Global Generative AI Consumer Spending to Skyrocket, Approaching $700 Billion by 2030, But Will it Be Enough to Satisfy Investors?
- Global consumer spending on Generative AI is projected to surge from $225 billion in 2023 to $699 billion by 2030 with a CAGR of 21%.
- In terms of segments, chatbot platforms are the fastest-expanding segment with significant growth also predicted from personal assistants and content generation tools.
- The number of Monthly Active Users (MAUs) on AI chatbot platforms is forecasted to surpass 5 billion globally by 2030.
- Competition among LLM providers is heating up with significant shifts in market share expected within the forecast period.
Global AI Consumer Spending
Source: Counterpoint Research
According to a new report from Counterpoint Research, consumer spending on Generative AI is set to reshape the technology landscape. The report (Global AI Consumer Spends Forecast, 2024-2030) released on 23rd November 2025 highlights exponential growth across both consumer-facing AI software and the hardware required to power it.
The AI hardware market will represent the bulk of the spending. A significant driver of this growth is the integration of AI capabilities into personal devices. The report forecasts that global Generative AI smartphone shipments will grow at a 26% CAGR, with corresponding revenues growing at a 16% CAGR from 2023 to 2030.
The consumer-facing AI software sector is poised for even more dramatic growth. This surge is supported by a massive increase in user adoption, with Monthly Active Users (MAUs) of AI chatbot platforms expected to grow by nearly 5 billion.
Research Director Marc Einstein noted "Spending on AI hardware will remain robust over the next few years, but it is the growth in software spending which will ultimately determine the success of the new AI ecosystem. And while we predict that the market for AI software will indeed grow massively over the next five years, we expect to see some winners and losers emerge in the near future.”
The report also details the competitive landscape for these platforms. While OpenAI is expected to maintain its lead with the largest userbase, Google, and Microsoft are projected to experience the highest growth in MAUs over the forecast period. The market for AI applications beyond chatbots—such as art generators, AI companions, and photo editors—is also primed for increased growth.
Generative AI is quickly moving from being a luxury feature to a mass-market standard. While premium smartphones continue to anchor revenues through 2030, volume growth is increasingly driven by mid-tier devices, signalling the democratisation of AI capabilities. At the same time, emerging AI form factors such as laptops, XR and AI-native devices remain smaller in scale but represent the next growth frontier, gradually diversifying the AI hardware ecosystem beyond smartphones.
The lingering question facing the industry is if the massive growth in the sector will be enough to justify the unprecedented investment in the space. To find our more please visit Global AI Consumer Spends Forecast, 2024-2030.
About Counterpoint Research
Counterpoint Research is a global market research firm specializing in products across the technology ecosystem. We advise a diverse range of clients – from smartphone OEMs to chipmakers and channel players to Big Tech – through our offices located in the world's major innovation hubs, manufacturing clusters and commercial centers. Our analyst team, led by seasoned experts, engages with stakeholders across the enterprise – from the C-suite to professionals in strategy, analyst relations (AR), market intelligence (MI), business intelligence (BI), product and marketing – to deliver services spanning market data, industry thought leadership and consulting. Our core areas of coverage include AI, Automotive, Consumer Electronics, Displays, eSIM, IoT, Location Platforms, Macroeconomics, Manufacturing, Networks and Infrastructure, Semiconductors, Smartphones and Wearables. Visit our Insights page to explore our publicly available market data, insights and thought leadership, and to understand our focus, meet our analysts and start a conversation.
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Author
Marc Einstein
Marc has over 20 years of experience in the ICT technology research and consulting focusing largely on the Telecommunications and Enterprise IT sectors. Prior to joining Counterpoint Research Marc held several senior positions in industry analyst firms in the USA, Hong Kong, Singapore and Japan. Based in Tokyo since 2010, Marc is a regular speaker at industry events and a frequent TV panelist. Marc also spent time in the strategy department of the largest mobile gaming company in Japan. A speaker of 6 languages, Marc holds a BSBA in Finance from Washington University in St. Louis and was a visiting student at Rangsit University in Bangkok, Thailand.