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Conversational AI Market Worth $54.1 Billion by 2031- Exclusive Report by Meticulous Research®

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REDDING, Calif., July 23, 2024 /PRNewswire/ — According to a new market research report titled, ‘Conversational AI Market by Offering, Application, Organization Size, Deployment Mode, Sector (IT & Telecommunications, BFSI, Retail & E-commerce, Healthcare & Life Sciences, Travel & Hospitality, Education, Manufacturing)—Global Forecast to 2031, the global conversational AI market is projected to reach $54.1 billion by 2031, at a CAGR of 23.9% during the forecast period.

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Conversational AI is the branch of artificial intelligence that supports human-to-computer and computer-to-human interactions. Conversational AI plays an important role in applications such as customer service, information technology service management, human resource management, sales & marketing management, operations and supply chain management, finance and accounting, and other applications. Conversational AI solutions help to reduce the time and effort required by humans to perform time-consuming tasks. Conversational AI aims to learn from human conversations to make digital systems easy and intuitive to use. It saves time, so humans give their precious time to focus on manual tasks. Conversational AI Services combine all the technologies such as natural language processing (NLP), machine learning, deep learning, and artificial intelligence with traditional software such as chatbots, voice assistants, or voice recognition systems to help customers through either spoken written text or typed interface.

The growth of the conversational AI market is driven by the surge in demand for conversational AI solutions to improve call center operations and the proliferation of voice-enabled devices. However, a lack of accuracy in recognizing regional accents and dialects and low awareness about conversational AI solutions restrains the growth of this market. The high potential of AI-enabled voice assistants in the healthcare industry and the increasing proliferation of conversational AI solutions for sales and marketing management are expected to create growth opportunities for the players operating in the conversational AI market. However, data privacy and security concerns are a major challenge for market growth. Furthermore, AI chatbots with high emotional intelligence & the rise of voice-enabled assistants are the key trends observed in the conversational AI market.

The global conversational AI market is segmented by offering (solutions [chatbots, intelligent virtual assistants, speech recognition solutions, other conversational AI solutions], services (professional services, managed services), applications (customer service, information technology service management, human resource management, sales and marketing management, operations & supply chain management, finance and accounting, other applications), organization size (large enterprises, small & medium-sized enterprises), deployment mode (cloud-based deployment, on-premise deployment), sector(IT & telecommunications, BFSI, retail & e-commerce, healthcare & life sciences, travel & hospitality, education, government & public sector, media & entertainment, energy & utilities, manufacturing, and other sectors). The study also evaluates industry competitors and analyzes the market at regional and country levels.

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By offering, in 2024, the solutions segment is expected to account for the largest share of over 76.0% of the global conversational AI market. The large market share of this segment is attributed to the increasing focus on solution-centric automation capabilities, several solution providers investing in R&D, and the growing adoption of conversational AI solutions in various industries.

Additionally, this segment is projected to register the highest CAGR during the forecast period. The growth of this segment is driven by the increasing deployments of chatbots and digital assistants, a surge in demand for IVR systems, and initiatives by companies to launch speech recognition solutions and content management solutions.

By application, in 2024, the customer service segment is expected to account for the largest share of over 27.0% of the global conversational AI market. The large market share of this segment is attributed to the growing demand for digital assistants and chatbots in customer service for answering FAQs, increasing usage of AI-powered chatbots or virtual assistants for account management, rising need to analyze customer queries or statements, and conversational AI for multilingual support. However, this segment is also projected to register the highest CAGR during the forecast period. The growth of this segment is driven by the increasing usage of conversational AI for payment management and the increasing need for conversational AI for order tracking and order updates.

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By organization size, in 2024, the large enterprises segment is expected to account for the larger share of above 63.0% of the global conversational AI market. The large market share of this segment is attributed to the keen focus on developing strategic IT initiatives by large enterprises, the growing need to handle large volumes of customer-level data, early adoption of advanced technologies in retail, manufacturing, healthcare, and automotive sectors, and the growing need for better insights into customer responses. However, the small & medium-sized enterprises segment is projected to register the highest CAGR during the forecast period.

By deployment mode, in 2024, the cloud-based deployment segment is expected to account for the larger share of over 67.0% of the global conversational AI market. This segment’s large market share is attributed to the rising demand for benefits such as easy maintenance of customer data, cost-effectiveness, and scalability and the growing demand for conversational AI solutions for multi-cloud deployments.

Additionally, this segment is expected to register the highest CAGR during the forecast period. The growth of this segment is driven by the increasing implementations of cloud-based conversational AI and ongoing efforts by companies to launch cloud-based chatbots and digital assistants.

By sector, in 2024, the IT & telecommunications segment is expected to account for the largest share of over 28.0% of the global conversational AI market. The large market share of this segment is attributed to the increasing adoption of AI solutions for fraud detection and prevention, the surge in demand for conversational AI to improve call center operations, exerting efforts by companies to launch chatbots for IT service management, rising need for network optimization and maintenance.

Additionally, this segment is expected to register the highest CAGR during the forecast period. The growth of this segment is driven by the increasing implementation of chatbots and digital assistants to address a variety of IT customer questions and the growing need to resolve IT service issues quickly.

By geography, in 2024, North America is expected to account for the largest share of over 37.0% of the global conversational AI market. However, the Asia-Pacific region is projected to register the highest CAGR of over 26.0% during the forecast period. The growth of this regional market is driven by the growing emphasis of companies on launching chatbots and virtual assistants in the Asia-Pacific region, the growing demand for chatbots and voice assistant solutions, and the increasing demand for AI-powered customer support services.

The key players operating in the global conversational AI market are Google LLC (U.S.), Microsoft Corporation (U.S.), Amazon Web Services, Inc. (a subsidiary of Amazon.com, Inc.) (U.S.), Oracle Corporation (U.S.), International Business Machine Corporation (U.S.), NVIDIA Corporation (U.S.), Baidu, Inc. (China), Verint Systems Inc. (U.S.), SAP SE (Germany), AT & T Inc. (U.S.), Conversica, Inc. (U.S.), AssemblyAI, Inc.(U.S.), Kore.ai Inc. (U.S.), OpenAI OpCo, LLC (U.S.), and DRUID S.A. (Romania).

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Scope of the Report:

Conversational AI Market Assessment—by Offering 

SolutionsChatbotsIntelligent Virtual AssistantSpeech Recognition SolutionsOther Conversational AI SolutionsServicesProfessional ServicesManaged Services

Conversational AI Market Assessment—by Application 

Customer ServiceInformation Technology Service ManagementHuman Resource ManagementSales and Marketing ManagementOperations and Supply Chain ManagementFinance and AccountingOther Applications

Conversational AI Market Assessment—by Organization Size

Large EnterprisesSmall & Medium-sized Enterprises

Conversational AI Market Assessment—by Deployment Mode

Cloud-based DeploymentsOn-premise Deployments

Conversational AI Market Assessment—by Sector

IT & TelecommunicationsBFSIRetail & E-commerceHealthcare & Life SciencesTravel & HospitalityEducationGovernment & Public SectorMedia & EntertainmentEnergy & UtilitiesManufacturingOther Sectors

Conversational AI Market Assessment—by Geography

North AmericaU.S.CanadaEuropeGermanyU.K.FranceItalySpainNetherlandsRest of EuropeAsia-PacificChinaJapanIndiaSouth KoreaSingaporeRest of Asia-PacificLatin AmericaBrazilMexicoRest of Latin AmericaMiddle East & AfricaUAEIsraelRest of Middle East & Africa

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Related Reports:

Speech and Voice Recognition Market by Function (Speech, Voice Recognition), Technology (AI and Non-AI), Deployment Mode (Cloud, On-premise), End User (Consumer Electronics, Automotive, BFSI, Other End Users), and Geography – Global Forecast to 2030

Speech-to-text API Market by Offering (Solutions, Services), Deployment Mode, Organization Size, Application (Transcription, Customer Experience & Analytics, Subtitle & Caption Generation), End User (B2B, B2C, B2G, G2C), Geography – Global Forecast to 2030

Healthcare Virtual Assistant Market by Product (Chatbot And Smart Speaker), Technology (Speech Recognition, Text-To-Speech, And Text Based), End User (Providers, Payers, And Other End User), And Geography – Global Forecast To 2025

Speech Analytics Market by Component, Application (Customer Experience Management, Sales & Marketing Management, Risk & Compliance Management, Fraud Detection & Security Applications), Organization Size, Deployment Mode, End-use Industry (IT & Telecommunications, BFSI, Retail & Consumer Goods, Healthcare & Life Sciences, Business Process Outsourcing) – Global Forecast to 2029

Natural Language Processing Market by Component, Organization Size, Application, Sector (IT & Telecommunications, BFSI, Retail & E-commerce, and Healthcare & Life Sciences) – Global Forecast to 2030

About Meticulous Research®

Meticulous Research® was founded in 2010 and incorporated as Meticulous Market Research Pvt. Ltd. in 2013 as a private limited company under the Companies Act, 1956. Since its incorporation, the company has become the leading provider of premium market intelligence in North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa.

The name of our company defines our services, strengths, and values. Since the inception, we have only thrived to research, analyze, and present the critical market data with great attention to details. With the meticulous primary and secondary research techniques, we have built strong capabilities in data collection, interpretation, and analysis of data including qualitative and quantitative research with the finest team of analysts. We design our meticulously analyzed intelligent and value-driven syndicate market research reports, custom studies, quick turnaround research, and consulting solutions to address business challenges of sustainable growth.

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Marquis Who’s Who Honors Rupin Chothani for Engineering Leadership

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UNIONDALE, N.Y., July 23, 2026 /PRNewswire/ — Marquis Who’s Who honors Rupin Chothani for his leadership in engineering and project management. With more than two decades of professional experience to his credit, Mr. Chothani leverages a unique expertise in fire and petrochemical solutions to find success in his field. As project manager, project engineer and proposal manager at Technip Energies N.V., Mr. Chothani ensures effective results.

Drawn to Engineering

Coming from a family of engineers, Mr. Chothani was naturally drawn to the profession. This inclination was reinforced by comprehensive aptitude and attitude tests administered at the age of 14, which highlighted his strengths in engineering and architecture. Ultimately, this direction reinforced his determination to pursue a degree in mechanical engineering.

By 2003, Mr. Chothani earned a Bachelor of Science in Mechanical Engineering at the University of Mumbai. After a brief role as a junior manufacturing engineer at Artech Cooling Tower Pvt. Ltd., he completed a Master of Science in Mechanical Engineering at the University of Bridgeport in 2006. In addition to these degrees, Mr. Chothani later achieved AutoCAD certification.

Following his graduation in 2006, Mr. Chothani joined CB&I Lummus / ABB Lummus Heat Transfer (now Lummus Technology) as a thermal engineer. Though his work at Lummus Technology lasted only three years, Mr. Chothani was greatly influenced by mentor figures at the company. These mentors, including Ken Catala, Peter Harvard, Chin Dang and Miller Alanath Carter, provided essential guidance.

Building a Family

In December 2008, Mr. Chothani married his wife, Cathy. Along with his son and daughter, his family has contributed richly to his success in engineering and they continue to inspire him to excel. In addition to their support, Mr. Chothani recognizes that there is no alternative to hard work and dedicated learning.

From Lummus Technology to Technip Energies N.V.

Following his work at Lummus Technology, Mr. Chothani worked with Maco Corporation India Pvt. Ltd. By 2011, he joined Complete Heat Transfer Solutions – Environ Energy Systems as a thermal and mechanical engineer. By 2013, Mr. Chothani became a part of Technip Energies N.V. as a furnace mechanical engineer. By 2023, he added to this role and became a project manager, project engineer and proposal manager at the company.

In his current role at Technip Energies N.V., Mr. Chothani is responsible for a variety of essential duties. He manages and executes on engineering projects for ethylene cracking furnaces and heaters, and oversees proprietary technologies. Additionally, he actively coordinates with procurement, logistics, mechanical engineering and process engineering teams to ensure effective results.

Plans for the Future

Moving forward, Mr. Chothani hopes to advance his project management skills, particularly within the firejet industry. At the same time, he aims to share his knowledge of the industry with the next generation of professionals. Outside of his professional ambitions, Mr. Chothani intends to prepare his children to find success, inspiring them and their peers with hands-on experiments and full-day events.

About Marquis Who’s Who®:

Since 1899, when A. N. Marquis printed the First Edition of Who’s Who in America®, Marquis Who’s Who® has chronicled the lives of the most accomplished individuals and innovators from every significant field, including politics, business, medicine, law, education, art, religion and entertainment. Who’s Who in America® remains an essential biographical source for thousands of researchers, journalists, librarians and executive search firms worldwide. The suite of Marquis® publications can be viewed at the official Marquis Who’s Who® website, www.marquiswhoswho.com.

Marquis Who’s Who
Uniondale, NY
(844) 394 – 6946
info@marquiswhoswho.com
www.marquiswhoswho.com

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COALITION OF INDEPENDENT INTERNET PROVIDERS ASKS CRTC TO FIX ERRORS IN WHOLESALE FIBRE RATES

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Coalition of competitive ISPs say current fibre rates make competition impossible and threatens to harm millions of Canadian consumers

CHATHAM, ON, July 23, 2026 /CNW/ — A coalition of independent internet service providers (the Coalition) led by TekSavvy Solutions Inc. (TekSavvy) today applied to the Canadian Radio-Television and Telecommunications Commission (CRTC) to review and vary Telecom Order 2026-77, which set final wholesale rates for fibre internet services. In that decision, the CRTC approved wholesale rates for fibre internet services that are higher than the retail prices charged by the large carriers. This makes competition impossible, as independent providers are forced to either sell at a loss or set prices above the large carriers, leaving millions of Canadian consumers without competitive options for essential internet services.

The application identifies key errors that led the CRTC to approve severely inflated final wholesale rates, which make it economically impossible for independent providers to compete. The Coalition argues that the CRTC’s incorrect rates negate the very purpose of Canada’s wholesale framework, which is to foster competition in retail broadband markets. Specifically, the Coalition asks the CRTC to make three key changes to Telecom Order 2026-77:

Eliminate one cost factor that is inconsistent with the CRTC’s established costing principles, which artificially increased fibre wholesale rates by an estimated 25% to 30% (the Adjustment Factor).Reduce another element of the costing that is inflated above reasonable levels: The Coalition calls on the CRTC to reduce the markup applied to wholesale fibre services from 30% to 15%, reflecting declining costs, operational efficiencies, and the need to support competition.Correct technical errors relating to certain wholesale fibre speed descriptions.

“Canadians were promised greater competition for fibre internet services, but these rates make competition impossible.” said Andy Kaplan-Myrth, TekSavvy’s Vice President of Regulatory and Carrier Affairs. “The CRTC must correct these errors to ensure its wholesale rates promote broadband competition that challenges the market power of monopoly incumbents, lowers prices, and increases consumer choice.”

About the Coalition

The Coalition consists of competitive telecommunications providers and industry associations advocating for fair wholesale access to fibre networks and a competitive broadband marketplace that delivers affordable, high-quality Internet services to Canadians, including: TekSavvy Solutions Inc., BC Broadband Association (“BCBA”), Canada-Wide Internet Service Providers Association (“CanWISP”), Fibernetics Inc., ISP Telecom Inc., National Capital FreeNet Inc., Novus Entertainment Inc. and Purple Cow Internet Inc.

About TekSavvy Solution Inc.

Based in Chatham, Ontario, TekSavvy is Canada’s largest independent telecom service company. TekSavvy has been proudly delivering award-winning services and fighting for consumers’ rights for nearly 30 years. TekSavvy is committed to providing quality competitive choice and closing Canada’s digital divide.

SOURCE TekSavvy Solutions Inc.

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Monk Launches Voice Collections, Bringing AI Phone Calls and Callbacks to Accounts Receivable

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Monk’s collections agent, Julia, can now place outbound collection calls and answer inbound AR questions from a dedicated business number, so finance teams can use the channel that collects best without adding headcount.

Multimedia: Watch Voice Collections in action: https://youtu.be/w09PoN1yACE 

NEW YORK, July 23, 2026 /PRNewswire/ — Monk, the AI-native accounts receivable platform, today launched Voice Collections. Its collections agent, Julia, can now place outbound collection calls and answer inbound customer questions about invoices and payments from a dedicated phone number for each organization. The feature brings the phone, long the most effective collections channel and the hardest one to scale, into Monk’s Intelligent Collections.

Roughly $10 trillion sits in unpaid invoices worldwide, and the average invoice now takes 59 days to clear (Allianz). Most accounts receivable runs on email, and most of it waits. More than half of B2B invoices in the United States are overdue at any given time, and 92% of businesses are typically paid after their due date (Chaser, 2026). Phone calls recover overdue invoices two to three times better than email (Dunwise), yet 91% of finance teams still rely on email as their main follow-up channel and only 56% use the phone, because calling every overdue account by hand does not scale and a single human dunning call can cost $12 to $18 (HighRadius).

Voice Collections gives teams that coverage. Julia can call on the accounts a playbook flags for phone follow-up, and answer when a customer calls the same number back to ask about an invoice, a payment, or a bank detail. Businesses that follow up on 100% of overdue invoices are 76% more likely to be paid within a week (Chaser), and a voice agent is what makes full coverage possible.

Monk’s collections agent is already proven on the accounts it handles by email. Across Monk’s first 100 customers, Julia reaches customers with a 24% higher response rate than standard dunning and resolves 88.2% of collections with zero human intervention. Voice extends that reach to the phone.

“For years the assumption was that customers would not talk to an AI on the phone,” said George Kurdin, Founder and CEO of Monk. “The evidence now points the other way. People engage with a good voice agent, and in AR the phone was always the channel that collected best. We built Voice Collections so finance teams can finally use it at the scale email gave them.”

That assumption is worth retiring. In a University of Chicago Booth field study of roughly 70,000 interviews, people interviewed by a voice AI agent were 12% more likely to receive an offer, 18% more likely to start, and 17% more likely to still be there after 30 days, and 80% chose the voice AI over a human when given the choice. The setting was recruiting rather than collections, but the finding travels: given a capable voice agent, people lean in rather than hang up. A call also does something email cannot, which is secure a verbal promise to pay in the moment.

Built for finance, with the phone agents kept with strict guardrails

Voice in finance has to be constrained, and Monk designed Voice Collections around that from the start. The agent is read-only on the phone. It answers questions, confirms details, and routes the next step. It will not rewrite an invoice, change a payment status, or accept a sensitive payment change by voice.

The agent is also reference-based. If a caller asks about an invoice, Julia asks for both the company name and the invoice number before looking anything up, and it will not search broadly from a single detail. Every inbound and outbound call is kept in the collection record alongside the email history, so a callback is part of the same thread the team already sees, and anything that needs judgment escalates to a person.

“Voice in finance has to be careful by design,” said Joe Zhou, Co-Founder and CTO of Monk. “Julia will not browse across accounts or move money over the phone. A caller has to bring the company name and invoice number before it confirms anything, and every call lands in the record. In finance a 1% mistake is still unacceptable, so we built for that first and added the reach second.”

Teams run autonomous collections on Monk

Monk runs collections for finance teams at companies like Unify, Pump, Siro, and Elate, and Voice Collections extends what those teams already do by email onto the phone.

“We chose Monk to help automate our collections, a process previously demanding several hours a week of manual, one-off outreach,” said Will Stewart, Head of Finance and BizOps at Unify. “Today, our Monk agent is always running in the background and I have a single dashboard to manage AR from.”

At Pump, which manages volume across more than 1,500 customers, Monk has helped collect over $10 million in recent months.

Voice AI is now infrastructure

The timing reflects how far voice AI has come. It has moved from demo to infrastructure: Vapi has processed more than 1 billion calls, Bland handles over 3.5 million calls a week, and ElevenLabs raised a $500 million round at an $11 billion valuation in early 2026. Monk builds Voice Collections on that foundation and adds the part finance actually needs, which is the AR context, the controls, and the audit trail.

Voice Collections is available now as an opt-in feature. Monk configures the dedicated number and call behavior with each organization before turning it on in Collections. See it in action: https://youtu.be/w09PoN1yACE.

About Monk

Monk is the AI-native accounts receivable platform that helps finance teams turn revenue into cash. Its agent, Julia, runs collections, cash application, and forecasting as one connected system. Monk resolves 88.2% of collections with zero human intervention, reaches customers with a 24% higher response rate than standard dunning, reduces DSO by more than 40%, automatically matches 80% of incoming payments with a full audit trail, and gives finance teams back roughly 26 hours a month. Teams onboard in under a week and see results in their first month. More than $1.5 billion in receivables is managed on the platform, including for customers like Profound and ElevenLabs. Monk has raised $25 million and is based in New York.

Media contact
Kendall Warson
kendall@monk.com
+1 415-827-6585

Sources: Chaser 2026 Accounts Receivable research; Dunwise dunning research; HighRadius collection call cost analysis; University of Chicago Booth field study on AI in recruiting; voice AI figures compiled by Enterprise DNA; Federal Reserve data; Allianz Worldwide DSO survey.

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