breakdown of Value Sales for Software Component, Service Component and Hardware Component for the Years 2014, 2025 & 2030
    • TABLE 32: USA Recent Past, Current & Future Analysis for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 33: USA Historic Review for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 34: USA 16-Year Perspective for Predictive Disease Analytics by Deployment - Percentage Breakdown of Value Sales for On-Premise Deployment and Cloud Deployment for the Years 2014, 2025 & 2030
    • TABLE 35: USA Recent Past, Current & Future Analysis for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 36: USA Historic Review for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 37: USA 16-Year Perspective for Predictive Disease Analytics by End-Use - Percentage Breakdown of Value Sales for Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses for the Years 2014, 2025 & 2030
  • CANADA
    • TABLE 38: Canada Recent Past, Current & Future Analysis for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Canada Historic Review for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 40: Canada 16-Year Perspective for Predictive Disease Analytics by Component - Percentage Breakdown of Value Sales for Software Component, Service Component and Hardware Component for the Years 2014, 2025 & 2030
    • TABLE 41: Canada Recent Past, Current & Future Analysis for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 42: Canada Historic Review for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 43: Canada 16-Year Perspective for Predictive Disease Analytics by Deployment - Percentage Breakdown of Value Sales for On-Premise Deployment and Cloud Deployment for the Years 2014, 2025 & 2030
    • TABLE 44: Canada Recent Past, Current & Future Analysis for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Canada Historic Review for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 46: Canada 16-Year Perspective for Predictive Disease Analytics by End-Use - Percentage Breakdown of Value Sales for Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses for the Years 2014, 2025 & 2030
  • JAPAN
    • Predictive Disease Analytics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 47: Japan Recent Past, Current & Future Analysis for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 48: Japan Historic Review for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 49: Japan 16-Year Perspective for Predictive Disease Analytics by Component - Percentage Breakdown of Value Sales for Software Component, Service Component and Hardware Component for the Years 2014, 2025 & 2030
    • TABLE 50: Japan Recent Past, Current & Future Analysis for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 51: Japan Historic Review for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 52: Japan 16-Year Perspective for Predictive Disease Analytics by Deployment - Percentage Breakdown of Value Sales for On-Premise Deployment and Cloud Deployment for the Years 2014, 2025 & 2030
    • TABLE 53: Japan Recent Past, Current & Future Analysis for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 54: Japan Historic Review for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 55: Japan 16-Year Perspective for Predictive Disease Analytics by End-Use - Percentage Breakdown of Value Sales for Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses for the Years 2014, 2025 & 2030
  • CHINA
    • Predictive Disease Analytics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 56: China Recent Past, Current & Future Analysis for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 57: China Historic Review for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 58: China 16-Year Perspective for Predictive Disease Analytics by Component - Percentage Breakdown of Value Sales for Software Component, Service Component and Hardware Component for the Years 2014, 2025 & 2030
    • TABLE 59: China Recent Past, Current & Future Analysis for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 60: China Historic Review for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 61: China 16-Year Perspective for Predictive Disease Analytics by Deployment - Percentage Breakdown of Value Sales for On-Premise Deployment and Cloud Deployment for the Years 2014, 2025 & 2030
    • TABLE 62: China Recent Past, Current & Future Analysis for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 63: China Historic Review for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 64: China 16-Year Perspective for Predictive Disease Analytics by End-Use - Percentage Breakdown of Value Sales for Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses for the Years 2014, 2025 & 2030
  • EUROPE
    • Predictive Disease Analytics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 65: Europe Recent Past, Current & Future Analysis for Predictive Disease Analytics by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 66: Europe Historic Review for Predictive Disease Analytics by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 67: Europe 16-Year Perspective for Predictive Disease Analytics by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2014, 2025 & 2030
    • TABLE 68: Europe Recent Past, Current & Future Analysis for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 69: Europe Historic Review for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 70: Europe 16-Year Perspective for Predictive Disease Analytics by Component - Percentage Breakdown of Value Sales for Software Component, Service Component and Hardware Component for the Years 2014, 2025 & 2030
    • TABLE 71: Europe Recent Past, Current & Future Analysis for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 72: Europe Historic Review for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 73: Europe 16-Year Perspective for Predictive Disease Analytics by Deployment - Percentage Breakdown of Value Sales for On-Premise Deployment and Cloud Deployment for the Years 2014, 2025 & 2030
    • TABLE 74: Europe Recent Past, Current & Future Analysis for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 75: Europe Historic Review for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 76: Europe 16-Year Perspective for Predictive Disease Analytics by End-Use - Percentage Breakdown of Value Sales for Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses for the Years 2014, 2025 & 2030
  • FRANCE
    • Predictive Disease Analytics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 77: France Recent Past, Current & Future Analysis for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 78: France Historic Review for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 79: France 16-Year Perspective for Predictive Disease Analytics by Component - Percentage Breakdown of Value Sales for Software Component, Service Component and Hardware Component for the Years 2014, 2025 & 2030
    • TABLE 80: France Recent Past, Current & Future Analysis for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 81: France Historic Review for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 82: France 16-Year Perspective for Predictive Disease Analytics by Deployment - Percentage Breakdown of Value Sales for On-Premise Deployment and Cloud Deployment for the Years 2014, 2025 & 2030
    • TABLE 83: France Recent Past, Current & Future Analysis for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 84: France Historic Review for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 85: France 16-Year Perspective for Predictive Disease Analytics by End-Use - Percentage Breakdown of Value Sales for Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses for the Years 2014, 2025 & 2030
  • GERMANY
    • Predictive Disease Analytics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 86: Germany Recent Past, Current & Future Analysis for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 87: Germany Historic Review for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 88: Germany 16-Year Perspective for Predictive Disease Analytics by Component - Percentage Breakdown of Value Sales for Software Component, Service Component and Hardware Component for the Years 2014, 2025 & 2030
    • TABLE 89: Germany Recent Past, Current & Future Analysis for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 90: Germany Historic Review for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 91: Germany 16-Year Perspective for Predictive Disease Analytics by Deployment - Percentage Breakdown of Value Sales for On-Premise Deployment and Cloud Deployment for the Years 2014, 2025 & 2030
    • TABLE 92: Germany Recent Past, Current & Future Analysis for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Germany Historic Review for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 94: Germany 16-Year Perspective for Predictive Disease Analytics by End-Use - Percentage Breakdown of Value Sales for Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses for the Years 2014, 2025 & 2030
  • ITALY
    • TABLE 95: Italy Recent Past, Current & Future Analysis for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 96: Italy Historic Review for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 97: Italy 16-Year Perspective for Predictive Disease Analytics by Component - Percentage Breakdown of Value Sales for Software Component, Service Component and Hardware Component for the Years 2014, 2025 & 2030
    • TABLE 98: Italy Recent Past, Current & Future Analysis for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 99: Italy Historic Review for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 100: Italy 16-Year Perspective for Predictive Disease Analytics by Deployment - Percentage Breakdown of Value Sales for On-Premise Deployment and Cloud Deployment for the Years 2014, 2025 & 2030
    • TABLE 101: Italy Recent Past, Current & Future Analysis for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 102: Italy Historic Review for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 103: Italy 16-Year Perspective for Predictive Disease Analytics by End-Use - Percentage Breakdown of Value Sales for Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses for the Years 2014, 2025 & 2030
  • UNITED KINGDOM
    • Predictive Disease Analytics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 104: UK Recent Past, Current & Future Analysis for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 105: UK Historic Review for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 106: UK 16-Year Perspective for Predictive Disease Analytics by Component - Percentage Breakdown of Value Sales for Software Component, Service Component and Hardware Component for the Years 2014, 2025 & 2030
    • TABLE 107: UK Recent Past, Current & Future Analysis for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 108: UK Historic Review for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 109: UK 16-Year Perspective for Predictive Disease Analytics by Deployment - Percentage Breakdown of Value Sales for On-Premise Deployment and Cloud Deployment for the Years 2014, 2025 & 2030
    • TABLE 110: UK Recent Past, Current & Future Analysis for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 111: UK Historic Review for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 112: UK 16-Year Perspective for Predictive Disease Analytics by End-Use - Percentage Breakdown of Value Sales for Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses for the Years 2014, 2025 & 2030
  • REST OF EUROPE
    • TABLE 113: Rest of Europe Recent Past, Current & Future Analysis for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 114: Rest of Europe Historic Review for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 115: Rest of Europe 16-Year Perspective for Predictive Disease Analytics by Component - Percentage Breakdown of Value Sales for Software Component, Service Component and Hardware Component for the Years 2014, 2025 & 2030
    • TABLE 116: Rest of Europe Recent Past, Current & Future Analysis for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 117: Rest of Europe Historic Review for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 118: Rest of Europe 16-Year Perspective for Predictive Disease Analytics by Deployment - Percentage Breakdown of Value Sales for On-Premise Deployment and Cloud Deployment for the Years 2014, 2025 & 2030
    • TABLE 119: Rest of Europe Recent Past, Current & Future Analysis for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 120: Rest of Europe Historic Review for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 121: Rest of Europe 16-Year Perspective for Predictive Disease Analytics by End-Use - Percentage Breakdown of Value Sales for Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses for the Years 2014, 2025 & 2030
  • ASIA-PACIFIC
    • Predictive Disease Analytics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 122: Asia-Pacific Recent Past, Current & Future Analysis for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 123: Asia-Pacific Historic Review for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 124: Asia-Pacific 16-Year Perspective for Predictive Disease Analytics by Component - Percentage Breakdown of Value Sales for Software Component, Service Component and Hardware Component for the Years 2014, 2025 & 2030
    • TABLE 125: Asia-Pacific Recent Past, Current & Future Analysis for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 126: Asia-Pacific Historic Review for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 127: Asia-Pacific 16-Year Perspective for Predictive Disease Analytics by Deployment - Percentage Breakdown of Value Sales for On-Premise Deployment and Cloud Deployment for the Years 2014, 2025 & 2030
    • TABLE 128: Asia-Pacific Recent Past, Current & Future Analysis for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 129: Asia-Pacific Historic Review for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 130: Asia-Pacific 16-Year Perspective for Predictive Disease Analytics by End-Use - Percentage Breakdown of Value Sales for Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses for the Years 2014, 2025 & 2030
  • REST OF WORLD
    • TABLE 131: Rest of World Recent Past, Current & Future Analysis for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 132: Rest of World Historic Review for Predictive Disease Analytics by Component - Software Component, Service Component and Hardware Component Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 133: Rest of World 16-Year Perspective for Predictive Disease Analytics by Component - Percentage Breakdown of Value Sales for Software Component, Service Component and Hardware Component for the Years 2014, 2025 & 2030
    • TABLE 134: Rest of World Recent Past, Current & Future Analysis for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 135: Rest of World Historic Review for Predictive Disease Analytics by Deployment - On-Premise Deployment and Cloud Deployment Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 136: Rest of World 16-Year Perspective for Predictive Disease Analytics by Deployment - Percentage Breakdown of Value Sales for On-Premise Deployment and Cloud Deployment for the Years 2014, 2025 & 2030
    • TABLE 137: Rest of World Recent Past, Current & Future Analysis for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 138: Rest of World Historic Review for Predictive Disease Analytics by End-Use - Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2023 and % CAGR
    • TABLE 139: Rest of World 16-Year Perspective for Predictive Disease Analytics by End-Use - Percentage Breakdown of Value Sales for Healthcare Payer End-Use, Healthcare Providers End-Use and Other End-Uses for the Years 2014, 2025 & 2030

IV. COMPETITION