Conversational AI has become one of the most valuable tools for business leaders to emerge in the last few years. Offering businesses more effective ways to analyze conversations, deliver support to customers, and even empower agents, conversational AI is unlocking endless opportunities for today’s brands.
What’s more, evolutions in generative AI technologies, large language models, NLU, NLP, and machine learning ensure the technology is growing more valuable all the time. It’s little surprise that at present, the conversational AI market is growing at a CAGR of 22.6%, set to reach a value of more than $32.5 billion by 2030.
As the marketplace continues to evolve, a number of exciting trends have emerged over the last year, highlighting amazing opportunities for the future of the conversational AI space. Here are some of the hottest trends worth watching in 2023 and beyond.
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Conversational AI Becomes More Accessible
Perhaps one of the most significant trends driving the rapid growth of conversational AI, is the rising accessibility of the technology. In the past, creating conversational bots, smart assistants, and similar tools would have required extensive coding and technical knowledge. Now, the growing demand for these tools has prompted countless vendors to start implementing them directly into their platforms.
Generative AI and conversational AI solutions are becoming increasingly common within CCaaS (Contact Center as a Service) platforms, data analytics tools, and even CRM and sales tools. What’s more, many platform vendors make it easy for companies to customize these solutions, implementing their own language models and data.
As low-code and no-code toolkits continue to emerge in the AI space, it’s even becoming far easier for teams to create their own conversational AI solutions from scratch, adhering to the specific needs of their industries. Open-source large language models are giving developers and global enterprises more opportunities than ever before to build their own AI systems.
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Generative AI and LLMs Transform the Market
ChatGPT and similar generative AI models have taken the world of customer experience by storm in the last year. Large language models and generative AI tools are rapidly becoming a crucial part of the conversational AI toolkit, allowing companies to develop bots capable of providing a more intuitive, human-like experience to customers.
Some CCaaS vendors have already begun implementing their own generative AI capabilities into bot solutions designed for digital self-service. Additionally, companies like Microsoft are embedding these solutions into tools designed to empower the workforce too.
With the potential to improve customer experiences rapidly through context-driven and personalized conversations, generative AI solutions are likely to have a significant impact on the future of the customer service landscape. The ability to dynamically ingest content and deploy useful responses for customers will not only boost customer satisfaction rates, but help businesses to mitigate rising call volumes and customer service costs too.
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Voice AI Solutions Continue to Mature
Though many major players in the communications and customer service space are currently focusing on the benefits of conversational tools and generative AI capabilities for text-based customer service, there’s growing potential in the voice landscape too. This is crucial at a time when consumers still want to reach out to companies using voice tools.
Built into the voice landscape, conversational AI solutions can help to streamline the customer experience, ensuring customers are intelligently routed to agents based on their specific needs, and sentiment. The same tools can also collect useful information about the customer journey, provide insights into customer intent, and even provide direct assistance using natural language processing.
AI-driven IVR solutions could offer business leaders an excellent way to triage voice calls more effectively, and reduce the number of times customers need to repeat themselves, or be transferred to different members of staff.
