Artificial Intelligence in Marketing Market Synopsis

Artificial Intelligence in Marketing Market Size Was Valued at USD 36.7 Billion in 2023, and is Projected to Reach USD 317.4 Billion by 2032, Growing at a CAGR of 27.1% From 2024-2032.

AI marketing may be described as the utilization of superior technology including machine learning as well as the natural language processing to examine a vast amount of data with the objective of automating the tasks as well as searching for additional information to promote the development of ideal marketing strategies and marketing campaigns. Recent developments in AI allow marketers to develop better approaches to customers, to forecast the buyer’s actions, to manage advertizing campaigns, to develop chatbots to enhance the services offered to consumers, and to simplify numerous marketing procedures. These analyses help the firm in looking into customer demographics and proactively target customers, thus improving firm performance for marketing activities in terms of audience engagement, changeover rates and more so the ROI on all marketing campaigns.

• Marketing and AI have significantly evolved due to the integration of this technology in marketing aspects of public engagement and brand management. Marketers are then able to derive deeper and valuable meaning from big data through artificial intelligence integration, to provide customized experiences as well as highly relevant campaigns. From predictive analysis for efficient estimates to use of bots for timely customer support, AI brings numbers of tools to the marketers that help them in increasing the efficiency in their work. Also, algorithm devices managed by AI enhance the places of advertisements or sponsored posts, and the choice of the content shown to the audiences, achieving more significant returns on investments and consumers’ trust. The future of AI in marketing looks promising, growing at a steady pace as clients seek to integrate AI into their marketing strategies to be at par with the latest technological advancements.

• This is because there are still the challenges faced by marketers when implementing AI, these are data privacy issues and ethical question marks over algorithmic prejudices. Data transparency and accountability for decisions made with the help of AI need to be integrated to establish consumers’ trust. Also, the rates at which technologies are being developed, make it even more important for marketers to gain new knowledge and application of AI on the rightful methods for its optimal utilization. As both a cutting-edge solution and an initiative that embodies the need for hyper-personalization and data-driven insights, AI can only be implemented if done very carefully and within the confines of the law. Marketing automation using AI evokes these complexities; thus, organizations that accept AI in marketing will create better client experiences and long-term growth as markets move online.

Artificial Intelligence in Marketing Market Trend Analysis

Increasing Emphasis On AI-Driven Hyper-Personalization

• AI is used by marketers for understanding the big amount of collected data and adapting the content and recommendations to the needs of consumers. It is evident in all forms of marketing communication that include email marketing, social media presence, and website visits. This knowledge of people’s preferences, behavior, and past purchases allows the brands to create more relevant and valuable messages to their audience and, consequently, obtain more response and conversion. Furthermore, AI-based personalization enhances customer loyalty as well as brand trust since the consumer will feel that the brand is aware of, and cares for, their needs and wants. This points to the importance of AI in helping marketers create and deliver timely and engaging content as a way of cutting through the noise in today’s congested digital world.

Realm of hyper-personalization through AI-driven content generation

• Consumers’ personal data is used for marketing purposes to identify their preferences and behavioral patterns, which in turn are leveraged to create more personalized content with the help of AI algorithms. This also not only improves customer engagement but also the ways of how they communicate with the customer when through a conversion funnel, the messages that go through will be the right messages at the right time. Additionally, many people are still enticed by the distaste of marketing automation because it opens up the opportunity for marketers to generate numerous content at a low level of manual work. Engaging in this opportunity helps companies set themselves apart from their rivals in the current digital marketplace, improving the density of existing customer relations, and guaranteeing long-term economic success.

Artificial Intelligence in Marketing Market Segment Analysis:

Artificial Intelligence in Marketing Market is Segmented on the basis of Component, Technology, Application and end-use.

By Component, Software segment is expected to dominate the market during the forecast period

• AI in Marketing market by software segment would exhibit itself as the largest segment across the global market throughout the forecast period mainly due to the impact created by intelligent software solutions in streamlining marketing methodologies. These software platforms cover many applications, they include customer analytics, predictive modelling, natural language processing, personalisation among other applications. Marketers need these tool to effectively derive insights from huge data, save time through data processing from more complex data queries and deliver relevant contents to consumers.

• Furthermore, there is an increased and improved use of better algorithms concerning artificial intelligence, as well as machine learning that make the software for marketing even better and this makes marketing adopt the industry. Due to the growing trend of adoption of AI in decision making and the shifting customer needs on marketing companies, there is expected to be increased adoption of marketing software for artificial intelligence this in turn is projected to push the AI in Marketing market forward as one of the key growth drivers.

By Technology, Machine Learning segment expected to held the largest share in 2023

• With regards to the application of artificial intelligence in marketing, the machine learning type is expected to dominate the field. Data mining and marketing application are also considered as the activities that benefit from the development of machine learning algorithms allowing for automating analysis of marketing data and predicting outcomes. Marketing application of machine learning As marketers, it is possible to use the capability of machine learning applications to gain understanding from immense data set that spans from consumer profile to market trends to make better decisions.

• Also, AI is used for recommendation engines, self-corrective algorithms of chatbot, and programs of customized content provision and thus increases customer satisfaction. Since marketing is gradually becoming more data-oriented at the expense of the use of various marketing tools, it is essential to stress that the market segment related to machine learning solutions is going to act as a dominant in the sphere of AI in Marketing.

Artificial Intelligence in Marketing Market Regional Insights:

Asia Pacific is Expected to Dominate the Market Over the Forecast period

• Market attractiveness by geographical region While Asia-Pacific remains the largest region in the Artificial Intelligence (AI) in Marketing market, the global rise in the digital economy, maturity, and growth of the consumer market across the world is expected to drive the global market through the forecast period. Basically, due to the growing middle-income earners as well as daily internet users, many nations in Asia Pacific have shown higher online activities that generate vast amounts of digital data, which are then suitable for AI analysis for terminations in different organization and frontier sectors.

• Additionally, there is encouragement by governmentslocated all across the region in establishing various programs and policies that work towards the development of AI, which in turn drives the demand for the market. Specifically, Asia sees a growing number of AI startups and investments, especially in China and India; such progression enhance technology advancement and its application in marketing.

• Furthermore, cultural and language barriers are also tremendous issues that global areas face, which AI & BI solutions can conquer, including translation and globalization of content. With more organizations understanding the vast opportunities of advanced AI in unlocking this diverse market environment, APAC region is set to be the antecedent of the AI influenced promotional endeavors.

Active Key Players in the Artificial Intelligence in Marketing Market

• Amazon.com, Inc.
• Baidu, Inc.
• Google LLC
• Intel Corporation
• International Business Machines Corporation
• Microsoft Corporation
• NVIDIA Corporation
• Oracle Corporation
• Salesforce, Inc.
• Twitter, Inc.
• Other key Players

Key Industry Developments in the Artificial Intelligence in Marketing Market:

• As of June 2023, there are two latest generative AI products; Salesforce; the global CRM leader releases Marketing GPT and Commerce GPT. Marketing GPT will allow marketers to manage content creation and personalised communication, better targeting of audience and marketing paths. In addition, by using the self-contained dynamic purchasing journeys of GPT, organizations will be able to provide customized products modeled on customers’ behavior and tailor offers in relation to their requirements.

• In February of 2023, Bain full & Company, an American management consulting firm, and OpenAI, a artificial intelligence startup, teamed up to help corporate individuals unlock the full potential of AI. Further, aiming to create more personal, unique, and relevant messages, images, and content in its advertisements, the Coca-Cola Company, a U. S beverage firm, planned to work with OpenAI’s ChatGPT and DALL-E under the partnership.

1. INTRODUCTION
   1. RESEARCH OBJECTIVES
   2. RESEARCH METHODOLOGY
   3. RESEARCH PROCESS
   4. SCOPE AND COVERAGE
      1. Market Definition
      2. Key Questions Answered
   5. MARKET SEGMENTATION
2. EXECUTIVE SUMMARY
3. MARKET OVERVIEW
4. GROWTH OPPORTUNITIES BY SEGMENT
5. MARKET LANDSCAPE
   1. PORTER’S FIVE FORCES ANALYSIS
      1. Bargaining Power Of Supplier
      2. Threat Of New Entrants
      3. Threat Of Substitutes
      4. Competitive Rivalry
      5. Bargaining Power Among Buyers
   2. INDUSTRY VALUE CHAIN ANALYSIS
   3. MARKET DYNAMICS
      1. Drivers
      2. Restraints
      3. Opportunities
      4. Challenges
   4. MARKET TREND ANALYSIS
   5. REGULATORY LANDSCAPE
   6. PESTLE ANALYSIS
   7. PRICE TREND ANALYSIS
   8. PATENT ANALYSIS
   9. TECHNOLOGY EVALUATION
   10. MARKET IMPACT OF THE RUSSIA-UKRAINE WAR
       1. Geopolitical Market Disruptions
       2. Supply Chain Disruptions
       3. Instability in Emerging Markets
   11. ECOSYSTEM
6. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET BY COMPONENT (2017-2032)
   1. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. SOFTWARE
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. HARDWARE
   5. SERVICES
7. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET BY TECHNOLOGY (2017-2032)
   1. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. MACHINE LEARNING
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. CONTEXT-AWARE COMPUTING
   5. NATURAL LANGUAGE PROCESSING
   6. COMPUTER VISION
8. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET BY APPLICATION (2017-2032)
   1. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. SEARCH ADVERTISING
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. SOCIAL MEDIA ADVERTISING
   5. DYNAMIC PRICING
   6. VIRTUAL ASSISTANT
   7. CONTENT CURATION
   8. SALES & MARKETING AUTOMATION
   9. OTHERS
9. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET BY END-USER (2017-2032)
   1. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. ENTERPRISE
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. BFSI
   5. RETAIL
   6. CONSUMER GOODS
   7. MEDIA & ENTERTAINMENT
   8. OTHERS
10. COMPANY PROFILES AND COMPETITIVE ANALYSIS
    1. COMPETITIVE LANDSCAPE
       1. Competitive Positioning
       2. Artificial Intelligence in Marketing Market Share By Manufacturer (2023)
       3. Industry BCG Matrix
       4. Heat Map Analysis
       5. Mergers & Acquisitions
    2. AMAZON.COM, INC.
       1. Company Overview
       2. Key Executives
       3. Company Snapshot
       4. Role of the Company in the Market
       5. Sustainability and Social Responsibility
       6. Operating Business Segments
       7. Product Portfolio
       8. Business Performance (Production Volume, Sales Volume, Sales Margin, Production Capacity, Capacity Utilization Rate)
       9. Key Strategic Moves And Recent Developments
       10. SWOT Analysis
    3. BAIDU, INC.
    4. GOOGLE LLC
    5. INTEL CORPORATION
    6. INTERNATIONAL BUSINESS MACHINES CORPORATION
    7. MICROSOFT CORPORATION
    8. NVIDIA CORPORATION
    9. ORACLE CORPORATION
    10. SALESFORCE, INC.
    11. TWITTER, INC.
11. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET BY REGION
    1. OVERVIEW
    2. NORTH AMERICA
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Component
       4. Historic And Forecasted Market Size By Technology
       5. Historic And Forecasted Market Size By Application
       6. Historic And Forecasted Market Size By End-User
       7. Historic And Forecasted Market Size By Country
          1. USA
          2. Canada
          3. Mexico
    3. EASTERN EUROPE
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Russia
          2. Bulgaria
          3. The Czech Republic
          4. Hungary
          5. Poland
          6. Romania
          7. Rest Of Eastern Europe
    4. WESTERN EUROPE
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Germany
          2. United Kingdom
          3. France
          4. The Netherlands
          5. Italy
          6. Spain
          7. Rest Of Western Europe
    5. ASIA PACIFIC
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. China
          2. India
          3. Japan
          4. South Korea
          5. Malaysia
          6. Thailand
          7. Vietnam
          8. The Philippines
          9. Australia
          10. New-Zealand
          11. Rest Of APAC
    6. MIDDLE EAST & AFRICA
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Turkey
          2. Bahrain
          3. Kuwait
          4. Saudi Arabia
          5. Qatar
          6. UAE
          7. Israel
          8. South Africa
    7. SOUTH AMERICA
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Brazil
          2. Argentina
          3. Rest of South America
12. INVESTMENT ANALYSIS
13. ANALYST VIEWPOINT AND CONCLUSION
    1. Recommendations and Concluding Analysis
    2. Potential Market Strategies

LIST OF TABLES

TABLE 001. EXECUTIVE SUMMARY
TABLE 002. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET COMPETITIVE RIVALRY
TABLE 005. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET THREAT OF NEW ENTRANTS
TABLE 006. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET THREAT OF SUBSTITUTES
TABLE 007. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET BY COMPONENT
TABLE 008. SOFTWARE MARKET OVERVIEW (2016-2028)
TABLE 009. HARDWARE MARKET OVERVIEW (2016-2028)
TABLE 010. SERVICES MARKET OVERVIEW (2016-2028)
TABLE 011. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET BY TECHNOLOGY
TABLE 012. MACHINE LEARNING MARKET OVERVIEW (2016-2028)
TABLE 013. CONTEXT-AWARE COMPUTING MARKET OVERVIEW (2016-2028)
TABLE 014. NATURAL LANGUAGE PROCESSING MARKET OVERVIEW (2016-2028)
TABLE 015. COMPUTER VISION MARKET OVERVIEW (2016-2028)
TABLE 016. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET BY APPLICATION
TABLE 017. SEARCH ADVERTISING MARKET OVERVIEW (2016-2028)
TABLE 018. SOCIAL MEDIA ADVERTISING MARKET OVERVIEW (2016-2028)
TABLE 019. DYNAMIC PRICING MARKET OVERVIEW (2016-2028)
TABLE 020. VIRTUAL ASSISTANT MARKET OVERVIEW (2016-2028)
TABLE 021. CONTENT CURATION MARKET OVERVIEW (2016-2028)
TABLE 022. SALES & MARKETING AUTOMATION MARKET OVERVIEW (2016-2028)
TABLE 023. OTHER APPLICATIONS MARKET OVERVIEW (2016-2028)
TABLE 024. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET BY END-USE
TABLE 025. ENTERPRISE MARKET OVERVIEW (2016-2028)
TABLE 026. BFSI MARKET OVERVIEW (2016-2028)
TABLE 027. RETAIL MARKET OVERVIEW (2016-2028)
TABLE 028. CONSUMER GOODS MARKET OVERVIEW (2016-2028)
TABLE 029. MEDIA & ENTERTAINMENT MARKET OVERVIEW (2016-2028)
TABLE 030. OTHER END-USES MARKET OVERVIEW (2016-2028)
TABLE 031. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY COMPONENT (2016-2028)
TABLE 032. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY TECHNOLOGY (2016-2028)
TABLE 033. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY APPLICATION (2016-2028)
TABLE 034. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY END-USE (2016-2028)
TABLE 035. N ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY COUNTRY (2016-2028)
TABLE 036. EUROPE ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY COMPONENT (2016-2028)
TABLE 037. EUROPE ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY TECHNOLOGY (2016-2028)
TABLE 038. EUROPE ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY APPLICATION (2016-2028)
TABLE 039. EUROPE ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY END-USE (2016-2028)
TABLE 040. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY COUNTRY (2016-2028)
TABLE 041. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY COMPONENT (2016-2028)
TABLE 042. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY TECHNOLOGY (2016-2028)
TABLE 043. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY APPLICATION (2016-2028)
TABLE 044. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY END-USE (2016-2028)
TABLE 045. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY COUNTRY (2016-2028)
TABLE 046. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY COMPONENT (2016-2028)
TABLE 047. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY TECHNOLOGY (2016-2028)
TABLE 048. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY APPLICATION (2016-2028)
TABLE 049. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY END-USE (2016-2028)
TABLE 050. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY COUNTRY (2016-2028)
TABLE 051. SOUTH AMERICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY COMPONENT (2016-2028)
TABLE 052. SOUTH AMERICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY TECHNOLOGY (2016-2028)
TABLE 053. SOUTH AMERICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY APPLICATION (2016-2028)
TABLE 054. SOUTH AMERICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY END-USE (2016-2028)
TABLE 055. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, BY COUNTRY (2016-2028)
TABLE 056. INTEL CORPORATION: SNAPSHOT
TABLE 057. INTEL CORPORATION: BUSINESS PERFORMANCE
TABLE 058. INTEL CORPORATION: PRODUCT PORTFOLIO
TABLE 059. INTEL CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 059. WELLTOK INC: SNAPSHOT
TABLE 060. WELLTOK INC: BUSINESS PERFORMANCE
TABLE 061. WELLTOK INC: PRODUCT PORTFOLIO
TABLE 062. WELLTOK INC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 062. NVIDIA CORPORATION: SNAPSHOT
TABLE 063. NVIDIA CORPORATION: BUSINESS PERFORMANCE
TABLE 064. NVIDIA CORPORATION: PRODUCT PORTFOLIO
TABLE 065. NVIDIA CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 065. GOOGLE INC: SNAPSHOT
TABLE 066. GOOGLE INC: BUSINESS PERFORMANCE
TABLE 067. GOOGLE INC: PRODUCT PORTFOLIO
TABLE 068. GOOGLE INC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 068. IBM CORPORATION: SNAPSHOT
TABLE 069. IBM CORPORATION: BUSINESS PERFORMANCE
TABLE 070. IBM CORPORATION: PRODUCT PORTFOLIO
TABLE 071. IBM CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 071. MICROSOFT CORPORATION: SNAPSHOT
TABLE 072. MICROSOFT CORPORATION: BUSINESS PERFORMANCE
TABLE 073. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 074. MICROSOFT CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 074. SALESFORCE: SNAPSHOT
TABLE 075. SALESFORCE: BUSINESS PERFORMANCE
TABLE 076. SALESFORCE: PRODUCT PORTFOLIO
TABLE 077. SALESFORCE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 077. ORACLE: SNAPSHOT
TABLE 078. ORACLE: BUSINESS PERFORMANCE
TABLE 079. ORACLE: PRODUCT PORTFOLIO
TABLE 080. ORACLE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 080. NEXT IT CORPORATION: SNAPSHOT
TABLE 081. NEXT IT CORPORATION: BUSINESS PERFORMANCE
TABLE 082. NEXT IT CORPORATION: PRODUCT PORTFOLIO
TABLE 083. NEXT IT CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 083. GOOGLE INC: SNAPSHOT
TABLE 084. GOOGLE INC: BUSINESS PERFORMANCE
TABLE 085. GOOGLE INC: PRODUCT PORTFOLIO
TABLE 086. GOOGLE INC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 086. IBM CORPORATION: SNAPSHOT
TABLE 087. IBM CORPORATION: BUSINESS PERFORMANCE
TABLE 088. IBM CORPORATION: PRODUCT PORTFOLIO
TABLE 089. IBM CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 089. ALBERT TECHNOLOGIES: SNAPSHOT
TABLE 090. ALBERT TECHNOLOGIES: BUSINESS PERFORMANCE
TABLE 091. ALBERT TECHNOLOGIES: PRODUCT PORTFOLIO
TABLE 092. ALBERT TECHNOLOGIES: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 092. OCULUS360: SNAPSHOT
TABLE 093. OCULUS360: BUSINESS PERFORMANCE
TABLE 094. OCULUS360: PRODUCT PORTFOLIO
TABLE 095. OCULUS360: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 095. OTHER MAJOR PLAYERS: SNAPSHOT
TABLE 096. OTHER MAJOR PLAYERS: BUSINESS PERFORMANCE
TABLE 097. OTHER MAJOR PLAYERS: PRODUCT PORTFOLIO
TABLE 098. OTHER MAJOR PLAYERS: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 001. YEARS CONSIDERED FOR ANALYSIS
FIGURE 002. SCOPE OF THE STUDY
FIGURE 003. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET OVERVIEW BY REGIONS
FIGURE 004. PORTER'S FIVE FORCES ANALYSIS
FIGURE 005. BARGAINING POWER OF SUPPLIERS
FIGURE 006. COMPETITIVE RIVALRYFIGURE 007. THREAT OF NEW ENTRANTS
FIGURE 008. THREAT OF SUBSTITUTES
FIGURE 009. VALUE CHAIN ANALYSIS
FIGURE 010. PESTLE ANALYSIS
FIGURE 011. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET OVERVIEW BY COMPONENT
FIGURE 012. SOFTWARE MARKET OVERVIEW (2016-2028)
FIGURE 013. HARDWARE MARKET OVERVIEW (2016-2028)
FIGURE 014. SERVICES MARKET OVERVIEW (2016-2028)
FIGURE 015. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET OVERVIEW BY TECHNOLOGY
FIGURE 016. MACHINE LEARNING MARKET OVERVIEW (2016-2028)
FIGURE 017. CONTEXT-AWARE COMPUTING MARKET OVERVIEW (2016-2028)
FIGURE 018. NATURAL LANGUAGE PROCESSING MARKET OVERVIEW (2016-2028)
FIGURE 019. COMPUTER VISION MARKET OVERVIEW (2016-2028)
FIGURE 020. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET OVERVIEW BY APPLICATION
FIGURE 021. SEARCH ADVERTISING MARKET OVERVIEW (2016-2028)
FIGURE 022. SOCIAL MEDIA ADVERTISING MARKET OVERVIEW (2016-2028)
FIGURE 023. DYNAMIC PRICING MARKET OVERVIEW (2016-2028)
FIGURE 024. VIRTUAL ASSISTANT MARKET OVERVIEW (2016-2028)
FIGURE 025. CONTENT CURATION MARKET OVERVIEW (2016-2028)
FIGURE 026. SALES & MARKETING AUTOMATION MARKET OVERVIEW (2016-2028)
FIGURE 027. OTHER APPLICATIONS MARKET OVERVIEW (2016-2028)
FIGURE 028. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET OVERVIEW BY END-USE
FIGURE 029. ENTERPRISE MARKET OVERVIEW (2016-2028)
FIGURE 030. BFSI MARKET OVERVIEW (2016-2028)
FIGURE 031. RETAIL MARKET OVERVIEW (2016-2028)
FIGURE 032. CONSUMER GOODS MARKET OVERVIEW (2016-2028)
FIGURE 033. MEDIA & ENTERTAINMENT MARKET OVERVIEW (2016-2028)
FIGURE 034. OTHER END-USES MARKET OVERVIEW (2016-2028)
FIGURE 035. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 036. EUROPE ARTIFICIAL INTELLIGENCE IN MARKETING MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 037. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN MARKETING MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 038. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 039. SOUTH AMERICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET OVERVIEW BY COUNTRY (2016-2028)