Artificial Intelligence in Marketing Market Expected to Expand at a Steady 2022-2030

According to the Regional Research Reports, the Global Artificial Intelligence in Marketing Market size was valued at million USD in 2021 and will reach multi-million USD by 2030, at a CAGR of 34.30% from 2022 to 2030.

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Global Artificial Intelligence in Marketing Market Segmentation

Regional Research Reports has segmented the global artificial intelligence in marketing market based on offering, deployment type, technology, and sales channel at a regional and global level. Geographically, the research report has considered the five regions: North America, Europe, Asia Pacific, South America, and the Middle East & Africa. Moreover, the research study focuses on the market analysis of the tier-1 countries, such as the USA, China, Germany, India, the UK, Japan, France, Italy, Spain, Russia, South Korea, and other territories.

Global Artificial Intelligence in Marketing Market Analysis by Offering

• Hardware
• Software
• Services

Global Artificial Intelligence in Marketing Market Analysis by Deployment Type

• Cloud
• On Premises

Global Artificial Intelligence in Marketing Market Analysis by Technology

• Machine Learning
• Context-Aware Computing
• Natural Language Processing
• Computer Vision

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Global Artificial Intelligence in Marketing Market Analysis by Application

• Social Media Advertising
• Search Advertising
• Dynamic Pricing
• Virtual Assistant
• Content Curation
• Sales & Marketing Automation
• Analytics Platform
• Others

Global Artificial Intelligence in Marketing Market Growth, by Region and Country, 2018-2021, 2022-2030 (US$ Millions)

Global Artificial Intelligence in Marketing Market Analysis by Region and Country

• North America (US, Canada, Mexico)
• Europe (Germany, UK, France, Italy, Spain, Russia, Switzerland, Poland, Belgium, the Netherlands, Norway, Sweden, Czech Republic, Slovakia, Slovenia, Rest of Europe)
• Asia Pacific (China, India, Japan, South Korea, Indonesia, Thailand, Malaysia, Vietnam, Singapore, Australia & New Zealand, Rest of Asia Pacific)
• South America (Brazil, Argentina, Peru, Colombia, Rest of South America)
• The Middle East & Africa (UAE, Saudi Arabia, South Africa, Egypt, Qatar, Northern Africa, Rest of MEA)

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Global Artificial Intelligence in Marketing Market Competitive: Key Players

The report includes a comprehensive analysis of leading market players, such as:

• Key companies Artificial Intelligence in Marketing revenues in global market, 2018-2021 (Estimated), (US$ Millions)
• Key companies Artificial Intelligence in Marketing revenues market share in global market, 2021 (%)
• Key companies Artificial Intelligence in Marketing sold in the global market, 2018-2021 (Estimated)

Leading Artificial Intelligence in Marketing Manufacturers –

• NVIDIA
• Intel
• IBM
• Micron
• Samsung Electronics
• Xilinx
• Amazon
• Alphabet
• Facebook
• Microsoft
• Salesforce
• Baidu
• Sentient Technologies
• Albert Technologies
• Oculus360

(Note: The list of the key market players can be updated with the latest market scenario and trends)

Artificial Intelligence in Marketing Market Report Covers Comprehensive Analysis On:

• Market Segmentation & Regional Analysis
• Market Size of 10 years
• Pricing Analysis
• Supply & Demand Analysis
• Product Life Cycle Analysis
• Porter's Five Forces & Value/Supply Chain Analysis
• Developed & Emerging Economies Analysis
• PESTEL Analysis
• Market and Forecast Factor Analysis
• Market Opportunities, Risks, & Trends
• Conclusion & Recommendation
• Regulatory Landscape
• Patent Analysis
• Competition Landscape
• 15+ Company Profiles

Artificial Intelligence in Marketing Market Research Methodology

The report is based on analysis through extensive secondary research and primary Interviews.

The secondary data sources include the company website, annual reports, investor presentations, press releases, white papers, journals, certified publications, government websites, and articles from the industry.

Similarly following is the list of a few paid secondary sources/databases,

• Factiva
• Statista
• D&B Hoovers
• Owler
• Enlyft
• HG Insights
• Bloomberg
• Crunchbase

The primary sources include CXOs, VPs, directors, technology & innovation directors, product managers, and related executives from key organizations from both the supply and demand sides. Similarly, we have also interviewed various end user organizations. We cannot reveal the end-user organizations due to non-disclosure agreements.

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For instance, the region forecast is based on extensive secondary research and primary Interviews. We have conducted primary interviews across the regions to get more region-specific insights. Additionally, primary interviews were conducted with independent consultants and subject matter experts in respective regions. These experts were interviewed to obtain qualitative and quantitative information related to the market and validate the research findings and estimations. The primary and secondary data inputs referred for triangulation and forecast for the region segment are as follows,

• Top Player's historic revenues and Year on Year Growth
• Top Players' regional presence and revenue patterns
• Recent Developments and strategies of vendors and end users (E.g., Mergers & Acquisitions, Partnerships, New Product Launch, and others)
• R&D Investments & Innovation Landscape
• Start-up Ecosystem and Funding Initiatives
• Regulatory Environment and Implications (Country or region Specific)

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