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Global Customer Analytics for Brand Management Market – Industry Trends and Forecast to 2028

ICT | Upcoming Report | Feb 2021 | Global | 350 Pages | No of Tables: 220 | No of Figures: 60

Report Description

Global Customer Analytics for Brand Management Market, By Component (Component, Services), Deployment Mode (On-Premises, Cloud), Data Source (Web, Social Media, Smartphone, Email, Store, Call Center, Others), Organization Size (Large Enterprises, Small and Medium-Sized Enterprises (SMEs)), Industry Vertical (Banking, Financial Services, and Insurance (BFSI), Retail and E-Commerce, Telecommunications and IT, Energy and Utilities, Manufacturing, Transportation and Logistics, Government and Defense, Healthcare and Life Sciences, Media and Entertainment, Travel and Hospitality, Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2028

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Market Analysis and Insights : Global Customer Analytics for Brand Management Market

The customer analytics for brand management market is expected to witness market growth at a rate of 8.10% in the forecast period of 2021 to 2028 and is expected to reach USD 30.57 billion by 2028. Data Bridge Market Research report on customer analytics for brand management market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecast period while providing their impacts on the market’s growth. Technological advancement such as integration of artificial intelligence (AI) in various industries is escalating the growth of customer analytics for brand management market.  

Customer analytics are the processes and technologies which offer organizations insights regarding customer necessary to deliver offers that are anticipated, timely and relevant. It acts as the backbone for all marketing activities, customer analytics consist of techniques such as data visualization, information management, predictive modeling and segmentation. It integrates every touchpoint that a customer interacts through multiple channels together. It provides a unique and effective resource for marketers and customer service professionals for recognizing and interacting on a personal level with each user. 

The availability of real-time data and the adoption of digitization results in data analysts among enterprises for customer behavior are the major factors driving the growth of customer analytics for brand management market. The analysis emphasizes on business operations for efficiently making marketing decisions and thus, the increasing demand for consumer journey analysis due to the need for data analysis of the customer behavior accelerate the customer analytics for brand management market growth. The growing demand for personalized customer service, the shift in focus to personalized brand experiences as customers expect to be considered as individuals with unique interests and increasing acceptance of customer travel analytics influence the customer analytics for brand management market. The rise in the need to understand customer buying behavior for a more personalized customer experience and the integration of technologies such as AI, ML and business process automation to streamline marketing operations further boosts the customer analytics for brand management market. Additionally, growing investments towards the implementation of advanced marketing technologies and penetration of Internet of things and smartphones among consumers positively affect the customer analytics for brand management market. Furthermore, collaboration among departments for better and faster decision making and reduced advertising, campaigning and marketing costs extend profitable opportunities to the customer analytics for brand management market players in the forecast period of 2021 to 2028.  

On the other hand, the implementation of data privacy laws and protection of customer data critical for customer analytics is the expected to obstruct the customer analytics for brand management market growth. The rise in concerns regarding organizational failures pertaining to optimum use of customer data and inability to understand customer journey is projected to challenge the customer analytics for brand management market in the forecast period of 2021 to 2028.  

This customer analytics for brand management market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on customer analytics for brand management market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Customer Analytics for Brand Management Market Scope and Market Size

The customer analytics for brand management market is segmented on the basis of component, deployment type, data source, organization size and industry vertical. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target markets.

  • On the basis of component, the customer analytics for brand management market is segmented into component and services. Component is further segmented into solutions and services. Services are further segmented into consulting services, support and maintenance, education and training and integration and deployment.
  • On the basis of deployment mode, the customer analytics for brand management market is segmented into on-premises and cloud.
  • On the basis of data source, the customer analytics for brand management market is segmented into web, social media, smartphone, email, store, call center and others.
  • On the basis of organization size, the customer analytics for brand management market is segmented into large enterprises and small and medium-sized enterprises (SMEs).
  • On the basis of industry vertical, the customer analytics for brand management market is segmented into banking, financial services, and insurance (BFSI), retail and e-commerce, telecommunications and IT, energy and utilities, manufacturing, transportation and logistics, government and defense, healthcare and life sciences, media and entertainment, travel and hospitality and others.

Global Customer Analytics for Brand Management Market Country Level Analysis

The customer analytics for brand management market is analyzed and market size, volume information is provided by country, component, deployment type, data source, organization size and industry vertical as referenced above.      

The countries covered in the global customer analytics for brand management market report are the U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC)  in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).

North America dominates the customer analytics for brand management market due to the deployment of customer analytics solutions to utilize customer data, growing customer information through numerous data sources is forcing new development, technological advancement and presence of customer analytics solution vendors.

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.            

Competitive Landscape and Customer Analytics for Brand Management Market Share Analysis

The customer analytics for brand management market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to customer analytics for brand management market.

The major players covered in the customer analytics for brand management market report are Google, Adobe, SAP SE, Microsoft, Oracle, Salesforce.com, inc., SAS Institute Inc., Teradata, NICE, Manthan Software Services Pvt. Ltd., Mixpanel, Customer Analytics, Accenture, Absolutdata, NGDATA, Inc., Neustar, Inc., Segment.io, Inc., Second Measure, CaliberMind, Amperity, Inc. among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.


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