The Customer Experience Analytics Market was valued at USD 12.43 billion in 2023 and is expected to reach USD 42.29 billion by 2032, growing at a CAGR of 14.61% over the forecast period 2024-2032.
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The market for Customer Experience Analytics (CEA) will grow due to the increasing focus on customer satisfaction and loyalty in a very competitive business environment. Organizations in all sectors acknowledge the significance of having insights into customer behavior, preferences, and frustrations to provide tailored experiences. The proliferation of digital platforms has created a trove of customer data. With these advancements, businesses are using sophisticated analytical tools including AI and machine learning for actionable data. Such insights facilitate process efficiencies, optimized touch-points, and proactive action based on customer expectations, ultimately driving retention and revenue. By 2024, 72% of customers expect a response in an hour, and more than 50% will take their business to a competitor after a negative experience. Also, 86% of buyers will pay more for a better customer experience and 49% of customers make an impulse purchase after receiving a personalized experience. Conversational AI has proved to be vital as well as cost-efficient, which is also apparent from the 80% of executives who reported an increase in customer satisfaction after integrating conversational AI.
Moreover, the increasing popularity of omnichannel strategies has further boosted the demand for enhanced customer analytics solutions. Many companies are looking to integrate data across different touchpoints websites, social media, call centers, mobile apps, etc. to provide a single view of the customer journey. Similarly, analytics tools for better customer engagement during times of crisis while sustaining data privacy due to regulatory compliance, especially in sectors like BFSI and healthcare, have borne investments. In addition, the increasing adoption of cloud-based solutions resulting in the availability of analytics tools to small and medium enterprises is fueling market growth as well. The companies using omnichannel in 2024 grew 10% year on year and saw 10% higher average order values and 25% higher close rates. Here are the top three communication preferences for service requests 60% of customers prefer email, 58% prefer phone, and 48% prefer webchat. Third, the transition to the cloud for customer service is also accelerating, with 34% of organizations having fully moved to cloud contact centers or functioning as cloud-native.
Key Drivers:
Data-driven decision-making Powers Growth in Customer Experience Analytics Boosting Revenue and Efficiency
Growth of the Customer Experience Analytics (CEA) Market is Driven by Data-driven Decision Making by Enterprises Across Industries With businesses accumulating massive amounts of data from every customer interaction, they are in greater need of analytics solutions that can analyze those datasets. They are employing sophisticated, even predictive, data analytics to identify trends, etc. on sentiment, or opportunities for improvement, in real-time. It empowers businesses to respond in advance to customer needs, fix issues on the spot, and provide a much more personalized experience. With organizations trying to create a niche in saturated markets, the ability to use customer data to further the decision-making process has become immensely important. It also results in better profits, customer satisfaction, and operational efficiency which has also been one of the important drivers responsible for the growth of the market. Companies using data analytics saw revenue growth 8% higher and cost savings 10% higher in 2024. Some other highlights include 86% of customers will pay more for a great experience and an 80% revenue jump for companies focused on customer experience.
AI and ML Drive Revolution in Customer Experience Analytics Enhancing Sales Engagement and Operational Efficiency
Technology advancements in artificial intelligence (AI) and machine learning (ML) are changing the game in CEA. Level 4 – Automated Customer Analytics with AI and ML The application of AI and ML technologies in customer experience platforms is showing its place, as it provides an opportunity for businesses to automate the analysis of customer data to derive deeper insights into customer behavior. Subject Redefining Customer Experience with AI Virtual Assistant Technologies AI Technologies allows real-time predictive analytics, sentiment analysis, and personalized recommendations to help businesses create highly relevant and contextually appropriate customer experiences. With the evolution of AI-powered analytics tools, companies can take advantage of them to make better decisions, improve customer journeys, and strengthen customer service capabilities. With the rising usage of AI and ML and an increasing need for reliant and smart solutions, the demand for customer experience analytics market offers them to be on a smooth trajectory. Online holiday sales reached $282 billion in 2024, rising nearly 4% year-on-year driven by AI-optimized shopping experiences. AI chatbots also experienced a 42% growth in consumer engagement and 80% of marketers globally adopted chatbots, with 40% quoting a better customer experience as a major reason. Additionally, 29% of the global IT professionals registered time savings and operational efficiency using AI and automation tools.
Restrains:
The lack of integration of the analytics tools with the existing systems is a major restraint in the Customer Experience Analytics (CEA) market. Most organizations are littered with legacy infrastructure or inconsistent platforms that prevent a holistic view and system from consolidating and analyzing customer data from numerous touchpoints. Such a lack of smooth integration can make analytics solutions less effective and also increase the time-to-market. As data breaches become more prevalent and with more stringent data privacy laws like GDPR and CCPA coming into force, organizations need to take care about where they get and how they manage personal customer data. This provides new degrees of difficulty for companies trying to gather and process data, as they have to both drive value from the people they work with and be compliant. Furthermore, there is also a lack of skilled personnel to manage advanced analytics tools and visualize and interpret results, which can be particularly problematic for small and medium-sized companies that may not have relevant expertise at their disposal.
By Touch Point
In 2023, call centers accounted for the highest share of 39.8% in the Customer Experience Analytics market and this is primarily due to the fact that call centers serve as the main channel for customer interaction. Call centers are still the first point of contact in assisting organizations to resolve customer problems, answering queries, and providing support in various sectors like BFSI, healthcare, and retail. Customer interactions yield a significant amount of structured and unstructured data, such as call recordings, sentiment analysis, and feedback, all of which are a treasure trove of analytics. Call centers have become the backbone of organizations, which are investing heavily to get data-driven insights out of the heaps of data coming out of call center activities, to get more out of the agent capabilities, improve customer satisfaction, predict future trends, and other stuff. In a customer-centric market, emphasizing strengthening customer engagement, and behavioral preference towards brand loyalty call centers will always remain a boon due to their capability of real-time and personalized support.
The web segment is forecast to achieve the highest CAGR between 2024 – 2032, and this is attributed to changing customer behavior towards online components in tandem with digital transformation. With corporate websites and e-commerce platforms expanding their digital footprint, more customer data is being created by web analytics, user behavior tracking, and clickstream data every minute. Advanced Web Analytics tools not only help businesses understand their users better and know their needs but for a more competitive nature, also make you improve digital touchpoints and personalize them, ever-evolving. In addition, the increasing number of mobile devices and the introduction of omnichannel approaches make web analytics even more significant. With the need to better understand the online customer journey in real time and the ability to stitch these insights into comprehensive customer experience strategies, the web segment will be a high-growth segment over the next few years.
By Solution
In 2023, social media analytical tools dominated the market and accounted for 43.8% market share which indicates the importance of social media in creating a customer experience. Social media platforms in particular (think Facebook, Instagram, Twitter, and LinkedIn) have become an essential way for businesses to connect with their customers, market their brand, and receive immediate feedback in real-time. Social media activities such as posts, comments, likes, and shares generate massive amounts of unstructured data, offering useful insights into customer sentiment, preferences, and changing trends. Companies take advantage of social media analytical tools transferring this medium for the perception of their brand, campaign effectiveness, and customer engagement. It comes with features of real-time insights and supported targeted marketing strategies, which justifies these tools to dominate the market.
The Data Management segment is predicted to experience the highest CAGR during 2024-2032, owing to the rising demand for centralized and efficient data processing. As companies implement omnichannel formats, capturing and managing data from multiple touchpoints like social media, call centers, web, and face-to-face interactions becomes essential. Sophisticated data management solutions help companies aggregate, cleanse, and structure large data into actionable formats. These tools enable seamless integration with analytics platforms for richer customer intelligence and better decision-making. Moreover, the growth of artificial intelligence (AI) and machine learning(ML) technologies depends largely on well-organized and accessible data which increases the need for more robust data management architectures. As businesses continue to prioritize having a unified view of the customer, we expect data management to serve as a backbone of customer experience strategies, driving rapid growth in the process.
By Industry Vertical
The Banking, Financial Services, and Insurance (BFSI) sector had the highest market share of 35.7% in 2023 in the customer experience analytics market due to the growing need of the sector to adopt customer-centric behaviors to meet the high competition in providing personalized and efficient customer service. The BFSI sector is always under pressure to deliver better customer experience, quicker service delivery time, and remain compliant with very high regulatory standards. In such a situation, customer experience analytics offers banks, insurance companies, and other financial service providers the ability to understand customer behavior, predict needs, and provide personalized services. The sector utilizes analytics in managing customer interaction through multiple touchpoints like online banking, mobile apps, call centers, and physical branches, which adds to its substantial market share. Additionally, the increasing shift towards digital banking and well-established fintech solutions have highlighted the importance of data-driven insights, further solidifying the standing of BFSI.
The manufacturing sector is expected to grow at the highest CAGR between 2024-2032, owing to the rising adoption of Industry 4.0 technologies along with increasing digital transformation initiatives. With more manufacturers opting for smart factory solutions and adopting IoT and automation, the amount of customer and operational data is growing at lightning speed. Insights gained from customer feedback, product performance, and post-sales service are assisting manufacturers with product quality, supply chain efficiency, and customer service efficiency through customer experience analytics. Moreover, with manufacturing companies pursuing D2C and going more digital, the requirement for analytics tools to analyze customer experiences is increasing. Increased focus on customer-centricity along with a growing shift towards data-driven decision-making are supporting manufacturing as one of the rapidly growing sectors in the customer experience analytics market.
North America is expected to continue to account for the largest share of the Customer Experience Analytics market, i.e. 41.1% in 2023, owing to advancement in technology infrastructure, increased digitalization, and rapid adoption of customer-centric business models in the region. Some of the biggest companies from the region in BFSI, retail, technology, etc. rely on customer experience analytics to maintain their competitive edge, An example of this is Amazon which leverages its customer data to provide high levels of personalization through recommendations and to optimize their supply chain for high customer satisfaction. Furthermore, Bank of America enhanced its mobile banking app and optimized customer interactions using customer experience analytics supported by AI-driven insights.
Asia Pacific is estimated to have the highest CAGR between 2024 and 2032 due to high digitalization, greater acceptance of e-commerce, and an increasing middle class as seen in China, India, and Japan. The region is undergoing a transition towards omnichannel strategies, resulting in higher adoption of customer experience analytics tools to remain competitive in a digitally connected world. An example of applying Artificial intelligence would be Alibaba, which uses big data analytics through all its e-commerce platforms to follow consumer trends, optimize marketing, and improve the customer experience. Likewise, Indian HDFC Bank is using analytics to know its customers, design operations, and tailor services to their needs, which is helping it to expand rapidly in the financial sector. The growing adoption of an AI and machine-learning foundation and technologies drives the growth of customer experience analytics in the Asia Pacific, especially in China and India.
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Some of the major players in the Customer Experience Analytics Market are:
Alteryx (Alteryx Designer, Alteryx Server)
SAS (SAS Viya, SAS Customer Intelligence)
Qlik (Qlik Sense, QlikView)
Splunk (Splunk Enterprise, Splunk Cloud)
Teradata (Teradata Vantage, Teradata IntelliCloud)
MicroStrategy (MicroStrategy Analytics, MicroStrategy Cloud)
Domo (Domo Business Cloud, Domo Data Science)
Sisense (Sisense Fusion, Sisense for Cloud Data Teams)
ThoughtSpot (ThoughtSpot Analytics, ThoughtSpot Cloud)
Tableau (Tableau Desktop, Tableau Server)
Microsoft Power BI (Power BI Desktop, Power BI Pro)
Salesforce (Salesforce Service Cloud, Salesforce Marketing Cloud)
Zendesk (Zendesk Support, Zendesk Chat)
HubSpot (HubSpot Service Hub, HubSpot Marketing Hub)
Freshworks (Freshdesk, Freshchat)
Zoho (Zoho Analytics, Zoho CRM)
Oracle (Oracle CX Cloud, Oracle Service Cloud)
Adobe (Adobe Experience Cloud, Adobe Analytics)
IBM (IBM Watson Analytics, IBM Customer Experience Analytics)
SAP (SAP Customer Experience, SAP Analytics Cloud)
Some of the Raw Material Suppliers for companies:
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud Platform (GCP)
IBM Cloud
Oracle Cloud
Dell Technologies
Hewlett Packard Enterprise (HPE)
Cisco Systems
Intel Corporation
NVIDIA Corporation
In July 2024, Alteryx unveiled major updates to its AI Platform for Enterprise Analytics, including new generative AI tools and enhanced features for data preparation, reporting, and cloud execution. The updates aim to streamline analytics workflows, boost efficiency, and support advanced AI-driven insights across industries.
In February 2024, SAS partnered with Carahsoft to provide advanced analytics, AI, and data management solutions to U.S. government agencies. This collaboration aims to enhance data-driven decision-making and innovation across the public sector.
In August 2024, Splunk launched a GenAI summary feature on its search platforms, delivering quick, contextual overviews of relevant information. This enhancement allows users to access key insights faster, improving search efficiency on Splunk.com and docs.splunk.com.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | USD 12.43 Billion |
| Market Size by 2032 | USD 42.29 Billion |
| CAGR | CAGR of 14.61% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Touch Point (Company Website, Branch, Call Center, Web) • By Solution (Data Management, Social Media Analytical Tools, Voice Of Customer, Web Analytical Tools, Dashboard & Reporting) • By Industry Vertical (BFSI, Healthcare, Manufacturing, IT Communication Service Provider, Travel & Hospitality) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | Alteryx, SAS, Qlik, Splunk, Teradata, MicroStrategy, Domo, Sisense, ThoughtSpot, Tableau, Microsoft Power BI, Salesforce, Zendesk, HubSpot, Freshworks, Zoho, Oracle, Adobe, IBM, SAP. |
| Key Drivers | • Data-driven decision-making Powers Growth in Customer Experience Analytics Boosting Revenue and Efficiency • AI and ML Drive Revolution in Customer Experience Analytics Enhancing Sales Engagement and Operational Efficiency |
| RESTRAINTS | • Overcoming Integration Challenges and Data Privacy Issues in Customer Experience Analytics for Business Growth |
Ans: The Customer Experience Analytics Market is expected to grow at a CAGR of 14.61% during 2024-2032.
Ans: Customer Experience Analytics Market size was USD 12.43 billion in 2023 and is expected to Reach USD 42.29 billion by 2032.
Ans: The major growth factor of the Customer Experience Analytics market is the increasing demand for personalized customer experiences driven by data analytics and AI technologies.
Ans: The BFSI segment dominated the Customer Experience Analytics Market in 2023.
Ans: North America dominated the Customer Experience Analytics Market in 2023.
Table of Content
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Customer Experience Analytics Net Promoter Score (2023)
5.2 Customer Experience Analytics Customer Lifetime Value (2023)
5.3 Customer Experience Analytics First Contact Resolution
5.4 Customer Experience Analytics Average Handle Time
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and Supply Chain Strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Customer Experience Analytics Market Segmentation, By Touch Point
7.1 Chapter Overview
7.2 Company Website
7.2.1 Company Website Market Trends Analysis (2020-2032)
7.2.2 Company Website Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Branch
7.3.1 Branch Market Trends Analysis (2020-2032)
7.3.2 Branch Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 Call Center
7.4.1 Call Center Market Trends Analysis (2020-2032)
7.4.2 Call Center Market Size Estimates and Forecasts to 2032 (USD Billion)
7.5 Web
7.5.1 Web Market Trends Analysis (2020-2032)
7.5.2 Web Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Customer Experience Analytics Market Segmentation, By Solution
8.1 Chapter Overview
8.2 Data Management
8.2.1 Data Management Market Trends Analysis (2020-2032)
8.2.2 Data Management Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Social Media Analytical Tools
8.3.1 Social Media Analytical Tools Market Trends Analysis (2020-2032)
8.3.2 Social Media Analytical Tools Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Voice Of Customer
8.4.1 Voice Of Customer Market Trends Analysis (2020-2032)
8.4.2 Voice Of Customer Market Size Estimates and Forecasts to 2032 (USD Billion)
8.5 Web Analytical Tools
8.5.1 Web Analytical Tools Market Trends Analysis (2020-2032)
8.5.2 Web Analytical Tools Market Size Estimates and Forecasts to 2032 (USD Billion)
8.6 Dashboard & Reporting
8.6.1 Dashboard & Reporting Market Trends Analysis (2020-2032)
8.6.2 Dashboard & Reporting Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Customer Experience Analytics Market Segmentation, By Industry Vertical
9.1 Chapter Overview
9.2 BFSI
9.2.1 BFSI Market Trends Analysis (2020-2032)
9.2.2 BFSI Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Healthcare
9.3.1 Healthcare Market Trends Analysis (2020-2032)
9.3.2 Healthcare Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Manufacturing
9.4.1 Manufacturing Market Trends Analysis (2020-2032)
9.4.2 Manufacturing Market Size Estimates and Forecasts to 2032 (USD Billion)
9.5 IT Communication Service Provider
9.5.1 IT Communication Service Provider Market Trends Analysis (2020-2032)
9.5.2 IT Communication Service Provider Market Size Estimates and Forecasts to 2032 (USD Billion)
9.6 Travel & Hospitality
9.6.1 Travel & Hospitality Market Trends Analysis (2020-2032)
9.6.2 Travel & Hospitality Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Customer Experience Analytics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.2.4 North America Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.2.5 North America Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.2.6.2 USA Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.2.6.3 USA Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.2.7.2 Canada Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.2.7.3 Canada Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 Mexico Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.2.8.2 Mexico Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.2.8.3 Mexico Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Customer Experience Analytics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.1.3 Eastern Europe Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.3.1.4 Eastern Europe Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.3.1.5 Eastern Europe Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.3.1.6 Poland
10.3.1.6.1 Poland Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.3.1.6.2 Poland Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.3.1.6.3 Poland Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.3.1.7 Romania
10.3.1.7.1 Romania Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.3.1.7.2 Romania Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.3.1.7.3 Romania Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.3.1.8.2 Hungary Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.3.1.8.3 Hungary Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.3.1.9 Turkey
10.3.1.9.1 Turkey Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.3.1.9.2 Turkey Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.3.1.9.3 Turkey Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.3.1.10.2 Rest of Eastern Europe Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.3.1.10.3 Rest of Eastern Europe Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Customer Experience Analytics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.2.3 Western Europe Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.3.2.4 Western Europe Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.3.2.5 Western Europe Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.3.2.6 Germany
10.3.2.6.1 Germany Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.3.2.6.2 Germany Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.3.2.6.3 Germany Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.3.2.7 France
10.3.2.7.1 France Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.3.2.7.2 France Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.3.2.7.3 France Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.3.2.8 UK
10.3.2.8.1 UK Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.3.2.8.2 UK Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.3.2.8.3 UK Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.3.2.9 Italy
10.3.2.9.1 Italy Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.3.2.9.2 Italy Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.3.2.9.3 Italy Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.3.2.10 Spain
10.3.2.10.1 Spain Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.3.2.10.2 Spain Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.3.2.10.3 Spain Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.3.2.11.2 Netherlands Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.3.2.11.3 Netherlands Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.3.2.12.2 Switzerland Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.3.2.12.3 Switzerland Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.3.2.13 Austria
10.3.2.13.1 Austria Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.3.2.13.2 Austria Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.3.2.13.3 Austria Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.3.2.14.2 Rest of Western Europe Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.3.2.14.3 Rest of Western Europe Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.4 Asia Pacific
10.4.1 Trends Analysis
10.4.2 Asia Pacific Customer Experience Analytics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia Pacific Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.4.4 Asia Pacific Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.4.5 Asia Pacific Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.4.6.2 China Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.4.6.3 China Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.4.7.2 India Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.4.7.3 India Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.4.8.2 Japan Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.4.8.3 Japan Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.4.9.2 South Korea Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.4.9.3 South Korea Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.4.10 Vietnam
10.4.10.1 Vietnam Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.4.10.2 Vietnam Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.4.10.3 Vietnam Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.4.11 Singapore
10.4.11.1 Singapore Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.4.11.2 Singapore Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.4.11.3 Singapore Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.4.12 Australia
10.4.12.1 Australia Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.4.12.2 Australia Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.4.12.3 Australia Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.4.13 Rest of Asia Pacific
10.4.13.1 Rest of Asia Pacific Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia Pacific Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia Pacific Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Customer Experience Analytics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.1.3 Middle East Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.5.1.4 Middle East Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.5.1.5 Middle East Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.5.1.6 UAE
10.5.1.6.1 UAE Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.5.1.6.2 UAE Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.5.1.6.3 UAE Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.5.1.7.2 Egypt Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.5.1.7.3 Egypt Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.5.1.8.2 Saudi Arabia Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.5.1.8.3 Saudi Arabia Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.5.1.9.2 Qatar Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.5.1.9.3 Qatar Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.5.1.10.2 Rest of Middle East Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.5.1.10.3 Rest of Middle East Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Customer Experience Analytics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.2.3 Africa Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.5.2.4 Africa Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.5.2.5 Africa Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.5.2.6.2 South Africa Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.5.2.6.3 South Africa Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.5.2.7.2 Nigeria Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.5.2.7.3 Nigeria Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.5.2.8.2 Rest of Africa Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.5.2.8.3 Rest of Africa Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Customer Experience Analytics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin America Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.6.4 Latin America Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.6.5 Latin America Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.6.6.2 Brazil Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.6.6.3 Brazil Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.6.7.2 Argentina Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.6.7.3 Argentina Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.6.8 Colombia
10.6.8.1 Colombia Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.6.8.2 Colombia Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.6.8.3 Colombia Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America Customer Experience Analytics Market Estimates and Forecasts, By Touch Point (2020-2032) (USD Billion)
10.6.9.2 Rest of Latin America Customer Experience Analytics Market Estimates and Forecasts, By Solution (2020-2032) (USD Billion)
10.6.9.3 Rest of Latin America Customer Experience Analytics Market Estimates and Forecasts, By Industry Vertical (2020-2032) (USD Billion)
11. Company Profiles
11.1 Alteryx
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 SAS
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 Qlik
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 Splunk
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 Teradata
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 MicroStrategy
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 Domo
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 Sisense
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 ThoughtSpot
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 Tableau
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Touch Point
Company Website
Branch
Call Center
Web
By Solution
Data Management
Social Media Analytical Tools
Voice Of Customer
Web Analytical Tools
Dashboard & Reporting
By Industry Vertical
BFSI
Healthcare
Manufacturing
IT Communication Service Provider
Travel & Hospitality
Request for Segment Customization as per your Business Requirement: Segment Customization Request
REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Product Matrix which gives a detailed comparison of the product portfolio of each company
Geographic Analysis
Additional countries in any of the regions
Company Information
Detailed analysis and profiling of additional market players (Up to five)
The Hyperscale Data Center Market, valued at USD 124.30 billion in 2023, is projected to reach USD 957.23 billion by 2032, growing at a robust CAGR of 25.48% of 2024-2032.
Conversational Systems Market was valued at USD 12.19 billion in 2023 and is expected to reach USD 123.79 billion by 2032, growing at a CAGR of 29.44% from 2024-2032.
The Streaming Analytics Market size was valued at USD 22.97 Billion in 2023 and is expected to reach USD 231.35 Billion by 2032, and grow at a CAGR of 29.26 % over the forecast period 2024-2032.
The Customer Experience Analytics Market was valued at USD 12.43 billion in 2023 and will reach USD 42.29 billion by 2032, growing at a CAGR of 14.61% by 2032.
The Geospatial Analytics Market Size was valued at USD 85.5 Billion in 2023 and will reach to USD 260.4 Billion by 2032, growing at a CAGR of 13.2% by 2032.
Progressive Web Apps Market size was USD 1.4 Billion in 2023 and will reach to USD 13.3 Billion by 2032 and grow at a CAGR of 28.6% by 2024-2032.
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