Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

Description

The Global Marketing Analytics Market size is anticipated to witness over 16% CAGR between 2024 and 2032 led by the escalating demand for data-centric decision-making and the intricate nature of marketing channels. As companies endeavor to decode and refine their marketing tactics, there has been a pronounced surge in the appetite for advanced analytics tools as they offer invaluable insights into customer behaviors, campaign efficacy, and overarching market trends. For instance, in March 2024, Analytic Edge unveiled 'Analytic Edge Qube', a SaaS platform that boasts a holistic toolkit tailored for marketing analytics.

Technological strides, notably the emergence of big data, AI, and machine learning (ML), are acting as catalysts for this market expansion. These innovations facilitate the aggregation and scrutiny of vast data troves from diverse origins, yielding profound insights and heightened predictive accuracy. Furthermore, AI and ML integration amplifies the capacity to discern patterns, streamline processes, and curate bespoke marketing strategies.

The industry is classified into application, deployment model, organization size, end user, and region.

Based on application, the marketing analytics market size from the e-mail marketing segment is slated to witness significant growth during 2024-2032. This prominence stems from its emphasis on data-centric optimization and performance evaluation. Email marketing, rich in data metrics like open rates and conversions, plays a pivotal role in gauging campaign success.

In terms of end user, the marketing analytics market from the BFSI segment will foresee considerable growth up to 2032 owing to the need for precise customer insights and regulatory compliance. Marketing analytics help in understanding customer behavior, personalizing financial products and optimizing marketing strategies to improve customer acquisition and retention. The BFSI sector relies heavily on data to drive targeted campaigns, assess risk, and enhance customer experiences while adhering to stringent regulatory requirements.

Asia Pacific marketing analytics industry is anticipated to witness a substantial CAGR through 2032 attributed to rapid digital transformation, increasing internet penetration, and the rising adoption of advanced technologies. As the e-commerce landscape flourishes and the consumer base diversifies, the resultant data deluge is adeptly harnessed by businesses. Through marketing analytics, companies are not only refining their strategies but also amplifying customer engagement, adding to the regional market growth.

Product Code: 7269

Chapter 1 Methodology and Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimates
1.3 Forecast model
1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market definitions

Chapter 2 Executive Summary

2.1 Industry 360º synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Software providers
- 3.2.2 Technology providers
- 3.2.3 Service providers
- 3.2.4 End users
3.3 Profit margin analysis
3.4 Technology and innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
- 3.6.1 Partnership/collaboration
- 3.6.2 Merger/acquisition
- 3.6.3 Investment
- 3.6.4 Application launch and innovation
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Increasing adoption of big data and cloud computing
  - 3.8.1.2 Rising demand for data-driven marketing
  - 3.8.1.3 Growing need to optimize marketing budgets
  - 3.8.1.4 Surging demand for real-time insights
- 3.8.2 Industry pitfalls and challenges
  - 3.8.2.1 Complexity of marketing analytics tools
  - 3.8.2.2 High cost of marketing analytics solutions for SME
3.9 Growth potential analysis
3.10 Porter's analysis
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Application, 2021-2032 ($Mn)

5.1 Key trends
5.2 Social media marketing
5.3 E-mail marketing
5.4 Search engine Marketing
5.5 Content marketing
5.6 Others

Chapter 6 Market Estimates and Forecast, By Deployment Model, 2021-2032 ($Mn)

6.1 Key trends
6.2 Cloud
6.3 On-Premises

Chapter 7 Market Estimates and Forecast, By Organization Size, 2021-2032 ($Mn)

7.1 Key trends
7.2 SME
7.3 Large enterprises

Chapter 8 Market Estimates and Forecast, By End user, 2021-2032 ($Mn)

8.1 Key trends, by end user
8.2 Retail and consumer goods
- 8.2.1 Social media marketing
- 8.2.2 E-mail marketing
- 8.2.3 Search engine marketing
- 8.2.4 Content marketing
- 8.2.5 Others
8.3 BFSI
- 8.3.1 Social media marketing
- 8.3.2 E-mail marketing
- 8.3.3 Search engine marketing
- 8.3.4 Content marketing
- 8.3.5 Others
8.4 Retail
- 8.4.1 Social media marketing
- 8.4.2 E-mail marketing
- 8.4.3 Search engine marketing
- 8.4.4 Content marketing
- 8.4.5 Others
8.5 Media and communication
- 8.5.1 Social media marketing
- 8.5.2 E-mail marketing
- 8.5.3 Search engine marketing
- 8.5.4 Content marketing
- 8.5.5 Others
8.6 Healthcare
- 8.6.1 Social media marketing
- 8.6.2 E-mail marketing
- 8.6.3 Search engine marketing
- 8.6.4 Content marketing
- 8.6.5 Others
8.7 Industrial
- 8.7.1 Social media marketing
- 8.7.2 E-mail marketing
- 8.7.3 Search engine marketing
- 8.7.4 Content marketing
- 8.7.5 Others
8.8 Others

Chapter 9 Market Estimates and Forecast, By Region, 2021-2032 ($Mn)

9.1 Key trends, by region
9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
9.3 Europe
- 9.3.1 UK
- 9.3.2 Germany
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.3.6 Nordics
9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 India
- 9.4.3 Japan
- 9.4.4 ANZ
- 9.4.5 South Korea
- 9.4.6 Southeast Asia
9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Argentina
9.6 MEA
- 9.6.1 UAE
- 9.6.2 Saudi Arabia
- 9.6.3 South Africa

Chapter 10 Company Profiles

10.1 Accenture PLC
10.2 Adobe Systems, Inc.
10.3 CleverTap
10.4 Experian PLC
10.5 Google
10.6 HubSpot
10.7 IBM Corporation
10.8 Mailchimp
10.9 McKinsey and Company
10.10 Microsoft Corporation
10.11 NGDATA, Inc.
10.12 Oracle Corporation
10.13 Pegasystems, Inc.
10.14 Salesforce
10.15 SAS Institute, Inc.
10.16 SAP SE
10.17 Semrush
10.18 Supermetrics
10.19 Teradata Corporation
10.20 Wipro Ltd.