{"id":25448,"date":"2026-10-07T21:09:27","date_gmt":"2026-10-07T21:09:27","guid":{"rendered":"https:\/\/insurance-canada.ca\/?p=86878"},"modified":"2026-10-07T21:09:27","modified_gmt":"2026-10-07T21:09:27","slug":"gartner-forecasts-worldwide-ai-spending-to-grow-49-5-in-2026","status":"publish","type":"post","link":"https:\/\/blog.lifeinsurance-orleans.ca\/index.php\/2026\/10\/07\/gartner-forecasts-worldwide-ai-spending-to-grow-49-5-in-2026\/","title":{"rendered":"Gartner Forecasts Worldwide AI Spending to Grow 49.5% in 2026"},"content":{"rendered":"

Convergence of AI Infrastructure Investment and AI Embedding into Software and Services is Driving AI Spending to Unprecedented Levels<\/h3>\n

Stamford, CT (Sept. 30, 2026) \u2013 Worldwide spending on AI is forecast to total $2.7 trillion in 2026, a 49.5% increase year-over-year, according to Gartner, Inc., a business and technology insights company.<\/p>\n

\u201cDemand for AI infrastructure (including AI-optimized IaaS, AI-optimized servers, AI network fabric, AI processing semiconductors and devices) to support anticipated future workloads remains strong and inelastic to pressures from memory-related pricing increases,\u201d said John-David Lovelock<\/a>, Distinguished VP Analyst at Gartner. \u201cThe buildout of AI data center capacity is the largest infrastructure project humanity has even undertaken. The capacity growth from hyperscalers and service providers purchasing AI-optimized servers will continue to be the largest single area of spending.\u201d<\/p>\n

In the software market, vendors across different software types are rapidly embedding agentic AI within their existing products to maintain relevance in the market and defend against new cross-functional agents (see Table 1). With GenAI<\/a> firmly in the Trough of Disillusionment<\/a> in 2026, enterprises are using these simpler embedded AI features from their incumbent software providers to grow operational efficiency and automate workflows, improve customer engagement and enhance decision making.<\/p>\n

Table 1: Worldwide AI Spending by Market, 2025-2027 (Millions of U.S. Dollars) <\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Market<\/strong><\/td>\n2025<\/strong><\/td>\n2026<\/strong><\/td>\n2027<\/strong><\/td>\n<\/tr>\n
AI Services<\/td>\n434,046<\/td>\n576,481<\/td>\n745,655<\/td>\n<\/tr>\n
AI Cybersecurity<\/td>\n25,920<\/td>\n51,347<\/td>\n85,997<\/td>\n<\/tr>\n
AI Software<\/td>\n288,168<\/td>\n461,637<\/td>\n656,353<\/td>\n<\/tr>\n
AI Agents and Assistants<\/td>\n16,481<\/td>\n29,219<\/td>\n65,472<\/td>\n<\/tr>\n
Generative AI Models<\/td>\n13,021<\/td>\n28,266<\/td>\n51,620<\/td>\n<\/tr>\n
AI Platforms for Data Science and Machine Learning<\/td>\n\n

19,405<\/p>\n<\/td>\n

\n

26,445<\/p>\n<\/td>\n

\n

35,552<\/p>\n<\/td>\n<\/tr>\n

AI Application Development Platforms<\/td>\n\n6,885<\/td>\n\n9,541<\/td>\n\n12,478<\/td>\n<\/tr>\n
AI Data<\/td>\n826<\/td>\n3,126<\/td>\n6,480<\/td>\n<\/tr>\n
AI Infrastructure<\/td>\n981,920<\/td>\n1,484,397<\/td>\n1,977,685<\/td>\n<\/tr>\n
Total AI Spending<\/strong><\/td>\n1,786,671<\/strong><\/td>\n2,670,460<\/strong><\/td>\n3,637,292<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Source: Gartner (September 2026)<\/sup><\/p>\n

\u201cMeanwhile enterprises are turning to service providers less often to help them manage the business transformation, and more often for the smaller indirect projects to exploit AI features of their incumbent software system,\u201d said Lovelock. \u201cThe risks associated with vendor lock-in, data sovereignty, and run-away costs are not deterring buyers from adopting these proprietary capabilities. The combination of transformation and indirect projects are forecast to drive a $1.2 trillion opportunity in AI services by 2030.\u201d<\/p>\n

Near-Term Outlook Changes<\/strong><\/p>\n

The short-term outlook for AI application development platforms has increased from 28% growth in 2026 in the previous forecast<\/a> to 39% in this quarter\u2019s forecast, as enterprises, software providers and services firms seek to develop custom AI applications tailored to their individual needs. Enterprises are looking to their providers to help them manage their costs and embed usage tracking into their workflows to evaluate success. For model providers, the pressure to offer more cost-efficient models that are aligned to enterprise use cases is opening a small but growing opportunity for domain-specific language models (DSLMs). As a result, the 2026 growth rate for generative AI models has increased from 110% growth in the previous forecast to 117% growth in the current forecast.<\/p>\n

Long-Term Outlook Changes<\/strong><\/p>\n

In the current forecast, Gartner has separated cross-functional agents and assistants from AI software and added consumer agents and assistants into the AI spending forecast to better show the emerging opportunity in this area.<\/p>\n

Gartner clients can read more in Forecast: AI Spending, Worldwide, 2025-2030, 2Q26<\/a>.<\/p>\n

Learn more in the complimentary Gartner webinar, How Soaring Memory Prices Are Changing Technology Spending<\/a>, on October 8, 2026, at 11:00 a.m. ET. Register here<\/a>.<\/p>\n

Gartner is the World Authority on AI<\/strong><\/h4>\n

Gartner is an indispensable partner to C-Level executives and technology providers as they implement AI strategies to achieve their mission-critical priorities. The independence and objectivity of Gartner insights provide clients with the confidence to make informed decisions and unlock the full potential of AI. Clients across the C-Level are using Gartner\u2019s proprietary<\/span> AskGartner<\/a> AI tool to determine how to leverage AI in their business. With more than 2,500 business and technology experts, 6,000 written insights, as well as more than 4,000 AI use cases and case studies, Gartner is the world authority on AI<\/span>. More information can be found here<\/a>.<\/p>\n

About Gartner for High Tech Leaders and Provider<\/span>s<\/h4>\n

Gartner for High Tech Leaders and Providers equips tech leaders and their teams with role-based best practices, industry insights and strategic views into emerging trends and market changes to achieve their mission-critical priorities and build the successful organizations of tomorrow<\/span>. Learn more<\/strong><\/a>.<\/p>\n

About Gartner<\/b><\/h4>\n

Gartner (NYSE: IT)<\/em> delivers actionable, objective business and technology insights that drive smarter decisions and stronger performance on an organization\u2019s mission-critical priorities<\/span><\/span>. To learn more, visit www.gartner.com<\/a>.<\/p>\n

Source: Gartner<\/i><\/p>\n

Tags: Artificial Intelligence (AI)<\/a>, Gartner<\/a> <\/p>\n","protected":false},"excerpt":{"rendered":"

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