Global AI Marketing Tool Market – Industry Trends and Forecast to 2031

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Global AI Marketing Tool Market – Industry Trends and Forecast to 2031

  • ICT
  • Upcoming Report
  • May 2024
  • Global
  • 350 Pages
  • No of Tables: 220
  • No of Figures: 60

Global AI Marketing Tool Market

Market Size in USD Billion

CAGR :  % Diagram

Diagram Forecast Period
2024 –2031
Diagram Market Size (Base Year)
USD 12.50 Billion
Diagram Market Size (Forecast Year)
USD 72.15 Billion
Diagram CAGR
%
Diagram Major Markets Players
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Global AI Marketing Tool Market, By Offering (Software and Services), Technology (Natural Language Processing, Machine Learning, Computer Vision and Others) - Industry Trends and Forecast to 2031.

AI Marketing Tool Market

AI Marketing Tool Market Analysis and Size

Artificial intelligence (AI) has transformed marketing by leveraging data analysis, machine learning, and automation. AI-powered tools enable marketers to process vast amounts of data, extract valuable insights, and make data-driven decisions. Personalization and targeted campaigns are made possible through AI's ability to segment customers based on preferences and behaviors. Predictive analytics helps forecast trends and optimize strategies, while chatbots enhance customer support. Automation streamlines repetitive tasks such as content creation and ad optimization, freeing up time for strategic initiatives. With AI, marketers can achieve greater efficiency, improve customer engagement, and drive business results in an increasingly competitive digital landscape.

Global AI marketing tool market was valued at USD 12.5 billion in 2023 and is expected to reach USD 72.15 billion by 2031, registering a CAGR of 24.5% during the forecast period of 2024-2031. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team also includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.

Report Scope and Market Segmentation

Report Metric

Details

Forecast Period

2024-2031

Base Year

2023

Historic Years

2022 (Customizable to 2016-2021)

Quantitative Units

Revenue in USD Billion, Volumes in Units, Pricing in USD

Segments Covered

Offering (Software and Services),  Technology (Natural Language Processing, Machine Learning, Computer Vision and Others)

Countries Covered

U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of the Middle East and Africa

Market Players Covered

NVIDIA (U.S.), Google (U.S.), Microsoft (U.S.), IBM (U.S.), Salesforce (U.S.), Qualcomm (U.S.), Intel Corporation (U.S.), Samsung Electronics (Hong Kong), Micron Technology (U.S.), Amazon Web Services (AWS) (U.S.)

Market Opportunities

  • Growing demand for precision medicine and treatment
  • Increasing focus on enhancing medical imaging
  • Expanding advancement in AI

Market Definition

In marketing, artificial intelligence refers to the application of AI-based technology to automatically make decisions about marketing based on data that is gathered and examined to promote the product based on customer behavior and perception. Artificial intelligence marketing strategies outperform conventional methods in terms of efficacy and efficiency of marketing expenditure. Artificial intelligence is utilized in marketing to comprehend consumer behavior, data filtering and analysis, social media marketing, and commercials.

AI Marketing Tool Market Dynamics

Driver

  • Advancement in Marketing Solution and Decision Making with AI Tools

The various benefits offered by AI in marketing are expected to propel AI in marketing industry growth during the forecast period. The benefits of AI in marketing include faster and smarter decision-making, Improved ROI and many others. Modern AI techniques enable marketing teams to monitor the results of their campaigns almost instantly and modify their strategy as necessary. Using machine learning (ML) algorithms, AI marketing systems can generate AI marketing plans, evaluate data more quickly than people, and suggest actions based on sentiment analysis of past consumer data. Therefore, advancement in marketing solutions is further propelling the market to an extent

Opportunity

  • Automation of Marketing Offers a Lucrative Opportunity for Market Growth

Businesses may continue to target particular consumers while automating their digital marketing with the help of AI. A high degree of personalization in marketing is the result of the seamless integration of automation and artificial intelligence-achieved personalization. Companies may also obtain a competitive edge by actively seeking out new clients, which is crucial for any company in an industry that is rapidly growing. Businesses utilizing AI systems may now automate pay-per-click (PPC) advertisements, search engine marketing (SEM), search engine optimization (SEO), social media marketing (SMM), conversion rates, and keyword research. Therefore, it is projected that the growing trend of adopting AI automation for marketing will lead to a surge in market expansion.

Restraints/Challenges

  • Challenges Encountered while Utilizing AI-Driven Marketing Hamper Market Growth

Implementing even the most basic AI applications may be difficult. Even with its lower degree of technological sophistication, organizations must have the necessary AI skills to use stand-alone task automation AI, which can still be challenging to configure for specific workflows. Any artificial intelligence that is implemented into a workflow must combine human and machine tasks for AI to enhance human talents rather than be used in a way that creates issues.

  • Training of AI Solutions Poses a Major Challenge to Market Growth

AI has to get extensive training to learn a new task, much such as humans. For instance, the individual would have to spend the time and money required to train the AI system if they wanted it to interact with their clients interestingly. They will require a lot of consumer preference data and maybe data scientists with skills in this area to develop an application such as this one. Hence, the lack of skilled personel is imposing a major challenge for the market to grow

This market report provides details of new recent developments, trade regulations, import-export analysis, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the market contact Data Bridge Market Research for an analyst brief, our team will help you take an informed market decision to achieve market growth.

AI Marketing Tool Market Scope

The market is segmented on the basis of offering and technology. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Offering

  • Software
  • Services

Technology

  • Natural Language Processing
  • Machine Learning
  • Computer Vision
  • Others

AI Marketing Tool Market Region Analysis/Insights

The market is segmented on the basis of offering and technology.  

The countries covered in the  report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

North America is expected to dominate & have highest CAGR in the AI In Marketing industry during the forecast period. The rise of the retail, BFSI, healthcare, automotive, and other industries is credited with the region's development. The many well-known IT companies in the area are aware of the exciting opportunities that artificial intelligence (AI) in marketing offers.

The region section of the report also provides individual market-impacting factors and changes in regulation in the market domestically that impact the current and future trends of the market. Data points such as downstream and upstream value chain analysis, technical trends, and Porter’s five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and the challenges faced due to large or scarce competition from local and domestic brands, the impact of domestic tariffs, and trade routes are considered while providing forecast analysis of the region data.   

Competitive Landscape and AI Marketing Tool Market Share Analysis

The market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to market.

Some of the major players operating in market are:

  • NVIDIA (U.S.)
  • Google (U.S.)
  • Microsoft (U.S.)
  • IBM (U.S.)
  • Salesforce (U.S.)
  • Qualcomm (U.S.)
  • Intel Corporation (U.S.)
  • Samsung Electronics (Hong Kong)
  • Micron Technology (U.S.)
  • Amazon Web Services (AWS) (U.S.)


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Research Methodology

Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.

The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.

Customization Available

Data Bridge Market Research is a leader in advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), clinical trial results data, literature review, refurbished market and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.

Frequently Asked Questions

The AI Marketing Tool Market size will be worth USD 72.15 billion by 2031.
The AI Marketing Tool Market growth rate will be 24.5% by 2031.
Advancement in Marketing Solution and Decision Making with AI Tools are the growth drivers of the AI Marketing Tool Market.
The offering and technology are the factors on which the AI Marketing Tool Market research is based.
The major companies in the AI Marketing Tool Market are NVIDIA (U.S.), Google (U.S.), Microsoft (U.S.), IBM (U.S.), Salesforce (U.S.), Qualcomm (U.S.), Intel Corporation (U.S.), Samsung Electronics (Hong Kong), Micron Technology (U.S.), Amazon Web Services (AWS) (U.S.).