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個人化醫學

市場調查報告書

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2092982

精準心理健康市場預測至2034年－按解決方案類型、技術、應用、最終用戶和地區分類的全球分析

Precision Mental Wellness Market Forecasts to 2034 - Global Analysis By Solution Type, Technology, Application, End User and By Geography

出版日期: 2026年07月11日 | 出版商:

Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

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簡介目錄圖表

根據 Stratistics MRC 的數據，預計到 2026 年，全球精準心理健康市場規模將達到 35 億美元，並在預測期內以 17.1% 的複合年成長率成長，到 2034 年將達到 124 億美元。

「精準心理健康」是指一種個人化的醫療保健方法，它利用個人的基因譜、生物標記數據、行為模式和環境因素，量身定做預防、診斷和治療策略，以實現最佳的心理健康效果。這些解決方案整合了人工智慧、基因組分析、數位表現型分析和預測分析，以識別個別風險因素並建議針對性干預措施。這項技術包括個人化治療平台、精準精神科工具和遠端監測系統，使臨床醫生能夠擺脫千篇一律的治療模式，轉向個人化的心理健康管理。

認知治療中的異質性

人們日益認知到精神疾病治療反應存在顯著的個體差異，這推動了對精準心理健康解決方案的需求。精神科藥物的局限性以及試驗處方實踐使得基於生物標記的療法成為迫切需要。消費者對個人化醫療保健體驗的期望也延伸到了心理健康領域。基因組學研究的進展和數位生物標記的檢驗為精準療法提供了科學基礎。這些因素共同加速了精準療法在臨床和商業性的應用。

缺乏臨床檢驗

基因組和生物標記在心理健康預測方面的臨床檢驗不足，導致醫療服務提供者和保險公司對精準健康管理的有效性有不確定性。遺傳學、神經影像學、行為學和環境等領域複雜的資料整合需求增加了平台開發成本和部署複雜性。圍繞基因資訊共用的隱私問題阻礙了患者的參與。這些證據和操作方面的不足，使得精準健康管理在以研究為導向的大學醫院和早期採用者醫療系統之外的推廣應用進展緩慢。

雇主將其納入員工福利

將精準心理健康管理融入雇主提供的健康福利體系，蘊藏著巨大的商業性拓展機會。擁有自保能力的公司正日益增加對預測性心理健康分析的投資，以減少傷殘索賠並提高員工生產力。保險公司也意識到，基於個人風險狀況的早期療育能帶來成本節約。與福利管理機構和人力資源平台建立合作關係，能夠實現針對不同心理健康風險因素的員工群體進行可擴展的部署。

消費者基因檢測

面向檢驗的基因檢測服務興起，提供未經證實的心理健康風險評估，這可能會削弱人們對精準健康管理方法的臨床信心。消費者可能會誤解基因風險評分，導致不必要的焦慮或虛假的安全感。法律規範難以跟上心理健康領域基因組學應用快速發展的腳步。這些因素可能導致市場混亂，並阻礙精準精神醫學的商業化。

新冠疫情的影響：

新冠疫情凸顯了個體在心理韌性和脆弱性上的差異，加速了人們對精準心理健康的關注。很明顯，團體層面的心理健康介入措施不足以應對疫情帶來的各種心理影響。遠端資料收集技術使得持續監測個體壓力反應成為可能。在後疫情時代，醫療衛生系統日益認知到個人化風險分層對於有針對性地分配心理健康資源和實施預防性干預措施的重要性。

在預測期內，數位心理健康平台領域預計將佔據最大的市場佔有率。

由於數位心理健康平台覆蓋範圍廣，且用戶群已建立起覆蓋各種心理健康需求的成熟度，預計在預測期內，數位心理健康平台細分市場將佔據最大的市場佔有率。這些平台為提供個人化內容、追蹤症狀以及將用戶與合適的醫療資源連接起來提供了基礎架構。醫療系統和雇主更傾向於選擇整合多種健康功能的平台。基於雲端的交付模式擴充性，能夠在最大限度減少額外基礎設施投資的同時，實現用戶群的快速成長。

預計基因組學和精準醫療領域在預測期內將呈現最高的複合年成長率。

在預測期內，基因組學和精準醫療領域預計將呈現最高的成長率，這主要得益於人們對精神疾病遺傳因素的科學認知不斷加深，以及基因測序技術成本的不斷降低。藥物基因組學檢測將使臨床醫生能夠預測個體對藥物的反應，從而減少副作用和治療失敗率。憂鬱症和焦慮症的多基因風險評分將有助於更精準地進行治療。這些能力將使醫療保健從被動治療轉變為預防性風險管理。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其先進的基因組研究基礎設施和精準醫療框架的早期商業化。美國之所以主導地位，是因為國家心理健康研究所 (NIMH) 對生物標記研究提供了大量資金，並且擁有成熟的消費者基因檢測市場。各大大學附屬醫療中心經營精準精神科診所，並累積了支持商業性應用的臨床證據。針對藥物基因組學檢測的保險報銷試點計畫正在提高醫療服務提供者整合基因組數據的意願。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於其快速發展的數位健康基礎設施以及政府對精準醫療舉措的大力投入。中國和韓國在基因組研究和生物樣本庫建設方面發揮主導作用，為建立特定人群的心理健康風險模型奠定了基礎。日本的高齡化社會正在推動對預測性心理健康分析的需求。新加坡的國家精準醫療計畫正在建立政策框架，以加速基因組資訊驅動的心理健康干預措施的臨床應用。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

企業概況
- 對其他市場參與者（最多 3 家公司）進行全面分析
- 對主要公司進行SWOT分析（最多3家公司）
區域細分
- 根據客戶要求，我們可以提供主要國家的市場估算和預測，以及複合年成長率（註：需經可行性確認）。
競爭性標竿分析
- 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 荷蘭
- 比利時
- 瑞典
- 瑞士
- 波蘭
- 其他歐洲國家
亞太地區
- 中國
- 日本
- 印度
- 韓國
- 澳洲
- 印尼
- 泰國
- 馬來西亞
- 新加坡
- 越南
- 其他亞太國家
南美洲
- 巴西
- 阿根廷
- 哥倫比亞
- 智利
- 秘魯
- 其他南美國家
世界其他地區（RoW）
- 中東
  - 沙烏地阿拉伯
  - 阿拉伯聯合大公國
  - 卡達
  - 以色列
  - 其他中東國家
- 非洲
  - 南非
  - 埃及
  - 摩洛哥
  - 其他非洲國家

第10章戰略市場資訊

工業價值網路和供應鏈評估
空白區域和機會地圖
產品演進與市場生命週期分析
通路、經銷商和打入市場策略的評估

第11章產業趨勢與策略舉措

併購
夥伴關係、聯盟和合資企業
新產品發布和認證
擴大生產能力和投資
其他策略舉措

第12章：公司簡介

Headspace Health
Spring Health
Lyra Health
Modern Health
Talkspace Inc.
Woebot Health
Wysa Ltd.
Koa Health
SilverCloud Health
Akili Interactive
Philips Healthcare
Oracle Health
Microsoft Corporation
GE HealthCare
Siemens Healthineers AG
IBM Corporation
Medtronic plc

簡介目錄圖表

Product Code: SMRC38151

According to Stratistics MRC, the Global Precision Mental Wellness Market is accounted for $3.5 billion in 2026 and is expected to reach $12.4 billion by 2034 growing at a CAGR of 17.1% during the forecast period. Precision mental wellness refers to personalized mental healthcare approaches that leverage individual genetic profiles, biomarker data, behavioral patterns, and environmental factors to tailor prevention, diagnosis, and treatment strategies for optimal psychological outcomes. These solutions integrate artificial intelligence, genomic analysis, digital phenotyping, and predictive analytics to identify personal risk factors and recommend targeted interventions. The technology encompasses personalized therapy platforms, precision psychiatry tools, and remote monitoring systems that enable clinicians to move beyond one-size-fits-all treatment paradigms toward individualized mental health management.

Market Dynamics:

Driver:

Treatment heterogeneity recognition

The growing recognition that mental health conditions exhibit significant individual heterogeneity in treatment response is driving demand for precision mental wellness solutions. Pharmaceutical limitations and trial-and-error prescribing practices in psychiatry create an urgent need for biomarker-guided treatment selection. Consumer expectations for personalized healthcare experiences extend to mental wellness. Advances in genomic research and digital biomarker validation provide a scientific foundation for precision approaches. These converging factors accelerate clinical and commercial adoption.

Restraint:

Limited clinical validation

The limited clinical validation of genomic and biomarker-based mental health predictions creates uncertainty among healthcare providers and payers regarding precision wellness efficacy. Complex data integration requirements across genetic, neuroimaging, behavioral, and environmental domains increase platform development costs and implementation complexity. Privacy concerns surrounding genetic information sharing deter patient participation. This evidence and operational gaps slow mainstream adoption beyond research-oriented academic medical centers and early-adopter health systems.

Opportunity:

Employer benefit integration

The integration of precision mental wellness into employer-sponsored health benefits presents substantial commercial expansion opportunities. Self-insured corporations increasingly invest in predictive mental health analytics to reduce disability claims and improve workforce productivity. Insurance carriers recognize the cost-saving potential of early intervention based on individual risk profiles. Partnerships with benefits administrators and human resources platforms enable scalable deployment across diverse employee populations with varying mental health risk factors.

Threat:

Direct-to-consumer genetics

The emergence of direct-to-consumer genetic testing services that provide unvalidated mental health risk assessments threatens to undermine clinical confidence in precision wellness approaches. Consumer misunderstanding of genetic risk scores may lead to unnecessary anxiety or false reassurance. Regulatory frameworks struggle to keep pace with rapidly evolving genomic applications in mental health. These factors create potential for market confusion and backlash against precision psychiatry commercialization.

Covid-19 Impact:

The COVID-19 pandemic highlighted individual variability in psychological resilience and vulnerability, accelerating interest in precision mental wellness approaches. Population-level mental health interventions proved insufficient for addressing diverse pandemic-related psychological impacts. Remote data collection technologies enabled continuous monitoring of individual stress responses. Post-pandemic, healthcare systems increasingly recognize the value of personalized risk stratification for targeted mental health resource allocation and preventive intervention deployment.

The digital mental health platforms segment is expected to be the largest during the forecast period

The digital mental health platforms segment is expected to account for the largest market share during the forecast period, due to their broad accessibility and established user engagement across diverse mental health needs. These platforms provide foundational infrastructure for delivering personalized content, tracking symptoms, and connecting users with appropriate care resources. Healthcare systems and employers prefer integrated platforms that consolidate multiple wellness functions. The scalability of cloud-based delivery models supports rapid user base expansion with minimal incremental infrastructure investment.

The genomics & precision medicine segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the genomics & precision medicine segment is predicted to witness the highest growth rate, driven by advancing scientific understanding of genetic contributions to mental health conditions and declining cost of genomic sequencing technologies. Pharmacogenomic testing enables clinicians to predict individual medication response profiles, reducing adverse effects and treatment failure rates. Polygenic risk scores for depression and anxiety disorders improve targeting. These capabilities transform mental healthcare from reactive treatment to proactive risk management.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to advanced genomic research infrastructure and early commercialization of precision medicine frameworks. The United States leads with substantial National Institute of Mental Health funding for biomarker research and established direct-to-consumer genetic testing markets. Major academic medical centers operate precision psychiatry clinics that generate clinical evidence supporting commercial adoption. Reimbursement pilots for pharmacogenomic testing expand provider willingness to integrate genomic data.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to rapidly expanding digital health infrastructure and government investment in precision medicine initiatives. China and South Korea lead in genomic research and biobank development that support population-specific mental health risk models. Japan's aging society drives demand for predictive mental health analytics. Singapore's national precision medicine program creates policy frameworks that accelerate clinical adoption of genomics-guided mental wellness interventions.

Key players in the market

Some of the key players in Precision Mental Wellness Market include Headspace Health, Spring Health, Lyra Health, Modern Health, Talkspace Inc., Woebot Health, Wysa Ltd., Koa Health, SilverCloud Health, Akili Interactive, Philips Healthcare, Oracle Health, Microsoft Corporation, GE HealthCare, Siemens Healthineers AG, IBM Corporation and Medtronic plc.

Key Developments:

In June 2026, Headspace Health launched a precision mental wellness platform integrating genomic risk scoring with personalized mindfulness interventions tailored to individual stress response genetic profiles.

In May 2026, Spring Health expanded its precision psychiatry offering to include pharmacogenomic testing that guides medication selection for depression and anxiety treatment based on individual metabolic profiles.

In April 2026, Lyra Health introduced an AI-powered care navigation system that matches employees to precision mental wellness interventions based on digital phenotyping and predictive risk analytics.

Solution Types Covered:

Digital Mental Health Platforms
Precision Psychiatry Solutions
AI-Based Mental Wellness Platforms
Personalized Therapy Platforms
Digital Therapeutics
Remote Mental Health Monitoring

Technologies Covered:

Artificial Intelligence
Machine Learning
Genomics & Precision Medicine
Cloud Computing
Predictive Analytics
Digital Biomarkers
Wearable Device Integration

Applications Covered:

Depression Management
Anxiety Management
Bipolar Disorder Management
Stress Management
Sleep Health Optimization
Addiction Recovery Support
Personalized Behavioral Therapy

End Users Covered:

Hospitals
Mental Health Clinics
Corporate Wellness Programs
Insurance Providers
Individual Consumers
Research Organizations
Other End Users

Regions Covered:

North America
- United States
- Canada
- Mexico
Europe
- United Kingdom
- Germany
- France
- Italy
- Spain
- Netherlands
- Belgium
- Sweden
- Switzerland
- Poland
- Rest of Europe
Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Thailand
- Malaysia
- Singapore
- Vietnam
- Rest of Asia Pacific
South America
- Brazil
- Argentina
- Colombia
- Chile
- Peru
- Rest of South America
Rest of the World (RoW)
- Middle East
Saudi Arabia
United Arab Emirates
Qatar
Israel
Rest of Middle East
- Africa
South Africa
Egypt
Morocco
Rest of Africa

What our report offers:

Market share assessments for the regional and country-level segments
Strategic recommendations for the new entrants
Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
Strategic recommendations in key business segments based on the market estimations
Competitive landscaping mapping the key common trends
Company profiling with detailed strategies, financials, and recent developments
Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

Company Profiling
- Comprehensive profiling of additional market players (up to 3)
- SWOT Analysis of key players (up to 3)
Regional Segmentation
- Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
Competitive Benchmarking
- Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

1 Executive Summary

1.1 Market Snapshot and Key Highlights
1.2 Growth Drivers, Challenges, and Opportunities
1.3 Competitive Landscape Overview
1.4 Strategic Insights and Recommendations

2 Research Framework

2.1 Study Objectives and Scope
2.2 Stakeholder Analysis
2.3 Research Assumptions and Limitations
2.4 Research Methodology
- 2.4.1 Data Collection (Primary and Secondary)
- 2.4.2 Data Modeling and Estimation Techniques
- 2.4.3 Data Validation and Triangulation
- 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

3.1 Market Definition and Structure
3.2 Key Market Drivers
3.3 Market Restraints and Challenges
3.4 Growth Opportunities and Investment Hotspots
3.5 Industry Threats and Risk Assessment
3.6 Technology and Innovation Landscape
3.7 Emerging and High-Growth Markets
3.8 Regulatory and Policy Environment
3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

4.1 Porter's Five Forces Analysis
- 4.1.1 Supplier Bargaining Power
- 4.1.2 Buyer Bargaining Power
- 4.1.3 Threat of Substitutes
- 4.1.4 Threat of New Entrants
- 4.1.5 Competitive Rivalry
4.2 Market Share Analysis of Key Players
4.3 Product Benchmarking and Performance Comparison

5 Global Precision Mental Wellness Market, By Solution Type

5.1 Digital Mental Health Platforms
5.2 Precision Psychiatry Solutions
5.3 AI-Based Mental Wellness Platforms
5.4 Personalized Therapy Platforms
5.5 Digital Therapeutics
5.6 Remote Mental Health Monitoring

6 Global Precision Mental Wellness Market, By Technology

6.1 Artificial Intelligence
6.2 Machine Learning
6.3 Genomics & Precision Medicine
6.4 Cloud Computing
6.5 Predictive Analytics
6.6 Digital Biomarkers
6.7 Wearable Device Integration

7 Global Precision Mental Wellness Market, By Application

7.1 Depression Management
7.2 Anxiety Management
7.3 Bipolar Disorder Management
7.4 Stress Management
7.5 Sleep Health Optimization
7.6 Addiction Recovery Support
7.7 Personalized Behavioral Therapy

8 Global Precision Mental Wellness Market, By End User

8.1 Hospitals
8.2 Mental Health Clinics
8.3 Corporate Wellness Programs
8.4 Insurance Providers
8.5 Individual Consumers
8.6 Research Organizations
8.7 Other End Users

9 Global Precision Mental Wellness Market, By Geography

9.1 North America
- 9.1.1 United States
- 9.1.2 Canada
- 9.1.3 Mexico
9.2 Europe
- 9.2.1 United Kingdom
- 9.2.2 Germany
- 9.2.3 France
- 9.2.4 Italy
- 9.2.5 Spain
- 9.2.6 Netherlands
- 9.2.7 Belgium
- 9.2.8 Sweden
- 9.2.9 Switzerland
- 9.2.10 Poland
- 9.2.11 Rest of Europe
9.3 Asia Pacific
- 9.3.1 China
- 9.3.2 Japan
- 9.3.3 India
- 9.3.4 South Korea
- 9.3.5 Australia
- 9.3.6 Indonesia
- 9.3.7 Thailand
- 9.3.8 Malaysia
- 9.3.9 Singapore
- 9.3.10 Vietnam
- 9.3.11 Rest of Asia Pacific
9.4 South America
- 9.4.1 Brazil
- 9.4.2 Argentina
- 9.4.3 Colombia
- 9.4.4 Chile
- 9.4.5 Peru
- 9.4.6 Rest of South America
9.5 Rest of the World (RoW)
- 9.5.1 Middle East
  - 9.5.1.1 Saudi Arabia
  - 9.5.1.2 United Arab Emirates
  - 9.5.1.3 Qatar
  - 9.5.1.4 Israel
  - 9.5.1.5 Rest of Middle East
- 9.5.2 Africa
  - 9.5.2.1 South Africa
  - 9.5.2.2 Egypt
  - 9.5.2.3 Morocco
  - 9.5.2.4 Rest of Africa

10 Strategic Market Intelligence

10.1 Industry Value Network and Supply Chain Assessment
10.2 White-Space and Opportunity Mapping
10.3 Product Evolution and Market Life Cycle Analysis
10.4 Channel, Distributor, and Go-to-Market Assessment

11 Industry Developments and Strategic Initiatives

11.1 Mergers and Acquisitions
11.2 Partnerships, Alliances, and Joint Ventures
11.3 New Product Launches and Certifications
11.4 Capacity Expansion and Investments
11.5 Other Strategic Initiatives

12 Company Profiles

12.1 Headspace Health
12.2 Spring Health
12.3 Lyra Health
12.4 Modern Health
12.5 Talkspace Inc.
12.6 Woebot Health
12.7 Wysa Ltd.
12.8 Koa Health
12.9 SilverCloud Health
12.10 Akili Interactive
12.11 Philips Healthcare
12.12 Oracle Health
12.13 Microsoft Corporation
12.14 GE HealthCare
12.15 Siemens Healthineers AG
12.16 IBM Corporation
12.17 Medtronic plc

簡介目錄圖表

List of Tables

Table 1 Global Precision Mental Wellness Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global Precision Mental Wellness Market Outlook, By Solution Type (2023-2034) ($MN)
Table 3 Global Precision Mental Wellness Market Outlook, By Digital Mental Health Platforms (2023-2034) ($MN)
Table 4 Global Precision Mental Wellness Market Outlook, By Precision Psychiatry Solutions (2023-2034) ($MN)
Table 5 Global Precision Mental Wellness Market Outlook, By AI-Based Mental Wellness Platforms (2023-2034) ($MN)
Table 6 Global Precision Mental Wellness Market Outlook, By Personalized Therapy Platforms (2023-2034) ($MN)
Table 7 Global Precision Mental Wellness Market Outlook, By Digital Therapeutics (2023-2034) ($MN)
Table 8 Global Precision Mental Wellness Market Outlook, By Remote Mental Health Monitoring (2023-2034) ($MN)
Table 9 Global Precision Mental Wellness Market Outlook, By Technology (2023-2034) ($MN)
Table 10 Global Precision Mental Wellness Market Outlook, By Artificial Intelligence (2023-2034) ($MN)
Table 11 Global Precision Mental Wellness Market Outlook, By Machine Learning (2023-2034) ($MN)
Table 12 Global Precision Mental Wellness Market Outlook, By Genomics & Precision Medicine (2023-2034) ($MN)
Table 13 Global Precision Mental Wellness Market Outlook, By Cloud Computing (2023-2034) ($MN)
Table 14 Global Precision Mental Wellness Market Outlook, By Predictive Analytics (2023-2034) ($MN)
Table 15 Global Precision Mental Wellness Market Outlook, By Digital Biomarkers (2023-2034) ($MN)
Table 16 Global Precision Mental Wellness Market Outlook, By Wearable Device Integration (2023-2034) ($MN)
Table 17 Global Precision Mental Wellness Market Outlook, By Application (2023-2034) ($MN)
Table 18 Global Precision Mental Wellness Market Outlook, By Depression Management (2023-2034) ($MN)
Table 19 Global Precision Mental Wellness Market Outlook, By Anxiety Management (2023-2034) ($MN)
Table 20 Global Precision Mental Wellness Market Outlook, By Bipolar Disorder Management (2023-2034) ($MN)
Table 21 Global Precision Mental Wellness Market Outlook, By Stress Management (2023-2034) ($MN)
Table 22 Global Precision Mental Wellness Market Outlook, By Sleep Health Optimization (2023-2034) ($MN)
Table 23 Global Precision Mental Wellness Market Outlook, By Addiction Recovery Support (2023-2034) ($MN)
Table 24 Global Precision Mental Wellness Market Outlook, By Personalized Behavioral Therapy (2023-2034) ($MN)
Table 25 Global Precision Mental Wellness Market Outlook, By End User (2023-2034) ($MN)
Table 26 Global Precision Mental Wellness Market Outlook, By Hospitals (2023-2034) ($MN)
Table 27 Global Precision Mental Wellness Market Outlook, By Mental Health Clinics (2023-2034) ($MN)
Table 28 Global Precision Mental Wellness Market Outlook, By Corporate Wellness Programs (2023-2034) ($MN)
Table 29 Global Precision Mental Wellness Market Outlook, By Insurance Providers (2023-2034) ($MN)
Table 30 Global Precision Mental Wellness Market Outlook, By Individual Consumers (2023-2034) ($MN)
Table 31 Global Precision Mental Wellness Market Outlook, By Research Organizations (2023-2034) ($MN)
Table 32 Global Precision Mental Wellness Market Outlook, By Other End Users (2023-2034) ($MN)