Which AI is best to make agents?

Key Facts

The AI agents market is forecast to grow from $7.84B in 2025 to $52.62B by 2030, according to MarketsandMarkets.
Ready-to-deploy agents dominated the market with a 69.19% share in 2023 per market.us.
Customer service and virtual assistants are the largest AI agent application segment at 34.85% share reports market.us.
79% of development teams already use low-code/no-code tools according to market.us.
Vertical AI agents for healthcare, finance, and legal are forecast to grow at a 62.7% CAGR per MarketsandMarkets.
Telefónica's AI agents handled 4.5 million monthly calls with 90% intent accuracy reports MarketsandMarkets.
60% of enterprises cite compliance risks and data governance as barriers to AI agent adoption per MarketsandMarkets.

The AI Agent Market: Growth and Opportunities

The AI agents market is experiencing explosive growth, with forecasts ranging from $52.62B by 2030 at a 46.3% CAGR to $251.38B by 2034 at 46.61% CAGR, according to market research and industry reports. This rapid expansion is driven by the increasing demand for ready-to-deploy agents, which held a 69.19% share in 2023, as reported by market.us. The preference for ready-to-deploy solutions is attributed to their immediate functionality and minimal technical skill required for deployment.

As the market continues to grow, businesses are looking for ways to leverage AI agents to improve customer service, sales, and marketing. OpenAI's guide to building AI agents highlights the importance of starting with a capable model and optimizing for cost and latency. Meanwhile, Microsoft's Copilot enables no-code agent building, making it easier for non-technical users to deploy agents.

Key trends in the AI agents market include:

The dominance of ready-to-deploy agents, with a 69.19% share in 2023
The growing demand for low-code/no-code agent creation platforms, with 79% of surveyed development teams already using these tools
The increasing importance of customer service and virtual assistants, which account for 34.85% of applications

These trends suggest that businesses are looking for easy-to-deploy and user-friendly AI agent solutions that can improve customer service and sales.

With the AI agents market expected to continue its rapid growth, it's essential for businesses to understand the opportunities and challenges associated with implementing these solutions. By leveraging ready-to-deploy agents and low-code/no-code platforms, businesses can improve customer service, reduce costs, and increase efficiency. As NIST's AI Risk Management Framework highlights, trustworthiness and accountability are critical factors in the adoption of AI agents. By prioritizing these factors and selecting the right platform and implementation approach, businesses can unlock the full potential of AI agents and drive growth and innovation.

Top AI Platforms for Agent Development

AI agents are transforming business operations, with industry forecasts projecting significant growth. According to market research, the AI agents market is expected to grow from $7.84 billion in 2025 to $52.62 billion by 2030, reflecting a compound annual growth rate (CAGR) of 46.3% source. Such explosive growth underscores the increasing reliance on AI to handle tasks such as customer service, sales follow-up, and administrative workflows. For businesses looking to leverage this technology, choosing the right platform is crucial. Let's examine the strengths and capabilities of the leading AI platforms—OpenAI, Microsoft, Google, IBM, and AWS.

OpenAI stands out for its comprehensive guidance on building AI agents. The company’s approach emphasizes the critical components of a language model for reasoning, tools/APIs for external interaction, and clear instructions for behavior and guardrails. OpenAI’s guide offers detailed architecture, model selection, and orchestration patterns, making it a robust choice for developers. According to a recent study, 79% of surveyed development teams already use low-code/no-code tools, which democratize AI development, and 84% credit them with enabling broader access to AI technologies source. Microsoft's Copilot, for instance, allows users to build agents without writing any code, facilitating rapid deployment and customization.

Microsoft's no-code approach with Copilot is particularly noteworthy. The platform enables users to define problems, build agents, add knowledge, and test, share, and scale their solutions iteratively. This method aligns with the growing demand for low-code/no-code agent creation platforms, which enable non-technical users to deploy AI agents effectively. By integrating AI agents into existing workflows, businesses can enhance efficiency and reduce operational costs.

Google, IBM, and AWS are also key players in the AI agents market, each offering unique strengths. Google’s expertise in natural language processing and machine learning makes it a strong contender for building sophisticated AI agents. AWS provides a scalable and flexible infrastructure, ideal for enterprises looking to deploy AI agents at scale. IBM’s Watson offers robust AI capabilities, particularly in data analytics and cognitive computing, which are crucial for developing intelligent agents.

For businesses, the choice of AI platform depends on specific needs and capabilities. Here are some key considerations:

**Platform Expertise**: Match the platform to the specific task. For example, OpenAI’s guidance suggests starting with the most capable model for prototyping and then optimizing for cost and latency.
**Customer Service and Voice Use Cases**: A recent report highlights that customer service and virtual assistants constitute the largest application segment at 34.85% share in 2023. This aligns well with AIQ’s focus on AI receptionists and voice agents.
**Vertical Specialization**: For specialized needs like healthcare or legal services, vertical AI agents are forecasted to grow at a 62.7% CAGR, outpacing horizontal agents. This vertical focus is crucial for businesses like AIQ that specialize in specific industries.

Agents by AIQ, the agent-focused arm of AIQ Labs, leverages these leading AI platforms to design, build, connect, and run done-for-you AI agents. From AI receptionists to sales follow-up and customer support agents, AIQ offers a range of solutions tailored to small and mid-size businesses. By focusing on ready-to-deploy agents, AIQ ensures that businesses can quickly implement AI solutions without the need for extensive technical expertise.

In conclusion, the leading AI platforms each offer unique advantages for building agents. OpenAI provides detailed technical guidance, Microsoft offers a no-code approach, Google excels in natural language processing, IBM specializes in data analytics, and AWS delivers scalable infrastructure. For businesses, choosing the right platform involves considering specific needs and leveraging the strengths of each provider. AIQ Labs, with its expertise in done-for-you AI agents, is well-positioned to help businesses navigate this landscape and implement effective AI solutions. If you’re interested in streamlining your operations with AI agents, consider booking a call to scope the agent that best fits your business needs.

AIQ's Done-For-You Agent Service: Practical Implementation

The AI agents market is growing explosively, with forecasts ranging from $52.62B by 2030 at a 46.3% CAGR to $251.38B by 2034 at 46.61% CAGR, according to market research and industry reports. This growth is driven by the increasing demand for ready-to-deploy agents, which held a 69.19% share in 2023, as reported by market.us.

AIQ's done-for-you agent service leverages top AI platforms, including OpenAI and Microsoft, to offer a practical implementation solution that addresses real business needs. By using these platforms, AIQ can provide effective and efficient agent-building capabilities, as outlined in OpenAI's guide to building AI agents.

Some key benefits of AIQ's done-for-you service include:

Ready-to-deploy agents, which provide immediate functionality and minimal technical skill required for deployment
Expertise in platform selection and implementation, ensuring the right platform is matched to each agent's job
Focus on customer service and voice use cases, which are the largest application segments, with 34.85% share in 2023, according to market.us

By emphasizing customer service and voice use cases, AIQ's done-for-you service can help businesses improve their customer experience and reduce manual busywork. For example, Telefónica's AI agents handled 4.5 million monthly calls with 90% intent accuracy, demonstrating the potential of voice agents at scale.

With 60% of enterprises citing compliance risks and data governance as barriers to AI agent adoption, according to market research, AIQ's transparent and human-operated approach can help address these concerns. By providing clear instructions and guardrails, as recommended by OpenAI's guidance, AIQ can ensure that its agents are trustworthy and accountable.

Overall, AIQ's done-for-you agent service offers a practical implementation solution that leverages top AI platforms to address real business needs. By focusing on ready-to-deploy agents, customer service, and voice use cases, AIQ can help businesses improve their customer experience and reduce manual busywork. With its transparent and human-operated approach, AIQ can also address concerns around compliance risks and data governance, making it an attractive option for businesses looking to adopt AI agents. To learn more about how AIQ's done-for-you agent service can benefit your business, book a call to scope your agent today.

Frequently Asked Questions

Which AI is actually the best for building agents?

There's no single winner — OpenAI, Microsoft, Google, IBM, and AWS are all named as the top companies in the AI agents market, and each has different strengths. OpenAI offers detailed technical guidance, Microsoft enables no-code building with Copilot, and AWS provides scalable infrastructure, so the best choice depends on your specific use case. For most small businesses, implementation quality matters more than platform choice.

Should I build my own AI agent or buy a ready-made one?

The market has already voted: ready-to-deploy agents held a 69.19% share in 2023, favored for their immediate functionality and minimal technical skill required. Ready-made agents are considered a low-risk investment with a proven track record, while build-your-own is mainly chosen when you need deep customization or proprietary data integration.

Can I build an AI agent without knowing how to code?

Yes — Microsoft Copilot lets you build agents without writing any code, and low-code/no-code tools are now mainstream, with 79% of surveyed development teams already using them. That said, DIY tools still require you to define the problem, add knowledge, test, and refine the agent iteratively, which takes time most small business owners don't have.

What are AI agents most commonly used for in businesses?

Customer service and virtual assistants are the largest application segment, accounting for 34.85% of applications in 2023. Voice agents are proving especially effective at scale — Telefónica's AI agents handled 4.5 million monthly calls with 90% intent accuracy.

What are the biggest risks or downsides of deploying AI agents?

60% of enterprises cite compliance risks and data governance as barriers to AI agent adoption, along with contextual understanding gaps and high implementation costs. The NIST AI Risk Management Framework recommends prioritizing trustworthiness and accountability, which is why transparent guardrails and human oversight matter when choosing how your agent is built and run.

How fast is the AI agent market growing, and does it matter for my business?

It's growing explosively — analysts project the market reaching $52.62B by 2030 at a 46.3% CAGR, with some forecasts as high as $251.38B by 2034. For business owners, the practical takeaway is that agents are becoming standard for handling missed calls, lead follow-up, and support, and 91% of surveyed development teams expect to integrate AI agents within two years.

Leveraging AI Agents for Business Growth: The Right Tools, The Right Approach

The AI agents market is expanding rapidly, with ready-to-deploy solutions dominating at 69.19% of the 2023 market share, offering businesses immediate functionality and reduced technical barriers. Platforms like OpenAI and Microsoft provide critical guidance and no-code tools, while AIQ’s done-for-you service bridges the gap between complexity and practical implementation. By focusing on customer service, voice agents, and vertical-specific expertise, AIQ addresses key pain points—like compliance risks and operational efficiency—without requiring in-house technical expertise. With 60% of enterprises citing data governance as a hurdle, AIQ’s transparent, human-operated approach aligns with NIST’s risk management principles, ensuring trustworthiness. For businesses seeking to automate tasks from lead follow-up to appointment scheduling, the right agent solution can cut costs and boost productivity. Telefónica’s success with AI agents handling 4.5 million monthly calls with 90% intent accuracy demonstrates scalable potential. If you’re ready to streamline operations without the complexity, explore how AIQ’s agents can fit your needs—book a call to scope the solution that works for you.

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