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.
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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.
In 2020, the global AI software market is expected to grow approximately 54 percent year-on-year, reaching a forecast size of 22.6 billion U.S. dollars. AI is a term used to describe a variety of technologies referring to the creation of intelligent software or hardware able to learn and solve problems. These include machine learning, computer vision, and natural language processing (NLP), among others. AI is expected to have wide adoption in and implications for every industry vertical and is likely to be one of the next great technological shifts, like the advent of the computer age or the smartphone revolution.
AI Revolution: an increase or decrease in human labor?
Despite its potential to optimize the way many industries operate, AI is feared to replace human labor in some. The automotive and assembly, and telecom industries worldwide are predicted to undergo the biggest workforce cuts in the next three years due to the adoption of AI technologies. However, infrastructure, professional services and high-tech industries are predicted to increase their workforce sizes with the adoption of AI technologies during the same time period. This highlights the somewhat polarizing effects of AI to human jobs. In some industries, the introduction of AI greatly expedites processes and minimizes human error, which leads to the replacement of human labor. While in others, AI creates new hybrid roles where humans enable machines and AI augments human capabilities.
AI’s impacts on global economic
Despite changes in the global workforce, AI is predicted to contribute to global economic growth. A 2018 global survey estimates that AI will contribute to approximately 26.1 percent of China’s GDP in 2030, 14.5 percent of the GDP in North America, and 13.6 percent of UAE’s GDP. Some of these increases in GDP stem from improvements in productivity and product enhancements due to the adoption of AI technologies. For example, AI in the technology, media and telecommunications industry is forecast to increase global GDP in 2030 by 12.5 percent – 5.5 percent from gains associated with productivity, and 7 percent from gains associated with product enhancements.
The global market size change in the 'Generative AI' segment of the artificial intelligence market was forecast to continuously decrease between 2024 and 2030 by in total 49.7 percentage points. After the sixth consecutive decreasing year, the market size change is estimated to reach 26.3 percent and therefore a new minimum in 2030. Notably, the market size change of the 'Generative AI' segment of the artificial intelligence market was continuously increasing over the past years.Find more key insights for the market size change in countries and regions like the market size change in the 'Computer Vision' segment of the artificial intelligence market in the world and the market size change in the 'Generative AI' segment of the artificial intelligence market in Europe. The Statista Market Insights cover a broad range of additional markets.
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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.
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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.
Report Scope:
Attribute/Metric | Details |
Market Size 2024 | 288.8 (USD Billion) |
Market Size 2025 | 406.3 (USD Billion) |
Market Size 2034 | 3819.2 (USD Billion) |
Compound Annual Growth Rate (CAGR) | 28.3% (2025 - 2034) |
Report Coverage | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
Base Year | 2024 |
Market Forecast Period | 2025 - 2034 |
Historical Data | 2019 - 2023 |
Market Forecast Units | USD Billion |
Segments Covered | Component, Technology, Deployment Mode, Organization Size, Business Function, and Industry Vertical. |
Geographies Covered | North America, Europe, Asia Pacific, Middle East & Africa, and South America |
Countries Covered | The U.S, Canada, Mexico, Germany, France, UK, China, Japan, India, Australia, South Korea, UAE, and Brazil |
Key Companies Profiled | Advanced Micro Devices, AiCure, Arm Limited, Atomwise, Inc., Ayasdi AI LLC, Baidu, Inc., Clarifai, Inc, Cyrcadia Health, Enlitic, Inc., Google LLC, H2O.ai., HyperVerge, Inc., International Business Machines Corporation, IBM Watson Health, Intel Corporation, Iris.ai AS., Lifegraph, Microsoft, NVIDIA Corporation, Sensely, Inc., Zebra Medical Vision, Inc., and Others |
Key Market Opportunities | Growth In Ethical Ai Development To Boost Adoption Of Ai Technology Increase In Government Initiatives And Growth In Investments To Leverage AI Technology |
Key Market Dynamics | Growth Of Data-Based AI And Advancement In Deep Learning Growing Focus Towards Developing Autonomy In Robots Big Data Fueling Ai And Machine Learning Profoundly Growing Investments In Artificial Intelligence Systems |
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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).
Report Attribute
|
Key Statistics
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---|---|
Base Year
| 2024 |
Forecast Years
|
2025-2033
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Historical Years
|
2019-2024
|
Market Size in 2024 | USD 115.62 Billion |
Market Forecast in 2033 | USD 854.51 Billion |
Market Growth Rate 2025-2033 | 23.64% |
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.
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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.
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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.
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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.
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In 2024, Artificial Intelligence Market was valued at $224.41 Billion and projected to reach $1236.47 Billion by 2030, due to increasing number of data globally.
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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.
The market size change in the 'Generative AI' segment of the artificial intelligence market in the United States was forecast to continuously decrease between 2024 and 2030 by in total 49.7 percentage points. After the sixth consecutive decreasing year, the market size change is estimated to reach 26.3 percent and therefore a new minimum in 2030. Notably, the market size change of the 'Generative AI' segment of the artificial intelligence market was continuously increasing over the past years.Find more key insights for the market size change in countries and regions like the market size change in the 'Natural Language Processing' segment of the artificial intelligence market in the United States and the number of AI tools users in the 'AI Tool Users' segment of the artificial intelligence market in Nordics. The Statista Market Insights cover a broad range of additional markets.
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Global Artificial Intelligence Market is estimated to reach at a Significant CAGR during the forecast period 2024-2031 | Datam Intelligence
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Artificial Intelligence Market size was valued at USD 214 Billion in 2024 and is projected to reach USD 863.79 Billion by 2030. Along with A 32.19% CAGR.
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The global generative AI market size reached USD 14.6 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 63.1 Billion by 2033, exhibiting a growth rate (CAGR) of 17.49% during 2025-2033. The increasing amount of generated data, the development of advanced machine learning techniques, expanding information technology (IT) sector and the rising product adoption across a wide range of industries are some of the major factors propelling the market.
Report Attribute
|
Key Statistics
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---|---|
Base Year
| 2024 |
Forecast Years
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2025-2033
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Historical Years
|
2019-2024
|
Market Size in 2024
| USD 14.6 Billion |
Market Forecast in 2033
| USD 63.1 Billion |
Market Growth Rate (2025-2033) |
17.49%
|
IMARC Group provides an analysis of the key trends in each segment of the global generative AI market report, along with forecasts at the global, regional, and country levels from 2025-2033. Our report has categorized the market based on offering type, technology, and application.
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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.
Report Attribute
|
Key Statistics
|
---|---|
Base Year
| 2023 |
Forecast Years
|
2024-2032
|
Historical Years
|
2018-2023
|
Market Growth Rate (2024-2032) | 20.60% |
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.
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According to Cognitive Market Research, the global AI Infrastructure Market size is USD 4.0 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 22.6% from 2024 to 2031. Market Dynamics of AI Infrastructure Market
Key Drivers for AI Infrastructure Market
Increased demand for co-processors - According to Moore's law, integrated circuits will quadruple the number of transistors per square inch every 18 months until 2020. In 2015, Intel Corporation claimed that by developing 7 nm and 5 nm fabrication technologies, it may extend Moore's law for a few years. It would be difficult further to reduce the size of processors in the future because doing so would shorten the distance between electrons and holes, resulting in concerns such as current leakage and overheating in integrated circuits. These concerns would reduce the durability, performance, and power consumption of integrated circuits. As a result, the development of accelerators or co-processor chips, which are critical components of AI infrastructure, was inspired by the need to discover a new technique for improving chip processing capability. Need for AI Hardware in High-Performance Computing Data Centres
Key Restraints for AI Infrastructure Market
Lack of Skilled Workforce Concerns regarding data privacy in AI platforms Introduction of the AI Infrastructure Market
An AI Infrastructure is the technology that allows for machine learning. It denotes the use of artificial intelligence and machine learning solutions to create and deploy dependable, scalable, and targeted data solutions. The speed of AI adoption has accelerated during the COVID-19 crisis, but the increasing rate of adoption is projected to exert significant additional strain on computer resources and related infrastructure. When it comes to infrastructure, firms must adapt and be flexible. In addition, artificial intelligence may require the processing of sensitive data, like as patient records, financial information, and personal data, so the infrastructure must be completely safe using cutting-edge technology. As businesses employ AI more extensively, the network, server, and storage infrastructures will be put under greater strain. Businesses must make cautious decisions and choose IaaS suppliers who can supply cost-effective dedicated servers to improve performance and allow them to continue investing in AI without raising their budget. Such factors would aid in boosting market growth throughout the predicted period.
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[219+ Pages Report] Global artificial intelligence market size & share projected a value of USD 299.64 Billionby 2026, and is growing at a CAGR value of 35.6% during 2021-2026.
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.