Global On-premises Conversational AI Platforms Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Global On-premises Conversational AI Platforms Market 2024 by Company, Regions, Type and Application, Forecast to 2030

According to our (Global Info Research) latest study, the global On-premises Conversational AI Platforms market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.

On-premises conversational AI platforms refer to software solutions that enable organizations to deploy chatbots, virtual assistants, or other conversational AI systems within their own infrastructure or data centers instead of relying on cloud-based solutions. These platforms provide tools and frameworks for developing, managing, and deploying conversational AI applications within a company's own network. With on-premises conversational AI platforms, organizations have greater control over their data privacy and security, as data is not stored or processed in external cloud environments. This allows companies to leverage the benefits of conversational AI while maintaining compliance and control over their data.

China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/96 of that of the United States.

The Global Info Research report includes an overview of the development of the On-premises Conversational AI Platforms industry chain, the market status of Large Enterprises (Web, App), SMEs (Web, App), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of On-premises Conversational AI Platforms.

Regionally, the report analyzes the On-premises Conversational AI Platforms markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global On-premises Conversational AI Platforms market, with robust domestic demand, supportive policies, and a strong manufacturing base.

Key Features:

The report presents comprehensive understanding of the On-premises Conversational AI Platforms market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the On-premises Conversational AI Platforms industry.

The report involves analyzing the market at a macro level:

Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Web, App).

Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the On-premises Conversational AI Platforms market.

Regional Analysis: The report involves examining the On-premises Conversational AI Platforms market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.

Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the On-premises Conversational AI Platforms market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.

The report also involves a more granular approach to On-premises Conversational AI Platforms:

Company Analysis: Report covers individual On-premises Conversational AI Platforms players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.

Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards On-premises Conversational AI Platforms This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Large Enterprises, SMEs).

Technology Analysis: Report covers specific technologies relevant to On-premises Conversational AI Platforms. It assesses the current state, advancements, and potential future developments in On-premises Conversational AI Platforms areas.

Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the On-premises Conversational AI Platforms market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.

Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.

Market Segmentation

On-premises Conversational AI Platforms market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.

Market segment by Type
Web
App

Market segment by Application
Large Enterprises
SMEs

Market segment by players, this report covers
SAP
IBM
Microsoft
Ada
Kore.ai
Conversica
LivePerson
Genesys
Boost.ai
Kata.ai
Cognigy
OneReach.ai
Avaamo
Just AI
Kasisto
Active.Ai
Solvvy
Certainly
Hyro
Mindsay

Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe On-premises Conversational AI Platforms product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of On-premises Conversational AI Platforms, with revenue, gross margin and global market share of On-premises Conversational AI Platforms from 2019 to 2024.

Chapter 3, the On-premises Conversational AI Platforms competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and On-premises Conversational AI Platforms market forecast, by regions, type and application, with consumption value, from 2025 to 2030.

Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.

Chapter 12, the key raw materials and key suppliers, and industry chain of On-premises Conversational AI Platforms.

Chapter 13, to describe On-premises Conversational AI Platforms research findings and conclusion.