In 2019, almost all Hungarian webshops provided customer service by e-mail,and ** percent of them offered it by phone. Only **** percent of webstores used chatbots to communicate with their customers.

Around ** percent of U.S.-based consumers state that they have used chatbots to engage with the retail industry. Whether used as tools during the shopping process or as stand-in customer service representatives, chatbots have begun to play an important role in the retail industry. As more and more of the industry moves onto online platforms, chatbots allow for high scalability and assist retailers in collecting info and strengthening user experience.

In recent years, it has become increasingly important to the consumer to read up on a product, business, or service before spending any money. In 2021, nearly ** percent of online shoppers typically read between *** and *** customer reviews before making a purchasing decision. Less than *** in *** shoppers did not have a habit of reading customer reviews before buying.

In 2020, the cloud and dedicated infrastructure segment of the market accounted for almost ** percent of spending. Over the forecast period, a general trend of enterprises spending more on cloud and shared infrastructure at the expense of non-cloud and dedicated portion of the market is predicted. Rise of cloud affects consumption models for hardware and software By 2025, the non-cloud and dedicated segment of the market is projected to decrease to around ** percent of spending. This is due to the increase of the utility computing model in which computing services and infrastructure management are made available to the customer as needed. This model propagates the notion that several aspects of enterprise IT, including applications and network, can be consumed as a service. Due to its cost-effectiveness and innovative properties, organizations continue to shift to this model as opposed to traditional host computing. Cloud and shared forecast to grow continuously The cloud and shared architecture, which can be considered the public cloud, is expected to reach almost ** percent of spending by 2025. Public cloud usage becomes more common as cloud security matures and organizations become more acquainted with its benefits, including better scalability, faster time of deployment, and cost savings. Accordingly, the public cloud services market size is forecast to amount to almost *** billion U.S. dollars in 2021.

Russia Avg Consumer Price: Services: Car Repair: Wheels Balance data was reported at 1,063.450 RUB in Jan 2019. This records an increase from the previous number of 1,043.610 RUB for Dec 2018. Russia Avg Consumer Price: Services: Car Repair: Wheels Balance data is updated monthly, averaging 700.350 RUB from Jan 2004 (Median) to Jan 2019, with 181 observations. The data reached an all-time high of 1,063.450 RUB in Jan 2019 and a record low of 266.300 RUB in Jan 2004. Russia Avg Consumer Price: Services: Car Repair: Wheels Balance data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PA017: Average Consumer Price: Household Services.

The dataset collection at hand comprises a set of related data tables, sourced from the 'Tilastokeskus' (Statistics Finland) website in Finland. The contents of these tables are derived from the Statistical Service Interface (WFS), as described by the data source. As a collection, these tables form a comprehensive and interconnected group of data, providing a detailed and extensive statistical overview. The data is arranged in a tabular format, with rows and columns for easy interpretation and analysis. This dataset is licensed under CC BY 4.0 (Creative Commons Attribution 4.0, https://creativecommons.org/licenses/by/4.0/deed.fi).

Avg Consumer Price: Services: CF: Male Trousers Repair data was reported at 277.670 RUB in Jan 2019. This records an increase from the previous number of 277.210 RUB for Dec 2018. Avg Consumer Price: Services: CF: Male Trousers Repair data is updated monthly, averaging 104.300 RUB from Jan 1995 (Median) to Jan 2019, with 289 observations. The data reached an all-time high of 277.670 RUB in Jan 2019 and a record low of 5.250 RUB in Jan 1995. Avg Consumer Price: Services: CF: Male Trousers Repair data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PA017: Average Consumer Price: Household Services.

Additional Platform Time (APT) is the estimated average extra time that customers spend waiting on the platform for a train, compared with their scheduled wait time.

Additional Train Time (ATT) is the estimated average extra time that customers spend onboard a train, compared to the time they would have spent onboard a train if trains were running according to schedule.

Additional Journey Time (AJT) is the estimated average extra time that customers spend on their journey, compared with the scheduled time. It is the sum of the additional time spent waiting on platforms (APT) and the additional time spent onboard a train (ATT).

Journey Time is the average total time a customer spends on their journey waiting for and riding a specific train line.

Customer Journey Time Performance (CJTP) is the estimated percentage of rider trips that are completed within 5 minutes of their scheduled time.

These measures are estimated for each individual train a customer uses in their journey, also known as an unlinked trip, not all trains in their journey combined.

This dataset covers data between 2015 and 2019. For data from 2020 on, use dataset https://data.ny.gov/Transportation/MTA-Subway-Customer-Journey-Focused-Metrics-Beginn/4apg-4kt9.

Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Race for the U.S.: 2019.Table ID.ABSCS2019.AB00MYCSA01C.Survey/Program.Economic Surveys.Year.2019.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2021-10-28.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2017 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Race White Black or African American American Indian and Alaska Native Asian Native Hawaiian and Other Pacific Islander Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White) Equally minority/nonminority Nonminority (Firms classified as non-Hispanic and White) Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2019 BERD sample, or have high receipts, payroll, or employment. Total sample size is 300,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2017 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY21-289).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business' data or identity.To comply with data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see Annual Business Survey Methodology..Table Information.FTP Download.https://www2.census.gov/programs-surveys/abs/data/2019/.API Information.Annual Business Survey (ABS) data ...

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Call Center Outsourcing Market Size 2025-2029

The call center outsourcing market size is forecast to increase by USD 26.3 billion, at a CAGR of 4.3% between 2024 and 2029.

The market is experiencing significant shifts, driven by the emergence of new destinations in emerging economies and the increasing trend of mergers and acquisitions among companies. These developments offer both opportunities and challenges for market participants. Emerging countries, such as India, the Philippines, and Eastern European nations, are becoming increasingly popular call center destinations due to their large, English-speaking workforces and cost advantages. This trend is expected to continue, as companies seek to reduce costs and improve operational efficiency. However, the increasing cost of call center outsourcing services poses a challenge for businesses. Companies are facing rising labor costs, particularly in traditional outsourcing destinations like India, and are passing these costs onto their clients.
Additionally, the complexity of managing multicompany environments and ensuring data security is becoming more challenging as companies outsource to multiple companies. To capitalize on opportunities and navigate challenges effectively, companies should focus on building strategic partnerships with companies and exploring new outsourcing destinations. They should also invest in technology solutions to streamline operations and improve customer experience. By staying informed of market trends and adapting to changing market dynamics, companies can effectively leverage call center outsourcing to achieve operational efficiency and cost savings.

What will be the Size of the Call Center Outsourcing Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, shaped by dynamic market conditions and diverse applications across various sectors. Speech recognition technology enhances customer interactions, while recruitment and hiring processes adapt to the growing demand for work-from-home agents. Call center security remains a top priority, with advanced measures ensuring data privacy and compliance with regulations. Agent retention strategies are refined through continuous training and performance management, integrating reporting and dashboards, quality assurance, and predictive analytics. Virtual call centers expand operations, offering scalability and capacity, while multi-site call centers leverage business intelligence for improved performance metrics. Disaster recovery plans and network connectivity ensure business continuity, as call center infrastructure adapts to the demands of onshore, nearshore, and offshore outsourcing.

Call monitoring and agent training are crucial components of ongoing improvement, with hardware and software solutions enhancing overall efficiency. Predictive analytics and data visualization provide valuable insights, enabling proactive decision-making and enhancing customer satisfaction. Call routing optimizes operations, and compliance regulations guide the industry's evolution, shaping the call center landscape.

How is this Call Center Outsourcing Industry segmented?

The call center outsourcing industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  IT and telecom
  BFSI
  Healthcare
  Retail
  Others


Type

  Technical Support Services
  Customer Support Services
  Telemarketing Services
  Others


Deployment

  Onshore Outsourcing
  Offshore Outsourcing
  Nearshore Outsourcing


Organization Size

  Small and Medium Enterprises (SMEs)
  Large Enterprises


Geography

  North America

    US
    Canada


  Europe

    Germany
    Italy
    Poland
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Philippines
    Vietnam


  South America

    Argentina
    Brazil


  Rest of World (ROW)

.

By End-user Insights

The it and telecom segment is estimated to witness significant growth during the forecast period.

The market is witnessing significant growth, particularly in the IT and telecom sectors. Technological advancements and the increasing demand for digital communication and content are driving this expansion. The telecom services industry is poised for steady growth with the emergence of 5G technology. Numerous telecom companies are investing in 5G infrastructure worldwide, with estimates suggesting there will be over 3.6 billion 5G connections by 2025. Call recording, agent performance management, reporting and dashboards, quality assurance, nearshore and onshore outsourcing, agent trainin

Mexico Consumer Price Index (CPI): Baja California: Health & Personal Care data was reported at 100.564 16Jul2018-31Jul2018=100 in May 2019. This records an increase from the previous number of 100.311 16Jul2018-31Jul2018=100 for Apr 2019. Mexico Consumer Price Index (CPI): Baja California: Health & Personal Care data is updated monthly, averaging 100.328 16Jul2018-31Jul2018=100 from Aug 2018 (Median) to May 2019, with 10 observations. The data reached an all-time high of 101.099 16Jul2018-31Jul2018=100 in Nov 2018 and a record low of 99.960 16Jul2018-31Jul2018=100 in Jan 2019. Mexico Consumer Price Index (CPI): Baja California: Health & Personal Care data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.I020: Consumer Price Index: by State: Second Half July 2018=100.

Consumer adoption of fintech companies and products has grown rapidly worldwide between 2015 and 2019. As of 2019, ** percent of consumers globally have adopted some form of money transfer and/or payment service. Insurance (insurtech) adoption has seen a significant growth from * percent in 2015 to almost ** percent in 2019. Fintech revolution continues Financial technology, better known as fintech, is the application of technology in the financial services industry to offer digitally enhanced products in the areas of digital payments, alternative financing, alternative lending, and personal finance. Globally, the number of companies operating under the category of fintech has substantially increased not only in North America but also in EMEA and APAC. Fintech investments continue to rise With the continued digitalization of the finance industry and the adoption of fintech products from both the industry itself but also consumers, it is unsurprising that the value and volume of investment into the sector has grown continuously since 2010. The value of investment into fintech companies worldwide in 2019 was more than double that seen in 2017.

The share of clients paying for dental services from their own funds in Poland increased from ** to ** percent in the period from the first quarter of 2018 to the first quarter of 2019.

Global Big Data in E-Commerce is segmented by Application (Retail, marketing, finance, logistics, customer service) , Type (Data analytics, consumer behavior analysis, predictive analytics, machine learning, recommendation engines) and Geography(North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

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Convenience Stores Market Size 2025-2029

The convenience stores market size is forecast to increase by USD 1036.9 billion, at a CAGR of 7.1% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing demand for convenient food products. Consumers' preferences are shifting towards quick and easy meal solutions, leading to a surge in demand for ready-to-eat and ready-to-heat food items. Another trend shaping the market is the rise of private-label brands, which are gaining popularity due to their affordability and perceived quality. However, the market faces challenges as well. The increasing trend towards online retailing and e-commerce is changing buying behavior, with more consumers opting for home delivery and curbside pick-up options. This shift is forcing convenience stores to adapt and find ways to compete effectively in this new landscape. Additionally, the growing focus on health and wellness is leading to increased demand for healthier food options, presenting both an opportunity and a challenge for convenience stores to offer more nutritious choices while maintaining profitability. To capitalize on market opportunities and navigate challenges effectively, convenience store operators must stay agile and responsive to changing consumer preferences and trends.

What will be the Size of the Convenience Stores Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, driven by dynamic market dynamics and shifting consumer behaviors. Automated retail solutions, such as inventory tracking and demand planning, enable retailers to optimize stock levels and reduce out-of-stocks. Customer loyalty programs and community engagement initiatives foster repeat business and strengthen brand affinity. Employee training and target marketing strategies ensure high-quality customer service and effective product placement. Hygiene standards and food safety regulations are paramount in maintaining trust and meeting health regulations. Impulse purchases, fuel retailing, and grocery sales remain key revenue streams, with mobile payments and delivery services enhancing the shopping experience. Franchise models and self-checkout kiosks streamline operations and reduce labor costs. Pricing strategies, energy efficiency, and data analytics play crucial roles in maximizing profitability. Local sourcing and category management cater to diverse consumer preferences and promote sustainability. Inventory management, store design, and private label products differentiate offerings from national brands. Hygiene standards, food handling, and loss prevention measures ensure operational efficiency and maintain customer trust. Product placement, online ordering, and RFID technology facilitate seamless shopping experiences. Smart shelves, shelf life management, and point-of-sale (POS) systems optimize stock levels and reduce waste. Waste management and supply chain optimization minimize environmental impact and enhance operational efficiency. Automated checkout and shopping habits analysis provide valuable insights for retailers to adapt and thrive in this continuously evolving market.

How is this Convenience Stores Industry segmented?

The convenience stores industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. OwnershipIndependent retailerRetail chainTypeTraditional convenience storeMini convenience storeHyper convenience storeExpanded convenience storeKiosksProduct OfferingFood and BeveragesTobacco Products Everyday Convenience ItemsOver-the-Counter Drugs OthersLocationUrbanSub-UrbanGeographyNorth AmericaUSMexicoEuropeFranceGermanyItalyUKMiddle East and AfricaUAEAPACAustraliaChinaIndiaJapanSouth KoreaSouth AmericaBrazilRest of World (ROW)

By Ownership Insights

The independent retailer segment is estimated to witness significant growth during the forecast period.Independent retailers, encompassing convenience stores, gas stations, and grocery outlets, continue to evolve in response to shifting consumer preferences and technological advancements. These businesses, which sell goods produced by other companies and are privately owned, offer unique value propositions. Smaller independent retailers specialize in niche product categories, such as vinyl records or photography supplies, often catering to specific consumer segments. Larger independent retailers maintain a broader product range, providing a platform for smaller brands and unique offerings. Consumer behavior shapes the convenience store market, with an increasing demand for fresh food products driving segment growth. This trend is furth

This service offers Esri's Retail MarketPlace database for the United States which measures retail market supply and demand. The data is modeled from the Census of Retail Trade by the US Census Bureau, Infogroup business data, and statistics from the US Bureau of Labor Statistics.

All attributes are available at all geography levels: country, state, county, tract, block group, ZIP code, place, county subdivision, congressional district, core-based statistical area (CBSA), and designated market area (DMA).

Over 2,300 attributes measuring likely demand for a wide variety of products and services in retail categories including food and drink, automotive, electronics, appliances, health, and personal care. The database provides a direct comparison between retail sales and consumer spending by industry and measures the gap between supply and demand.

To view ArcGIS Online items using this service, including the terms of use, visit http://goto.arcgisonline.com/demographics9/USA_Retail_Marketplace_2019.