Market Overview

Global Product-based Sales Training Market 2018-2022 | 13% CAGR Projection Over the Next Four Years | Technavio


The global product-based sales training market 2018-2022 is expected to
post a CAGR of close to 13% during the forecast period, according to the
latest market research report by Technavio.

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Technavio has published a new market research report on the global product-based sales training mark ...

Technavio has published a new market research report on the global product-based sales training market from 2018-2022. (Graphic: Business Wire)

A key factor driving the growth of the market is growing emphasis on
microlearning. The concept of microlearning enables organizations and
vendors to offer training in bite-sized formats. Microlearning or
bite-sized learning allows sales representatives to engage in
just-in-time training in certain specific skills or content, thus
providing them with the right product knowledge at the right time.
Microlearning can be offered in on various formats, which are suitable
for various training requirements.

This market research report on the global
product-based sales training market 2018-2022
also provides an
analysis of the most important trends expected to impact the market
outlook during the forecast period. Technavio classifies an emerging
trend as a major factor that has the potential to significantly impact
the market and contribute to its growth or decline.

This report is available at a USD 1,000 discount for a limited time
market snapshot before purchasing

In this report, Technavio highlights the growing use of artificial
intelligence in training as one of the key emerging trends in the global
product-based sales training market:

Global product-based sales training market:
Growing use of artificial intelligence in training

Owing to the steady rise in technologically enhanced training modules,
the concept of machine learning (ML), and artificial intelligence (AI)
is gaining traction in the global product-based sales training market.
The emergence of vast amounts of data from multiple social platforms and
sources offers companies more information on preferences of companies.
Companies are increasingly using this data to optimize the selling
process and offer training to the salesperson as well as to
manufacturing and product design teams to come up with new products.

"Due to the abundance of data in the market, AI algorithms can easily
identify the purchase patterns of customers and provide insights into
the best sales approach that can be used for customer retention. In
terms of product-based sales training, AI can identify employee learning
patterns, and through adaptive learning can create personalized learning
paths for individual learning experiences. This, in turn, aids the sales
management in companies to tailor and adapt the training content as per
the needs of each individual sales representative, thereby driving the
motivational level of the employees and resulting in higher knowledge
retention rates,"
says a senior analyst at Technavio for research on
education technology.

Global product-based sales training market:
Segmentation analysis

This market research report segments the global product-based sales
training market by learning method (blended training, online training,
and ILT), end-user (consumer goods sector, automotive sector, BFSI
sector, and other sectors), and geographical regions (APAC, EMEA, and
the Americas).

The Americas led the market in 2017 with a market share of close to 38%,
followed by APAC and EMEA respectively. The region is expected to
continue to dominate the market during the forecast period.

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Some of the key topics covered in the report include:

Market Landscape

  • Market ecosystem
  • Market characteristics
  • Market segmentation analysis

Market Sizing

  • Market definition
  • Market size and forecast

Five Forces Analysis

Market Segmentation

Geographical Segmentation

  • Regional comparison
  • Key leading countries

Market Drivers

Market Challenges

Market Trends

Vendor Landscape

  • Vendors covered
  • Vendor classification
  • Market positioning of vendors
  • Competitive scenario

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