Artificial Intelligence (AI) in Marketing Market – Industry Analysis & Forecast (2019-2026) _ by Type, Application, Function, and Geography.

Artificial Intelligence (AI) in Marketing Market – Industry Analysis & Forecast (2019-2026) _ by Type, Application, Function, and Geography.

Market Scenario

Artificial Intelligence (AI) in Marketing Market was valued at USD 5.32 Billion in 2018 and is likely to reach USD 35.10 Billion by 2026, at a CAGR of 26.61% .The base year considered for the study is 2017, and the forecast period is between 2018 and 2026. Global AI in Marketing Market Drivers The growth of the Artificial Intelligence (AI) in Marketing Market is driven by factors such as increasing demand of the digital computation power, data technology, digitization of the industry, cloud based services, and advanced algorithms. Artificial Intelligence marketing techniques increase the efficiency of marketing budget and are more effective than traditional tactics. Early adopters like NVIDIA, Intel, Amazon, IBM, Microsoft, have shown how AI in marketing makes them more efficient, productive and effective by simplifying, accelerating and scaling marketing initiatives while removing many complexities inherent in marketing today. The report study has analyzed revenue impact of covid-19 pandemic on the sales revenue of market leaders, market followers and disrupters in the report and same is reflected in our analysis. AI in marketing market are used to understand customer behavior, individual personalization, and conversational marketing, advertisement, social media image recognition , data filtering and analysis. AI has become increasingly important not only to marketers but to organizations as a whole in order to stay ahead in today’s dynamic market landscape. According to a recent MIT global survey of 600 executives, 9 out of 10 companies already use AI to improve their customer journeys. More importantly, studies show that three quarters of business improve revenue with Artificial intelligence driven marketing. Netflix has projected that its AI-powered personalized recommendations save it $1 billion in revenue annually by avoiding canceled subscriptions via engaging customers with relevant content. Global AI in Marketing Market Restrains: Although AI is set to revolutionize marketing market. But as with most forms of new technology, there are some real limitations. Like cost and maintenance, lack of creativity, continuous supervision, data protection and security issues will hinder the growth of AI in marketing market. The global AI in marketing market is segmented into various segments on the basis of application, technology, deployment, and verticals. By application, the market is segmented into sales forecasting, Artificial generated content, virtual assistance, web and app Personalization, marketing automation. By deployment, the market is segmented into on-cloud and on-premise. By end user industry the market is segmented into BFSI, retail, & e-commerce, government, IT & telecommunication, healthcare, commercial organization, and others. By regional market is segmented into North America, Europe, Asia Pacific, and the rest of the world. North America is expected to hold majority of market due to this region is hot bed for leveraging Artificial intelligence research and development, a strong presence of prominent artificial intelligence software services, also increasing adoption of social media platforms for advertisement and personifications are driving factors for artificial intelligence in market in North America. The objective of the report is to present comprehensive assessment projections with a suitable set of assumptions and methodology. The report helps in understanding Global AI in Marketing Market dynamics, structure by identifying and analyzing the market segments and projecting the global market size. Further, the report also focuses on the competitive analysis of key players by product, price, financial position, growth strategies, and regional presence. To understand the market dynamics and by region, the report has covered the PEST analysis by region and key economies across the globe, which are supposed to have an impact on market in forecast period. PORTER’s analysis, and SVOR analysis of the market as well as detailed SWOT analysis of key players has been done to analyze their strategies. The report will to address all questions of shareholders to prioritize the efforts and investment in the near future to the emerging segment in the Global AI in Marketing Market.

Scope of report

Global AI in Marketing Market, By Deployment type:

• On cloud • On premise

Global AI in Marketing Market, By Application type:

• Social media advertising • Virtual assistant • Marketing automation • Web and app personalization • Propensity modelling • Voice search

Global AI in Marketing Market,By Technology:

• Deep learning • Machine learning • Context Aware computing • Natural language processing • Computer vision

Global AI in Marketing Market, by Region

• North America • Europe • Asia Pacific • Middle East & Africa • South America

Global AI in Marketing Market, By End user industry

• BFSI • Consumer Goods • Media and entertainment • Retail • Others

Global AI in Marketing Market Key Players:

• Google (US) • Amazon (US) • Facebook (US) • IBM (US) • Microsoft (US) • NVIDIA (US) • Twitter (US) • Salesforce (US) • Samsung (South Korea) • Intel (US) • Oracle(US) • Bain and company(US) • McCann • Ogilvy • Albert technologies (Israel) • BAIDU (China) • Accenture • Netflix • Micron tech • Service Now

Table of Contents

Global AI in Marketing Market

1. Preface 1.1. Report Scope and Market Segmentation 1.2. Research Highlights 1.3. Research Objectives 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations 2.3. Research Methodology 2.3.1. Secondary Research 2.3.1.1. Secondary data 2.3.1.2. Secondary Sources 2.3.2. Primary Research 2.3.2.1. Data from Primary Sources 2.3.2.2. Breakdown of Primary Sources 3. Executive Summary: Global AI in Marketing Market, by Market Value (US$ Bn) 4. Market Overview 4.1. Introduction 4.2. Market Indicator 4.2.1. Drivers 4.2.2. Restraints 4.2.3. Opportunities 4.2.4. Challenges 4.3. Porter’s Analysis 4.4. Value Chain Analysis 4.5. Market Risk Analysis 4.6. SWOT Analysis 4.7. Global AI in Marketing Market Industry Trends 4.8. Global AI in Marketing Market Competitive Landscape 5. Supply Side and Demand Side Indicators 6. Global AI in Marketing Market Analysis and Forecast 6.1. Global AI in Marketing Market Size & Y-o-Y Growth Analysis 6.1.1. North America 6.1.2. Europe 6.1.3. Asia Pacific 6.1.4. Middle East & Africa 6.1.5. South America 7. Global AI in Marketing Market Analysis and Forecast, Deployment type 7.1. Introduction and Definition 7.2. Key Findings 7.3. Global AI in Marketing Market Value Share Analysis, Deployment type 7.4. Global AI in Marketing Market Size (US$ Bn) Forecast, Deployment type 7.5. Global AI in Marketing Market Analysis, Deployment type 7.6. Global AI in Marketing Market Attractiveness Analysis, Deployment type 8. Global AI in Marketing Market Analysis and Forecast, by Technology 8.1. Introduction and Definition 8.2. Key Findings 8.3. Global AI in Marketing Market Value Share Analysis, by Technology 8.4. Global AI in Marketing Market Size (US$ Bn) Forecast, by Technology 8.5. Global AI in Marketing Market Analysis, by Technology 8.6. Global AI in Marketing Market Attractiveness Analysis, by Technology 9. Global AI in Marketing Market Analysis and Forecast, by Application 9.1. Introduction and Definition 9.2. Key Findings 9.3. Global AI in Marketing Market Value Share Analysis, by Application 9.4. Global AI in Marketing Market Size (US$ Bn) Forecast, by Application 9.5. Global AI in Marketing Market Analysis, by Application 9.6. Global AI in Marketing Market Attractiveness Analysis, by Application 10. Global AI in Marketing Market Analysis and Forecast, By End user industry 10.1. Introduction and Definition 10.2. Key Findings 10.3. Global AI in Marketing Market Value Share Analysis, By End user industry 10.4. Global AI in Marketing Market Size (US$ Bn) Forecast, By End user industry 10.5. Global AI in Marketing Market Analysis, By End user industry 10.6. Global AI in Marketing Market Attractiveness Analysis, By End user industry 11. Global AI in Marketing Market Analysis, by Region 11.1. Global AI in Marketing Market Value Share Analysis, by Region 11.2. Global AI in Marketing Market Size (US$ Bn) Forecast, by Region 11.3. Global AI in Marketing Market Attractiveness Analysis, by Region 12. North America AI in Marketing Market Analysis 12.1. Key Findings 12.2. North America AI in Marketing Market Overview 12.3. North America AI in Marketing Market Value Share Analysis, Deployment type 12.4. North America AI in Marketing Market Forecast, Deployment type 12.4.1. On cloud 12.4.2. On premise 12.5. North America AI in Marketing Market Value Share Analysis, by Technology 12.6. North America AI in Marketing Market Forecast, by Technology 12.6.1. Deep learning 12.6.2. Machine learning 12.6.3. Context Aware computing 12.6.4. Natural language processing 12.6.5. Computer vision 12.7. North America AI in Marketing Market Value Share Analysis, by Application 12.8. North America AI in Marketing Market Forecast, by Application 12.8.1. Social media advertising 12.8.2. Virtual assistant 12.8.3. Marketing automation 12.8.4. Web and app personalization 12.8.5. Propensity modelling 12.8.6. Voice search 12.9. North America AI in Marketing Market Value Share Analysis, By End user industry 12.10. North America AI in Marketing Market Forecast, By End user industry 12.10.1. BFSI 12.10.2. Consumer Goods 12.10.3. Media and entertainment 12.10.4. Retail 12.10.5. Others 12.11. North America AI in Marketing Market Value Share Analysis, by Country 12.12. North America AI in Marketing Market Forecast, by Country 12.12.1. U.S. 12.12.2. Canada 12.13. North America AI in Marketing Market Analysis, by Country 12.14. U.S. AI in Marketing Market Forecast, Deployment type 12.14.1. On cloud 12.14.2. On premise 12.15. U.S. AI in Marketing Market Forecast, by Technology 12.15.1. Deep learning 12.15.2. Machine learning 12.15.3. Context Aware computing 12.15.4. Natural language processing 12.15.5. Computer vision 12.16. U.S. AI in Marketing Market Forecast, by Application 12.16.1. Social media advertising 12.16.2. Virtual assistant 12.16.3. Marketing automation 12.16.4. Web and app personalization 12.16.5. Propensity modelling 12.16.6. Voice search 12.17. U.S. AI in Marketing Market Forecast, By End user industry 12.17.1. BFSI 12.17.2. Consumer Goods 12.17.3. Media and entertainment 12.17.4. Retail 12.17.5. Others 12.18. Canada AI in Marketing Market Forecast, Deployment type 12.18.1. On cloud 12.18.2. On premise 12.19. Canada AI in Marketing Market Forecast, by Technology 12.19.1. Deep learning 12.19.2. Machine learning 12.19.3. Context Aware computing 12.19.4. Natural language processing 12.19.5. Computer vision 12.20. Canada AI in Marketing Market Forecast, by Application 12.20.1. Social media advertising 12.20.2. Virtual assistant 12.20.3. Marketing automation 12.20.4. Web and app personalization 12.20.5. Propensity modelling 12.20.6. Voice search 12.21. Canada AI in Marketing Market Forecast, By End user industry 12.21.1. BFSI 12.21.2. Consumer Goods 12.21.3. Media and entertainment 12.21.4. Retail 12.21.5. Others 12.22. North America AI in Marketing Market Attractiveness Analysis 12.22.1. Deployment type 12.22.2. By Technology 12.22.3. By Application 12.22.4. By End user industry 12.23. PEST Analysis 12.24. Key Trends 12.25. Key Development 13. Europe AI in Marketing Market Analysis 13.1. Key Findings 13.2. Europe AI in Marketing Market Overview 13.3. Europe AI in Marketing Market Value Share Analysis, Deployment type 13.4. Europe AI in Marketing Market Forecast, Deployment type 13.4.1. On cloud 13.4.2. On premise 13.5. Europe AI in Marketing Market Value Share Analysis, by Technology 13.6. Europe AI in Marketing Market Forecast, by Technology 13.6.1. Deep learning 13.6.2. Machine learning 13.6.3. Context Aware computing 13.6.4. Natural language processing 13.6.5. Computer vision 13.7. Europe AI in Marketing Market Value Share Analysis, by Application 13.8. Europe AI in Marketing Market Forecast, by Application 13.8.1. Social media advertising 13.8.2. Virtual assistant 13.8.3. Marketing automation 13.8.4. Web and app personalization 13.8.5. Propensity modelling 13.8.6. Voice search 13.9. Europe AI in Marketing Market Value Share Analysis, By End user industry 13.10. Europe AI in Marketing Market Forecast, By End user industry 13.10.1. BFSI 13.10.2. Consumer Goods 13.10.3. Media and entertainment 13.10.4. Retail 13.10.5. Others 13.11. Others Europe AI in Marketing Market Value Share Analysis, by Country 13.12. Europe AI in Marketing Market Forecast, by Country 13.12.1. Germany 13.12.2. U.K. 13.12.3. France 13.12.4. Italy 13.12.5. Spain 13.12.6. Rest of Europe 13.13. Europe AI in Marketing Market Analysis, by Country 13.14. Germany AI in Marketing Market Forecast, Deployment type 13.14.1. On cloud 13.14.2. On premise 13.15. Germany AI in Marketing Market Forecast, by Technology 13.15.1. Deep learning 13.15.2. Machine learning 13.15.3. Context Aware computing 13.15.4. Natural language processing 13.15.5. Computer vision 13.16. Germany AI in Marketing Market Forecast, by Application 13.16.1. Social media advertising 13.16.2. Virtual assistant 13.16.3. Marketing automation 13.16.4. Web and app personalization 13.16.5. Propensity modelling 13.16.6. Voice search 13.17. Germany AI in Marketing Market Forecast, By End user industry 13.17.1. BFSI 13.17.2. Consumer Goods 13.17.3. Media and entertainment 13.17.4. Retail 13.17.5. Others 13.18. U.K. AI in Marketing Market Forecast, Deployment type 13.18.1. On cloud 13.18.2. On premise 13.19. U.K. AI in Marketing Market Forecast, by Technology 13.19.1. Deep learning 13.19.2. Machine learning 13.19.3. Context Aware computing 13.19.4. Natural language processing 13.19.5. Computer vision 13.20. U.K. AI in Marketing Market Forecast, by Application 13.20.1. Social media advertising 13.20.2. Virtual assistant 13.20.3. Marketing automation 13.20.4. Web and app personalization 13.20.5. Propensity modelling 13.20.6. Voice search 13.21. U.K. AI in Marketing Market Forecast, By End user industry 13.21.1. BFSI 13.21.2. Consumer Goods 13.21.3. Media and entertainment 13.21.4. Retail 13.21.5. Others 13.22. France AI in Marketing Market Forecast, Deployment type 13.22.1. On cloud 13.22.2. On premise 13.23. France AI in Marketing Market Forecast, by Technology 13.23.1. Deep learning 13.23.2. Machine learning 13.23.3. Context Aware computing 13.23.4. Natural language processing 13.23.5. Computer vision 13.24. France AI in Marketing Market Forecast, by Application 13.24.1. Social media advertising 13.24.2. Virtual assistant 13.24.3. Marketing automation 13.24.4. Web and app personalization 13.24.5. Propensity modelling 13.24.6. Voice search 13.25. France AI in Marketing Market Forecast, By End user industry 13.25.1. BFSI 13.25.2. Consumer Goods 13.25.3. Media and entertainment 13.25.4. Retail 13.25.5. Others 13.26. Italy AI in Marketing Market Forecast, Deployment type 13.26.1. On cloud 13.26.2. On premise 13.27. Italy AI in Marketing Market Forecast, by Technology 13.27.1. Deep learning 13.27.2. Machine learning 13.27.3. Context Aware computing 13.27.4. Natural language processing 13.27.5. Computer vision 13.28. Italy AI in Marketing Market Forecast, by Application 13.28.1. Social media advertising 13.28.2. Virtual assistant 13.28.3. Marketing automation 13.28.4. Web and app personalization 13.28.5. Propensity modelling 13.28.6. Voice search 13.29. Italy AI in Marketing Market Forecast, By End user industry 13.29.1. BFSI 13.29.2. Consumer Goods 13.29.3. Media and entertainment 13.29.4. Retail 13.29.5. Others 13.30. Spain AI in Marketing Market Forecast, Deployment type 13.30.1. On cloud 13.30.2. On premise 13.31. Spain AI in Marketing Market Forecast, by Technology 13.31.1. Deep learning 13.31.2. Machine learning 13.31.3. Context Aware computing 13.31.4. Natural language processing 13.31.5. Computer vision 13.32. Spain AI in Marketing Market Forecast, by Application 13.32.1. Social media advertising 13.32.2. Virtual assistant 13.32.3. Marketing automation 13.32.4. Web and app personalization 13.32.5. Propensity modelling 13.32.6. Voice search 13.33. Spain AI in Marketing Market Forecast, By End user industry 13.33.1. BFSI 13.33.2. Consumer Goods 13.33.3. Media and entertainment 13.33.4. Retail 13.33.5. Others 13.34. Rest of Europe AI in Marketing Market Forecast, Deployment type 13.34.1. On cloud 13.34.2. On premise 13.35. Rest of Europe AI in Marketing Market Forecast, by Technology 13.35.1. Deep learning 13.35.2. Machine learning 13.35.3. Context Aware computing 13.35.4. Natural language processing 13.35.5. Computer vision 13.36. Rest of Europe AI in Marketing Market Forecast, by Application 13.36.1. Social media advertising 13.36.2. Virtual assistant 13.36.3. Marketing automation 13.36.4. Web and app personalization 13.36.5. Propensity modelling 13.36.6. Voice search 13.37. Rest Of Europe AI in Marketing Market Forecast, By End user industry 13.37.1. BFSI 13.37.2. Consumer Goods 13.37.3. Media and entertainment 13.37.4. Retail 13.37.5. Others 13.38. Europe AI in Marketing Market Attractiveness Analysis 13.38.1. Deployment type 13.38.2. By Technology 13.38.3. By Application 13.38.4. By End user industry 13.39. PEST Analysis 13.40. Key Trends 13.41. Key Development 14. Asia Pacific AI in Marketing Market Analysis 14.1. Key Findings 14.2. Asia Pacific AI in Marketing Market Overview 14.3. Asia Pacific AI in Marketing Market Value Share Analysis, Deployment type 14.4. Asia Pacific AI in Marketing Market Forecast, Deployment type 14.4.1. On cloud 14.4.2. On premise 14.5. Asia Pacific AI in Marketing Market Value Share Analysis, by Technology 14.6. Asia Pacific AI in Marketing Market Forecast, by Technology 14.6.1. Deep learning 14.6.2. Machine learning 14.6.3. Context Aware computing 14.6.4. Natural language processing 14.6.5. Computer vision 14.7. Asia Pacific AI in Marketing Market Value Share Analysis, by Application 14.8. Asia Pacific AI in Marketing Market Forecast, by Application 14.8.1. Social media advertising 14.8.2. Virtual assistant 14.8.3. Marketing automation 14.8.4. Web and app personalization 14.8.5. Propensity modelling 14.8.6. Voice search 14.9. Asia Pacific AI in Marketing Market Value Share Analysis, By End user industry 14.10. Asia Pacific AI in Marketing Market Forecast, By End user industry 14.10.1. BFSI 14.10.2. Consumer Goods 14.10.3. Media and entertainment 14.10.4. Retail 14.10.5. Others 14.11. Asia Pacific AI in Marketing Market Value Share Analysis, by Country 14.12. Asia Pacific AI in Marketing Market Forecast, by Country 14.12.1. China 14.12.2. India 14.12.3. Japan 14.12.4. ASEAN 14.12.5. Rest of Asia Pacific 14.13. Asia Pacific AI in Marketing Market Analysis, by Country 14.14. China AI in Marketing Market Forecast, Deployment type 14.14.1. On cloud 14.14.2. On premise 14.15. China AI in Marketing Market Forecast, by Technology 14.15.1. Deep learning 14.15.2. Machine learning 14.15.3. Context Aware computing 14.15.4. Natural language processing 14.15.5. Computer vision 14.16. China AI in Marketing Market Forecast, by Application 14.16.1. Social media advertising 14.16.2. Virtual assistant 14.16.3. Marketing automation 14.16.4. Web and app personalization 14.16.5. Propensity modelling 14.16.6. Voice search 14.17. China AI in Marketing Market Forecast, By End user industry 14.17.1. BFSI 14.17.2. Consumer Goods 14.17.3. Media and entertainment 14.17.4. Retail 14.17.5. Others 14.18. India AI in Marketing Market Forecast, Deployment type 14.18.1. On cloud 14.18.2. On premise 14.19. India AI in Marketing Market Forecast, by Technology 14.19.1. Deep learning 14.19.2. Machine learning 14.19.3. Context Aware computing 14.19.4. Natural language processing 14.19.5. Computer vision 14.20. India AI in Marketing Market Forecast, by Application 14.20.1. Social media advertising 14.20.2. Virtual assistant 14.20.3. Marketing automation 14.20.4. Web and app personalization 14.20.5. Propensity modelling 14.20.6. Voice search 14.21. India AI in Marketing Market Forecast, By End user industry 14.21.1. BFSI 14.21.2. Consumer Goods 14.21.3. Media and entertainment 14.21.4. Retail 14.21.5. Others 14.22. Japan AI in Marketing Market Forecast, Deployment type 14.22.1. On cloud 14.22.2. On premise 14.23. Japan AI in Marketing Market Forecast, by Technology 14.23.1. Deep learning 14.23.2. Machine learning 14.23.3. Context Aware computing 14.23.4. Natural language processing 14.23.5. Computer vision 14.24. Japan AI in Marketing Market Forecast, by Application 14.24.1. Social media advertising 14.24.2. Virtual assistant 14.24.3. Marketing automation 14.24.4. Web and app personalization 14.24.5. Propensity modelling 14.24.6. Voice search 14.25. Japan AI in Marketing Market Forecast, By End user industry 14.25.1. BFSI 14.25.2. Consumer Goods 14.25.3. Media and entertainment 14.25.4. Retail 14.25.5. Others 14.26. ASEAN AI in Marketing Market Forecast, Deployment type 14.26.1. On cloud 14.26.2. On premise 14.27. ASEAN AI in Marketing Market Forecast, by Technology 14.27.1. Deep learning 14.27.2. Machine learning 14.27.3. Context Aware computing 14.27.4. Natural language processing 14.27.5. Computer vision 14.28. ASEAN AI in Marketing Market Forecast, by Application 14.28.1. Social media advertising 14.28.2. Virtual assistant 14.28.3. Marketing automation 14.28.4. Web and app personalization 14.28.5. Propensity modelling 14.28.6. Voice search 14.29. ASEAN AI in Marketing Market Forecast, By End user industry 14.29.1. BFSI 14.29.2. Consumer Goods 14.29.3. Media and entertainment 14.29.4. Retail 14.29.5. Others 14.30. Rest of Asia Pacific AI in Marketing Market Forecast, Deployment type 14.30.1. On cloud 14.30.2. On premise 14.31. Rest of Asia Pacific AI in Marketing Market Forecast, by Technology 14.31.1. Deep learning 14.31.2. Machine learning 14.31.3. Context Aware computing 14.31.4. Natural language processing 14.31.5. Computer vision 14.32. Rest of Asia Pacific AI in Marketing Market Forecast, by Application 14.32.1. Social media advertising 14.32.2. Virtual assistant 14.32.3. Marketing automation 14.32.4. Web and app personalization 14.32.5. Propensity modelling 14.32.6. Voice search 14.33. Rest of Asia Pacific AI in Marketing Market Forecast, By End user industry 14.33.1. BFSI 14.33.2. Consumer Goods 14.33.3. Media and entertainment 14.33.4. Retail 14.33.5. Others 14.34. Asia Pacific AI in Marketing Market Attractiveness Analysis 14.34.1. Deployment type 14.34.2. By Technology 14.34.3. By Application 14.34.4. By End user industry 14.35. PEST Analysis 14.36. Key Trends 14.37. Key Development 15. Middle East & Africa AI in Marketing Market Analysis 15.1. Key Findings 15.2. Middle East & Africa AI in Marketing Market Overview 15.3. Middle East & Africa AI in Marketing Market Value Share Analysis, Deployment type 15.4. Middle East & Africa AI in Marketing Market Forecast, Deployment type 15.4.1. On cloud 15.4.2. On premise 15.5. Middle East & Africa AI in Marketing Market Value Share Analysis, by Technology 15.6. Middle East & Africa AI in Marketing Market Forecast, by Technology 15.6.1. Deep learning 15.6.2. Machine learning 15.6.3. Context Aware computing 15.6.4. Natural language processing 15.6.5. Computer vision 15.7. Middle East & Africa AI in Marketing Market Value Share Analysis, by Application 15.8. Middle East & Africa AI in Marketing Market Forecast, by Application 15.8.1. Social media advertising 15.8.2. Virtual assistant 15.8.3. Marketing automation 15.8.4. Web and app personalization 15.8.5. Propensity modelling 15.8.6. Voice search 15.9. Middle East & Africa AI in Marketing Market Value Share Analysis, By End user industry 15.10. Middle East & Africa AI in Marketing Market Forecast, By End user industry 15.10.1. BFSI 15.10.2. Consumer Goods 15.10.3. Media and entertainment 15.10.4. Retail 15.10.5. Others 15.11. Middle East & Africa AI in Marketing Market Value Share Analysis, by Country 15.12. Middle East & Africa AI in Marketing Market Forecast, by Country 15.12.1. GCC 15.12.2. South Africa 15.12.3. Rest of Middle East & Africa 15.13. Middle East & Africa AI in Marketing Market Analysis, by Country 15.14. GCC AI in Marketing Market Forecast, Deployment type 15.14.1. On cloud 15.14.2. On premise 15.15. GCC AI in Marketing Market Forecast, by Technology 15.15.1. Deep learning 15.15.2. Machine learning 15.15.3. Context Aware computing 15.15.4. Natural language processing 15.15.5. Computer vision 15.16. GCC AI in Marketing Market Forecast, by Application 15.16.1. Social media advertising 15.16.2. Virtual assistant 15.16.3. Marketing automation 15.16.4. Web and app personalization 15.16.5. Propensity modelling 15.16.6. Voice search 15.17. GCC AI in Marketing Market Forecast, By End user industry 15.17.1. BFSI 15.17.2. Consumer Goods 15.17.3. Media and entertainment 15.17.4. Retail 15.17.5. Others 15.18. South Africa AI in Marketing Market Forecast, Deployment type 15.18.1. On cloud 15.18.2. On premise 15.19. South Africa AI in Marketing Market Forecast, by Technology 15.19.1. Deep learning 15.19.2. Machine learning 15.19.3. Context Aware computing 15.19.4. Natural language processing 15.19.5. Computer vision 15.20. South Africa AI in Marketing Market Forecast, by Application 15.20.1. Social media advertising 15.20.2. Virtual assistant 15.20.3. Marketing automation 15.20.4. Web and app personalization 15.20.5. Propensity modelling 15.20.6. Voice search 15.21. South Africa AI in Marketing Market Forecast, By End user industry 15.21.1. BFSI 15.21.2. Consumer Goods 15.21.3. Media and entertainment 15.21.4. Retail 15.21.5. Others 15.22. Rest of Middle East & Africa AI in Marketing Market Forecast, Deployment type 15.22.1. On cloud 15.22.2. On premise 15.23. Rest of Middle East & Africa AI in Marketing Market Forecast, by Technology 15.23.1. Deep learning 15.23.2. Machine learning 15.23.3. Context Aware computing 15.23.4. Natural language processing 15.23.5. Computer vision 15.24. Rest of Middle East & Africa AI in Marketing Market Forecast, by Application 15.24.1. Social media advertising 15.24.2. Virtual assistant 15.24.3. Marketing automation 15.24.4. Web and app personalization 15.24.5. Propensity modelling 15.24.6. Voice search 15.25. Rest of Middle East & Africa AI in Marketing Market Forecast, By End user industry 15.25.1. BFSI 15.25.2. Consumer Goods 15.25.3. Media and entertainment 15.25.4. Retail 15.25.5. Others 15.26. Middle East & Africa AI in Marketing Market Attractiveness Analysis 15.26.1. Deployment type 15.26.2. By Technology 15.26.3. By Application 15.26.4. By End user industry 15.27. PEST Analysis 15.28. Key Trends 15.29. Key Development 16. South America AI in Marketing Market Analysis 16.1. Key Findings 16.2. South America AI in Marketing Market Overview 16.3. South America AI in Marketing Market Value Share Analysis, Deployment type 16.4. South America AI in Marketing Market Forecast, Deployment type 16.4.1. On cloud 16.4.2. On premise 16.5. South America AI in Marketing Market Value Share Analysis, by Technology 16.6. South America AI in Marketing Market Forecast, by Technology 16.6.1. Deep learning 16.6.2. Machine learning 16.6.3. Context Aware computing 16.6.4. Natural language processing 16.6.5. Computer vision 16.7. South America AI in Marketing Market Value Share Analysis, by Application 16.8. South America AI in Marketing Market Forecast, by Application 16.8.1. Social media advertising 16.8.2. Virtual assistant 16.8.3. Marketing automation 16.8.4. Web and app personalization 16.8.5. Propensity modelling 16.8.6. Voice search 16.9. South America AI in Marketing Market Value Share Analysis, By End user industry 16.10. South America AI in Marketing Market Forecast, By End user industry 16.10.1. BFSI 16.10.2. Consumer Goods 16.10.3. Media and entertainment 16.10.4. Retail 16.10.5. Others 16.11. South America AI in Marketing Market Value Share Analysis, by Country 16.12. South America AI in Marketing Market Forecast, by Country 16.12.1. Brazil 16.12.2. Mexico 16.12.3. Rest of South America 16.13. South America AI in Marketing Market Analysis, by Country 16.14. Brazil AI in Marketing Market Forecast, Deployment type 16.14.1. On cloud 16.14.2. On premise 16.15. Brazil AI in Marketing Market Forecast, by Technology 16.15.1. Deep learning 16.15.2. Machine learning 16.15.3. Context Aware computing 16.15.4. Natural language processing 16.15.5. Computer vision 16.16. Brazil AI in Marketing Market Forecast, by Application 16.16.1. Social media advertising 16.16.2. Virtual assistant 16.16.3. Marketing automation 16.16.4. Web and app personalization 16.16.5. Propensity modelling 16.16.6. Voice search 16.17. Brazil AI in Marketing Market Forecast, By End user industry 16.17.1. BFSI 16.17.2. Consumer Goods 16.17.3. Media and entertainment 16.17.4. Retail 16.17.5. Others 16.18. Mexico AI in Marketing Market Forecast, Deployment type 16.18.1. On cloud 16.18.2. On premise 16.19. Mexico AI in Marketing Market Forecast, by Technology 16.19.1. Deep learning 16.19.2. Machine learning 16.19.3. Context Aware computing 16.19.4. Natural language processing 16.19.5. Computer vision 16.20. Mexico AI in Marketing Market Forecast, by Application 16.20.1. Social media advertising 16.20.2. Virtual assistant 16.20.3. Marketing automation 16.20.4. Web and app personalization 16.20.5. Propensity modelling 16.20.6. Voice search 16.21. Mexico AI in Marketing Market Forecast, By End user industry 16.21.1. BFSI 16.21.2. Consumer Goods 16.21.3. Media and entertainment 16.21.4. Retail 16.21.5. Others 16.22. Rest of South America AI in Marketing Market Forecast, Deployment type 16.22.1. On cloud 16.22.2. On premise 16.23. Rest of South America AI in Marketing Market Forecast, by Technology 16.23.1. Deep learning 16.23.2. Machine learning 16.23.3. Context Aware computing 16.23.4. Natural language processing 16.23.5. Computer vision 16.24. Rest of South America AI in Marketing Market Forecast, by Application 16.24.1. Social media advertising 16.24.2. Virtual assistant 16.24.3. Marketing automation 16.24.4. Web and app personalization 16.24.5. Propensity modelling 16.24.6. Voice search 16.25. Rest of South America AI in Marketing Market Forecast, By End user industry 16.25.1. BFSI 16.25.2. Consumer Goods 16.25.3. Media and entertainment 16.25.4. Retail 16.25.5. Others 16.26. South America AI in Marketing Market Attractiveness Analysis 16.26.1. Deployment type 16.26.2. By Technology 16.26.3. By Application 16.26.4. By End user industry 16.27. PEST Analysis 16.28. Key Trends 16.29. Key Development 17. Company Profiles 17.1. Market Share Analysis, by Company 17.2. Competition Matrix 17.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications and R&D investment 17.2.2. New Product Launches and Product Enhancements 17.2.3. Market Consolidation 17.2.3.1. M&A by Regions, Investment and Applications 17.2.3.2. M&A Key Players, Forward Integration and Backward Integration 17.3. Company Profiles: Key Players 17.3.1. Google (US) 17.3.1.1. Company Overview 17.3.1.2. Financial Overview 17.3.1.3. Product Portfolio 17.3.1.4. Business Strategy 17.3.1.5. Recent Developments 17.3.1.6. Company Footprint 17.3.2. Amazon (US) 17.3.3. Facebook (US 17.3.4. IBM (US) 17.3.5. Microsoft (US) 17.3.6. NVIDIA (US) 17.3.7. Twitter (US) 17.3.8. Salesforce (US) 17.3.9. Samsung (South Korea) 17.3.10. Intel (US) 17.3.11. Oracle(US) 17.3.12. Bain and company(US) 17.3.13. McCann 17.3.14. Ogilvy 17.3.15. Albert technologies (Israel) 17.3.16. BAIDU (China) 17.3.17. Accenture 17.3.18. Netflix 17.3.19. Micron tech 17.3.20. Service Now 18. Primary Key Insights

About This Report

Report ID30822
Category Information Technology & Telecommunication
Published DateMay 2019
No of Pages184
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