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Global Sales Training Software Market to reach USD 5.4 billion by the end of 2029

Global Sales Training Software Market Size study & Forecast, by Deployment (On-premise and Cloud) by Enterprise Size (Large, Small & Medium), by End Use (BFSI, Automotive, Retail, Healthcare, IT & Telecom, Discrete Manufacturing, Government & Education and Others) and Regional Analysis, 2022-2029

Product Code: ICTEITS-98615212
Publish Date: 5-01-2023
Page: 200

Global Sales Training Software Market is valued at approximately USD 1.92 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 13.8% over the forecast period 2022-2029. With the help of sales training software, representatives may ramp up more quickly, develop their selling abilities, and be successful. The expansion of the industry can be attributed to intensifying corporate competitiveness and evolving company requirements. Small- and medium-sized businesses (SMEs) and major corporations often spend money on training their sales staff and other teams. Additionally, there is significant development potential due to the growing use of Customer Relationship Management (CRM) software, which offers sales enablement tools to promote effective collaboration with other sales professionals.

According to Statista, the worldwide Customer relationship management software in the year 2019 stood at USD 56.5 billion which increased to USD 69 billion in the year 2020. As a result, the rising revenue is indicating the rising adoption of customer relationship software among organizations, which is leading the growth of the market. Furthermore, rising demand from end-use industry and advancements in emerging technologies, such as Artificial Intelligence (AI), big data analytics, and cloud computing is creating lucrative growth in the market. However, the high cost of Sales Training Software stifles market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Sales Training Software Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. Among these regions, North America holds the largest share owing to the availability of a variety of programmes provided by Information Technology (IT) companies, combined with adaptable modules, which can be credited with the region’s success. Additionally, a sizeable portion of students is quickly converting to mobile-based IT learning. They can now use their gadgets to obtain information at any time and from anywhere. Additionally, expanding company prospects and ongoing technological advancements have significantly impacted regional market expansion. To satisfy client expectations, major American businesses are investing in sales training and performance management software. Furthermore, Asia Pacific holds the fastest share owing to factors such as The growing implementation of advanced technologies, such as Artificial Intelligence (AI) as well as Machine Learning (ML).

Major market player included in this report are:
Brainshark, Inc.
Mindmatrix Inc.
Mindtickle Inc.
Qstream, Inc.
Salesforce, Inc.
SalesHood Inc.
Zoho Corporation Pvt. Ltd.

Recent Developments in the Market:
 In February 2022, Sales Readiness Group (SRG), announced the introduction of a new executive-level selling training program named “Selling to Key Executives™. A brand-new, interesting training called Selling to Key Executives teaches salespeople how to effectively deal with executive-level customers. Sales executives, account managers, business development managers, and other salespeople who interact with senior executives can all benefit from this advanced sales training programme.
 In December 2021, Korsgaden International, a provider of financial services, collaborated with Allego to offer its sales training services. With the help of this collaboration, Korsgaden International will be able to offer its clients consulting and training services while utilising the Allego sales enablement platform, enabling sales transformation for achieving revenue targets in the constantly evolving insurance and financial services sectors.

Global Sales Training Software Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Deployment, Enterprise Size, End Use, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and Deployment offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Deployment:
By Enterprise Size:
Small & Medium
By End Use:
IT & Telecom
Discrete Manufacturing
Government & Education
By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Sales Training Software Market, by Region, 2019-2029 (USD Billion)
1.2.2. Sales Training Software Market, by Deployment, 2019-2029 (USD Billion)
1.2.3. Sales Training Software Market, by Enterprise Size, 2019-2029 (USD Billion)
1.2.4. Sales Training Software Market, by End Use, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Sales Training Software Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Sales Training Software Market Dynamics
3.1. Sales Training Software Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Rising adoption of Customer Relationship Management (CRM) software Rising demand from end-use industry
3.1.2. Market Challenges High Cost of Sales Training Software
3.1.3. Market Opportunities Advancements in emerging technologies, such as Artificial Intelligence (AI), big data analytics, and cloud computing.
Chapter 4. Global Sales Training Software Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Investment Adoption Model
4.5. Analyst Recommendation & Conclusion
4.6. Top investment opportunity
4.7. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Sales Training Software Market, by Deployment
6.1. Market Snapshot
6.2. Global Sales Training Software Market by Deployment, Performance – Potential Analysis
6.3. Global Sales Training Software Market Estimates & Forecasts by Deployment 2019-2029 (USD Billion)
6.4. Sales Training Software Market, Sub Segment Analysis
6.4.1. On-premise
6.4.2. Cloud
Chapter 7. Global Sales Training Software Market, by Enterprise Size
7.1. Market Snapshot
7.2. Global Sales Training Software Market by Enterprise Size, Performance – Potential Analysis
7.3. Global Sales Training Software Market Estimates & Forecasts by Enterprise Size 2019-2029 (USD Billion)
7.4. Sales Training Software Market, Sub Segment Analysis
7.4.1. Large
7.4.2. Small & Medium
Chapter 8. Global Sales Training Software Market, by End Use
8.1. Market Snapshot
8.2. Global Sales Training Software Market by End Use, Performance – Potential Analysis
8.3. Global Sales Training Software Market Estimates & Forecasts by End Use 2019-2029 (USD Billion)
8.4. Sales Training Software Market, Sub Segment Analysis
8.4.1. BFSI
8.4.2. Automotive
8.4.3. Retail
8.4.4. Healthcare
8.4.5. IT & Telecom
8.4.6. Discrete Manufacturing
8.4.7. Government & Education
8.4.8. Others
Chapter 9. Global Sales Training Software Market, Regional Analysis
9.1. Sales Training Software Market, Regional Market Snapshot
9.2. North America Sales Training Software Market
9.2.1. U.S. Sales Training Software Market Deployment breakdown estimates & forecasts, 2019-2029 Enterprise Size breakdown estimates & forecasts, 2019-2029 End Use breakdown estimates & forecasts, 2019-2029
9.2.2. Canada Sales Training Software Market
9.3. Europe Sales Training Software Market Snapshot
9.3.1. U.K. Sales Training Software Market
9.3.2. Germany Sales Training Software Market
9.3.3. France Sales Training Software Market
9.3.4. Spain Sales Training Software Market
9.3.5. Italy Sales Training Software Market
9.3.6. Rest of Europe Sales Training Software Market
9.4. Asia-Pacific Sales Training Software Market Snapshot
9.4.1. China Sales Training Software Market
9.4.2. India Sales Training Software Market
9.4.3. Japan Sales Training Software Market
9.4.4. Australia Sales Training Software Market
9.4.5. South Korea Sales Training Software Market
9.4.6. Rest of Asia Pacific Sales Training Software Market
9.5. Latin America Sales Training Software Market Snapshot
9.5.1. Brazil Sales Training Software Market
9.5.2. Mexico Sales Training Software Market
9.6. Rest of The World Sales Training Software Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. Allego Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.2.2. Brainshark, Inc.
10.2.3. Mindmatrix Inc.
10.2.4. Mindtickle Inc.
10.2.5. Qstream, Inc.
10.2.6. Salesforce, Inc.
10.2.7. SalesHood Inc.
10.2.8. SAP SE
10.2.9. Showpad
10.2.10. Zoho Corporation Pvt. Ltd.
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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