Global Food Pathogen Testing Market Size, Share & Industry Trends Analysis Report By Technology (Rapid, and Traditional), By Type (Salmonella, E), Coli, Listeria, Campylobacter, and Others), By Food Tested, By Regional Outlook and Forecast, 2023 - 2030

Global Generative AI In Marketing Market Size, Share & Industry Trends Analysis Report By System Type (Text Models, and Multimodal Models), By Application, By End-use, By Regional Outlook and Forecast, 2023 - 2030

The Global Generative AI In Marketing Market size is expected to reach $19.1 billion by 2030, rising at a market growth of 34% CAGR during the forecast period.

Generative AI's ability to create, personalize, and optimize content for various channels enhances the reach and impact of multichannel marketing efforts, helping businesses engage with their audiences effectively in an increasingly diverse and competitive digital landscape, and as such would lead to Content generation occupying nearly 1/5 of the total market share by Application segment by 2030. Generative AI translates content from one language to another, expanding the reach of marketing campaigns to international markets. Additionally, it can help localize content to resonate with specific cultural nuances. AI-generated content is adapted and customized for various marketing channels, including websites, social media, email marketing, and more. This ensures that content remains relevant and consistent across platforms. AI-powered tools curate content from diverse sources, allowing marketers to share relevant and trending content with their audiences. This helps maintain a content-rich online presence.

The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For Instance, In June, 2023, Adobe, Inc. extended its partnership with IBM Corporation to assist brands in effectively expediting their content production processes, by utilizing advanced AI technologies, including Adobe Sensei GenAI services and Adobe Firefly. Furthermore, In August, 2023, Microsoft Corporation joined hands with IBM Corporation to assist mutual clients in expediting the implementation of generative AI. The companies aimed to drive innovation in their business processes and effectively expand the use of generative AI that would help customers responsibly accelerate the deployment of generative AI.

Based on the Analysis presented in the KBV Cardinal matrix; Google LLC and Microsoft Corporation are the forerunners in the Market. In August 2023, Google Cloud, a cloud platform offered by Google LLC, partnered with Contextual AI, Inc., the company building AI that works for work, to develop, operate, and expand its expanding enterprise, as well as to train its extensive language models (LLMs). The company provides customers with unmatched flexibility and performance and is enthusiastic about backing Contextual AI's exceptional team of AI visionaries as the company develops next-generation LLMs for the enterprise using Google Cloud. Companies such as Adobe, Inc., IBM Corporation, Amazon Web Services, Inc. are some of the key innovators in the Market.

Market Growth Factors

Advancements In AI Technology

Continuous advancements in generative AI, including natural language processing (NLP) and computer vision, have made it more capable of producing high-quality content and understanding context, leading to improved marketing outcomes. Improvements in deep learning and natural language processing have led to AI models that can generate higher-quality written content, including blog posts, product descriptions, and social media posts. This helps marketers maintain a consistent and professional online presence.AI models have become better at understanding and analyzing user behavior, preferences, and historical data. This enables marketers to deliver highly personalized content and recommendations, improving user engagement and conversion rates. AI models generate images and videos, expanding the range of automated marketing content. This is particularly valuable for visual platforms like social media and e-commerce websites.

Growing Use in Content Generation

AI helps marketers expand their libraries by summarizing lengthy articles, translating content into multiple languages, and generating content for various niches and topics. Generative AI automatically generates a wide range of content, including blog posts, articles, product descriptions, social media posts, and more. This automation conserves time and resources while ensuring content consistency. Generative AI translates content from one language to another, expanding the reach of marketing campaigns to international markets. Additionally, it can help localize content to resonate with specific cultural nuances. AI-generated content is adapted and customized for various marketing channels, including websites, social media, email marketing, and more. This ensures that content remains relevant and consistent across platforms. AI-powered tools curate content from diverse sources, allowing marketers to share relevant and trending content with their audiences. This helps maintain a content-rich online presence.

Market Restraining Factors

Issues Pertaining to Data Privacy and Security

Using customer data for AI-driven personalization and content generation raises data privacy and security concerns. Marketers must navigate strict regulations like GDPR and CCPA to ensure compliance. Generative AI often relies on large datasets, some of which contain sensitive customer information. Safeguarding this data is paramount to prevent data breaches and privacy violations. Determining who owns the data used to train generative AI models and obtaining proper consent for data collection and usage are complex issues. Businesses navigate legal and ethical considerations regarding data ownership and permissions. Ensuring the security of AI models, including protecting against adversarial attacks, is a critical consideration. Therefore, the market’s growth can be hampered due to these data security and privacy issues.

Component Outlook

By component, the market is categorized into service and software. The service segment covered a considerable revenue share in the market in 2022. Automated content development for multichannel marketing is one of the major marketing trends in the market. The purpose of AI-powered systems is to generate compelling and consistent content across multiple channels, such as social media, emails, and websites. This trend saves marketers time and ensures a consistent brand message, enabling them to communicate with their audiences across multiple channels effectively. The generated content can be tailored to the particular needs of each channel, thereby increasing its impact and engagement.

System Type Outlook

Based on system type, the market is classified into text models and multimodal models. The multimodal models segment acquired a substantial revenue share in the market in 2022. The emergence of interactive consumer engagement through AI-driven visuals is a notable trend in multimodal models. These models can generate images, videos, and visual content that respond to user actions and are interactive. By enabling direct customer engagement with marketing content, such as virtual product trials and immersive product presentations, this trend improves user experiences. With the increasing prevalence of AI-enabled interactive visuals, brands engage with their audiences differently, resulting in memorable and influential interactions.

Application Outlook

The search engine optimization (SEO) segment garnered a significant revenue share in the market in 2022. The landscape of SEO strategies is changing due to the increased need for high-quality and timely information. AI-powered systems can generate meticulously optimized articles, blog posts, and website content saturated with relevant keywords and adhere to the most recent SEO guidelines. This trend enables marketers to provide valuable content consistently, improve the visibility of their web presence in search results, and ultimately encourage the rise of organic traffic. With the increasing emphasis on content quality, generative AI emerges as a scalable solution to cater to the demands of modern SEO practices.

Content Generation Type Outlook

Under content generation type, the market is segmented into text generation, image/video generation, and audio generation. In 2022, the text generation segment registered the maximum revenue share in the market. Generative AI creates social media posts, captions, and hashtags, ensuring a consistent online presence and freeing marketers from routine posting tasks. AI generates personalized email content based on user data and behaviors, including subject lines and body text, leading to higher open and click-through rates. Generative AI in marketing saves time and resources and enables marketers to deliver more personalized, data-driven, and engaging content to their target audiences. As the marketing industry evolves, integrating text generation into marketing strategies will likely fuel growth by improving efficiency and effectiveness.

End-Use Outlook

By end-use, the market is fragmented into media & entertainment, IT & telecommunications, healthcare, automotive & transportation, BFSI, retail & e-commerce, and others. The media and entertainment segment covered a considerable revenue share in the market in 2022. Generative AI is transforming the media and entertainment industry as the desire for personalized content consumption increases. AI-powered systems can analyze user preferences, viewing patterns, and content interactions to create individualized recommendations for books, movies, music, and television shows. This change increases platform loyalty and user engagement while also increasing content enjoyment. Generative AI emerges as a significant tool to respond to the diverse entertainment preferences of individuals as viewers demand more personalized interactions.

Regional Outlook

In 2022, the North America region led the market by generating the highest revenue share. The expansion of AI-driven customer interaction strategies is a significant trend in the North American market. Businesses are incorporating generative AI to create chatbots, virtual assistants, and personalized recommendations that engage with customers immediately. This trend improves customer satisfaction, streamlines the support process, fosters stronger connections, strengthening brand allegiance. Businesses in North America are improving their capacity to deal with the growing need for seamless and efficient interactions as they implement AI for customer engagement faster.

The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include Adobe, Inc., Amazon Web Services, Inc. (Amazon.com, Inc.), Genie AI, Inc., Google LLC (Alphabet Inc.), IBM Corporation, Microsoft Corporation, MOSTLY AI Solutions MP GmbH, Synthesis AI, Inc., Paige AI, Inc. and Rephrase.ai.

Recent Strategies Deployed in Generative AI In Marketing Market

Partnerships, Collaborations, and Agreements:

Aug-2023: Google Cloud, a cloud platform offered by Google LLC, partnered with Contextual AI, Inc., the company building AI that works for work, to develop, operate, and expand its expanding enterprise, as well as to train its extensive language models (LLMs). The company provides customers with unmatched flexibility and performance and is enthusiastic about backing Contextual AI's exceptional team of AI visionaries as the company develops next-generation LLMs for the enterprise using Google Cloud.

Aug-2023: Microsoft Corporation joined hands with IBM Corporation to assist mutual clients in expediting the implementation of generative AI. The companies aimed to introduce a fresh offering that equips clients with the necessary expertise and technology to drive innovation in their business processes and effectively expand the use of generative AI that would help customers responsibly accelerate the deployment of generative AI.

Aug-2023: Microsoft Corporation teamed up with Kyndryl Inc., the world’s largest technology infrastructure services provider, to facilitate the integration of enterprise-level generative AI solutions for businesses hosted on The Microsoft Cloud. In collaboration with Kyndryl, the company shares a common vision to responsibly empower customers to collectively explore, design, and implement generative AI solutions throughout their enterprises. This approach aims to help them realize tangible business value.

Jul-2023: Google LLC extended its partnership with GrowthLoop Technology to revolutionize marketing using advanced analytics and artificial intelligence (AI). In partnership, GrowthLoop and Google Cloud would assist businesses in employing generative AI to expedite the realization of value and would provide more pertinent content to end customers.

Jul-2023: Microsoft Corporation collaborated with Capgemini to enable organizations to rapidly expand their responsible and sustainable generative AI capabilities to support their business growth. This initiative would empower customers from various sectors to swiftly adopt AI solutions, enhancing employee efficiency and productivity.

Jun-2023: Adobe, Inc. extended its partnership with IBM Corporation to assist brands in effectively expediting their content production processes, by utilizing advanced AI technologies, including Adobe Sensei GenAI services and Adobe Firefly. Through the collaboration of Adobe's AI-powered Content Supply Chain solution and IBM's user-focused experience design, the company can facilitate the exploration of entirely fresh creative potentials. These innovations are designed to bring satisfaction to both employees and customers, hasten adoption, and lead to improved business decision-making.

Jun-2023: Adobe, Inc. extended its partnership with Omnicom Group Inc. through a collaborative effort, the companies are launching an initiative aimed at providing enterprise-level generative AI capabilities to their mutual clients. This combination would enable the production of brand-consistent content that assists marketers in achieving more favorable results. Furthermore, this access would empower Omnicom and Adobe to integrate the capabilities of Firefly into client ecosystems, enabling the generation of content that aligns with each brand's distinctive style and language through the use of APIs, thereby enhancing automation.

Jun-2023: Amazon Web Services, Inc. teamed up with Accenture, Inc. to assist clients in harnessing the potential of large language models (LLMs) and generative AI to expedite business transformation, making use of the most extensive and widely adopted cloud platform available. By offering customers a wide range of options, flexibility, and robust security measures for implementing generative AI on AWS, the company can rapidly and responsibly roll out industry-specific applications tailored to their unique use cases.

Jun-2023: Google LLC extended its partnership with HCL Technologies Limited, a specialist global technology company, to assist businesses in harnessing the capabilities of generative artificial intelligence (AI) and collaboratively create solutions using Google Cloud's generative AI technologies. The additional investments and resources provided by HCLTech would enable enterprises to expedite the implementation, expansion, and realization of value from generative AI. This support would empower businesses to undergo transformative changes in a bold and responsible manner.

Jun-2023: IBM Corporation extended its partnership with Adobe, Inc. to assist brands in achieving a more rapid advancement of their content supply chains by incorporating cutting-edge AI technologies, such as Adobe Sensei GenAI services and Adobe Firefly. The company aims to assist marketers in the more efficient development of AI-driven experiences. This would be accomplished by establishing the necessary safeguards to ensure that AI adheres to trust and transparency principles, thereby upholding brand consistency and integrity.

May-2023: IBM Corporation entered a partnership with SAP SE to integrate IBM's Watson artificial intelligence (AI) engine into its complete suite of solutions, encompassing SAP S/4 HANA, S/4 HANA Cloud, SAP Business One, and SAP Business ByDesign. The partnership aimed to enhance the efficiency of businesses and expedite innovation, with a particular focus on industries such as retail, manufacturing, and utilities.

Mar-2023: Adobe, Inc. formed a partnership with NVIDIA Corporation to harness the potential of generative AI for the continued enhancement of creative processes. The company is excited about exploring how generative AI can provide customers with greater creative choices, expedite their tasks, and facilitate the expansion of content production capabilities.

Product Launches and Product Expansions:

Sep-2023: IBM Corporation introduced a new feature for its Watsonx data science platform. The unveiled models, known as the Granite series models, are conventional large language models (LLMs), similar to OpenAI's GPT-4 and ChatGPT. These models would possess the capability to summarize, analyze, and generate text.

Sep-2023: Microsoft Corporation introduced the Bing Chat platform, with the introduction of Compare & Decide Ads aimed at enhancing user engagement. The inaugural Ads for Chat API partners include Snapchat My AI and Axel Springer. Additionally, Microsoft Advertising is set to introduce Copilot, a tool that streamlines ad campaign creation, with an open beta release on the horizon.

May-2023: Google LLC revealed new ad creation options, customized Search ads based on website text, and more. The company's new Product Studio brings the advantages of generative AI to businesses of all scales, making it effortless to generate distinctive and customized product visuals at no cost and derive greater value from their existing image assets.

Mar-2023: Adobe, Inc. launched the Firefly generative AI model series, Adobe Sensei Generative AI Services. Adobe's Generative AI Services would seamlessly integrate into Adobe Experience Cloud, serving as a collaborator for customer experience teams. The primary role is to empower end-to-end marketing workflows, resulting in a significant enhancement of productivity and efficiency within the enterprise.

Scope of the Study

Market Segments covered in the Report:

By Component

• Software
• Service

By System Type

• Text Models
• Multimodal Models

By Application

• Content Generation
• Text Generation
• Image/Video Generation
• Audio Generation
• Search Engine Optimization (SEO)
• Social Media Marketing
• Lead Nurturing & Lead Scoring
• Reporting & Analytics
• Others

By End-use

• Retail & E-commerce
• IT & Telecommunications
• Healthcare
• Automotive & Transportation
• Media & Entertainment
• BFSI
• Others

By Geography

• North America
• US
• Canada
• Mexico
• Rest of North America
• Europe
• Germany
• UK
• France
• Russia
• Spain
• Italy
• Rest of Europe
• Asia Pacific
• China
• Japan
• India
• South Korea
• Singapore
• Malaysia
• Rest of Asia Pacific
• LAMEA
• Brazil
• Argentina
• UAE
• Saudi Arabia
• South Africa
• Nigeria
• Rest of LAMEA

Companies Profiled

• Adobe, Inc.
• Amazon Web Services, Inc. (Amazon.com, Inc.)
• Genie AI, Inc.
• Google LLC (Alphabet Inc.)
• IBM Corporation
• Microsoft Corporation
• MOSTLY AI Solutions MP GmbH
• Synthesis AI, Inc.
• Paige AI, Inc.
• Rephrase.ai

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