The global visual analytics market, which is valued at US$ 8,457.6 million in 2023, is forecast to expand at a CAGR of 21.4% from 2023 to 2033, and is expected to be valued at US$ 58,969.8 million by 2033.
Large end users have dominated the global digital economy, with significant investments in AA tools and infrastructure. However, the visual analytics sector is expected to curb due to a lack of integration with legacy systems.
In contrast, it is anticipated that the storing and handling of data from various connected transportation devices, used across transportation and logistics businesses, are rapidly increasing. This is likely to create lucrative opportunities for the market.
The frequency of data analysis, easier data exploration, and increased depth are exciting to surge the demand for visual analytics. Furthermore, proper analytics software is required to present data generated for the IT team to perceive the demands of device users, network management, health and remote monitoring.
Visual analytics are used to present raw and unstructured data in a proper format to effectively elicit actionable insight. In addition to this, enterprises gain insight into complex problems and leverage new age technology, which is likely to expand the market size.
The leading visual analytics share was held by the banking, financial services, and insurance (BFSI) industry in 2017. This was attributed to the growing need to simplify the workload related to security, and the increasing dependence on data generated from various IT systems for financial transactions.
Attribute | Details |
---|---|
Visual Analytics Market CAGR (2023 to 2033) | 21.4% |
Visual Analytics Market Size (2023) | US$ 8,457.6 million |
Visual Analytics Market Size (2033) | US$ 58,969.8 million |
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Particulars | Details |
---|---|
Market Size (2018) | US$ 3,479.4 million |
Market Size (2022) | US$ 7,059.8 million |
Market CAGR (2023 to 2033) | 19.3% |
Market Growth Rate (2022 to 2023) | 1.19x |
Actionable insights and formulation of strategies under the sales and marketing segment significantly improve, through the deployment of visual analytics. Additionally, various industry verticals integrate the deployment of visual analytics due to a paradigm shift in business approaches. This is expected to increase the demand for visual analytics.
Visual analytics have grown in popularity as a practical method for obtaining information from enormous data sets to avoid difficulties in processing and effectively using big data. This is expected to promote market growth.
Growing demand for Advanced Analytics (AA) is a significant factor expected to expand the market share. Moreover, the global visual analytics industry is likely to experience growth owing to big data and predictive analytics.
The field of logistics and supply chain is predicted to increase investments for information technology to improve data quality, which is anticipated to surge market demands. Utilizing visualization tools like charts, graphs, pivot table widgets, etc. to generate dashboards and reports, therefore driving the adoption of visual analytics.
Businesses are investing and deploying visual analytics to increase productivity, empower employees, and have benefits. Furthermore, visual analytics assist in understanding data in simple terms.
Imperfections in the visual analytics tools produce errors, which is likely to hamper the market growth. Lack of trained personnel to work on advanced business intelligence tools further creates challenges for the market.
Improper design issues leading to confusions in communication are anticipated to obstruct the visual analytics deployment. Data inconsistency causing errors, along with lack of proper governance, are expected to create a challenging environment for the visual analytics environment.
The rising adoption of cloud technology surges the cloud deployment model to be used in visual analytics, which is expected to contribute to the market growth. Furthermore, the IT and telecom segments are expected to accumulate rapid revenue growth to predict future technology requirements and spot underutilized systems and applications.
Organizations in the IT segment further witness a significant adoption of visual analytics, by strategically establishing their goals to enhance the customer experience by streamlining their business processes. Additionally, allowing more fluid deployment of the insights and changes, and strengthening the communication across all levels of the organizations, are generated by visual analytics.
Countries | Market Share (2022) |
---|---|
United States | 14.1% |
Germany | 8.9% |
Japan | 5.1% |
Australia | 3.8% |
North America has a leading visual analytics market share, with a revenue of 22.8% in 2022. This is owing to the booming IT industry in this region and their new innovative strategies.
Robust visual analytics, making data accuracy the central focus, is expected to accelerate the market size. Furthermore, the emergence of cloud, IoT, and big data is further expected to present significant growth in the market in this region. Additionally, a robust growth of Logistics and Supply Chain management in the region is further expected to drive the market.
With a revenue of 17.2% in 2022, Europe holds the second position in the market. The rising IT infrastructure in various countries of this region is expected to promote global market growth.
Research and development activities to surge technological developments are likely to surge visual analytics deployment in this region. Furthermore, the presence of a large number of companies using business intelligence technology to improve business productivity benefits from visual analytics.
Countries | Market CAGR (2023 to 2033) |
---|---|
China | 23.3% |
India | 25.4% |
The Asia Pacific market is significantly growing due to the surging demand and challenges from global as well as local markets. Hence, the emergence of key market players is expected to expand the market size.
The implementation of visual analytics is done through rising investments in research and development activities in this region. Likewise, countries like Japan, China, and Singapore are heavily investing in technology, along with the presence of different manufacturing industries, which is anticipated to boost the global market growth.
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How is the Start-up Ecosystem in the Visual Analytics Business?
The increasing need for data-driven decision making is accelerating the market in visual analytics. The degree of control over systems and data is a prime advantage of on-premise based solutions, therefore surging the demand for visual analytics.
Start-up companies are recognizing these features to incorporate them with new and exciting trends. Through the advent of technology, and efforts by start-up companies, organizations are able to improve their data-driven decisions. Certain start-up companies are implementing such strategies.
Visual Analytics Service Providers are Focusing on New Softwares for High Profit Margins
The global visual analytics market size is saturated with large and medium-sized companies that are using ideas and innovations from research and development activities to improve the features of visual analytics. Moreover, to introduce more effective visual analytics products, market players are adopting various strategies entering into mergers and acquisitions, strategic agreements and contracts, developing and testing.
Through 2033, virtual analytics demand will rise at a 21.4% CAGR.
In 2023, the market will be valued at US$ 8,457.6 million.
North America accounted for 22.8% revenue in 2022.
China is expected to rise at a 23.3% CAGR through 2033.
Qlik, Tableu, and SAS Institute are some key market players.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Type
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Type, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Type, 2023 to 2033
5.3.1. Cloud
5.3.2. On-Premises
5.4. Y-o-Y Growth Trend Analysis By Type, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Type, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End User
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By End User, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User, 2023 to 2033
6.3.1. BFSI
6.3.2. Healthcare
6.3.3. IT & Telecom
6.3.4. Retail & Consumer Goods
6.3.5. Education
6.4. Y-o-Y Growth Trend Analysis By End User, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By End User, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
7.1. Introduction
7.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
7.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
7.3.1. North America
7.3.2. Latin America
7.3.3. Western Europe
7.3.4. Eastern Europe
7.3.5. South Asia and Pacific
7.3.6. East Asia
7.3.7. Middle East and Africa
7.4. Market Attractiveness Analysis By Region
8. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
8.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
8.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
8.2.1. By Country
8.2.1.1. The USA
8.2.1.2. Canada
8.2.2. By Type
8.2.3. By End User
8.3. Market Attractiveness Analysis
8.3.1. By Country
8.3.2. By Type
8.3.3. By End User
8.4. Key Takeaways
9. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. Brazil
9.2.1.2. Mexico
9.2.1.3. Rest of Latin America
9.2.2. By Type
9.2.3. By End User
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Type
9.3.3. By End User
9.4. Key Takeaways
10. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. Germany
10.2.1.2. United Kingdom
10.2.1.3. France
10.2.1.4. Spain
10.2.1.5. Italy
10.2.1.6. Rest of Western Europe
10.2.2. By Type
10.2.3. By End User
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Type
10.3.3. By End User
10.4. Key Takeaways
11. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Poland
11.2.1.2. Russia
11.2.1.3. Czech Republic
11.2.1.4. Romania
11.2.1.5. Rest of Eastern Europe
11.2.2. By Type
11.2.3. By End User
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Type
11.3.3. By End User
11.4. Key Takeaways
12. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. India
12.2.1.2. Bangladesh
12.2.1.3. Australia
12.2.1.4. New Zealand
12.2.1.5. Rest of South Asia and Pacific
12.2.2. By Type
12.2.3. By End User
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Type
12.3.3. By End User
12.4. Key Takeaways
13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. China
13.2.1.2. Japan
13.2.1.3. South Korea
13.2.2. By Type
13.2.3. By End User
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Type
13.3.3. By End User
13.4. Key Takeaways
14. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. GCC Countries
14.2.1.2. South Africa
14.2.1.3. Israel
14.2.1.4. Rest of MEA
14.2.2. By Type
14.2.3. By End User
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Type
14.3.3. By End User
14.4. Key Takeaways
15. Key Countries Market Analysis
15.1. USA
15.1.1. Pricing Analysis
15.1.2. Market Share Analysis, 2022
15.1.2.1. By Type
15.1.2.2. By End User
15.2. Canada
15.2.1. Pricing Analysis
15.2.2. Market Share Analysis, 2022
15.2.2.1. By Type
15.2.2.2. By End User
15.3. Brazil
15.3.1. Pricing Analysis
15.3.2. Market Share Analysis, 2022
15.3.2.1. By Type
15.3.2.2. By End User
15.4. Mexico
15.4.1. Pricing Analysis
15.4.2. Market Share Analysis, 2022
15.4.2.1. By Type
15.4.2.2. By End User
15.5. Germany
15.5.1. Pricing Analysis
15.5.2. Market Share Analysis, 2022
15.5.2.1. By Type
15.5.2.2. By End User
15.6. United Kingdom
15.6.1. Pricing Analysis
15.6.2. Market Share Analysis, 2022
15.6.2.1. By Type
15.6.2.2. By End User
15.7. France
15.7.1. Pricing Analysis
15.7.2. Market Share Analysis, 2022
15.7.2.1. By Type
15.7.2.2. By End User
15.8. Spain
15.8.1. Pricing Analysis
15.8.2. Market Share Analysis, 2022
15.8.2.1. By Type
15.8.2.2. By End User
15.9. Italy
15.9.1. Pricing Analysis
15.9.2. Market Share Analysis, 2022
15.9.2.1. By Type
15.9.2.2. By End User
15.10. Poland
15.10.1. Pricing Analysis
15.10.2. Market Share Analysis, 2022
15.10.2.1. By Type
15.10.2.2. By End User
15.11. Russia
15.11.1. Pricing Analysis
15.11.2. Market Share Analysis, 2022
15.11.2.1. By Type
15.11.2.2. By End User
15.12. Czech Republic
15.12.1. Pricing Analysis
15.12.2. Market Share Analysis, 2022
15.12.2.1. By Type
15.12.2.2. By End User
15.13. Romania
15.13.1. Pricing Analysis
15.13.2. Market Share Analysis, 2022
15.13.2.1. By Type
15.13.2.2. By End User
15.14. India
15.14.1. Pricing Analysis
15.14.2. Market Share Analysis, 2022
15.14.2.1. By Type
15.14.2.2. By End User
15.15. Bangladesh
15.15.1. Pricing Analysis
15.15.2. Market Share Analysis, 2022
15.15.2.1. By Type
15.15.2.2. By End User
15.16. Australia
15.16.1. Pricing Analysis
15.16.2. Market Share Analysis, 2022
15.16.2.1. By Type
15.16.2.2. By End User
15.17. New Zealand
15.17.1. Pricing Analysis
15.17.2. Market Share Analysis, 2022
15.17.2.1. By Type
15.17.2.2. By End User
15.18. China
15.18.1. Pricing Analysis
15.18.2. Market Share Analysis, 2022
15.18.2.1. By Type
15.18.2.2. By End User
15.19. Japan
15.19.1. Pricing Analysis
15.19.2. Market Share Analysis, 2022
15.19.2.1. By Type
15.19.2.2. By End User
15.20. South Korea
15.20.1. Pricing Analysis
15.20.2. Market Share Analysis, 2022
15.20.2.1. By Type
15.20.2.2. By End User
15.21. GCC Countries
15.21.1. Pricing Analysis
15.21.2. Market Share Analysis, 2022
15.21.2.1. By Type
15.21.2.2. By End User
15.22. South Africa
15.22.1. Pricing Analysis
15.22.2. Market Share Analysis, 2022
15.22.2.1. By Type
15.22.2.2. By End User
15.23. Israel
15.23.1. Pricing Analysis
15.23.2. Market Share Analysis, 2022
15.23.2.1. By Type
15.23.2.2. By End User
16. Market Structure Analysis
16.1. Competition Dashboard
16.2. Competition Benchmarking
16.3. Market Share Analysis of Top Players
16.3.1. By Regional
16.3.2. By Type
16.3.3. By End User
17. Competition Analysis
17.1. Competition Deep Dive
17.1.1. Qlik
17.1.1.1. Overview
17.1.1.2. Product Portfolio
17.1.1.3. Profitability by Market Segments
17.1.1.4. Sales Footprint
17.1.1.5. Strategy Overview
17.1.1.5.1. Marketing Strategy
17.1.2. Tableau
17.1.2.1. Overview
17.1.2.2. Product Portfolio
17.1.2.3. Profitability by Market Segments
17.1.2.4. Sales Footprint
17.1.2.5. Strategy Overview
17.1.2.5.1. Marketing Strategy
17.1.3. SAS Institute
17.1.3.1. Overview
17.1.3.2. Product Portfolio
17.1.3.3. Profitability by Market Segments
17.1.3.4. Sales Footprint
17.1.3.5. Strategy Overview
17.1.3.5.1. Marketing Strategy
17.1.4. I-Net software
17.1.4.1. Overview
17.1.4.2. Product Portfolio
17.1.4.3. Profitability by Market Segments
17.1.4.4. Sales Footprint
17.1.4.5. Strategy Overview
17.1.4.5.1. Marketing Strategy
17.1.5. IBM
17.1.5.1. Overview
17.1.5.2. Product Portfolio
17.1.5.3. Profitability by Market Segments
17.1.5.4. Sales Footprint
17.1.5.5. Strategy Overview
17.1.5.5.1. Marketing Strategy
17.1.6. Oracle
17.1.6.1. Overview
17.1.6.2. Product Portfolio
17.1.6.3. Profitability by Market Segments
17.1.6.4. Sales Footprint
17.1.6.5. Strategy Overview
17.1.6.5.1. Marketing Strategy
17.1.7. SAP SE
17.1.7.1. Overview
17.1.7.2. Product Portfolio
17.1.7.3. Profitability by Market Segments
17.1.7.4. Sales Footprint
17.1.7.5. Strategy Overview
17.1.7.5.1. Marketing Strategy
17.1.8. Zoomdata
17.1.8.1. Overview
17.1.8.2. Product Portfolio
17.1.8.3. Profitability by Market Segments
17.1.8.4. Sales Footprint
17.1.8.5. Strategy Overview
17.1.8.5.1. Marketing Strategy
17.1.9. Microsoft Corporation
17.1.9.1. Overview
17.1.9.2. Product Portfolio
17.1.9.3. Profitability by Market Segments
17.1.9.4. Sales Footprint
17.1.9.5. Strategy Overview
17.1.9.5.1. Marketing Strategy
17.1.10. MicroStrategy
17.1.10.1. Overview
17.1.10.2. Product Portfolio
17.1.10.3. Profitability by Market Segments
17.1.10.4. Sales Footprint
17.1.10.5. Strategy Overview
17.1.10.5.1. Marketing Strategy
17.1.11. TIBCO Software
17.1.11.1. Overview
17.1.11.2. Product Portfolio
17.1.11.3. Profitability by Market Segments
17.1.11.4. Sales Footprint
17.1.11.5. Strategy Overview
17.1.11.5.1. Marketing Strategy
17.1.12. Alteryx
17.1.12.1. Overview
17.1.12.2. Product Portfolio
17.1.12.3. Profitability by Market Segments
17.1.12.4. Sales Footprint
17.1.12.5. Strategy Overview
17.1.12.5.1. Marketing Strategy
17.1.13. Verint Systems
17.1.13.1. Overview
17.1.13.2. Product Portfolio
17.1.13.3. Profitability by Market Segments
17.1.13.4. Sales Footprint
17.1.13.5. Strategy Overview
17.1.13.5.1. Marketing Strategy
17.1.14. NICE
17.1.14.1. Overview
17.1.14.2. Product Portfolio
17.1.14.3. Profitability by Market Segments
17.1.14.4. Sales Footprint
17.1.14.5. Strategy Overview
17.1.14.5.1. Marketing Strategy
17.1.15. Avaya
17.1.15.1. Overview
17.1.15.2. Product Portfolio
17.1.15.3. Profitability by Market Segments
17.1.15.4. Sales Footprint
17.1.15.5. Strategy Overview
17.1.15.5.1. Marketing Strategy
17.1.16. ADVIZOR Solutions Pvt. Ltd.
17.1.16.1. Overview
17.1.16.2. Product Portfolio
17.1.16.3. Profitability by Market Segments
17.1.16.4. Sales Footprint
17.1.16.5. Strategy Overview
17.1.16.5.1. Marketing Strategy
17.1.17. LLC
17.1.17.1. Overview
17.1.17.2. Product Portfolio
17.1.17.3. Profitability by Market Segments
17.1.17.4. Sales Footprint
17.1.17.5. Strategy Overview
17.1.17.5.1. Marketing Strategy
17.1.18. Wilson Visual Analytics
17.1.18.1. Overview
17.1.18.2. Product Portfolio
17.1.18.3. Profitability by Market Segments
17.1.18.4. Sales Footprint
17.1.18.5. Strategy Overview
17.1.18.5.1. Marketing Strategy
17.1.19. Chi Squared Visual Analytics
17.1.19.1. Overview
17.1.19.2. Product Portfolio
17.1.19.3. Profitability by Market Segments
17.1.19.4. Sales Footprint
17.1.19.5. Strategy Overview
17.1.19.5.1. Marketing Strategy
17.1.20. Host Analytics Inc.
17.1.20.1. Overview
17.1.20.2. Product Portfolio
17.1.20.3. Profitability by Market Segments
17.1.20.4. Sales Footprint
17.1.20.5. Strategy Overview
17.1.20.5.1. Marketing Strategy
18. Assumptions & Acronyms Used
19. Research Methodology
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