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Chatbot market revenue to cross the billion-dollar mark by 2024, BFSI and healthcare to emerge as pivotal end users of AI based chatbots

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Technological advancement in communication is lately undergoing a once-in-a-decade paradigm shift. The growth of chatbot market bears evidence of this stupendous transformation, the impact of which is felt across the information technology domain. As artificial intelligence quickly spins out of the domain of academic research and enters mainstream business communication, an anticipated 80% of businesses expected to use some form of a chatbot. Driven by this extensive demand, chatbot market share will register a CAGR of 31% over 2018-2024.

Asia Pacific Chatbot Market Size, By Application, 2017 & 2024 (USD Million)
Asia Pacific Chatbot Market Size, By Application, 2017 & 2024 (USD Million)

Tech giants, ranging from Facebook and Google to Apple, Amazon and Microsoft have made commendable investments in developing sophisticated AI. These companies are indeed being given a worthy competition by startups dedicated to chatbot development and machine learning tools. As the advancement of chatbots and the quality of the same are deeply grounded in AI, businesses will benefit extensively with AI expansion. The effect of AI expansion is becoming apparent in industries such as banking, hospitality tourism, education, etc. Incidentally, these businesses have also been progressing majorly as chatbot market depicts an expansion.

In the past enterprises have tried to present a more professional image with the help of customer support personnel but often their unavailability over the phone has only backfired and frustrated the customer further. With chatbots, enterprises are updating to the 24*7 communication option and customers are deriving more satisfaction with the informed, non-intrusive and direct resolution of their queries. For instance, in the healthcare industry, hospitals have engaged chatbots to automate the process of booking doctor appointments. While such a conversation can be handled by a chatbot powered with Natural Language Understanding and AI, it eases the workload of the contact center by as much as 30% and makes hospitals more efficient, in turn strengthening the adoption of chatbots and augmenting the chatbot market growth.

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The chatbot market is at present being dominated by rule based and machine learning-based chatbots. While simple rule based chatbots are economic and effectively handle basic customer queries, their drawback is that they do not understand intent and context of a conversation. On the other hand, chatbots that are using pattern recognition, data analysis and predictive analytics as the three pillars for development are being more readily employed in businesses as all it takes for the chatbot to learn and enhance its data processing speed is continuous exposition and data feeding. This might explain why rule based chatbots, in 2017, despite having accounted for substantial market share, are forecast to remain modestly profit-oriented over 2018-2024. However, AI based chatbots, not surprisingly, are anticipated to record a CAGR of 53% during the same period.

According to experts, financial and healthcare institutions will have an easier time adopting chatbots due to their structured processes that make automation easier. For instance, Bank of America’s chatbot Erica made major headlines, having registered 1 million users within 3 months. Financial advice provided by the chatbot and easy transaction searches are the factors that made Erica such a big hit. Analysts listed transactions with popular merchants such as Walmart, Uber, Amazon, Costco, etc., as among the top queries that customers search for. When Erica is asked to show all transactions with a particular merchant, such as Amazon, Erica lists all debit, credit and check transactions, which makes online banking much easier to keep track of. Banks all over the world have already employed some form of chatbot or the other, making BFSI one of the fastest growing segments of the chatbot market.

It is essential to mention that chatbots are not being limited to a particular functionality. Instead, companies like Hugging Face are developing chatbots that can be used by teenagers to generate a digital friend to chat with and trade selfies. In a seed round, the startup raised $4 million for the development of a chatbot that focuses on emotions and entertainment. As per estimates, Hugging Face logs over a million messages per day. The aforementioned instance depicts that continuous research and development activities will characterize chatbot industry outlook in the years ahead, aiding the vertical to traverse a highly progressive growth path over 2018-2024.

Author NameParoma Bhattacharya

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Cloud natural language processing market to witness a double-digit growth rate over 2017-2024, driven by a flurry of rapidly advanced tech innovations

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The competitive spectrum of cloud natural language processing market proudly boasts of some of most acclaimed top-shots, such as Amazon Web Services, Fuji Xerox, Baidu, Google, Netbase Solutions, IBM, Microsoft, Verint Systems, Apple Inc., SAP SE, Dolbey Systems, HPE, Facebook, and Nuance Communication. Given the distinguished stance these firms have in the tech cosmos, it comes as no surprise that these companies have been going the whole hog to bring forth a range of highly innovative products that would benefit the cloud NLP industry. The intensely fierce combative environment has made it even more mandatory for companies to adopt tried-and-tested as well as unique, out-of-the-box growth strategies to sustain in cloud NLP market. For instance, tech giant Google, in March this year, had announced the acquisition of Kaggle, a platform hosting machine learning and data science competitions. Through this takeover, Google plausibly aims to acquire one of the most active communities for data scientists, taking a step further toward establishing external integrations with its cloud platform and strengthening its position in cloud natural language processing market.

U.S. Cloud NLP Market Size, By Product, 2016 & 2024 (USD Million)
U.S. Cloud NLP Market Size, By Product, 2016 & 2024 (USD Million)

It is prudent to mention that prior to this acquisition, Google and Kaggle had also joined forces to host a machine learning competition worth USD 100,000, revolving around YouTube video classification. It is thus undeniable that similar to Google, numerous other tech companies have been going the whole nine yards to exploit IoT and big data technology, both which work in tandem with NLP, the result of which would be explicitly visible from the commercialization potential of cloud NLP industry. As per estimates, cloud natural language processing market size was pegged at USD 1.5 billion in 2016, primarily driven by the robust investments in artificial intelligence, that is deployed across a plethora of applications such as machine learning, advanced analytics, robotics, and more.

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One of the most noteworthy instances that affirms the participation of tech giants in cloud NLP industry is the plethora of services that Amazon Web Services has announced to provide this year. Reportedly, the retail behemoth that holds a fair proportion of cloud natural language processing market share, has launched a wide-ranging series spanning 22 all-new services that comprise everything – right from data storage to analysis, and machine learning to convenient cloud transition. Amazon’s prodigious expertise in tapping the cloud, big data tech, IoT, and other innovations to make technology access convenient and flexible for software developers is indeed commendable. The e-commerce player, through this mega launch, has indeed consolidated its presence in numerous business verticals, cloud NLP industry being one of the most prominent ones. Furthermore, it is unquestionable that Amazon’s move would prompt dexterous rivals to break barriers and come up with intensely unique service portfolios of their own, which in consequence, would have a rather lucrative impact on cloud NLP market trends. As the resultant products and services would find pertinent utilization across myriad end-use sectors, such as the BFSI domain, for cross boarder payments, customer documentation, foreign exchange, customer voice processing, solving insurance queries, and text mining, cloud natural language processing market share would traverse a highly profitable growth path in the years ahead. The insights provided by Global Market Insights, Inc., with regards to the same, affirm the authenticity of the declaration – as per the firm’s analysis report, cloud natural language processing market size is likely to cross a valuation of USD 6 billion by 2024, making this business vertical one of most remunerative spaces for potential investors.

As the elbowroom for technology transcends boundaries in the future, cloud natural language processing industry outlook is likely to witness a dynamic transformation, given the contribution of big data and IoT toward deriving powerful insights to ensure quicker decision-making in the fields of marketing, product management, competitive intelligence, etc. The robustly growing demand for content localization would also massively fuel the requirement of NLP services, thereby augmenting the revenue graph of cloud natural language processing industry. With major vendors attempting to launch extensively innovative products for a widespread application spectrum, and the increasing demand for ingenious analytics software that would command the deployment of the cloud space to derive business insights, cloud NLP market size is forecast to grow at an appreciable CAGR of 17% over 2017-2024, as per a report put together by Global Market Insights, Inc.

Author Name : Saipriya Iyer