Below is a summary of the latest statistics and forecasts for the rapidly developing artificial intelligence (AI) sector. This includes data on market size of AI services and applications as well as market size data, revenue and spend on AI supporting technologies such as graphics processors and data centers and the impact of AI on economies and productivity..
The data comes from curated and reputable sources including Gartner, Forrester, IDC, McKinsey, Bain, Goldman Sachs, Morgan Stanley etc. Sources are listed as footnotes at the end of this post.
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AI Market Size and Forecasts
The generative AI market is poised to explode, growing to $1.3 trillion over the next 10 years from a market size of just $40 billion in 2022. The largest drivers of incremental revenue will be generative AI infrastructure as a service ($247 billion by 2032) used for training LLMs, followed by digital ads driven by the technology ($192 billion) and specialized generative AI assistant software ($89 billion). On the hardware side of this, revenue will be driven by AI servers ($132 billion), AI storage ($93 billion), computer vision AI products ($61 billion) and conversational AI devices ($108 billion). [1]https://www.bloomberg.com/company/press/generative-ai-to-become-a-1-3-trillion-market-by-2032-research-finds/
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McKinsey analysis suggests that the Total Addressable Market (TAM) from AI can reach $15 trillion. [2]https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-top-trends-in-tech#tech-trends-2023
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AI Chips – forecast
Sales of AI chips for data centres would grow to $400bn in 2027 (Lisa Su, Chief Executive of AMD)[3]https://www.ft.com/content/f84bd56f-484d-4393-bafc-4428da6a7873
Semiconductors for executing AI workloads were worth $53.4 billion in 2023, up from $44.16 billion in 2022. This will increase to $67.1 billion in 2024 and reach $119.4 billion by 2027, according to Gartner. In the consumer electronics market, Gartner estimate that AI-enabled application processors used in devices will amount to $1.2 billion in 2023, from $558 million in 2022. [4]https://www.gartner.com/en/newsroom/press-releases/2023-08-22-gartner-forecasts-worldwide-ai-chips-revenue-to-reach-53-billion-dollars-in-2023
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AI Investments
Global AI investments, which could amount to around $200 billion globally by 2025. AI investment could approach $100 billion in the U.S. by 2025. [5]https://www.goldmansachs.com/intelligence/pages/ai-investment-forecast-to-approach-200-billion-globally-by-2025.html
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AI Impact on Economies and Productivity
As tools using advances in natural language processing work their way into businesses and society, they could drive a 7% (or almost $7 trillion) increase in global GDP and lift productivity growth by 1.5 percentage points over a 10-year period. [6]https://www.goldmansachs.com/intelligence/pages/generative-ai-could-raise-global-gdp-by-7-percent.html
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AI could ultimately automate around 25% of labor tasks in advanced economies and 10-20% of work in emerging economies. [7]https://www.goldmansachs.com/intelligence/pages/ai-may-start-to-boost-us-gdp-in-2027.html
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AI could contribute up to $15.7 trillion1 to the global economy in 2030. Of this, $6.6 trillion is likely to come from increased productivity and $9.1 trillion is likely to come from consumption-side effects. [8]https://www.pwc.com/gx/en/issues/data-and-analytics/publications/artificial-intelligence-study.html
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Generative AI is poised to add as much as $4.4 trillion in economic value from a combination of specific use cases and more diffuse uses—such as assisting with email drafts—that increase productivity. [9]https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-top-trends-in-tech#tech-trends-2023
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AI Software Market Forecasts
Total addressable market for generative AI software to be $150 billion in 2023, compared with $685 billion for the global software industry. [10]https://www.goldmansachs.com/intelligence/pages/generative-ai-could-raise-global-gdp-by-7-percent.html
Demand for generative AI products could add about $280 billion of new software revenue, driven by specialized assistants, new infrastructure products, and copilots that accelerate coding. [11]https://www.bloomberg.com/company/press/generative-ai-to-become-a-1-3-trillion-market-by-2032-research-finds/
Global AI software revenue is expected to grow at a 34.9% CAGR to reach nearly $100bn in 2025. [12]https://omdia.tech.informa.com/OM000884/Artificial-Intelligence-Software-Market-Forecasts
By 2025, the market for artificial intelligence (AI) software will reach almost $134.8 billion. Over the next five years, the market growth will accelerate from 14.4% in 2021 to reach 31.1% in 2025. [13]https://www.gartner.com/guest/purchase/registration?resId=4007140
Worldwide artificial intelligence (AI) software market will grow from $64 billion in 2022 to nearly $251 billion in 2027 at a compound annual growth rate (CAGR) of 31.4%. [14]https://www.idc.com/getdoc.jsp?containerId=prUS51345023
Revenues of generative artificial intelligence (AI) technology offerings are forecast to reach $3.7 billion in 2023 and expand to $36 billion by 2028 with a compound annual growth rate (CAGR) of 58 percent from 2023 to 2028. [15]https://press.spglobal.com/2023-06-08-Generative-AI-Software-Market-Forecast-to-Expand-Near-10-Times-by-2028-to-36-Billion,-S-P-Global-Market-Intelligence-Says
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Information Matters accepts no responsibility for the accuracy of any of the data presented on this page. It has all been sourced from open web sources that have been made freely available by the original authors and is presented here as excerpts for research and commentary purposes.
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