Ai Market Expects Surprising 2024 Power Shifts Among Vendors, Futurum Intelligence Ai Decision Maker Survey Shows

By Author: Arina Smith
Total Articles: 185
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Futurum Intelligence's recent study provides crucial insights into the trends and preferences in the AI market, specifically focusing on enterprise decision makers. Here are the key findings:

Market Dynamics and Monetization: After a year of AI innovation across various sectors, the market is poised to show signs of monetization among its players.

Vendor Preferences in AI Cloud Compute:

In 2023, AWS leads as the preferred vendor (22%), followed by Microsoft, Google, and IBM.
In 2024, companies exploring new entries favor Google as their top choice (11.1%), surpassing AWS and IBM.
AI Development Tools and Platforms:

Google is the top choice for insourcing companies seeking new vendors (7.2%), surpassing AMD.
Criteria for vendor change include expertise and experience with AI (40%), with implementation speed and timeline as failure criteria (23%).
Outsourcing and Insourcing Trends:

45% of outsourcing companies plan to change vendors in 2024, and 47% of insourcing companies intend to do the same.
Top decision criteria include expertise and experience with AI (40%), ...
... while failure criteria involve implementation speed and timeline (23%).
Consulting and Integrator Preferences:

Among outsourcing companies, Accenture is the primary consultant/integrator (25%), followed by Deloitte.
For SaaS/Embedded AI deployments, Microsoft leads (21%), followed by Google, AWS, and IBM.
SaaS/Embedded AI Applications:

Google and Microsoft are almost evenly ranked for vendor change in 2024 (9.6% and 9.2% respectively).
AWS and Google are top choices for End-to-End solutions integrated in 2024 (7% and 5.5%).
Overall Market Perspective:

The market is dynamic, with customers and integrators benefiting from diverse AI vendors and solutions.
Futurum Intelligence's survey provides valuable intelligence for market professionals, enabling better decision-making in building and deploying AI products and services.