USD 39.41 billion
Report ID:
SQMIG45A2112 |
Region:
Global |
Published Date: August, 2024
Pages:
157
|Tables:
121
|Figures:
72
Data Analytics Market size was valued at USD 44.30 Billion in 2022 and is poised to grow from USD 56.22 Billion in 2023 to USD 378.05 Billion by 2031, growing at a CAGR of 26.90% during the forecast period (2024-2031).
Data analysis refers to the analysis of data structures to find useful information for solving problems in various industries. It combines computer programming, mathematics and statistics to analyze precise data. Growing demand for big data and predictive analytics is driving the growth of the data analytics market. Market leaders continue to focus on developing scalable data sharing, data fabrics and artificial intelligence (AI) systems to drive new growth, transformation and innovation. According to a survey conducted by American experience management company, Qualtrics and ServiceNow, almost 83% of consumers prefer to touch products with good digital experiences, and 70% of consumers trust products that offer great digital experiences.
Global Market Size
USD 39.41 billion
Largest Segment
Prescriptive
Fastest Growth
Prescriptive
Growth Rate
30.4% CAGR
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The Global Data Analytics Market is segmented based on Type, Solution, Application and Region. By Type, the market is segmented into Prescriptive, Predictive, Customer, Descriptive, Others. By Solution, the market is segmented into Security Intelligence, Data Management, Data Monitoring, Data Mining. By Application, the market is segmented into Supply Chain Management, Enterprise Resource Planning, Database Management, Human Resource Management, Others. By Region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Analysis by Type
Predictive analytics segment is dominating the market. In recent years, predictive analytics has become crucial for organizations to understand the amount of data. The main trend in predictive analytics is AI and machine learning (ML) widely used. With the growth of this technology, organizations are recognizing the potential for more accurate predictive models.
The real-time analytics segment is expected to witness the highest CAGR growth during the forecast period. Using real-time data analytics, companies can monitor trends and measure progress toward goals. They can access data remotely, track purchases, distribute resources, and enhance network security. According to a November 2022 global survey by industry experts, a key area for investment in advanced analytics is robust event management, for which 52% of companies have already allocated resources.
Analysis by Solution
In 2023, the data mining segment dominated the market. The main trend in this area is the adoption of automation and artificial intelligence to make the data mining process easier and faster. Automated tools can handle tasks such as data preparation, feature engineering, model selection and evaluation without human intervention.
The security intelligence segment is expected to exhibit the highest CAGR during the forecast period in the data analytics market. The transition to comprehensive threat intelligence programs (TIPs) is expected to significantly impact the future of cybersecurity.
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North America dominated the market with a revenue share of 34.7% in 2023. The region is home to leading companies from all industries, and heavy users of software e.g., Facebook, Twitter and Instagram collect profile users about their preferences through data analytics. The availability of infrastructure supporting data analytics and increasing use of advanced technologies such as AI and machine learning are driving the market growth in North America.
The Asia-Pacific region is the fastest growing segment during the forecast period. The adoption of social media platforms, internet and smartphones, the growth in communication technologies and digitization are both expected to increase the data analytics market share. Many Asian countries, including China and Japan, apply features of data-intensive AI and ML technologies in various industries into the market, leading to increased usage of data analytics. The increased usage of data analytics tools and solutions will also boost market growth.
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Drivers
Increasing Volume of Data
Technological Advances
Restraints
Data Privacy Concerns
High Cost
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Global Data Analytics Market is defined by high competition between the leading players and emerging players in the market. Some of the giants in the market include IBM, Microsoft, and Google, who use their large cloud services and robust AI to develop comprehensive analytics solutions. Some of these firms are still competing in scale, integration, and new analytics powered by artificial intelligence. New entrants are gradually building market momentum because they are offering products and services that incorporate state-of-the-art technologies and interfaces that focus on real time analysis and simplicity. Also, there are some niche players including Cloudera and Splunk that have a narrower focus and serve specific sectors like cybersecurity and financial services, respectively.
Top Player’s Company Profiles
Recent Developments
Integrating Artificial Intelligence (AI) and Machine Learning (ML)
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyzes the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
According to SkyQuest analysis, the market is rapidly expanding, particularly due to the increasing adoption of technologies that create large volumes of data across a wide range of industries. Advanced analytics is being used by businesses to gain insights, make better decisions and stay ahead in the market. Some of the main sectors that are implementing big data include finance, healthcare, retail and manufacturing sectors; the use of analytics in the mentioned industries is to improve efficiency, predict consumer behaviors and preferences, and enhance the customer experience. The leading companies include international giants like IBM, Microsoft, Oracle, and others that develop and introduce ever more complex and integrated systems. The increased usage of big data analytics, AI and machine learning is significantly driving the growth of the market. Some of the challenges include data privacy concerns and the lack of skilled professionals, however, the overall outlook remains encouraging with prospects of further growth based on technological advancements and growing emphasis on big data management strategies.
Report Metric | Details |
---|---|
Market size value in 2022 | USD 44.30 Billion |
Market size value in 2031 | USD 378.05 Billion |
Growth Rate | 26.90% |
Base year | 2023 |
Forecast period | 2024-2031 |
Forecast Unit (Value) | USD Billion |
Segments covered |
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Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
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Customization scope | Free report customization with purchase. Customization includes:-
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Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
For the Data Analytics Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Data Analytics Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Data Analytics Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Data Analytics Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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Report ID: SQMIG45A2112
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