The Report Covers travel insurance companies in USA and it is Segmented By Insurance Coverage (Single-Trip Travel Insurance and Annual Multi-trip Travel Insurance), By Distribution channels (Insurance Intermediaries, Insurance Companies, Banks, Insurance Brokers, and Others) and By End-User (Senior Citizens, Business Travelers, Family Travelers, and Others (Education Travelers, etc.)). The report offers market size and forecasts for the United States Travel Insurance Market in value (USD Billion) for all the above segments.

This statistic shows the leading travel insurance companies in the U.S. in 2019, by overall rating. USI Affinity came in third with an overall rating of 8.5 out of 10.

The revenue of the global travel insurance market is predicted to be nearly eight times larger in 2030 than it was in 2021. Sized at approximately 14.3 billion U.S. dollars in 2021, the market is expected to reach the size of around 108.8 billion U.S. dollars by 2030, according to Next Move Strategic Consulting. The source attributed this to an outlook that vaccinations, growing business travels, and the availability of online booking sites will lead to the global travel industry to recover from the coronavirus pandemic.

The Report Covers Travel Insurance Companies in India and the Market is Segmented By Insurance Coverage (Single-Trip Travel Insurance, Annual Multi-trip Travel Insurance, and Others), By Distribution channels (Direct Sales, Online Travel Agents, Airports And Hotels, Brokers, and Other Insurance Intermediaries) and By End-User (Senior Citizens, Business Travelers, Family Travelers, and Others (Education Travelers, etc.). The market size and forecast values for the India Travel Insurance Market are Provided in USD million for the above segments.

The Report Covers European Travel Insurance Companies and it is Segmented By Insurance Coverage (Single-Trip Travel Insurance, Annual Multi-trip Travel Insurance, and Others), By Distribution channels (Direct Sales, Online Travel Agents, Airports And Hotels, Brokers, and Other Insurance Intermediaries), By End-User (Senior Citizens, Business Travelers, Family Travelers, and Others (Education Travelers, etc.) and by Country (Germany, United Kingdom, France, Italy, Spain, and Rest of Europe). The Market size and forecasts for Europe Travel Insurance Market are provided in terms of value (USD Million) for all the above segments.

[217+ Pages Report] The global Corporate Travel Insurance market size is expected to grow from USD 3,729.40 million to USD 10,274.23 million by 2028, at a CAGR of 18.40% from 2022-2028

The website shows data on the plan and implementation of the health services program by individual health activities (VZD) :

• hospital medical activity,
• general outpatient medical activity,
• specialist outpatient medical activity,
• dental practice,
• other health activities,
• activity of accommodation facilities for patient care,
• social care without accommodation for the elderly and disabled,
• production of pharmaceutical preparations,
• retail trade in specialized stores with pharmaceutical products,
• compulsory social security activity.

Within the framework of each activity, the data for each period are shown separately by contractors and together, the activity by regional units of ZZZS and the activity data at the level of Slovenia together.

Data on the plan and implementation of the health services program are shown in the accounting unit (e.g. points, quotients, weights, groups of comparable cases, non-medical care day, care, days...), which are used to calculate the work performed in the field of individual activities.

The publication of information about the plan and implementation of the program on the ZZZS website is primarily intended for the professional public. The displayed program plan for an individual contractor refers to the defined billing period. (example: The plan for the period 1-3 201X is calculated as 3/12 of the annual plan agreed in the contract).

The data on the implementation of the program represents the implementation of the program at an individual provider for insured persons who benefited from medical services from him during the accounting period. Data on the realization of the program do not refer to persons insured in accordance with the European legal order and bilateral agreements on social security. Data for individual contractors are classified by regional units based on the contractor's headquarters. The content of the data on the "number of cases" is defined in the Instruction on recording and accounting for medical services and issued materials.

The institute reserves the right to change the data, in the event of subsequently discovered irregularities after already published on the Internet.

In 2023, Taiwan Travel Insurance Market reached a value of USD 207.9 million, and it is projected to surge to USD 670.6 million by 2030

In 2023, Sweden Travel Insurance Market reached a value of USD 258.5 million, and it is projected to surge to USD 623.0 million by 2030

The global travel insurance market size reached USD 20.0 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 50.4 Billion by 2033, exhibiting a growth rate (CAGR) of 10.77% during 2025-2033. There are various factors that are driving the market, which include the rising focus on enhanced convenience during purchasing, managing, and utilizing services, favorable government initiatives, and increasing demand for personalized and customized traveling solutions.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the global, regional, and country levels for 2025-2033. Our report has categorized the market based on insurance type, coverage, distribution channel, and end user.

In 2023, Norway Travel Insurance Market reached a value of USD 71.6 million, and it is projected to surge to USD 109.1 million by 2030

[235+ Pages Report] The global Travel Insurance market size is expected to grow from USD 13,193.40 million in 2021 to USD 49,132.95 million by 2028, at a CAGR of 24.50% from 2022-2028

United States Health Insurance: Premium Per Member Per Month data was reported at 364.000 USD in Sep 2024. This stayed constant from the previous number of 364.000 USD for Jun 2024. United States Health Insurance: Premium Per Member Per Month data is updated quarterly, averaging 262.000 USD from Mar 2012 (Median) to Sep 2024, with 51 observations. The data reached an all-time high of 364.000 USD in Sep 2024 and a record low of 178.000 USD in Sep 2013. United States Health Insurance: Premium Per Member Per Month data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG017: Health Insurance: Industry Financial Snapshots.

The corporate travel insurance market size was over USD 5.73 billion in 2024 and is anticipated to cross USD 58.7 billion by 2037, growing at more than 19.6% CAGR during the forecast period i.e., between 2025-2037. Europe industry is expected to dominate majority revenue share by 2037, driven by increasing number of business travelers with high travel spending, increasing trend of travel and tourism, and significant economic growth of the region.

In 2023, the gross premium written value by travel insurance companies in Singapore amounted to 295.1 million Singapore dollars. This rebound follows a sharp decline since 2019, with the impact of Covid-19 significantly reducing travel activities.

Thailand Non Life Insurance: LR: MI: Travel Insurance data was reported at 22.213 % in Dec 2018. This records an increase from the previous number of 20.731 % for Sep 2018. Thailand Non Life Insurance: LR: MI: Travel Insurance data is updated quarterly, averaging 20.074 % from Mar 2016 (Median) to Dec 2018, with 12 observations. The data reached an all-time high of 30.517 % in Jun 2018 and a record low of 11.779 % in Jun 2016. Thailand Non Life Insurance: LR: MI: Travel Insurance data remains active status in CEIC and is reported by Office of Insurance Commission. The data is categorized under Global Database’s Thailand – Table TH.Z032: Non Life Insurance Statistics.

Imputed employer-sponsored health insurance coverage data which when linked to the March Annual Social and Economic Supplement to the Current Population Survey (March CPS), generates estimates of the number of individuals with different types of insurance coverage.

Gross Written Premiums: Health data was reported at 8,514,432.553 SAR th in Sep 2023. This records a decrease from the previous number of 8,849,178.998 SAR th for Jun 2023. Gross Written Premiums: Health data is updated quarterly, averaging 4,573,232.320 SAR th from Mar 2009 (Median) to Sep 2023, with 59 observations. The data reached an all-time high of 12,555,928.187 SAR th in Mar 2023 and a record low of 821,126.645 SAR th in Jun 2009. Gross Written Premiums: Health data remains active status in CEIC and is reported by Saudi Central Bank. The data is categorized under Global Database’s Saudi Arabia – Table SA.Z020: Insurance Statistics. [COVID-19-IMPACT]

In 2023, Denmark Travel Insurance Market reached a value of USD 119.8 million, and it is projected to surge to USD 323.1 million by 2030

This layer shows health insurance coverage by type and by age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percent uninsured. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B27010 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.