AI Market Research Services Market

AI Market Research Services Market Outlook 2025 to 2035

The global AI market research services market is expected to reach USD 40 billion by 2035, up from USD 9.2 billion in 2025. During the forecast period 2025 to 2035, the industry is projected to expand at a CAGR of 15.8%.

The AI market research services market is on the rise as companies require more data-driven insights in order to remain competitive. The adoption is influenced by the rising data volumes, changing consumer preferences, and the availability of the real-time intelligence. Artificial intelligence (AI) devices can be used to automate, perform predictive analytics and sentiment analysis, which can improve decision-making in industries. With the increasing focus on agility and precision in approach to strategy, AI-based research solutions are becoming a necessity in providing scalable, efficient, and operational market intelligence.

Quick Stats for AI Market Research Services Market

• Industry Value (2025): USD 9.2 billion
• Projected Value (2035): USD 40 billion
• Forecast CAGR (2025 to 2035): 15.8%
• Leading Segment (2025): Self-serve SaaS platforms (50.8% Market Share)
• Fastest Growing Country (2025-2035): China (17.4% CAGR)
• Top Key Players: Qualtrics, Kantar, Ipsos, NIQ (NielsenIQ), Dynata, YouGov, Toluna, Zappi, and Quantilope

What are the drivers of the AI Market Research Services Market?

The AI market research services market is experiencing a high rate of growth due to the increasing demand of real-time information, accurate, and actionable data in industries. With the growing dynamism of markets and the loss of structure in consumer behavior, businesses are turning to AI-based solutions as a way to work with large datasets that are not systematically structured and reveal latent patterns.

Natural language processing, machine learning, and predictive analytics are changes that are turning traditional research into agile, automated intelligence systems. Meanwhile, regulatory demands on data compliance and transparency and competitive pressure on making decisions more quickly are driving adoption. The strategic partnerships of AI vendors with research companies contribute to the penetration of the market on an international level.

What are the regional trends of the AI Market Research Services Market?

The regional landscape of AI market research services market illustrates a range of divergent paths of implementation that are largely determined by digital maturity, data regulations, and enterprise priorities. North America is at the forefront with the extensive application of AI-powered analytics, a trend that has been fuelled not only by cutting-edge data ecosystems but also by the emphasis on customer-centric innovation.

On the other hand, the focus in Europe is on adoption from a compliance perspective whereby GDPR is not only steering AI deployment in research platforms but also very much influencing the demand for insights that are transparent and explainable.

The Asia-Pacific region is going through an expansion at a breakneck speed as companies in India, China, and Southeast Asia are making use of AI for consumer intelligence in digital economies that are growing rapidly.

However, Latin America, the Middle East, and Africa are observed to be at the stage of gradual investment mainly through the utilization of cost-effective cloud-based solutions.

What are the challenges and restraining factors of the AI Market Research Services Market?

In the AI market research services sector, one of the major problems the transition faces is the inconsistency of the quality and methodology of the data due to the large number of different sources. The variability in unstructured data, which may be from social media or transactional records, is the root of most of the inconsistencies in the insights that enterprises get from it and therefore making them reluctant to fully rely on it.

Another limitation in the structure is the skill gap in the use of AI as many organizations do not have the necessary experts in-house to be able to interpret the AI outputs correctly. Data privacy laws like GDPR and CCPA complicate the situation even more, as they require systems that are transparent, compliant, and explainable. Besides, the market fragmentation among service providers leads to uneven capabilities that limit the scalability and global standardization of solutions.

Country-Wise Insights

U.S. drives AI research adoption with compliance-driven, domain-specific solutions

The U.S. market is a typical example of the extensive usage of AI-driven analytics by the three sectors with the largest data consumption – retail, healthcare, and financial services. The need for market intelligence, which is driven by precision, is the main factor behind the incorporation of advanced machine learning, NLP, and generative AI into the research workflows.

Top companies are using cloud-based solutions that are in line with strict compliance frameworks which include CCPA and sector-specific data requirements. In places like California, New York, and Texas, the enterprises are engaging with the automated insights platform much faster than before to lower the time taken for the research process.

Through a large commitment to AI R&D and thoroughly developed innovation ecosystems, U.S. companies are producing solutions that are specific to different domains, which in turn affect consumer behavior, pricing, and brand monitoring.

China accelerates AI market research via e-commerce, fintech, and regulations

The AI market research services sector in China is experiencing revolution momentum, which is mainly due to the huge support that the government is giving to the use of AI and the entire data-driven industries. The demand is rising in e-commerce, fintech, and manufacturing, where the use of real-time consumer analytics has become very critical.

The integration of proprietary data ecosystems with AI-driven research platforms is getting wider by the day, especially so, in Beijing, Shanghai, and Shenzhen. Companies operating locally are concentrating on low-cost, high-volume data processing, which is in line with China's digital-first economy. China is coming up with aggressive commercialization of AI-based market research services with the help of a strong patenting ecosystem and the digital consumer scale.

UK fosters AI research growth with R&D, startups, and GDPR

UK is a market that can be best described as coming from significant institutional R&D, a robust regulatory framework that is in line with GDPR, and a vibrant AI startup ecosystem. The need for AI is mainly coming from the UK's financial services, retail, and media sectors, where the demand for transparent and explainable AI research models has arisen drastically.

London, Cambridge, and Manchester are the centers of innovation, where the companies are utilizing AI instruments for the following purposes, consumer sentiment tracking, competitive benchmarking, and product lifecycle insights. Enterprises are using hybrid deployment models to strike a balance between compliance and scalability.

Strategic partnerships between AI startups, universities, and multinational corporations are resulting in faster solution development. The UK’s role as a European AI leader is being supported by the stability of policies and the increasing venture capital investment.

Category-Wise Analysis

Self-serve SaaS drives scalable, automated, cost-efficient research adoption

Self-serve SaaS platform segment is rapidly being adopted by the enterprises as they focus on scalability, cost-effectiveness and speed in executing the research. Cloud-native architectures enable organizations to handle large datasets in real-time to provide agile insights without relying on old agencies. No matter the size of the research budget, granular subscription packages and add-ons allow flexibility, whether in SMEs or larger organizations.

Connection to CRM, ERP and analytics ecosystems offer smooth adoption of workflow, and accessible dashboards democratize information across teams. As manual work is minimized with automation and the end result remains consistent, self-serve SaaS is being set as the foundation delivery model of AI-driven research.

Text data dominates insights through NLP-powered sentiment and context

Text-based data remains the primary source of AI market research due to the multiplied increase of consumer-generated content. Natural language processing (NLP) makes it possible to turn surveys, reviews, and social discussions into scaled actions. Sentiment analysis and contextual modeling can improve the process of decoding consumer intent, brand perceptions, and new trends.

Multi-lingual model integration is also widening the access to international markets to enable cultural and geographical subtleties to be grasped. Text analytics is becoming an important modality as businesses transition to omnichannel strategies and can be used to support competitive intelligence, customer experience monitoring, and innovation tracking.

Retail and e-commerce leverage AI for precision consumer intelligence

The retail and e-commerce segment is the largest consumer of AI market research with demand coming mainly from the need to understand rapidly changing consumer behaviors. AI platforms continuously monitor buying intentions, brand switching, and digital interaction to enable smart merchandising and campaign optimization.

The use of advanced clickstream and behavioral analytics has spread widely in e-commerce ecosystems and this has allowed for hyper-personalization and precision targeting of customers. Facing strong competition and fragile margins, retailers turn to predictive intelligence for setting the right prices and managing stocks.

The widespread use of the omnichannel formats combined with the implementation of loyalty programs that provide data has kept retail and e-commerce as the most vibrant and dynamic end-user vertical.

Competitive Analysis

Key players in the AI Market Research Services Market include Qualtrics, Kantar, Ipsos, NIQ (NielsenIQ), Dynata, YouGov, Toluna, Zappi, Quantilope.

The market of AI Market Research Services is growing because business is increasingly requiring quicker, information-driven decision-making, real-time information about consumers, and forecasting.

Accuracy in the data analysis process is becoming mandatory as businesses look to achieve optimal strategy, innovation, and customer interaction. Product development is being influenced by regulatory pressures on data privacy, as well as client pressure on explainable and transparent AI.

Generative AI, NLP, and multimodal analytics are among the areas providers developing to improve the accuracy and efficiency of research. We see a tangible move into the SaaS platforms and hybrid services based on subscriptions. Acquisitions, strategic alliances, and internationalization are increasing competition between the market incumbents and the new entrants.

Recent Development

• In June 2024, NielsenIQ launched its AI-driven Consumer Lens platform which combines generative AI to provide automated intelligence on survey, retail, and behavioral data sets. The introduction reinforces the positioning of NielsenIQ in real-time consumer intelligence delivery that is powered by AI.
• In April 2024, Ipsos declared that it is forming a strategic partnership with Microsoft Azure to speed up the use of AI in market research. The partnership works on scaling NLP, multimodal analytics, and privacy-compliant data services in the international operations of Ipsos.

Fact.MR has provided detailed information about the price points of key manufacturers of AI Market Research Services Market positioned across regions, sales growth, production capacity, and speculative technological expansion, in the recently published report.

Methodology and Industry Tracking Approach

The Global AI Market Research Services report for the year 2025 by Fact.MR consisted of a survey of 10,000 stakeholders across 30 countries, with at least 300 respondents per market. About 66% of the survey participants were end users or enterprises (e.g., retailers, financial institutions, healthcare providers) while the remaining 33% were industry professionals (e.g., research consultants, technology vendors, data scientists).

The data for the survey was gathered from June 2024 to July 2025 and represents the trend of adoption, demand for services, opportunities, investments, and regulatory challenges.

The responses have been adjusted to take into account market shares of regions and sizes of enterprises. The study extensively relied on the analysis of over 250 different kinds of secondary materials, including patents, regulatory filings, and financial reports. This was enabled by the use of several advanced statistical techniques like regression and cluster analysis.

With Fact.MR monitoring consumer behavior, product efficacy, industry trends, and market opportunities since 2018, this report is becoming an authoritative source of information that stakeholders can rely on.