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The global healthcare companion robots market will most likely garner a market value of US$ 2.24 Billion in 2023 and is expected to accumulate a market value of US$ 11.73 Billion by registering a CAGR of 18% in the forecast period 2023 to 2033. Growth of the healthcare companion robots market can be attributed to increasing disposable income, improving healthcare infrastructure along with the rise in the geriatric population. The market for healthcare companion robots registered a CAGR of 10% in the historical period 2018 to 2022.
Technological advancements are playing a key role in the wide adoption of healthcare companion robots for the geriatric population, children, and people with disability. This has led to the market gaining traction in the last few years. In addition, the COVID-19 pandemic too contributed to fueling the demand for the market.
Report Attribute | Details |
---|---|
Expected Market Value (2023) | US$ 2.24 Billion |
Anticipated Forecast Value (2033) | US$ 11.73 Billion |
Projected Growth Rate (2023 to 2033) | 18% CAGR |
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According to market research and competitive intelligence provider Future Market Insights- the market for healthcare companion robots reflected a value of 10% during the historical period, 2018 to 2022. dental virtual visits have enabled the reach of oral healthcare in underserved areas of developing countries.
The outbreak of COVID-19 positively impacted the market growth. The lockdown and social distancing imposed by the government resulted in social isolation and feeling of loneliness. This raised the acceptance of companion robots as it helped to fill in the gaps and reduce loneliness, especially in the elderly population. Also, they were used to assist the therapies in order to improve the mental condition of people and help them to overcome anxiety issues. Moreover, they are also used for monitoring health remotely and managing medication. Thus, the market for healthcare companion robots is expected to register a CAGR of 18% in the forecast period 2023 to 2033.
Companion robots reduce loneliness and offer support to patients of all age groups
Companion robot helps to enhance well-being and quality of life through their assistance features. It mainly provides cognitive support, mobility support, and relaxation. Also, it helps in monitoring health and provides self-care support through interaction. The rising geriatric population across the globe and the limited number of healthcare professionals to care for the older population, particularly in countries like Japan is likely to raise the demand for companion robots. Furthermore, various initiatives undertaken by the government are supporting market growth.
Technological advancement in the field of medical robotics is another factor driving market growth. Various robotic products are developed to assist patients and improve their outcomes. For instance, Service Robotics, a United Kingdom-based startup offers medical care robotics as a service (RaaS). The company developed a humanoid robot GenieConnect, an AI-based voice and video robot that provides engagement and stimuli to promote cognitive retention. Also, it helps in alleviating loneliness. In addition, it integrates with smart home devices and wearables to provide comprehensive and personalized care for users.
Robot Companions helping Disabled and Geriatric Population to Function Independently
Furthermore, the rising rate of people suffering from disabilities is another factor driving the companion robots market. As per the World Health Organization, 1 in 7 people experience some kind of disability. Companion robot helps to improve the life of such people by assisting them. As per the International Robotics Federation, about 34,000 assistance robots were mainstreamed during the period between 2019 and 2021 so as to facilitate people suffering from disabilities.
In addition, the development of innovative products by key players is impelling market growth. For instance, in June 2021, Hanson Robotics launched a robot Grace. It is designed to interact with elderly people and isolated COVID-19 patients. Similarly, the Kaspar robot developed by the University of Hertfordshire is a humanoid robot that acts as a companion to improve the lives of children with autism and other communication difficulties. Such initiatives are expected to impel market growth in the forecast period.
Expensive nature and unskilled geriatric population affecting the growth of the healthcare companion robots market
Although healthcare companion robots are becoming popular, their commercialization of the same is expensive. Moreover, certain people with disability have not shown keen interest in investing in healthcare companion robots as it adds to the stigma and intensifies the same.
The usability factor of healthcare companion robots is being questioned as the geriatric population finds it difficult to get accustomed to technology. Furthermore, robots with lesser functions are not finding buyers owing to the constant development of the healthcare companion robots market.
Government Initiatives supporting the use of Healthcare Robots in the Asia Pacific
In 2023, Asia Pacific is expected to dominate the healthcare companion robots market with a share of 50%. The increasing geriatric population in the region and various initiatives undertaken by the government for the development of companion robots to support the elderly population are the major factors contributing to the dominance.
For instance, in September 2022, Myongji Hospital, a healthcare institution in South Korea is working on the development of an AI-driven care robot to assist patients with dementia. Also, the local governments in South Korea have provided companion robots to single persons and those who are living with mental health issues to support their well-being. In addition, the declining rate of healthcare providers in countries like Japan has raised the demand for robots in healthcare facilities.
Development of innovative products creating lucrative opportunities for the healthcare companion robots market in North America
North America is expected to witness the fastest growth rate owing to the increasing demand for humanoid robots in healthcare facilities, the presence of well-developed healthcare infrastructure, and increasing investment by key companies to develop innovative products. Also, the initiatives undertaken by the government for the deployment of companion robots to support the lives of the elderly population are expected to impel the market over a forecast period.
The proliferation of artificial intelligence (AI) and machine learning technologies will enable more advanced features in companion robots, thereby driving their demand. Growing awareness about the benefits of using companion robots is likely to fuel their uptake over the forecast period. Rapid advancements in robotics technology are anticipated to result in declining prices of companion robots, making them more affordable for a wider audience. Thus, North America is expected to possess a 41% market share of the healthcare companion robots market in 2023.
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Children and the geriatric population benefit from using humanoid robots
By type, the humanoid segment is expected to hold the largest share of nearly 75% in 2023 due to the benefits offered by these robots such as perfection and minimum human errors. These robots are used for the implementation of techno-psychological distraction for children during a medical procedure as it helps to reduce the pain resulting from anxiety and stress.
Furthermore, the rise in demand for robotics due to the increasing disabled and aging population to tackle problems that arise from their inability to relate effectively with their environment has contributed to the market share of humanoid robots. In addition, humanoid robots are also implemented in Autism Special Education where they can engage children with applications designed for special education.
Animal-like robots interact positively with patients and improving well-being
The animal-like segment is anticipated to expand at the fastest rate over a forecast period. Paro, an animal-like robot companion is increasingly used in dementia care due to the positive effects that interacting with these robots can have on the well-being of these patients. Also, these pet/animal-designed robots with animal aesthetics and behaviors have particular potential in aged care. They also help in alleviating loneliness in older adults, which is positively impacting segment growth.
Companion robots reducing hospitalization for Geriatric Population
By age group, the geriatric segment is expected to hold the largest share of 40% in 2023. The use of companion robots has shown a significant improvement in the lives of the elderly population. The integration of technologies has enabled home healthcare and it supports aging at home thereby reducing the risk of falls.
As per a study conducted and published by Bold in December 2021, the use of companion robots has reduced falls and associated hospitalizations by 46%. Furthermore, companion robots are in demand to assist people suffering from dementia and may help to reduce depression and agitation.
Robot Companions supporting the emotional and cognitive development of children
The children segment is anticipated to expand at a faster rate in the forecast period owing to the rising demand for companion robots to support the emotional and cognitive development of children.
Also, these robots are increasingly used to assist therapy for children diagnosed with disabilities such as autism. Buddy the Robot developed by Blue Frog Robotics, is one such robot that helps to assist children with autism. In addition, various innovative product developed by key companies targeting the children population is impelling the segment growth. For instance, in 2020, Embodied Inc. launched Moxie, with the intent to help children between the ages of 5 years to 10 years to develop social, cognitive, and emotional skills.
Key players in the healthcare companion robots are Cutii, Co-Robotics, Service Robotics, MJI Robotics, Experr Technologies
Various strategies such as product development, partnerships, etc. adopted by key players are driving the healthcare companion robots market. Some prominent players in the global healthcare companion robots market include Blue Frog Robotics & Buddy ASUS, Intuition Robotics, inGen Dynamics, PARO Robots USA, Inc, No Isolation, Luvozo, Honda Robotics, Hanson Robotics, Ubtech, Emotix, and Jibo
Report Attribute | Details |
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Market Value in 2023 | US$ 2.24 Billion |
Market Value in 2033 | US$ 11.73 Billion |
Growth Rate | CAGR of 18% from 2023 to 2033 |
Base Year for Estimation | 2021 |
Historical Data | 2018 to 2022 |
Forecast Period | 2023 to 2033 |
Quantitative Units | Revenue in USD Million and CAGR from 2023 to 2033 |
Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis |
Segments Covered |
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Regions Covered |
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Key Countries Profiled |
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Key Companies Profiled |
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Customization | Available Upon Request |
From 2018 to 2022, the healthcare companion robots market grew at a CAGR of 10%
The global healthcare companion robots market is expected to grow with an 18% CAGR from 2023 to 2033.
As of 2033, the healthcare companion robots market is expected to reach US$ 11.73 Billion
The geriatric segment is expected to hold the largest share of 40% in 2023.
The humanoid segment is expected to hold the largest share of nearly 75% in 2023
North America is expected to possess a 41% market share in the healthcare companion robots market in 2023.
In 2023, Asia Pacific is expected to dominate the healthcare companion robots market with a share of 50%.
1. Executive Summary | Healthcare Companion Robots Market 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Analysis 2018 to 2022 and Forecast 2023 to 2033, By Type 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Type, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Type, 2023 to 2033 5.3.1. Animal-like 5.3.2. Humanoid 5.4. Y-o-Y Growth Trend Analysis By Type, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Type, 2023 to 2033 6. Global Analysis 2018 to 2022 and Forecast 2023 to 2033, By Age-Group 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Age Group, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Age-Group, 2023 to 2033 6.3.1. Children 6.3.2. Adult 6.3.3. Geriatric 6.4. Y-o-Y Growth Trend Analysis By Age Group, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Age-Group, 2023 to 2033 7. Global Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 7.1. Introduction 7.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 7.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 7.3.1. North America 7.3.2. Latin America 7.3.3. Europe 7.3.4. South Asia 7.3.5. East Asia 7.3.6. Oceania 7.3.7. Middle East and Africa(MEA) 7.4. Market Attractiveness Analysis By Region 8. North America Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 8.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 8.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 8.2.1. By Country 8.2.1.1. USA 8.2.1.2. Canada 8.2.2. By Type 8.2.3. By Age-Group 8.3. Market Attractiveness Analysis 8.3.1. By Country 8.3.2. By Type 8.3.3. By Age-Group 8.4. Key Takeaways 9. Latin America Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 9.2.1. By Country 9.2.1.1. Brazil 9.2.1.2. Mexico 9.2.1.3. Rest of Latin America 9.2.2. By Type 9.2.3. By Age-Group 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Type 9.3.3. By Age-Group 9.4. Key Takeaways 10. Europe Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. Germany 10.2.1.2. United Kingdom 10.2.1.3. France 10.2.1.4. Spain 10.2.1.5. Italy 10.2.1.6. Rest of Europe 10.2.2. By Type 10.2.3. By Age-Group 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Type 10.3.3. By Age-Group 10.4. Key Takeaways 11. South Asia Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. India 11.2.1.2. Malaysia 11.2.1.3. Singapore 11.2.1.4. Thailand 11.2.1.5. Rest of South Asia 11.2.2. By Type 11.2.3. By Age-Group 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Type 11.3.3. By Age-Group 11.4. Key Takeaways 12. East Asia Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. China 12.2.1.2. Japan 12.2.1.3. South Korea 12.2.2. By Type 12.2.3. By Age-Group 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Type 12.3.3. By Age-Group 12.4. Key Takeaways 13. Oceania Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. Australia 13.2.1.2. New Zealand 13.2.2. By Type 13.2.3. By Age-Group 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Type 13.3.3. By Age-Group 13.4. Key Takeaways 14. MEA Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. GCC Countries 14.2.1.2. South Africa 14.2.1.3. Israel 14.2.1.4. Rest of Middle East and Africa(MEA) 14.2.2. By Type 14.2.3. By Age-Group 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Type 14.3.3. By Age-Group 14.4. Key Takeaways 15. Key Countries Analysis 15.1. USA 15.1.1. Pricing Analysis 15.1.2. Market Share Analysis, 2021 15.1.2.1. By Type 15.1.2.2. By Age-Group 15.2. Canada 15.2.1. Pricing Analysis 15.2.2. Market Share Analysis, 2021 15.2.2.1. By Type 15.2.2.2. By Age-Group 15.3. Brazil 15.3.1. Pricing Analysis 15.3.2. Market Share Analysis, 2021 15.3.2.1. By Type 15.3.2.2. By Age-Group 15.4. Mexico 15.4.1. Pricing Analysis 15.4.2. Market Share Analysis, 2021 15.4.2.1. By Type 15.4.2.2. By Age-Group 15.5. Germany 15.5.1. Pricing Analysis 15.5.2. Market Share Analysis, 2021 15.5.2.1. By Type 15.5.2.2. By Age-Group 15.6. United Kingdom 15.6.1. Pricing Analysis 15.6.2. Market Share Analysis, 2021 15.6.2.1. By Type 15.6.2.2. By Age-Group 15.7. France 15.7.1. Pricing Analysis 15.7.2. Market Share Analysis, 2021 15.7.2.1. By Type 15.7.2.2. By Age-Group 15.8. Spain 15.8.1. Pricing Analysis 15.8.2. Market Share Analysis, 2021 15.8.2.1. By Type 15.8.2.2. By Age-Group 15.9. Italy 15.9.1. Pricing Analysis 15.9.2. Market Share Analysis, 2021 15.9.2.1. By Type 15.9.2.2. By Age-Group 15.10. India 15.10.1. Pricing Analysis 15.10.2. Market Share Analysis, 2021 15.10.2.1. By Type 15.10.2.2. By Age-Group 15.11. Malaysia 15.11.1. Pricing Analysis 15.11.2. Market Share Analysis, 2021 15.11.2.1. By Type 15.11.2.2. By Age-Group 15.12. Singapore 15.12.1. Pricing Analysis 15.12.2. Market Share Analysis, 2021 15.12.2.1. By Type 15.12.2.2. By Age-Group 15.13. Thailand 15.13.1. Pricing Analysis 15.13.2. Market Share Analysis, 2021 15.13.2.1. By Type 15.13.2.2. By Age-Group 15.14. China 15.14.1. Pricing Analysis 15.14.2. Market Share Analysis, 2021 15.14.2.1. By Type 15.14.2.2. By Age-Group 15.15. Japan 15.15.1. Pricing Analysis 15.15.2. Market Share Analysis, 2021 15.15.2.1. By Type 15.15.2.2. By Age-Group 15.16. South Korea 15.16.1. Pricing Analysis 15.16.2. Market Share Analysis, 2021 15.16.2.1. By Type 15.16.2.2. By Age-Group 15.17. Australia 15.17.1. Pricing Analysis 15.17.2. Market Share Analysis, 2021 15.17.2.1. By Type 15.17.2.2. By Age-Group 15.18. New Zealand 15.18.1. Pricing Analysis 15.18.2. Market Share Analysis, 2021 15.18.2.1. By Type 15.18.2.2. By Age-Group 15.19. GCC Countries 15.19.1. Pricing Analysis 15.19.2. Market Share Analysis, 2021 15.19.2.1. By Type 15.19.2.2. By Age-Group 15.20. South Africa 15.20.1. Pricing Analysis 15.20.2. Market Share Analysis, 2021 15.20.2.1. By Type 15.20.2.2. By Age-Group 15.21. Israel 15.21.1. Pricing Analysis 15.21.2. Market Share Analysis, 2021 15.21.2.1. By Type 15.21.2.2. By Age-Group 16. Market Structure Analysis 16.1. Competition Dashboard 16.2. Competition Benchmarking 16.3. Market Share Analysis of Top Players 16.3.1. By Regional 16.3.2. By Type 16.3.3. By Age-Group 17. Competition Analysis 17.1. Competition Deep Dive 17.1.1. Blue Frog Robotics & Buddy ASUS 17.1.1.1. Overview 17.1.1.2. Product Portfolio 17.1.1.3. Profitability by Market Segments 17.1.1.4. Sales Footprint 17.1.1.5. Strategy Overview 17.1.1.5.1. Marketing Strategy 17.1.2. Intuition Robotics 17.1.2.1. Overview 17.1.2.2. Product Portfolio 17.1.2.3. Profitability by Market Segments 17.1.2.4. Sales Footprint 17.1.2.5. Strategy Overview 17.1.2.5.1. Marketing Strategy 17.1.3. Ingen Dynamics 17.1.3.1. Overview 17.1.3.2. Product Portfolio 17.1.3.3. Profitability by Market Segments 17.1.3.4. Sales Footprint 17.1.3.5. Strategy Overview 17.1.3.5.1. Marketing Strategy 17.1.4. PARO Robots U.S., Inc. 17.1.4.1. Overview 17.1.4.2. Product Portfolio 17.1.4.3. Profitability by Market Segments 17.1.4.4. Sales Footprint 17.1.4.5. Strategy Overview 17.1.4.5.1. Marketing Strategy 17.1.5. No Isolation 17.1.5.1. Overview 17.1.5.2. Product Portfolio 17.1.5.3. Profitability by Market Segments 17.1.5.4. Sales Footprint 17.1.5.5. Strategy Overview 17.1.5.5.1. Marketing Strategy 17.1.6. Luvozo 17.1.6.1. Overview 17.1.6.2. Product Portfolio 17.1.6.3. Profitability by Market Segments 17.1.6.4. Sales Footprint 17.1.6.5. Strategy Overview 17.1.6.5.1. Marketing Strategy 17.1.7. Honda Robotics 17.1.7.1. Overview 17.1.7.2. Product Portfolio 17.1.7.3. Profitability by Market Segments 17.1.7.4. Sales Footprint 17.1.7.5. Strategy Overview 17.1.7.5.1. Marketing Strategy 17.1.8. Hanson Robotics 17.1.8.1. Overview 17.1.8.2. Product Portfolio 17.1.8.3. Profitability by Market Segments 17.1.8.4. Sales Footprint 17.1.8.5. Strategy Overview 17.1.8.5.1. Marketing Strategy 17.1.9. Ubtech 17.1.9.1. Overview 17.1.9.2. Product Portfolio 17.1.9.3. Profitability by Market Segments 17.1.9.4. Sales Footprint 17.1.9.5. Strategy Overview 17.1.9.5.1. Marketing Strategy 17.1.10. Emotix 17.1.10.1. Overview 17.1.10.2. Product Portfolio 17.1.10.3. Profitability by Market Segments 17.1.10.4. Sales Footprint 17.1.10.5. Strategy Overview 17.1.10.5.1. Marketing Strategy 17.1.11. Jibo. 17.1.11.1. Overview 17.1.11.2. Product Portfolio 17.1.11.3. Profitability by Market Segments 17.1.11.4. Sales Footprint 17.1.11.5. Strategy Overview 17.1.11.5.1. Marketing Strategy 18. Assumptions & Acronyms Used 19. Research Methodology
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Table 1: Global Value (US$ Million) Forecast by Region, 2018 to 2033 Table 2: Global Value (US$ Million) Forecast by Type, 2018 to 2033 Table 3: Global Value (US$ Million) Forecast by Age Group, 2018 to 2033 Table 4: North America Value (US$ Million) Forecast by Country, 2018 to 2033 Table 5: North America Value (US$ Million) Forecast by Type, 2018 to 2033 Table 6: North America Value (US$ Million) Forecast by Age Group, 2018 to 2033 Table 7: Latin America Value (US$ Million) Forecast by Country, 2018 to 2033 Table 8: Latin America Value (US$ Million) Forecast by Type, 2018 to 2033 Table 9: Latin America Value (US$ Million) Forecast by Age Group, 2018 to 2033 Table 10: Europe Value (US$ Million) Forecast by Country, 2018 to 2033 Table 11: Europe Value (US$ Million) Forecast by Type, 2018 to 2033 Table 12: Europe Value (US$ Million) Forecast by Age-Group, 2018 to 2033 Table 13: South Asia Value (US$ Million) Forecast by Country, 2018 to 2033 Table 14: South Asia Value (US$ Million) Forecast by Type, 2018 to 2033 Table 15: South Asia Value (US$ Million) Forecast by Age Group, 2018 to 2033 Table 16: East Asia Value (US$ Million) Forecast by Country, 2018 to 2033 Table 17: East Asia Value (US$ Million) Forecast by Type, 2018 to 2033 Table 18: East Asia Value (US$ Million) Forecast by Age Group, 2018 to 2033 Table 19: Oceania Value (US$ Million) Forecast by Country, 2018 to 2033 Table 20: Oceania Value (US$ Million) Forecast by Type, 2018 to 2033 Table 21: Oceania Value (US$ Million) Forecast by Age Group, 2018 to 2033 Table 22: MEA Value (US$ Million) Forecast by Country, 2018 to 2033 Table 23: MEA Value (US$ Million) Forecast by Type, 2018 to 2033 Table 24: MEA Value (US$ Million) Forecast by Age-Group, 2018 to 2033
Figure 1: Global Value (US$ Million) by Type, 2023 to 2033 Figure 2: Global Value (US$ Million) by Age Group, 2023 to 2033 Figure 3: Global Value (US$ Million) by Region, 2023 to 2033 Figure 4: Global Value (US$ Million) Analysis by Region, 2018 to 2033 Figure 5: Global Value Share (%) and BPS Analysis by Region, 2023 to 2033 Figure 6: Global Y-o-Y Growth (%) Projections by Region, 2023 to 2033 Figure 7: Global Value (US$ Million) Analysis by Type, 2018 to 2033 Figure 8: Global Value Share (%) and BPS Analysis by Type, 2023 to 2033 Figure 9: Global Y-o-Y Growth (%) Projections by Type, 2023 to 2033 Figure 10: Global Value (US$ Million) Analysis by Age Group, 2018 to 2033 Figure 11: Global Value Share (%) and BPS Analysis by Age Group, 2023 to 2033 Figure 12: Global Y-o-Y Growth (%) Projections by Age Group, 2023 to 2033 Figure 13: Global Attractiveness by Type, 2023 to 2033 Figure 14: Global Attractiveness by Age Group, 2023 to 2033 Figure 15: Global Attractiveness by Region, 2023 to 2033 Figure 16: North America Value (US$ Million) by Type, 2023 to 2033 Figure 17: North America Value (US$ Million) by Age Group, 2023 to 2033 Figure 18: North America Value (US$ Million) by Country, 2023 to 2033 Figure 19: North America Value (US$ Million) Analysis by Country, 2018 to 2033 Figure 20: North America Value Share (%) and BPS Analysis by Country, 2023 to 2033 Figure 21: North America Y-o-Y Growth (%) Projections by Country, 2023 to 2033 Figure 22: North America Value (US$ Million) Analysis by Type, 2018 to 2033 Figure 23: North America Value Share (%) and BPS Analysis by Type, 2023 to 2033 Figure 24: North America Y-o-Y Growth (%) Projections by Type, 2023 to 2033 Figure 25: North America Value (US$ Million) Analysis by Age Group, 2018 to 2033 Figure 26: North America Value Share (%) and BPS Analysis by Age Group, 2023 to 2033 Figure 27: North America Y-o-Y Growth (%) Projections by Age Group, 2023 to 2033 Figure 28: North America Attractiveness by Type, 2023 to 2033 Figure 29: North America Attractiveness by Age Group, 2023 to 2033 Figure 30: North America Attractiveness by Country, 2023 to 2033 Figure 31: Latin America Value (US$ Million) by Type, 2023 to 2033 Figure 32: Latin America Value (US$ Million) by Age Group, 2023 to 2033 Figure 33: Latin America Value (US$ Million) by Country, 2023 to 2033 Figure 34: Latin America Value (US$ Million) Analysis by Country, 2018 to 2033 Figure 35: Latin America Value Share (%) and BPS Analysis by Country, 2023 to 2033 Figure 36: Latin America Y-o-Y Growth (%) Projections by Country, 2023 to 2033 Figure 37: Latin America Value (US$ Million) Analysis by Type, 2018 to 2033 Figure 38: Latin America Value Share (%) and BPS Analysis by Type, 2023 to 2033 Figure 39: Latin America Y-o-Y Growth (%) Projections by Type, 2023 to 2033 Figure 40: Latin America Value (US$ Million) Analysis by Age Group, 2018 to 2033 Figure 41: Latin America Value Share (%) and BPS Analysis by Age Group, 2023 to 2033 Figure 42: Latin America Y-o-Y Growth (%) Projections by Age Group, 2023 to 2033 Figure 43: Latin America Attractiveness by Type, 2023 to 2033 Figure 44: Latin America Attractiveness by Age Group, 2023 to 2033 Figure 45: Latin America Attractiveness by Country, 2023 to 2033 Figure 46: Europe Value (US$ Million) by Type, 2023 to 2033 Figure 47: Europe Value (US$ Million) by Age Group, 2023 to 2033 Figure 48: Europe Value (US$ Million) by Country, 2023 to 2033 Figure 49: Europe Value (US$ Million) Analysis by Country, 2018 to 2033 Figure 50: Europe Value Share (%) and BPS Analysis by Country, 2023 to 2033 Figure 51: Europe Y-o-Y Growth (%) Projections by Country, 2023 to 2033 Figure 52: Europe Value (US$ Million) Analysis by Type, 2018 to 2033 Figure 53: Europe Value Share (%) and BPS Analysis by Type, 2023 to 2033 Figure 54: Europe Y-o-Y Growth (%) Projections by Type, 2023 to 2033 Figure 55: Europe Value (US$ Million) Analysis by Age Group, 2018 to 2033 Figure 56: Europe Value Share (%) and BPS Analysis by Age Group, 2023 to 2033 Figure 57: Europe Y-o-Y Growth (%) Projections by Age Group, 2023 to 2033 Figure 58: Europe Attractiveness by Type, 2023 to 2033 Figure 59: Europe Attractiveness by Age Group, 2023 to 2033 Figure 60: Europe Attractiveness by Country, 2023 to 2033 Figure 61: South Asia Value (US$ Million) by Type, 2023 to 2033 Figure 62: South Asia Value (US$ Million) by Age Group, 2023 to 2033 Figure 63: South Asia Value (US$ Million) by Country, 2023 to 2033 Figure 64: South Asia Value (US$ Million) Analysis by Country, 2018 to 2033 Figure 65: South Asia Value Share (%) and BPS Analysis by Country, 2023 to 2033 Figure 66: South Asia Y-o-Y Growth (%) Projections by Country, 2023 to 2033 Figure 67: South Asia Value (US$ Million) Analysis by Type, 2018 to 2033 Figure 68: South Asia Value Share (%) and BPS Analysis by Type, 2023 to 2033 Figure 69: South Asia Y-o-Y Growth (%) Projections by Type, 2023 to 2033 Figure 70: South Asia Value (US$ Million) Analysis by Age Group, 2018 to 2033 Figure 71: South Asia Value Share (%) and BPS Analysis by Age Group, 2023 to 2033 Figure 72: South Asia Y-o-Y Growth (%) Projections by Age Group, 2023 to 2033 Figure 73: South Asia Attractiveness by Type, 2023 to 2033 Figure 74: South Asia Attractiveness by Age Group, 2023 to 2033 Figure 75: South Asia Attractiveness by Country, 2023 to 2033 Figure 76: East Asia Value (US$ Million) by Type, 2023 to 2033 Figure 77: East Asia Value (US$ Million) by Age Group, 2023 to 2033 Figure 78: East Asia Value (US$ Million) by Country, 2023 to 2033 Figure 79: East Asia Value (US$ Million) Analysis by Country, 2018 to 2033 Figure 80: East Asia Value Share (%) and BPS Analysis by Country, 2023 to 2033 Figure 81: East Asia Y-o-Y Growth (%) Projections by Country, 2023 to 2033 Figure 82: East Asia Value (US$ Million) Analysis by Type, 2018 to 2033 Figure 83: East Asia Value Share (%) and BPS Analysis by Type, 2023 to 2033 Figure 84: East Asia Y-o-Y Growth (%) Projections by Type, 2023 to 2033 Figure 85: East Asia Value (US$ Million) Analysis by Age Group, 2018 to 2033 Figure 86: East Asia Value Share (%) and BPS Analysis by Age Group, 2023 to 2033 Figure 87: East Asia Y-o-Y Growth (%) Projections by Age Group, 2023 to 2033 Figure 88: East Asia Attractiveness by Type, 2023 to 2033 Figure 89: East Asia Attractiveness by Age Group, 2023 to 2033 Figure 90: East Asia Attractiveness by Country, 2023 to 2033 Figure 91: Oceania Value (US$ Million) by Type, 2023 to 2033 Figure 92: Oceania Value (US$ Million) by Age Group, 2023 to 2033 Figure 93: Oceania Value (US$ Million) by Country, 2023 to 2033 Figure 94: Oceania Value (US$ Million) Analysis by Country, 2018 to 2033 Figure 95: Oceania Value Share (%) and BPS Analysis by Country, 2023 to 2033 Figure 96: Oceania Y-o-Y Growth (%) Projections by Country, 2023 to 2033 Figure 97: Oceania Value (US$ Million) Analysis by Type, 2018 to 2033 Figure 98: Oceania Value Share (%) and BPS Analysis by Type, 2023 to 2033 Figure 99: Oceania Y-o-Y Growth (%) Projections by Type, 2023 to 2033 Figure 100: Oceania Value (US$ Million) Analysis by Age Group, 2018 to 2033 Figure 101: Oceania Value Share (%) and BPS Analysis by Age Group, 2023 to 2033 Figure 102: Oceania Y-o-Y Growth (%) Projections by Age Group, 2023 to 2033 Figure 103: Oceania Attractiveness by Type, 2023 to 2033 Figure 104: Oceania Attractiveness by Age Group, 2023 to 2033 Figure 105: Oceania Attractiveness by Country, 2023 to 2033 Figure 106: MEA Value (US$ Million) by Type, 2023 to 2033 Figure 107: MEA Value (US$ Million) by Age Group, 2023 to 2033 Figure 108: MEA Value (US$ Million) by Country, 2023 to 2033 Figure 109: MEA Value (US$ Million) Analysis by Country, 2018 to 2033 Figure 110: MEA Value Share (%) and BPS Analysis by Country, 2023 to 2033 Figure 111: MEA Y-o-Y Growth (%) Projections by Country, 2023 to 2033 Figure 112: MEA Value (US$ Million) Analysis by Type, 2018 to 2033 Figure 113: MEA Value Share (%) and BPS Analysis by Type, 2023 to 2033 Figure 114: MEA Y-o-Y Growth (%) Projections by Type, 2023 to 2033 Figure 115: MEA Value (US$ Million) Analysis by Age Group, 2018 to 2033 Figure 116: MEA Value Share (%) and BPS Analysis by Age Group, 2023 to 2033 Figure 117: MEA Y-o-Y Growth (%) Projections by Age Group, 2023 to 2033 Figure 118: MEA Attractiveness by Type, 2023 to 2033 Figure 119: MEA Attractiveness by Age Group, 2023 to 2033 Figure 120: MEA Attractiveness by Country, 2023 to 2033
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