The AI marketing tool market under FMI published a new report stating the current valuation of the market is US$ 4.9 billion in 2024. Over the time span of ten years, the market spiked to a valuation of US$ 16.23 billion by 2034. The new report suggests a CAGR of 12.60% from 2024 to 2034, showing consistent market growth.
| Attributes | Details |
|---|---|
| AI Marketing Tool Market Value for 2024 | US$ 4.9 billion |
| AI Marketing Tool Market Value for 2034 | US$ 16.23 billion |
| AI Marketing Tool Market Forecast CAGR for 2024 to 2034 | 12.6% |
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In 2019, the global AI marketing Tool market showed a potential worth of US$ 2.8 billion, according to a report from Future Market Insights (FMI). The AI marketing Tool market witnessed significant growth, registering a CAGR of 11.8% from 2019 to 2023.
| Historical CAGR | 11.8% |
|---|---|
| Forecast CAGR | 12.6% |
The boom in adopting AI-driven solutions within the marketing domain enables businesses to strengthen their targeting, personalization, and overall efficiency in customer engagement.
The market ascent underscored the push in recognition among enterprises of the strategic importance of leveraging AI technologies to optimize marketing efforts, capitalize on data insights, and stay competitive in an evolving digital landscape.
The upward trend reflects a continued boom in demand for AI marketing Tool as businesses seek to leverage advanced analytics, machine learning algorithms, and automation to streamline marketing operations and drive better outcomes.
Factors such as a boost in digitalization, the proliferation of data sources, and the quest for enhanced customer experiences are expected to fuel further adoption of AI-powered solutions across diverse industries.
Principal Consultant
The below section shows the leading segment. Based on the tool type, the CRM software segment is accounted to hold a market share of 28.8% in 2024. Based on deployment type, the cloud-based segment is accounted to hold a market share of 60.30% in 2024.
The ability to provide businesses with enhanced customer insights and enable personalized interactions is one major reason for pushing the CRM software segment.
Cloud-based solutions offer businesses the flexibility to scale their CRM infrastructure up or down based on changing business needs without the constraints of physical hardware limitations.
| Category | Market Share in 2024 |
|---|---|
| CRM Software | 28.8% |
| Cloud-based | 60.3% |
Based on tool type, the CRM software sector is accounted to hold a market share of 28.8% in 2024. CRM software is important in managing customer relationships and offers functionalities like customer data management, lead generation, and sales automation.
With businesses prioritizing customer-centric strategies, the demand for CRM software integrated with AI capabilities is boosting, enabling personalized interactions and targeted marketing campaigns for enhancing customer engagement.
Based on deployment, the cloud-based sector is accounted to hold a market share of 60.3% in 2024. Cloud-based AI marketing Tool offer several advantages over on-premises solutions, inclusive of scalability, flexibility, and cost-effectiveness.
Organizations prefer cloud-based deployments for their ability to access AI marketing functionalities remotely, which facilitates collaboration among distributed teams and seamlessly integrates with other cloud-based applications and services.
Cloud-based deployments help eliminate the need for upfront infrastructure investments and maintenance costs, making them an attractive choice for businesses of all sizes seeking to leverage AI marketing Tool to achieve their strategic objectives.
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The table mentions the top five countries ranked by revenue, with India holding the top position. Australia and New Zealand dominate the AI marketing Tool market by emphasizing customer-centric strategies, digital transformation initiatives, and innovation.
Leveraging AI for customer segmentation, personalization, and predictive analytics, businesses in these countries push customer engagement, loyalty, and competitiveness in the global market landscape.
Forecast CAGRs from 2024 to 2034
| Countries | CAGR through 2034 |
|---|---|
| United States | 9.5% |
| Germany | 4.1% |
| Japan | 5.4% |
| China | 13.1% |
| Australia and New Zealand | 16.1% |
With a highly competitive market landscape and a digitally savvy consumer base, United States companies rely on AI-powered solutions to gain a competitive edge, drive customer engagement, and maximize marketing ROI.
The United States boasts a robust ecosystem of AI technology providers, research institutions, and startups, contributing to innovation and advancements in AI marketing Tool.
In Germany, the utilization of AI marketing Tool is characterized by a focus on data privacy, compliance with regulations such as the GDPR, and an emphasis on transparency in customer interactions.
The businesses leverage AI marketing Tool for customer relationship management, lead generation, and content personalization while prioritizing data security and the ethical use of AI technologies.
With a strong industrial base and a tradition of engineering excellence, companies seek AI marketing solutions that integrate seamlessly with existing systems and processes, driving efficiency and effectiveness in marketing campaigns.
Adopting AI marketing Tool is steered by a desire to enhance customer experiences, boost operational efficiency, and gain insights from data analytics. Businesses in Japan leverage AI marketing Tool for customer segmentation, recommendation engines, chatbots, and sentiment analysis to better understand and engage with customers across multiple channels.
With a focus on innovation and technology adoption, companies in Japan embrace AI-powered solutions to stay competitive in a rapidly evolving market landscape while prioritizing cultural nuances and local preferences in their marketing strategies.
The AI marketing Tool market in China is characterized by rapid growth and innovation fueled by the thriving digital economy and extensive use of mobile and e-commerce platforms in the country.
With vast consumer data and a highly competitive market environment, companies rely on AI-powered solutions to optimize marketing strategies, propel customer engagement, and capitalize on emerging trends and opportunities in the digital marketplace.
In Australia and New Zealand, adopting AI marketing Tool is driven by a focus on customer-centric strategies, digital transformation initiatives, and a growing demand for personalized experiences.
Companies in Australia and New Zealand seek AI-powered solutions that integrate seamlessly with their existing marketing stack while adhering to data privacy regulations and ethical considerations.
Startups like HubSpot, Marketo, and Sprinklr bring agile solutions tailored to modern marketing needs. Tech giants like Google and Facebook dominate AI-driven advertising platforms.
The AI marketing Tool market is dynamic and diverse, featuring a mix of established players, innovative startups, and technology giants. Leading companies such as Adobe, Salesforce, IBM, and Oracle offer comprehensive AI-powered marketing suites, while niche players specialize in specific functionalities like predictive analytics or chatbots.
Some of the key developments
| Attributes | Details |
|---|---|
| Estimated Market Size in 2024 | US$ 4.9 billion |
| Projected Market Valuation in 2034 | US$ 16.23 billion |
| Value-based CAGR 2024 to 2034 | 12.60% |
| Forecast Period | 2024 to 2034 |
| Historical Data Available for | 2019 to 2023 |
| Market Analysis | Value in US$ billion |
| Key Regions Covered |
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| Key Market Segments Covered |
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| Key Countries Profiled |
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| Key Companies Profiled |
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As of 2024, the market for AI marketing Tool is expected to be valued at US$ 4.9 billion.
The AI marketing Tool market is projected to expand at a CAGR of 12.6% between 2024 and 2034.
The CRM software segment is projected to dominate the industry.
By 2034, the market value of AI marketing Tool is expected to reach US$ 16.23 billion.
China is likely the top-performing market, with a CAGR of 13.1%.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2019 to 2023 and Forecast, 2024 to 2034
4.1. Historical Market Size Value (US$ Million) Analysis, 2019 to 2023
4.2. Current and Future Market Size Value (US$ Million) Projections, 2024 to 2034
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Tool Type
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Tool Type, 2019 to 2023
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Tool Type, 2024 to 2034
5.3.1. CRM Software
5.3.2. Email Marketing
5.3.3. Social Media
5.3.4. Search Marketing
5.3.5. Content Management
5.3.6. Marketing Automation
5.3.7. Campaign Management
5.3.8. Others
5.4. Y-o-Y Growth Trend Analysis By Tool Type, 2019 to 2023
5.5. Absolute $ Opportunity Analysis By Tool Type, 2024 to 2034
6. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Deployment
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Deployment, 2019 to 2023
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment, 2024 to 2034
6.3.1. Cloud
6.3.2. On-Premises
6.4. Y-o-Y Growth Trend Analysis By Deployment, 2019 to 2023
6.5. Absolute $ Opportunity Analysis By Deployment, 2024 to 2034
7. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Region
7.1. Introduction
7.2. Historical Market Size Value (US$ Million) Analysis By Region, 2019 to 2023
7.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2024 to 2034
7.3.1. North America
7.3.2. Latin America
7.3.3. Western Europe
7.3.4. Eastern Europe
7.3.5. South Asia and Pacific
7.3.6. East Asia
7.3.7. Middle East and Africa
7.4. Market Attractiveness Analysis By Region
8. North America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
8.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
8.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
8.2.1. By Country
8.2.1.1. USA
8.2.1.2. Canada
8.2.2. By Tool Type
8.2.3. By Deployment
8.3. Market Attractiveness Analysis
8.3.1. By Country
8.3.2. By Tool Type
8.3.3. By Deployment
8.4. Key Takeaways
9. Latin America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
9.2.1. By Country
9.2.1.1. Brazil
9.2.1.2. Mexico
9.2.1.3. Rest of Latin America
9.2.2. By Tool Type
9.2.3. By Deployment
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Tool Type
9.3.3. By Deployment
9.4. Key Takeaways
10. Western Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
10.2.1. By Country
10.2.1.1. Germany
10.2.1.2. UK
10.2.1.3. France
10.2.1.4. Spain
10.2.1.5. Italy
10.2.1.6. Rest of Western Europe
10.2.2. By Tool Type
10.2.3. By Deployment
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Tool Type
10.3.3. By Deployment
10.4. Key Takeaways
11. Eastern Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
11.2.1. By Country
11.2.1.1. Poland
11.2.1.2. Russia
11.2.1.3. Czech Republic
11.2.1.4. Romania
11.2.1.5. Rest of Eastern Europe
11.2.2. By Tool Type
11.2.3. By Deployment
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Tool Type
11.3.3. By Deployment
11.4. Key Takeaways
12. South Asia and Pacific Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
12.2.1. By Country
12.2.1.1. India
12.2.1.2. Bangladesh
12.2.1.3. Australia
12.2.1.4. New Zealand
12.2.1.5. Rest of South Asia and Pacific
12.2.2. By Tool Type
12.2.3. By Deployment
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Tool Type
12.3.3. By Deployment
12.4. Key Takeaways
13. East Asia Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
13.2.1. By Country
13.2.1.1. China
13.2.1.2. Japan
13.2.1.3. South Korea
13.2.2. By Tool Type
13.2.3. By Deployment
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Tool Type
13.3.3. By Deployment
13.4. Key Takeaways
14. Middle East and Africa Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
14.2.1. By Country
14.2.1.1. GCC Countries
14.2.1.2. South Africa
14.2.1.3. Israel
14.2.1.4. Rest of MEA
14.2.2. By Tool Type
14.2.3. By Deployment
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Tool Type
14.3.3. By Deployment
14.4. Key Takeaways
15. Key Countries Market Analysis
15.1. USA
15.1.1. Pricing Analysis
15.1.2. Market Share Analysis, 2023
15.1.2.1. By Tool Type
15.1.2.2. By Deployment
15.2. Canada
15.2.1. Pricing Analysis
15.2.2. Market Share Analysis, 2023
15.2.2.1. By Tool Type
15.2.2.2. By Deployment
15.3. Brazil
15.3.1. Pricing Analysis
15.3.2. Market Share Analysis, 2023
15.3.2.1. By Tool Type
15.3.2.2. By Deployment
15.4. Mexico
15.4.1. Pricing Analysis
15.4.2. Market Share Analysis, 2023
15.4.2.1. By Tool Type
15.4.2.2. By Deployment
15.5. Germany
15.5.1. Pricing Analysis
15.5.2. Market Share Analysis, 2023
15.5.2.1. By Tool Type
15.5.2.2. By Deployment
15.6. UK
15.6.1. Pricing Analysis
15.6.2. Market Share Analysis, 2023
15.6.2.1. By Tool Type
15.6.2.2. By Deployment
15.7. France
15.7.1. Pricing Analysis
15.7.2. Market Share Analysis, 2023
15.7.2.1. By Tool Type
15.7.2.2. By Deployment
15.8. Spain
15.8.1. Pricing Analysis
15.8.2. Market Share Analysis, 2023
15.8.2.1. By Tool Type
15.8.2.2. By Deployment
15.9. Italy
15.9.1. Pricing Analysis
15.9.2. Market Share Analysis, 2023
15.9.2.1. By Tool Type
15.9.2.2. By Deployment
15.10. Poland
15.10.1. Pricing Analysis
15.10.2. Market Share Analysis, 2023
15.10.2.1. By Tool Type
15.10.2.2. By Deployment
15.11. Russia
15.11.1. Pricing Analysis
15.11.2. Market Share Analysis, 2023
15.11.2.1. By Tool Type
15.11.2.2. By Deployment
15.12. Czech Republic
15.12.1. Pricing Analysis
15.12.2. Market Share Analysis, 2023
15.12.2.1. By Tool Type
15.12.2.2. By Deployment
15.13. Romania
15.13.1. Pricing Analysis
15.13.2. Market Share Analysis, 2023
15.13.2.1. By Tool Type
15.13.2.2. By Deployment
15.14. India
15.14.1. Pricing Analysis
15.14.2. Market Share Analysis, 2023
15.14.2.1. By Tool Type
15.14.2.2. By Deployment
15.15. Bangladesh
15.15.1. Pricing Analysis
15.15.2. Market Share Analysis, 2023
15.15.2.1. By Tool Type
15.15.2.2. By Deployment
15.16. Australia
15.16.1. Pricing Analysis
15.16.2. Market Share Analysis, 2023
15.16.2.1. By Tool Type
15.16.2.2. By Deployment
15.17. New Zealand
15.17.1. Pricing Analysis
15.17.2. Market Share Analysis, 2023
15.17.2.1. By Tool Type
15.17.2.2. By Deployment
15.18. China
15.18.1. Pricing Analysis
15.18.2. Market Share Analysis, 2023
15.18.2.1. By Tool Type
15.18.2.2. By Deployment
15.19. Japan
15.19.1. Pricing Analysis
15.19.2. Market Share Analysis, 2023
15.19.2.1. By Tool Type
15.19.2.2. By Deployment
15.20. South Korea
15.20.1. Pricing Analysis
15.20.2. Market Share Analysis, 2023
15.20.2.1. By Tool Type
15.20.2.2. By Deployment
15.21. GCC Countries
15.21.1. Pricing Analysis
15.21.2. Market Share Analysis, 2023
15.21.2.1. By Tool Type
15.21.2.2. By Deployment
15.22. South Africa
15.22.1. Pricing Analysis
15.22.2. Market Share Analysis, 2023
15.22.2.1. By Tool Type
15.22.2.2. By Deployment
15.23. Israel
15.23.1. Pricing Analysis
15.23.2. Market Share Analysis, 2023
15.23.2.1. By Tool Type
15.23.2.2. By Deployment
16. Market Structure Analysis
16.1. Competition Dashboard
16.2. Competition Benchmarking
16.3. Market Share Analysis of Top Players
16.3.1. By Regional
16.3.2. By Tool Type
16.3.3. By Deployment
17. Competition Analysis
17.1. Competition Deep Dive
17.1.1. Hootsuite
17.1.1.1. Overview
17.1.1.2. Product Portfolio
17.1.1.3. Profitability by Market Segments
17.1.1.4. Sales Footprint
17.1.1.5. Strategy Overview
17.1.1.5.1. Marketing Strategy
17.1.2. Copy.ai
17.1.2.1. Overview
17.1.2.2. Product Portfolio
17.1.2.3. Profitability by Market Segments
17.1.2.4. Sales Footprint
17.1.2.5. Strategy Overview
17.1.2.5.1. Marketing Strategy
17.1.3. JasperAI
17.1.3.1. Overview
17.1.3.2. Product Portfolio
17.1.3.3. Profitability by Market Segments
17.1.3.4. Sales Footprint
17.1.3.5. Strategy Overview
17.1.3.5.1. Marketing Strategy
17.1.4. Midjourney
17.1.4.1. Overview
17.1.4.2. Product Portfolio
17.1.4.3. Profitability by Market Segments
17.1.4.4. Sales Footprint
17.1.4.5. Strategy Overview
17.1.4.5.1. Marketing Strategy
17.1.5. Podcastle
17.1.5.1. Overview
17.1.5.2. Product Portfolio
17.1.5.3. Profitability by Market Segments
17.1.5.4. Sales Footprint
17.1.5.5. Strategy Overview
17.1.5.5.1. Marketing Strategy
17.1.6. Quillbot
17.1.6.1. Overview
17.1.6.2. Product Portfolio
17.1.6.3. Profitability by Market Segments
17.1.6.4. Sales Footprint
17.1.6.5. Strategy Overview
17.1.6.5.1. Marketing Strategy
17.1.7. Magic Studio
17.1.7.1. Overview
17.1.7.2. Product Portfolio
17.1.7.3. Profitability by Market Segments
17.1.7.4. Sales Footprint
17.1.7.5. Strategy Overview
17.1.7.5.1. Marketing Strategy
17.1.8. DeepBrain AI Studios
17.1.8.1. Overview
17.1.8.2. Product Portfolio
17.1.8.3. Profitability by Market Segments
17.1.8.4. Sales Footprint
17.1.8.5. Strategy Overview
17.1.8.5.1. Marketing Strategy
17.1.9. Albert.ai
17.1.9.1. Overview
17.1.9.2. Product Portfolio
17.1.9.3. Profitability by Market Segments
17.1.9.4. Sales Footprint
17.1.9.5. Strategy Overview
17.1.9.5.1. Marketing Strategy
17.1.10. Wordstream
17.1.10.1. Overview
17.1.10.2. Product Portfolio
17.1.10.3. Profitability by Market Segments
17.1.10.4. Sales Footprint
17.1.10.5. Strategy Overview
17.1.10.5.1. Marketing Strategy
17.1.11. Skai
17.1.11.1. Overview
17.1.11.2. Product Portfolio
17.1.11.3. Profitability by Market Segments
17.1.11.4. Sales Footprint
17.1.11.5. Strategy Overview
17.1.11.5.1. Marketing Strategy
18. Assumptions & Acronyms Used
19. Research Methodology
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