Global Digital Intelligence Platform Market Report to 2030

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Dublin, July 25, 2022 (GLOBE NEWSWIRE) — The “Digital Intelligence Platform Market Size, Share, Trends to 2030” report has been added to from ResearchAndMarkets.com offer.

The global digital intelligence platform market size is expected to reach USD 56.10 billion by 2030 and register a CAGR of 19.0% over the forecast period, according to the latest report. The market is primarily driven by the growing need for accurate data insights and analytics to enable business strategies.

Rising adoption of big data and advanced analytics solutions is another key driver for the growth of the digital intelligence platform market. The ability of these platforms to provide real-time insights into customer behavior and preferences is expected to further fuel the demand for these platforms over the forecast period.

The goal of the digital intelligence platform is to harness the data generated by humans and devices to make better decisions. This platform helps organizations collect, process and analyze data to improve their performance. It also provides tools for data management and analysis, as well as decision support.

Data analytics solutions that can be used in conjunction with a mobile engagement platform to extract and analyze customer behavior data are becoming increasingly popular in the business intelligence market. Digital intelligence platforms help organizations identify changes in customer behavior that are early indicators of customer churn or satisfaction. Organizations can use digital intelligence platforms to generate real-time information about their customers and prospects. These platforms allow organizations to better understand their customers by allowing them to monitor, analyze and predict customer behavior.

Digital intelligence platforms are gaining popularity among businesses as they enable organizations to improve customer engagement and loyalty. These platforms help organizations identify customers most likely to unsubscribe and also provide them with the ability to proactively engage with those customers. Digital intelligence platforms also help organizations better understand their target markets and understand customer buying behavior.

On-demand digital analytics platforms are widely deployed by enterprises to derive valuable insights from ever-growing datasets. On-demand digital analytics platforms are web-based applications that allow users to measure, analyze, and optimize their digital marketing efforts. Major factors driving the growth of the on-demand digital analytics platform market include the need for real-time data analytics, growing adoption of cloud-based solutions, and increasing need for customer segmentation. However, data security and privacy concerns are restraining the growth of the market.

Some highlights of the report

  • North America is expected to hold the largest market share in the on-demand digital analytics platform market, owing to the presence of a large number of key vendors in the region. APAC is expected to grow at the highest CAGR over the forecast period, owing to the increasing adoption of on-demand digital analytics platforms by small and medium-sized enterprises (SMEs) in the region.
  • In terms of platform type, the market is segmented into web analytics, social media analytics, mobile analytics, and others. Among these, the web analytics platform held the largest share in 2019 and is expected to maintain its dominance over the forecast period. The growing need for effective website management and optimization is expected to be the key driver for the growth of this segment.
  • The social media analytics platform is expected to experience the highest CAGR during the forecast period. The growing need for effective social media marketing and advertising is expected to be the key driver for the growth of this segment.
  • Based on application, the market is categorized into marketing, sales, customer service, supply chain management, and others. Among these, the marketing applications segment held the largest market share in 2019 and is expected to maintain its dominance over the forecast period. The growing need for accurate customer insights and data-driven marketing strategies is expected to be the key driver for the growth of this segment.
  • The customer service application is expected to experience the highest CAGR during the forecast period. The ability of digital intelligence platforms to provide real-time insights into customer behavior and preferences is expected to be the key driver for the growth of this segment.
  • In terms of deployment type, the market is divided into on-premises and cloud-based. Among these, the cloud-based segment held the largest share in 2019 and is expected to maintain its dominance over the forecast period. Rising adoption of cloud-based solutions due to their flexibility and scalability is expected to be the key driver for the growth of this segment.
  • In terms of enterprise size, the market is categorized into small and medium enterprises and large enterprises. Among these, the small and medium enterprise segment held the largest share in 2019 and is expected to maintain its dominance over the forecast period. The growing need for effective data management and analytics among small businesses is expected to be the key driver for the growth of this segment.
  • In terms of industry vertical, the market is categorized into BFSI, healthcare, retail & e-commerce, IT & telecommunications, media & entertainment, manufacturing, government & defense, and others. Among these, the BFSI segment held the largest share in 2019 and is expected to maintain its dominance over the forecast period. The growing need for fraud detection and risk management is expected to be the key driver for the growth of this segment.
  • The healthcare segment is expected to witness the highest CAGR during the forecast period. Growing need for efficient patient care and hospital administration is expected to be the key driver for the growth of this segment.

Main topics covered:

Chapter 1. Market Summary

Chapter 2. Executive Summary

Chapter 3. Indicative Metrics

Chapter 4. Digital Intelligence Platform Market Segmentation and Impact Analysis
4.1. Materials Segmentation Analysis of Digital Intelligence Platform Market
4.2. Industry outlook
4.2.1. Analysis of market indicators
4.2.2. Market Driver Analysis
4.2.2.1. Increase in data and the need to optimize project management and business processes
4.2.2.2. Increased adoption of digital intelligence platforms for competitive differentiation
4.2.2.3. Increased focus on social media analytics and personalization
4.2.3. Analysis of market constraints
4.2.3.1. Confidentiality and data security
4.2.3.2. System integration and interoperability issues
4.3. Technology Previews
4.4. Regulatory framework
4.5. Price trend analysis
4.6. Customer mapping
4.7. Covid-19 impact analysis
4.8. Influence of the global recession

Chapter 5. Digital Intelligence Platform Market by Components and Trends

Chapter 6. Digital Intelligence Platform Market by Touchpoint Insights & Trends

Chapter 7. Digital Intelligence Platform Market by Organization Size, Outlook and Trends

Chapter 8. Digital Intelligence Platform Market by Overview and End-Use Trends

Chapter 9. Regional Outlook of Digital Intelligence Platform Market

Chapter 10. Competitive Landscape
10.1. Market revenue share by manufacturers
10.2. Manufacturing Cost Allocation Analysis
10.3. Mergers and Acquisitions
10.4. Market positioning
10.5. Strategy Benchmarking
10.6. Supplier Landscape

Chapter 11. Business Profiles
11.1. Adobe
11.1.1. Company presentation
11.1.2. Financial performance
11.1.3. Technology overview
11.1.4. Strategic initiatives
11.2. IBM Corporation
11.2.1. Company presentation
11.2.2. Financial performance
11.2.3. Technology Overview
11.2.4. Strategic initiatives
11.3. SAS Institute Inc.
11.3.1. Company presentation
11.3.2. Financial performance
11.3.3. Technology overview
11.3.4. Strategic initiatives
11.4. Salesforce.com Inc.
11.4.1. Company presentation
11.4.2. Financial performance
11.4.3. Technology Overview
11.4.4. Strategic initiatives
11.5. Google LLC
11.5.1. Company presentation
11.5.2. Financial performance
11.5.3. Technology Overview
11.5.4. Strategic initiatives
11.6. Mixed panel
11.6.1. Company presentation
11.6.2. Financial performance
11.6.3. Technology Overview
11.6.4. Strategic initiatives
11.7. Optimizely, Inc.
11.7.1. Company presentation
11.7.2. Financial performance
11.7.3. Technology overview
11.7.4. Strategic initiatives
11.8. Mapp Digital US, LLC
11.8.1. Company presentation
11.8.2. Financial performance
11.8.3. Technology overview
11.8.4. Strategic initiatives
11.9. New Relic, Inc.
11.9.1. Company presentation
11.9.2. Financial performance
11.9.3. Technology Overview
11.9.4. Strategic initiatives
11.10. Cxense
11.10.1. Company presentation
11.10.2. Financial performance
11.10.3. Technology Overview
11.10.4. Strategic initiatives

For more information on this report, visit https://www.researchandmarkets.com/r/ohomde


        
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