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Global Smart Advertising Services Market to reach USD 1918.26 billion by the end of 2030.

Global Smart Advertising Services Market Size study & Forecast, by Service Type (Email Advertising, Video Advertising, Search Engine Advertising, Mobile Advertising, Social Media Advertising, Online Display Advertising, Others), by Platform Type (Mobile, Laptops, Desktops & Tablets, Others), by Pricing Model (Cost Per Mille (CPM), Performance Based Advertising, Hybrid), by Enterprise Size (Large Enterprises, SMEs), by End-user (Media & Entertainment, BFSI, Education, Retail & Consumer Goods, IT & Telecom, Healthcare, Others) and Regional Analysis, 2023-2030

Product Code: BFCS-82654794
Publish Date: 20-05-2023
Page: 200

Global Smart Advertising Services Market is valued at approximately USD 431.53 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 20.50% over the forecast period 2023-2030. Smart Advertising Services Market refers to the market for digital advertising services that utilize artificial intelligence (AI), machine learning (ML), and other advanced technologies to deliver more targeted and personalized ads to consumers. These services help advertisers to reach their target audience more effectively and efficiently, while also providing consumers with more relevant and engaging ads. The major driving factors for the Global Smart Advertising Services Market are the increasing adoption of digital advertising and advancements in AI and ML technologies. Moreover, the growing popularity of mobile devices and increasing demand for programmatic advertising is creating lucrative growth opportunities for the market over the forecast period 2023-2030.

With the increasing use of mobile devices, advertisers are looking for ways to reach consumers on the go. Smart advertising services provide mobile-specific ad formats and targeting capabilities that help advertisers to reach consumers on their mobile devices. According to Statista, the number of smartphone users worldwide reached 3.8 billion in 2021, up from 3.5 billion in 2020. Similarly, in 2020, mobile devices accounted for 50.81% of website traffic worldwide, compared to desktop devices which accounted for 45.06%, according to Statcounter a web analytics company. However, the high cost of Smart Advertising Services stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Smart Advertising Services Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. The North American market is expected to dominate the Global Smart Advertising Services Market due to the high adoption rate of smart advertising services, the presence of several key players in the region, and the high internet penetration rate. The US and Canada are the major contributors to the North American market. The Asia-Pacific market is expected to grow rapidly due to the increasing adoption of mobile devices, the growing popularity of e-commerce, and the rising internet penetration rate. China, India, Japan, and South Korea are the major contributors to the Asia-Pacific market.

Major market player included in this report are:
Google LLC
Omnicom Group Inc.
ibex Limited
Interpublic Group of Companies, Inc.
Twitter, Inc.
Hulu LLC

Recent Developments in the Market:
Ø The National Football League (NFL) announced in December 2022 that its Sunday Ticket subscription package would be made available on YouTube TV starting the following season. This marked the NFL’s second media rights agreement with a streaming service. The partnership was seen as a significant opportunity for YouTube to expand its presence in the highly competitive streaming market.

Global Smart Advertising Services Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Service Type, Platform Type, Pricing Model, Enterprise Size, End user, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and Service Type offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Service Type:
Email Advertising
Video Advertising
Search Engine Advertising
Mobile Advertising
Social Media Advertising
Online Display Advertising
By Platform Type:
Laptops, Desktops & Tablets
By Pricing Model:
Cost Per Mille (CPM)
Performance Based Advertising
By Enterprise Size:
Large Enterprises
By End user:
Media & Entertainment
Retail & Consumer Goods
IT & Telecom

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Smart Advertising Services Market, by Region, 2020-2030 (USD Billion)
1.2.2. Smart Advertising Services Market, by Service Type, 2020-2030 (USD Billion)
1.2.3. Smart Advertising Services Market, by Platform Type, 2020-2030 (USD Billion)
1.2.4. Smart Advertising Services Market, by Pricing Model, 2020-2030 (USD Billion)
1.2.5. Smart Advertising Services Market, by Enterprise Size, 2020-2030 (USD Billion)
1.2.6. Smart Advertising Services Market, by End user, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Smart Advertising Services Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Smart Advertising Services Market Dynamics
3.1. Smart Advertising Services Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Increasing adoption of digital advertising Advancements in AI and ML technologies
3.1.2. Market Challenges High Cost of Smart Advertising Services
3.1.3. Market Opportunities Growing popularity of mobile devices Increasing demand for programmatic advertising
Chapter 4. Global Smart Advertising Services Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Smart Advertising Services Market, by Service Type
5.1. Market Snapshot
5.2. Global Smart Advertising Services Market by Service Type, Performance – Potential Analysis
5.3. Global Smart Advertising Services Market Estimates & Forecasts by Service Type 2020-2030 (USD Billion)
5.4. Smart Advertising Services Market, Sub Segment Analysis
5.4.1. Email Advertising
5.4.2. Video Advertising
5.4.3. Search Engine Advertising
5.4.4. Mobile Advertising
5.4.5. Social Media Advertising
5.4.6. Online Display Advertising
5.4.7. Others
Chapter 6. Global Smart Advertising Services Market, by Platform Type
6.1. Market Snapshot
6.2. Global Smart Advertising Services Market by Platform Type, Performance – Potential Analysis
6.3. Global Smart Advertising Services Market Estimates & Forecasts by Platform Type 2020-2030 (USD Billion)
6.4. Smart Advertising Services Market, Sub Segment Analysis
6.4.1. Mobile
6.4.2. Laptops, Desktops & Tablets
6.4.3. Others
Chapter 7. Global Smart Advertising Services Market, by Pricing Model
7.1. Market Snapshot
7.2. Global Smart Advertising Services Market by Pricing Model, Performance – Potential Analysis
7.3. Global Smart Advertising Services Market Estimates & Forecasts by Pricing Model 2020-2030 (USD Billion)
7.4. Smart Advertising Services Market, Sub Segment Analysis
7.4.1. Cost Per Mille (CPM)
7.4.2. Performance Based Advertising
7.4.3. Hybrid
Chapter 8. Global Smart Advertising Services Market, by Enterprise Size
8.1. Market Snapshot
8.2. Global Smart Advertising Services Market by Enterprise Size, Performance – Potential Analysis
8.3. Global Smart Advertising Services Market Estimates & Forecasts by Enterprise Size 2020-2030 (USD Billion)
8.4. Smart Advertising Services Market, Sub Segment Analysis
8.4.1. Large Enterprises
8.4.2. SMEs
Chapter 9. Global Smart Advertising Services Market, by End user
9.1. Market Snapshot
9.2. Global Smart Advertising Services Market by End user, Performance – Potential Analysis
9.3. Global Smart Advertising Services Market Estimates & Forecasts by End user2020-2030 (USD Billion)
9.4. Smart Advertising Services Market, Sub Segment Analysis
9.4.1. Media & Entertainment
9.4.2. BFSI
9.4.3. Education
9.4.4. Retail & Consumer Goods
9.4.5. IT & Telecom
9.4.6. Healthcare
9.4.7. Others
Chapter 10. Global Smart Advertising Services Market, Regional Analysis
10.1. Top Leading Countries
10.2. Top Emerging Countries
10.3. Smart Advertising Services Market, Regional Market Snapshot
10.4. North America Smart Advertising Services Market
10.4.1. U.S. Smart Advertising Services Market Service Type breakdown estimates & forecasts, 2020-2030 Platform Type breakdown estimates & forecasts, 2020-2030 Pricing Model breakdown estimates & forecasts, 2020-2030 Enterprise Size breakdown estimates & forecasts, 2020-2030 End user breakdown estimates & forecasts, 2020-2030
10.4.2. Canada Smart Advertising Services Market
10.5. Europe Smart Advertising Services Market Snapshot
10.5.1. U.K. Smart Advertising Services Market
10.5.2. Germany Smart Advertising Services Market
10.5.3. France Smart Advertising Services Market
10.5.4. Spain Smart Advertising Services Market
10.5.5. Italy Smart Advertising Services Market
10.5.6. Rest of Europe Smart Advertising Services Market
10.6. Asia-Pacific Smart Advertising Services Market Snapshot
10.6.1. China Smart Advertising Services Market
10.6.2. India Smart Advertising Services Market
10.6.3. Japan Smart Advertising Services Market
10.6.4. Australia Smart Advertising Services Market
10.6.5. South Korea Smart Advertising Services Market
10.6.6. Rest of Asia Pacific Smart Advertising Services Market
10.7. Latin America Smart Advertising Services Market Snapshot
10.7.1. Brazil Smart Advertising Services Market
10.7.2. Mexico Smart Advertising Services Market
10.8. Middle East & Africa Smart Advertising Services Market
10.8.1. Saudi Arabia Smart Advertising Services Market
10.8.2. South Africa Smart Advertising Services Market
10.8.3. Rest of Middle East & Africa Smart Advertising Services Market

Chapter 11. Competitive Intelligence
11.1. Key Company SWOT Analysis
11.1.1. Company 1
11.1.2. Company 2
11.1.3. Company 3
11.2. Top Market Strategies
11.3. Company Profiles
11.3.1. YouTube Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
11.3.2. Meta
11.3.3. Google LLC
11.3.4. VaynerMedia
11.3.5. Omnicom Group Inc.
11.3.6. ibex Limited
11.3.7. Interpublic Group of Companies, Inc.
11.3.8. Twitter, Inc.
11.3.9. TikTok
11.3.10. Hulu LLC
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
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Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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