Data Analytics – Strategic Intelligence

Data Analytics Strategic Report Overview

Human activity generates vast amounts of data, from database information about citizens to user-generated content on social media platforms and sensor data generated by smartphones and industrial machinery. Data analytics tools will be increasingly necessary to convert these large amounts of complex raw data into valuable insights and actionable knowledge. Data analytics is a relatively mature market, but significant innovation has occurred in the field recently. Prescriptive analytics is the most advanced innovation, aiming to tell organizations what to do next rather than just describing what happened and why.

The data analytics thematic intelligence report gives you an in-depth insight into the value chain. It further entails a deep-dive analysis of the industry, including key market trends that will shape the theme over the coming years. The report gives an insight into the market players and the competitive landscape within the theme.

Data Analytics – Key Trends

The main trends that will shape the data analytics theme over the next 12 to 24 months are classified into technology, macroeconomic, and regulatory trends.

• Technology trends: The key technology trends impacting the data analytics theme are the Internet of Things (IoT), cloud, artificial intelligence (AI), edge analytics, low-code and no-code (LCNC), and others.
• Macroeconomic trends: The contribution of skilled workers, including data scientists, data engineers, and other data specialists, along with ESG are points to be considered for macroeconomic trends.
• Regulatory trends: AI regulation, security, data privacy, and technology protectionism are the key regulatory trends impacting the data analytics theme.

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Data Analytics Value Chain Analysis

The data analytics value chain is split into four segments which are hardware, data management, applications, and delivery.

Hardware: It can be further categorized into semiconductors, cameras, sensors and lasers, servers, storage devices, networking equipment, and edge equipment. The data analytics hardware stack is not too dissimilar from any IT system. As such, servers, storage, and networking equipment are standard and not designed specifically for data analytics use cases. However, as AI capabilities are embedded in various applications, using AI-optimized hardware components, such as semiconductors, for specific analytics workloads will become more frequent.

Data Analytics Value Chain Analysis

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Data Analytics – Competitive Landscape

A few of the key companies that will make their mark within the data analytics theme are as follows:

Public companies: A few of the leading listed players associated with this theme are Alibaba, Alphabet (parent company of Google), and Amazon, among others.

Private companies: A few of the interesting private companies associated with this theme are Alteryx, Databricks, and H2O.ai, among others.

Key Companies in Data Analytics Theme

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Application Software Sector Scorecard

At GlobalData, we use a scorecard approach to predict the likely leaders and laggards in a sector over the next five years. Our sector scorecards have four screens: a company screen, a thematic screen, a valuation screen, and a risk screen.

• The thematic screen ranks companies based on overall leadership in the 10 themes that matter most to their industry, generating a leading indicator of future performance.
• The valuation screen ranks our universe of companies within a sector based on selected valuation metrics.
• The risk screen ranks companies within a particular sector based on overall investment risk.

Application Software Sector Scorecard – Thematic Screen

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The report also includes:

• Cloud services sector scorecard
• IT infrastructure sector scorecard

Scope

• This report provides an overview of the data analytics theme.
• It identifies the key trends impacting the growth of the theme over the next 12 to 24 months, split into three categories: technology trends, macroeconomic trends, and regulatory trends.
• It includes a comprehensive industry analysis, including market size and growth forecasts for the global data and analytics market, alongside analysis of trends in GlobalData’s proprietary signals data, including M&As, venture financing, patents, company filings, and hiring.
• The detailed value chain is split into four segments: hardware, data management, applications, and delivery.
• Also included are profiles of leading players in the data analytics theme, including Alphabet, Amazon, IBM, Microsoft, Oracle, Salesforce, and Snowflake.

Key Highlights

• Data analytics is a relatively mature market, yet significant innovation has occurred in recent years. Prescriptive analytics is the most advanced innovation, aiming to tell organizations what to do next rather than just describing what happened and why.
• Machine learning (ML) techniques can now provide data-driven recommendations by parsing large amounts of data and assessing “what if” scenarios.
• Traditional data analytics vendors such as SAS, IBM, Oracle, and SAP are being disrupted by AI-native vendors, such as Cognitive Scale and H2O.ai, which aim to help companies automate operational decision-making using ML.
• The emergence of generative artificial intelligence (AI) tools has led data analytics vendors to embed those solutions in their platforms, democratizing access to data science capabilities. For instance, Microsoft has launched Copilot, embedding ChatGPT into analytics products such as Excel and PowerBI.
• The ability of generative AI to create highly sophisticated models and simulations from vast datasets raises significant concerns about the potential misuse of personal information. The risk of exposing sensitive data increases as these AI systems become more adept at generating detailed, realistic outputs. This calls for stringent data governance frameworks.

Reasons to Buy

Data analytics help us go from raw data to useful insights and actionable knowledge. This report is an invaluable guide to a theme that is relevant to every company in every industry.