Most Developed Healthtech Countries

Index Scores

R & D Funding

Number of
Healthtech Startups

Number of Healthcare
Legacy Corporations

Funding and Employment

Salary Levels

Telemedicine

Mental Health & Psychology

Biometric Data Gathering

Prosthetics

Health Data & analysis

Dentalcare

Medical Vision & Imaging

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R&D Funding

Number of Healthtech Startups

Number of Healthcare Legacy Corporations

Funding & Employment Score

Salary Levels

Telemedicine

Mental Health & Psychology

Biometric Data Gathering

Prosthetics

Health Data & Analysis

Dentalcare

Medical Vision & Imaging

Hearing Aids

Cardiovascular

Gynaecology

Eyecare

Dermatology

Nutrition

Total

			Investment & Corporate Infrastructure				Human Capital	Global Capitals of HealthTech Innovation
#	City	Country	R&D Funding	Number of Healthtech Startups	Number of Healthcare Legacy Corporations	Funding & Employment Score	Salary Levels	Telemedicine	Mental Health & Psychology	Biometric Data Gathering	Prosthetics	Health Data & Analysis	Dentalcare	Medical Vision & Imaging	Hearing Aids	Cardiovascular	Gynaecology	Eyecare	Dermatology	Nutrition	Total
1	New York	USA	89.9	66.9	71.3	70.2	18.21%	100.0	100.0	60.0	67.7	97.7	78.7	84.6	77.4	64.0	76.3	78.3	74.9	100.0	85.89
2	Minneapolis	USA	51.2	52.9	59.3	58.7	8.31%	97.6	55.8	77.1	56.3	100.0	100.0	58.4	90.0	90.1	52.4	51.2	54.2	56.6	70.71
3	Chicago	USA	59.5	54.3	62.4	57.9	0.92%	91.2	59.0	75.5	62.9	60.2	65.0	60.4	63.0	89.1	54.9	60.6	82.8	62.9	68.2
4	Boston	USA	93.7	100.0	100.0	98.9	11.81%	83.4	83.3	100.0	93.5	92.2	83.6	94.6	100.0	100.0	100.0	75.4	96.6	75.2	100.0
5	Kansas City	USA	50.0	50.3	51.7	50.1	-1.11%	76.8	50.3	53.8	50.5	82.8	54.2	52.5	50.5	50.3	50.0	50.3	51.0	51.4	54.45
6	Denver	USA	53.5	53.4	57.7	54.5	11.20%	75.2	68.3	54.1	61.6	51.6	58.5	52.9	55.2	52.5	51.2	53.0	53.2	53.1	57.65
7	Los Angeles	USA	68.5	61.3	72.3	73.7	5.52%	69.5	66.7	72.8	98.9	64.2	91.1	73.5	69.5	65.2	68.1	74.9	75.0	87.8	76.84
8	Singapore	Singapore	50.0	67.4	54.9	52.7	-14.80%	67.7	54.1	50.0	74.8	53.1	61.1	61.1	67.9	63.9	62.6	67.5	68.3	66.2	62.39
9	San Francisco	USA	50.0	76.7	68.9	100.0	27.58%	66.8	87.1	80.4	69.6	92.2	61.2	75.5	84.2	77.6	64.6	63.1	80.8	68.3	79.91
10	Philadelphia	USA	67.8	61.7	77.0	65.5	7.03%	60.8	59.6	59.8	60.9	59.8	60.7	61.3	62.2	61.1	55.5	60.0	58.8	58.9	63.61
11	Miami	USA	53.5	53.3	61.2	54.0	3.54%	58.8	54.7	54.1	56.9	52.4	57.5	53.9	55.4	55.4	51.5	56.3	59.6	59.0	56.39
12	Phoenix	USA	51.2	52.3	55.3	51.5	1.99%	58.0	51.2	54.0	55.6	53.8	57.8	53.1	54.3	54.8	52.1	54.9	55.2	55.4	54.43
13	San Jose	USA	59.5	57.6	57.3	72.7	37.16%	57.6	55.6	56.5	58.3	59.6	54.6	100.0	60.1	60.3	68.6	70.0	52.9	55.5	65.5
14	Dallas	USA	55.9	53.0	60.4	54.0	0.39%	57.4	52.0	58.1	50.6	99.8	61.1	58.3	56.5	53.4	55.5	55.9	57.0	55.6	59.23
15	London	UK	89.1	61.7	61.5	57.8	6.08%	56.6	62.0	59.9	55.3	63.4	59.1	57.5	68.2	54.7	63.3	54.0	56.5	89.3	64.87
16	San Diego	USA	50.0	57.1	62.6	79.6	3.10%	56.5	57.0	58.7	51.2	54.2	78.1	64.0	63.0	60.3	74.9	64.6	66.0	61.3	64.65
17	Atlanta	USA	58.3	52.8	60.1	53.9	-4.38%	55.9	52.8	58.3	60.9	53.8	67.3	64.3	55.9	55.7	54.8	55.5	55.7	57.2	57.69
18	Austin	USA	51.2	53.9	56.3	58.5	0.67%	55.5	53.3	54.3	100.0	53.5	59.7	54.0	55.1	52.8	53.4	54.6	54.2	53.9	57.08
19	Tel Aviv	Israel	55.6	53.2	51.6	53.9	-20.85%	54.6	50.9	69.0	54.3	58.9	53.6	52.5	53.3	54.6	52.2	53.0	53.1	52.4	54.04
20	Washington	USA	91.0	51.3	54.9	51.2	10.82%	54.5	51.1	54.1	50.4	56.7	51.2	51.1	54.2	52.5	54.1	50.7	53.3	52.6	55.23
21	Houston	USA	67.0	52.1	56.1	53.4	0.37%	53.9	53.2	54.1	50.4	51.8	57.8	57.2	55.5	58.1	53.7	55.1	54.9	54.5	55.67
22	Las Vegas	USA	51.1	50.9	52.8	51.2	5.31%	53.5	51.0	53.9	54.5	51.4	54.4	54.8	52.5	52.6	51.4	51.6	51.9	52.6	52.61
23	Orlando	USA	58.4	50.7	53.4	50.8	-2.98%	53.4	51.0	53.9	50.4	51.9	52.7	53.4	51.5	53.4	50.4	51.3	53.2	51.1	52.23
24	Montréal	Canada	57.1	51.7	52.9	55.0	9.08%	53.0	50.5	54.1	57.2	53.0	51.0	51.2	53.6	57.5	50.4	52.8	55.4	53.1	53.78
25	Beijing	China	95.9	57.2	53.6	75.9	-56.43%	52.9	50.7	54.3	53.8	58.5	64.0	66.8	55.4	53.2	53.1	51.8	50.1	51.8	56.99
26	Portland	USA	51.1	51.3	53.3	51.2	3.42%	52.9	52.4	53.9	53.2	50.7	54.1	51.4	51.4	50.9	51.3	53.4	51.1	52.8	52.26
27	Seattle	USA	50.0	53.8	53.2	62.5	8.54%	52.8	53.3	64.0	50.7	93.2	56.6	77.4	58.7	54.0	52.6	54.4	54.8	55.3	59.86
28	Nashville	USA	56.1	53.0	57.5	56.9	-6.38%	52.7	51.6	54.2	53.8	50.4	64.3	55.2	52.1	52.4	55.2	51.8	53.2	53.1	54.35
29	Jacksonville	USA	52.3	50.3	53.3	52.4	-0.90%	52.6	51.0	53.7	56.5	51.6	53.6	52.2	52.0	52.3	53.0	53.3	52.2	50.7	52.43
30	Paris	France	55.8	53.9	55.1	55.7	-13.08%	52.4	52.0	74.1	50.3	57.3	52.4	57.8	57.6	61.7	52.9	100.0	61.7	76.2	61.89
31	Oklahoma City	USA	50.9	50.4	52.0	50.7	-4.91%	52.4	50.8	53.6	56.3	50.1	51.5	50.2	50.8	50.6	50.4	52.0	50.8	51.7	51.06
32	Manchester	UK	53.6	51.0	51.8	52.8	-22.77%	52.3	51.3	54.0	50.4	51.0	51.8	51.1	51.8	50.6	50.0	50.4	52.2	51.5	50.68
33	St Louis	USA	57.2	51.4	51.8	52.7	3.68%	52.2	52.9	54.0	55.7	51.5	57.4	58.8	52.3	52.9	50.5	56.3	52.7	51.7	53.88
34	Tampa	USA	52.2	51.0	52.7	52.0	-0.25%	52.1	51.2	57.6	60.2	54.0	57.0	51.5	53.2	52.0	52.0	54.2	65.8	53.1	54.24
35	San Antonio	USA	50.0	50.6	53.2	51.8	2.35%	52.1	51.6	53.9	50.2	50.5	51.6	51.5	51.6	52.1	50.9	52.1	51.8	50.7	51.58
36	Reno	USA	50.0	50.3	51.6	50.2	-9.12%	52.1	50.8	52.5	50.3	50.0	51.0	52.4	50.0	50.0	50.3	51.6	50.9	50.8	50.36
37	Shanghai	China	69.1	55.4	50.5	72.7	-54.94%	52.0	50.3	54.2	50.0	56.3	55.0	63.3	54.4	52.3	51.6	50.0	51.9	51.2	53.51
38	Basel	Switzerland	51.2	51.7	52.3	90.8	39.67%	51.7	50.3	62.6	50.8	50.1	50.9	51.1	51.2	50.1	50.7	50.0	51.8	50.6	55.35
39	Indianapolis	USA	51.2	50.8	54.4	51.8	-1.34%	51.7	51.9	53.9	50.2	51.2	53.2	51.2	52.8	51.9	51.0	53.6	51.1	51.9	51.98
40	Honolulu	USA	50.0	50.2	51.4	50.4	-6.43%	51.7	50.2	53.4	50.1	51.0	51.2	51.4	51.6	50.4	50.9	50.5	50.4	50.4	50.46
41	Sacramento	USA	51.2	50.4	53.5	56.1	-1.83%	51.6	52.1	54.2	50.1	50.1	52.8	51.9	51.0	51.3	50.3	53.0	52.5	50.9	51.85
42	Toronto	Canada	61.2	56.0	53.0	55.1	13.28%	51.4	56.3	54.1	50.7	59.1	70.6	58.9	56.9	52.2	52.8	51.5	52.2	57.6	56.83
43	Pittsburgh	USA	51.2	51.7	54.2	52.7	-0.32%	51.4	52.8	53.9	64.2	50.8	57.1	59.2	53.0	53.1	53.0	52.7	51.4	51.9	53.85
44	Munich	Germany	63.2	51.1	52.4	66.8	0.71%	51.4	51.8	54.7	55.0	52.6	51.5	50.9	52.5	51.2	54.0	52.1	50.3	52.0	53.71
45	Omaha	USA	51.2	50.2	52.5	50.2	-6.42%	51.4	50.7	53.3	53.4	50.1	50.0	51.9	52.3	50.1	50.5	52.2	51.3	51.0	50.87
46	Amsterdam	Netherlands	50.0	51.6	52.5	51.7	5.99%	51.3	52.0	53.9	52.4	51.7	53.3	51.2	51.8	52.5	51.2	51.6	100.0	54.3	55.3
47	Baltimore	USA	52.3	52.3	55.7	54.4	3.47%	51.3	53.1	59.6	50.7	55.5	53.6	53.3	54.1	56.9	56.7	55.3	53.5	53.6	54.9
48	Raleigh	USA	62.9	51.8	53.5	58.3	5.95%	51.3	50.5	54.3	50.6	52.4	53.1	53.6	53.5	54.5	50.8	53.4	60.3	51.1	54.11
49	Barcelona	Spain	53.6	52.2	52.2	54.9	-37.89%	51.3	51.3	54.1	50.3	51.2	51.7	51.7	52.1	50.4	51.1	52.0	50.2	51.2	50.47
50	Columbus	USA	56.8	51.3	52.9	54.6	0.12%	51.2	52.1	54.1	79.1	54.3	55.2	51.3	51.4	52.0	50.9	53.3	50.9	57.1	54.29
51	Knoxville	USA	51.2	50.3	51.9	52.8	-4.85%	51.0	51.1	53.4	50.2	50.4	50.8	51.7	50.3	50.4	51.5	50.8	51.8	50.8	50.87
52	Boise	USA	50.0	50.3	52.1	50.4	-10.55%	51.0	50.6	52.6	52.4	51.2	52.3	51.2	50.8	50.1	51.2	51.3	53.2	52.6	50.83
53	Berlin	Germany	61.7	53.6	52.9	51.9	-0.43%	50.9	51.3	54.0	52.8	54.6	54.1	51.8	53.0	53.9	51.6	50.8	50.9	52.0	52.99
54	Birmingham	USA	52.2	50.8	52.6	58.0	-0.95%	50.7	51.0	61.9	53.7	52.1	56.3	51.9	51.1	52.1	50.3	51.3	52.0	51.5	52.84
55	Cleveland	USA	56.1	51.2	53.4	55.5	-3.21%	50.7	51.5	54.1	54.1	50.3	52.1	53.7	53.1	53.1	50.2	50.8	53.2	51.1	52.37
56	Brisbane	Australia	52.4	50.2	51.4	52.5	13.08%	50.7	50.9	54.0	50.2	51.5	50.9	50.0	51.6	50.1	51.9	51.6	51.8	51.0	51.61
57	Milan	Italy	66.3	50.7	51.2	51.7	-42.36%	50.7	50.2	54.1	50.2	50.5	51.5	53.7	52.7	51.7	50.5	50.5	61.4	50.8	51.2
58	Cambridge	UK	52.3	53.0	53.5	64.3	-18.04%	50.6	51.3	56.3	50.9	51.2	51.6	53.6	52.2	53.8	51.0	50.4	50.3	50.8	52.22
59	Heidelberg	Germany	50.0	50.1	51.1	55.2	-8.49%	50.6	50.0	54.1	50.1	50.1	50.4	51.5	51.1	56.3	50.6	53.8	51.0	50.0	51.18
60	Tokyo	Japan	77.8	54.4	51.8	51.9	14.06%	50.5	52.1	94.1	50.2	74.0	60.3	57.8	60.1	52.5	52.4	74.6	51.8	57.5	61.79
61	Charlotte	USA	50.0	50.7	52.9	51.0	2.39%	50.5	52.5	53.8	50.3	50.2	54.2	51.3	51.2	50.5	52.4	51.5	51.7	50.9	51.59
62	Zürich	Switzerland	50.0	52.4	51.1	52.5	51.08%	50.4	50.8	53.9	56.2	51.8	55.8	52.2	53.4	54.6	50.6	50.5	51.8	51.6	53.97
63	Vancouver	Canada	52.4	52.8	50.9	55.7	14.07%	50.4	51.5	54.1	54.5	51.5	50.4	52.7	52.6	50.7	50.9	51.5	50.1	54.9	52.6
64	Madison	USA	51.2	51.8	54.1	54.9	-4.18%	50.4	51.2	58.0	50.7	53.6	51.8	52.4	53.2	50.6	50.5	51.1	51.5	51.4	52.09
65	Stockholm	Sweden	53.6	51.9	50.8	54.6	-15.93%	50.4	51.0	54.1	50.3	52.0	56.0	53.7	52.4	55.4	51.0	52.6	50.6	50.9	51.89
66	Osaka	Japan	55.3	50.6	52.1	50.8	5.17%	50.4	50.1	54.1	50.1	52.4	52.3	51.1	52.5	50.8	50.8	50.2	50.0	55.6	51.74
67	Calgary	Canada	51.2	51.2	51.8	51.6	7.67%	50.4	51.4	53.8	50.6	50.1	51.2	51.4	50.2	52.1	50.1	50.4	50.3	51.6	51.25
68	Wichita	USA	52.3	50.0	50.2	56.7	-7.42%	50.4	50.4	53.6	50.0	50.0	50.2	50.0	50.3	50.0	51.6	53.4	50.5	50.4	50.73
69	Madrid	Spain	55.7	51.0	52.3	51.0	-36.21%	50.4	50.5	57.1	50.1	50.6	53.7	52.7	51.0	51.4	51.1	51.6	50.5	50.7	50.51
70	Albuquerque	USA	51.1	50.4	51.3	50.6	0.08%	50.3	50.7	53.4	50.6	51.8	50.8	51.6	51.9	51.9	51.2	51.2	50.6	51.2	51.06
71	Düsseldorf	Germany	50.0	50.1	50.6	50.0	-4.59%	50.3	50.9	53.4	50.3	50.0	50.0	50.0	50.8	50.0	50.5	50.0	50.5	50.2	50.0
72	Salt Lake City	USA	50.0	51.5	54.1	54.4	-0.62%	50.2	51.8	57.7	84.6	52.3	53.2	55.7	54.1	53.8	57.2	51.2	51.7	54.0	55.01
73	Hamburg	Germany	58.4	50.6	51.6	53.0	1.48%	50.2	50.1	54.0	53.6	50.3	51.9	50.2	50.4	50.9	50.9	50.9	54.1	53.2	51.81
74	Edmonton	Canada	51.2	50.9	51.4	50.7	8.63%	50.2	50.1	53.6	50.4	50.4	51.2	52.6	50.7	50.4	50.6	50.2	50.8	50.5	51.0
75	Taipei	Taiwan	100.0	50.6	50.0	50.7	-39.80%	50.1	50.1	54.1	50.0	51.4	50.3	51.4	51.0	51.1	50.3	50.6	51.3	50.3	51.83
76	Rome	Italy	66.3	50.3	50.4	50.1	-31.00%	50.1	50.6	67.4	50.2	52.6	50.1	51.2	50.5	50.4	50.3	50.8	51.5	50.4	51.28
77	Cincinnati	USA	50.7	50.7	52.7	52.4	0.81%	50.0	51.3	53.9	50.4	50.5	55.6	58.1	52.6	52.2	55.5	52.3	50.4	50.8	52.57
78	Utrecht	Netherlands	57.3	50.5	51.0	52.0	-5.68%	50.0	51.4	53.6	51.4	51.3	51.1	51.2	53.0	50.7	51.0	51.2	50.3	55.1	51.54
79	Adelaide	Australia	53.6	50.1	51.0	50.4	18.76%	50.0	50.2	53.6	50.3	50.2	50.0	51.5	50.0	50.7	50.0	50.0	50.0	50.6	51.04
80	Memphis	USA	51.0	50.9	51.8	55.6	-7.41%	50.0	50.3	54.1	50.3	50.1	50.3	51.3	50.7	52.3	50.1	50.4	50.1	50.8	50.74
81	Louisville	USA	51.2	50.4	52.2	50.7	-6.50%	50.0	50.3	53.7	50.4	50.3	51.0	50.3	50.5	50.1	51.0	54.2	50.4	50.5	50.62
82	Seoul	South Korea	77.2	50.2	50.4	50.7	-43.88%	50.0	50.3	56.0	50.0	50.9	51.2	51.4	51.0	50.3	50.2	50.5	50.7	50.6	50.56
83	New Orleans	USA	50.0	50.2	51.6	50.8	-8.12%	50.0	50.3	53.4	50.3	50.1	50.9	51.3	50.5	50.6	54.6	50.2	50.5	50.8	50.55
84	Lyon	France	51.2	50.4	51.1	54.5	-27.64%	50.0	50.2	54.1	50.1	54.4	50.3	50.8	50.9	50.2	50.3	50.0	50.1	53.0	50.11
85	Lund	Sweden	50.0	51.3	52.8	52.8	-20.82%	50.0	50.7	52.2	51.3	50.0	51.6	51.9	50.6	50.3	50.0	50.0	52.1	50.2	50.1

City Selection

The study began by assessing the healthtech credentials of thousands of global cities against a range of indicators. The final city selection comprises 85 global cities, all of which constitute major hubs for innovation in different areas of healthcare.

In order to capture the clusters of innovation located on the edge of administrative city boundaries, the matching of cities and company headquarters was performed using Metropolitan Statistical Areas for US cities and the OECD’s concept of Functional Urban Area for global cities.

This allows for the inclusion of peripheral innovation centres that contribute to the economic infrastructure of the healthtech sector in each city.

Scoring

Multiple indicators were used as components when scoring each factor. The underlying indicators were first standardized using a Z-Score [z = (x-μ)/σ; μ=indicator mean; σ=indicator standard deviation] normalization procedure.

The final score was computed as a weighted average of the component Z-Scores, and the resulting score normalized to a scale from 50 to 100 using min-max normalization [(value - min)/(max-min)*50+50].

The scale’s floor of 50 was chosen to emphasize that the cities presented in the final dataset represent the best ranking cities chosen from a wider shortlist of high-ranking cities.

The factors and their component indicators are presented in detail below:

R & D Funding

A score that measures the amount of research and development funding received by private institutions, healthcare institutes, governmental research bodies and universities in each city. A high score indicates a greater presence of research institutions that excel in computer science and medicine.

Source: SCImago.

Number of Healthtech Startups

A score that measures the number of active healthtech startups within a city. To be included, companies must have been founded since 2011, and must have last received external funding since 2011. A high score indicates a higher number of startups in the city.

Source: Crunchbase.

Number of Healthcare Legacy Corporations

A score that measures the number of active healthcare legacy companies within a city. To be included, companies must have been founded before 2011, and must have last received external funding before 2011. A high score indicates a higher number of legacy companies in the city.

Source: Crunchbase.

Funding & Employment

A score that measures the amount of private funding given to companies in each city, as well as employment in the healthtech sector. A high score indicates greater amounts of funding and employment levels in the healthtech innovation ecosystem.

Source: Crunchbase.

Salary Levels

This factor compares the salary levels of healthtech employees in each city based on the following four skill profiles:

Data scientist
Biopharma sales representative
Biomedical engineer
Laboratory technician

We calculated this figure in two steps. Firstly, we calculated the average deviation from the median salary for each of the four skill profiles. Next, we calculated the combined average deviation from the median of these skill profiles in order to provide an indication of healthtech professionals’ salaries in each city. A higher percentage indicates a higher average salary.

Sources: The Bureau of Labor Statistics; SalaryExpert.

Global Capitals of Innovation for HealthTech Silos

Telemedicine

A score that represents the number of companies working in telemedicine in each city, encompassing companies that are developing B2C telemedicine solutions for remote healthcare provision.

A higher score indicates a larger startup ecosystem, a greater amount of funding, and the presence of more industry leaders among legacy companies, weighted by revenue.

Source: Crunchbase.

Mental Health & Psychology

A score that represents the number of companies working in the area of mental health and psychology in each city.

A higher score indicates a larger startup ecosystem, a greater amount of funding, and the presence of more industry leaders among legacy companies, weighted by revenue.

Source: Crunchbase.

Biometric Data Gathering

A score that represents the number of companies working in biometric data gathering in each city, in terms of software and services as well as the production of medical devices.

A higher score indicates a larger startup ecosystem, a greater amount of funding, and the presence of more industry leaders among legacy companies, weighted by revenue.

Source: Crunchbase.

Health Data & analysis

A score that represents the number of companies working in the area of health data and analysis in each city. It looks at companies that specialise in the collection, elaboration and delivery of health data, from healthcare records to diagnosis and prediction.

A higher score indicates a larger startup ecosystem, a greater amount of funding, and the presence of more industry leaders among legacy companies, weighted by revenue.

Source: Crunchbase.

Cardiovascular

A score that represents the number of companies working in the area of cardiovascular treatment in each city.

It looks at companies that deal with the circulatory system and develop both software and hardware solutions for issues ranging from heart disease to circulatory diseases.

A higher score indicates a larger startup ecosystem, a greater amount of funding, and the presence of more industry leaders among legacy companies, weighted by revenue.

Source: Crunchbase.

Dentalcare

A score that represents the number of companies working in the area of dentalcare in each city, encompassing the companies developing software and hardware solutions for dentalcare.

A higher score indicates a larger startup ecosystem, a greater amount of funding, and the presence of more industry leaders among legacy companies, weighted by revenue.

Source: Crunchbase.

Dermatology

A score that represents the number of companies working in the area of dermatology in each city, encompassing the companies developing solutions for the treatment of skin diseases.

A higher score indicates a larger startup ecosystem, a greater amount of funding, and the presence of more industry leaders among legacy companies, weighted by revenue.

Source: Crunchbase.

Eyecare

A score that represents the number of companies working in the disciplines of ophthalmology and optometry in each city, encompassing the companies developing hardware and software solutions in this area.

A higher score indicates a larger startup ecosystem, a greater amount of funding, and the presence of more industry leaders among legacy companies, weighted by revenue.

Gynaecology

A score that represents the number of companies working in the area of gynaecology in each city.

A higher score indicates a larger startup ecosystem, a greater amount of funding, and the presence of more industry leaders among legacy companies, weighted by revenue.

Source: Crunchbase.

Hearing Aids

A score that represents the number of companies working in the provision of hearing aids in each city.

A higher score indicates a larger startup ecosystem, a greater amount of funding, and the presence of more industry leaders among legacy companies, weighted by revenue.

Source: Crunchbase.

Medical Vision & Imaging

A score that represents the number of companies working in the area of medical vision and imaging in each city.

A higher score indicates a larger startup ecosystem, a greater amount of funding, and the presence of more industry leaders among legacy companies, weighted by revenue.

Source: Crunchbase.

Nutrition

A score that represents the number of companies working in the area of nutrition in each city.

A higher score indicates a larger startup ecosystem, a greater amount of funding, and the presence of more industry leaders among legacy companies, weighted by revenue.

Source: Crunchbase.

Prosthetics

A score that represents the number of companies working in the area of prosthetics in each city.

A higher score indicates a larger startup ecosystem, a greater amount of funding, and the presence of more industry leaders among legacy companies, weighted by revenue.

Source: Crunchbase.

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The Healthtech Index

The Global Capitals of Healthtech Innovation

Instructions for journalists

Index Scores

Methodology

City Selection

Scoring

R & D Funding

Number of Healthtech Startups

Number of Healthcare Legacy Corporations

Funding & Employment

Salary Levels

Telemedicine

Mental Health & Psychology

Biometric Data Gathering

Health Data & analysis

Cardiovascular

Dentalcare

Dermatology

Eyecare

Gynaecology

Hearing Aids

Medical Vision & Imaging

Nutrition

Prosthetics

Contact us

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The Global Capitals

of Healthtech Innovation