The global Predictive Dialer Software market size is expected to be worth around US$ 12.21 billion by 2028, according to a new report by Vision Research Reports.
The global Predictive Dialer Software market size was valued at US$ 1.08 billion in 2020 and is anticipated to grow at a CAGR of 37.5% during forecast period 2021 to 2028.
Predictive dialer software uses statistical algorithms to predict the availability of contact center agents and estimates the normal time for phone calls to be answered. The dialing rate is then adjusted accordingly considering these two factors.
Businesses are widely adopting predictive dialer systems to reach out to a large number of customers automatically. Furthermore, predictive dialer dials from a list of phone numbers and can detect disconnected phone numbers, voicemail messages, busy signals, and unanswered numbers. Such a system potentially allows companies to keep their customers updated about a service issue or emergency.
Numerous businesses across the globe are adopting predictive dialer software to leverage automated dialer technology to connect with their customers in real-time. The software allows contact center agents to adjust the calling rate efficiently according to the sales benchmarks and quotas. The software also allows agents to access valuable customer information related to the next call in the lineup.
Predictive dialer software can allow contact center agents to effectively handle high call volumes. The software can also help businesses in improving agent efficiency and productivity with a lesser workforce. The outbreak of COVID-19 is anticipated to drive the demand for predictive dialer software as companies prefer working with a limited workforce amid the pandemic.
The software segment dominated the market in 2020 and accounted for a revenue share of more than 68.04%. The software can effectively skip busy signals and fake numbers, thereby helping agents in increasing the customer calling rate. The software also helps agents in enhancing customer experience by reducing the average call duration. Hence, businesses are typically adopting predictive dialer software to reduce idle time.
The services segment is anticipated to witness the fastest growth over the forecast period. The services segment has been further segmented into integration and deployment, support and maintenance, training and consulting. Buinesses are preferring predictive dialer software that is compatible with their existing systems. The software includes a comprehensive and easily accessible Application Program Interface (API) to allow seamless integration of the software with other business applications.
The on-premise segment dominated the market in 2020 and accounted for a revenue share of more than 55.04%. Organizations are preferring a hybrid cloud, which comprises at least one public cloud and on-premise system. Organizations are using the public cloud system for new sites and new projects but continuing to maintain an on-premise system for operational customer data. The hybrid approach allows an organization to exploit the cost-effectiveness and scalability associated with a cloud environment without exposing critical data and applications to third-party vulnerabilities.
The cloud segment is expected to witness the fastest growth over the forecast period. The growth can be attributed to the growing adoption of cloud-based software by businesses to eliminate the hassles and expenses associated with managing an on-premise system. Cloud-based systems allow businesses to work with lesser hardware and software resources. Cloud-based systems are also preferred owing to their seamless integration capabilities.
The large enterprises' segment dominated the market in 2020 and accounted for a revenue share of more than 54.04%. The adoption of predictive dialer software for cold-calling and inside sales and customer support activities is growing continuously. The software can benefit large enterprises as it is typically designed to handle a large number of customers’ calls in a very short period of time. Contact center agents in large enterprises are widely using this software owing to the advanced algorithms featured in the software to reduce the waiting time and improve agent efficiency.
The small and medium enterprises segment is anticipated to witness the fastest growth over the forecast period. The software typically reduces the number of dropped calls and hence the idle time of agents. The software also allows agents to access historical CRM reports so that they can handle customer queries effectively. Hence, small and medium enterprises are widely adopting predictive dialer software as a tool to reach more contacts simultaneously and increase the Return on Investment (ROI).
The IT and telecom segment dominated the market in 2020 and accounted for a revenue share of more than 27.04%. Predictive dialer is an automated dialing system that can potentially allow IT and telecom contact centers to significantly increase the number of outbound calls. The system connects agents to calls only if the call is answered by the customer. It also saves time spent on dealing with busy signals, unanswered calls, answering fax machines, disconnected lines, and any other automated response systems.
The government segment is anticipated to register the fastest CAGR over the forecast period. The growth can be attributed to the growing need for rolling out efficient public services. Government agencies are widely adopting predictive dialer systems to provide quality services to the public. Several companies are providing a myriad of automated, easy-to-use, and communications solutions for local, state, and federal government agencies and organizations.
North America dominated the market in 2020 and accounted for a revenue share of over 36.04%. North America is home to some of the prominent market players. A large number of contact centers operational in North America is also driving the adoption of predictive dialer systems in the region. Contact centers in the region are aggressively adopting these systems to streamline their operations, deliver information more efficiently, and execute internal processes more effectively.
The Asia Pacific market is expected to emerge as the fastest-growing regional market over the forecast period. The growing adoption of predictive dialer systems by both large and small and medium enterprises is expected to fuel the growth of the regional market. The large-scale adoption of cost-effective and cloud-based systems is anticipated to play a crucial role in fueling the growth of the regional market. Enterprises in the Asia Pacific are expanding their IT budgets, increasing their technology spending, and digitalizing their business operations, thereby opening growth opportunities for the regional market.
Integration & Deployment
Support & Maintenance
Training & Consulting
Enterprise Size Outlook
Small & Medium Enterprises
IT & Telecom
Middle East & Africa
The Predictive Dialer Software market research report covers definition, classification, product classification, product application, development trend, product technology, competitive landscape, industrial chain structure, industry overview, national policy and planning analysis of the industry, the latest dynamic analysis, etc., and also includes major. The study includes drivers and restraints of the global market. It covers the impact of these drivers and restraints on the demand during the forecast period. The report also highlights opportunities in the market at the global level.
The report provides size (in terms of volume and value) of Predictive Dialer Software market for the base year 2020 and the forecast between 2021 and 2028. Market numbers have been estimated based on form and application. Market size and forecast for each application segment have been provided for the global and regional market.
This report focuses on the global Predictive Dialer Software market status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Predictive Dialer Software market development in United States, Europe and China.
It is pertinent to consider that in a volatile global economy, we haven’t just conducted Predictive Dialer Software market forecasts in terms of CAGR, but also studied the market based on key parameters, including Year-on-Year (Y-o-Y) growth, to comprehend the certainty of the market and to find and present the lucrative opportunities in market.
In terms of production side, this report researches the Predictive Dialer Software capacity, production, value, ex-factory price, growth rate, market share for major manufacturers, regions (or countries) and type.
In terms of consumption side, this report focuses on the consumption of Predictive Dialer Software by regions (countries) and application.
Buyers of the report will have access to verified market figures, including global market size in terms of revenue and volume. As part of production analysis, the authors of the report have provided reliable estimations and calculations for global revenue and volume by Type segment of the global Predictive Dialer Software market. These figures have been provided in terms of both revenue and volume for the period 2017 to 2028. Additionally, the report provides accurate figures for production by region in terms of revenue as well as volume for the same period. The report also includes production capacity statistics for the same period.
With regard to production bases and technologies, the research in this report covers the production time, base distribution, technical parameters, research and development trends, technology sources, and sources of raw materials of major Predictive Dialer Software market companies.
Regarding the analysis of the industry chain, the research of this report covers the raw materials and equipment of Predictive Dialer Software market upstream, downstream customers, marketing channels, industry development trends and investment strategy recommendations. The more specific analysis also includes the main application areas of market and consumption, major regions and Consumption, major Chinese producers, distributors, raw material suppliers, equipment providers and their contact information, industry chain relationship analysis.
The research in this report also includes product parameters, production process, cost structure, and data information classified by region, technology and application. Finally, the paper model new project SWOT analysis and investment feasibility study of the case model.
Overall, this is an in-depth research report specifically for the Predictive Dialer Software industry. The research center uses an objective and fair way to conduct an in-depth analysis of the development trend of the industry, providing support and evidence for customer competition analysis, development planning, and investment decision-making. In the course of operation, the project has received support and assistance from technicians and marketing personnel in various links of the industry chain.
The Predictive Dialer Software market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to Predictive Dialer Software market.
Prominent players in the market are predicted to face tough competition from the new entrants. However, some of the key players are targeting to acquire the startup companies in order to maintain their dominance in the global market. For a detailed analysis of key companies, their strengths, weaknesses, threats, and opportunities are measured in the report by using industry-standard tools such as the SWOT analysis. Regional coverage of key companies is covered in the report to measure their dominance. Key manufacturers of Predictive Dialer Software market are focusing on introducing new products to meet the needs of the patrons. The feasibility of new products is also measured by using industry-standard tools.
Key companies are increasing their investments in research and development activities for the discovery of new products. There has also been a rise in the government funding for the introduction of new Predictive Dialer Software market. These factors have benefited the growth of the global market for Predictive Dialer Software. Going forward, key companies are predicted to benefit from the new product launches and the adoption of technological advancements. Technical advancements have benefited many industries and the global industry is not an exception.
New product launches and the expansion of already existing business are predicted to benefit the key players in maintaining their dominance in the global market for Predictive Dialer Software. The global market is segmented on the basis of region, application, en-users and product type. Based on region, the market is divided into North America, Europe, Asia-Pacific, Latin America and Middle East and Africa (MEA).
In this study, the years considered to estimate the market size of Predictive Dialer Software are as follows:
Reasons to Purchase this Report:
- Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
- Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
- Market value USD Million and volume Units Million data for each segment and sub-segment
- Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
- Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
In-depth interviews and discussions were conducted with several key market participants and opinion leaders to compile the research report.
This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.
Market Size Estimation
Top-down and bottom-up approaches are used to estimate and validate the global market size for company, regional division, product type and application (end users).
The market estimations in this report are based on the selling price (excluding any discounts provided by the manufacturer, distributor, wholesaler or traders). Market share analysis, assigned to each of the segments and regions are achieved through product utilization rate and average selling price.
Major manufacturers & their revenues, percentage splits, market shares, growth rates and breakdowns of the product markets are determined through secondary sources and verified through the primary sources.
All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or others factors are accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Vision Research Reports and presented in this report.
Market Breakdown and Data Triangulation
After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation. Extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report.
Secondary Sources occupies approximately 25% of data sources, such as press releases, annual reports, Non-Profit organizations, industry associations, governmental agencies and customs data, and so on. This research study includes secondary sources; directories; databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), TRADING ECONOMICS, and avention; Investing News Network; statista; Federal Reserve Economic Data; annual reports; investor presentations; and SEC filings of companies.
In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product manufacturers (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.
The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end users (product buyers), and related key executives from various key companies and organizations operating in the global market.
The study objectives of this report are:
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