Europe had the largest call center market in 2017, generating around ** billion U.S. dollars in revenue, followed by North America, with ** billion U.S. dollars. Latin America had the smallest market in that year, with ** billion U.S. dollars in revenue. Call center market The call center market includes the section of an organization that provides assistance to customers by phone. This can be for existing customers, for example by answering queries about the product or service they purchased, or for sales-based activities to obtain new customers. Given the broad nature of these services, virtually every industry is represented in the call center market, making it a prime candidate for outsourcing. Outsourcing can achieve lower costs through locating call center infrastructure in countries with lower costs, such as India and the Philippines, and significantly reduce the capital expenditure required to set up a call center. This has led to a growing outsourced call center market that is expected to reach **** billion U.S. dollars by 2020. Overall market growth Some analysts expect the overall call center market to experience strong growth in coming years, predicting it will more than double in size by 2022. However, other analysts expect growth to be more limited and unevenly spread. For example, some predict the European market to shrink in size by 2025, while the United States will grow to be the largest market. Data from the last few years seems to support the hypothesis that the U.S. market will overtake Europe, with many more new call centers opening there between 2016 and 2018.

This statistic shows the share of cloud-based and premise-based call centers in North America as of April 2017. During the survey, ** percent of respondents said their call center was a cloud-based call center.

This statistic shows the market size of call centers in China in 2017 with forecasts for 2020 and 2022. In 2017, call centers market size in China reached approximately 630 billion yuan and was estimated to grow up to almost 803 billion yuan by 2020.

The Japanese call center services market generated roughly **** trillion Japanese yen in sales during the fiscal year 2023. For the upcoming years, revenues of call center agencies were forecast to stagnate, staying at around **** trillion yen by 2026.

This data set is up-to-date as of 2017, but is no longer actively maintained by the City of South Bend.Call statistics from 311 including call volume, abandon rate, average wait time, and average talk time, broken out by day.

Iceland Number of Registered Enterprises: Activities of Call Centres data was reported at 4.000 Unit in 2017. This records an increase from the previous number of 3.000 Unit for 2016. Iceland Number of Registered Enterprises: Activities of Call Centres data is updated yearly, averaging 3.000 Unit from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 4.000 Unit in 2017 and a record low of 2.000 Unit in 2010. Iceland Number of Registered Enterprises: Activities of Call Centres data remains active status in CEIC and is reported by Statistics Iceland . The data is categorized under Global Database’s Iceland – Table IS.O013: Number of Registered Enterprises: Statistical Classification of Economic Activities Revision 2.

Italy LFLI: Emp: IA: AS: Call Center data was reported at 109.000 2010=100 in Dec 2017. This records an increase from the previous number of 108.900 2010=100 for Nov 2017. Italy LFLI: Emp: IA: AS: Call Center data is updated monthly, averaging 104.700 2010=100 from Jan 2000 (Median) to Dec 2017, with 216 observations. The data reached an all-time high of 123.600 2010=100 in Jan 2008 and a record low of 6.100 2010=100 in Feb 2000. Italy LFLI: Emp: IA: AS: Call Center data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.G016: Large Firm Labour Indicators (LFLI): 2010=100: NACE Rev. 2. Rebased from 2010=100 to 2015=100 Replacement series ID: 403628107

This provides the underlying data and volumes behind the reported performance of CSG Customer Service and presented quarterly to the Performance and Contract Management Committee. It is recognised that the email volumes recorded do not reflect the total number of emails received by the council, as has always been the case, and includes some webforms. This does not affect the quality of the service but needs to be addressed to show the full level of email and webform contact across the council’s services.

Pakistan CallCenter-IVR Banking Transactions: Value: Intra-Bank Funds Trans data was reported at 0.300 PKR bn in Dec 2019. This records an increase from the previous number of 0.200 PKR bn for Sep 2019. Pakistan CallCenter-IVR Banking Transactions: Value: Intra-Bank Funds Trans data is updated quarterly, averaging 0.200 PKR bn from Sep 2016 to Dec 2019, with 14 observations. The data reached an all-time high of 0.300 PKR bn in Dec 2019 and a record low of 0.000 PKR bn in Mar 2017. Pakistan CallCenter-IVR Banking Transactions: Value: Intra-Bank Funds Trans data remains active status in CEIC and is reported by State Bank of Pakistan. The data is categorized under Global Database’s Pakistan – Table PK.KA017: Payment System Statistics: Transactions. [COVID-19-IMPACT]

This statistic shows the segment share of call centers market revenue in China in 2017 with forecasts for 2022. In 2017, manpower outsourcing accounted for around ** percent of call centers market revenue in China.

This dataset provides Customer Service Satisfaction results from the Annual Community Survey. The survey questions assess satisfaction with overall customer service for inpiduals who had contacted the city in the past year. For years where there are multiple questions related to overall customer service and treatment, the average of those responses are providing in the summary dataset and the values for each question are provided in the detailed dataset.For years 2010-2014, respondents were first asked "Have you contacted the city in the past year?". If they answered that they had contacted the city, then they were asked additional questions about their experience. The "number of respondents" field represents the number of people who answered yes to the contact question.Responses of "don't know" are not included in this dataset, but can be found in the dataset for the entire Community Survey. A survey was not completed for 2015 (99999 indicates no recorded data).Due to changes in the survey questions, this dataset was last updated in 2017 and may not be updated again. The performance measure dashboard is available at 2.02 Customer Service Satisfaction.Additional InformationSource: Community Attitude SurveyContact: Wydale HolmesContact E-Mail: Wydale_Holmes@tempe.govData Source Type: Excel and PDFPreparation Method: Extracted from Annual Community Survey resultsPublish Frequency: AnnualPublish Method: ManualData Dictionary

Italy LFLI: GE: PE: AS: Call Centres data was reported at 195.600 2010=100 in Dec 2017. This records an increase from the previous number of 105.200 2010=100 for Nov 2017. Italy LFLI: GE: PE: AS: Call Centres data is updated monthly, averaging 94.900 2010=100 from Jan 2000 (Median) to Dec 2017, with 216 observations. The data reached an all-time high of 200.000 2010=100 in Dec 2016 and a record low of 66.800 2010=100 in Feb 2002. Italy LFLI: GE: PE: AS: Call Centres data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.G017: Large Firm Labour Indicators (LFLI): 2010=100: NACE Rev. 2. Rebased from 2010=100 to 2015=100 Replacement series ID: 403617907

This provides the underlying data and volumes behind the reported performance of CSG Customer Service and presented quarterly to the Performance and Contract Management Committee. It is recognised that the email volumes recorded do not reflect the total number of emails received by the council, as has always been the case, and includes some webforms. This does not affect the quality of the service but needs to be addressed to show the full level of email and webform contact across the council’s services.

Pakistan CallCenter-IVR Banking Transactions: Volume: Misc. Payments data was reported at 0.037 Unit mn in Dec 2019. This records a decrease from the previous number of 0.041 Unit mn for Sep 2019. Pakistan CallCenter-IVR Banking Transactions: Volume: Misc. Payments data is updated quarterly, averaging 0.044 Unit mn from Sep 2016 (Median) to Dec 2019, with 14 observations. The data reached an all-time high of 0.050 Unit mn in Mar 2017 and a record low of 0.034 Unit mn in Dec 2016. Pakistan CallCenter-IVR Banking Transactions: Volume: Misc. Payments data remains active status in CEIC and is reported by State Bank of Pakistan. The data is categorized under Global Database’s Pakistan – Table PK.KA017: Payment System Statistics: Transactions. [COVID-19-IMPACT]

Poland Mobile Phone: Centres data was reported at 58.000 Unit in 2017. This records a decrease from the previous number of 59.000 Unit for 2016. Poland Mobile Phone: Centres data is updated yearly, averaging 74.000 Unit from Dec 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 122.000 Unit in 2010 and a record low of 56.000 Unit in 2015. Poland Mobile Phone: Centres data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Poland – Table PL.TB001: Mobile Phone Statistics.

Data Description: Emergency Communications Center Calls are records captured for each call. The call data does not contain the nature of the emergency or dispatched resources. For dispatch data reference Police Calls for Service (CAD) or Cincinnati Fire Incidents (CAD).

Data Creation: This dataset includes both emergency (911) and administrative calls to the center. To obtain just emergency (911) calls filter for Call Type = 911.

Data Created By: The source of this data is the City of Cincinnati's Call System that was provided by Cincinnati Bell.

Refresh Frequency: This dataset contains calls from January 1, 2013 through December 14, 2017. On December 14, 2017 the Emergency Call Center transferred to a new phone system and the remainder of 2017 was captured in that system. Additionally, for a portion of 2014, around May, operations were temporarily transferred to the back-up location and call records were not captured.

Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

Disclaimer: In compliance with privacy laws, all Public Safety datasets are anonymized and appropriately redacted prior to publication on the City of Cincinnati’s Open Data Portal. This means that for all public safety datasets: (1) the last two digits of all addresses have been replaced with “XX,” and in cases where there is a single digit street address, the entire address number is replaced with "X"; and (2) Latitude and Longitude have been randomly skewed to represent values within the same block area (but not the exact location) of the incident.

Historical Dataset of Pueblo Youth Service Center is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2011-2023),Total Classroom Teachers Trends Over Years (2008-2011),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2010-2011),American Indian Student Percentage Comparison Over Years (2010-2012),Hispanic Student Percentage Comparison Over Years (2011-2023),Black Student Percentage Comparison Over Years (2013-2023),White Student Percentage Comparison Over Years (2011-2023),Diversity Score Comparison Over Years (2011-2023),Free Lunch Eligibility Comparison Over Years (2011-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2010-2015),Reading and Language Arts Proficiency Comparison Over Years (2013-2017),Math Proficiency Comparison Over Years (2013-2017),Overall School Rank Trends Over Years (2013-2017)

Pakistan CallCenter-IVR Banking Transactions: Volume: Utilities Bill Payments data was reported at 0.006 Unit mn in Dec 2019. This records a decrease from the previous number of 0.009 Unit mn for Sep 2019. Pakistan CallCenter-IVR Banking Transactions: Volume: Utilities Bill Payments data is updated quarterly, averaging 0.018 Unit mn from Sep 2016 (Median) to Dec 2019, with 14 observations. The data reached an all-time high of 0.028 Unit mn in Sep 2017 and a record low of 0.006 Unit mn in Dec 2019. Pakistan CallCenter-IVR Banking Transactions: Volume: Utilities Bill Payments data remains active status in CEIC and is reported by State Bank of Pakistan. The data is categorized under Global Database’s Pakistan – Table PK.KA017: Payment System Statistics: Transactions. [COVID-19-IMPACT]

This dataset represents the 311 call for service requests which includes service request types and status.