Generative AI in Data Analytics Market

Use of generative AI in data analytics

A significant user of generative AI in data analytics is the healthcare industry. To sort through enormous amounts of data, analyse it, and find patterns, generative AI is used. Additionally, it may use that data to create simulations and models that can more accurately forecast outcomes than ever before. The industry has benefited from this improved efficiency, which has helped to lower prices and improve care quality. Generative AI is being used more frequently in the healthcare industry, from prevention to therapy and diagnostics.

The Global Generative AI in Data Analytics Market Industry is poised for substantial growth, with projections indicating a market size of 45.67 USD Billion in 2024 and an anticipated increase to 120.34 USD Billion by 2035. This growth trajectory reflects the increasing adoption of generative AI technologies across various sectors, driven by the demand for enhanced data analytics capabilities. The market is expected to experience a compound annual growth rate of 9.21% from 2025 to 2035, highlighting the potential for innovation and expansion in the field of data analytics. As organizations continue to recognize the value of generative AI, the market is likely to evolve rapidly.

Technological advancements in artificial intelligence play a pivotal role in shaping the Global Generative AI in Data Analytics Market Industry. Innovations in machine learning algorithms and natural language processing enhance the capabilities of data analytics tools, allowing for more sophisticated data interpretation. These advancements enable organizations to automate complex analytical tasks, thereby increasing efficiency and accuracy. As a result, businesses can derive insights faster and with greater precision. The continuous evolution of AI technologies suggests that the market will experience a compound annual growth rate of 9.21% from 2025 to 2035, reflecting the growing reliance on AI-driven analytics solutions.

Regulatory compliance and data governance are critical factors influencing the Global Generative AI in Data Analytics Market Industry. As data privacy regulations become more stringent, organizations are compelled to adopt advanced analytics solutions that ensure compliance while maximizing data utility. Generative AI offers capabilities that enhance data governance by automating compliance checks and providing insights into data usage. This trend is particularly relevant in sectors such as finance and healthcare, where data security is paramount. The increasing focus on regulatory compliance suggests a growing market for generative AI solutions, potentially leading to a compound annual growth rate of 9.21% from 2025 to 2035.

The Global Generative AI in Data Analytics Market Industry experiences a surge in demand for data-driven insights as organizations seek to enhance decision-making processes. In 2024, the market is projected to reach 45.67 USD Billion, driven by the need for real-time analytics and predictive modeling. Companies across various sectors, including finance and healthcare, are leveraging generative AI to extract actionable insights from vast datasets. This trend indicates a shift towards data-centric strategies, where businesses prioritize analytics to gain competitive advantages. As organizations recognize the value of data, the market is expected to witness substantial growth, potentially reaching 120.34 USD Billion by 2035.

The rising need for personalization in services drives the Global Generative AI in Data Analytics Market Industry. Companies are increasingly utilizing generative AI to analyze customer data and tailor services to individual preferences. This trend is particularly evident in sectors such as retail and e-commerce, where personalized recommendations enhance customer experiences and drive sales. By leveraging AI-driven analytics, organizations can identify patterns and trends in consumer behavior, allowing for targeted marketing strategies. As the demand for personalized services continues to grow, the market is likely to expand significantly, with a projected value of 45.67 USD Billion in 2024, reflecting the importance of customer-centric approaches.

The integration of generative AI with existing business intelligence tools significantly influences the Global Generative AI in Data Analytics Market Industry. Organizations are increasingly adopting AI-enhanced analytics platforms that seamlessly integrate with traditional BI tools, enabling users to leverage advanced analytics without extensive technical expertise. This integration facilitates the democratization of data analytics, allowing non-technical users to access insights easily. As businesses recognize the importance of data accessibility, the market is expected to expand, with projections indicating a potential market size of 120.34 USD Billion by 2035. This trend underscores the growing need for user-friendly analytics solutions that empower decision-makers across various levels.

By region, the study provides the market insights into North America, Europe, Asia-Pacific, Middle East & Africa, and South America. North America Generative AI in Data Analytics market accounted for USD 0.72 million in 2022 with a share of around 33.60% and is expected to exhibit a significant CAGR growth during the study period. In North America, the market for AI in data analytics is expanding globally. This industry is expanding as a result of the demand for data-driven insights, which has led businesses to make significant investments in AI solutions and technology.

Major players like Google, Microsoft, IBM, and Intel are at the forefront of this flourishing business that has been formed throughout the region as a result of this trend. The growth of this industry is anticipated to be further fuelled by the development of high-end technologies like Generative Adversarial Networks (GANs), Natural Language Processing (NLP), and Reinforcement Learning (RL). Investments in AI-based applications like fraud detection, recommendation systems, and predictive analytics are also anticipated to contribute to the industry's continued growth. The North American AI market is expected to grow with all these developments.

Mover increasing use of data-driven ai insights, analytics industry AI, and predictive data AI in the region is driving the market. The market for generative AI in data analytics is expanding in North America. Businesses and organisations have a great opportunity to take use of the wealth of data that is becoming available. This chance opens up a number of opportunities for improved decision-making and for getting insightful knowledge from previously collected data.

With the use of generative AI technology, specialists can create complex models that can analyse vast amounts of data and produce insightful insights that can be applied in a range of application scenarios. As a result, businesses are investing in this instrument at an increasing rate.

Further, the major countries studied in the market report are: The U.S, Canada, Germany, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.

FIGURE 3: GENERATIVE AI IN DATA ANALYTICS MARKET SIZE BY REGION 2022 VS 2032

Source: Secondary Research, Primary Research, Market Research Future Database, and Analyst Review

In Europe the development of generative AI and artificial intelligence (AI) benefits the European data analytics sector. Major economies like Germany, France, and the United Kingdom are leading the adoption of Generative Ai In Data Analytics. By way of illustration, generative AI enables computers to decipher data and produce forecasts based on patterns discovered in the existing data. This has been especially helpful for sectors that are now utilising AI's predictive capabilities, like banking, retail, manufacturing, healthcare, and more.

According to estimates, the use of AI solutions for data analytics will increase dramatically in Europe over the next five years as companies want to acquire deeper insights into their client bases. Companies will be able to access more powerful computer systems, new techniques, and technology, which will make big data analysis easier. The demand for data-driven solutions is anticipated to increase as Europe continues to build its capabilities in this area, enabling firms to see market possibilities more quickly than ever before. The demand for innovation is driving a rapid evolution of the European data analytics sector.

This process is now being driven by generative AI, which enables organisations to create fresh plans and discover information in their data that will keep them ahead of the curve. Exploring this technology's potential offers a variety of opportunities, from improving the value of current data sources to creating brand-new solutions that are tailored to particular need. Companies all over Europe can take use of this technology with the proper strategy to not only advance but also guarantee long-term success.

The market for AI in data analytics in Asia is expanding steadily, and many businesses are now focusing on regulatory compliance. This involves making sure they adhere to the rules and regulations of their respective countries. It serves as a necessity in order to stay competitive in this industry. Compliance is becoming increasingly crucial for success, hence the need to include it during the implementation process. Companies must remain aware of all regulations applicable to them, taking all steps necessary to ensure these are met at all times.

Cloud computing is becoming more and more popular in the Asia market for generative AI in data analytics. Businesses in the area are embracing its efficiency and cost-saving benefits as they become aware of its potential. In reality, as more businesses use it to streamline their operations, cut expenses, and gain a competitive edge, cloud computing is fast becoming a critical component of their data analytics plans. The market for generative AI in data analytics has expanded rapidly in Asia as a result of this rise in cloud computing popularity.

The Applied AI in Agriculture market is highly competitive, with a number of established players competing for market share. The market is primarily driven by the growing adoption of cloud computing. There are several domestic, regional, and global players operating in the Applied AI in Energy & Utilities market who continuously strive to gain a significant share of the overall market. During the study, MRFR has analyzed some of the major players in the Generative AI in Data Analytics market who have contributed to the market growth.

These include Some notable players in the Applied AI in Energy & Utilities market include Google, IB General Electric , IBM Corporation, Microsoft., GE Power, Opower, Eneco, and Siemens.

Among these, Microsoft is a prominent solution provider of a wide range of Applied AI in Energy & Utilities. The company offers a range AI solutions that can be used to Predictive maintenance and Renewable energy integration in utilities and to energy. IBM is another AI solution that can be used for fraud detection, data analysis, and managing power supply. Similarly, Deere & Company's AI solutions can be used to monitor crops and drive autonomously.