Global Contact Center AI Software Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Global Contact Center AI Software Market 2024 by Company, Regions, Type and Application, Forecast to 2030

According to our (Global Info Research) latest study, the global Contact Center AI Software 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.

Contact center software allows companies to manage a high volume of inbound and outbound customer communications across a range of channels. This includes call center solutions, which focus on managing and handling incoming calls based on the number called and an associated database of handling instructions. Contact Centers, and related call centers, are typically part of a company’s overall customer relationship management (CRM) processes and strategy. Many products offer the ability to track and store individual caller data. As such, previous call histories can be accessed by the agent each time a customer calls. This can reduce call average handle time (AHT) and time spent manually entering customer data. Contact Center software is ideal for small, midsize, and large contact centers. It is used in a wide variety of industries. Many Contact Center products are now omni-channel, or multi-channel. These products are typically cloud-based and have expanded their capabilities beyond traditional call center activity. Omni-channel software has the capabilities to handle and integrate customer communications across all potential touchpoints and channels. These can include voice, VoIP, email, fax, video chat, SMS/text, and social media platforms.

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 1/79 of that of the United States.

The Global Info Research report includes an overview of the development of the Contact Center AI Software industry chain, the market status of Banking, Financial Services, and Insurance (BFSI) (Cloud-Based Type, On-Premise Type), Retail and Consumer Goods (Cloud-Based Type, On-Premise Type), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Contact Center AI Software.

Regionally, the report analyzes the Contact Center AI Software 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 Contact Center AI Software market, with robust domestic demand, supportive policies, and a strong manufacturing base.

Key Features:

The report presents comprehensive understanding of the Contact Center AI Software 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 Contact Center AI Software 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., Cloud-Based Type, On-Premise Type).

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 Contact Center AI Software market.

Regional Analysis: The report involves examining the Contact Center AI Software 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 Contact Center AI Software market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.

The report also involves a more granular approach to Contact Center AI Software:

Company Analysis: Report covers individual Contact Center AI Software 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 Contact Center AI Software This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Banking, Financial Services, and Insurance (BFSI), Retail and Consumer Goods).

Technology Analysis: Report covers specific technologies relevant to Contact Center AI Software. It assesses the current state, advancements, and potential future developments in Contact Center AI Software areas.

Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Contact Center AI Software 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

Contact Center AI Software 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
Cloud-Based Type
On-Premise Type

Market segment by Application
Banking, Financial Services, and Insurance (BFSI)
Retail and Consumer Goods
IT and Telecom
Healthcare
Travel and Hospitality
Government
Media and Entertainment
Others

Market segment by players, this report covers
Oracle Corporation
SAP SE
Alcatel-Lucent Enterprise
Avaya
Mitel
Nextiva
VoIP Logic
Asterisk
Elastix
NEC
RingCentral
Five9
NICE in Contact
Aspect
8x8
Inteliwise
Cisco Systems

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 Contact Center AI Software product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of Contact Center AI Software, with revenue, gross margin and global market share of Contact Center AI Software from 2019 to 2024.

Chapter 3, the Contact Center AI Software 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 Contact Center AI Software 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 Contact Center AI Software.

Chapter 13, to describe Contact Center AI Software research findings and conclusion.