| Market Size 2024 (Base Year) | USD 397.18 Billion |
| Market Size 2032 (Forecast Year) | USD 7841.23 Billion |
| CAGR | 38.7% |
| Forecast Period | 2025 - 2032 |
| Historical Period | 2020 - 2024 |
According to a recent study by Market Research Store, the global artificial intelligence (AI) market size was valued at approximately USD 397.18 Billion in 2024. The market is projected to grow significantly, reaching USD 7841.23 Billion by 2032, growing at a compound annual growth rate (CAGR) of 38.7% during the forecast period from 2024 to 2032. The report highlights key growth drivers such as rising demand, technological advancements, and expanding applications. It also outlines potential challenges like regulatory changes and market competition, while emphasizing emerging opportunities for innovation and investment in the artificial intelligence (AI) industry.
The growth of the artificial intelligence (AI) market is fueled by rising global demand across various industries and applications. The report highlights lucrative opportunities, analyzing cost structures, key segments, emerging trends, regional dynamics, and advancements by leading players to provide comprehensive market insights. The artificial intelligence (AI) market report offers a detailed industry analysis from 2024 to 2032, combining quantitative and qualitative insights. It examines key factors such as pricing, market penetration, GDP impact, industry dynamics, major players, consumer behavior, and socio-economic conditions. Structured into multiple sections, the report provides a comprehensive perspective on the market from all angles.
Key sections of the artificial intelligence (AI) market report include market segments, outlook, competitive landscape, and company profiles. Market Segments offer in-depth details based on Products, Applications, and other relevant classifications to support strategic marketing initiatives. Market Outlook thoroughly analyzes market trends, growth drivers, restraints, opportunities, challenges, Porter’s Five Forces framework, macroeconomic factors, value chain analysis, and pricing trends shaping the market now and in the future. The Competitive Landscape and Company Profiles section highlights major players, their strategies, and market positioning to guide investment and business decisions. The report also identifies innovation trends, new business opportunities, and investment prospects for the forecast period.
This report thoroughly analyzes the artificial intelligence (AI) market, exploring its historical trends, current state, and future projections. The market estimates presented result from a robust research methodology, incorporating primary research, secondary sources, and expert opinions. These estimates are influenced by the prevailing market dynamics as well as key economic, social, and political factors. Furthermore, the report considers the impact of regulations, government expenditures, and advancements in research and development on the market. Both positive and negative shifts are evaluated to ensure a comprehensive and accurate market outlook.
| Report Attributes | Report Details |
|---|---|
| Report Name | Artificial Intelligence (AI) Market |
| Market Size in 2024 | USD 397.18 Billion |
| Market Forecast in 2032 | USD 7841.23 Billion |
| Growth Rate | CAGR of 38.7% |
| Number of Pages | 217 |
| Key Companies Covered | Persado (US), Albert Technologies (Israel), Appier (US), Samsung Electronics (Korea), Narrative Science (US), Sentient Technologies (US), GumGum (US), Amazon (US), Twitter (US), Intel (US), Salesforce (US), Microsoft (US), InsideSales (US), Xilinx (US), Zensed (Sweden), Alphabet (US), Drawbridge (US), Mariana (US), Oculus360 (US), IBM (US), NVIDIA (US), Facebook (US), Micron (US), Baidu (China), Oracle (US) |
| Segments Covered | By Products, By Applications, and By Region |
| Regions Covered | North America, Europe, Asia Pacific (APAC), Latin America, Middle East, and Africa (MEA) |
| Base Year | 2024 |
| Historical Year | 2020 to 2024 |
| Forecast Year | 2025 to 2032 |
| Customization Scope | Avail customized purchase options to meet your exact research needs. Request For Customization |
Key Growth Drivers
The primary growth driver for the AI market is the explosion of big data and the increasing computational power available through cloud computing and advanced hardware (like GPUs). Vast datasets provide the necessary fuel for training complex AI models, while accessible and scalable computing resources make it feasible to run and deploy these models. The accelerated pace of digital transformation across industries is also a major catalyst, as businesses seek to leverage AI to enhance efficiency, automate routine tasks, optimize operations, and gain a competitive edge. Furthermore, the growing demand for personalized customer experiences, predictive analytics, and enhanced decision-making in sectors ranging from healthcare and finance to retail and manufacturing, is pushing organizations to adopt AI solutions to derive actionable insights and improve outcomes.
Restraints
Despite its immense potential, the AI market faces several significant restraints. High implementation costs and complex integration challenges with existing legacy systems can be a major barrier for many organizations, requiring substantial investment in infrastructure, talent, and change management. Concerns around data privacy, security, and ethical implications of AI are paramount, including issues like algorithmic bias, lack of transparency (black box problem), and potential job displacement. These concerns can lead to public mistrust and regulatory hurdles. The shortage of skilled AI professionals and data scientists capable of developing, deploying, and maintaining sophisticated AI systems also limits the pace of adoption and innovation. Additionally, the quality and availability of sufficient, unbiased training data remain a critical bottleneck, as flawed data can lead to inaccurate or unfair AI outcomes.
Opportunities
Significant opportunities abound in the AI market, driven by continuous technological breakthroughs and expanding application areas. The rise of Generative AI (e.g., large language models, image generation) presents vast opportunities for content creation, personalized experiences, software development, and new forms of human-computer interaction, opening up entirely new markets. The democratization of AI through low-code/no-code platforms and AI-as-a-Service (AIaaS) offerings allows a broader range of users, including citizen developers, to leverage AI without deep technical expertise, accelerating adoption across various business functions. The expansion of AI into edge computing enables real-time processing and decision-making closer to the data source, critical for IoT devices, autonomous vehicles, and industrial automation. Furthermore, the increasing focus on explainable AI (XAI) and responsible AI development creates opportunities for building more transparent, trustworthy, and auditable AI systems.
Challenges
The AI market also confronts notable challenges. Navigating the complex and evolving regulatory landscape is a significant hurdle, as governments globally grapple with establishing frameworks for AI governance, liability, and ethical use (e.g., EU AI Act). The potential for job displacement and the need for workforce reskilling due to AI-driven automation presents a societal and economic challenge that requires proactive policy and educational initiatives. Ensuring the robust security of AI models and the data they process against adversarial attacks, data poisoning, and intellectual property theft is a continuous and complex battle. Finally, managing public perception and addressing societal concerns regarding AI's impact on privacy, ethics, and control is crucial for widespread acceptance and sustained growth, requiring ongoing dialogue and transparent communication from developers and policymakers.
The global artificial intelligence (AI) market is segmented based on Products, Applications, and Region. All the segments of the artificial intelligence (AI) market have been analyzed based on present & future trends and the market is estimated from 2024 to 2032.
Based on Products, the global artificial intelligence (AI) market is divided into Hardware, Software, Services.
On the basis of Applications, the global artificial intelligence (AI) market is bifurcated into Social Media Advertising, Search Advertising, Dynamic Pricing, Virtual Assistant, Content Curation, Sales & Marketing Automation, Analytics Platform, Others.
The North American region, led by the United States, dominates the global Artificial Intelligence (AI) market, holding the largest revenue share due to its advanced technological infrastructure, strong venture capital investments, and concentration of leading AI firms like Google, Microsoft, and OpenAI. According to recent market reports (2023–2024), North America accounted for over 42% of the global AI market, driven by rapid adoption across healthcare, finance, and autonomous systems.
The Asia-Pacific (APAC) region, spearheaded by China, Japan, and South Korea, is the fastest-growing market, fueled by government AI initiatives and industrial automation. Europe follows, with strong AI regulations and innovation hubs in the UK and Germany. North America’s leadership is reinforced by robust R&D, cloud computing advancements, and widespread AI integration across enterprises.
The artificial intelligence (AI) market report offers a thorough analysis of both established and emerging players within the market. It includes a detailed list of key companies, categorized based on the types of products they offer and other relevant factors. The report also highlights the market entry year for each player, providing further context for the research analysis.
The "Global Artificial Intelligence (AI) Market" study offers valuable insights, focusing on the global market landscape, with an emphasis on major industry players such as;
By Products
By Applications
By Region
Table of Content 1 Report Overview 1.1 Study Scope 1.2 Key Market Segments 1.3 Regulatory Scenario by Region/Country 1.4 Market Investment Scenario Strategic 1.5 Market Analysis by Type 1.5.1 Global Artificial Intelligence in Marketing Market Share by Type (2020-2026) 1.5.2 Hardware 1.5.3 Software 1.5.4 Services 1.6 Market by Application 1.6.1 Global Artificial Intelligence in Marketing Market Share by Application (2020-2026) 1.6.2 Social Media Advertising 1.6.3 Search Advertising 1.6.4 Dynamic Pricing 1.6.5 Virtual Assistant 1.6.6 Content Curation 1.6.7 Sales & Marketing Automation 1.6.8 Analytics Platform 1.6.9 Others 1.7 Artificial Intelligence in Marketing Industry Development Trends under COVID-19 Outbreak 1.7.1 Global COVID-19 Status Overview 1.7.2 Influence of COVID-19 Outbreak on Artificial Intelligence in Marketing Industry Development 2. Global Market Growth Trends 2.1 Industry Trends 2.1.1 SWOT Analysis 2.1.2 Porter’s Five Forces Analysis 2.2 Potential Market and Growth Potential Analysis 2.3 Industry News and Policies by Regions 2.3.1 Industry News 2.3.2 Industry Policies 2.4 Industry Trends Under COVID-19 3 Value Chain of Artificial Intelligence in Marketing Market 3.1 Value Chain Status 3.2 Artificial Intelligence in Marketing Manufacturing Cost Structure Analysis 3.2.1 Production Process Analysis 3.2.2 Manufacturing Cost Structure of Artificial Intelligence in Marketing 3.2.3 Labor Cost of Artificial Intelligence in Marketing 3.2.3.1 Labor Cost of Artificial Intelligence in Marketing Under COVID-19 3.3 Sales and Marketing Model Analysis 3.4 Downstream Major Customer Analysis (by Region) 3.5 Value Chain Status Under COVID-19 4 Players Profiles 4.1 Persado (US) 4.1.1 Persado (US) Basic Information 4.1.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.1.3 Persado (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.1.4 Persado (US) Business Overview 4.2 Albert Technologies (Israel) 4.2.1 Albert Technologies (Israel) Basic Information 4.2.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.2.3 Albert Technologies (Israel) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.2.4 Albert Technologies (Israel) Business Overview 4.3 Appier (US) 4.3.1 Appier (US) Basic Information 4.3.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.3.3 Appier (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.3.4 Appier (US) Business Overview 4.4 Samsung Electronics (Korea) 4.4.1 Samsung Electronics (Korea) Basic Information 4.4.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.4.3 Samsung Electronics (Korea) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.4.4 Samsung Electronics (Korea) Business Overview 4.5 Narrative Science (US) 4.5.1 Narrative Science (US) Basic Information 4.5.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.5.3 Narrative Science (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.5.4 Narrative Science (US) Business Overview 4.6 Sentient Technologies (US) 4.6.1 Sentient Technologies (US) Basic Information 4.6.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.6.3 Sentient Technologies (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.6.4 Sentient Technologies (US) Business Overview 4.7 GumGum (US) 4.7.1 GumGum (US) Basic Information 4.7.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.7.3 GumGum (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.7.4 GumGum (US) Business Overview 4.8 Amazon (US) 4.8.1 Amazon (US) Basic Information 4.8.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.8.3 Amazon (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.8.4 Amazon (US) Business Overview 4.9 Twitter (US) 4.9.1 Twitter (US) Basic Information 4.9.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.9.3 Twitter (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.9.4 Twitter (US) Business Overview 4.10 Intel (US) 4.10.1 Intel (US) Basic Information 4.10.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.10.3 Intel (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.10.4 Intel (US) Business Overview 4.11 Salesforce (US) 4.11.1 Salesforce (US) Basic Information 4.11.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.11.3 Salesforce (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.11.4 Salesforce (US) Business Overview 4.12 Microsoft (US) 4.12.1 Microsoft (US) Basic Information 4.12.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.12.3 Microsoft (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.12.4 Microsoft (US) Business Overview 4.13 InsideSales (US) 4.13.1 InsideSales (US) Basic Information 4.13.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.13.3 InsideSales (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.13.4 InsideSales (US) Business Overview 4.14 Xilinx (US) 4.14.1 Xilinx (US) Basic Information 4.14.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.14.3 Xilinx (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.14.4 Xilinx (US) Business Overview 4.15 Zensed (Sweden) 4.15.1 Zensed (Sweden) Basic Information 4.15.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.15.3 Zensed (Sweden) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.15.4 Zensed (Sweden) Business Overview 4.16 Alphabet (US) 4.16.1 Alphabet (US) Basic Information 4.16.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.16.3 Alphabet (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.16.4 Alphabet (US) Business Overview 4.17 Drawbridge (US) 4.17.1 Drawbridge (US) Basic Information 4.17.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.17.3 Drawbridge (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.17.4 Drawbridge (US) Business Overview 4.18 Mariana (US) 4.18.1 Mariana (US) Basic Information 4.18.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.18.3 Mariana (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.18.4 Mariana (US) Business Overview 4.19 Oculus360 (US) 4.19.1 Oculus360 (US) Basic Information 4.19.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.19.3 Oculus360 (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.19.4 Oculus360 (US) Business Overview 4.20 IBM (US) 4.20.1 IBM (US) Basic Information 4.20.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.20.3 IBM (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.20.4 IBM (US) Business Overview 4.21 NVIDIA (US) 4.21.1 NVIDIA (US) Basic Information 4.21.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.21.3 NVIDIA (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.21.4 NVIDIA (US) Business Overview 4.22 Facebook (US) 4.22.1 Facebook (US) Basic Information 4.22.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.22.3 Facebook (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.22.4 Facebook (US) Business Overview 4.23 Micron (US) 4.23.1 Micron (US) Basic Information 4.23.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.23.3 Micron (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.23.4 Micron (US) Business Overview 4.24 Baidu (China) 4.24.1 Baidu (China) Basic Information 4.24.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.24.3 Baidu (China) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.24.4 Baidu (China) Business Overview 4.25 Oracle (US) 4.25.1 Oracle (US) Basic Information 4.25.2 Artificial Intelligence in Marketing Product Profiles, Application and Specification 4.25.3 Oracle (US) Artificial Intelligence in Marketing Market Performance (2015-2020) 4.25.4 Oracle (US) Business Overview 5 Global Artificial Intelligence in Marketing Market Analysis by Regions 5.1 Global Artificial Intelligence in Marketing Sales, Revenue and Market Share by Regions 5.1.1 Global Artificial Intelligence in Marketing Sales by Regions (2015-2020) 5.1.2 Global Artificial Intelligence in Marketing Revenue by Regions (2015-2020) 5.2 North America Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 5.3 Europe Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 5.4 Asia-Pacific Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 5.5 Middle East and Africa Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 5.6 South America Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 6 North America Artificial Intelligence in Marketing Market Analysis by Countries 6.1 North America Artificial Intelligence in Marketing Sales, Revenue and Market Share by Countries 6.1.1 North America Artificial Intelligence in Marketing Sales by Countries (2015-2020) 6.1.2 North America Artificial Intelligence in Marketing Revenue by Countries (2015-2020) 6.1.3 North America Artificial Intelligence in Marketing Market Under COVID-19 6.2 United States Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 6.2.1 United States Artificial Intelligence in Marketing Market Under COVID-19 6.3 Canada Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 6.4 Mexico Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 7 Europe Artificial Intelligence in Marketing Market Analysis by Countries 7.1 Europe Artificial Intelligence in Marketing Sales, Revenue and Market Share by Countries 7.1.1 Europe Artificial Intelligence in Marketing Sales by Countries (2015-2020) 7.1.2 Europe Artificial Intelligence in Marketing Revenue by Countries (2015-2020) 7.1.3 Europe Artificial Intelligence in Marketing Market Under COVID-19 7.2 Germany Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 7.2.1 Germany Artificial Intelligence in Marketing Market Under COVID-19 7.3 UK Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 7.3.1 UK Artificial Intelligence in Marketing Market Under COVID-19 7.4 France Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 7.4.1 France Artificial Intelligence in Marketing Market Under COVID-19 7.5 Italy Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 7.5.1 Italy Artificial Intelligence in Marketing Market Under COVID-19 7.6 Spain Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 7.6.1 Spain Artificial Intelligence in Marketing Market Under COVID-19 7.7 Russia Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 7.7.1 Russia Artificial Intelligence in Marketing Market Under COVID-19 8 Asia-Pacific Artificial Intelligence in Marketing Market Analysis by Countries 8.1 Asia-Pacific Artificial Intelligence in Marketing Sales, Revenue and Market Share by Countries 8.1.1 Asia-Pacific Artificial Intelligence in Marketing Sales by Countries (2015-2020) 8.1.2 Asia-Pacific Artificial Intelligence in Marketing Revenue by Countries (2015-2020) 8.1.3 Asia-Pacific Artificial Intelligence in Marketing Market Under COVID-19 8.2 China Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 8.2.1 China Artificial Intelligence in Marketing Market Under COVID-19 8.3 Japan Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 8.3.1 Japan Artificial Intelligence in Marketing Market Under COVID-19 8.4 South Korea Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 8.4.1 South Korea Artificial Intelligence in Marketing Market Under COVID-19 8.5 Australia Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 8.6 India Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 8.6.1 India Artificial Intelligence in Marketing Market Under COVID-19 8.7 Southeast Asia Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 8.7.1 Southeast Asia Artificial Intelligence in Marketing Market Under COVID-19 9 Middle East and Africa Artificial Intelligence in Marketing Market Analysis by Countries 9.1 Middle East and Africa Artificial Intelligence in Marketing Sales, Revenue and Market Share by Countries 9.1.1 Middle East and Africa Artificial Intelligence in Marketing Sales by Countries (2015-2020) 9.1.2 Middle East and Africa Artificial Intelligence in Marketing Revenue by Countries (2015-2020) 9.1.3 Middle East and Africa Artificial Intelligence in Marketing Market Under COVID-19 9.2 Saudi Arabia Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 9.3 UAE Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 9.4 Egypt Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 9.5 Nigeria Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 9.6 South Africa Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 10 South America Artificial Intelligence in Marketing Market Analysis by Countries 10.1 South America Artificial Intelligence in Marketing Sales, Revenue and Market Share by Countries 10.1.1 South America Artificial Intelligence in Marketing Sales by Countries (2015-2020) 10.1.2 South America Artificial Intelligence in Marketing Revenue by Countries (2015-2020) 10.1.3 South America Artificial Intelligence in Marketing Market Under COVID-19 10.2 Brazil Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 10.2.1 Brazil Artificial Intelligence in Marketing Market Under COVID-19 10.3 Argentina Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 10.4 Columbia Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 10.5 Chile Artificial Intelligence in Marketing Sales and Growth Rate (2015-2020) 11 Global Artificial Intelligence in Marketing Market Segment by Types 11.1 Global Artificial Intelligence in Marketing Sales, Revenue and Market Share by Types (2015-2020) 11.1.1 Global Artificial Intelligence in Marketing Sales and Market Share by Types (2015-2020) 11.1.2 Global Artificial Intelligence in Marketing Revenue and Market Share by Types (2015-2020) 11.2 Hardware Sales and Price (2015-2020) 11.3 Software Sales and Price (2015-2020) 11.4 Services Sales and Price (2015-2020) 12 Global Artificial Intelligence in Marketing Market Segment by Applications 12.1 Global Artificial Intelligence in Marketing Sales, Revenue and Market Share by Applications (2015-2020) 12.1.1 Global Artificial Intelligence in Marketing Sales and Market Share by Applications (2015-2020) 12.1.2 Global Artificial Intelligence in Marketing Revenue and Market Share by Applications (2015-2020) 12.2 Social Media Advertising Sales, Revenue and Growth Rate (2015-2020) 12.3 Search Advertising Sales, Revenue and Growth Rate (2015-2020) 12.4 Dynamic Pricing Sales, Revenue and Growth Rate (2015-2020) 12.5 Virtual Assistant Sales, Revenue and Growth Rate (2015-2020) 12.6 Content Curation Sales, Revenue and Growth Rate (2015-2020) 12.7 Sales & Marketing Automation Sales, Revenue and Growth Rate (2015-2020) 12.8 Analytics Platform Sales, Revenue and Growth Rate (2015-2020) 12.9 Others Sales, Revenue and Growth Rate (2015-2020) 13 Artificial Intelligence in Marketing Market Forecast by Regions (2020-2026) 13.1 Global Artificial Intelligence in Marketing Sales, Revenue and Growth Rate (2020-2026) 13.2 Artificial Intelligence in Marketing Market Forecast by Regions (2020-2026) 13.2.1 North America Artificial Intelligence in Marketing Market Forecast (2020-2026) 13.2.2 Europe Artificial Intelligence in Marketing Market Forecast (2020-2026) 13.2.3 Asia-Pacific Artificial Intelligence in Marketing Market Forecast (2020-2026) 13.2.4 Middle East and Africa Artificial Intelligence in Marketing Market Forecast (2020-2026) 13.2.5 South America Artificial Intelligence in Marketing Market Forecast (2020-2026) 13.3 Artificial Intelligence in Marketing Market Forecast by Types (2020-2026) 13.4 Artificial Intelligence in Marketing Market Forecast by Applications (2020-2026) 13.5 Artificial Intelligence in Marketing Market Forecast Under COVID-19 14 Appendix 14.1 Methodology 14.2 Research Data Source
Artificial Intelligence (AI)
Artificial Intelligence (AI)
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