Smart Advertising Services Market Size - By Service, Platform Type, Pricing Model, Enterprise Size, End-use & Forecast 2023

Description

List of Tables

Global Smart Advertising Services Market will register substantial gains through 2032. Rapid industrialization across the globe has increased the demand for smart advertising services. Many businesses are investing in these services as they help optimize advertising efforts, making them more efficient and cost-effective. By leveraging AI and data analytics, enterprises can identify the most effective ad formats, messaging strategies, and channels to reach their target audience. This optimization minimizes ad spend, ensuring companies achieve better results within their advertising budgets.

The overall smart advertising services market is divided into services, platform, pricing model, enterprise size, end-use, and region.

Based on services, social media advertising services market value will grow substantially through 2032. Growing internet penetration coupled with the rising number of social media users has increased the demand for social media advertising services. Businesses across various industries are making hefty investments in social media advertising to reach their target audience and enhance their brand visibility. Social media advertising services provide advanced targeting options enabling businesses to define their target audience precisely.

In terms of enterprise size, the smart advertising services industry share from the large enterprises segment will grow at a notable CAGR from 2023 to 2032. Growing demand for personalized advertising solutions has increased the spending of large enterprises on smart advertising services. These services enable large enterprises to personalize their ad experiences for individual customers or customer segments. By leveraging AI algorithms, these services can deliver personalized content, recommendations, and offers based on the user's preferences, browsing history, and previous interactions.

With respect to end-use, the smart advertising services market size from the IT & telecom sector will expand considerably through 2032. Growing use of social media advertising in the IT & telecom sector will favor segment growth. Social media advertising allows IT and telecom companies to promote their products or services to a broader audience. Through this strategy, companies can highlight features, benefits, and use cases of their offerings through visually appealing ads, videos, or sponsored content, further contributing to segment growth.

On the regional front, Asia Pacific smart advertising services industry share will grow at a notable CAGR from 2023 to 2032. Growing smartphone usage attributed to surging digitalization has increased the demand for smart advertising services in the region. Moreover, countries such as India and China have millions of active users of social media platforms, which will support regional growth. Besides, the flourishing IT & telecom sector will positively affect the regional landscape over the estimation period.

Product Code: 5647

Chapter 1 Methodology & Scope

1.1 Market definitions
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data Sources
- 1.4.1 Primary
- 1.4.2 Secondary
  - 1.4.2.1 Paid sources
  - 1.4.2.2 Public sources

Chapter 2 Executive Summary

2.1 Smart advertising services market 360 degree synopsis, 2018 - 2032
2.2 Regional trends
2.3 Services trends
2.4 Platform type trends
2.5 Pricing model trends
2.6 Enterprise size trends
2.7 End-use trends

Chapter 3 Smart Advertising Services Market Industry Insights

3.1 Impact of COVID-19
3.2 Russia-Ukraine war impact
3.3 Industry ecosystem analysis
3.4 Vendor matrix
3.5 Profit margin analysis
3.6 Technology & innovation landscape
3.7 Patent analysis
3.8 Key news and initiatives
3.9 Regulatory landscape
3.10 Impact forces
- 3.10.1 Growth drivers
  - 3.10.1.1 Rising demand for social media engagement
  - 3.10.1.2 Shifting demand from traditional to digital channels
  - 3.10.1.3 Increasing use of AI in advertising
  - 3.10.1.4 The increasing adoption of digital displays
  - 3.10.1.5 The proliferation of smartphones and the growing internet penetration
- 3.10.2 Industry pitfalls & challenges
  - 3.10.2.1 The presence of strict regulations
  - 3.10.2.2 Increasing concerns over privacy
3.11 Profit margin analysis
3.12 Vendor matrix analysis
3.13 Growth potential analysis
3.14 Porter's analysis
3.15 PESTEL analysis

Chapter 4 Competitive Landscape, 2022

4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of major market players, 2022
- 4.3.1 Amazon.Com, Inc.
- 4.3.2 Google LLC
- 4.3.3 Meta
- 4.3.4 Microsoft
- 4.3.5 Omnicom Group Inc.
- 4.3.6 Hulu LLC
- 4.3.7 Twitter
4.4 Competitive positioning matrix, 2022
4.5 Strategic outlook matrix, 2022

Chapter 5 Smart Advertising Services Market, By Services

5.1 Key trends, by services
5.2 Email Advertising
- 5.2.1 Market estimates and forecast, 2018 - 2032
5.3 Video Advertising
- 5.3.1 Market estimates and forecast, 2018 - 2032
5.4 Search Engine Advertising
- 5.4.1 Market estimates and forecast, 2018 - 2032
5.5 Mobile Advertising
- 5.5.1 Market estimates and forecast, 2018 - 2032
5.6 Social Media Advertising
- 5.6.1 Market estimates and forecast, 2018 - 2032
5.7 Online Display Advertising
- 5.7.1 Market estimates and forecast, 2018 - 2032
5.8 Others
- 5.8.1 Market estimates and forecast, 2018 - 2032

Chapter 6 Smart Advertising Services Market, By Platform type

1.1 Key trends, by platform type
1.2 Mobile
- 1.2.1 Market estimates and forecast, 2018 - 2032
1.3 Laptops, Desktops & Tablets
- 1.3.1 Market estimates and forecast, 2018 - 2032
1.4 Others
- 1.4.1 Market estimates and forecast, 2018-2032

Chapter 7 Smart Advertising Services Market, By Pricing model

2.1 Key trends, by pricing model
2.2 Cost Per Mille (CPM)
- 2.2.1 Market estimates and forecast, 2018 - 2032
2.3 Performance-based Advertising
- 2.3.1 Market estimates and forecast, 2018 - 2032
2.4 Hybrid
- 2.4.1 Market estimates and forecast, 2018 - 2032

Chapter 8 Smart Advertising Services Market, By Enterprise size

3.1 Key trends, by enterprise size
3.2 Large Enterprise
- 3.2.1 Market estimates and forecast, 2018 - 2032
3.3 SMEs
- 3.3.1 Market estimates and forecast, 2018 - 2032

Chapter 9 Smart Advertising Services Market, By End-use

4.1 Key trends, by end-use
4.2 BFSI
- 4.2.1 Market estimates and forecast, 2018 - 2032
4.3 Retail & Consumer Goods
- 4.3.1 Market estimates and forecast, 2018 - 2032
4.4 Education
- 4.4.1 Market estimates and forecast, 2018 - 2032
4.5 Media and Entertainment
- 4.5.1 Market estimates and forecast, 2018 - 2032
4.6 IT & Telecom
- 4.6.1 Market estimates and forecast, 2018 - 2032
4.7 Healthcare
- 4.7.1 Market estimates and forecast, 2018 - 2032
4.8 Others
- 4.8.1 Market estimates and forecast, 2018 - 2032

Chapter 10 Smart Advertising Services Market, By Region

5.1 Key trends, by region
5.2 North America
- 5.2.1 Market estimates and forecast, 2018 - 2032
- 5.2.2 Market estimates and forecast, by services, 2018 - 2032
- 5.2.3 Market estimates and forecast, by platform type, 2018 - 2032
- 5.2.4 Market estimates and forecast, by pricing model, 2018 - 2032
- 5.2.5 Market estimates and forecast, by enterprise size, 2018 - 2032
- 5.2.6 Market estimates and forecast, by end-use, 2018 - 2032
- 5.2.7 U.S.
  - 5.2.7.1 Market estimates and forecast, 2018 - 2032
  - 5.2.7.2 Market estimates and forecast, by services, 2018 - 2032
  - 5.2.7.3 Market estimates and forecast, by platform type, 2018 - 2032
  - 5.2.7.4 Market estimates and forecast, by pricing model, 2018 - 2032
  - 5.2.7.5 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 5.2.7.6 Market estimates and forecast, by end-use, 2018 - 2032
- 5.2.8 Canada
  - 5.2.8.1 Market estimates and forecast, 2018 - 2032
  - 5.2.8.2 Market estimates and forecast, by services, 2018 - 2032
  - 5.2.8.3 Market estimates and forecast, by platform type, 2018 - 2032
  - 5.2.8.4 Market estimates and forecast, by pricing model, 2018 - 2032
  - 5.2.8.5 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 5.2.8.6 Market estimates and forecast, by end-use, 2018 - 2032
5.3 Europe
- 5.3.1 Market estimates and forecast, 2018 - 2032
- 5.3.2 Market estimates and forecast, by services, 2018 - 2032
- 5.3.3 Market estimates and forecast, by platform type, 2018 - 2032
- 5.3.4 Market estimates and forecast, by pricing model, 2018 - 2032
- 5.3.5 Market estimates and forecast, by enterprise size, 2018 - 2032
- 5.3.6 Market estimates and forecast, by end-use, 2018 - 2032
- 5.3.7 UK
  - 5.3.7.1 Market estimates and forecast, 2018 - 2032
  - 5.3.7.2 Market estimates and forecast, by services, 2018 - 2032
  - 5.3.7.3 Market estimates and forecast, by platform type, 2018 - 2032
  - 5.3.7.4 Market estimates and forecast, by pricing model, 2018 - 2032
  - 5.3.7.5 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 5.3.7.6 Market estimates and forecast, by end-use, 2018 - 2032
- 5.3.8 Germany
  - 5.3.8.1 Market estimates and forecast, 2018 - 2032
  - 5.3.8.2 Market estimates and forecast, by services, 2018 - 2032
  - 5.3.8.3 Market estimates and forecast, by platform type, 2018 - 2032
  - 5.3.8.4 Market estimates and forecast, by pricing model, 2018 - 2032
  - 5.3.8.5 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 5.3.8.6 Market estimates and forecast, by end-use, 2018 - 2032
- 5.3.9 France
  - 5.3.9.1 Market estimates and forecast, 2018 - 2032
  - 5.3.9.2 Market estimates and forecast, by services, 2018 - 2032
  - 5.3.9.3 Market estimates and forecast, by platform type, 2018 - 2032
  - 5.3.9.4 Market estimates and forecast, by pricing model, 2018 - 2032
  - 5.3.9.5 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 5.3.9.6 Market estimates and forecast, by end-use, 2018 - 2032
- 5.3.10 Italy
  - 5.3.10.1 Market estimates and forecast, 2018 - 2032
  - 5.3.10.2 Market estimates and forecast, by services, 2018 - 2032
  - 5.3.10.3 Market estimates and forecast, by platform type, 2018 - 2032
  - 5.3.10.4 Market estimates and forecast, by pricing model, 2018 - 2032
  - 5.3.10.5 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 5.3.10.6 Market estimates and forecast, by end-use, 2018 - 2032
- 5.3.11 Spain
  - 5.3.11.1 Market estimates and forecast, 2018 - 2032
  - 5.3.11.2 Market estimates and forecast, by services, 2018 - 2032
  - 5.3.11.3 Market estimates and forecast, by platform type, 2018 - 2032
  - 5.3.11.4 Market estimates and forecast, by pricing model, 2018 - 2032
  - 5.3.11.5 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 5.3.11.6 Market estimates and forecast, by end-use, 2018 - 2032
5.4 Asia Pacific
- 5.4.1 Market estimates and forecast, 2018 - 2032
- 5.4.2 Market estimates and forecast, by services, 2018 - 2032
- 5.4.3 Market estimates and forecast, by platform type, 2018 - 2032
- 5.4.4 Market estimates and forecast, by pricing model, 2018 - 2032
- 5.4.5 Market estimates and forecast, by enterprise size, 2018 - 2032
- 5.4.6 Market estimates and forecast, by end-use, 2018 - 2032
- 5.4.7 China
- 5.4.8
  - 5.4.8.1 Market estimates and forecast, 2018 - 2032
  - 5.4.8.2 Market estimates and forecast, by services, 2018 - 2032
  - 5.4.8.3 Market estimates and forecast, by platform type, 2018 - 2032
  - 5.4.8.4 Market estimates and forecast, by pricing model, 2018 - 2032
  - 5.4.8.5 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 5.4.8.6 Market estimates and forecast, by end-use, 2018 - 2032
- 5.4.9 Japan
  - 5.4.9.1 Market estimates and forecast, 2018 - 2032
  - 5.4.9.2 Market estimates and forecast, by services, 2018 - 2032
  - 5.4.9.3 Market estimates and forecast, by platform type, 2018 - 2032
  - 5.4.9.4 Market estimates and forecast, by pricing model, 2018 - 2032
  - 5.4.9.5 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 5.4.9.6 Market estimates and forecast, by end-use, 2018 - 2032
- 5.4.10 India
  - 5.4.10.1 Market estimates and forecast, 2018 - 2032
  - 5.4.10.2 Market estimates and forecast, by services, 2018 - 2032
  - 5.4.10.3 Market estimates and forecast, by platform type, 2018 - 2032
  - 5.4.10.4 Market estimates and forecast, by pricing model, 2018 - 2032
  - 5.4.10.5 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 5.4.10.6 Market estimates and forecast, by end-use, 2018 - 2032
- 5.4.11 South Korea
  - 5.4.11.1 Market estimates and forecast, 2018 - 2032
  - 5.4.11.2 Market estimates and forecast, by services, 2018 - 2032
  - 5.4.11.3 Market estimates and forecast, by platform type, 2018 - 2032
  - 5.4.11.4 Market estimates and forecast, by pricing model, 2018 - 2032
  - 5.4.11.5 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 5.4.11.6 Market estimates and forecast, by end-use, 2018 - 2032
- 5.4.12 ANZ
  - 5.4.12.1 Market estimates and forecast, 2018 - 2032
  - 5.4.12.2 Market estimates and forecast, by services, 2018 - 2032
  - 5.4.12.3 Market estimates and forecast, by platform type, 2018 - 2032
  - 5.4.12.4 Market estimates and forecast, by pricing model, 2018 - 2032
  - 5.4.12.5 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 5.4.12.6 Market estimates and forecast, by end-use, 2018 - 2032
5.5 Latin America
- 5.5.1 Market estimates and forecast, 2018 - 2032
- 5.5.2 Market estimates and forecast, by services, 2018 - 2032
- 5.5.3 Market estimates and forecast, by platform type, 2018 - 2032
- 5.5.4 Market estimates and forecast, by pricing model, 2018 - 2032
- 5.5.5 Market estimates and forecast, by enterprise size, 2018 - 2032
- 5.5.6 Market estimates and forecast, by end-use, 2018 - 2032
- 5.5.7 Brazil
  - 5.5.7.1 Market estimates and forecast, 2018 - 2032
  - 5.5.7.2 Market estimates and forecast, by services, 2018 - 2032
  - 5.5.7.3 Market estimates and forecast, by platform type, 2018 - 2032
  - 5.5.7.4 Market estimates and forecast, by pricing model, 2018 - 2032
  - 5.5.7.5 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 5.5.7.6 Market estimates and forecast, by end-use, 2018 - 2032
- 5.5.8 Mexico
  - 5.5.8.1 Market estimates and forecast, 2018 - 2032
  - 5.5.8.2 Market estimates and forecast, by services, 2018 - 2032
  - 5.5.8.3 Market estimates and forecast, by platform type, 2018 - 2032
  - 5.5.8.4 Market estimates and forecast, by pricing model, 2018 - 2032
  - 5.5.8.5 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 5.5.8.6 Market estimates and forecast, by end-use, 2018 - 2032
5.6 MEA
- 5.6.1 Market estimates and forecast, 2018 - 2032
- 5.6.2 Market estimates and forecast, by services, 2018 - 2032
- 5.6.3 Market estimates and forecast, by platform type, 2018 - 2032
- 5.6.4 Market estimates and forecast, by pricing model, 2018 - 2032
- 5.6.5 Market estimates and forecast, by enterprise size, 2018 - 2032
- 5.6.6 Market estimates and forecast, by end-use, 2018 - 2032
- 5.6.7 South Africa
  - 5.6.7.1 Market estimates and forecast, 2018 - 2032
  - 5.6.7.2 Market estimates and forecast, by services, 2018 - 2032
  - 5.6.7.3 Market estimates and forecast, by platform type, 2018 - 2032
  - 5.6.7.4 Market estimates and forecast, by pricing model, 2018 - 2032
  - 5.6.7.5 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 5.6.7.6 Market estimates and forecast, by end-use, 2018 - 2032
- 5.6.8 Saudi Arabia
  - 5.6.8.1 Market estimates and forecast, 2018 - 2032
  - 5.6.8.2 Market estimates and forecast, by services, 2018 - 2032
  - 5.6.8.3 Market estimates and forecast, by platform type, 2018 - 2032
  - 5.6.8.4 Market estimates and forecast, by pricing model, 2018 - 2032
  - 5.6.8.5 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 5.6.8.6 Market estimates and forecast, by end-use, 2018 - 2032
- 5.6.9 UAE
  - 5.6.9.1 Market estimates and forecast, 2018 - 2032
  - 5.6.9.2 Market estimates and forecast, by services, 2018 - 2032
  - 5.6.9.3 Market estimates and forecast, by platform type, 2018 - 2032
  - 5.6.9.4 Market estimates and forecast, by pricing model, 2018 - 2032
  - 5.6.9.5 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 5.6.9.6 Market estimates and forecast, by end-use, 2018 - 2032

Chapter 11 Company Profiles

6.1 Amazon.Com, Inc.
- 6.1.1 Business Overview
- 6.1.2 Financial Data
- 6.1.3 Services Landscape
- 6.1.4 Strategic Outlook
- 6.1.5 SWOT Analysis
6.2 BlueFocus
- 6.2.1 Business Overview
- 6.2.2 Financial Data
- 6.2.3 Services Landscape
- 6.2.4 Strategic Outlook
- 6.2.5 SWOT Analysis
6.3 Google LLC
- 6.3.1 Business Overview
- 6.3.2 Financial Data
- 6.3.3 Services Landscape
- 6.3.4 Strategic Outlook
- 6.3.5 SWOT Analysis
6.4 Hulu LLC
- 6.4.1 Business Overview
- 6.4.2 Financial Data
- 6.4.3 Services Landscape
- 6.4.4 Strategic Outlook
- 6.4.5 SWOT Analysis
6.5 ibex Limited
- 6.5.1 Business Overview
- 6.5.2 Financial Data
- 6.5.3 Services Landscape
- 6.5.4 Strategic Outlook
- 6.5.5 SWOT Analysis
6.6 Ignite Visibility
- 6.6.1 Business Overview
- 6.6.2 Financial Data
- 6.6.3 Services Landscape
- 6.6.4 Strategic Outlook
- 6.6.5 SWOT Analysis
6.7 Jives Media
- 6.7.1 Business Overview
- 6.7.2 Financial Data
- 6.7.3 Services Landscape
- 6.7.4 Strategic Outlook
- 6.7.5 SWOT Analysis
6.8 Meta
- 6.8.1 Business Overview
- 6.8.2 Financial Data
- 6.8.3 Services Landscape
- 6.8.4 Strategic Outlook
- 6.8.5 SWOT Analysis
6.9 Microsoft
- 6.9.1 Business Overview
- 6.9.2 Financial Data
- 6.9.3 Services Landscape
- 6.9.4 Strategic Outlook
- 6.9.5 SWOT Analysis
6.10 Omnicom Group Inc.
- 6.10.1 Business Overview
- 6.10.2 Financial Data
- 6.10.3 Services Landscape
- 6.10.4 Strategic Outlook
- 6.10.5 SWOT Analysis
6.11 Outfront Media Ltd.
- 6.11.1 Business Overview
- 6.11.2 Financial Data
- 6.11.3 Services Landscape
- 6.11.4 Strategic Outlook
- 6.11.5 SWOT Analysis
6.12 The Weather Company (IBM)
- 6.12.1 Business Overview
- 6.12.2 Financial Data
- 6.12.3 Services Landscape
- 6.12.4 Strategic Outlook
- 6.12.5 SWOT Analysis
6.13 Twitter, Inc.
- 6.13.1 Business Overview
- 6.13.2 Financial Data
- 6.13.3 Services Landscape
- 6.13.4 Strategic Outlook
- 6.13.5 SWOT Analysis
6.14 VaynerMedia
- 6.14.1 Business Overview
- 6.14.2 Financial Data
- 6.14.3 Services Landscape
- 6.14.4 Strategic Outlook
- 6.14.5 SWOT Analysis
6.15 WebFX
- 6.15.1 Business Overview
- 6.15.2 Financial Data
- 6.15.3 Services Landscape
- 6.15.4 Strategic Outlook
- 6.15.5 SWOT Analysis