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Metabolic Disorder Therapeutics Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

Publisher Global Market Insights
Published Dec 09, 2024
Length 135 Pages
SKU # GMI19463491

Description

Metabolic Disorder Therapeutics Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032


Metabolic Disorder Therapeutics Market size will record 7.5% CAGR between 2024 and 2032, led by significant investments in R&D by pharmaceutical and biotechnology companies to foster innovations. To cite an instance, in November 2023, Biolexis Therapeutics, Inc. secured $10 million in funding to advance its metabolic drug development. Rising collaborations between the industry players and academia are also making way for new discoveries and advancements in metabolic disorder therapeutics. The increase in clinical trials is expanding the pipeline of potential treatments for providing new options for patients, further shaping the market growth.

The metabolic disorder therapeutics industry is classified into disease, therapy type, route of administration, end-user, and region.

In terms of disease, the market size from the obesity segment may record a robust CAGR from 2024 to 2032 owing to the advances in pharmacotherapy, surgical techniques, and integrated care models for improving outcomes for patients. The emerging research in genetic and microbiome is also influencing future breakthroughs, making the management of obesity more effective and personalized, subsequently adding to the segment growth.

By end-user, the metabolic disorder therapeutics industry value from the specialty clinics segment will expand through 2032, due to their rising preference for offering specialized, comprehensive, and patient-centered care. Specialty clinics are actively implementing innovative therapies and treatments for metabolic disorders, such as the use of novel pharmacological agents, minimally invasive procedures, and advanced surgical techniques. These clinics also offer chronic care management programs to monitor progress, adjust treatment plans as needed, and address any emerging health issues promptly.

Asia Pacific metabolic disorder therapeutics market size may witness significant CAGR through 2032. This can mainly be ascribed to the increasing burden of metabolic disorders like diabetes, obesity, hyperlipidemia, and metabolic syndrome driven by changing lifestyles, dietary habits and the aging population. The surging government initiatives and public health campaigns are also playing a crucial role in educating the population about metabolic disorders, adding to the regional industry growth.

Table of Contents

135 Pages
Chapter 1 Methodology
1.1 Market segmentation
1.2 Market definitions
1.3 Research design
1.4 Market size estimates and calculations
1.4.1 Approach 1: Company share analysis
1.4.2 Approach 2: Bottom-up approach
1.5 Key trends for market estimates
1.6 Forecast model
1.7 Primary research & validation
1.7.1 Primary sources
1.7.2 Data mining sources
1.7.2.1 Paid sources
1.7.2.2 Public sources
Chapter 2 Executive Summary
2.1 Industry 360° synopsis, 2018 - 2032
2.2 Software type trends
2.3 Modality trends
2.4 Imaging type trends
2.5 Application trends
2.6 End user trends
2.7 Regional trends
Chapter 3 Medical Image Analysis Software Industry Insights
3.1 Industry ecosystem analysis
3.2 Industry impact forces
3.2.1 Growth drivers
3.2.1.1 Increasing incidence of chronic diseases
3.2.1.2 Increasing global geriatric population
3.2.1.3 Growing need for faster validation of results and better diagnostic capabilities
3.2.1.4 Expanding demand for non-invasive diagnostic tools
3.2.1.5 Growing demand for telemedicine and remote healthcare services
3.2.2 Industry pitfalls & challenges
3.2.2.1 Integration complexity
3.2.2.2 Data security and privacy concerns
3.3 Growth potential analysis
3.3.1 By software type
3.3.2 By modality
3.3.3 By imaging type
3.3.4 By application
3.3.5 By end user
3.4 Regulatory landscape
3.4.1 U.S.
3.4.2 Europe
3.5 Porter's analysis
3.6 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
4.1 Introduction
4.2 Company matrix analysis
4.3 Competitive analysis of major market players
4.4 Competitive positioning matrix
4.5 Strategy dashboard
Chapter 5 Medical Image Analysis Software Market, By Software Type
5.1 Integrated
5.2 Standalone
Chapter 6 Medical Image Analysis Software Market, By Modality
6.1 Tomography
6.1.1 Computed tomography
6.1.1.1 High-slice
6.1.1.2 Mid-slice
6.1.1.3 Low-slice
6.1.1.4 Cone beam
6.1.2 Magnetic resonance imaging
6.1.2.1 Open system
6.1.2.2 Closed system
6.1.3 Positron emission tomography
6.1.4 Single-photon emission tomography
6.2 Ultrasound imaging
6.2.1 2D
6.2.2 3D&4D
6.2.3 Doppler
6.3 Radiographic imaging
6.4 Combined modalities
6.4.1 PET/MR
6.4.2 SPECT/CT
6.4.3 PET/CT
Chapter 7 Medical Image Analysis Software Market, By Imaging Type
7.1 2D
7.2 3D
7.3 4D
Chapter 8 Medical Image Analysis Software Market, By Application
8.1 Orthopedic
8.2 Dental
8.3 Neurology
8.4 Cardiology
8.5 Oncology
8.6 Obstetrics and gynecology
8.7 Mammography
8.8 Respiratory
8.9 Other applications
Chapter 9 Medical Image Analysis Software Market, By End User
9.1 Hospitals
9.2 Diagnostic centers
9.3 Ambulatory surgical centers
9.4 Other end users
Chapter 10 Medical Image Analysis Software Market, By Region
10.1 North America
10.2 Europe
10.3 Asia Pacific
10.4 Latin America
10.5 Middle East and Africa
Chapter 11 Company Profiles
11.1 Aidoc
11.1.1 Global overview
11.1.2 Business overview
11.1.3 Financial data
11.1.4 Product landscape
11.1.5 Strategic outlook
11.1.6 SWOT analysis
11.2 Canon Inc.
11.2.1 Global overview
11.2.2 Business overview
11.2.3 Financial data
11.2.3.1 Annual sales revenue, 2020-2023 (USD Million)
11.2.4 Product landscape
11.2.5 Strategic outlook
11.2.6 SWOT analysis
11.3 Viz.ai
11.3.1 Global overview
11.3.2 Business overview
11.3.3 Financial data
11.3.4 Product landscape
11.3.5 SWOT analysis
11.4 Clario
11.4.1 Global overview
11.4.2 Business overview
11.4.3 Financial data
11.4.4 Product landscape
11.4.5 Strategic outlook
11.4.6 SWOT analysis
11.5 Danaher Corporation
11.5.1 Global overview
11.5.2 Business overview
11.5.3 Financial data
11.5.3.1 Annual sales revenue, 2020 - 2023 (USD Million)
11.5.4 Product landscape
11.5.5 Strategic outlook
11.5.6 SWOT analysis
11.6 EMEDICA
11.6.1 Global overview
11.6.2 Business overview
11.6.3 Financial data
11.6.4 Product landscape
11.6.5 SWOT analysis
11.7 Esaote SPA
11.7.1 Global overview
11.7.2 Business overview
11.7.3 Financial data
11.7.4 Product landscape
11.7.5 SWOT analysis
11.8 Evident Corporation
11.8.1 Global overview
11.8.2 Business overview
11.8.1 Financial data
11.8.2 Product landscape
11.8.3 Strategic outlook
11.8.4 SWOT analysis
11.9 GE HealthCare
11.9.1 Global overview
11.9.2 Business overview
11.9.3 Financial data
11.9.3.1 Annual sales revenue, 2020-2023 (USD Million)
11.9.4 Product landscape
11.9.5 Strategic outlook
11.9.6 SWOT analysis
11.10 HeartFlow, Inc.
11.10.1 Global overview
11.10.2 Business overview
11.10.3 Financial data
11.10.4 Product landscape
11.10.5 Strategic outlook
11.10.6 SWOT analysis
11.11 Koninklijke Philips N.V.
11.11.1 Global overview
11.11.2 Business overview
11.11.3 Financial data
11.11.3.1 Annual sales revenue, 2020-2023 (USD Million)
11.11.4 Product landscape
11.11.5 Strategic outlook
11.11.6 SWOT analysis
11.12 Medis Medical Imaging Systems
11.12.1 Global overview
11.12.2 Business overview
11.12.3 Financial data
11.12.4 Product landscape
11.12.5 Strategic outlook
11.12.6 SWOT analysis
11.13 Siemens Healthineers AG
11.13.1 Global overview
11.13.2 Business overview
11.13.3 Financial data
11.13.3.1 Annual sales revenue, 2020-2023 (USD Million)
11.13.4 Product landscape
11.13.5 Strategic outlook
11.13.6 SWOT analysis
11.14 TeraRecon
11.14.1 Global overview
11.14.2 Business overview
11.14.3 Financial data
11.14.4 Product landscape
11.14.5 Strategic outlook
11.14.1 SWOT analysis
11.15 Thermo Fisher Scientific Inc.
11.15.1 Global overview
11.15.2 Business overview
11.15.3 Financial data
11.15.3.1 Annual sales revenue, 2020-2023 (USD Million)
11.15.4 Product landscape
11.15.5 SWOT analysis

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