99 datasets found
  1. Actions shoppers took in response to poor customer service in the U.S. 2024

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Actions shoppers took in response to poor customer service in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1479115/shoppers-response-to-poor-customer-service-usa/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2024
    Area covered
    United States
    Description

    According to a survey conducted in March 2024 among online shoppers, ** percent of consumers in the United States had stopped shopping with a brand they received poor customer service from, while ** percent of them had written a bad review online. Meanwhile, about ** percent had shared their experience on social media.

  2. UK: leading reasons for preferring excellent service even if it costs more...

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). UK: leading reasons for preferring excellent service even if it costs more 2024 [Dataset]. https://www.statista.com/statistics/1291791/reasons-for-preferring-excellent-service-uk/
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    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2024
    Area covered
    United Kingdom
    Description

    According to the results of a recent survey, about ******* of the customers in the United Kingdom (UK) stated that they would pay more to get excellent service because they trust the company they use. A further ** percent of the British customers said that they prefer getting excellent service even if it cost more, they feel happier knowing they have the support and advice.

  3. American customer satisfaction index: apparel companies 2023-2024

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). American customer satisfaction index: apparel companies 2023-2024 [Dataset]. https://www.statista.com/statistics/831624/customer-satisfaction-with-us-apparel-companies/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This graph depicts the American customer satisfaction index scores for apparel companies in the United States from 2023 to 2024. Levi Strauss had the highest rating in both of these years. The index score is based on a ***-point scale.

  4. Europe Call Center Outsourcing Market Analysis - Size and Forecast 2025-2029...

    • technavio.com
    pdf
    Updated Jan 7, 2025
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    Technavio (2025). Europe Call Center Outsourcing Market Analysis - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/call-center-outsourcing-market-in-europe-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Description

    Snapshot img

    Europe Call Center Outsourcing Market Size 2025-2029

    The Europe call center outsourcing market size is forecast to increase by USD 6.21 billion at a CAGR of 4.6% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increasing adoption of this business model by IT and telecom service providers. This trend is attributed to the cost savings and improved operational efficiency that call center outsourcing offers. Another key trend is the integration of voice bots and artificial intelligence (AI) in call center services, which enhances customer experience and reduces operational costs. Furthermore, there is a noticeable shift towards developing countries as preferred call center destinations due to their large talent pool and lower labor costs. These factors are expected to fuel market growth in the coming years. 
    

    What will be the Size of the Market During the Forecast Period?

    Request Free Sample

    Call center outsourcing has become a significant trend in the business world, enabling companies to focus on their core competencies while external service providers handle support functions. The market encompasses various sectors, including email and chat support, voice services, and specialized expertise in areas such as government and defense, healthcare, IT and telecommunications, manufacturing, and more. The demand for call center services continues to grow, driven by the increasing importance of customer service and the need for multilingual support. Inbound call centers handle customer inquiries and support requests, while outbound call centers focus on telemarketing, order placements, and customer surveys.
    
    
    
    Furthermore, artificial intelligence and data analytics have revolutionized the call center industry, enabling the automation of routine tasks and providing specialized expertise for technical debugging. Omnichannel support is another key trend, allowing customers to interact with businesses through multiple channels, including voice, email, and chat. The market caters to diverse industries, each with unique requirements. For instance, government and defense organizations demand high security and language proficiency, while healthcare providers require expertise in medical terminology and compliance with regulations. In the IT and telecommunications sector, call centers play a crucial role in providing technical support and troubleshooting.
    

    How is this market segmented and which is the largest segment?

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

    Type
    
      Inbound
      Outbound
    
    
    End-user
    
      IT and telecom
      BFSI
      Healthcare
      Retail
      Others
    
    
    Geography
    
      Europe
    
        Germany
        UK
        France
    

    By Type Insights

    The inbound segment is estimated to witness significant growth during the forecast period.
    

    Inbound call centers have gained significant importance in today's business landscape, with companies prioritizing exceptional customer service to enhance brand image. These centers focus on addressing customer concerns, answering queries, and handling complaints, often being the only point of contact for many customers. Providing polite, knowledgeable, and efficient support is crucial, as it boosts customer loyalty, improves service quality, increases operational efficiency, and offers cost-effective solutions.

    Furthermore, the inbound call segment caters to various industries, including travel and e-commerce, and supports multilingual and omnichannel customer engagement through technical debugging, instant messaging platforms, AI-based chatbots, messaging apps, and social media. Organizations can leverage these services to provide seamless and timely assistance, ultimately contributing to a positive customer experience.

    Get a glance at the market report of share of various segments Request Free Sample

    Market Dynamics

    Our market researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

    What are the key market drivers leading to the rise in adoption of Europe Call Center Outsourcing Market?

    An increase in call center outsourcing by IT and telecom service providers is the key driver of the market.

    Telecom companies outsource customer support functions, including email and chat, to external service providers to focus on their core technical objectives. This strategy allows telecom companies to manage cost pressures, optimize investments, and gain access to specialized resources. Emerging technologies, such as Artificial Intelligence (AI) and Data analytics, play a significant role in enhancing the productivity of call center operations. AI
    
  5. F

    Consumer Price Index for All Urban Consumers: Energy Services in West - Size...

    • fred.stlouisfed.org
    json
    Updated Jan 15, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Energy Services in West - Size Class A [Dataset]. https://fred.stlouisfed.org/series/CUUSA400SEHF
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    jsonAvailable download formats
    Dataset updated
    Jan 15, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Energy Services in West - Size Class A (CUUSA400SEHF) from H1 1984 to H2 2024 about west, energy, urban, consumer, services, CPI, inflation, price index, indexes, price, and USA.

  6. R

    Russia CPI: Same Mth PY=100: Services: Tourism Services: River Cruise in the...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Russia CPI: Same Mth PY=100: Services: Tourism Services: River Cruise in the Territory of Russia [Dataset]. https://www.ceicdata.com/en/russia/consumer-price-index-same-month-previous-year100-services/cpi-same-mth-py100-services-tourism-services-river-cruise-in-the-territory-of-russia
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    Russia
    Variables measured
    Consumer Prices
    Description

    Consumer Price Index (CPI): Same Mth PY=100: Services: Tourism Services: River Cruise in the Territory of Russia data was reported at 105.630 Same Mth PY=100 in Mar 2025. This records a decrease from the previous number of 106.720 Same Mth PY=100 for Feb 2025. Consumer Price Index (CPI): Same Mth PY=100: Services: Tourism Services: River Cruise in the Territory of Russia data is updated monthly, averaging 107.620 Same Mth PY=100 from Jan 2023 (Median) to Mar 2025, with 27 observations. The data reached an all-time high of 112.180 Same Mth PY=100 in Mar 2023 and a record low of 100.980 Same Mth PY=100 in Mar 2024. Consumer Price Index (CPI): Same Mth PY=100: Services: Tourism Services: River Cruise in the Territory of Russia data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA016: Consumer Price Index: Same Month Previous Year=100: Services.

  7. F

    Consumer Price Index for All Urban Consumers: Utility (Piped) Gas Service in...

    • fred.stlouisfed.org
    json
    Updated Jan 15, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Utility (Piped) Gas Service in South - Size Class A [Dataset]. https://fred.stlouisfed.org/series/CUUSA300SEHF02
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 15, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Utility (Piped) Gas Service in South - Size Class A (CUUSA300SEHF02) from H1 1984 to H2 2024 about south, utilities, gas, urban, consumer, services, CPI, inflation, price index, indexes, price, and USA.

  8. C

    China CN: Consumer Price Index: Household Facility, Article & Service:...

    • ceicdata.com
    Updated Oct 22, 2021
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    CEICdata.com (2021). China CN: Consumer Price Index: Household Facility, Article & Service: Zhejiang: Ningbo [Dataset]. https://www.ceicdata.com/en/china/consumer-price-index-prefecture-level-city-household-facility-article--service/cn-consumer-price-index-household-facility-article--service-zhejiang-ningbo
    Explore at:
    Dataset updated
    Oct 22, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2016 - Dec 1, 2024
    Area covered
    China
    Description

    Consumer Price Index (CPI): Household Facility, Article & Service: Zhejiang: Ningbo data was reported at 100.000 Prev Year=100 in 2024. This stayed constant from the previous number of 100.000 Prev Year=100 for 2023. Consumer Price Index (CPI): Household Facility, Article & Service: Zhejiang: Ningbo data is updated yearly, averaging 101.000 Prev Year=100 from Dec 2016 (Median) to 2024, with 9 observations. The data reached an all-time high of 103.000 Prev Year=100 in 2019 and a record low of 100.000 Prev Year=100 in 2024. Consumer Price Index (CPI): Household Facility, Article & Service: Zhejiang: Ningbo data remains active status in CEIC and is reported by Ningbo Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IAC: Consumer Price Index: Prefecture Level City: Household Facility, Article & Service.

  9. D

    Customer Intent Prediction Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 1, 2025
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    The citation is currently not available for this dataset.
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Customer Intent Prediction Market Outlook



    According to our latest research, the global Customer Intent Prediction market size reached USD 2.63 billion in 2024, driven by rapid digital transformation and the increasing adoption of AI-powered analytics across industries. The market is exhibiting robust growth, with a recorded CAGR of 25.8% from 2025 to 2033. By 2033, the market is forecasted to reach USD 19.9 billion, reflecting a significant expansion as organizations prioritize personalized customer experiences and data-driven decision-making. This impressive growth is primarily fueled by the proliferation of omnichannel retail, advancements in machine learning technologies, and the rising demand for actionable insights into customer behavior.




    One of the most significant growth factors for the Customer Intent Prediction market is the increasing need for businesses to enhance customer engagement and satisfaction. As customer journeys become more complex across multiple digital touchpoints, organizations are seeking sophisticated solutions to predict and respond to customer needs in real time. AI-powered intent prediction tools enable companies to anticipate customer actions, personalize offerings, and improve overall conversion rates. This trend is particularly prominent in sectors such as e-commerce, BFSI, and telecommunications, where understanding intent can directly impact revenue and customer loyalty. The integration of natural language processing and deep learning algorithms further enhances the accuracy and reliability of these solutions, making them indispensable for forward-thinking enterprises.




    Another key driver propelling the Customer Intent Prediction market is the exponential growth of data generated by customer interactions across digital platforms. With the widespread adoption of mobile devices, social media, and IoT, organizations are inundated with vast volumes of structured and unstructured data. Harnessing this data to derive actionable insights requires advanced analytics platforms capable of real-time processing and predictive modeling. The demand for scalable and flexible solutions has led to increased investment in cloud-based intent prediction platforms, enabling businesses to scale operations efficiently and reduce infrastructure costs. Additionally, regulatory initiatives around data privacy and security are prompting companies to adopt compliant and robust intent prediction solutions, further boosting market growth.




    The evolution of customer experience strategies is also a crucial factor driving the Customer Intent Prediction market. As competition intensifies across industries, businesses are leveraging intent prediction to differentiate themselves by delivering hyper-personalized experiences. This approach not only improves customer satisfaction but also optimizes marketing spend and enhances operational efficiency. The growing emphasis on customer-centricity is evident in sectors like healthcare and travel, where timely and relevant engagement can significantly influence outcomes. Moreover, the integration of intent prediction with CRM, marketing automation, and customer support systems is streamlining workflows and enabling seamless omnichannel experiences, solidifying its role as a strategic imperative for modern enterprises.




    From a regional perspective, North America continues to dominate the Customer Intent Prediction market, accounting for the largest share due to the early adoption of advanced analytics and the presence of major technology providers. However, Asia Pacific is emerging as the fastest-growing region, fueled by rapid digitization, rising internet penetration, and increasing investments in AI-driven customer engagement solutions. Europe also holds a substantial market share, driven by stringent data protection regulations and a strong focus on customer experience management. The Middle East & Africa and Latin America are witnessing steady growth as businesses in these regions recognize the value of predictive analytics in enhancing customer relationships and driving business outcomes.



    Component Analysis



    The Component segment of the Customer Intent Prediction market is broadly categorized into Software and Services. Software solutions remain the cornerstone of this segment, accounting for the largest market share in 2024. These platforms leverage advanced artificial intelligence, machine learning, and natural language

  10. Immigration system statistics, year ending September 2024

    • gov.uk
    Updated Nov 28, 2024
    + more versions
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    Home Office (2024). Immigration system statistics, year ending September 2024 [Dataset]. https://www.gov.uk/government/statistics/immigration-system-statistics-year-ending-september-2024
    Explore at:
    Dataset updated
    Nov 28, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    This release presents immigration statistics from Home Office administrative sources, covering the period up to the end of September 2024. It includes data on the topics of:

    • passenger arrivals and visitors
    • work
    • study
    • family
    • safe and legal routes
    • irregular migration
    • asylum claims
    • granted asylum
    • total cases in the asylum system
    • settlement or citizenship
    • EU Settlement Scheme
    • detention or returns

    Further information

    User guide to Home Office Immigration statistics
    Policy and legislative changes affecting migration to the UK: timeline
    Developments in migration statistics
    Publishing detailed datasets in Immigration statistics
    Migration analysis at the Home Office collection page

    A range of key input and impact indicators are currently published by the Home Office on the Migration transparency data webpage.

    If you have feedback or questions, our email address is MigrationStatsEnquiries@homeoffice.gov.uk.

  11. System Integration Services Market Analysis North America - Size and...

    • technavio.com
    pdf
    Updated Jul 12, 2024
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    Technavio (2024). System Integration Services Market Analysis North America - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/north-america-system-integration-services-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jul 12, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2024 - 2028
    Description

    Snapshot img

    North America System Integration Services Market Size 2024-2028

    The North America system integration services market size is forecast to increase by USD 46 billion at a CAGR of 6.5% between 2023 and 2028. The market is experiencing significant growth due to the increasing need for enhanced business process efficiency. The adoption of cloud-based integration solutions, such as Google Cloud, is on the rise as businesses seek to streamline operations and improve data integration. Interoperability concerns continue to be a major challenge, particularly in industries like IT and telecom, defense and security, oil and gas, healthcare, transportation, retail, food and beverages, automotive, and more. To address these challenges, system integrators are leveraging advanced technologies like AI and IoT to deliver data-driven insights and improve overall system performance. In the retail sector, for instance, AI-powered integration solutions are being used to analyze customer data and personalize shopping experiences. Similarly, in the automotive industry, IoT-enabled integration is enabling real-time vehicle monitoring and predictive maintenance.

    Request Free Sample

    The market is experiencing significant growth, driven by the increasing adoption of digital transformations and IoT technologies across various industries. IT and telecom, defense and security, oil and gas, healthcare, transportation, retail, food and beverages, automotive, and banking are some sectors witnessing substantial investments in system integration services. Google Cloud, a leading cloud services provider, is playing a crucial role in this growth by offering expert IT infrastructure services, including system integration, hardware, software, and network resources. These services enable businesses to seamlessly integrate new software applications and cloud-based services into their existing IT infrastructure.

    Furthermore, the integration of AI and IoT technologies is further fueling the demand for system integration services. In industries such as defense, marine systems, telecommunication, aviation, and others, the need for digital infrastructure solutions is increasing to enhance operational efficiency, ensure security, and improve customer experience. System integrators are essential partners in these digital transformations, helping businesses navigate complex IT landscapes and ensuring successful implementations. The market is poised for continued growth, offering numerous opportunities for IT professionals and computer-related occupations.

    Market Segmentation

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Service Type
    
      Infrastructure integration services
      System integration consulting services
      ALM and application integration services
    
    
    End-user
    
      BFSI
      Government
      Telecom
      Retail
      Others
    
    
    Geography
    
      North America
    
        Canada
        Mexico
        US
    

    By Service Type Insights

    The infrastructure integration services segment is estimated to witness significant growth during the forecast period. In today's digital landscape, North American businesses are investing heavily in advanced IT solutions to keep pace with the rapidly evolving technological landscape. Legacy infrastructure poses a significant challenge in delivering high-quality services, especially when it comes to deploying modern applications. To address this issue, system integration services have gained prominence, enabling seamless linking of sub-systems with smart devices for efficient data access within and outside enterprises. These services play a crucial role in ensuring operational excellence and business continuity by facilitating data connectivity, process orchestration, and infrastructure integration. Furthermore, the adoption of predictive modeling, AI-driven insights, and automation necessitates the need for system integration to ensure seamless data flow between applications.

    Furthermore, security audits and access controls are essential components of system integration services, ensuring data privacy and security. Edge computing and hardware integration are also becoming increasingly important, as organizations look to leverage data from IoT devices and other edge sources. Consulting services are often required to optimize the integration process and ensure that businesses fully realize the benefits of their IT investments. In summary, system integration services are a vital component of digital transformation initiatives, enabling businesses to effectively manage their complex IT landscapes and drive operational efficiency.

    Get a glance at the market share of various segments Request Free Sample

    The infrastructure integration services segment accounted for USD 48.10 billion in 2018 and showed a gradu

  12. National Statistics UPRN Lookup (July 2024) (Epoch 111) User Guide - Dataset...

    • ckan.publishing.service.gov.uk
    Updated Aug 10, 2024
    + more versions
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    ckan.publishing.service.gov.uk (2024). National Statistics UPRN Lookup (July 2024) (Epoch 111) User Guide - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/national-statistics-uprn-lookup-july-2024-epoch-111-user-guide
    Explore at:
    Dataset updated
    Aug 10, 2024
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    This User Guide contains information about the NSUL including: directory content; data currency; the methodology for assigning areas to postcodes; data formats; data quality and limitations and details of recent changes that have impacted on the data. Various annexes and tables provide more detailed supporting information. The download includes PDF and ODT versions of the user guide. (File size - 365 KB)

  13. Information Technology (IT) Training Market Analysis, Size, and Forecast...

    • technavio.com
    pdf
    Updated Jan 7, 2025
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    Technavio (2025). Information Technology (IT) Training Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, UK), APAC (Australia, China, India, Japan), South America (Brazil), and Middle East and Africa (UAE) [Dataset]. https://www.technavio.com/report/it-training-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    United Kingdom, United States
    Description

    Snapshot img

    Information Technology (IT) Training Market Size 2025-2029

    The information technology (it) training market size is forecast to increase by USD 13.23 billion, at a CAGR of 6.8% between 2024 and 2029.

    The market is experiencing significant growth and transformation, driven by the increasing adoption of advanced technologies such as artificial intelligence, machine learning, and cloud computing. These innovations are revolutionizing the way businesses operate and learn, creating a surge in demand for IT training services. Additionally, the popularity of blended learning, which combines traditional classroom instruction with online learning, is gaining traction as it offers flexibility and cost savings. Furthermore, Massive Open Online Courses (MOOCs) are increasingly being utilized to provide accessible and affordable IT training to a large number of learners. However, the market faces challenges including the need for continuous skill development due to the rapid pace of technological change and the high cost of IT training, which can be a barrier for small and medium-sized enterprises. To capitalize on market opportunities, companies should focus on offering flexible, affordable, and customized IT training solutions that cater to the evolving needs of businesses and individuals. Additionally, partnerships with educational institutions and technology providers can help companies stay ahead of the curve and offer cutting-edge training programs. Navigating these challenges and leveraging market trends will be key for companies seeking to succeed in the dynamic and growing IT Training Market.

    What will be the Size of the Information Technology (IT) Training 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 SampleIn the dynamic and ever-evolving the market, entities provide a range of offerings to address the continuous skills development needs of organizations and individuals. These entities offer seamlessly integrated solutions, encompassing talent development, e-learning platforms, video tutorials, curriculum development, community forums, technical training, assessment tools, social learning, learning objectives, simulation training, training delivery methods, and technical support. The IT training landscape is characterized by the unfolding of market activities and evolving patterns. For instance, mobile learning has gained prominence, enabling learners to access training materials on-the-go. Instructor-led training continues to be a popular choice, while e-learning authoring tools and instructional design facilitate the creation of customized training content. Knowledge management systems and customer service training are essential for businesses seeking to enhance their operational efficiency and customer experience. Virtual classrooms and customer support offer real-time interaction between learners and trainers, fostering a collaborative learning environment. Training evaluation and certification programs ensure the effectiveness and standardization of IT training initiatives. Performance support tools, sales training, and support services cater to the ongoing learning needs of employees. Boot camps and multimedia content provide immersive learning experiences, while collaboration tools and project management training foster teamwork and productivity. Software training, content creation, and data analytics training equip learners with the necessary skills to leverage emerging technologies. Cloud computing training, knowledge sharing, and training materials enable organizations to access and disseminate IT knowledge effectively. Interactive content, live streaming, leadership training, blended learning, cybersecurity training, self-paced learning, and agile methodologies are some of the other IT training trends shaping the market. The IT training market is a vibrant and continuously evolving ecosystem, with entities continually innovating to meet the evolving learning needs of their clients.

    How is this Information Technology (IT) Training Industry segmented?

    The information technology (it) training 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. ServiceInfrastructureDevelopmentDatabaseSecurityOthersEnd-userCorporateSchools and collegesAcademic InstittionsOthersDelivery MethodOnline/E-learningClassroom/Instructor-ledBlended LearningOrganization SizeSmall EnterprisesMedium EnterprisesLarge EnterprisesGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKMiddle East and AfricaUAEAPACAustraliaChinaIndiaJapanSouth AmericaBrazilRest of World (ROW)

    By Service Insights

    The infrastructure segment is estimated to witness significant growth during the

  14. r

    City of Parramatta Railway 3D May 2024

    • researchdata.edu.au
    • data.nsw.gov.au
    Updated May 28, 2025
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    data.nsw.gov.au (2025). City of Parramatta Railway 3D May 2024 [Dataset]. https://researchdata.edu.au/city-parramatta-railway-may-2024/3574395
    Explore at:
    Dataset updated
    May 28, 2025
    Dataset provided by
    data.nsw.gov.au
    Area covered
    City of Parramatta Council, Parramatta
    Description

    Access API

    Metadata Portal Metadata Information

    Content TitleCity of Parramatta Railway 3D May 2024
    Content TypeScene Layer/Scene Layer Package
    DescriptionNSW Transport Theme Railway represents a permanent way of having one or more rail lines which provide tracks for vehicles. A railway can be heavy rails, light rail, monorail and heavy rail siding, for example a railway, tramway or monorail.
    Initial Publication Date01/05/2024
    Data Currency01/05/2024
    Data Update FrequencyOther
    Content SourceData provider files
    File TypeScene Layer Package (*.slpk)
    Attribution
    Data Theme, Classification or Relationship to other DatasetsTransport Theme of the NSW Foundation Spatial Data Framework
    AccuracyThe dataset maintains a positional relationship to, and alignment with, the Lot and Property digital datasets. The Lot and Property data was captured by digitising the best available cadastral mapping at a variety of scales and accuracies, ranging from 1:500 to 1:250 000 according to the National Mapping Council of Australia, Standards of Map Accuracy (1975). Therefore, the position of the feature instance will be within 0.5mm at the map scale for 90% of the well-defined points. That is 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m, 1:25000 = 12.5m, 1:50000 = 25m and 1:00000 = 50m. A program of positional upgrade (accuracy improvement) is currently underway. Feature heights have been derived from LiDAR elevation sources including 1m and 2m DEMS. The data used to create the DEMs have an accuracy of 0.3m (95% Confidence Interval) vertical and 0.8m (95% Confidence Interval) horizontal. The features vertical accuracy is also a function of its horizon.
    Spatial Reference System (dataset)WGS84
    Spatial Reference System (web service)EPSG:4326
    WGS84 Equivalent ToGDA2020
    Spatial Extent
    Content Lineage
    Data ClassificationUnclassified
    Data Access PolicyOpen
    Data Quality
    Terms and ConditionsCreative Commons
    Standard and Specification
    Data CustodianSpatial Services | Department of Customer Services
    Point of ContactSS-SDS@customerservice.nsw.gov.au
    Data AggregatorSpatial Services | Department of Customer Services
    Data DistributorSpatial Services | Department of Customer Services
    Additional Supporting InformationOpen Geospatial Consortium (OGC) implemented and compatible for the consumption by common GIS platforms. Available as either cache or non-cache, depending on client use or requirement.
    TRIM Number

  15. Global Financial Data Services Market Size By Service Type, By End-User, By...

    • verifiedmarketresearch.com
    Updated Sep 5, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Financial Data Services Market Size By Service Type, By End-User, By Deployment Mode, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/financial-data-services-market/
    Explore at:
    Dataset updated
    Sep 5, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Financial Data Services Market size was valued at USD 23.3 Billion in 2023 and is projected to reach USD 42.6 Billion by 2031, growing at a CAGR of 8.1% during the forecast period 2024-2031.Global Financial Data Services Market DriversThe market drivers for the Financial Data Services Market can be influenced by various factors. These may include:The need for real-time analytics is growing: Real-time analytics are becoming more and more necessary in the financial sector due to the acceleration of data consumption. To reduce risks, make wise decisions, and enhance customer service, organizations need quick insights. Stakeholders are giving priority to solutions that enable quick data processing and analysis due to the increase in market volatility and complexity. The need for sophisticated analytical skills is driving providers of financial data services to modernize their products. As companies come to realize that using real-time data is crucial for keeping a competitive edge in a fast-paced financial climate, the competition among them to provide timely insights also boosts market growth.Growing Machine Learning and AI Adoption: Data analysis has been profoundly changed by the incorporation of AI and machine learning technology into financial data services. By enabling predictive analytics, these technologies help financial organizations make better decisions and reduce risk. Businesses can find trends that were previously invisible by automating data processing operations. This leads to more precise forecasts and improved investment plans. Furthermore, sophisticated algorithms are flexible enough to adjust to shifting circumstances, keeping organizations flexible. The increasing intricacy of financial markets necessitates the use of AI and machine learning, which in turn drives demand for sophisticated financial data services and promotes innovation in the sector.Global Financial Data Services Market RestraintsSeveral factors can act as restraints or challenges for the Financial Data Services Market. These may include:Difficulties in Regulatory Compliance: Regulations controlling data management, privacy, and financial transactions place heavy restrictions on the financial data services market. Regulations like the GDPR, CCPA, and banking industry standards like Basel III and SOX must all be complied with by organizations. Complying with these requirements frequently necessitates a significant investment in staff and compliance systems, which can be taxing, especially for smaller businesses. Regulations are dynamic, and different locations have different needs, which adds to the complexity and expense. Noncompliance not only results in monetary fines but also has the potential to harm an entity's image, so impeding market expansion.Dangers to Data Security: Threats to data security are a major impediment to the financial data services market. Because they manage sensitive data, financial institutions are often the targets of cyberattacks. Breach can lead to significant monetary losses, legal repercussions, and long-term harm to one's image. Although they can greatly increase operating expenses, investments in strong security measures like encryption, safe access protocols, and continual monitoring are crucial. Moreover, the dynamic strategies employed by cybercriminals need continuous adjustment, placing a burden on resources and detracting from the main operations of businesses. The evolution of security threats poses a challenge to preserving consumer trust, hence impeding industry expansion.

  16. F

    Consumer Price Index for All Urban Consumers: Services less medical care...

    • fred.stlouisfed.org
    json
    Updated Jan 15, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Services less medical care services in Tampa-St. Petersburg-Clearwater, FL (CBSA) [Dataset]. https://fred.stlouisfed.org/series/CUUSA321SASL5
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 15, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Tampa-St. Petersburg Metropolitan Area, Florida
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Services less medical care services in Tampa-St. Petersburg-Clearwater, FL (CBSA) (CUUSA321SASL5) from 1987 to 2024 about Tampa, medical, FL, urban, consumer, services, CPI, inflation, price index, indexes, price, and USA.

  17. d

    MTA Subway Service Delivered: 2020-2024

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    Updated May 3, 2025
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    data.ny.gov (2025). MTA Subway Service Delivered: 2020-2024 [Dataset]. https://catalog.data.gov/dataset/mta-subway-service-delivered-beginning-2020
    Explore at:
    Dataset updated
    May 3, 2025
    Dataset provided by
    data.ny.gov
    Description

    Service Delivered measures the percentage of scheduled trains that are actually provided during peak hours on weekdays (7 AM to 10 AM and 4 PM to 7 PM) and weekends (10 AM to 6 PM) for a given month.

  18. Z

    Field Service Management Market By Solution (Work Order Management,...

    • zionmarketresearch.com
    pdf
    Updated Sep 24, 2025
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    Zion Market Research (2025). Field Service Management Market By Solution (Work Order Management, Inventory Management, Customer Management, Mobile Field Service Management, Schedule, Dispatch, & Route Optimization, Billing, Invoicing, & Mobile Payments, And Others), By Deployment Mode (On-Premises And Cloud), By Verticals (BFSI, Manufacturing, Telecom & IT, Retail, Transportation & Logistics, Healthcare And Others), And By Region - Global And Regional Industry Overview, Market Intelligence, Comprehensive Analysis, Historical Data, And Forecasts 2024-2032 [Dataset]. https://www.zionmarketresearch.com/report/field-service-management-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Sep 24, 2025
    Dataset authored and provided by
    Zion Market Research
    License

    https://www.zionmarketresearch.com/privacy-policyhttps://www.zionmarketresearch.com/privacy-policy

    Time period covered
    2022 - 2030
    Area covered
    Global
    Description

    The global field service management market size was valued USD 4.31 billion in 2023 and is expected to rise to USD 11.77 billion by 2032 at a CAGR of 11.80%.

  19. Artificial Intelligence (AI) Market In The Telecommunication Industry...

    • technavio.com
    pdf
    Updated Oct 10, 2024
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    Technavio (2024). Artificial Intelligence (AI) Market In The Telecommunication Industry Analysis North America, Europe, APAC, South America, Middle East and Africa - US, China, UK, Canada, Germany - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/artificial-intelligence-market-in-the-telecommunication-industry-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Oct 10, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2024 - 2028
    Area covered
    United States
    Description

    Snapshot img

    Artificial Intelligence (AI) in the Telecommunication Market Size 2024-2028

    The artificial intelligence (ai) in the telecommunication industry market size is forecast to increase by USD 38.05 billion at a CAGR of 66.2% between 2023 and 2028.

    in the telecommunications industry, the adoption of artificial intelligence (AI) is becoming increasingly prevalent due to several key factors. The surging demand for autonomous-driven network solutions is a major growth driver, as ai enables networks to self-heal and optimize performance in real-time. Furthermore, substantial investments in 5G network infrastructure are fueling the integration of ai to enhance network efficiency and capacity. However, challenges persist, including the high cost of implementing ai and the poor availability of skilled workforce to manage and maintain these advanced systems. Despite these hurdles, the potential benefits of ai in telecommunications, such as improved customer experience and network reliability, make it a worthwhile investment for industry players.
    

    What will be the Size of the AI in the Telecommunication Industry Market During the Forecast Period?

    Request Free Sample

    The artificial intelligence (AI) market in the telecommunications industry is experiencing significant growth, driven by the increasing adoption of ai technologies to enhance network efficiency, optimize operations, and improve customer experience. Big data analytics, robotics, and generative ai tools are key areas of focus, with ai algorithms and machine learning techniques, such as natural language processing and computer vision, playing a crucial role. The availability and quality of digital data are essential for the effective implementation of ai solutions. Edge ai and ai as a Service (SaaS) products are gaining popularity, with ai platform companies offering licensing options for customized solutions.
    Autonomous ai and advanced algorithms, including deep learning techniques, are pushing the boundaries of what is possible in telecommunications. The integration of ai with quantum computers and supercomputers is expected to further accelerate innovation in this space. Overall, the ai market in telecommunications is a dynamic and innovative sector, poised for continued growth and transformation.
    

    How is this AI in the Telecommunication Industry segmented and which is the largest segment?

    The AI in the telecommunication industry industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Component
    
      Solutions
      Services
    
    
    Deployment
    
      On-premises
      Cloud
    
    
    Geography
    
      North America
    
        Canada
        US
    
    
      Europe
    
        Germany
        UK
    
    
      APAC
    
        China
    
    
      South America
    
    
    
      Middle East and Africa
    

    By Component Insights

    The solutions segment is estimated to witness significant growth during the forecast period. Artificial Intelligence (ai) is revolutionizing the telecommunication industry by automating manual processes and delivering superior results. ai platforms, installed on enterprise premises, offer cognitive functions such as learning, reasoning, problem-solving, social intelligence, and general intelligence. These platforms enable telecom companies to automate tasks using machine vision and speech recognition applications. ai solutions include software tools and platforms, with ai platforms being the architecture that powers cognitive functions. The primary benefit of ai in telecommunications is resource and time savings, as it automates processes and delivers better results than manual methods. Big data analytics, robotics, generative ai tools, ai art generators, and various ai techniques such as natural language processing, computer vision, and machine learning are integral to ai platforms.

    Ethical and regulatory concerns surrounding ai are being addressed by technological innovators, ensuring transparency and privacy. ai is transforming industries like healthcare, food and beverages, finance, and more, with tech giants leading the digitalization charge. ai applications are also being used in customer service, sales and marketing, supply chain management, human resource management, finance and accounting, cybersecurity, and legal and compliance. Edge ai and ai as a Service (SaaS) products are gaining popularity, along with customizable ai and ai marketplaces. ai is driving automation in call centers, chatbots, and virtual assistants, making customer service more efficient and effective.

    Get a glance at the market report of various segments Request Free Sample

    The Solutions segment was valued at USD 420.10 billion in 2018 and showed a gradual increase during the forecast period.

    Regional Analysis

    North America is estimated to contribute 39% to the growth of the global market d

  20. C

    China CN: Consumer Price Index: MoM: Household Facility, Article & Service:...

    • ceicdata.com
    Updated Jan 4, 2025
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    CEICdata.com (2025). China CN: Consumer Price Index: MoM: Household Facility, Article & Service: 36 City: Qingdao [Dataset]. https://www.ceicdata.com/en/china/consumer-price-index-36-city-previous-month100/cn-consumer-price-index-mom-household-facility-article--service-36-city-qingdao
    Explore at:
    Dataset updated
    Jan 4, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    China
    Description

    Consumer Price Index (CPI): MoM: Household Facility, Article & Service: 36 City: Qingdao data was reported at 99.700 Prev Mth=100 in Jan 2025. This records a decrease from the previous number of 100.400 Prev Mth=100 for Dec 2024. Consumer Price Index (CPI): MoM: Household Facility, Article & Service: 36 City: Qingdao data is updated monthly, averaging 100.000 Prev Mth=100 from Jan 2016 (Median) to Jan 2025, with 109 observations. The data reached an all-time high of 101.300 Prev Mth=100 in Jan 2024 and a record low of 98.900 Prev Mth=100 in Nov 2020. Consumer Price Index (CPI): MoM: Household Facility, Article & Service: 36 City: Qingdao data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IA: Consumer Price Index: 36 City: Previous Month=100.

Share
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Close
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Statista (2025). Actions shoppers took in response to poor customer service in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1479115/shoppers-response-to-poor-customer-service-usa/
Organization logo

Actions shoppers took in response to poor customer service in the U.S. 2024

Explore at:
Dataset updated
Jun 25, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Mar 2024
Area covered
United States
Description

According to a survey conducted in March 2024 among online shoppers, ** percent of consumers in the United States had stopped shopping with a brand they received poor customer service from, while ** percent of them had written a bad review online. Meanwhile, about ** percent had shared their experience on social media.

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