Global SaaS-based Business Analytics Market Growth, Share, Size, Trends and Forecast (2025 - 2031)
By Product;
Short-Range, Medium-Range, and Long-Range.By Technology;
Laser Triangulation and Structured light.By Type;
On-Site and Cloud.By Enterprise;
Large Enterprises and SMEsBy End-User;
Industrial manufacturing, Healthcare , Architecture and Engineering, Aerospace and Defense, and Others.By Geography;
North America, Europe, Asia Pacific, Middle East and Africa and Latin America - Report Timeline (2021 - 2031).Introduction
Global SaaS-based Business Analytics Market (USD Million), 2021 - 2031
In the year 2024, the Global SaaS-based Business Analytics Market was valued at USD 15,572.27 million. The size of this market is expected to increase to USD 38,451.42 million by the year 2031, while growing at a Compounded Annual Growth Rate (CAGR) of 13.8%.
In the era of big data and digital transformation, businesses across industries are increasingly relying on data-driven insights to make informed decisions and gain a competitive edge. Software as a Service (SaaS)-based business analytics solutions have emerged as a powerful tool for organizations to analyze vast amounts of data, derive actionable insights, and drive business growth. The Global SaaS-based Business Analytics Market encompasses a wide range of cloud-based analytical tools and platforms that enable businesses to harness the power of data without the need for extensive IT infrastructure or expertise.
The Global SaaS-based Business Analytics Market is witnessing rapid growth driven by several factors, including the exponential growth of data volumes, the need for real-time insights, and the rising demand for agile and scalable analytics solutions. These solutions offer organizations the flexibility to access advanced analytics capabilities on a subscription basis, eliminating the need for upfront capital investment and enabling faster time-to-value.
This market analysis explores the key drivers, restraints, opportunities, and trends shaping the Global SaaS-based Business Analytics Market. It examines the evolution of business intelligence (BI) and analytics, the impact of emerging technologies such as artificial intelligence (AI) and machine learning (ML), and the growing emphasis on data democratization and self-service analytics. It delves into market segmentation by solution type, deployment model, organization size, vertical, and region to provide comprehensive insights into the market landscape.
Key market drivers include the growing demand for data-driven decision-making, the proliferation of cloud computing and digital transformation initiatives, and the increasing need for analytics solutions that offer agility, scalability, and cost-effectiveness. The rise of remote work and distributed teams in the wake of the COVID-19 pandemic has further accelerated the adoption of SaaS-based business analytics solutions, enabling organizations to empower employees with data-driven insights regardless of their location.
The market faces certain challenges, including concerns about data privacy and security, integration complexities with existing IT systems, and the shortage of skilled data analysts and data scientists. The commoditization of analytics solutions and intensifying competition among vendors pose pricing pressures and margin challenges, impacting market growth and profitability.
The Global SaaS-based Business Analytics Market presents lucrative opportunities for vendors, service providers, and enterprises alike. Emerging trends such as augmented analytics, predictive analytics, and embedded analytics offer opportunities for innovation and differentiation. The growing adoption of cloud-native architectures, microservices, and containerization technologies presents opportunities for delivering scalable and flexible analytics solutions that meet the evolving needs of modern businesses.
The Global SaaS-based Business Analytics Market is poised for significant growth as organizations increasingly recognize the strategic importance of data analytics in driving business success. Strategic investments in R&D, partnerships, and customer-centric solutions, along with a focus on data privacy, security, and compliance, will be crucial for market players to capitalize on emerging opportunities and maintain a competitive edge in the rapidly evolving SaaS-based business analytics landscape.
Global SaaS-based Business Analytics Market Recent Developments
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In May 2023, Stibo Systems, a leading global provider of master data management software, joined Microsoft's Partner Program as an independent software exporter to create and host cloud,based Software as a Service on Microsoft Azure. Stibo Systems improved its cloud services with support and guidance from Microsoft. This integration will help customers improve short and long,term performance of their cloud investments and resources.
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In February 2023, Oracle, the world's largest cloud company, launched Banking Cloud Services, a new set of componentized and constructed banking services. Corporate and retail banks can now modernize their banking applications to meet customer demands with the help of Oracle’s cloud,based software as a service solution.
Segment Analysis
The Global SaaS-based Business Analytics Market has been segmented across various dimensions to cater to the diverse needs of businesses in different sectors. By Product, the market is divided into Short-Range, Medium-Range, and Long-Range categories, each designed to address specific business requirements. Short-Range analytics are typically suited for businesses that require quick insights and decision-making, such as in retail or small-scale operations. Medium-Range analytics are more flexible, providing solutions for businesses with moderate data needs, while Long-Range analytics are designed for large enterprises with expansive data sets and complex analytics needs, enabling them to conduct detailed, long-term forecasting and strategic planning.
The segmentation by Technology, including Laser Triangulation and Structured Light, highlights the technological advancements that power business analytics solutions. Laser Triangulation is often used in industries requiring precise measurements and high accuracy, such as manufacturing and aerospace. On the other hand, Structured Light technology is employed for more detailed 3D scanning and object recognition, which is valuable in sectors such as healthcare and engineering where detailed data visualization is key for decision-making. Both technologies are integral in enabling businesses to derive actionable insights from their data by providing highly accurate and comprehensive data points, fostering better business intelligence.
Further segmentation by Type – On-Site and Cloud – reflects the deployment models used by businesses. Cloud-based SaaS solutions are highly favored for their scalability, ease of access, and lower upfront costs, making them suitable for both Large Enterprises and SMEs. On-Site solutions, however, are typically chosen by organizations that require more control over their data or have specific compliance or security needs, common among Large Enterprises in regulated industries like Healthcare and Aerospace and Defense. These solutions cater to diverse End-Users such as Industrial Manufacturing, Healthcare, Architecture and Engineering, and Aerospace and Defense, with each sector relying on tailored analytics to optimize operations, improve operational efficiency, and foster data-driven decision-making across their supply chains and service offerings. As the market grows, SaaS-based business analytics solutions will continue to evolve, offering flexible, scalable, and secure solutions for businesses of all sizes and sectors.
Global SaaS-based Business Analytics Segment Analysis
In this report, the Global SaaS-based Business Analytics Market has been segmented by Product, Technology, Type, Enterprise, End-User and Geography.
Global SaaS-based Business Analytics Market, Segmentation by Product
The Global SaaS-based Business Analytics Market has been segmented by Product into Short-Range, Medium-Range and Long-Range.
Short-Range analytics solutions typically focus on providing insights into immediate or tactical business needs. These tools are designed to analyze data over short time frames, enabling organizations to address immediate challenges, make quick decisions, and respond promptly to changes in market conditions or operational inefficiencies. Short-Range analytics solutions are valued for their agility and ability to deliver actionable insights in real-time, supporting day-to-day business operations and decision-making processes.
Medium-Range analytics solutions offer a broader perspective by analyzing data over medium-term horizons, typically spanning weeks, months, or quarters. These solutions provide organizations with deeper insights into trends, patterns, and performance metrics over a defined time frame, facilitating strategic planning, forecasting, and performance tracking. Medium-Range analytics tools are instrumental in identifying emerging opportunities, predicting future trends, and optimizing resource allocation to drive long-term business growth and competitiveness.
Long-Range analytics solutions encompass the most comprehensive and strategic level of analysis, focusing on analyzing data over extended time horizons, often spanning years or decades. These solutions enable organizations to gain a holistic understanding of long-term trends, market dynamics, and business performance drivers, facilitating strategic decision-making, risk management, and scenario planning. Long-Range analytics tools are instrumental in shaping organizational strategy, guiding investments, and identifying opportunities for innovation and growth in an ever-evolving business landscape.
The segmentation of the Global SaaS-based Business Analytics Market based on product offerings into Short-Range, Medium-Range, and Long-Range analytics solutions reflects the diverse needs and priorities of organizations in leveraging data analytics to drive business outcomes. Each segment offers unique capabilities and insights tailored to address specific business challenges and opportunities, empowering organizations to make informed decisions and stay ahead in today's competitive marketplace.
Global SaaS-based Business Analytics Market, Segmentation by Technology
The Global SaaS-based Business Analytics Market has been segmented by Technology into Laser Triangulation and Structured light.
Short-Range analytics solutions typically focus on providing insights into immediate or tactical business needs. These tools are designed to analyze data over short time frames, enabling organizations to address immediate challenges, make quick decisions, and respond promptly to changes in market conditions or operational inefficiencies. Short-Range analytics solutions are valued for their agility and ability to deliver actionable insights in real-time, supporting day-to-day business operations and decision-making processes.
Medium-Range analytics solutions offer a broader perspective by analyzing data over medium-term horizons, typically spanning weeks, months, or quarters. These solutions provide organizations with deeper insights into trends, patterns, and performance metrics over a defined time frame, facilitating strategic planning, forecasting, and performance tracking. Medium-Range analytics tools are instrumental in identifying emerging opportunities, predicting future trends, and optimizing resource allocation to drive long-term business growth and competitiveness.
Long-Range analytics solutions encompass the most comprehensive and strategic level of analysis, focusing on analyzing data over extended time horizons, often spanning years or decades. These solutions enable organizations to gain a holistic understanding of long-term trends, market dynamics, and business performance drivers, facilitating strategic decision-making, risk management, and scenario planning. Long-Range analytics tools are instrumental in shaping organizational strategy, guiding investments, and identifying opportunities for innovation and growth in an ever-evolving business landscape.
The segmentation of the Global SaaS-based Business Analytics Market based on product offerings into Short-Range, Medium-Range, and Long-Range analytics solutions reflects the diverse needs and priorities of organizations in leveraging data analytics to drive business outcomes. Each segment offers unique capabilities and insights tailored to address specific business challenges and opportunities, empowering organizations to make informed decisions and stay ahead in today's competitive marketplace.
Global SaaS-based Business Analytics Market, Segmentation by Type
The Global SaaS-based Business Analytics Market has been segmented by Type into On-Site and Cloud.
The Global SaaS-based Business Analytics Market has been segmented by Type into On-Site and Cloud deployments, each offering distinct advantages to organizations based on their needs, infrastructure, and business model. On-site business analytics solutions are typically installed and managed within the organization’s own data centers. This option is favored by businesses that require full control over their data, need to meet strict regulatory compliance requirements, or have specific performance requirements that demand local processing. On-site solutions allow for customization and integration with existing enterprise systems, making them ideal for large organizations with complex IT environments.
On the other hand, the Cloud deployment model is gaining significant traction in the SaaS-based business analytics market. Cloud-based business analytics solutions are hosted on the vendor's servers, allowing organizations to access analytics tools over the internet. This model offers numerous benefits, including scalability, reduced upfront costs, and easier updates and maintenance. Cloud solutions also enable seamless collaboration among teams across different locations, making them an attractive choice for businesses that operate in dynamic environments or have global operations. Furthermore, the cloud offers flexibility in terms of storage and processing power, which is particularly valuable for businesses with fluctuating data analytics needs.
The adoption of cloud-based analytics has been growing rapidly due to its cost-effectiveness, scalability, and ease of deployment. As organizations increasingly move toward digital transformation, the demand for cloud-based solutions is expected to continue to rise. Cloud solutions offer the ability to store and process vast amounts of data in real-time, providing businesses with timely insights and decision-making capabilities. This is particularly important in industries such as retail, healthcare, and finance, where data-driven decision-making is crucial. The choice between on-site and cloud-based solutions ultimately depends on an organization’s specific requirements, with larger enterprises and those with stringent security needs leaning towards on-site deployments, while small to medium-sized businesses and those seeking greater flexibility often opt for cloud-based options.
Global SaaS-based Business Analytics Market, Segmentation by Enterprise
The Global SaaS-based Business Analytics Market has been segmented by Enterprise into Large Enterprises and SMEs.
The Global SaaS-based Business Analytics Market has been segmented by Enterprise into Large Enterprises and Small and Medium Enterprises (SMEs), each group exhibiting distinct characteristics and needs when it comes to adopting business analytics solutions. Large Enterprises are typically characterized by complex operations, vast amounts of data, and the need for comprehensive, tailored solutions. These organizations often require robust analytics platforms that can handle large volumes of data, integrate with diverse IT systems, and provide advanced analytics features like machine learning and predictive analytics. The scalability and customization options offered by SaaS-based solutions make them particularly attractive to large enterprises, as they can be adapted to meet the unique needs of different departments and business units.
In contrast, Small and Medium Enterprises (SMEs) typically face different challenges when it comes to adopting business analytics solutions. These organizations often have fewer resources, both in terms of budget and IT infrastructure, and are looking for more cost-effective, easy-to-deploy solutions. SaaS-based business analytics platforms are an appealing option for SMEs due to their lower upfront costs, scalability, and the fact that they do not require heavy IT management. Cloud-based SaaS solutions, in particular, enable SMEs to access advanced analytics tools without needing a dedicated in-house IT team, making it easier for them to leverage data-driven insights and improve decision-making processes.
As the global market for business analytics continues to expand, both large enterprises and SMEs are increasingly turning to SaaS solutions for their flexibility and efficiency. For large enterprises, the focus is often on comprehensive, customizable platforms that support large-scale operations, complex data analysis, and integration with existing business systems. For SMEs, SaaS-based solutions provide a streamlined approach to data analytics, offering simplified interfaces, reduced costs, and a faster time to value. As cloud computing technology continues to evolve, the divide between the needs of large enterprises and SMEs is narrowing, with SaaS providers increasingly offering scalable solutions that cater to both ends of the market spectrum.
Global SaaS-based Business Analytics Market, Segmentation by End-User
The Global SaaS-based Business Analytics Market has been segmented by End-User into Industrial manufacturing, Healthcare, Architecture and Engineering, Aerospace and Defense and Others.
In the industrial manufacturing sector, SaaS-based business analytics solutions are increasingly utilized to optimize production processes, improve supply chain management, and enhance operational efficiency. These solutions enable manufacturers to gain insights into manufacturing operations, identify areas for improvement, and make data-driven decisions to streamline processes and reduce costs.
In the healthcare industry, SaaS-based business analytics plays a crucial role in improving patient outcomes, enhancing operational efficiency, and optimizing resource allocation. Healthcare organizations leverage analytics solutions to analyze patient data, identify trends, and improve clinical decision-making. These solutions are used for healthcare management, including revenue cycle management, patient engagement, and population health management.
Architecture and engineering firms utilize SaaS-based business analytics solutions to streamline project management, improve collaboration, and enhance decision-making. These solutions enable firms to analyze project data, track progress, and identify potential risks or opportunities. By leveraging analytics, architecture and engineering firms can improve project delivery timelines, reduce costs, and enhance client satisfaction.
In the aerospace and defense sector, SaaS-based business analytics solutions are employed for various purposes, including supply chain management, maintenance and repair optimization, and operational efficiency improvement. These solutions enable aerospace and defense organizations to analyze vast amounts of data from sensors, equipment, and systems to optimize performance, minimize downtime, and ensure compliance with regulatory requirements.
The segmentation of the Global SaaS-based Business Analytics Market by end-user reflects the diverse applications and industry-specific requirements for analytics solutions. Across industrial manufacturing, healthcare, architecture and engineering, aerospace and defense, and other sectors, organizations leverage SaaS-based business analytics to drive innovation, improve operational efficiency, and achieve strategic objectives.
Global SaaS-based Business Analytics Market, Segmentation by Geography
In this report, the Global SaaS-based Business Analytics Market has been segmented by Geography into five regions; North America, Europe, Asia Pacific, Middle East and Africa and Latin America.
Global SaaS-based Business Analytics Market Share (%), by Geographical Region, 2024
The Global SaaS-based Business Analytics Market demonstrates a varied distribution of market share across different geographical regions, reflecting diverse trends, regulatory environments, and technological infrastructures. North America commands a substantial portion of the market share, attributed to its mature technology landscape, high adoption rates of cloud computing, and a strong emphasis on data-driven decision-making. The United States, in particular, stands as a key player in the region, boasting a robust ecosystem of SaaS-based business analytics providers and a large base of enterprises leveraging data analytics for competitive advantage.
Europe holds a significant share of the global market, driven by countries like the United Kingdom, Germany, and France, where organizations prioritize digital transformation and data-driven strategies. The European market benefits from stringent data privacy regulations such as GDPR, driving the adoption of SaaS-based business analytics solutions compliant with regulatory requirements. Europe's focus on innovation and technology adoption further propels the region's market share in SaaS-based business analytics.
The Asia-Pacific region emerges as a rapidly growing market for SaaS-based business analytics, fueled by increasing digitalization initiatives, rising internet penetration, and the adoption of cloud technologies across industries. Countries such as China, Japan, and India witness significant demand for analytics solutions as businesses seek to capitalize on data-driven insights for strategic decision-making and competitive advantage. Government initiatives promoting digital transformation and investment in data analytics infrastructure contribute to the region's expanding market share in SaaS-based business analytics.
Latin America and the Middle East & Africa regions represent emerging markets with untapped potential in the global SaaS-based Business Analytics Market share. While these regions currently account for a smaller share of the global market, factors such as increasing adoption of cloud-based services, growing awareness about the benefits of data analytics, and government initiatives promoting digitalization drive market growth. Strategic partnerships between international and local vendors, along with efforts to address region-specific regulatory and compliance requirements, are expected to further diversify the geographical distribution of market share in these regions.
The distribution of market share in the Global SaaS-based Business Analytics Market is influenced by regional factors such as regulatory landscapes, technological adoption rates, and the maturity of digital transformation initiatives. While North America and Europe maintain significant shares due to their advanced technology ecosystems and regulatory environments, the Asia-Pacific region presents lucrative growth opportunities driven by digitalization initiatives and increasing cloud adoption. Latin America and the Middle East & Africa offer untapped potential for market expansion, with growing awareness about the benefits of data analytics and efforts to promote digital transformation driving adoption of SaaS-based business analytics solutions.
Market Trends
This report provides an in depth analysis of various factors that impact the dynamics of Global SaaS-based Business Analytics Market. These factors include; Market Drivers, Restraints and Opportunities Analysis.
Drivers, Restraints and Opportunity Analysis
Drivers:
- Growing Demand for Data-Driven Decision-Making
- Proliferation of Cloud Computing and Digital Transformation
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Need for Agile and Scalable Analytics Solutions: Traditional on-premises analytics solutions are frequently challenged by a lack of agility and scalability, making it difficult for them to keep pace with the dynamic requirements of modern businesses. In contrast, SaaS-based business analytics solutions provide organizations with the flexibility they need to adjust their resources swiftly in response to shifting market conditions and evolving business needs. This scalability enables businesses to efficiently allocate resources, ensuring they have the right level of analytical capabilities at any given time without the constraints associated with traditional on-premises solutions.
SaaS-based business analytics solutions empower organizations to respond rapidly to changing market dynamics and business requirements by offering the ability to scale resources up or down as needed. This agility allows businesses to optimize their analytical capabilities in real-time, ensuring they can effectively adapt to market fluctuations, seize opportunities, and mitigate risks. By leveraging SaaS-based analytics platforms, organizations can maintain a competitive edge in today's fast-paced business environment while maximizing the efficiency and effectiveness of their analytical processes.
The scalability and agility provided by SaaS-based business analytics solutions enable organizations to streamline their operations, improve decision-making processes, and drive business growth. By leveraging these flexible and scalable platforms, businesses can align their analytical capabilities with their evolving needs, ensuring they have the resources and insights necessary to thrive in an increasingly competitive marketplace.
Restraints:
- Concerns about Data Privacy and Security
- Integration Complexities with Existing IT Systems
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Shortage of Skilled Data Analysts and Data Scientists: The scarcity of proficient data analysts and data scientists presents a notable obstacle for enterprises aiming to fully exploit the capabilities of SaaS-based business analytics solutions. Organizations encounter difficulty in accessing individuals skilled in data analysis, statistical modeling, and machine learning, as the demand for such expertise frequently exceeds the supply of qualified professionals. Consequently, this talent shortage acts as a constraint on the effectiveness of analytics initiatives, impeding the ability of businesses to leverage SaaS-based analytics tools to their fullest potential.
The challenge lies in the scarcity of professionals adept at navigating complex data sets, conducting rigorous statistical analyses, and implementing machine learning algorithms to extract actionable insights. As organizations increasingly rely on data-driven decision-making, the need for individuals possessing these specialized skills becomes more acute. However, the limited availability of such talent restricts the scope and scale of analytics projects, hindering the realization of the full benefits of SaaS-based business analytics solutions.
To address this constraint, organizations may need to invest in talent development programs, upskilling initiatives, and strategic partnerships with educational institutions and training providers. By nurturing internal talent pipelines and fostering a culture of continuous learning and professional development, businesses can mitigate the impact of the talent shortage and enhance their capacity to harness the transformative potential of SaaS-based business analytics solutions.
Opportunities:
- Emerging Trends in Augmented Analytics and Predictive Analytics
- Expansion of Embedded Analytics
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Focus on Data Democratization and Self-Service Analytics: The rising emphasis on data democratization and self-service analytics is creating a fertile ground for vendors to innovate and develop intuitive analytics platforms. These platforms aim to empower business users by granting them direct access to data analysis tools without the need for extensive IT or data science support. By providing user-friendly interfaces, intuitive data visualization features, and interactive dashboards, these solutions facilitate seamless exploration and interpretation of data, enabling organizations to make informed decisions swiftly.
Such analytics platforms not only democratize access to insights but also foster a culture of data-driven decision-making across all levels of the organization. By enabling business users to independently access and analyze data relevant to their roles, these solutions promote agility and responsiveness in decision-making processes. Self-service reporting capabilities offered by these platforms empower users to generate custom reports and derive actionable insights tailored to their specific needs and objectives.
The evolution towards user-friendly, intuitive analytics platforms signifies a transformative shift in how organizations leverage data. By empowering business users to become more self-sufficient in their data analysis endeavors, these solutions drive efficiency, innovation, and competitiveness, thereby unlocking new opportunities for businesses to harness the full potential of their data assets.
Competitive Landscape Analysis
Key players in Global SaaS-based Business Analytics Market include;
- 3D Systems Corp
- AMETEK Inc
- Artec Europe Sarl
- Capture 3D Inc
- Carl Zeiss Optotechnik GmbH
- FARO Technologies Inc
- Hexagon AB
- Nikon Corp
- Topcon Corp
- Trimble Inc
In this report, the profile of each market player provides following information:
- Company Overview and Product Portfolio
- Key Developments
- Financial Overview
- Strategies
- Company SWOT Analysis
- Introduction
- Research Objectives and Assumptions
- Research Methodology
- Abbreviations
- Market Definition & Study Scope
- Executive Summary
- Market Snapshot, By Product
- Market Snapshot, By Technology
- Market Snapshot, By Type
- Market Snapshot, By Enterprise
- Market Snapshot, By End-User
- Market Snapshot, By Region
- Global SaaS-based Business Analytics MarketDynamics
- Drivers, Restraints and Opportunities
- Drivers
- Growing Demand for Data-Driven Decision-Making
- Proliferation of Cloud Computing and Digital Transformation
- Need for Agile and Scalable Analytics Solutions
- Restraints
- Concerns about Data Privacy and Security
- Integration Complexities with Existing IT Systems
- Shortage of Skilled Data Analysts and Data Scientists
- Opportunities
- Emerging Trends in Augmented Analytics and Predictive Analytics
- Expansion of Embedded Analytics
- Focus on Data Democratization and Self-Service Analytics
- Drivers
- PEST Analysis
- Political Analysis
- Economic Analysis
- Social Analysis
- Technological Analysis
- Porter's Analysis
- Bargaining Power of Suppliers
- Bargaining Power of Buyers
- Threat of Substitutes
- Threat of New Entrants
- Competitive Rivalry
- Drivers, Restraints and Opportunities
- Market Segmentation
- Global SaaS-based Business Analytics Market, By Product, 2021 - 2031 (USD Million)
- Short-Range
- Medium-Range
- Long-Range
- Global SaaS-based Business Analytics Market, By Technology, 2021 - 2031 (USD Million)
- Laser Triangulation
- Structured light
- Global SaaS-based Business Analytics Market, By Type, 2021 - 2031 (USD Million)
- On-Site
- Cloud
- Global SaaS-based Business Analytics Market, By Enterprise, 2021 - 2031 (USD Million)
- Large Enterprises
- SMEs
- Global SaaS-based Business Analytics Market, By End-User, 2021 - 2031 (USD Million)
- Industrial manufacturing
- Healthcare
- Architecture and Engineering
- Aerospace and Defense
- Others
- Global SaaS-based Business Analytics Market, By Geography, 2021 - 2031 (USD Million)
- North America
- United States
- Canada
- Europe
- Germany
- United Kingdom
- France
- Italy
- Spain
- Nordic
- Benelux
- Rest of Europe
- Asia Pacific
- Japan
- China
- India
- Australia & New Zealand
- South Korea
- ASEAN (Association of South East Asian Countries)
- Rest of Asia Pacific
- Middle East & Africa
- GCC
- Israel
- South Africa
- Rest of Middle East & Africa
- Latin America
- Brazil
- Mexico
- Argentina
- Rest of Latin America
- North America
- Global SaaS-based Business Analytics Market, By Product, 2021 - 2031 (USD Million)
- Competitive Landscape
- Company Profiles
- 3D Systems Corp
- AMETEK Inc
- Artec Europe Sarl
- Capture 3D Inc
- Carl Zeiss Optotechnik GmbH
- FARO Technologies Inc
- Hexagon AB
- Nikon Corp
- Topcon Corp
- Trimble Inc
- Company Profiles
- Analyst Views
- Future Outlook of the Market