Call Center AI Market is projected to grow from USD 1.6 billion in 2022 to USD 4.1 billion by 2027; it is expected to grow at a CAGR of 21.3% % during 2022–2027 according to report published by MarketsandMarkets. AI can provide call center agents with robust historic data and insights about a customer, empowering agents to deliver cross-selling and up-selling opportunities. Organizations can also leverage AI-enabled chatbots and virtual agents to automate repetitive and manual processes, such as order placement, balance inquiries, general inquiries, technical assistance, and other customer services. Based on components, the market size of the solutions segment is expected to hold a larger market share in 2022, while the services segment is projected to grow at a higher CAGR during the forecast period. Call center AI solutions ensure the strengthening of customer relationships, resulting in increased first call resolution rate and improved customer experience. Call center AI solutions ensure the strengthening of customer relationships, resulting in increased first call resolution rate and improved customer experience.

Limitations/Assumptions of the Study 3.ABSTRACT OF THE STUDY About Market Industry Reports Market Industry Reports is at the forefront of innovation to address the worldwide industry trends and opportunities. We identified the caliber of market dynamics & hence we excel in the areas of innovation and optimization, integrity, curiosity, customer and brand experience, and strategic business intelligence through our research.

The global artificial intelligence in cybersecurity market is expected to grow from USD 4.13 billion 2017 to USD 26.80 billion by the end of 2024 at a Compound Annual Growth Rate (CAGR) of 30.64%. "Need to adapt to changing threats landscape from growing adoption of IoT and an increasing number of connected devices is one of the factors largely attributing to the growth of artificial intelligence in cybersecurity market globally" The factors attributing to the growth of the market are need to adapt to changing threats landscape from growing adoption of iot and an increasing number of connected devices, need to handle huge volumes of security data and accelerate detection and response times, and constantly increasing cyber terrorism. However, some factors such as inability of ai to restrict advance threats and zero-day attacks, and rapidly increasing instances of data poisoning attacks may hinder the market growth. The global artificial intelligence in cybersecurity market is expected to showcase the opportunities such as and ai featured security products to reduce false alerts, make investigations more efficient, and aid speed up the discovery of and response to cyber attacks. In the near future, the market may face the possible challenges in the growth due to evolving nature of cyber-attacks, and budgetary constraints.

According to the new research report "Artificial Intelligence in Supply Chain Market by Offering, Technology, Application (Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Freight Brokerage), End-User Industry, and Geography - Global Forecast to 2025", published by MarketsandMarkets, the market is expected to grow from USD 730.6 million in 2018 to USD 10,110.2 million by 2025, at a CAGR of 45.55% between 2018 and 2025. Major drivers for the market are the growth of big data, demand for greater visibility and transparency into supply chain data and processes, and adoption of AI for improving consumer services and their satisfaction. The major restraint for the market is the limited number of the artificial intelligent technology experts. Browse 64 market data Tables and 44 Figures spread through 176 Pages and in-depth TOC on "Artificial Intelligence in Supply Chain Market - Global Forecast to 2025" The software market is expected to grow at the highest CAGR for artificial intelligence in supply chain by 2025. The adoption of AI-based software solutions is increasing as it has beginning to apply machine learning capabilities that can automatically detect errors and make course corrections while processing real-time data streams.

The AI (chipsets) market is expected to grow from USD 7.06 Billion in 2018 to USD 59.26 Billion by 2025, at a CAGR of 35.5% from 2018 to 2025. The major drivers for the growth of this market are increasingly large and complex dataset driving the need for AI and the adoption of AI for improving consumer services. Moreover, the increasing number of AI applications, improving computing power, and declining hardware cost are propelling the market growth. In the technology segment, machine learning holds the largest share of the AI (chipsets) market. Moreover, the market for computer vision is expected to grow at the highest CAGR from 2018 to 2025.

The artificial intelligence chipset market has a huge potential across various industry verticals such … Tweet According to the latest market research report titled Artificial Intelligence (AI) Chipset market, the overall artificial intelligence chipset market is expected to be worth USD 16.06billion by 2022, growing at a CAGR of 62.9% from 2016 to 2022. The artificial intelligence chipset market has a huge potential across various industry verticals such as retail, transportation and automation, manufacturing, BFSI, and agriculture, among others. The major factor driving the artificial intelligence market globally is the growing number of applications of AI technologies in various end-user verticals and the growing adoption of AI for the improvement of consumer services. The growth of the artificial intelligence market is also driven by the development of IT infrastructure and the penetration of Smartphone's and smart wearable in countries such as India and China. Artificial Intelligence products market expected to hold the largest market share from 2016 to 2022 The AI market by products is expected to hold largest market share from 2016 to 2022.

The global text analytics market size is estimated to grow from $3.97 billion in 2017 to $8.79 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 17.2%. The customer experience management (CEM) is expected to hold the largest market share during the forecast period. Among the various applications in the text analytics market, the CEM application is expected to hold the largest market share during the forecast period. Text mining is the most traditional application in customer service and is frequently utilized to improve customer experience through various information sources. Today, text analytics is implemented to offer quick, computerized feedback to the clients, which significantly reduces dependency on executives for resolving issues.

According to a new market research report, "Speech Analytics Market by Type (Solutions (Speech Engine, Indexing, Analysis and Query Tools, and Dash Boards and Reporting Tool) and Services), by Deployment Type (On- Remise, Cloud), by Organization Size, by Vertical, & by Region – Global Forecast to 2020?, published by MarketsandMarkets, the market size is estimated to grow from USD 589.2 Million in 2015 to USD 1.60 Billion by 2020, at an estimated Compound Annual Growth Rate (CAGR) of 22.0% from 2015 to 2020. Browse 66 market data Tables and 25 Figures spread through 145 Pages and in-depth TOC on"Speech Analytics Market" Early buyers will receive 10% customization on this report. The speech analytics technology is witnessing the rising demand due to the need to decipher hidden insights from the customer interaction data. Rising number of contact centers, importance of customer feedback, need for Customer Relationship Management (CRM), product development, increasing competition among organizations, and stringent compliance management are some of the factors deriving the demand of speech analytics solutions and services. The speech analytics solutions are expected to dominate the market from 2015 to 2020, with larger market share than the service segment, due to growing trends of analytical insights from customer interaction data.

Some of the key players operating in the artificial intelligence market are IBM Corp. (U.S.), Microsoft Corp. (U.S.), Google Inc. (U.S.), IPsoft (U.S.), FinGenius Corp. (U.K.), Rocket Fuel Inc. (U.S.), Mobileye N.V. (Israel), Kensho Technologies, Inc. (U.S.), Sentient Technologies (U.S.), and Zephyr Health (U.S.). The artificial intelligence market is segmented on the basis of technology into machine learning, natural language processing, image recognition, and speech processing. The market for AI was dominated by the machine learning technology as it provides the computers with the ability to learn without being explicitely programmed. This involves the development of computer programs that are capable of updating themselves when exposed to new data. The artificial intelligence market for the media & advertising sector is expected to account for the largest share of the overall artificial intelligence market during the forecast period due to the rising adoption of AI technologies in the media & advertising sector to determine the consumer behavior to influence their buying pattern.