Telephone Answering Service Revenues World Summary: Market Values & Financials by Country

Telephone Answering Service Revenues

World Summary

This research provides data on Telephone Answering Service Revenues. The report is an extract of the main database and provides a number of summary datasets for each of the countries covered.

Contents

Preface

Products

Countries

Definitions

Market Notes & Definitions

Market Data

The Market Environment

Data Time Series

Forecast Data + Market Forecasts

Long-Range Forecast Data & Time Series

Exchange Rates & Purchasing Power Parity

Financial Notes & Definitions

Financial Data

Financial Data Definitions

Country Data

Algeria

Argentina

Australia

Austria

Azerbaijan

Bangladesh

Belarus

Belgium

Brazil

Bulgaria

Canada

Chile

China

Colombia

Czech Republic

Denmark

Egypt

Finland

France

Germany

Greece

Hong Kong

Hungary

India

Indonesia

Iran

Israel

Italy

Japan

Malaysia

Mexico

Netherlands

Nigeria

Norway

Pakistan

Poland

Portugal

Romania

Russia

Saudi Arabia

Singapore

Slovakia

Slovenia

South Africa

South Korea

Spain

Sweden

Switzerland

Taiwan

Thailand

Turkey

Ukraine

United Kingdom

United States

Vietnam

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The Telephone Answering Service Revenues PDF Summary

Market Consumption

PureData Express PDF Report

Tables

Countries Covered

Market Notes & Definitions

Database Editions

The Telephone Answering Service Revenues Databases

Description

Coverage

Database Editions

Markets & Products

Products & Markets

Geographic Coverage

Financial data

General Contents

World Report + Database Edition Contents

Databases & Structures

Chapters

Spreadsheets

Deliverables

Toolkits

Proprietary Software package compatibility

Real Time Support

Regional Report country coverage

After-Sales Services

Report & Database After-Sales Services

Real Time Support

Resource Webs -v- Dedicated sites

Product Level

Data Product levels

How to order After-Sales Services

Modular research

1. Market Research

2. Distribution Channels & End Users Data

3. Survey Data

4. Corporate Data

5. Additional Data

Database Products supported by the After-Sales Service

Methodology

Original Research

Data Sources

About DataGroup

World Summary eBook Edition

Database ID: 769997682831  Base Database Reference: 561421_L

Published by The DataGroup Stiftung, Vaduz, Liechtenstein. Copyright © by DataGroup Stiftung.

Preface

This document provides data on Telephone answering services Lines. This represents a small extract of the main database and provides summary data for each of the countries covered.

This Telephone Answering Service Revenues World Summary covers one headline topic, namely Telephone Answering Service Revenues; however this heading itself is comprised of  15  Product or Market Sectors.

There are 3 classes of data [7 Year datasets], Market Data and Financial Data & Margins.

The Telephone Answering Service Revenues World Summary eBook Edition provides 7 years of Historic & Current data on the market in about 100 countries. The Aggregated market comprises of the 15 Products and Services listed. The Products and Services covered (Telephone answering services Lines) are classified by the 5-Digit NAICS Product Codes and each Product and Services is then further defined by each 6 to 10-Digit NAICS Product Codes. In addition full Financial Data (188 items: Historic & Current Balance Sheet, Financial Margins and Ratios) Data is provided for about 100 countries.

The limitations of the eBook format

Whereas the PureData Express PDF Edition may have up to 2,500 pages, and a World Report + Database Edition may have 22,000 files, thousands of pages, and 18,000 Access tables and Excel spreadsheets, obviously this would not be possible to render in an eBook edition.

The limitations of the eBook page, and the physical number of pages, makes the presentation of large amounts of tabular data difficult; therefore this eBook edition is limited in the data which can be shown.

The main limitations of this Telephone Answering Service Revenues World Summary is that the number of countries is limited to about 100 countries (rather than 200 countries in some editions), the Time Series is limited to 7 years of current data (rather than historic data by year from 1997 & forecast data by year to 2043 found in some editions), and the Market data is limited to the headline Product / Market, namely Telephone answering services Lines (rather than each of the  15 Product & Market Sectors covered individually by year from 1997 and forecast to 2043 as in some editions).

Why no forecasts?

Market and Financial Forecasts are dynamic and change on an almost weekly basis.  The database for Telephone Answering Service Revenues, on which this eBook edition is based, is held in real-time and updated on a monthly schedule.

Static off-the-shelf editions, like the eBook and Print Editions cannot be updated in real time, and thus the data within them may be quickly out-of-date. It is for this reason that our eBook and Print editions are low cost and actually only represent an introduction to the topic.

Thus dynamic forecasts are given in the PureData Express PDF Edition and the Report + Database Editions; because these editions are generated in real-time for each order; and this ensures that users get the most up-to-date data and forecasts available.

Real-Time Editions available

1.     PureData Express PDF Edition

2.     World Report + Database (up to 200 countries)

3.     Regional Report + Database (9 regions)

4.     Country Report + Database (up to 200 individual countries)

5.    Country & Town Report + Database (up to 200 individual countries, plus major Towns & Cities in the country)

Database ID: 769997682831   Base Database: 561421_L

Products

The Telephone Answering Service Revenues constituent Product & Market Sectors include:-

TELEPHONE ANSWERING SERVICE REVENUES

Product Coding

Product Code / Revenue Line coded reports and databases

This data is from Market databases which are designed to be compatible with U.S. government databases.

The report structures, datasets, field names, et al, are an analogue of U.S. Department of Commerce databases, and the U.S. Census databases. This series of report is designed to provide an analogue of U.S. Census data, but in a worldwide context.

The products are described under their NAICS or SIC Product Codes. This coding systems classifies products within Product Codes.

For a full explanation of the NAICS coding system see: http://www.census.gov/eos/www/naics/

For Revenue Lines the NAICS coding system uses a series of Product Code or Revenue Lines where the headline product code is composed of the sum of the underlying codes.

These product / revenue lines codes are of course determined by the U.S. Government agencies.

Countries

This report covers the following Countries:-

Data Caveat

This report is designed to give a common definition, unit of measure and quantification of markets in the countries covered. These reports rely on data collection at various levels of the product flow; this effectively means, the producers, the distribution channels and the end user or consumers. This data is then correlated with any national and international statistical data produced by official agencies. Unfortunately, product flow data gathering in some countries is difficult, and moreover the official statistical data is both inaccurate and sparse. In such circumstances, in some countries, we have to flag a Data Caveat as a warning.  What this means is that in some countries the data is not sufficiently verifiable for statistical purposes and in those cases the data may not be presented.

Definitions

Market Notes & Definitions

ALL MARKET DATA FIGURES ARE IN REAL TERMS

REAL TERMS are figures excluding the effects of inflation, thus the figures given can be readily converted into units or volume.  This is done by applying the average product prices for the base year and dividing the figures by this price for all years. Thus it is possible to easily ascertain historic product volume.

A most recent published accounts base is used because most company accounts are historic and thus clients will be able to compare the figures given in this report with their own company figures without the need for conversion or the need for inflators or multiplying factors.

Average sales prices are not appropriate or applicable to this database.

The  effect of using Real Terms figures is that the forecasted figures will be depressed, as they do not include inflation, and figures from former years (i.e. before the Base Year) will be increased:

In the diagram, the Base Year is at the convergent point of Current Values and Real Terms Values.

The Current Cost usually increases because of the effects of inflation.

The Real Terms figures, do not include the effects of inflation and thus only increases or decreases if the actual product volume or units increase or decrease. In this way it is possible to evaluate the market & other data more realistically.

The figures represent an overall median probability trend line that is plotted to give the most probable course amongst the annual scatter. Thus, the figures do not reflect year-on-year depressions and peaks in absolute terms, but instead represents a year-on-year modified trend line. The various SCENARIOS provided in the database reflect the differential forecasts specific to the factors being forecast.

The U.S. government uses the term Constant dollars (or real dollars) and this is defined thus: Output values converted to a base price level, calculated by dividing current (or actual) dollars by a deflator. Use of constant dollars eliminates the effects of price changes between the year of measurement and the base year and allows calculation of real changes in output.

Market Data

The MARKET DATA covers the historic and forecast years.

The Market Environment

There are four basic issues to investigate when considering the market environment:

1. MARKET GROWTH (both short-term and medium term) is fully analysed in other editions. The importance of this factor is of course self-evident and thus not requiring further explanation.

2. THE MARKET STRUCTURE is very critical for profitability. The nature of the market, the location of the Marketplace, the customer base and the supplier structure is fully provided in several other sections of this study and therefore no further discussion is necessary.

3. MARKET SERVICED is the term used to denote the function between the product/s and services offered by entities and the particular market sector the marketing effort reaches. In addition, there is the AVAILABLE MARKET to consider as this represents the ‘real market’ available to any particular company or supplier.

Thus the Market Area Serviced is the part of the market for which companies are offering a suitable product or service and the Available Market are those sector of the market reached by a company's marketing effort. These areas may overlap or merge to form the Market Area Serviced, i.e. the market sectors for which companies are offering suitable product/s or services and which may theoretically be reached by a company’s sales activities.

The Market Area Serviced is the true market for companies in terms of product/s & services, however parts of this market may be difficult or impossible to attain due to the control exerted by either the vested Purchasers or Suppliers.

Data Time Series

The DATA covers a 7 year time series format as this is the most popular time series demanded by readers.

Forecast Data + Market Forecasts

MARKET FORECAST DATA is available in other editions, and these forecasts covers the years to 2028 and 2043.

CORPORATE DATABASE:  These figures only refer to the Markets accessible to Industry Companies and may not reflect the overall or total markets for the products or market sectors.

1. ALL FIGURES IN THIS SECTION ARE IN REAL TERMS: CURRENT YEAR BASE

REAL TERMS are prices excluding the effects of inflation, thus the Market figures given can be readily converted into units or volume.  This is done by applying the average sales prices for the Current Year and dividing the Market figures by this price for all years. Thus it is possible to easily ascertain previous and forecasted product volume.

A Current Year base is used because company data is historic and thus readers will be able to compare the figures given in this volume with their own figures without the need for conversion or the need for inflators or multiplying factors.

The effect of using Real Terms figures is that the forecasted figures will be depressed, as they do not include inflation, and figures from former years (i.e. before the Current Year) will be increased.

2. The Market figures and the Trend line represent an overall median probability trend line which is plotted to give the most probable course amongst the annual market forecast scatter. Thus the figures do not reflect year-on-year depressions and peaks in absolute terms, but instead represents a year-on-year modified trend line.

3. All analyses are based on correlations of the results of the Surveys of Suppliers, Distribution and Customers.  Thus, for example, an analysis of Market Sectors will gain data firstly from the End User Surveys and secondly confirmations and correlations will be gained from the Surveys of Suppliers and the Distributors. This in the opinion of the publishers is a very accurate method and is far superior than, for example, that which is used in the compilation of the majority of published governmental statistics.

4.  All figures given refer only to the product/s covered and not to any other product or systems which may be connected or associated with the products covered.

5.  The TREND figures given in the Industry section refers to the average year-on-year change in the period.

6.  The YEAR-ON-YEAR TREND figures refer to the average year-on-year change in the period.

Long-Range Forecast Data And Time Series

The data in the LONG-RANGE FORECAST time series covers a period of 28 years. This is the standard long range forecast format and is usually used for planning production plant / capital projects, macro-economic trends and demographic data.

LONG-RANGE REGRESSIONAL HISTORIC ( 1972 - 2046 ) DATA AND TIME SERIES

The data in the LONG-RANGE REGRESSIONAL historic/forecast time series covers the years to 1972-2046 This is the standard long range HISTORIC / FORECAST format. We provide users with this time series (on request) as part of our Service to enable long range regressional analysis for forecasting models which require an extended time period analysis.

Exchange Rates + Purchasing Power Parity

The report database and forecasting models do not use current market or bank exchange rates as these can be deceptive. The rates used are those of the base year in addition to a number of real value factors which reflect the actual or forecasted value of the product in each of the national markets over the period 1972 to the Current year. A simple conversion of local currency into U.S. Dollars or any other national currency cannot be used to adequately quantify products or services.

The report database and forecasting models are attempting to show the relative values of products or markets free from any extraneous effects of currency movements or government fiscal policy which arbitrarily alter currency exchange rates.  Thus the currency calculations and data in the database are indicating relative unit values or the relative cost of the product or service in the national market.

We do not indicate the Currency Conversion Rate that you can use with any calculations and readers will have to apply their own discretion in this respect.  Beware however, such calculations involving currency conversions can be artificial and spurious and may not reflect real values of either products or markets.

The diagram below shows the problem of relating Product or Market Values or Costs in Real Terms, the National Currency Value in Real Terms (i.e. excluding the effects of Inflation) and the Value of another currency (the Converted Currency, given as $) in relation to the National Currency.

The U.S. government definitions are somewhat simplistic and thus the database and forecasting models used by DataGroup make use the following factors:-

 1. The UNIT VALUE of the Product

 2. Discounting in the UNIT VALUE of the Product in the market

 3. Stockholdings and the UNIT VALUE of those stocks

 4. Forecast of UNIT VALUE of the Product

 5. The Real Terms VALUE of the National Currency

 6. The Factor between the CURRENT Value of the National Currency and the UNIT of Product over time

 7. The Factor between the REAL TERMS Value of the National Currency and the UNIT of Product over time

 8. Forecast of the National Currency in REAL TERMS

 9. Forecast of the Factor between the REAL TERMS National Currency and the UNIT of Product over time

10. Each of the above factors (1-9) in relation to the Converted Currency both in CURRENT Value and REAL TERMS Value over time.

THE PROBLEM OF CURRENCY EXCHANGE CONVERSIONS

The following diagram is used to explain the problems associated with Currency Conversions. 

PURCHASING POWER PARITY

U.S. Government definitions

The U.S. government uses currency parity estimates (for GDP and other economic measures) as have from time to time been revised from figures published in previous government statistics, including issues of the Handbook of International Economic Statistics, the Federal Reserve Bank, the Department of Commerce,  and the CIA. Those bodies use purchasing power parity conversion rates based on Summers and Heston (PENN World Tables). The present estimates are based on purchasing power parity conversion rates published in the World Bank's World Development Report (1996, et seq.), a widely used source that includes a more up-to-date list of countries than the PENN World Tables. Estimates for countries not included in the World Development Report make use of the PENN World Tables and other published sources.

Constant versus Current Dollars

Estimates of gross domestic product (GDP) are presented in base year (1997, 2007, 2014, etc.) US dollars. In contrast, foreign trade figures are presented in current dollars, i.e. in dollars of the year to which the figure pertains.

GDP Methodology

Estimates of national data (E.g. gross domestic product - GDP) estimates are based on purchasing power parity (PPP) calculations rather than on conversions at currency exchange rates. PPP dollar estimates are calculated by applying standardized international dollar prices to a country's output of goods and services and are the best measure for international comparisons of GDP. The GDP data presented in this publication represent the latest available estimates for individual countries, regional groupings, and world totals. GDP figures are frequently revised and vary according to the source and/or date of estimate. Consequently, some of the GDP data reported in may differ somewhat from data presented in other Agency publications - including the CIA - because of different cut-off dates in researching and compiling the data.

PRODUCT PARITY

The basis of the data provided is to allow users to produce business plans and forecasting models across national and statistically diverse boundaries. Thus it is necessary to adopt a standard product definition which can be then applied across national borders. The product definition chosen is the U.S. government’s NAICS product codes (and the previous SIC product codes where relevant). The U.S. government stubbornly clings to the imperial system of measurement and this further complicates the matter. The problem is to apply these product definitions across the international boundaries.

The use of PRODUCT PARITY is intended to allow trans-national business planning & forecasting (however readers can request data based on national product definitions), and in general terms Product Parity means that equivalent products are compared even where the exact technical specification, or quantification, of the product is not the same. Thus a 12 fluid ounce liquid container as defined in the (Imperial measuring system) NAICS product codes is quantitatively equivalent to 35.5ml, however for the purposes of Product Parity it will be the equivalent of a 33ml liquid container in countries with a Metric measuring system. Similarly in non-Metric markets a 16 ounces or 1 pound Imperial measure, whilst actually equivalent to 454 grams, will equate to a 450 gram product in Metric measure markets.

For many products this ‘Product Parity’ will be based on the ‘Purchasing Parity unit costs’ -v- ‘product performance’, rather than ‘unit cost’ -v- ‘technical specifications’. This is because national markets impose different technical specifications on products which essentially fulfil the same customer requirement, and thus these products have a Product Parity which can be used for uniform, cross border, business planning and forecasting.

MARKET CLASSIFICATION SYSTEM:  NAICS -V- SIC

Long term users of these databases and forecasting models will have noted that U.S. Federal statistical data collected on or after January 1, 1997, use the North American Industry Classification System (NAICS). The previous Standard Industrial Classification (SIC) system has been used to classify industry sectors in the U.S. economy since 1940. However, the basic structure has remained substantially the same since.

Criticisms have been levelled at the current NAICS: it focuses too heavily on manufacturing, and gives little recognition to the growing service sector that now represents 80 percent of GDP. NAICS is based on a production concept. Classifying an industry by production means that establishments using similar processes and inputs to produce a good or service are grouped together. Inputs include types of labour & skills, capital equipment, and intermediate materials. In many cases intangible inputs may be important, especially in the services industries.

For the manufacturing industries, most of the effort was spent on harmonizing the systems of the United States, Canada, and Mexico and addressing the statistical needs of U.S. industries. The United States will have approximately the same number of manufacturing industries in the NAICS as it did in the SIC. A subsector has been created for computer & electronic product manufacturing to reflect the growth in advanced technologies.

In addition to the changes in the manufacturing industries, three new sectors have been created that did not exist within the SIC system:

(1) The information sector brings together such industries as publishing, motion picture and video, sound recording, broadcasting, telecommunications, libraries, on-line information services, and data processing.

(2) The professional, scientific, and technical services sector includes those establishments engaged in processes that involve significant human capital. This sector includes legal, architectural, and engineering services, and firms engaging in management consulting, public relations, and advertising.

(3) The health-care and social assistance sector was developed because it is difficult to distinguish the boundaries of health care and social assistance. These industries range from those that provide acute (doctors/hospitals) to minimal health care with social assistance to those providing only social assistance, such as housing facilities for the elderly.

Financial Notes & Definitions

Financial Data

The FINANCIAL DATA covers a 7 year time series.  

FINANCIAL BALANCE SHEETS