The market for artificial intelligence grew beyond 184 billion U.S. dollars in 2024, a considerable jump of nearly 50 billion compared to 2023. This staggering growth is expected to continue with the market racing past 826 billion U.S. dollars in 2030. AI demands data Data management remains the most difficult task of AI-related infrastructure. This challenge takes many forms for AI companies. Some require more specific data, while others have difficulty maintaining and organizing the data their enterprise already possesses. Large international bodies like the EU, the US, and China all have limitations on how much data can be stored outside their borders. Together these bodies pose significant challenges to data-hungry AI companies. AI could boost productivity growth Both in productivity and labor changes, the U.S. is likely to be heavily impacted by the adoption of AI. This impact need not be purely negative. Labor rotation, if handled correctly, can swiftly move workers to more productive and value-added industries rather than simple manual labor ones. In turn, these industry shifts will lead to a more productive economy. Indeed, AI could boost U.S. labor productivity growth over a 10-year period. This, of course, depends on a variety of factors, such as how powerful the next generation of AI is, the difficulty of tasks it will be able to perform, and the number of workers displaced.

The market size in the artificial intelligence market in the United States was forecast to continuously increase between 2024 and 2030 by in total 173.5 billion U.S. dollars (+345.89 percent). After the eighth consecutive increasing year, the market size is estimated to reach 223.68 billion U.S. dollars and therefore a new peak in 2030. Find more key insights for the market size in countries and regions like the market size in the 'Machine Learning' segment of the artificial intelligence market in Nordics and the market size in the 'Machine Learning' segment of the artificial intelligence market in the world. The Statista Market Insights cover a broad range of additional markets.

The artificial intelligence market is estimated to grow from $273.6 billion currently to $5,267 billion by 2035, at a CAGR of 30.84% during the forecast period, till 2035.

The embedded AI market size was valued at USD 10.43 billion in 2024 and is expected to reach USD 56.64 billion by 2037, registering around 13.9% CAGR during the forecast period i.e., between 2025-2037. Asia Pacific industry is poised to hold largest revenue share of 43% by 2037, impelled by rapid growth of e-commerce and digital transformation in the retail sector in the region.

The Report Covers Global Artificial Intelligence Industry Report, Overview, and the Market is Segmented by Components (Hardware and Software and Services), by End-User Industry (BFSI, Fashion and Retail, Healthcare and Life Sciences, Manufacturing, Automotive, Aerospace and Defense, Construction, and Other End Users), by Geography (North America (United States, Canada), Europe (United Kingdom, Germany, France, Rest of Europe), Asia Pacific (China, India, Japan, South Korea, Rest of Asia Pacific), Latin America, and Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value in USD Billion for all the Above Segments.

Global Artificial Intelligence Market is estimated to reach at a Significant CAGR during the forecast period 2024-2031 | Datam Intelligence

The Report Covers Global AI Cloud Computing Market Growth Analysis & Forecast and it is Segmented by Type (Solution and Service), End-user Vertical (BFSI, Healthcare, Automotive, Retail, Government, and Education), and Geography (North America, Europe, Asia Pacific, Latin America, and Middle East and Africa). The market size and forecasts are provided in terms of value (USD billion) for all the above segments.

AI In Asset Management Market size was valued at USD 2.78 Billion in 2024 and is projected to reach USD 47.58 Billion by 2031, growing at a CAGR of 34.37% from 2024 to 2031.

Global AI In Asset Management Market Drivers

Complexity of Financial Markets: The increasing complexity of financial markets is expected to drive the demand for AI in asset management. AI technologies are anticipated to be increasingly integrated to manage intricate financial instruments and diverse asset classes, thereby enhancing decision-making processes.

Availability of Big Data: The rising availability of big data is anticipated to fuel the growth of AI applications in asset management. Enhanced data sources are expected to enable more accurate predictive analytics and risk assessments, leading to better-informed investment decisions.

Advancements in AI Technologies: Continuous advancements in AI technologies are expected to contribute to the expansion of AI in asset management. Innovations such as improved machine learning algorithms and sophisticated analytical tools are likely to drive efficiency and effectiveness in asset management practices.

The AI Video Analytics Market is Segmented by End Users (Retail, Government, and Defense (including Public Safety), Critical Infrastructure, Transportation, Healthcare, and Consumers), and Geography (North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

The Report Covers AI As A Service Market Analysis and It is Segmented by Type of Cloud (public, Private, Hybrid), by Organization Size (small and Medium Enterprises, Large Enterprises), by End-User Industry (BFSI, Retail, Healthcare, IT and Telecommunications, Manufacturing, Energy), and by Geography (North America, Europe, Asia-Pacific, Latin America, The Middle East, and Africa). The Market Sizes and Forecasts are Provided in Terms of Value in USD for all the Above Segments.

The Embedded AI Market Report is Segmented by Offering (Hardware and Software & Services), by Data Type (Sensor Data, Image, and Video Data, Numeric Data, Categorial Data, and Others), by End-User Vertical (BFSI, IT & Telecommunication, Retail & Ecommerce, Manufacturing, Energy & Utilities, Transportation & Logistics, Healthcare & Life Sciences, and Other End-User Verticals), and by Geography (North America, Europe, Asia, Australia and New Zealand, Latin America, and Middle East & Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

The global artificial intelligence market size was valued at USD 115.62 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 854.51 Billion by 2033, exhibiting a CAGR of 23.64% from 2025-2033. North America currently dominates the market, holding a market share of over 30.6% in 2024. The growth of the North American region is driven by technological innovation, robust infrastructure, strong governmental support, and increasing investment in research and development (R&D).

IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence market, along with forecast at the global, regional, and country levels from 2025-2033. The market has been categorized based on type, offering, technology, system, and end-use industry.

Generative AI Market Share size and share are expected to exceed USD 283.37 billion by 2034, with a compound annual growth rate (CAGR) of 34.6% during the forecast period.

Global AI Training Dataset Market will grow at a CAGR of 21.5% during the forecast period, with an estimated crossing USD 12,993.78 million by 2032.

The multimodal AI market size is predicted to rise from $2.36 billion in 2024 to $93.99 billion by 2035, growing at a CAGR of 39.81% from 2024 to 2035.

The Market Report Covers AI Infrastructure Companies and is Segmented by Offering (Hardware [Processor, Storage, and Memory] and Software), by Deployment (On-Premise and Cloud), by End Users (Enterprises, Government, and Cloud Service Providers), and by Geography (North America, Europe, Asia Pacific, Latin America, and Middle East and Africa). The Market Size and Forecasts are Provided in Terms of Value in USD for all the Above Segments.

Machine learning remains the largest segment of the AI market in 2024 and is expected to continue as such until at least 2030. This stems in large part from the machine learning segment being the most prolific and simple AI to create. Its subcategory, deep learning, is considerably more complex but constitutes some of the most influential chatbots created since the expansion of generative AI in 2022, further cementing its market importance.

The AI in Cybersecurity Market estimated size and share is projected to exceed USD 219.53 billion by 2034, with a forecasted CAGR of 24.1% during the period.

AI Content Detector Market size is growing at a moderate pace with substantial growth rates over the last few years and is estimated that the market will grow significantly in the forecasted period i.e. 2024 to 2031.

Global AI Content Detector Market Drivers

Rising Concerns Over Misinformation: The proliferation of fake news, misinformation, and inappropriate content on digital platforms has led to increased demand for AI content detectors. These systems can identify and flag misleading or harmful content, helping to combat the spread of misinformation online.

Regulatory Compliance Requirements: Stringent regulations and legal obligations regarding content moderation, data privacy, and online safety drive the adoption of AI content detectors. Organizations need to comply with regulations such as the General Data Protection Regulation (GDPR) and the Digital Millennium Copyright Act (DMCA), spurring investment in AI-powered content moderation solutions.

Growing Volume of User-Generated Content: The exponential growth of user-generated content on social media platforms, forums, and websites has overwhelmed traditional moderation methods. AI content detectors offer scalable and efficient solutions for analyzing vast amounts of content in real-time, enabling platforms to maintain a safe and healthy online environment for users.

Advancements in AI and Machine Learning Technologies: Continuous advancements in artificial intelligence and machine learning algorithms have enhanced the capabilities of content detection systems. AI models trained on large datasets can accurately identify various types of content, including text, images, videos, and audio, with high precision and speed.

Brand Protection and Reputation Management: Businesses prioritize brand protection and reputation management in the digital age, as negative content or misinformation can severely impact brand image and consumer trust. AI content detectors help organizations identify and address potentially damaging content proactively, safeguarding their reputation and brand integrity.

Demand for Personalized User Experiences: Consumers increasingly expect personalized online experiences tailored to their preferences and interests. AI content detectors analyze user behavior and content interactions to deliver relevant and engaging content, driving user engagement and satisfaction.

Adoption of AI-Powered Moderation Tools by Social Media Platforms: Major social media platforms and online communities are investing in AI-powered moderation tools to enforce community guidelines, prevent abuse and harassment, and maintain a positive user experience. The need to address content moderation challenges at scale drives the adoption of AI content detectors.

Mitigation of Online Risks and Threats: Online platforms face various risks and threats, including cyberbullying, hate speech, terrorist propaganda, and child exploitation content. AI content detectors help mitigate these risks by identifying and removing harmful content, thereby creating a safer online environment for users.

Cost and Resource Efficiency: Traditional content moderation methods, such as manual review by human moderators, are time-consuming, labor-intensive, and costly. AI content detectors automate the moderation process, reducing the need for human intervention and minimizing operational expenses for organizations.

The Russia artificial intelligence market is projected to exhibit a growth rate (CAGR) of 20.60% during 2024-2032. The market is driven by increasing government support, widespread AI adoption in key economic sectors, domestic technology development, and extensive research and development (R&D) activities undertaken by both the government and non-government entities in the country.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2024-2032. Our report has categorized the market based on offering, technology, business function, deployment mode, organization size, and end-use industry.