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Global Immersive Analytics Market to reach USD 22274.16 million by the end of 2030

Global Immersive Analytics Market Size study & Forecast, by Offering (Hardware, Solution, Services) by Application (Education and Training, Sales and Marketing, Design and Visualization, Strategy Planning, Others) by End User (Healthcare, Media, and Entertainment, Automotive and Transportation, Government and Defense, Others) and Regional Analysis, 2023-2030

Product Code: ICTICTS-13707631
Publish Date: 29-02-2024
Page: 200

Global Immersive Analytics Market is valued approximately at USD 790 million in 2022 and is anticipated to grow with a healthy growth rate of more than 51.8% over the forecast period 2023-2030. Immersive Analytics refers to an approach in data analysis and visualization that aims to enhance the user’s understanding and interaction with data by creating immersive and engaging experiences. The term combines elements of data analytics with immersive technologies such as virtual reality (VR), augmented reality (AR), and mixed reality (MR). The goal is to provide a more intuitive and immersive environment for exploring and interpreting complex datasets. The Immersive Analytics market is expanding because of factors such as rising demand for data visualization tools and growing demand of head-mounted displays for 3D data visualization. As a result, the demand of Immersive Analytics has progressively increased in the international market during the forecast period 2023-2030.

Data visualization tools help users comprehend complex datasets by representing information graphically. Immersive analytics take this a step further by providing a more interactive and immersive experience, allowing users to explore and understand data in a spatial context. This enhances the overall understanding of data patterns, relationships, and trends. According to the Statista, the Data visualization market accounts USD 7.76 in 2023. Furthermore, in 2023, Morningstar Advisor Workstation was the most used data analytics software globally. Another important factor driving the Immersive Analytics market is increasing demand of head-mounted displays for 3D data visualization. Head-mounted displays provide an immersive and three-dimensional visual experience. This heightened level of immersion enhances the user’s experience when interacting with 3D visualizations, making the data more engaging and easier to understand. In addition, as per Statista, consumer virtual reality helmet mounted display (HMD) device shipment accounts approximately 17 million units globally in 2021. The yearly global exports of VR HMD devices are predicted to drastically rise over the next few years, reaching 59.7 million by 2025. Moreover, growing demand for IoT connected devices and rising adoption of immersive analytics to provide personalized customer experience is anticipated to create a lucrative growth opportunity for the market over the forecast period. However, high cost associated to immersive analytics and technical complexities is going to impede overall market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Immersive Analytics Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. Asia Pacific dominated the market in 2022 with largest market share owing to the rising rate of industrialization and expanding digitalization in the region. Immersive Analytics leverages technologies such as virtual reality (VR) and augmented reality (AR) to create immersive visualizations. This enables industrial and digitalized sectors to present data in more engaging and understandable formats, facilitating better decision-making and analysis. The region’s dominant performance is anticipated to propel the overall demand of Immersive Analytics. Furthermore, Asia Pacific is expected to grow at the fastest CAGR during the forecast period, owing to factors such as expansion of VR and AR technologies in the region. VR and AR technologies provide advanced visualization capabilities, allowing users to explore and interact with data in three-dimensional spaces. This enhanced visualization can make data patterns and insights more apparent, leading to better understanding and decision-making.

Major market player included in this report are:

Microsoft Corporation
Salesforce.com, Inc
International Business Machines Corporation
QlikTech International AB
Siemens AG
NVIDIA Corporation
Unity Technologies, Inc.
Google LLC
TIBCO Software Inc

Recent Developments in the Market:
Ø In June 2023, Wipro has introduced the Wipro Industry Innovation Experience for Financial Services, which offers a suite of banking and financial services products built on the Microsoft Cloud platform. The virtual Innovation Experience aims to assist financial services businesses in discovering new ideas and accelerating their digital transformation journey. According to the company, the agreement combines Microsoft Cloud capabilities with Wipro FullStride Cloud.

Global Immersive Analytics Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Offering, Application, End User, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

by Offering

by Application
Education and Training
Sales and Marketing
Design and Visualization
Strategy Planning

by End User
Media and Entertainment
Automotive and Transportation
Government and Defense

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Million)
1.2.1. Immersive Analytics Market, by region, 2020-2030 (USD Million)
1.2.2. Immersive Analytics Market, by Offering, 2020-2030 (USD Million)
1.2.3. Immersive Analytics Market, by Application, 2020-2030 (USD Million)
1.2.4. Immersive Analytics Market, by End User, 2020-2030 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Immersive Analytics Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Immersive Analytics Market Dynamics
3.1. Immersive Analytics Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rising demand for data visualization tools Growing demand of head-mounted displays for 3D data visualization
3.1.2. Market Challenges High cost associated with immersive analytics Technical complexities
3.1.3. Market Opportunities Growing demand for IoT connected devices Rising adoption of immersive analytics to provide personalized customer experience
Chapter 4. Global Immersive Analytics Market: Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economic
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Immersive Analytics Market, by Offering
5.1. Market Snapshot
5.2. Global Immersive Analytics Market by Offering, Performance – Potential Analysis
5.3. Global Immersive Analytics Market Estimates & Forecasts by Offering 2020-2030 (USD Million)
5.4. Immersive Analytics Market, Sub Segment Analysis
5.4.1. Hardware
5.4.2. Solution
5.4.3. Services
Chapter 6. Global Immersive Analytics Market, by Application
6.1. Market Snapshot
6.2. Global Immersive Analytics Market by Application, Performance – Potential Analysis
6.3. Global Immersive Analytics Market Estimates & Forecasts by Application 2020-2030 (USD Million)
6.4. Immersive Analytics Market, Sub Segment Analysis
6.4.1. Education and Training
6.4.2. Sales and Marketing
6.4.3. Design and Visualization
6.4.4. Strategy Planning
6.4.5. Others
Chapter 7. Global Immersive Analytics Market, by End User
7.1. Market Snapshot
7.2. Global Immersive Analytics Market by End User, Performance – Potential Analysis
7.3. Global Immersive Analytics Market Estimates & Forecasts by End User 2020-2030 (USD Million)
7.4. Immersive Analytics Market, Sub Segment Analysis
7.4.1. Healthcare
7.4.2. Media and Entertainment
7.4.3. Automotive and Transportation
7.4.4. Government and Defense
7.4.5. Others
Chapter 8. Global Immersive Analytics Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Immersive Analytics Market, Regional Market Snapshot
8.4. North America Immersive Analytics Market
8.4.1. U.S. Immersive Analytics Market Offering breakdown estimates & forecasts, 2020-2030 Application breakdown estimates & forecasts, 2020-2030 End User breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Immersive Analytics Market
8.5. Europe Immersive Analytics Market Snapshot
8.5.1. U.K. Immersive Analytics Market
8.5.2. Germany Immersive Analytics Market
8.5.3. France Immersive Analytics Market
8.5.4. Spain Immersive Analytics Market
8.5.5. Italy Immersive Analytics Market
8.5.6. Rest of Europe Immersive Analytics Market
8.6. Asia-Pacific Immersive Analytics Market Snapshot
8.6.1. China Immersive Analytics Market
8.6.2. India Immersive Analytics Market
8.6.3. Japan Immersive Analytics Market
8.6.4. Australia Immersive Analytics Market
8.6.5. South Korea Immersive Analytics Market
8.6.6. Rest of Asia Pacific Immersive Analytics Market
8.7. Latin America Immersive Analytics Market Snapshot
8.7.1. Brazil Immersive Analytics Market
8.7.2. Mexico Immersive Analytics Market
8.8. Middle East & Africa Immersive Analytics Market
8.8.1. Saudi Arabia Immersive Analytics Market
8.8.2. South Africa Immersive Analytics Market
8.8.3. Rest of Middle East & Africa Immersive Analytics Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Microsoft Corporation Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Salesforce.com, Inc
9.3.3. SAP SE
9.3.4. International Business Machines Corporation
9.3.5. QlikTech International AB
9.3.6. Siemens AG
9.3.7. NVIDIA Corporation
9.3.8. Unity Technologies, Inc.
9.3.9. Google LLC
9.3.10. TIBCO Software Inc.
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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