DUBLIN--(BUSINESS WIRE)--The "Product Analytics Market Research Report: By Offering, Solution, Deployment Type, Enterprise Size, Industry, End - User, Regional Outlook - Industry Size and Share Analysis and Forecast to 2024" report has been added to ResearchAndMarkets.com's offering.
Advancing at a CAGR of 18.8% during the forecast period (2019-2024), the product analytics market is predicted to garner $38,049.5 million by 2024, registering a significant jump in revenue from $14,109.3 million in 2018.
Factors such as the rising number of mobile application users, growing digital disruption, and the increasing usage of social media across the globe, are attributed for the market growth. A specialized application of business intelligence and analytics software that lets end users utilize product returns, service reports, and customer feedback data from embedded sensors is termed as product analytics.
The product analytics market is bifurcated into mobile-based and web-based solutions, based on solution. The dominating share in the market in 2018 was held by the web-based solutions bifurcation. This was attributed to the heavy usage of internet by consumers, and their activities can be easily tracked by using web-based analytics solutions. In the forecast period, the higher CAGR is expected to be witnessed by the mobile-based solutions due to the rising number of smartphone users, which is resulting in the excessive use of mobile phones for various tasks, such as banking and gaming.
The demand for product analytics market is witnessing growth due to the rising demand for customers for fast, on-demand, and reliable services during digital interactions. The digital engagement has immensely evolved across the globe, where consumers are turning to the digital world for almost everything, ranging from gaming and retail to banking and e-commerce. Product analytics is witnessing a high demand with the increasing requirement for tracking customer's behavior to provide them better services in future. Companies are increasingly investing in digital intelligence to gauge the changing preferences of customers, and offer them personalized services.
The product analytics market can take advantage of the inclusion of the artificial intelligence and deep learning technologies, such as the convolutional neural networks. These technologies are currently being used for unstructured text, image, and voice processing, and may find application in several other domains. The cognitive technologies that are based on human mind, would be used for processing the complex data streams, which would be generated for effective marketing of insurance products considering a potential customer's past activities and behaviors.
Therefore, the market for product analytics is expected to witness remarkable growth in the coming years due to the rising competition and changing consumer preferences.
Key Topics Covered:
Chapter 1. Research Background
1.1 Research Objectives
1.2 Market Definition
1.3 Research Scope
1.3.1 Market Segmentation by Offering
1.3.2 Market Segmentation by Solution
1.3.3 Market Segmentation by Deployment Type
1.3.4 Market Segmentation by Enterprise Size
1.3.5 Market Segmentation by Industry
1.3.6 Market Segmentation by End-User
1.3.7 Market Segmentation by Region
1.3.8 Analysis Period
1.3.9 Market Data Reporting Unit
1.4 Key Stakeholders
Chapter 2. Research Methodology
2.1 Secondary Research
2.2 Primary Research
2.2.1 Breakdown of Primary Research Respondents
220.127.116.11 By region
18.104.22.168 By industry participant
22.214.171.124 By company type
2.3 Market Size Estimation
2.4 Data Triangulation
2.5 Assumptions for the Study
Chapter 3. Executive Summary
Chapter 4. Introduction
4.1 Definition of Market Segments
4.2 Value Chain Analysis
4.3 Market Dynamics
4.4 Porter's Five Forces Analysis
Chapter 5. Global Market Size and Forecast
5.1 By Offering
5.1.1 Service, by Type
5.2 By Solution
5.3 By Deployment Type
5.4 By Enterprise Size
5.5 By Industry
5.6 By End-User
5.7 By Region
Chapter 6. North America Market Size and Forecast
Chapter 7. Europe Market Size and Forecast
Chapter 8. APAC Market Size and Forecast
Chapter 9. RoW Market Size and Forecast
Chapter 10. Competitive Landscape
10.1 List of Key Players and Their Offerings
10.2 Market Share Analysis of Key Players
10.3 Competitive Benchmarking of Key Players
10.4 Recent Activities of Key Players
10.5 Strategic Developments of Key Players
Chapter 11. Company Profiles
11.1 International Business Machines (IBM) Corporation
11.2 Alphabet Inc.
11.3 salesforce.com inc.
11.4 Oracle Corporation
11.5 SAP SE
11.6 Atlassian Corporation PLC
11.7 Mixpanel Inc.
11.8 SAS Institute Inc.
11.9 Teradata Corporation
11.10 Adobe Systems Incorporated
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