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Conversation Intelligence Software Market Research Report – Segmentation by Type (ChatBots, Intelligence Virtual Assistant (IVA)); Technology (Natural Language Processing (NLP), Machine Learning (ML), Deep Learning, Automatic Speech Recognition (ASR)); End User (IT & Telecom, BFSI, Retail & E-Commerce, Healthcare, Education, Government, Automotive, Others); and By Region- Size, Share, Growth Analysis | Forecast (2023 – 2030)

Global Conversation Intelligence Software Market Size (2023 – 2030)

The Global Conversation Intelligence Software Market is esteemed at USD 9.47 Billion in 2024 and is anticipated to be a value of USD 43.03 Billion by 2030, growing at a fast CAGR of 24.14% during the forecast period 2024-2030.

CONVERSATION

The Conversation Intelligence Software technology enables companies to analyse and improve the effectiveness of their customer interactions, such as phone calls and chat conversations. Using Artificial intelligence and Natural language processing (NLP), this type of software can be used by businesses to note, evaluate, and provide insights into customer interactions, thereby enhancing customer service, revenues, and conformity.Furthermore, the market for conversation intelligence software is expanding quickly due to the high demand for customer service and engagement as well as the need for more effective sales and marketing. Advances in machine learning (ML) and natural language processing (NLP) are also propelling the market because they make it simpler for companies to automate and enhance their conversational interactions with customers. The adoption of conversation intelligence software has also been accelerated by the rise of remote work and the move to online channels for customer engagement. As more industries invest in these technologies to improve their capacity for customer engagement and support, the overall market is predicted to keep growing in the year ahead.

Global Conversation Intelligence Software Market Drivers:

The Conversation Intelligence Software Market is being driven primarily by the rising popularity of cloud-based solutions and the rising demand for customer service automation.

To cut costs and increase efficiency, businesses are looking to automate their customer service processes. By providing insights into customer interactions, conversation intelligence software can assist businesses in enhancing customer service, sales, and conformity.Additionally, a significant factor in the market's expansion is the growing use of cloud-based solutions. Compared to on-premises solutions, cloud-based conversation intelligence software is more cost-effective and simpler to implement and maintain. Additionally, cloud-based solutions provide scalability and adaptability, which is crucial for companies looking to grow. The Conversation Intelligence Software Market is expanding due to the rising popularity of cloud-based solutions and the rising demand for customer service automation. Businesses and technology providers have the chance to enhance their operations and come up with fresh, creative solutions owing to this technology.

Conversation intelligence software uses AI, ML to improve customer understanding, marketing, and service efficiency.

The increasing use of AI and ML approaches is driving the market for conversation intelligence software. These technologies provide more accurate and efficient client contact analysis, enhancing comprehension of client needs and preferences. This could lead to more effective marketing and sales campaigns as well as client services that are more targeted and individualised. The use of AI and ML can also automate many manual customer service tasks, resulting in cost savings and increased business efficiency. As long as companies continue to invest in these technologies, conversation intelligence software will likely remain in demand.

Global Conversation Intelligence Software Market Challenges:

For some businesses, the expense of implementing and maintaining conversation intelligence software can be a barrier. The initial investment in the software, as well as ongoing costs for data storage, updates, and technical support, may all fall under this category.However, the penetration of conversational Intelligence software is hampered by the need for skilled professionals to deal with it and a lack of knowledge about it. Businesses place a higher priority on providing a digital experience of the highest possible quality, and customers want their voices to be heard. Companies now have the ability to provide a superior customer experience and swiftly and effectively respond to complex inquiries due to the development of conversational Intelligence software.

Global Conversation Intelligence Software Market Opportunities:

The global market for Conversation Intelligence Software offers various opportunities: 

  • The Conversation Intelligence Software Market offers significant opportunities for companies and technology suppliers. As more companies look to automate customer service processes and enhance customer interactions, the demand for conversation intelligence software is anticipated to increase. This gives technology providers the chance to create and market fresh solutions that can meet the needs of companies operating across numerous industries.
  • Businesses have a huge opportunity to improve sales and customer service by utilising conversation intelligence software. By studying customer interactions to understand the needs and preferences of their customers, businesses can enhance their customer service and sales strategies. In order to comply, businesses can use conversation intelligence software to spot potential problems and areas for improvement in their interactions with customers.
  • Using software that is based on conversation intelligence to cut costs is another opportunity for businesses. Businesses can reduce labour costs and increase productivity by automating some customer service tasks. By eliminating the need for costly on-premises infrastructure, cloud-based conversation intelligence software can help businesses save money.
  • Vendors of technology have the chance to develop and market cutting-edge solutions that can satisfy the requirements of businesses in a variety of sectors due to the market demand. Vendors of technology can anticipate an increase in demand for their products and services as the market is likely to expand significantly over the next few years. In addition, in order for technology vendors to maintain their lead over rivals, they will need to continuously come up with novel concepts and capabilities.

COVID-19 Impact on Global Conversation Intelligence Software Market:

The spread of COVID-19 has had a significant impact on the growth of the market for software that uses conversational intelligence. The pandemic has accelerated the adoption of digital technologies like conversational AI, as an increasing number of businesses and organizations switched to remote work and digital channels for connecting with customers and employees. In industries like healthcare, retail, e-commerce, and telecommunications, chatbots and other conversational intelligence software solutions have seen rapid adoption because they enabled industries to continue providing customer service and support even during the epidemic.

Global Conversation Intelligence Software Market Recent Developments:

  • In April 2022, through the advancement of cloud technology and artificial intelligence, Microsoft and BPCL collaborated to transform the client experience. BPCL assembled physical workers who conversed with customers in everyday language. These administrative specialists then provided prompt, individualised assistance to clients and compiled client data for use in improving the client experience.
  • In November 2022, the New AI model ChatGPT from Open AI was launched. Developers programmed AI-powered chatbots to have conversations that resembled human conversation using OpenAI's ChatGPT conversational AI tool. ChatGPT is built on top of the OpenAI GPT-2 model, a sizable unsupervised natural language generation model.

COVERSATION INTELLIGENCE SOFTWARE MARKET REPORT COVERAGE:

REPORT METRIC

DETAILS

Market Size Available

2022 - 2030

Base Year

2022

Forecast Period

2023 - 2030

CAGR

24.14%

Segments Covered

By  Type, Technology, End User and Region

Various Analyses Covered

Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities

Regional Scope

North America, Europe, APAC, Latin America, Middle East & Africa

Key Companies Profiled

OpenAI, Microsoft, IBM, Oracle, Kore.Ai, Avaamo, Jio Haptik Technologies Ltd., Rasa Technologies Inc., Amazon Web Services, Google

Global Conversation Intelligence Software Market Segmentation:

Global Conversation Intelligence Software Market Segmentation: By Type

  • ChatBots
  • Intelligence Virtual Assistant (IVA)

Throughout the forecast period, the chatbots market is anticipated to hold onto its lead and command a sizeable share of more than 65%. This is because it can quickly and effectively provide customers with essential customer support. Customers can use chatbots to learn more, make appointments, and get clarification on any goods or services. They are a well-liked customer service tool because they can deal with a lot of customer inquiries efficiently.

Additionally, a lot of businesses that offer software services for conversational intelligence develop user-customizable chatbots and virtual assistants with a limited feature set. Chatbots are an effective and affordable customer service solution because they can comprehend and respond to questions from customers in natural language. Chatbots are being used by businesses more frequently because they can handle easy, routine tasks and offer quick customer service. They are therefore a well-liked option for companies of all sizes and across numerous industries.

Global Conversation Intelligence Software Market Segmentation: By Technology

  • Natural Language Processing (NLP)
  • Machine Learning (ML)
  • Deep Learning

During the anticipated time frame, the machine learning segment is anticipated to rule the market. Artificial intelligence (AI) is a subset that enables software to learn from data without being explicitly programmed. Machine learning is a popular choice for many industries, including retail, due to its capacity to analyse vast amounts of data and make predictions or decisions. In the retail sector, machine learning has been used to transform the customer experience, create new digital products and services, and enhance supply chains. In order to build AI platforms, many retail tech companies are investing in machine learning.

Furthermore, The Natural Language Processing (NLP) market is anticipated to grow at the fastest rate during the forecast period. NLP is an area of AI that focuses on how computers and human language interact. Conversational AI develops a voice or chat communication interface by fusing natural language processing with existing technologies like chatbots and voice assistants. The system can respond to or assist customers in a more human-like manner due to NLP's ability to understand and interpret human language.

Global Conversation Intelligence Software Market Segmentation: By End User

  • IT & Telecom
  • BFSI
  • Retail & E-Commerce
  • Healthcare
  • Education
  • Government
  • Automotive
  • Others

Conversational knowledge devices and strategies are utilized in retail and web-based business ventures to all the more likely serve clients by giving client care that is more powerful, expressive, and smart. During the conjecture time frame, critical development is anticipated in the BFSI market. The utilization of man-made consciousness (computer-based intelligence) chatbots in the monetary and banking administration industry are on the ascent since they make it more straightforward for clients to make safe instalments and speak with one another. Computer-based intelligence chatbots can likewise send cautions straightforwardly to clients and banks in case of a dubious extortion occurrence, as well as help workers in performing monotonously complex undertakings like overseeing inner documentation.

To furnish travellers and drivers with a more helpful everyday drive, the utilization of simulated intelligence voice partners in cars can give vehicle controls, cautions, ongoing suggestions, and substantially more.

Global Conversation Intelligence Software Market Segmentation: By Region

  • North America
  • Europe
  • Asia Pacific
  • Middle East
  • Latin America

North America is anticipated to administer the conversational insight programming market during the gauge time frame. The locale's top partnerships and administrative associations are helping vigorously in simulated intelligence-based advancements for assembling, BFSI, medical services, and retail. The market for conversational knowledge programming is probably going to be driven by the rising interest in North America for client care benefits that are controlled by man-made reasoning as well as the speedy take-up of state-of-the-art innovation. The North American conversational insight programming market is predicted to be overwhelmed by the US during the conjecture time frame, as indicated by the country's viewpoint. The presence of critical simulated intelligence players in the US is one of the principal factors adding to the market's strength.

The conversational knowledge programming market is anticipated to develop at the quickest rate in Asia-Pacific. The quick development of Web-based business organizations, expanded web utilization, expanded retail innovation use, mechanical progressions in medical services and counselling, and expanded web use is only a couple of the variables that are powering the interest in conversational knowledge programming. China is projectedto be the quickest-developing and biggest market in the Asia-Pacific region.

Global Conversation Intelligence Software Market Key Players:

  1. OpenAI
  2. Microsoft
  3. IBM
  4. Oracle
  5. Kore.Ai
  6. Avaamo
  7. Jio Haptik Technologies Ltd.
  8. Rasa Technologies Inc.
  9. Amazon Web Services
  10. Google

Chapter 1. CONVERSATION INTELLIGENCE SOFTWARE MARKET– Scope & Methodology

1.1. Market Segmentation

1.2. Assumptions

1.3. Research Methodology

1.4. Primary Sources

1.5. Secondary Sources

Chapter 2. CONVERSATION INTELLIGENCE SOFTWARE MARKET– Executive Summary

2.1. Market Size & Forecast – (2023 – 2030) ($M/$Bn)

2.2. Key Trends & Insights

2.3. COVID-19 Impact Analysis

      2.3.1. Impact during 2023 – 2030

      2.3.2. Impact on Supply – Demand

Chapter 3. CONVERSATION INTELLIGENCE SOFTWARE MARKET– Competition Scenario

3.1. Market Share Analysis

3.2. Product Benchmarking

3.3. Competitive Strategy & Development Scenario

3.4. Competitive Pricing Analysis

3.5. Supplier - Distributor Analysis

Chapter 4. CONVERSATION INTELLIGENCE SOFTWARE MARKET- Entry Scenario

4.1. Case Studies – Start-up/Thriving Companies

4.2. Regulatory Scenario - By Region

4.3 Customer Analysis

4.4. Porter's Five Force Model

       4.4.1. Bargaining Power of Suppliers

       4.4.2. Bargaining Powers of Customers

       4.4.3. Threat of New Entrants

       4.4.4. Rivalry among Existing Players

       4.4.5. Threat of Substitutes

Chapter 5.CONVERSATION INTELLIGENCE SOFTWARE MARKET- Landscape

5.1. Value Chain Analysis – Key Stakeholders Impact Analysis

5.2. Market Drivers

5.3. Market Restraints/Challenges

5.4. Market Opportunities

Chapter 6. CONVERSATION INTELLIGENCE SOFTWARE MARKET– By Type

6.1. ChatBots

6.2. Intelligence Virtual Assistant (IVA)

Chapter 7. CONVERSATION INTELLIGENCE SOFTWARE MARKET– By Technology

7.1. Natural Language Processing (NLP)

7.2. Machine Learning (ML)

7.3. Deep Learning

Chapter 8. CONVERSATION INTELLIGENCE SOFTWARE MARKET– By End User

8.1. IT & Telecom

8.2. BFSI

8.3. Retail & E-Commerce

8.4. Healthcare

8.5. Education

8.6. Government

8.7. Automotive

8.8. Others

Chapter 9. CONVERSATION INTELLIGENCE SOFTWARE MARKET– By Region

9.1. North America                                                   

9.2. Europe

9.3.The Asia Pacific

9.4. Latin America

9.5. Middle East

Chapter 10. CONVERSATION INTELLIGENCE SOFTWARE MARKET– Company Profiles – (Overview, Product Portfolio, Financials, Developments)

10.1. OpenAI

10.2. Microsoft

10.3. IBM

10.4. Oracle

10.5. Kore.Ai

10.6. Avaamo

10.7. Jio Haptik Technologies Ltd.

10.8. Rasa Technologies Inc.

10.9. Amazon Web Services

10.10. Google

 

 

 

 

 

 

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Frequently Asked Questions

Global Conversation Intelligence Software Market was at USD 7.63 Billion in 2022 and is anticipated to reach USD 43.03 Billion by 2030, growing at a fastest CAGR of 24.14% during the forecast period 2023-2030.

The Global Conversation Intelligence Software Market is being driven primarily by the rising popularity of cloud-based solutions and the rising demand for customer service automation.

The Segments under the Global Conversation Intelligence Software Market by Technology are Natural Language Processing (NLP),Machine Learning (ML), and Deep Learning.

 

China and Japan are the most dominating countries in the Asia Pacific region for the Global Conversation Intelligence Software Market.

Open AI, Oracle, and kore.AI are the three major leading players in the Global Conversation Intelligence Software Market

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