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Citigroup lifts AI market view to over $4 trillion on enterprise adoption
April 28 (Reuters) - Citigroup raised its global artificial intelligence market forecast, citing faster-than-expected enterprise adoption of artificial intelligence tools for coding and automation, with companies such as Anthropic showing strong revenue growth. The Wall Street brokerage, in an April 27 note, expects the global AI market to reach more than $4.2 trillion by 2030, with roughly $1.9 trillion of that tied to enterprise AI. Citi previously forecast the global AI market to be worth more than $3.5 trillion, with nearly $1.2 trillion driven by enterprise AI. Here are key points from Citi's note on Anthropic: Reporting by Rashika Singh and Kanishka Ajmera in Bengaluru; Editing by Harikrishnan Nair Our Standards: The Thomson Reuters Trust Principles., opens new tab
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Citi Projects $4 Trillion AI Market Fueled by Enterprise Growth | PYMNTS.com
By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. The banking giant now expects the worldwide artificial intelligence (AI) market to exceed $4.2 trillion by 2030, Reuters reported Tuesday (April 28), citing a Citi research note. Citi said nearly half that total -- $1.9 trillion -- would be related to enterprise AI. The bank's earlier forecast had put the global AI market at $3.5 trillion, with around $1.2 trillion driven by enterprise AI, Reuters added. According to the report, the research note makes a number of points about Anthropic, the AI startup that has become a leader in the enterprise space. Citi said the company's enterprise demand and revenue are being driven by Claude models and Claude Code, while Anthropic's Mythos represents potential future benefits rather than a short-term source of revenue. The report said 80% of Anthropic's revenue is from its enterprise clients, showing a deliberate pivot away from consumer-focused AI strategies. Citi also says Anthropic's annualized revenue run rate had surpassed $30 billion by April, marking one of the fastest growth trajectories in the history of the tech world. While the company has inked major computing‑capacity deals, including up to $40 billion from Google earlier this week and as much as $25 billion from Amazon, it is facing increasing competition from the likes of OpenAI and Google, the report said. In related news, PYMNTS wrote earlier this week about the way enterprise AI was altering long-standing corporate billing models by "pricing AI in granular units such as tokens, compute cycles and API calls." The report uses the example of companies like Adobe, OpenAI, Anthropic, Salesforce and Hubspot offering usage-based and outcome-based pricing. "And from outcome-based models to engineering teams 'token-maxxing,' the disconnect between engineering velocity and financial visibility is becoming harder for CFOs to ignore," PYMNTS wrote. "A surge in internal experimentation, a new product feature or even a poorly optimized prompt can cause costs to spike in ways that are difficult to anticipate. The unit economics are precise, but the aggregate behavior is not." With that in mind, the report continued, decisions about which model to use are no longer just technical, but carry financial implications that need to be understood and managed.
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Citigroup lifts AI market view to over $4 trillion on enterprise adoption
April 28 (Reuters) - Citigroup raised its global artificial intelligence market forecast, citing faster-than-expected enterprise adoption of artificial intelligence tools for coding and automation, with companies such as Anthropic showing strong revenue growth. The Wall Street brokerage, in an April 27 note, expects the global AI market to reach more than $4.2 trillion by 2030, with roughly $1.9 trillion of that tied to enterprise AI. Citi previously forecast the global AI market to be worth more than $3.5 trillion, with nearly $1.2 trillion driven by enterprise AI. Here are key points from Citi's note on Anthropic: o Enterprise demand and revenue are being driven by Claude models and Claude Code, while Mythos represents potential future benefits rather than near-term monetisation. o Anthropic is "the leader in enterprise AI," due to strong traction in commercial uses such as software development and task-automating, agentic workflows. o Early and sustained focus on enterprise customers has given the firm a structural advantage, even as it navigates rising compute costs, capacity constraints and intensifying competition from rival AI labs. o About 80% of Anthropic's revenue comes from enterprise customers, reflecting a deliberate shift away from consumer-first AI strategies. o Anthropic's annualised revenue run rate has surged past $30 billion by April, one of the fastest growth trajectories in tech history. o Company has signed major computing-capacity deals, including up to $40 billion from Google earlier this week and as much as $25 billion from Amazon. o Competition is tightening as OpenAI, Google and others push deeper into enterprise markets, shifting the battle toward workflow integration and reliability rather than AI model benchmarks. (Reporting by Rashika Singh and Kanishka Ajmera in Bengaluru; Editing by Harikrishnan Nair)
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Citigroup has increased its global artificial intelligence market forecast to over $4.2 trillion by 2030, up from $3.5 trillion, driven by faster-than-expected enterprise adoption of AI tools. The revised outlook highlights Anthropic's explosive growth, with its annualized revenue run rate surpassing $30 billion by April, making it one of the fastest growth trajectories in tech history.

Citigroup has significantly raised its outlook for the AI market, now projecting it will exceed $4.2 trillion by 2030, according to an April 27 research note
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. This represents a substantial increase from the bank's previous forecast of more than $3.5 trillion. The revised projection reflects faster-than-expected enterprise adoption of AI tools for coding and automation, with enterprise AI specifically expected to account for roughly $1.9 trillion of the total—up from the earlier estimate of nearly $1.2 trillion2
.The Wall Street brokerage's updated forecast underscores a fundamental shift in how businesses are integrating artificial intelligence into their operations. Companies are moving beyond experimental phases and embedding AI deeply into core workflows, from software development to task automation.
Citigroup's analysis highlights Anthropic as a standout example of explosive revenue growth in the enterprise space. The company's annualized revenue run rate has surged past $30 billion by April, representing one of the fastest growth trajectories in tech history
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. This remarkable acceleration demonstrates the commercial viability of focused enterprise strategies in the AI sector.According to Citi's research note, approximately 80% of Anthropic's revenue comes from enterprise customers, reflecting a deliberate shift away from consumer-first AI strategies
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. The company's enterprise demand and revenue are being driven primarily by Claude models and Claude Code, while its Mythos project represents potential future benefits rather than near-term monetization2
.Citi describes Anthropic as "the leader in enterprise AI," citing strong traction in commercial uses such as software development and task-automating, agentic workflows. The company's early and sustained focus on enterprise customers has provided a structural advantage, even as it navigates rising compute costs, capacity constraints and intensifying competition from rival AI labs
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.Anthropichas secured massive computing-capacity deals to support its growth trajectory, including up to $40 billion from Google earlier this week and as much as $25 billion from Amazon
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. These agreements underscore the infrastructure demands of scaling enterprise AI operations and the strategic importance major cloud providers place on AI workloads.However, competition is intensifying. OpenAI, Google, and other players are pushing deeper into enterprise markets, with the battle shifting toward workflow integration and reliability rather than just AI model benchmarks
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. This evolution suggests that technical performance alone won't determine market winners—operational integration and consistent delivery matter increasingly to enterprise buyers.Related Stories
The rapid enterprise adoption is fundamentally altering corporate billing models, with AI now priced in granular units such as tokens, compute cycles, and API calls
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. Companies like Adobe, OpenAI, Anthropic, Salesforce, and Hubspot are offering usage-based and outcome-based pricing structures that create new financial management challenges.The disconnect between engineering velocity and financial visibility is becoming harder for CFOs to ignore. A surge in internal experimentation, a new product feature, or even a poorly optimized prompt can cause costs to spike unpredictably. While the unit economics are precise, aggregate behavior remains difficult to forecast
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. Decisions about which model to use now carry financial implications that extend beyond technical considerations, requiring closer collaboration between engineering and finance teams.As enterprise AI continues its rapid expansion, organizations face the dual challenge of capturing automation benefits while managing the complexity of new pricing structures and competitive dynamics in an increasingly crowded market.
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