Global Customer Intelligent Platform Software Industry

Global Customer Intelligent Platform Software Industry Research & Trends Analysis Report

Global Customer Intelligent Platform Software Industry

Global Customer Intelligent Platform Software Industry Research & Trends Analysis Report


Customer Intelligent Platform Software Market by End User (Office Building Construction, Retail Construction, Hospitality Construction, Institutional Construction, Other End Users), by North America (United States, Canada, Mexico), by South America (Brazil, Argentina, Rest of South America), by Europe (United Kingdom, Germany, France, Italy, Spain, Russia, Benelux, Nordics, Rest of Europe), by Middle East & Africa (Turkey, Israel, GCC, North Africa, South Africa, Rest of Middle East & Africa), by Asia Pacific (China, India, Japan, South Korea, ASEAN, Oceania, Rest of Asia Pacific) Forecast - is a comprehensive report that provides insights into the market dynamics, including the key drivers, challenges, and opportunities shaping the industry landscape. It also delves into the competitive landscape, highlighting the major players and their strategies.


Exclusive deal : 20% Instant discount on Direct purchases! Don't wait—claim your discount today!

According to Market IntelliX Research, the global market for Customer Intelligent Platform Software should grow from US$ million in 2023 to US$ million by 2030, with a CAGR of % for the period of 2024-2030.

China Customer Intelligent Platform Software market should grow from US$ million in 2023 to US$ million by 2030, with a CAGR of % for the period of 2024-2030.

The United States Customer Intelligent Platform Software market should grow from US$ million in 2023 to US$ million by 2030, with a CAGR of % for the period of 2024-2030.

In terms of type, Cloud Based segment holds a share about % in 2023 and will reach % in 2030; while in terms of application, Marketing Analysis has a share approximately % in 2023 and will grow at a CAGR % during 2024 and 2030.

The global key manufacturers of Customer Intelligent Platform Software include AllSight, Accenture lnsights Platform, Verint Systems, Janrain, DataSift, IBM Predictive Customer Intelligence, Oracle Data Cloud, SAS Customer Intelligence and Selligent, etc. In 2023, the global top five players hold a share approximately % in terms of revenue.

This report aims to provide a comprehensive study of the global market for Customer Intelligent Platform Software. Report Highlights:

(1) Global Customer Intelligent Platform Software market size (value),history data from 2019-2024 and forecast data from 2024 to 2030.

(2) Global Customer Intelligent Platform Software market competitive situation, revenue and market share, from 2018 to 2022.

(3) China Customer Intelligent Platform Software market competitive situation, revenue and market share, from 2018 to 2022.

(4) Global Customer Intelligent Platform Software segment by region (or country), key regions cover the United States, Europe, Japan, South Korea, Southeast Asia and India, etc.

(5) Global Customer Intelligent Platform Software segment by type and by application and regional segment by type and by application.

(6) Customer Intelligent Platform Software industry supply chain, upstream, midstream and downstream analysis.

Market segment by regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia, Italy and Rest of Europe)

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)

South America (Brazil, Rest of South America)

Middle East & Africa

Market segment by type, covers

Cloud Based

Local Based

Market segment by application, can be divided into

Marketing Analysis

Customer Optimization

Real-Time Customer Experience

Others

Market segment by players, this report covers

AllSight

Accenture lnsights Platform

Verint Systems

Janrain

DataSift

IBM Predictive Customer Intelligence

Oracle Data Cloud

SAS Customer Intelligence

Selligent

Vision Critical

TrustSphere

Umbe

1 Market Overview

1.1 Product Overview and Scope of Customer Intelligent Platform Software

1.2 Global Customer Intelligent Platform Software Market Size and Forecast

1.3 China Customer Intelligent Platform Software Market Size and Forecast

1.4 China Market Percentage in Global

1.4.1 By Revenue, China Customer Intelligent Platform Software Share in Global Market, 2019-2030

1.4.2 Customer Intelligent Platform Software Market Size: China VS Global, 2019-2030

1.5 Customer Intelligent Platform Software Market Dynamics

1.5.1 Customer Intelligent Platform Software Market Drivers

1.5.2 Customer Intelligent Platform Software Market Restraints

1.5.3 Customer Intelligent Platform Software Industry Trends

1.5.4 Customer Intelligent Platform Software Industry Policy

2 Global Competitive Situation by Company

2.1 Global Customer Intelligent Platform Software Revenue by Company (2019-2024)

2.2 Global Customer Intelligent Platform Software Participants, Market Position (Tier 1, Tier 2 and Tier 3)

2.3 Global Customer Intelligent Platform Software Concentration Ratio

2.4 Global Customer Intelligent Platform Software Mergers & Acquisitions, Expansion Plans

2.5 Global Customer Intelligent Platform Software Manufacturers Product Type

3 China Competitive Situation by Company

3.1 China Customer Intelligent Platform Software Revenue by Company (2019-2024)

3.2 China Customer Intelligent Platform Software Customer Intelligent Platform Software Participants, Market Position (Tier 1, Tier 2 and Tier 3)

3.3 China Customer Intelligent Platform Software, Revenue Percentage of Local Players VS Foreign Manufacturers (2019-2024)

4 Industry Chain Analysis

4.1 Customer Intelligent Platform Software Industry Chain

4.2 Customer Intelligent Platform Software Upstream Analysis

4.3 Customer Intelligent Platform Software Midstream Analysis

4.4 Customer Intelligent Platform Software Downstream Analysis

5 Sights by Type

5.1 Customer Intelligent Platform Software Classification

5.1.1 Cloud Based

5.1.2 Local Based

5.2 By Type, Global Customer Intelligent Platform Software Market Size & CAGR, 2019 VS 2024 VS 2030

5.3 By Type, Global Customer Intelligent Platform Software Revenue, 2019-2030

6 Sights by Application

6.1 Customer Intelligent Platform Software Segment by Application

6.1.1 Marketing Analysis

6.1.2 Customer Optimization

6.1.3 Real-Time Customer Experience

6.1.4 Others

6.2 By Application, Global Customer Intelligent Platform Software Market Size & CAGR, 2019 VS 2024 VS 2030

6.3 By Application, Global Customer Intelligent Platform Software Revenue, 2019-2030

7 Sales Sights by Region

7.1 By Region, Global Customer Intelligent Platform Software Market Size, 2019 VS 2024 VS 2030

7.2 By Region, Global Customer Intelligent Platform Software Market Size, 2019-2030

7.3 North America

7.3.1 North America Customer Intelligent Platform Software Market Size & Forecasts, 2019-2030

7.3.2 By Country, North America Customer Intelligent Platform Software Market Size Market Share

7.4 Europe

7.4.1 Europe Customer Intelligent Platform Software Market Size & Forecasts, 2019-2030

7.4.2 By Country, Europe Customer Intelligent Platform Software Market Size Market Share

7.5 Asia Pacific

7.5.1 Asia Pacific Customer Intelligent Platform Software Market Size & Forecasts, 2019-2030

7.5.2 By Country/Region, Asia Pacific Customer Intelligent Platform Software Market Size Market Share

7.6 South America

7.6.1 South America Customer Intelligent Platform Software Market Size & Forecasts, 2019-2030

7.6.2 By Country, South America Customer Intelligent Platform Software Market Size Market Share

7.7 Middle East & Africa

8 Sights by Country Level

8.1 By Country, Global Customer Intelligent Platform Software Market Size & CAGR，2019 VS 2024 VS 2030

8.2 By Country, Global Customer Intelligent Platform Software Market Size, 2019-2030

8.3 U.S.

8.3.1 U.S. Customer Intelligent Platform Software Market Size, 2019-2030

8.3.2 By Company, U.S. Customer Intelligent Platform Software Revenue Market Share, 2019-2024

8.3.3 By Type, U.S. Customer Intelligent Platform Software Revenue Market Share, 2023 VS 2030

8.3.4 By Application, U.S. Customer Intelligent Platform Software Revenue Market Share, 2023 VS 2030

8.4 Europe

8.4.1 Europe Customer Intelligent Platform Software Market Size, 2019-2030

8.4.2 By Company, Europe Customer Intelligent Platform Software Revenue Market Share, 2019-2024

8.4.3 By Type, Europe Customer Intelligent Platform Software Revenue Market Share, 2023 VS 2030

8.4.4 By Application, Europe Customer Intelligent Platform Software Revenue Market Share, 2023 VS 2030

8.5 China

8.5.1 China Customer Intelligent Platform Software Market Size, 2019-2030

8.5.2 By Company, China Customer Intelligent Platform Software Revenue Market Share, 2019-2024

8.5.3 By Type, China Customer Intelligent Platform Software Revenue Market Share, 2023 VS 2030

8.5.4 By Application, China Customer Intelligent Platform Software Revenue Market Share, 2023 VS 2030

8.6 Japan

8.6.1 Japan Customer Intelligent Platform Software Market Size, 2019-2030

8.6.2 By Company, Japan Customer Intelligent Platform Software Revenue Market Share, 2019-2024

8.6.3 By Type, Japan Customer Intelligent Platform Software Revenue Market Share, 2023 VS 2030

8.6.4 By Application, Japan Customer Intelligent Platform Software Revenue Market Share, 2023 VS 2030

8.7 South Korea

8.7.1 South Korea Customer Intelligent Platform Software Market Size, 2019-2030

8.7.2 By Company, South Korea Customer Intelligent Platform Software Revenue Market Share, 2019-2024

8.7.3 By Type, South Korea Customer Intelligent Platform Software Revenue Market Share, 2023 VS 2030

8.7.4 By Application, South Korea Customer Intelligent Platform Software Revenue Market Share, 2023 VS 2030

8.8 Southeast Asia

8.8.1 Southeast Asia Customer Intelligent Platform Software Market Size, 2019-2030

8.8.2 By Company, Southeast Asia Customer Intelligent Platform Software Revenue Market Share, 2019-2024

8.8.3 By Type, Southeast Asia Customer Intelligent Platform Software Revenue Market Share, 2023 VS 2030

8.8.4 By Application, Southeast Asia Customer Intelligent Platform Software Revenue Market Share, 2023 VS 2030

8.9 India

8.9.1 India Customer Intelligent Platform Software Market Size, 2019-2030

8.9.2 By Company, India Customer Intelligent Platform Software Revenue Market Share, 2019-2024

8.9.3 By Type, India Customer Intelligent Platform Software Revenue Market Share, 2023 VS 2030

8.9.4 By Application, India Customer Intelligent Platform Software Revenue Market Share, 2023 VS 2030

8.10 Middle East & Asia

8.10.1 Middle East & Asia Customer Intelligent Platform Software Market Size, 2019-2030

8.10.2 By Company, Middle East & Asia Customer Intelligent Platform Software Revenue Market Share, 2019-2024

8.10.3 By Type, Middle East & Asia Customer Intelligent Platform Software Revenue Market Share, 2023 VS 2030

8.10.4 By Application, Middle East & Asia Customer Intelligent Platform Software Revenue Market Share, 2023 VS 2030

9 Global Manufacturers Profile

9.1 AllSight

9.1.1 AllSight Company Information, Head Office, Market Area and Industry Position

9.1.2 AllSight Company Profile and Main Business

9.1.3 AllSight Customer Intelligent Platform Software Models, Specifications and Application

9.1.4 AllSight Customer Intelligent Platform Software Revenue and Gross Margin, 2019-2024

9.1.5 AllSight Recent Developments

9.2 Accenture lnsights Platform

9.2.1 Accenture lnsights Platform Company Information, Head Office, Market Area and Industry Position

9.2.2 Accenture lnsights Platform Company Profile and Main Business

9.2.3 Accenture lnsights Platform Customer Intelligent Platform Software Models, Specifications and Application

9.2.4 Accenture lnsights Platform Customer Intelligent Platform Software Revenue and Gross Margin, 2019-2024

9.2.5 Accenture lnsights Platform Recent Developments

9.3 Verint Systems

9.3.1 Verint Systems Company Information, Head Office, Market Area and Industry Position

9.3.2 Verint Systems Company Profile and Main Business

9.3.3 Verint Systems Customer Intelligent Platform Software Models, Specifications and Application

9.3.4 Verint Systems Customer Intelligent Platform Software Revenue and Gross Margin, 2019-2024

9.3.5 Verint Systems Recent Developments

9.4 Janrain

9.4.1 Janrain Company Information, Head Office, Market Area and Industry Position

9.4.2 Janrain Company Profile and Main Business

9.4.3 Janrain Customer Intelligent Platform Software Models, Specifications and Application

9.4.4 Janrain Customer Intelligent Platform Software Revenue and Gross Margin, 2019-2024

9.4.5 Janrain Recent Developments

9.5 DataSift

9.5.1 DataSift Company Information, Head Office, Market Area and Industry Position

9.5.2 DataSift Company Profile and Main Business

9.5.3 DataSift Customer Intelligent Platform Software Models, Specifications and Application

9.5.4 DataSift Customer Intelligent Platform Software Revenue and Gross Margin, 2019-2024

9.5.5 DataSift Recent Developments

9.6 IBM Predictive Customer Intelligence

9.6.1 IBM Predictive Customer Intelligence Company Information, Head Office, Market Area and Industry Position

9.6.2 IBM Predictive Customer Intelligence Company Profile and Main Business

9.6.3 IBM Predictive Customer Intelligence Customer Intelligent Platform Software Models, Specifications and Application

9.6.4 IBM Predictive Customer Intelligence Customer Intelligent Platform Software Revenue and Gross Margin, 2019-2024

9.6.5 IBM Predictive Customer Intelligence Recent Developments

9.7 Oracle Data Cloud

9.7.1 Oracle Data Cloud Company Information, Head Office, Market Area and Industry Position

9.7.2 Oracle Data Cloud Company Profile and Main Business

9.7.3 Oracle Data Cloud Customer Intelligent Platform Software Models, Specifications and Application

9.7.4 Oracle Data Cloud Customer Intelligent Platform Software Revenue and Gross Margin, 2019-2024

9.7.5 Oracle Data Cloud Recent Developments

9.8 SAS Customer Intelligence

9.8.1 SAS Customer Intelligence Company Information, Head Office, Market Area and Industry Position

9.8.2 SAS Customer Intelligence Company Profile and Main Business

9.8.3 SAS Customer Intelligence Customer Intelligent Platform Software Models, Specifications and Application

9.8.4 SAS Customer Intelligence Customer Intelligent Platform Software Revenue and Gross Margin, 2019-2024

9.8.5 SAS Customer Intelligence Recent Developments

9.9 Selligent

9.9.1 Selligent Company Information, Head Office, Market Area and Industry Position

9.9.2 Selligent Company Profile and Main Business

9.9.3 Selligent Customer Intelligent Platform Software Models, Specifications and Application

9.9.4 Selligent Customer Intelligent Platform Software Revenue and Gross Margin, 2019-2024

9.9.5 Selligent Recent Developments

9.10 Vision Critical

9.10.1 Vision Critical Company Information, Head Office, Market Area and Industry Position

9.10.2 Vision Critical Company Profile and Main Business

9.10.3 Vision Critical Customer Intelligent Platform Software Models, Specifications and Application

9.10.4 Vision Critical Customer Intelligent Platform Software Revenue and Gross Margin, 2019-2024

9.10.5 Vision Critical Recent Developments

9.11 TrustSphere

9.11.1 TrustSphere Company Information, Head Office, Market Area and Industry Position

9.11.2 TrustSphere Company Profile and Main Business

9.11.3 TrustSphere Customer Intelligent Platform Software Models, Specifications and Application

9.11.4 TrustSphere Customer Intelligent Platform Software Revenue and Gross Margin, 2019-2024

9.11.5 TrustSphere Recent Developments

9.12 Umbe

9.12.1 Umbe Company Information, Head Office, Market Area and Industry Position

9.12.2 Umbe Company Profile and Main Business

9.12.3 Umbe Customer Intelligent Platform Software Models, Specifications and Application

9.12.4 Umbe Customer Intelligent Platform Software Revenue and Gross Margin, 2019-2024

9.12.5 Umbe Recent Developments

10 Conclusion

11 Appendix

11.1 Research Methodology

11.2 Data Source

11.2.1 Secondary Sources

11.2.2 Primary Sources

11.3 Market Estimation Model

11.4 Disclaimer

Tables & Figures:
Show more
Research Methodology:
This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.
Customer Intelligent Platform Software Market Size Estimation

To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.

Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.

Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.

We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.

Data Source

Secondary Sources

This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.

These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.

Market Size
  • Segmental value
  • Geographic Penetration
  • Product Adoption Rate for Different market
  • Journals, Websites, and Press Releases
  • Annual Reports and SEC Filings
  • Company Websites and Press Releases
  • Public and Paid Databases
  • Market Intellix Data Repository
Market Position of Top Company
  • Product Financials
  • Geographic value Mix
  • Total Company value
  • Business/Segmental value Mix
Qualitative Analysis
  • Influence Factors
  • Market Potential
  • Market Risks and Opportunities
  • Industry Trends
  • Geographical Features
  • Government Policies
  • Company Websites and Press Releases
  • Public and Paid Databases
  • Annual Reports
  • Industry Associations
  • Market Intellix Data Repository

Primary Sources

As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.

On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.

These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.

Key Data Information from Primary Sources

Primary Sources Parameters Key Data
Market Segments(by Application, by Type)
  • Value by Type
  • Status and Forecast
  • Value by Application
  • Value by Regions, Status and Forecast (2025-2031)
  • Value Market Share by Type
  • Value Growth Rate by Type
  • Value by Application
  • Percentage and Growth Rate by Application
  • Value Growth Rate and Market Share by Regions
  • Market Size Status and Forecast (2025-2031)
Total Market
  • Overall Size, Status and Forecast
  • Market Size Status and Forecast (2025-2031)
Frequently asked questions(FAQ's):
How are players chosen for the research coverage of the Customer Intelligent Platform Software Market study?
MI used a variety of industry standards such as NAICS, ICB, TRIC, and others to identify functional players in the industry, which they then shortlist and validate in an iterative process to finalize the most relevant players.
What are the major applications of the Customer Intelligent Platform Software Market?
Depending upon the type of applications, the Customer Intelligent Platform Software Market has been segmented into and other applications.
What is the estimated value of the Customer Intelligent Platform Software Market?
The Customer Intelligent Platform Software Market is expected to reach a reasonable valuation by 2030; now the market is expected to shift its focus from growth to value.
What challenges does the Customer Intelligent Platform Software Market face in the future?
The convergence of various vital triggers, including a major slowdown in Western economies, and some critical points in globalization, leads to the transformation of business in the Customer Intelligent Platform Software Market across the extensive corporate landscape.
Who should consider the Customer Intelligent Platform Software Market study?
The Customer Intelligent Platform Software Industry stakeholders, executives, and experts, as well as individuals who need to develop consumer-friendly strategies and use technology to stay ahead of the competition.