Global AI in Patient Management Market Research Report 2025(Status and Outlook)
Description
Report Overview
AI in patient management refers to the use of artificial intelligence technologies such as machine learning, natural language processing, and predictive analytics to optimize and streamline healthcare processes related to patient care. This includes tasks such as patient monitoring, diagnosis, treatment planning, and personalized medicine. AI in patient management aims to improve the quality of care, enhance patient outcomes, reduce medical errors, and increase operational efficiency within healthcare organizations. By leveraging AI algorithms and data analysis, healthcare providers can make more informed decisions, deliver more personalized care, and ultimately improve the overall patient experience.
The market for AI in patient management is experiencing significant growth and is driven by several key factors. One of the main market trends is the increasing adoption of digital health technologies and the growing demand for innovative solutions to address the challenges faced by the healthcare industry. AI technologies offer healthcare providers the ability to analyze large volumes of data quickly and accurately, leading to more precise diagnoses and treatment recommendations. Additionally, the rise of telemedicine and remote patient monitoring has created opportunities for AI to play a crucial role in managing patient care outside of traditional healthcare settings. Moreover, the ongoing advancements in AI algorithms and the increasing availability of healthcare data are further fueling the adoption of AI in patient management.
At the same time, market drivers such as the growing prevalence of chronic diseases, the aging population, and the need to reduce healthcare costs are pushing healthcare organizations to invest in AI solutions for patient management. AI technologies have the potential to revolutionize healthcare delivery by enabling proactive and personalized care, improving clinical decision-making, and optimizing resource allocation. Furthermore, regulatory initiatives promoting the use of electronic health records and interoperability are driving the integration of AI tools into existing healthcare systems. As the benefits of AI in patient management become more evident, the market is expected to continue expanding, with more healthcare providers recognizing the value of AI in transforming the way patient care is delivered and managed.
This report provides a deep insight into the global AI in Patient Management market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, value chain analysis, etc.
The analysis helps the reader to shape the competition within the industries and strategies for the competitive environment to enhance the potential profit. Furthermore, it provides a simple framework for evaluating and accessing the position of the business organization. The report structure also focuses on the competitive landscape of the Global AI in Patient Management Market, this report introduces in detail the market share, market performance, product situation, operation situation, etc. of the main players, which helps the readers in the industry to identify the main competitors and deeply understand the competition pattern of the market.
In a word, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the AI in Patient Management market in any manner.
Global AI in Patient Management Market: Market Segmentation Analysis
The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.
Key Company
Welltok
Inc. (Virgin Pulse)
Intel Corporation
Nvidia Corporation
Google Inc.
IBM Corporation
Microsoft Corporation
General Vision
Inc.
Enlitic
Inc.
Next IT Corporation
iCarbonX
Octopus.Health
Sweetch Health Ltd.
Superwise.ai
Market Segmentation (by Type)
Hardware
Software and Services
Market Segmentation (by Application)
Health Record Analysis
Pattern Analysis
Location Based Analysis
Social Background
History Based Appointment Generation
Others
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the AI in Patient Management Market
Overview of the regional outlook of the AI in Patient Management Market:
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value (USD Billion) data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the AI in Patient Management Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.
Chapter 5 introduces the latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 8 provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 9 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 10 provides a quantitative analysis of the market size and development potential of each region in the next five years.
Chapter 11 provides a quantitative analysis of the market size and development potential of each market segment (product type and application) in the next five years.
Chapter 12 is the main points and conclusions of the report.
AI in patient management refers to the use of artificial intelligence technologies such as machine learning, natural language processing, and predictive analytics to optimize and streamline healthcare processes related to patient care. This includes tasks such as patient monitoring, diagnosis, treatment planning, and personalized medicine. AI in patient management aims to improve the quality of care, enhance patient outcomes, reduce medical errors, and increase operational efficiency within healthcare organizations. By leveraging AI algorithms and data analysis, healthcare providers can make more informed decisions, deliver more personalized care, and ultimately improve the overall patient experience.
The market for AI in patient management is experiencing significant growth and is driven by several key factors. One of the main market trends is the increasing adoption of digital health technologies and the growing demand for innovative solutions to address the challenges faced by the healthcare industry. AI technologies offer healthcare providers the ability to analyze large volumes of data quickly and accurately, leading to more precise diagnoses and treatment recommendations. Additionally, the rise of telemedicine and remote patient monitoring has created opportunities for AI to play a crucial role in managing patient care outside of traditional healthcare settings. Moreover, the ongoing advancements in AI algorithms and the increasing availability of healthcare data are further fueling the adoption of AI in patient management.
At the same time, market drivers such as the growing prevalence of chronic diseases, the aging population, and the need to reduce healthcare costs are pushing healthcare organizations to invest in AI solutions for patient management. AI technologies have the potential to revolutionize healthcare delivery by enabling proactive and personalized care, improving clinical decision-making, and optimizing resource allocation. Furthermore, regulatory initiatives promoting the use of electronic health records and interoperability are driving the integration of AI tools into existing healthcare systems. As the benefits of AI in patient management become more evident, the market is expected to continue expanding, with more healthcare providers recognizing the value of AI in transforming the way patient care is delivered and managed.
This report provides a deep insight into the global AI in Patient Management market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, value chain analysis, etc.
The analysis helps the reader to shape the competition within the industries and strategies for the competitive environment to enhance the potential profit. Furthermore, it provides a simple framework for evaluating and accessing the position of the business organization. The report structure also focuses on the competitive landscape of the Global AI in Patient Management Market, this report introduces in detail the market share, market performance, product situation, operation situation, etc. of the main players, which helps the readers in the industry to identify the main competitors and deeply understand the competition pattern of the market.
In a word, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the AI in Patient Management market in any manner.
Global AI in Patient Management Market: Market Segmentation Analysis
The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.
Key Company
Welltok
Inc. (Virgin Pulse)
Intel Corporation
Nvidia Corporation
Google Inc.
IBM Corporation
Microsoft Corporation
General Vision
Inc.
Enlitic
Inc.
Next IT Corporation
iCarbonX
Octopus.Health
Sweetch Health Ltd.
Superwise.ai
Market Segmentation (by Type)
Hardware
Software and Services
Market Segmentation (by Application)
Health Record Analysis
Pattern Analysis
Location Based Analysis
Social Background
History Based Appointment Generation
Others
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the AI in Patient Management Market
Overview of the regional outlook of the AI in Patient Management Market:
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value (USD Billion) data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the AI in Patient Management Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.
Chapter 5 introduces the latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 8 provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 9 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 10 provides a quantitative analysis of the market size and development potential of each region in the next five years.
Chapter 11 provides a quantitative analysis of the market size and development potential of each market segment (product type and application) in the next five years.
Chapter 12 is the main points and conclusions of the report.
Table of Contents
132 Pages
- 1 Research Methodology and Statistical Scope
- 1.1 Market Definition and Statistical Scope of AI in Patient Management
- 1.2 Key Market Segments
- 1.2.1 AI in Patient Management Segment by Type
- 1.2.2 AI in Patient Management Segment by Application
- 1.3 Methodology & Sources of Information
- 1.3.1 Research Methodology
- 1.3.2 Research Process
- 1.3.3 Market Breakdown and Data Triangulation
- 1.3.4 Base Year
- 1.3.5 Report Assumptions & Caveats
- 2 AI in Patient Management Market Overview
- 2.1 Global Market Overview
- 2.2 Market Segment Executive Summary
- 2.3 Global Market Size by Region
- 3 AI in Patient Management Market Competitive Landscape
- 3.1 Company Assessment Quadrant
- 3.2 Global AI in Patient Management Product Life Cycle
- 3.3 Global AI in Patient Management Revenue Market Share by Company (2020-2025)
- 3.4 AI in Patient Management Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
- 3.5 AI in Patient Management Company Headquarters, Area Served, Product Type
- 3.6 AI in Patient Management Market Competitive Situation and Trends
- 3.6.1 AI in Patient Management Market Concentration Rate
- 3.6.2 Global 5 and 10 Largest AI in Patient Management Players Market Share by Revenue
- 3.6.3 Mergers & Acquisitions, Expansion
- 4 AI in Patient Management Value Chain Analysis
- 4.1 AI in Patient Management Value Chain Analysis
- 4.2 Midstream Market Analysis
- 4.3 Downstream Customer Analysis
- 5 The Development and Dynamics of AI in Patient Management Market
- 5.1 Key Development Trends
- 5.2 Driving Factors
- 5.3 Market Challenges
- 5.4 Market Restraints
- 5.5 Industry News
- 5.5.1 New Product Developments
- 5.5.2 Mergers & Acquisitions
- 5.5.3 Expansions
- 5.5.4 Collaboration/Supply Contracts
- 5.6 PEST Analysis
- 5.6.1 Industry Policies Analysis
- 5.6.2 Economic Environment Analysis
- 5.6.3 Social Environment Analysis
- 5.6.4 Technological Environment Analysis
- 5.7 Global AI in Patient Management Market Porter's Five Forces Analysis
- 6 AI in Patient Management Market Segmentation by Type
- 6.1 Evaluation Matrix of Segment Market Development Potential (Type)
- 6.2 Global AI in Patient Management Market Size Market Share by Type (2020-2025)
- 6.3 Global AI in Patient Management Market Size Growth Rate by Type (2021-2025)
- 7 AI in Patient Management Market Segmentation by Application
- 7.1 Evaluation Matrix of Segment Market Development Potential (Application)
- 7.2 Global AI in Patient Management Market Size (M USD) by Application (2020-2025)
- 7.3 Global AI in Patient Management Sales Growth Rate by Application (2020-2025)
- 8 AI in Patient Management Market Segmentation by Region
- 8.1 Global AI in Patient Management Market Size by Region
- 8.1.1 Global AI in Patient Management Market Size by Region
- 8.1.2 Global AI in Patient Management Market Size Market Share by Region
- 8.2 North America
- 8.2.1 North America AI in Patient Management Market Size by Country
- 8.2.2 U.S.
- 8.2.3 Canada
- 8.2.4 Mexico
- 8.3 Europe
- 8.3.1 Europe AI in Patient Management Market Size by Country
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 U.K.
- 8.3.5 Italy
- 8.3.6 Russia
- 8.4 Asia Pacific
- 8.4.1 Asia Pacific AI in Patient Management Market Size by Region
- 8.4.2 China
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 India
- 8.4.6 Southeast Asia
- 8.5 South America
- 8.5.1 South America AI in Patient Management Market Size by Country
- 8.5.2 Brazil
- 8.5.3 Argentina
- 8.5.4 Columbia
- 8.6 Middle East and Africa
- 8.6.1 Middle East and Africa AI in Patient Management Market Size by Region
- 8.6.2 Saudi Arabia
- 8.6.3 UAE
- 8.6.4 Egypt
- 8.6.5 Nigeria
- 8.6.6 South Africa
- 9 Key Companies Profile
- 9.1 Welltok
- 9.1.1 Welltok Basic Information
- 9.1.2 Welltok AI in Patient Management Product Overview
- 9.1.3 Welltok AI in Patient Management Product Market Performance
- 9.1.4 Welltok AI in Patient Management SWOT Analysis
- 9.1.5 Welltok Business Overview
- 9.1.6 Welltok Recent Developments
- 9.2 Inc. (Virgin Pulse)
- 9.2.1 Inc. (Virgin Pulse) Basic Information
- 9.2.2 Inc. (Virgin Pulse) AI in Patient Management Product Overview
- 9.2.3 Inc. (Virgin Pulse) AI in Patient Management Product Market Performance
- 9.2.4 Inc. (Virgin Pulse) AI in Patient Management SWOT Analysis
- 9.2.5 Inc. (Virgin Pulse) Business Overview
- 9.2.6 Inc. (Virgin Pulse) Recent Developments
- 9.3 Intel Corporation
- 9.3.1 Intel Corporation Basic Information
- 9.3.2 Intel Corporation AI in Patient Management Product Overview
- 9.3.3 Intel Corporation AI in Patient Management Product Market Performance
- 9.3.4 Intel Corporation AI in Patient Management SWOT Analysis
- 9.3.5 Intel Corporation Business Overview
- 9.3.6 Intel Corporation Recent Developments
- 9.4 Nvidia Corporation
- 9.4.1 Nvidia Corporation Basic Information
- 9.4.2 Nvidia Corporation AI in Patient Management Product Overview
- 9.4.3 Nvidia Corporation AI in Patient Management Product Market Performance
- 9.4.4 Nvidia Corporation Business Overview
- 9.4.5 Nvidia Corporation Recent Developments
- 9.5 Google Inc.
- 9.5.1 Google Inc. Basic Information
- 9.5.2 Google Inc. AI in Patient Management Product Overview
- 9.5.3 Google Inc. AI in Patient Management Product Market Performance
- 9.5.4 Google Inc. Business Overview
- 9.5.5 Google Inc. Recent Developments
- 9.6 IBM Corporation
- 9.6.1 IBM Corporation Basic Information
- 9.6.2 IBM Corporation AI in Patient Management Product Overview
- 9.6.3 IBM Corporation AI in Patient Management Product Market Performance
- 9.6.4 IBM Corporation Business Overview
- 9.6.5 IBM Corporation Recent Developments
- 9.7 Microsoft Corporation
- 9.7.1 Microsoft Corporation Basic Information
- 9.7.2 Microsoft Corporation AI in Patient Management Product Overview
- 9.7.3 Microsoft Corporation AI in Patient Management Product Market Performance
- 9.7.4 Microsoft Corporation Business Overview
- 9.7.5 Microsoft Corporation Recent Developments
- 9.8 General Vision
- 9.8.1 General Vision Basic Information
- 9.8.2 General Vision AI in Patient Management Product Overview
- 9.8.3 General Vision AI in Patient Management Product Market Performance
- 9.8.4 General Vision Business Overview
- 9.8.5 General Vision Recent Developments
- 9.9 Inc.
- 9.9.1 Inc. Basic Information
- 9.9.2 Inc. AI in Patient Management Product Overview
- 9.9.3 Inc. AI in Patient Management Product Market Performance
- 9.9.4 Inc. Business Overview
- 9.9.5 Inc. Recent Developments
- 9.10 Enlitic
- 9.10.1 Enlitic Basic Information
- 9.10.2 Enlitic AI in Patient Management Product Overview
- 9.10.3 Enlitic AI in Patient Management Product Market Performance
- 9.10.4 Enlitic Business Overview
- 9.10.5 Enlitic Recent Developments
- 9.11 Inc.
- 9.11.1 Inc. Basic Information
- 9.11.2 Inc. AI in Patient Management Product Overview
- 9.11.3 Inc. AI in Patient Management Product Market Performance
- 9.11.4 Inc. Business Overview
- 9.11.5 Inc. Recent Developments
- 9.12 Next IT Corporation
- 9.12.1 Next IT Corporation Basic Information
- 9.12.2 Next IT Corporation AI in Patient Management Product Overview
- 9.12.3 Next IT Corporation AI in Patient Management Product Market Performance
- 9.12.4 Next IT Corporation Business Overview
- 9.12.5 Next IT Corporation Recent Developments
- 9.13 iCarbonX
- 9.13.1 iCarbonX Basic Information
- 9.13.2 iCarbonX AI in Patient Management Product Overview
- 9.13.3 iCarbonX AI in Patient Management Product Market Performance
- 9.13.4 iCarbonX Business Overview
- 9.13.5 iCarbonX Recent Developments
- 9.14 Octopus.Health
- 9.14.1 Octopus.Health Basic Information
- 9.14.2 Octopus.Health AI in Patient Management Product Overview
- 9.14.3 Octopus.Health AI in Patient Management Product Market Performance
- 9.14.4 Octopus.Health Business Overview
- 9.14.5 Octopus.Health Recent Developments
- 9.15 Sweetch Health Ltd.
- 9.15.1 Sweetch Health Ltd. Basic Information
- 9.15.2 Sweetch Health Ltd. AI in Patient Management Product Overview
- 9.15.3 Sweetch Health Ltd. AI in Patient Management Product Market Performance
- 9.15.4 Sweetch Health Ltd. Business Overview
- 9.15.5 Sweetch Health Ltd. Recent Developments
- 9.16 Superwise.ai
- 9.16.1 Superwise.ai Basic Information
- 9.16.2 Superwise.ai AI in Patient Management Product Overview
- 9.16.3 Superwise.ai AI in Patient Management Product Market Performance
- 9.16.4 Superwise.ai Business Overview
- 9.16.5 Superwise.ai Recent Developments
- 10 AI in Patient Management Market Forecast by Region
- 10.1 Global AI in Patient Management Market Size Forecast
- 10.2 Global AI in Patient Management Market Forecast by Region
- 10.2.1 North America Market Size Forecast by Country
- 10.2.2 Europe AI in Patient Management Market Size Forecast by Country
- 10.2.3 Asia Pacific AI in Patient Management Market Size Forecast by Region
- 10.2.4 South America AI in Patient Management Market Size Forecast by Country
- 10.2.5 Middle East and Africa Forecasted Sales of AI in Patient Management by Country
- 11 Forecast Market by Type and by Application (2026-2033)
- 11.1 Global AI in Patient Management Market Forecast by Type (2026-2033)
- 11.2 Global AI in Patient Management Market Forecast by Application (2026-2033)
- 12 Conclusion and Key Findings
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