Customer Experience In The Technology Industry Statistics

GITNUXREPORT 2026

Customer Experience In The Technology Industry Statistics

By 2025, generative AI and automation are poised to reshape technology customer support, with Gartner forecasting AI use in 85% of customer service organizations and costs cut by up to 30%. At the same time, a single bad experience pushes 58% of B2B buyers to a competitor and slow mobile load times still erase conversions, creating a hard deadline for teams to deliver fast, consistent service across every channel.

29 statistics29 sources7 sections6 min readUpdated 8 days ago

Key Statistics

Statistic 1

In Microsoft’s 2023 research, 93% of support agents reported improvements in productivity using Copilot for Service

Statistic 2

25% of service organizations use AI for knowledge management to improve customer experience (Salesforce State of Service 2023)

Statistic 3

Gartner predicts that by 2025, 80% of customer service and support operations will shift to automation and AI-enabled experiences

Statistic 4

58% of B2B buyers say they will shift their business to a competitor after just one bad experience

Statistic 5

73% of consumers expect a consistent experience across multiple channels

Statistic 6

68% of customers say customer service is more important than marketing for building loyalty

Statistic 7

47% of consumers expect a webpage to load in 2 seconds or less

Statistic 8

Google reports that 53% of mobile site visits are abandoned if pages take longer than 3 seconds to load

Statistic 9

78% of customers expect real-time customer service responses (i.e., immediate or near-immediate)

Statistic 10

47% of consumers expect a response within an hour for customer service inquiries

Statistic 11

1.06% conversion rate for mobile sites with 1-second load time versus 0.55% for 5-second load time

Statistic 12

Worldwide IT spending is projected to grow 6.8% in 2024 to $5.06 trillion (Gartner IT spending forecast released Oct 3, 2024)

Statistic 13

Gartner predicts 80% of customer service and support organizations will use generative AI by 2026

Statistic 14

Gartner estimates that by 2025, 85% of customer service organizations will use AI to improve productivity

Statistic 15

Gartner forecasts the CRM application software market to reach $104.0B in 2025

Statistic 16

$5.13 billion in 2023 is the estimated size of the global chatbot market, projected to grow to $13.63 billion by 2028

Statistic 17

$10.2 billion of global spending on customer experience software in 2024, projected to reach $18.2 billion by 2029

Statistic 18

$1.2 trillion is the projected cumulative value of generative AI to enterprise by 2023–2028

Statistic 19

44% of customer service leaders expect AI to be the primary driver of customer experience improvements over the next 12 months

Statistic 20

IBM reports the average cost of a data breach for companies with highly effective incident response is $2.34 million less than those with less effective response

Statistic 21

Optimizely reports that a 1-second delay in page load can reduce conversions by 20%

Statistic 22

Gartner estimates that customer service via AI can reduce customer service costs by up to 30% by 2025 (AI customer service cost impact)

Statistic 23

Freshworks’ 2023 global customer support report finds 41% of customers contact support more frequently when self-service doesn’t work (cost drivers through increased tickets)

Statistic 24

ServiceNow reports that automation can reduce average cost per case by 30% in service operations (automation case studies summary)

Statistic 25

Up to 40% of customer support costs can be avoided through self-service improvements

Statistic 26

4.52 billion estimated mobile gamers worldwide in 2024, with the number expected to grow to 4.64 billion in 2025

Statistic 27

61% of organizations say they are using AI in at least one area of customer service

Statistic 28

82% of consumers say they have ended a relationship with a brand due to poor customer service

Statistic 29

96% of consumers say they are more likely to use a business again after a positive customer experience

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Data aggregated from peer-reviewed journals, government agencies, and professional bodies with disclosed methodology and sample sizes.

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Statistics that fail independent corroboration are excluded.

A single slow moment can cost real revenue in tech. With Optimizely finding that a 1 second delay can cut conversions by 20% and Google reporting 53% of mobile visits are abandoned when pages take longer than 3 seconds, speed is no longer just an IT concern. At the same time, customer expectations are shifting just as fast, from real time service responses to loyalty breaking after one bad experience, and the statistics below show where technology teams are winning and where they are falling behind.

Key Takeaways

  • In Microsoft’s 2023 research, 93% of support agents reported improvements in productivity using Copilot for Service
  • 25% of service organizations use AI for knowledge management to improve customer experience (Salesforce State of Service 2023)
  • Gartner predicts that by 2025, 80% of customer service and support operations will shift to automation and AI-enabled experiences
  • 58% of B2B buyers say they will shift their business to a competitor after just one bad experience
  • 73% of consumers expect a consistent experience across multiple channels
  • 68% of customers say customer service is more important than marketing for building loyalty
  • 47% of consumers expect a webpage to load in 2 seconds or less
  • Google reports that 53% of mobile site visits are abandoned if pages take longer than 3 seconds to load
  • 78% of customers expect real-time customer service responses (i.e., immediate or near-immediate)
  • Worldwide IT spending is projected to grow 6.8% in 2024 to $5.06 trillion (Gartner IT spending forecast released Oct 3, 2024)
  • Gartner predicts 80% of customer service and support organizations will use generative AI by 2026
  • Gartner estimates that by 2025, 85% of customer service organizations will use AI to improve productivity
  • IBM reports the average cost of a data breach for companies with highly effective incident response is $2.34 million less than those with less effective response
  • Optimizely reports that a 1-second delay in page load can reduce conversions by 20%
  • Gartner estimates that customer service via AI can reduce customer service costs by up to 30% by 2025 (AI customer service cost impact)

Tech customers expect instant, consistent service, and AI and faster experiences are quickly becoming essential.

Customer Adoption

1In Microsoft’s 2023 research, 93% of support agents reported improvements in productivity using Copilot for Service[1]
Verified
225% of service organizations use AI for knowledge management to improve customer experience (Salesforce State of Service 2023)[2]
Verified
3Gartner predicts that by 2025, 80% of customer service and support operations will shift to automation and AI-enabled experiences[3]
Verified

Customer Adoption Interpretation

For customer adoption in technology, the momentum is clear as 93% of support agents report better productivity with Copilot for Service and Gartner expects 80% of service and support operations to shift to automation and AI-enabled experiences by 2025.

Customer Outcomes

158% of B2B buyers say they will shift their business to a competitor after just one bad experience[4]
Single source
273% of consumers expect a consistent experience across multiple channels[5]
Verified
368% of customers say customer service is more important than marketing for building loyalty[6]
Single source

Customer Outcomes Interpretation

From a customer outcomes perspective, the takeaway is that 58% of B2B buyers will take their business to a competitor after a single bad experience, making consistent, high-quality service the decisive factor in retention.

Performance Metrics

147% of consumers expect a webpage to load in 2 seconds or less[7]
Verified
2Google reports that 53% of mobile site visits are abandoned if pages take longer than 3 seconds to load[8]
Directional
378% of customers expect real-time customer service responses (i.e., immediate or near-immediate)[9]
Verified
447% of consumers expect a response within an hour for customer service inquiries[10]
Verified
51.06% conversion rate for mobile sites with 1-second load time versus 0.55% for 5-second load time[11]
Verified

Performance Metrics Interpretation

For technology brands, performance is a make or break experience since 47% of consumers expect pages to load in 2 seconds or less and mobile visits jump from a 0.55% conversion rate at 5 seconds to 1.06% at 1 second.

Cost Analysis

1IBM reports the average cost of a data breach for companies with highly effective incident response is $2.34 million less than those with less effective response[20]
Directional
2Optimizely reports that a 1-second delay in page load can reduce conversions by 20%[21]
Verified
3Gartner estimates that customer service via AI can reduce customer service costs by up to 30% by 2025 (AI customer service cost impact)[22]
Directional
4Freshworks’ 2023 global customer support report finds 41% of customers contact support more frequently when self-service doesn’t work (cost drivers through increased tickets)[23]
Single source
5ServiceNow reports that automation can reduce average cost per case by 30% in service operations (automation case studies summary)[24]
Verified
6Up to 40% of customer support costs can be avoided through self-service improvements[25]
Verified

Cost Analysis Interpretation

Cost Analysis shows that technology companies can meaningfully cut customer experience expenses by investing in faster, smoother digital experiences and smarter service automation, since a 1 second page-load delay can cut conversions by 20% and automation can lower average cost per service case by 30% while improved self-service may help avoid up to 40% of support costs.

User Adoption

14.52 billion estimated mobile gamers worldwide in 2024, with the number expected to grow to 4.64 billion in 2025[26]
Verified
261% of organizations say they are using AI in at least one area of customer service[27]
Verified

User Adoption Interpretation

User adoption in technology customer experience is being driven by a massive and growing mobile gaming base, rising from 4.52 billion gamers worldwide in 2024 to a projected 4.64 billion in 2025, alongside 61% of organizations already using AI in customer service to meet that expanding demand.

Customer Sentiment

182% of consumers say they have ended a relationship with a brand due to poor customer service[28]
Verified
296% of consumers say they are more likely to use a business again after a positive customer experience[29]
Verified

Customer Sentiment Interpretation

For customer sentiment in the technology industry, poor customer service drives churn with 82% of consumers ending a relationship with a brand, while 96% say they are more likely to return after a positive experience.

How We Rate Confidence

Models

Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.

Single source
ChatGPTClaudeGeminiPerplexity

Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.

AI consensus: 1 of 4 models agree

Directional
ChatGPTClaudeGeminiPerplexity

Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.

AI consensus: 2–3 of 4 models broadly agree

Verified
ChatGPTClaudeGeminiPerplexity

All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.

AI consensus: 4 of 4 models fully agree

Models

Cite This Report

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APA
Sophie Moreland. (2026, February 13). Customer Experience In The Technology Industry Statistics. Gitnux. https://gitnux.org/customer-experience-in-the-technology-industry-statistics
MLA
Sophie Moreland. "Customer Experience In The Technology Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/customer-experience-in-the-technology-industry-statistics.
Chicago
Sophie Moreland. 2026. "Customer Experience In The Technology Industry Statistics." Gitnux. https://gitnux.org/customer-experience-in-the-technology-industry-statistics.

References

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salesforce.comsalesforce.com
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gartner.comgartner.com
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forrester.comforrester.com
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thinkwithgoogle.comthinkwithgoogle.com
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grandviewresearch.comgrandviewresearch.com
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marketsandmarkets.commarketsandmarkets.com
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mckinsey.commckinsey.com
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optimizely.comoptimizely.com
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freshworks.comfreshworks.com
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servicenow.comservicenow.com
  • 24servicenow.com/content/dam/common/en_us/documents/solutions/customer-service/servicenow-cost-of-service-benchmark.pdf
statista.comstatista.com
  • 26statista.com/statistics/617136/number-of-mobile-gamers-worldwide/
g2.comg2.com
  • 27g2.com/articles/ai-customer-service-statistics
superoffice.comsuperoffice.com
  • 28superoffice.com/blog/customer-service-statistics/
helpscout.comhelpscout.com
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