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Multichannel Analytics Market - Forecasts from 2021 to 2026

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    Report

  • 118 Pages
  • August 2021
  • Region: Global
  • Knowledge Sourcing Intelligence LLP
  • ID: 5457562
The multichannel analytics market is projected to grow at a CAGR of 22.41% during the forecast period to reach US$19.619 billion by 2026, from US$4.764 billion in 2019. Multi-channel analytics is a form of analytics under which the software used links multiple data on certain grounds and presents them on one sheet for better assessment and analysis. In the growing world of digitalization, an ocean of data has been created, a mixture of which has created complexity and confusion. Multi-channel analytics software is hence required to sort out these data, link them to certain grounds, and analyze them for yielding lucrative insights. The prime reason driving the market growth during the forecasted period is the increasing adoption of a cloud system, coupled with rising data collection and escalating trade complexities. Furthermore, to formulate company strategies and plans, firms demand insightful knowledge about customer behavior. The multi-channel analytics technology link different database to provide profound insight about the customer’s like and dislike, hence enables the firm to make a calculated decision. The various organization uses multi-channel analytics for internal purposes, to make a lucrative decision, based on a calculated and forecasted market. However, data analytics firms sell these insights in the industry, generating revenue. Hence, multi-channel analytics can be used a core and non-core revenue-generating operations.

The small and medium organization usage of multi-channel analytics is expected to grow at an exponential rate during the forecasted period. However, it is anticipated that large organizations will hold a larger share of the market.

Based on organization size, the multichannel analytics market is divided into small and medium organizations and large organizations. During the forecasted period, the small and medium organizations/ enterprises (SMEs) are projected to grow at an exponential rate. Mushrooming growth of these organizations is expected to contribute significantly towards the growth. As per data provided by the World Bank, SMEs account for 90% of global business and 50% of global employment. These types of organizations are growing at an exponential rate. Furthermore, increasing digitalization has increased the adoption of multi-channel analytics to generate greater insights. Moreover, government and World Bank financial support to SMEs are projected to boost operation and increase adoption of computer technology for lucrative prospects.

In Lebanon, for instance, World Bank invested US$30 million for the financial development of SMEs. US$70 million lines of credit provided to the sector in Jordon is expected to contribute towards the expansion of the enterprises, 77% of which is reserved for women enterprises. In Ethiopia, notable investment was made to encourage Women-Owned SMEs. The Development Bank of Nigeria benefited 50,000 end-borrowers by lending US$243.7 million to the MSME sector. In India, the government had launched several education programs, such as Mini Tools Room and Training Centre Scheme, for inculcating technological knowledge in the sector. Hence, it is expected that rising investment and technological knowledge in the sector will support the market growth.

Moreover, rising cloud computing in the SME sector is also projected to support the multi-channel market growth. In 2020, citing data from Techjury, 93% of the SMEs used cloud computing methods for enhanced business operation. Cloud-based deployment is emerging as a prime growth driver for multi-channel analytics software since the alternative is successfully able to collect and stores data remotely.

Asia Pacific region is predicted to grow at an exponential rate owing to rising internet penetration, increased skilled development programs, support by government and other organizations, and mushrooming SMEs.

Based on geography, the multichannel analytics market is segmented into North America, South America, Europe, Middle East, and Africa, and the Asia Pacific region. The Asia Pacific multi-channel analytics market is expected to grow at an exponential rate during the forecasted period owing to increasing internet penetration and mushrooming growth of SMEs in the area. Furthermore, increased government and organization investment is projected to support the market growth.

Covid Insights.


The coronavirus pandemic boosted the sales of the multichannel analytics market. with the outbreak of the virus, economies around the world adopted work from home culture, that significantly increased the usage of cloud computing and multi-channel analytics tool for superior insights in the market. Furthermore, people purchased several courses for their skill development, which included a significant increase in demand for analytics software. Also, major market players witnessed a significant increase in their users. Tableau, for instance, saw an increase of members to over 1 million in 2020, while members in 2017 were only 57,000.

Key Developments.


August 2019, Acquisition. Salesforce acquired multi-channel analytics software, tableau, aiming to expand its market hold in the multichannel analytics market. Tableau emerged as one of the global leaders in an analytics tool and has witnessed a significant increase in its users, owing to its user-friendliness and easy data collaboration and presentation. With Tableau by its side, Salesforce is expected to play a significant role in driving digital transformation.

Key Market Segments


By Type

  • Speech Analytics
  • Text Analytics
  • Data Analytics
  • Customer Feedback

By Deployment

  • On-premise
  • Cloud

By Organization Size

  • Small and Medium Organization
  • Large Organization

By End-User Industry

  • BFSI
  • Healthcare
  • Retail
  • Media & Entertainment
  • Communication & Technology
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • South Korea
  • India
  • Thailand
  • Taiwan
  • Indonesia
  • Others

Table of Contents

1. INTRODUCTION
1.1. Market Definition
1.2. Market Segmentation
2. RESEARCH METHODOLOGY
2.1. Research Data
2.2. Assumptions
3. EXECUTIVE SUMMARY
3.1. Research Highlights
4. MARKET DYNAMICS
4.1. Market Drivers
4.2. Market Restraints
4.3. Porters Five Forces Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Powers of Buyers
4.3.3. Threat of Substitutes
4.3.4. The threat of New Entrants
4.3.5. Competitive Rivalry in Industry
4.4. Industry Value Chain Analysis
5. MULTICHANNEL ANALYTICS MARKET, BY TYPE
5.1. Introduction
5.2. Speech Analytics
5.3. Text Analytics
5.4. Data Analytics
5.5. Customer Feedback
6. MULTICHANNEL ANALYTICS MARKET, BY DEPLOYMENT
6.1. Introduction
6.2. On-premise
6.3. Cloud
7. MULTICHANNEL ANALYTICS MARKET, BY ORGANIZATION SIZE
7.1. Introduction
7.2. Small and Medium Organization
7.3. Large Organization
8. MULTICHANNEL ANALYTICS MARKET, BY END-USER INDUSTRY
8.1. Introduction
8.2. BFSI
8.3. Healthcare
8.4. Retail
8.5. Media & Entertainment
8.6. Communication & Technology
8.7. Others
9. MULTICHANNEL ANALYTICS MARKET, BY GEOGRAPHY
9.1. Introduction
9.2. North America
9.2.1. United States
9.2.2. Canada
9.2.3. Mexico
9.3. South America
9.3.1. Brazil
9.3.2. Argentina
9.3.3. Others
9.4. Europe
9.4.1. Germany
9.4.2. France
9.4.3. United Kingdom
9.4.4. Spain
9.4.5. Others
9.5. Middle East and Africa
9.5.1. Saudi Arabia
9.5.2. UAE
9.5.3. Israel
9.5.4. Others
9.6. Asia Pacific
9.6.1. China
9.6.2. India
9.6.3. South Korea
9.6.4. Taiwan
9.6.5. Thailand
9.6.6. Indonesia
9.6.7. Japan
9.6.8. Others
10. COMPETITIVE ENVIRONMENT AND ANALYSIS
10.1. Major Players and Strategy Analysis
10.2. Emerging Players and Market Lucrative
10.3. Mergers, Acquisition, Agreements, and Collaborations
10.4. Vendor Competitiveness Matrix
11. COMPANY PROFILES
11.1. IBM
11.2. SAS SE
11.3. Ebiquity Plc
11.4. Oracle
11.5. Hewlett-Packard Development Company, L.P.
11.6. Nice System Ltd.
11.7. Teradata
11.8. Adobe
11.9. Salesforce
11.10. Google

Companies Mentioned

  • IBM
  • SAS SE
  • Ebiquity Plc
  • Oracle
  • Hewlett-Packard Development Company, L.P.
  • Nice System Ltd.
  • Teradata
  • Adobe
  • Salesforce
  • Google

Methodology

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Table Information