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Artificial Intelligence In Marketing Market Analysis North America, APAC, Europe, Middle East and Africa, South America - US, China, UK, Japan, Germany - Size and Forecast 2024-2028

Artificial Intelligence In Marketing Market Analysis North America, APAC, Europe, Middle East and Africa, South America - US, China, UK, Japan, Germany - Size and Forecast 2024-2028

Published: Jul 2024 143 Pages SKU: IRTNTR73484

Market Overview at a Glance

$41.02 B
Market Opportunity
30.9%
CAGR
24.84
YoY growth 2023-2024(%)

Artificial Intelligence In Marketing Size 2024-2028

The artificial intelligence in marketing size is forecast to increase by USD 41.02 billion, at a CAGR of 30.9% between 2023 and 2028.

  • The Artificial Intelligence (AI) market in marketing is experiencing significant growth, driven by the increasing adoption of cloud-based applications and services. This shift towards cloud solutions enables businesses to leverage AI technologies more efficiently and cost-effectively, enhancing their marketing capabilities. Furthermore, the ongoing digitalization and expanding internet penetration are fueling the demand for AI solutions in marketing, as companies seek to engage with customers more effectively in the digital space. However, the market's growth is not without challenges. The lack of skilled professionals poses a significant obstacle to wider AI adoption in marketing.
  • As AI applications become more complex, the need for specialized expertise in areas such as machine learning, data analytics, and programming grows. Companies must invest in upskilling their workforce or partner with external experts to overcome this challenge and fully capitalize on the opportunities presented by AI in marketing.

 

What will be the Size of the Artificial Intelligence In Marketing during the forecast period?

Artificial Intelligence In Marketing Size

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.  
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Artificial intelligence (AI) continues to reshape marketing landscapes, with dynamic market activities unfolding across various sectors. Machine learning models optimize digital marketing strategies, enabling predictive analytics for marketing ROI and customer engagement. Brands build stronger connections through AI-powered personalization and sentiment analysis. Data privacy regulations necessitate transparency and accountability, influencing marketing technology stacks and Data Security measures. A/B testing and conversion rate optimization are enhanced through AI-driven insights, while marketing automation workflows streamline customer relationship management. Marketing analytics software and dashboards provide data-driven insights, enabling marketing budget allocation and multi-channel marketing strategies. Behavioral targeting and customer journey mapping are refined through AI, enhancing marketing attribution models and email marketing automation.

Virtual assistants and chatbots facilitate seamless customer experiences, while marketing automation platforms optimize search engine optimization, pay-per-click advertising, and social media advertising. Natural language processing and AI marketing consultants aid content marketing strategies, ensuring algorithmic bias and ethical AI considerations remain at the forefront. Marketing dynamics remain in a constant state of evolution, with AI-driven innovations continuing to transform the industry. Data Governance, marketing attribution models, and programmatic advertising are among the many areas where AI is making an impact. The ongoing integration of AI into marketing technologies and strategies ensures a continuously adaptive and effective marketing landscape.

 

How is this Artificial Intelligence Ining Industry segmented?

The artificial intelligence ining industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

  • Deployment
    • On-premises
    • Cloud
  • Application
    • Social Media Advertising
    • Search Engine Marketing/ Search Advertising
    • Virtual Assistant
    • Content Curation
    • Sales & Marketing Automation
    • Analytics Platform
    • Others
  • Technology
    • Machine Learning
    • Natural Language Processing
    • Computer Vision
    • Others
  • Geography
    • North America
      • US
      • Canada
    • Europe
      • Germany
      • UK
    • APAC
      • China
      • Japan
      • Australia
      • India
    • South America
      • Brazil
      • Argentina
    • Middle East and Africa
      • UAE
    • Rest of World (ROW)

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.

Artificial Intelligence (AI) is revolutionizing marketing, with machine learning models at its core. Brands are building stronger connections with consumers through AI-driven personalization and predictive analytics. A/B testing and marketing analytics software enable data-driven insights, while conversion rate optimization and marketing automation workflows streamline campaigns. Data privacy regulations ensure transparency and accountability, shaping marketing strategies. Behavioral targeting and sentiment analysis provide deeper customer understanding, enhancing customer engagement. Predictive analytics and marketing ROI are key performance indicators, driving marketing budget allocation. Customer relationship management and marketing automation platforms facilitate seamless communication. Digital marketing agencies leverage AI for content marketing strategies and social media advertising.

Marketing technology stacks include AI marketing consultants, natural language processing, and programmatic advertising. Ethical AI considerations and algorithmic bias are crucial for building trust. Customer data platforms and content optimization algorithms enable multi-channel marketing, enriching the customer experience. Influencer marketing and marketing attribution models offer new opportunities for growth. Data security and data governance are essential for managing valuable marketing data. Virtual assistants and customer journey mapping help businesses understand and respond to customer needs effectively. Marketers must navigate the complex marketing landscape, balancing innovation and regulation.

 

Artificial Intelligence In Marketing Size

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The On-premises segment was valued at USD 5.46 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 36% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

Artificial Intelligence In Marketing Share by Geography

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In the marketing industry, Artificial Intelligence (AI) applications are expanding at an accelerated pace. The North American region, driven by favorable government policies, a large industrial base, and high purchasing power, particularly in the US and Canada, is leading this growth. Government entities in the US are investing significantly in AI, with the fiscal year 2023 budget request allocating USD1.8 billion for non-defense research and development. AI is being used operationally by some government agencies for security threat identification and large dataset review. Brands are leveraging AI for brand building, A/B testing, digital marketing strategy, data privacy regulations, conversion rate optimization, marketing analytics software, lead scoring, marketing automation workflows, marketing technology stack, customer engagement, predictive analytics, marketing ROI, customer relationship management, digital marketing agencies, sentiment analysis, data security, transparency and accountability, behavioral targeting, data governance, virtual assistants, customer journey mapping, influencer marketing, marketing attribution models, marketing analytics dashboards, AI-powered personalization, customer experience, multi-channel marketing, marketing budget allocation, data-driven insights, social media advertising, content marketing strategies, algorithmic bias, ethical AI considerations, marketing automation platforms, email marketing automation, search engine optimization, pay-per-click advertising, natural language processing, AI marketing consultants, programmatic advertising, and customer data platforms.

AI is revolutionizing content optimization algorithms, making marketing more effective and efficient. However, ethical considerations and data privacy regulations are crucial as AI becomes more prevalent in marketing.

 

Market Dynamics

Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

What are the key market drivers leading to the rise in the adoption of Artificial Intelligence Ining Industry?

  • The surge in the adoption of cloud-based applications and services serves as the primary catalyst for market growth. 
  • Artificial Intelligence (AI) is revolutionizing marketing, particularly in areas such as marketing automation platforms, email marketing automation, search engine optimization, pay-per-click advertising, and programmatic advertising. Ethical AI considerations are increasingly important as marketers utilize AI for customer data analysis and personalized content optimization using natural language processing and content optimization algorithms. AI marketing consultants help businesses navigate these complexities, ensuring compliance with data privacy regulations and ethical AI practices. Social media networks, including Facebook, LinkedIn, Instagram, and Snapchat, use AI to deliver targeted ads based on user demographics and behaviors.
  • In January 2021, there were approximately 4.20 billion social media users worldwide, with nearly 500 million new users joining in the past year. AI enables marketers to reach and engage these users more effectively and efficiently. By leveraging AI, businesses can gain valuable insights into customer preferences and tailor their marketing strategies accordingly.

What are the market trends shaping the Artificial Intelligence Ining Industry?

  • The ongoing market trend involves a significant increase in digitalization and the penetration of the internet. This development is mandatory for businesses seeking to remain competitive and reach a wider audience.
  • Artificial Intelligence (AI) is revolutionizing marketing strategies by enabling businesses to leverage machine learning models for brand building, conversion rate optimization, and customer engagement. Machine learning models analyze vast amounts of data from marketing analytics software, digital marketing campaigns, and marketing automation workflows to derive insights. These insights inform data-driven decisions, such as lead scoring and a/b testing, to enhance marketing efforts. Digitalization, fueled by the increasing internet penetration, has resulted in a wealth of user data. With 4.66 billion internet users worldwide as of April 2022, businesses have access to a vast pool of information. AI applications in marketing help businesses make the most of this data by automating tasks, improving data quality, and providing actionable insights.
  • Marketing strategies are becoming more data-driven as businesses seek to understand their customers better and engage them more effectively. AI's role in marketing is essential, as it enables businesses to process and analyze large volumes of data quickly and accurately. This, in turn, leads to more effective marketing campaigns, increased conversion rates, and improved customer satisfaction. Data privacy regulations, such as GDPR and CCPA, add an additional layer of complexity to marketing strategies. AI applications in marketing must comply with these regulations, ensuring that user data is collected, stored, and used ethically and transparently. Despite the challenges, the benefits of AI in marketing far outweigh the costs, making it an essential component of any modern marketing technology stack.

What challenges does the Artificial Intelligence Ining Industry face during its growth?

  • The absence of adequately skilled professionals poses a significant challenge to the expansion and growth of the industry. 
  • Artificial Intelligence (AI) is revolutionizing marketing, offering businesses advanced capabilities in predictive analytics, customer relationship management, and digital marketing. AI-driven predictive analytics enables businesses to anticipate consumer behavior and optimize marketing ROI. Sentiment analysis, a key AI application, provides insights into customer attitudes and preferences. However, the adoption of AI in marketing isn't without challenges. Data security and transparency are paramount, necessitating robust data governance and accountability measures. Behavioral targeting, fueled by AI, requires careful handling to avoid privacy concerns. Virtual assistants and customer journey mapping are other AI applications transforming marketing. Digital marketing agencies are increasingly integrating AI into their services to deliver personalized, immersive customer experiences.
  • Despite these benefits, the lack of expertise in implementing and managing AI systems remains a significant barrier for many businesses. Companies must invest in building the necessary skills in-house or partnering with experts to harness the full potential of AI in marketing. In conclusion, while AI presents numerous opportunities for marketing innovation, its implementation requires a strategic approach. Companies must carefully consider their use-cases, invest in data security and transparency, and develop the necessary expertise to fully leverage AI's capabilities. The future of marketing is immersive, harmonious, and customer-centric, and AI is the key to unlocking this future.

Exclusive Customer Landscape

The artificial intelligence in marketing forecasting report includes the adoption lifecycle of the market, covering from the innovator's stage to the laggard's stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the artificial intelligence in marketing report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.

Artificial Intelligence In Marketing Share by Geography

 Customer Landscape

Key Companies & Market Insights

Companies are implementing various strategies, such as strategic alliances, artificial intelligence in marketing forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.

Accenture Plc - The company specializes in AI-driven marketing solutions, enhancing marketing return on investment (MROI) through advanced data analysis and machine learning capabilities. 

The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:

  • Accenture Plc
  • Adobe Inc.
  • Alphabet Inc.
  • Amazon.com Inc.
  • Appier Group Inc.
  • CognitiveScale
  • GUMGUM Inc.
  • InsideSales
  • Intel Corp.
  • International Business Machines Corp.
  • Meta Platforms Inc.
  • Microsoft Corp.
  • NVIDIA Corp.
  • Oculus360
  • Oracle Corp.
  • Persado Holdings plc
  • Salesforce Inc.
  • Samsung Electronics Co. Ltd.
  • SAP SE

Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.

Recent Development and News in Artificial Intelligence In Marketing

  • In February 2024, IBM announced the launch of its new AI-powered marketing automation platform, "Max Watson," designed to help businesses personalize customer experiences at scale (IBM Press Release, 2024). This solution uses natural language processing and machine learning algorithms to analyze customer data, enabling marketers to deliver targeted campaigns and real-time recommendations.
  • In May 2024, Microsoft and Adobe formed a strategic partnership to integrate Microsoft's Azure AI capabilities into Adobe Experience Cloud, enhancing Adobe's marketing solutions with advanced AI features (Microsoft News Center, 2024). This collaboration aims to provide marketers with more accurate predictive analytics, automated content creation, and personalized customer experiences.
  • In October 2024, Amplify Partners led a USD50 million Series C funding round for Albert, an AI-driven marketing automation platform (Crunchbase News, 2024). This investment will support Albert's continued growth and expansion into new markets, enabling more businesses to leverage AI for marketing automation and optimization.
  • In January 2025, Google introduced a new AI-powered tool, "Google Marketing Platform," which combines Google Analytics and DoubleClick to offer marketers advanced machine learning capabilities for audience segmentation and campaign optimization (Google Blog, 2025). This integration aims to provide marketers with more accurate insights and streamlined workflows, enabling them to create more effective marketing strategies.

Research Analyst Overview

  • In today's business landscape, Artificial Intelligence (AI) is revolutionizing marketing, driving innovation and shaping market dynamics. Customer segmentation, fueled by AI, enables businesses to identify and target specific demographics more effectively. Image Recognition and AI-driven content creation engage customers with personalized experiences. Decision intelligence and marketing attribution provide insights into campaign performance and customer behavior. Cognitive computing and AI-powered marketing research uncover hidden trends and patterns. Voice recognition and speech processing enable conversational marketing, enhancing customer engagement. AI regulation and governance frameworks ensure ethical use of AI in marketing. Generative AI innovations offer personalized recommendations and dynamic pricing strategies.
  • Deep Learning and supply chain optimization streamline operations and improve efficiency. AI adoption continues to grow, with investment in AI talent and customer lifetime value driving business success. AI-powered customer service and computer vision improve customer experience and fraud detection. Ethical considerations and responsible AI practices remain crucial as AI becomes an integral part of marketing strategies. Dynamic pricing and campaign performance analysis provide real-time insights, enabling data-driven decision-making.

 

Dive into Technavio's robust research methodology, blending expert interviews, extensive data synthesis, and validated models for unparalleled Artificial Intelligence In Marketing insights. See full methodology.

Market Scope

Report Coverage

Details

Page number

143

Base year

2023

Historic period

2018-2022

Forecast period

2024-2028

Growth momentum & CAGR

Accelerate at a CAGR of 30.9%

Market growth 2024-2028

USD 41021.7 million

Market structure

Fragmented

YoY growth 2023-2024(%)

24.84

Key countries

US, China, UK, Japan, and Germany

Competitive landscape

Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks

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What are the Key Data Covered in this Artificial Intelligence In Marketing Research and Growth Report?

  • CAGR of the Artificial Intelligence Ining industry during the forecast period
  • Detailed information on factors that will drive the growth and forecasting between 2024 and 2028
  • Precise estimation of the size of the market and its contribution of the industry in focus to the parent market
  • Accurate predictions about upcoming growth and trends and changes in consumer behaviour
  • Growth of the market across North America, APAC, Europe, Middle East and Africa, and South America
  • Thorough analysis of the market's competitive landscape and detailed information about companies
  • Comprehensive analysis of factors that will challenge the artificial intelligence in marketing growth of industry companies

We can help! Our analysts can customize this artificial intelligence in marketing research report to meet your requirements.

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1 Executive Summary

  • 1.1 Market overview
    • Executive Summary - Chart on Market Overview
    • Executive Summary - Data Table on Market Overview
    • Executive Summary - Chart on Global Market Characteristics
    • Executive Summary - Chart on Market by Geography
    • Executive Summary - Chart on Market Segmentation by Deployment
    • Executive Summary - Chart on Incremental Growth
    • Executive Summary - Data Table on Incremental Growth
    • Executive Summary - Chart on Company Market Positioning

2 Market Landscape

  • 2.1 Market ecosystem
    • Parent Market
    • Data Table on - Parent Market
  • 2.2 Market characteristics
    • Market characteristics analysis
  • 2.3 Value chain analysis
    • Value Chain Analysis

3 Market Sizing

  • 3.1 Market definition
    • Offerings of companies included in the market definition
  • 3.2 Market segment analysis
    • Market segments
  • 3.3 Market size 2023
    • 3.4 Market outlook: Forecast for 2023-2028
      • Chart on Global - Market size and forecast 2023-2028 ($ million)
      • Data Table on Global - Market size and forecast 2023-2028 ($ million)
      • Chart on Global Market: Year-over-year growth 2023-2028 (%)
      • Data Table on Global Market: Year-over-year growth 2023-2028 (%)

    4 Historic Market Size

    • 4.1 Global Artificial Intelligence In Marketing Market 2018 - 2022
      • Historic Market Size - Data Table on Global Artificial Intelligence In Marketing Market 2018 - 2022 ($ million)
    • 4.2 Deployment segment analysis 2018 - 2022
      • Historic Market Size - Deployment Segment 2018 - 2022 ($ million)
    • 4.3 Geography segment analysis 2018 - 2022
      • Historic Market Size - Geography Segment 2018 - 2022 ($ million)
    • 4.4 Country segment analysis 2018 - 2022
      • Historic Market Size - Country Segment 2018 - 2022 ($ million)

    5 Five Forces Analysis

    • 5.1 Five forces summary
      • Five forces analysis - Comparison between 2023 and 2028
    • 5.2 Bargaining power of buyers
      • Bargaining power of buyers - Impact of key factors 2023 and 2028
    • 5.3 Bargaining power of suppliers
      • Bargaining power of suppliers - Impact of key factors in 2023 and 2028
    • 5.4 Threat of new entrants
      • Threat of new entrants - Impact of key factors in 2023 and 2028
    • 5.5 Threat of substitutes
      • Threat of substitutes - Impact of key factors in 2023 and 2028
    • 5.6 Threat of rivalry
      • Threat of rivalry - Impact of key factors in 2023 and 2028
    • 5.7 Market condition
      • Chart on Market condition - Five forces 2023 and 2028

    6 Market Segmentation by Deployment

    • 6.1 Market segments
      • Chart on Deployment - Market share 2023-2028 (%)
      • Data Table on Deployment - Market share 2023-2028 (%)
    • 6.2 Comparison by Deployment
      • Chart on Comparison by Deployment
      • Data Table on Comparison by Deployment
    • 6.3 On-premises - Market size and forecast 2023-2028
      • Chart on On-premises - Market size and forecast 2023-2028 ($ million)
      • Data Table on On-premises - Market size and forecast 2023-2028 ($ million)
      • Chart on On-premises - Year-over-year growth 2023-2028 (%)
      • Data Table on On-premises - Year-over-year growth 2023-2028 (%)
    • 6.4 Cloud - Market size and forecast 2023-2028
      • Chart on Cloud - Market size and forecast 2023-2028 ($ million)
      • Data Table on Cloud - Market size and forecast 2023-2028 ($ million)
      • Chart on Cloud - Year-over-year growth 2023-2028 (%)
      • Data Table on Cloud - Year-over-year growth 2023-2028 (%)
    • 6.5 Market opportunity by Deployment
      • Market opportunity by Deployment ($ million)
      • Data Table on Market opportunity by Deployment ($ million)

    7 Market Segmentation by Application

    • 7.1 Market segments
      • Chart on Application - Market share (2023-2028) (%)
      • Data Table on Application - Market share (2023-2028) (%)
      • Market opportunity by $segment_name ($ million)
      • Data Table on Market opportunity by $segment_name ($ million)
    • 7.2 Comparison by Application
      • Chart on Comparison by Application
      • Data Table on Comparison by Application
    • 7.3 Social Media Advertising - Market size and forecast (2023-2028)
      • Chart on Social Media Advertising - Market size and forecast (2023-2028) ($ million)
      • Data Table on Social Media Advertising - Market size and forecast (2023-2028) ($ million)
      • Chart on Social Media Advertising - Year-over-year growth (2023-2028) (%)
      • Data Table on Social Media Advertising - Year-over-year growth (2023-2028) (%)
    • 7.4 Search Engine Marketing/ Search Advertising - Market size and forecast (2023-2028)
      • Chart on Search Engine Marketing/ Search Advertising - Market size and forecast (2023-2028) ($ million)
      • Data Table on Search Engine Marketing/ Search Advertising - Market size and forecast (2023-2028) ($ million)
      • Chart on Search Engine Marketing/ Search Advertising - Year-over-year growth (2023-2028) (%)
      • Data Table on Search Engine Marketing/ Search Advertising - Year-over-year growth (2023-2028) (%)
    • 7.5 Virtual Assistant - Market size and forecast (2023-2028)
      • Chart on Virtual Assistant - Market size and forecast (2023-2028) ($ million)
      • Data Table on Virtual Assistant - Market size and forecast (2023-2028) ($ million)
      • Chart on Virtual Assistant - Year-over-year growth (2023-2028) (%)
      • Data Table on Virtual Assistant - Year-over-year growth (2023-2028) (%)
    • 7.6 Content Curation - Market size and forecast (2023-2028)
      • Chart on Content Curation - Market size and forecast (2023-2028) ($ million)
      • Data Table on Content Curation - Market size and forecast (2023-2028) ($ million)
      • Chart on Content Curation - Year-over-year growth (2023-2028) (%)
      • Data Table on Content Curation - Year-over-year growth (2023-2028) (%)
    • 7.7 Sales & Marketing Automation - Market size and forecast (2023-2028)
      • Chart on Sales & Marketing Automation - Market size and forecast (2023-2028) ($ million)
      • Data Table on Sales & Marketing Automation - Market size and forecast (2023-2028) ($ million)
      • Chart on Sales & Marketing Automation - Year-over-year growth (2023-2028) (%)
      • Data Table on Sales & Marketing Automation - Year-over-year growth (2023-2028) (%)
    • 7.8 Analytics Platform - Market size and forecast (2023-2028)
      • Chart on Analytics Platform - Market size and forecast (2023-2028) ($ million)
      • Data Table on Analytics Platform - Market size and forecast (2023-2028) ($ million)
      • Chart on Analytics Platform - Year-over-year growth (2023-2028) (%)
      • Data Table on Analytics Platform - Year-over-year growth (2023-2028) (%)
    • 7.9 Others - Market size and forecast (2023-2028)
      • Chart on Others - Market size and forecast (2023-2028) ($ million)
      • Data Table on Others - Market size and forecast (2023-2028) ($ million)
      • Chart on Others - Year-over-year growth (2023-2028) (%)
      • Data Table on Others - Year-over-year growth (2023-2028) (%)

    8 Market Segmentation by Technology

    • 8.1 Market segments
      • Chart on Technology - Market share (2023-2028) (%)
      • Data Table on Technology - Market share (2023-2028) (%)
    • 8.2 Comparison by Technology
      • Chart on Comparison by Technology
      • Data Table on Comparison by Technology
    • 8.3 Machine Learning - Market size and forecast (2023-2028)
      • Chart on Machine Learning - Market size and forecast (2023-2028) ($ million)
      • Data Table on Machine Learning - Market size and forecast (2023-2028) ($ million)
      • Chart on Machine Learning - Year-over-year growth (2023-2028) (%)
      • Data Table on Machine Learning - Year-over-year growth (2023-2028) (%)
    • 8.4 Natural Language Processing - Market size and forecast (2023-2028)
      • Chart on Natural Language Processing - Market size and forecast (2023-2028) ($ million)
      • Data Table on Natural Language Processing - Market size and forecast (2023-2028) ($ million)
      • Chart on Natural Language Processing - Year-over-year growth (2023-2028) (%)
      • Data Table on Natural Language Processing - Year-over-year growth (2023-2028) (%)
    • 8.5 Computer Vision - Market size and forecast (2023-2028)
      • Chart on Computer Vision - Market size and forecast (2023-2028) ($ million)
      • Data Table on Computer Vision - Market size and forecast (2023-2028) ($ million)
      • Chart on Computer Vision - Year-over-year growth (2023-2028) (%)
      • Data Table on Computer Vision - Year-over-year growth (2023-2028) (%)
    • 8.6 Others - Market size and forecast (2023-2028)
      • Chart on Others - Market size and forecast (2023-2028) ($ million)
      • Data Table on Others - Market size and forecast (2023-2028) ($ million)
      • Chart on Others - Year-over-year growth (2023-2028) (%)
      • Data Table on Others - Year-over-year growth (2023-2028) (%)
    • 8.7 Market opportunity by Technology
      • Market opportunity by $segment_name ($ million)
      • Data Table on Market opportunity by $segment_name ($ million)

    9 Customer Landscape

    • 9.1 Customer landscape overview
      • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

    10 Geographic Landscape

    • 10.1 Geographic segmentation
      • Chart on Market share by geography 2023-2028 (%)
      • Data Table on Market share by geography 2023-2028 (%)
    • 10.2 Geographic comparison
      • Chart on Geographic comparison
      • Data Table on Geographic comparison
    • 10.3 North America - Market size and forecast 2023-2028
      • Chart on North America - Market size and forecast 2023-2028 ($ million)
      • Data Table on North America - Market size and forecast 2023-2028 ($ million)
      • Chart on North America - Year-over-year growth 2023-2028 (%)
      • Data Table on North America - Year-over-year growth 2023-2028 (%)
    • 10.4 APAC - Market size and forecast 2023-2028
      • Chart on APAC - Market size and forecast 2023-2028 ($ million)
      • Data Table on APAC - Market size and forecast 2023-2028 ($ million)
      • Chart on APAC - Year-over-year growth 2023-2028 (%)
      • Data Table on APAC - Year-over-year growth 2023-2028 (%)
    • 10.5 Europe - Market size and forecast 2023-2028
      • Chart on Europe - Market size and forecast 2023-2028 ($ million)
      • Data Table on Europe - Market size and forecast 2023-2028 ($ million)
      • Chart on Europe - Year-over-year growth 2023-2028 (%)
      • Data Table on Europe - Year-over-year growth 2023-2028 (%)
    • 10.6 Middle East and Africa - Market size and forecast 2023-2028
      • Chart on Middle East and Africa - Market size and forecast 2023-2028 ($ million)
      • Data Table on Middle East and Africa - Market size and forecast 2023-2028 ($ million)
      • Chart on Middle East and Africa - Year-over-year growth 2023-2028 (%)
      • Data Table on Middle East and Africa - Year-over-year growth 2023-2028 (%)
    • 10.7 South America - Market size and forecast 2023-2028
      • Chart on South America - Market size and forecast 2023-2028 ($ million)
      • Data Table on South America - Market size and forecast 2023-2028 ($ million)
      • Chart on South America - Year-over-year growth 2023-2028 (%)
      • Data Table on South America - Year-over-year growth 2023-2028 (%)
    • 10.8 US - Market size and forecast 2023-2028
      • Chart on US - Market size and forecast 2023-2028 ($ million)
      • Data Table on US - Market size and forecast 2023-2028 ($ million)
      • Chart on US - Year-over-year growth 2023-2028 (%)
      • Data Table on US - Year-over-year growth 2023-2028 (%)
    • 10.9 China - Market size and forecast 2023-2028
      • Chart on China - Market size and forecast 2023-2028 ($ million)
      • Data Table on China - Market size and forecast 2023-2028 ($ million)
      • Chart on China - Year-over-year growth 2023-2028 (%)
      • Data Table on China - Year-over-year growth 2023-2028 (%)
    • 10.10 UK - Market size and forecast 2023-2028
      • Chart on UK - Market size and forecast 2023-2028 ($ million)
      • Data Table on UK - Market size and forecast 2023-2028 ($ million)
      • Chart on UK - Year-over-year growth 2023-2028 (%)
      • Data Table on UK - Year-over-year growth 2023-2028 (%)
    • 10.11 Japan - Market size and forecast 2023-2028
      • Chart on Japan - Market size and forecast 2023-2028 ($ million)
      • Data Table on Japan - Market size and forecast 2023-2028 ($ million)
      • Chart on Japan - Year-over-year growth 2023-2028 (%)
      • Data Table on Japan - Year-over-year growth 2023-2028 (%)
    • 10.12 Germany - Market size and forecast 2023-2028
      • Chart on Germany - Market size and forecast 2023-2028 ($ million)
      • Data Table on Germany - Market size and forecast 2023-2028 ($ million)
      • Chart on Germany - Year-over-year growth 2023-2028 (%)
      • Data Table on Germany - Year-over-year growth 2023-2028 (%)
    • 10.13 Market opportunity by geography
      • Market opportunity by geography ($ million)
      • Data Tables on Market opportunity by geography ($ million)

    11 Drivers, Challenges, and Opportunity/Restraints

    • 11.1 Market drivers
      • 11.2 Market challenges
        • 11.3 Impact of drivers and challenges
          • Impact of drivers and challenges in 2023 and 2028
        • 11.4 Market opportunities/restraints

          12 Competitive Landscape

          • 12.1 Overview
            • 12.2 Competitive Landscape
              • Overview on criticality of inputs and factors of differentiation
            • 12.3 Landscape disruption
              • Overview on factors of disruption
            • 12.4 Industry risks
              • Impact of key risks on business

            13 Competitive Analysis

            • 13.1 Companies profiled
              • Companies covered
            • 13.2 Market positioning of companies
              • Matrix on companies position and classification
            • 13.3 Accenture Plc
              • Accenture Plc - Overview
              • Accenture Plc - Business segments
              • Accenture Plc - Key news
              • Accenture Plc - Key offerings
              • Accenture Plc - Segment focus
            • 13.4 Adobe Inc.
              • Adobe Inc. - Overview
              • Adobe Inc. - Business segments
              • Adobe Inc. - Key news
              • Adobe Inc. - Key offerings
              • Adobe Inc. - Segment focus
            • 13.5 Alphabet Inc.
              • Alphabet Inc. - Overview
              • Alphabet Inc. - Business segments
              • Alphabet Inc. - Key offerings
              • Alphabet Inc. - Segment focus
            • 13.6 Amazon.com Inc.
              • Amazon.com Inc. - Overview
              • Amazon.com Inc. - Business segments
              • Amazon.com Inc. - Key news
              • Amazon.com Inc. - Key offerings
              • Amazon.com Inc. - Segment focus
            • 13.7 International Business Machines Corp.
              • International Business Machines Corp. - Overview
              • International Business Machines Corp. - Business segments
              • International Business Machines Corp. - Key news
              • International Business Machines Corp. - Key offerings
              • International Business Machines Corp. - Segment focus
            • 13.8 Meta Platforms Inc.
              • Meta Platforms Inc. - Overview
              • Meta Platforms Inc. - Business segments
              • Meta Platforms Inc. - Key news
              • Meta Platforms Inc. - Key offerings
              • Meta Platforms Inc. - Segment focus
            • 13.9 Microsoft Corp.
              • Microsoft Corp. - Overview
              • Microsoft Corp. - Business segments
              • Microsoft Corp. - Key news
              • Microsoft Corp. - Key offerings
              • Microsoft Corp. - Segment focus
            • 13.10 NVIDIA Corp.
              • NVIDIA Corp. - Overview
              • NVIDIA Corp. - Business segments
              • NVIDIA Corp. - Key news
              • NVIDIA Corp. - Key offerings
              • NVIDIA Corp. - Segment focus
            • 13.11 Oracle Corp.
              • Oracle Corp. - Overview
              • Oracle Corp. - Business segments
              • Oracle Corp. - Key news
              • Oracle Corp. - Key offerings
              • Oracle Corp. - Segment focus
            • 13.12 Salesforce Inc.
              • Salesforce Inc. - Overview
              • Salesforce Inc. - Product / Service
              • Salesforce Inc. - Key news
              • Salesforce Inc. - Key offerings

            14 Appendix

            • 14.1 Scope of the report
              • 14.2 Inclusions and exclusions checklist
                • Inclusions checklist
                • Exclusions checklist
              • 14.3 Currency conversion rates for US$
                • Currency conversion rates for US$
              • 14.4 Research methodology
                • Research methodology
              • 14.5 Data procurement
                • Information sources
              • 14.6 Data validation
                • Data validation
              • 14.7 Validation techniques employed for market sizing
                • Validation techniques employed for market sizing
              • 14.8 Data synthesis
                • Data synthesis
              • 14.9 360 degree market analysis
                • 360 degree market analysis
              • 14.10 List of abbreviations
                • List of abbreviations

              Research Methodology

              Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.

              INFORMATION SOURCES

              Primary sources

              • Manufacturers and suppliers
              • Channel partners
              • Industry experts
              • Strategic decision makers

              Secondary sources

              • Industry journals and periodicals
              • Government data
              • Financial reports of key industry players
              • Historical data
              • Press releases

              DATA ANALYSIS

              Data Synthesis

              • Collation of data
              • Estimation of key figures
              • Analysis of derived insights

              Data Validation

              • Triangulation with data models
              • Reference against proprietary databases
              • Corroboration with industry experts

              REPORT WRITING

              Qualitative

              • Market drivers
              • Market challenges
              • Market trends
              • Five forces analysis

              Quantitative

              • Market size and forecast
              • Market segmentation
              • Geographical insights
              • Competitive landscape

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              Frequently Asked Questions

              Artificial Intelligence Ining market growth will increase by $ 41021.7 mn during 2024-2028.

              The Artificial Intelligence Ining market is expected to grow at a CAGR of 30.9% during 2024-2028.

              Artificial Intelligence Ining market is segmented by Deployment( On-premises, Cloud) Application( Social Media Advertising, Search Engine Marketing/ Search Advertising, Virtual Assistant, Content Curation, Sales & Marketing Automation)

              Accenture Plc, Adobe Inc., Alphabet Inc., Amazon.com Inc., Appier Group Inc., CognitiveScale, GUMGUM Inc., InsideSales, Intel Corp., International Business Machines Corp., Meta Platforms Inc., Microsoft Corp., NVIDIA Corp., Oculus360, Oracle Corp., Persado Holdings plc, Salesforce Inc., Samsung Electronics Co. Ltd., SAP SE are a few of the key vendors in the Artificial Intelligence Ining market.

              APAC will register the highest growth rate of 36% among the other regions. Therefore, the Artificial Intelligence Ining market in APAC is expected to garner significant business opportunities for the vendors during the forecast period.

              US, China, UK, Japan, Germany

              • Rise in adoption of cloud-based applications and servicesThere has been an incredible surge in social media activity in recent years. Nearly half a billion new social media users joined the world social media networks at the start of 2021 is the driving factor this market.
              • according to DIGITAL 2021. Furthermore is the driving factor this market.
              • there were 4.20 billion social media users globally in January 2021. This number has risen by 490 million from 2020 is the driving factor this market.
              • marking a 13% increase year over year. Today social media networks rely heavily on AI. Marketers can conduct paid advertising to platform users based on demographic and behavioral targeting on social networks including Facebook is the driving factor this market.
              • LinkedIn is the driving factor this market.
              • Instagram is the driving factor this market.
              • and Snapchat. According to DIGITAL 2020 is the driving factor this market.
              • in January 2020 is the driving factor this market.
              • advertisers could reach 1.95 billion individuals on Facebook is the driving factor this market.
              • 928.5 million on Instagram is the driving factor this market.
              • 663.3 million on LinkedIn is the driving factor this market.
              • 381.5 million on Snapchat is the driving factor this market.
              • 339.6 million on Twitter is the driving factor this market.
              • and 169.0 million on Pinterest using advertisements. In 2020 is the driving factor this market.
              • a total of $40 billion was spent on social media advertisements in the US. The growing usage of social media for advertising will drive the global AI in marketing market growth during the forecast period. is the driving factor this market.

              The Artificial Intelligence Ining market vendors should focus on grabbing business opportunities from the On-premises segment as it accounted for the largest market share in the base year.