According to the report, Increased Use of Social Media for Advertising is one of the primary growth factors for the market. Rising Adoption of Customer-Centric Marketing Strategies is also expected to contribute significantly to the Artificial Intelligence in Marketing market. Overall, Social Media Advertising applications of Artificial Intelligence in Marketing, and the growing awareness of them, is what makes this segment of the industry important to its overall growth. New players are beginning to enter the market and established companies have been changing their business models – a trend that will continue in the future.

AMA’s Analyst on the Global Artificial Intelligence in Marketing Market identified that the demand is rising in many different parts of the world due to "Growth in Adoption of Cloud-Based Applications and Services ". Furthermore, some recent industry insights like "On 5th October 2020, IBM has announced three new products to add to its growing suite of AI solutions for brands and publishers. The new capabilities are privacy-forward and designed to allow brands to reach consumers while considering user privacy. IBM intends to work with industry leaders, including Xandr/AT&T, Magnite, Nielsen, MediaMath, LiveRamp, and Beeswax to help scale the use of AI across the industry." is constantly making the industry dynamic. One of the challenges that industry facing is "Growing Concerns Regarding Data Privacy and Unreliability of AI Algorithms"

The Organization Size, such as Large Enterprises, is boosting the Artificial Intelligence in Marketing market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The Technology, such as Machine Learning, is boosting the Artificial Intelligence in Marketing market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The End Use Industry, such as BFSI, is boosting the Artificial Intelligence in Marketing market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The Deployment, such as Cloud-Based, is boosting the Artificial Intelligence in Marketing market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The Offering, such as Hardware, is boosting the Artificial Intelligence in Marketing market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The report provides an in-depth analysis and forecast about the industry covering the following key features:
o Industry outlook including current and future market trends, drivers, restraints, and emerging technologies
o Analyses the Global Artificial Intelligence in Marketing market according to Type, Application, and regions
o Analyzes the top 10 players in terms of market reach, business strategy, and business focus
o Provides stakeholders’ insights and key drivers & trends of the market

Market Size Estimation
In market engineering method, both top-down and bottom-up approaches have been used, along with various data triangulation process, to predict and validate the market size of the Artificial Intelligence in Marketing market and other related sub-markets covered in the study.

o Key & emerging players in the Artificial Intelligence in Marketing market have been observed through secondary research.
o The industry’s supply chain and overall market size, in terms of value, have been derived through primary and secondary research processes.
o All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data Triangulation
The overall Artificial Intelligence in Marketing market size is calculated using market estimation process, the Artificial Intelligence in Marketing market was further split into various segments and sub-segments. To complete the overall market engineering and arriving at the exact statistics for all segments and sub-segments, the market breakdown and data triangulation procedures have been utilized, wherever applicable. The data have been triangulated by studying various influencing factors and trends identified from both demand and supply sides of various applications involved in the study. Along with this, the Global Artificial Intelligence in Marketing market size has been validated using both top-down and bottom-up approaches.