[300 Pages Report] The customer journey analytics software market size was valued at US$ 1.8 Billion in 2021 and is projected to grow at a compound annual growth rate of 13.7% reaching US$ 7.4 Billion by 2032, up from US$ 2.1 Billion in 2022. From 2021 to 2022, the market is anticipated to register a Y-o-Y growth of 16.6%.
In the future, enterprise strategy, digitization, increasing investments, and focusing on data and analytics will become the core elements that define the enterprise strategy.
Attributes | Details |
---|---|
Customer Journey Analytics Software Market CAGR (2022 to 2032) | 13.7% |
Customer Journey Analytics Software Market Size (2022) | US$ 2.1 Billion |
Customer Journey Analytics Software Market Size (2032) | US$ 7.4 Billion |
A growing array of predictive analytics is making it easier to design great customer experiences in industries. As technology progresses and real-time data is readily available, an increase in analytical trends for consumers is observed. In order to make good marketing decisions, the analysis focuses primarily on the market's operations.
With the increased use of customer behavior data analysis, consumer journey analysis is also becoming more in demand in the market.
The pandemic accelerated the growth of the customer journey analytics market as more businesses realized the importance of customer-focused marketing in order to maximize marketing ROI and minimize marketing investments. The current trend is mainly attributed to the increasing number of digital efforts of businesses. These efforts increasingly involve mapping customer journeys and developing digital approaches to servicing customers.
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Advancements in Digitization are expected to drive Market Growth
Data generated by centralized systems have been growing in volume as digitalization progresses. In recent years, the need for real-time data analysis, particularly in regard to e-commerce, has significantly increased. It's imperative that retailers and online merchants are accustomed to monitoring customer journey analytics solutions, as these can be used to monitor the overall customer experience across different channels and help retailers satisfy their customers.
By possessing a metric for measuring customer satisfaction, marketers and business owners are able to make better decisions to grow businesses in the market.
Consistent customer support across the entire customer journey is becoming increasingly crucial for business success. In recent years, businesses have been focusing heavily on creating analytics technologies in order to gain a high-level consumer base. Through traffic analytics and e-commerce analytics, customer journey analytics can be of assistance to these specific industries.
In order to make strategic decisions in an organization, information needs to be converted into digital form, which is expected to further drive the growth of the customer journey analytics market.
Modern techniques and analysis methods that can assist organizations in almost every sector to build stronger relationships with their customers are curtailed by the latest investments and strategies.
Retail and e-commerce businesses are increasingly turning to customer journey analytics solutions in order to stay up to date with the rapidly evolving expectations of customers through multiple channels, in real-time, and to guide them through the entire journey in order to meet their needs as they change.
Personalized Omni channel experiences are of high value to consumers today, but they also demand them in the retail market. Thus, there is a growing trend among retailers to leverage technologies to gain a deeper understanding of consumers' preferences through the use of customer analytics technologies.
Customer analytics has become increasingly important in retail as sales grow. This helps companies develop more personal communication and marketing strategies. Customer loyalty and experience are also enhanced by determining which buyers purchase which products and tailoring marketing to the specific preferences of those buyers.
A number is an important tool in evaluating and managing the efforts of every organization. The existence of complex technology and tools is also expected to hamper the growth of the IoT market in elevators. Customer experience leaders face the most difficult challenge of quantifying the return on investment that is generated by customer experience, but, for brands, it is most crucial to justify the financial results that are generated.
Businesses of all types struggle to link customer behavior to business-critical metrics, including revenue, retention, and customer service costs. A lack of tools and technologies is expected to slow the growth of the market in the near future. A budget for CX is difficult to secure when it is not possible to measure the impact on business outcomes. As a result budgets for CX initiatives in organizations struggling to quantify ROI have stagnated or decreased.
According to experts, security threats will be on the rise in the upcoming years. Security breaches and data loss have increased due to inefficiency in managing massive amounts of data and volumes of data in the market. This will likely hinder the growth of customer journey analytics software in the market.
In addition, a significant increase in data sources has caused several IT departments to have difficulty managing the data. An extensive number of graphical and text-based database files requires a significant amount of time, money, and human resources to analyze.
As a result, customer journey analytics creates issues that affect the optimum return on investment in such analytics. All these factors are likely to hinder the growth of customer journey analytics software in the market.
The market for large enterprises is expected to grow at a significant rate over the forecast period
Customer journey analytics applications will likely increase in demand in the market as enterprise adoption of the software continues to rise. The use of customer journey analytics software can provide many benefits to large enterprises that can be reaped.
The adoption rate of cloud computing among large enterprises is projected to increase at a tremendous rate, with a CAGR of 13.1%. In order to provide their clients with a better customer experience, large companies analyze the customer's journey in order to optimize their marketing and sales efforts. As a result, this data can also be used for improving their product offerings and business strategies.
Customer journey analytics software can provide enterprises with a wide range of benefits, including enhanced customer service, revenue growth, enhanced knowledge of the customers, improved marketing and sales efforts, enhanced product offerings, and increased sales in the market. Further, organizations spend a great deal of money on technological advancements in order to secure a larger share of the market in a highly competitive market.
Businesses are using predictive analytics to make accurate predictions about consumer buying preferences through the use of business intelligence solutions in the market. As part of the predictive analysis, different models are used to improve satisfaction with existing customers, prevent customer loss, and strengthen customer relationships.
Cloud-based Customer Journey Analytics Software Expected to Reign Supreme
The customer journey analytics market has been segmented into two categories based on top types on-premises and cloud-based. According to the forecast, the cloud segment is expected to grow at a rapid pace during this period. The availability of easy deployment options and minimal capital and time requirements can be attributed to the high CAGR of 13.6% in the cloud segment.
The acceleration of social distancing, online shopping, and the lockdown of COVID-19 have all contributed to the lockdown scenario, and are anticipated to drive the adoption of cloud-based customer journey analytics solutions.
Using a cloud-based customer journey analytics solution helps businesses improve their customer journey analytics by tracking, understanding, and optimizing their customers' journeys. Customer retention and loyalty can be improved as well as customer churn is reduced using these technologies.
SMEs with limited resources and time can use cloud-based customer journey analytics software since it is accessible to all businesses. Companies across the globe introduced work-from-home policies for their employees during covid-19, thus creating a market opportunity for companies to use cloud-based analytics solutions to manage critical information in the market.
Availability of new technology and expansion of business to broaden the scope of the North American market
As a result of the rapid adoption of new technologies and the presence of significant market players in this region, the market for customer journey analytics software market is likely to dominate in the near future. Increasingly, enterprises in this region see data collection, usage, and analysis as an opportunity to improve the customer experience in the market.
The USA is expected to generate a CAGR of 13.4% for customer journey analytics software during the forecast period. The majority of American companies will also continue to spend more money on marketing, yielding a moderate growth rate compared to the rest of the world.
As the growth of online applications has been spreading rapidly throughout the country, the USA has been identified as the region's biggest market for customer journey analytics. As a result of changing infrastructures and technological advancement in these regions, growth in customer journey analytics software is expected to continue to accelerate in the market.
China's Customer Journey Analytics Software Market is anticipated to grow impressively
As a result of the trend toward adopting customer journey analytics software, the Asia Pacific region is predicted to grow at the highest CAGR during the forecast period. As customer experience becomes more important in key countries like China, India, Japan, and Korea, more solutions and services focusing on customer journey analytics are expected to emerge in the coming years.
The commercialization of AI and machine learning techniques, which have a tendency to lead to a vast amount of data pertaining to customers, and the requirement to further advance this technology in order to realize its full potential is expected to increase the use of customer journey analytics software in the region.
It is expected that the Chinese market will represent the highest CAGR of 15.7% in the customer journey analytics software market for the forecast period.
Over the forecast period, Japan is projected to achieve a CAGR of 12.1% in 2032. South Korea's market is expected to grow by 11.2% CAGR over the next few years due to the increasing demand for cloud storage systems and the growth of SMEs in the region.
An increase in the number of industries adopting analytics software as well as an enormous rate of smartphone penetration is among other reasons for the growth of the customer journey analytics software market.
UK to emerge as the third largest country in the customer journey analytics software market
Due to the acceptance of emerging technologies, Europe ranks third in the customer journey analytics market. The customer journey analytics software market in the United Kingdom is projected to register a 12.6% CAGR during the forecast period.
The growth of e-commerce and retail sales in these regions will further drive customer journey analytics market growth. It is expected that the market will experience increased demand for digitization across different verticals in this region to continue to motivate their growth.
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Adobe, Pointillist, Salesforce, Flockrush, Indicatie, Verint, CloudCherry, Cooladata, UXPressia, Alterian, and Auryc, among others are the top companies in the global customer journey analytics software market.
The main firms, which hold a substantial share of the customer journey analytics market, are concentrating on growing their customer base in new countries. To increase their profits and market share, these businesses rely on strategic collaboration initiatives.
As a result of technological advancements and product innovations, smaller and mid-sized businesses are expanding their market presence and entering new markets.
The customer journey analytics software market is expected to grow at a steady CAGR of 13.7% over the forecast period.
The global market for customer journey analytics software was valued at US$ 1.8 Billion in 2021
Large Enterprises are projected to have the highest market with a CAGR of 13.1% during the forecast period.
USA leads the global customer journey analytics software market with a CAGR of 13.4% during the forecast period.
The market for customer journey analytics software is expected to grow by nearly US$ 7.4 Billion by 2032.
The cloud-based are expected to reach a CAGR of 13.6% during the forecast period.
The China market is expected to garner US$ 527.3 Million while expanding at a 13.1% CAGR from 2022 to 2032.
1. Executive Summary | Customer Journey Analytics Software Market 1.1. Global Market Outlook 1.2. Summary of Statistics 1.3. Key Market Characteristics & Attributes 1.4. FMI Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Risks and Trends Assessment 3.1. Risk Assessment 3.1.1. COVID-19 Crisis and Impact on Demand 3.1.2. COVID-19 Impact Benchmark with Previous Crisis 3.1.3. Impact on Market Value (US$ Million) 3.1.4. Assessment by Key Countries 3.1.5. Assessment by Key Market Segments 3.1.6. Action Points and Recommendation for Suppliers 3.2. Key Trends Impacting the Market 3.3. Formulation and Product Development Trends 4. Market Background and Foundation Data Points 4.1. Global Market (US$ Million) 4.2. Market Opportunity Assessment (US$ Million) 4.2.1. Total Available Market 4.2.2. Serviceable Addressable Market 4.2.3. Serviceable Obtainable Market 4.3. Market Scenario Forecast 4.3.1. Demand in Optimistic Scenario 4.3.2. Demand in Likely Scenario 4.3.3. Demand in Conservative Scenario 4.4. Investment Feasibility Analysis 4.4.1. Investment in Established Markets 4.4.1.1. In Short Term 4.4.1.2. In Long Term 4.4.2. Investment in Emerging Markets 4.4.2.1. In Short Term 4.4.2.2. In Long Term 4.5. Forecast Factors - Relevance & Impact 4.5.1. Top Companies Historical Growth 4.5.2. Global Market Growth 4.5.3. Adoption Rate, By Country 4.6. Market Dynamics 4.6.1. Market Driving Factors and Impact Assessment 4.6.2. Prominent Market Challenges and Impact Assessment 4.6.3. Market Opportunities 4.6.4. Prominent Trends in the Global Market & Their Impact Assessment 5. Key Success Factors 5.1. Manufacturers’ Focus on Low Penetration High Growth Markets 5.2. Banking on with Segments High Incremental Opportunity 5.3. Peer Benchmarking 6. Global Market Demand Analysis 2015 to 2021 and Forecast, 2022 to 2032 6.1. Historical Market Analysis, 2015 to 2021 6.2. Current and Future Market Projections, 2022 to 2032 6.3. Y-o-Y Growth Trend Analysis 7. Global Market Value Analysis 2015 to 2021 and Forecast, 2022 to 2032 7.1. Historical Market Value (US$ Million) Analysis, 2015 to 2021 7.2. Current and Future Market Value (US$ Million) Projections, 2022 to 2032 7.2.1. Y-o-Y Growth Trend Analysis 7.2.2. Absolute $ Opportunity Analysis 8. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Type 8.1. Introduction / Key Findings 8.2. Historical Market Size (US$ Million) Analysis By Type, 2015 to 2021 8.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Type, 2022 to 2032 8.3.1. Cloud Based 8.3.2. On-Premises 8.4. Market Attractiveness Analysis By Type 9. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Application 9.1. Introduction / Key Findings 9.2. Historical Market Size (US$ Million) Analysis By Application, 2015 to 2021 9.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Application, 2022 to 2032 9.3.1. Large Enterprises 9.3.2. SMEs 9.4. Market Attractiveness Analysis By Application 10. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Region 10.1. Introduction 10.2. Historical Market Size (US$ Million) Analysis By Region, 2015 to 2021 10.3. Current Market Size (US$ Million) & Analysis and Forecast By Region, 2022 to 2032 10.3.1. North America 10.3.2. Latin America 10.3.3. Europe 10.3.4. Asia Pacific 10.3.5. Middle East and Africa (MEA) 10.4. Market Attractiveness Analysis By Region 11. North America Market Analysis 2015 to 2021 and Forecast 2022 to 2032 11.1. Introduction 11.2. Pricing Analysis 11.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021 11.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 11.4.1. By Country 11.4.1.1. United States of America 11.4.1.2. Canada 11.4.1.3. Rest of North America 11.4.2. By Type 11.4.3. By Application 11.5. Market Attractiveness Analysis 11.5.1. By Country 11.5.2. By Type 11.5.3. By Application 12. Latin America Market Analysis 2015 to 2021 and Forecast 2022 to 2032 12.1. Introduction 12.2. Pricing Analysis 12.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021 12.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 12.4.1. By Country 12.4.1.1. Brazil 12.4.1.2. Mexico 12.4.1.3. Rest of Latin America 12.4.2. By Type 12.4.3. By Application 12.5. Market Attractiveness Analysis 12.5.1. By Country 12.5.2. By Type 12.5.3. By Application 13. Europe Market Analysis 2015 to 2021 and Forecast 2022 to 2032 13.1. Introduction 13.2. Pricing Analysis 13.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021 13.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 13.4.1. By Country 13.4.1.1. Germany 13.4.1.2. France 13.4.1.3. United Kingdom 13.4.1.4. Italy 13.4.1.5. Benelux 13.4.1.6. Nordic Countries 13.4.1.7. Rest of Europe 13.4.2. By Type 13.4.3. By Application 13.5. Market Attractiveness Analysis 13.5.1. By Country 13.5.2. By Type 13.5.3. By Application 14. Asia Pacific Market Analysis 2015 to 2021 and Forecast 2022 to 2032 14.1. Introduction 14.2. Pricing Analysis 14.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021 14.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 14.4.1. By Country 14.4.1.1. China 14.4.1.2. Japan 14.4.1.3. South Korea 14.4.1.4. Rest of Asia Pacific 14.4.2. By Type 14.4.3. By Application 14.5. Market Attractiveness Analysis 14.5.1. By Country 14.5.2. By Type 14.5.3. By Application 15. Middle East and Africa Market Analysis 2015 to 2021 and Forecast 2022 to 2032 15.1. Introduction 15.2. Pricing Analysis 15.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021 15.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 15.4.1. By Country 15.4.1.1. GCC Countries 15.4.1.2. South Africa 15.4.1.3. Turkey 15.4.1.4. Rest of Middle East and Africa 15.4.2. By Type 15.4.3. By Application 15.5. Market Attractiveness Analysis 15.5.1. By Country 15.5.2. By Type 15.5.3. By Application 16. Key Countries Market Analysis 2015 to 2021 and Forecast 2022 to 2032 16.1. Introduction 16.1.1. Market Value Proportion Analysis, By Key Countries 16.1.2. Global Vs. Country Growth Comparison 16.2. US Market Analysis 16.2.1. Value Proportion Analysis by Market Taxonomy 16.2.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.2.2.1. By Type 16.2.2.2. By Application 16.3. Canada Market Analysis 16.3.1. Value Proportion Analysis by Market Taxonomy 16.3.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.3.2.1. By Type 16.3.2.2. By Application 16.4. Mexico Market Analysis 16.4.1. Value Proportion Analysis by Market Taxonomy 16.4.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.4.2.1. By Type 16.4.2.2. By Application 16.5. Brazil Market Analysis 16.5.1. Value Proportion Analysis by Market Taxonomy 16.5.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.5.2.1. By Type 16.5.2.2. By Application 16.6. Germany Market Analysis 16.6.1. Value Proportion Analysis by Market Taxonomy 16.6.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.6.2.1. By Type 16.6.2.2. By Application 16.7. France Market Analysis 16.7.1. Value Proportion Analysis by Market Taxonomy 16.7.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.7.2.1. By Type 16.7.2.2. By Application 16.8. Italy Market Analysis 16.8.1. Value Proportion Analysis by Market Taxonomy 16.8.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.8.2.1. By Type 16.8.2.2. By Application 16.9. BENELUX Market Analysis 16.9.1. Value Proportion Analysis by Market Taxonomy 16.9.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.9.2.1. By Type 16.9.2.2. By Application 16.10. UK Market Analysis 16.10.1. Value Proportion Analysis by Market Taxonomy 16.10.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.10.2.1. By Type 16.10.2.2. By Application 16.11. Nordic Countries Market Analysis 16.11.1. Value Proportion Analysis by Market Taxonomy 16.11.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.11.2.1. By Type 16.11.2.2. By Application 16.12. China Market Analysis 16.12.1. Value Proportion Analysis by Market Taxonomy 16.12.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.12.2.1. By Type 16.12.2.2. By Application 16.13. Japan Market Analysis 16.13.1. Value Proportion Analysis by Market Taxonomy 16.13.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.13.2.1. By Type 16.13.2.2. By Application 16.14. South Korea Market Analysis 16.14.1. Value Proportion Analysis by Market Taxonomy 16.14.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.14.2.1. By Type 16.14.2.2. By Application 16.15. GCC Countries Market Analysis 16.15.1. Value Proportion Analysis by Market Taxonomy 16.15.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.15.2.1. By Type 16.15.2.2. By Application 16.16. South Africa Market Analysis 16.16.1. Value Proportion Analysis by Market Taxonomy 16.16.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.16.2.1. By Type 16.16.2.2. By Application 16.17. Turkey Market Analysis 16.17.1. Value Proportion Analysis by Market Taxonomy 16.17.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.17.2.1. By Type 16.17.2.2. By Application 16.17.3. Competition Landscape and Player Concentration in the Country 17. Market Structure Analysis 17.1. Market Analysis by Tier of Companies 17.2. Market Concentration 17.3. Market Share Analysis of Top Players 17.4. Market Presence Analysis 17.4.1. By Regional Footprint of Players 17.4.2. Product Footprint by Players 18. Competition Analysis 18.1. Competition Dashboard 18.2. Competition Benchmarking 18.3. Competition Deep Dive 18.3.1. Adobe 18.3.1.1. Overview 18.3.1.2. Product Portfolio 18.3.1.3. Sales Footprint 18.3.1.4. Strategy Overview 18.3.2. Pointillist 18.3.2.1. Overview 18.3.2.2. Product Portfolio 18.3.2.3. Sales Footprint 18.3.2.4. Strategy Overview 18.3.3. Salesforce 18.3.3.1. Overview 18.3.3.2. Product Portfolio 18.3.3.3. Sales Footprint 18.3.3.4. Strategy Overview 18.3.4. Flockrush 18.3.4.1. Overview 18.3.4.2. Product Portfolio 18.3.4.3. Sales Footprint 18.3.4.4. Strategy Overview 18.3.5. Indicative 18.3.5.1. Overview 18.3.5.2. Product Portfolio 18.3.5.3. Sales Footprint 18.3.5.4. Strategy Overview 18.3.6. Verint 18.3.6.1. Overview 18.3.6.2. Product Portfolio 18.3.6.3. Sales Footprint 18.3.6.4. Strategy Overview 18.3.7. CloudCherry 18.3.7.1. Overview 18.3.7.2. Product Portfolio 18.3.7.3. Sales Footprint 18.3.7.4. Strategy Overview 18.3.8. Cooladata 18.3.8.1. Overview 18.3.8.2. Product Portfolio 18.3.8.3. Sales Footprint 18.3.8.4. Strategy Overview 18.3.9. UXPressia 18.3.9.1. Overview 18.3.9.2. Product Portfolio 18.3.9.3. Sales Footprint 18.3.9.4. Strategy Overview 18.3.10. Alterian 18.3.10.1. Overview 18.3.10.2. Product Portfolio 18.3.10.3. Sales Footprint 18.3.10.4. Strategy Overview 18.3.11. Auryc 18.3.11.1. Overview 18.3.11.2. Product Portfolio 18.3.11.3. Sales Footprint 18.3.11.4. Strategy Overview 19. Assumptions and Acronyms Used 20. Research Methodology
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