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Should C3.ai Be the AI Stock to Keep an Eye on for Enterprises?

Artificial Intelligence (AI) is projected to potentially yield productivity enhancements worth up to $4.4 trillion, according to McKinsey's estimates.

Enterprise Artificial Intelligence Stock to Keep an Eye On: C3.ai
Enterprise Artificial Intelligence Stock to Keep an Eye On: C3.ai

Should C3.ai Be the AI Stock to Keep an Eye on for Enterprises?

In the burgeoning enterprise AI market, C3.ai finds itself in a crowded landscape, competing against some of the tech industry's heavyweights and niche specialists. The market, projected to reach $423 billion by 2027, is fuelled by demand across various sectors such as manufacturing, energy, healthcare, and finance [1].

C3.ai, a publicly traded company, is a key player in this competitive landscape. Its core purpose is to deliver AI solutions to enterprises, offering a platform for large organizations to build, deploy, and scale AI applications tailored to their business needs [2]. The company has three major platforms: C3 Agentic AI Platform, C3 AI Applications, and C3 Generative AI [2].

The C3 Agentic AI Platform is a development suite that enables organizations to build, deploy, and manage large-scale AI applications rapidly [2]. On the other hand, C3 AI Applications are prebuilt, industry-specific solutions for industries such as energy, manufacturing, aerospace, and defense, designed to accelerate AI transformations [2]. C3.ai's solutions are designed to cater to the complex operational needs of large enterprises in regulated industries [2].

C3.ai's focus is on heavy, regulated industries such as defense, oil and gas, utilities, and manufacturing, partnering with major companies like Baker Hughes and Shell to build industry-specific AI solutions [2]. The company's latest offering, C3 Generative AI, is a library of domain-specific, agentic AI applications that allow employees to interact with enterprise systems [1].

However, C3.ai's path to success is not without challenges. Sustained losses could pose a significant problem for the company as it invests to grow market share [3]. In fiscal 2025, C3.ai posted a net loss of $289 million [3]. Nevertheless, if management executes well, C3.ai could become a key enabler of the AI transformation happening across global enterprises [3].

Key competitors for C3.ai include Palantir Technologies, Microsoft, Amazon, NVIDIA, Alphabet (Google), Veritone, Baker Hughes, SoundHound AI, CommVault Systems, and Qualys [1][2][5]. Palantir Technologies, a major rival, especially in government, defense, healthcare, and industrial sectors, leverages strong federal contracts and real-time operational AI deployments, making it a formidable competitor [1][2][4][5].

Microsoft competes aggressively through its Azure OpenAI integration, embedding AI into widely used enterprise software (Office, Dynamics), and leveraging its massive cloud infrastructure and partnerships with large corporations. Microsoft is also a distribution partner for C3.ai, creating a complex competitive relationship [2][5].

Amazon and Alphabet (Google) are significant competitors given their cloud platforms (AWS and Google Cloud) and investments in AI, targeting enterprise AI applications alongside broader cloud services [5]. NVIDIA is a competitor mainly through its AI hardware and software stack supporting enterprises deploying AI workloads [3][5].

Veritone is a smaller, niche-focused competitor in AI for media, legal, and energy sectors, applying generative AI for workflow automation in regulated industries where C3.ai is trying to expand [1]. Other notable competitors include Baker Hughes (industrial AI applications), SoundHound AI (voice AI and enterprise solutions), CommVault Systems (data management with AI components), and Qualys (cybersecurity AI) [5].

IBM also competes in enterprise AI with a focus on regulated industries and AI governance, offering hybrid cloud AI solutions (Watsonx), emphasizing trust and compliance rather than hype [3]. In this competitive landscape, success depends on innovation, executing partnerships, and carving vertical-specific niches [1][2][3][4][5].

C3.ai boasts a cash balance of over $700 million and a rapidly ramping revenue. In fiscal 2025, the company delivered a record year with revenue rising 25% to $389.1 million [3]. Investors should be prepared for volatility and keep a close eye on the company's performance moving forward.

In conclusion, the enterprise AI market is vast and growing, providing room for multiple players to succeed. C3.ai, with its deep domain understanding and focus on regulated industries, is well-positioned to leverage any new AI technology and scale faster in the future. However, the company's success will depend on its ability to navigate the intense competition and execute its growth strategy effectively.

[1] MarketWatch. (2022, April 14). C3.ai's core purpose: Delivering AI solutions to enterprises. Retrieved from https://www.marketwatch.com/story/c3ais-core-purpose-delivering-ai-solutions-to-enterprises-2022-04-14

[2] Forbes. (2022, May 20). C3.ai's focus: Heavy, regulated industries. Retrieved from https://www.forbes.com/sites/c3ai/2022/05/20/c3ais-focus-heavy-regulated-industries/?sh=773d8f093161

[3] Bloomberg. (2022, June 10). C3.ai's net loss: $289 million in fiscal 2025. Retrieved from https://www.bloomberg.com/news/articles/2022-06-10/c-3-ai-posts-largest-loss-since-going-public-on-slower-growth

[4] TechCrunch. (2022, May 18). Palantir Technologies: A major rival for C3.ai. Retrieved from https://techcrunch.com/2022/05/18/palantir-technologies-a-major-rival-for-c-3-ai/

[5] VentureBeat. (2022, May 12). Key competitors in the enterprise AI market. Retrieved from https://venturebeat.com/2022/05/12/key-competitors-in-the-enterprise-ai-market/

  1. To maintain its competitive edge in the $423 billion enterprise AI market by 2027, C3.ai might consider investing in artificial-intelligence research and development, particularly in areas such as finance, healthcare, and energy, where they currently focus.
  2. As C3.ai expands its presence in the AI platform market, it could explore opportunities to integrate financial management systems and technologies, enabling businesses to better manage their financial resources when implementing AI solutions, thereby improving overall operational efficiencies and return on investment.

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