The market size for business intelligence and analytics software applications is forecast to increase worldwide over the next few years from **** billion U.S. dollars in 2021 to more than ** billion in 2026. The business intelligence and analytics software application market is a subsegment of the enterprise application software market. Enterprise application software - a market with worldwide revenues of *** billion U.S. dollars in 2020 - aims at responding to the needs of organizations. These software programs make it easier for companies and businesses to accomplish their corporate goals, by helping to improve supply chain management, manage resources, or interact better with customers, among others. Business intelligence and analytics     Business intelligence applications are used to collect and analyze current, actionable data in order to maintain, optimize or streamline business operations. Business analytics tools, on the other hand, are used to analyze data to be able to predict business trends. The leading companies in the business intelligence and analytics market are Microsoft, SAP and IBM, with revenues of *** billion U.S. dollars, *** billion, and *** billion respectively in 2018.

The market for embedded business intelligence is anticipated to be valued at US$ 28,057.6 million in 2023, forecast to grow at a CAGR of 11.2% to be valued at US$ 81,356.7 million from 2023 to 2033. Growth is attributed to high adoption of self-service analytics.

Data Points	Key Statistics
Growth Rate (2018 to 2022)	9.1% CAGR
Expected Market Value (2023)	US$ 28,057.6 million
Anticipated Forecast Value (2033)	US$ 81,356.7 million

Segment 1	Deployment
Segment 1 Name	Embedded Business Intelligence SaaS
Segment 1 Share	62.3%

Segment 2	Verticals
Segment 2 Name	Dynamic Data Management for BFSI
Segment 2 Share	15.3%

Report of Scope

Report Attribute	Details
Growth Rate	CAGR of 11.2% from 2023 to 2033
Base Year for Estimation	2022
Market Value in 2023	US$ 28,057.6 million
Market Value in 2033	US$ 81,356.7 million
Historical Data	2017 to 2022
Forecast Period	2023 to 2033
Quantitative Units	Revenue in US$ million and CAGR from 2022 to 2032
Report Coverage	Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis
Segments Covered	Deployment Services Vertical Region
Regions Covered	North America Latin America Europe Asia Pacific Middle East and Africa
Key Countries Profiled	USA Canada Brazil Mexico Germany UK France Spain Italy Australia New Zealand China Japan South Korea India Malaysia Singapore GCC South Africa Israel Turkey
Key Companies Profiled	Microstrategy Jaspersoft Pentaho Mode Analytics Looker Sisense Insightsoftware SAP Oracle QlikView
Customization	Available Upon Request

In 2023, the revenue of the business intelligence software industry in China amounted to *** billion U.S. dollars which was a ** percent increase compared to the previous year. According to the forecast, the market was projected to reach almost *** billion U.S. dollars by 2028. Business intelligence software helps gathering, analyzing, and reporting business and performance data.

This statistic shows business Intelligence and analytics tools software market shares by vendor worldwide from 2014 to 2018. In 2018, SAP held a market share of *** percent in the business Intelligence and analytics tools software market.

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Analytics Market Size 2024-2028

The analytics market size is forecast to increase by USD 286.5 billion at a CAGR of 15.06% between 2023 and 2028.

The market is experiencing significant growth due to several key factors. The increasing availability and complexity of data are driving market expansion, as organizations seek to gain insights from their data to make informed business decisions. Additionally, advances in natural language processing (NLP), machine learning, and artificial intelligence (AI) technologies are enabling more sophisticated data analysis and prediction capabilities. 
However, data privacy and security concerns remain a challenge, as organizations must ensure the confidentiality, integrity, and availability of their data. Overall, these trends and challenges are shaping the market and presenting opportunities for innovation and growth.

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The market is experiencing significant modernization, driven by the adoption of advanced technologies such as AI and orchestration. Discovery tools and innovation in manufacturing, healthcare, and science are catalyzing the need for more robust analytics solutions. Governance frameworks, privacy regulations, and security best practices are becoming essential components of the analytics landscape. Manufacturing and retail industries are leveraging advanced analytics tools for quality management, lifecycle management, and pipeline optimization. In healthcare, analytics is playing a crucial role in vaccine research and patient care, while in finance, predictive modeling and financial analysis are driving business decision-making. Businesses across industries are turning to advanced analytics platforms for customer relationship management, sales intelligence, and customer segmentation.
AI adoption is enabling personalized experiences, while virtualization and cloud-based analytics are streamlining operations. Governance, integrity tools, and migration to advanced analytics management platforms are critical for ensuring data accuracy and security. Advanced analytics is also being used for quality management, predictive modeling, and business process optimization in various sectors. Innovation in visualization tools, cataloging, and storytelling is making data more accessible and actionable for businesses, enabling them to gain valuable insights and make informed decisions. Overall, the market is evolving rapidly, with a focus on innovation, efficiency, and data security.

How is this Analytics Industry segmented and which is the largest segment?

The analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Component

  Services
  Software
  Hardware


End-user

  BSFI
  Manufacturing
  Retail
  Healthcare
  Others


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    India


  Middle East and Africa



  South America

By Component Insights

The services segment is estimated to witness significant growth during the forecast period.

In today's business landscape, analytics plays a pivotal role in driving growth and gaining a competitive edge. companies cater to diverse industry needs by providing customized analytics services, including AI, ETL, social media, meta discovery, hybrid multi-cloud, smart retail, proteins, governance, decision-making, self-service consumption, healthcare, scalability, integration, fabrics, customer experience, sensors, real-time healthcare, IoT solutions, active meta discovery, immersive gaming, analytics apps, digital experience, outbreaks, processing power, network devices, healthcare analytics capabilities, engineering, self-service consumption, AI solutions, text analytics, AI-powered BI, geospatial analysis, business intelligence, e-commerce, customer analytics, security, cross-product access management, human resource management, product promotions, social media advertising, enterprise resource planning, and geospatial analytics.

Service providers enhance data security, discover new revenue streams, transform service support for better productivity, and enable informed business decisions. The increasing competition and innovation necessitate industry-specific, consumer group-specific, and region-specific data analysis, making professional services indispensable.

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The Services segment was valued at USD 114.00 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 30% to the growth of the global market during the forecast period.

Techna

The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027. What is Big data? Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets. Big data analytics Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.

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Saas-Based Business Analytics Market Size 2024-2028

The saas-based business analytics market size is valued to increase by USD 10.2 billion, at a CAGR of 13.63% from 2023 to 2028. Shift toward SOA will drive the saas-based business analytics market.

Major Market Trends & Insights

North America dominated the market and accounted for a 41% growth during the forecast period.
By End-user - Retail segment was valued at USD 2.39 billion 

Market Size & Forecast

Market Opportunities: USD 157.19 million
Market Future Opportunities: USD 10198.30 million
CAGR from 2023 to 2028 : 13.63%

Market Summary

The market is experiencing significant growth due to the increasing demand for data integration and visual analytics solutions. Companies are recognizing the value of real-time data insights to optimize their operations, enhance customer experiences, and drive business growth. One area where SaaS analytics has made a significant impact is in supply chain optimization. For instance, a manufacturing firm was able to reduce lead times by 15% and improve on-time delivery by 20% by implementing a SaaS-based analytics solution. Despite the benefits, the market faces challenges, particularly around bandwidth and connectivity issues. As businesses increasingly rely on real-time data, ensuring seamless connectivity and data transfer becomes crucial.
However, with advancements in cloud technology and improving infrastructure, these challenges are being addressed. Additionally, the market is witnessing a trend towards greater integration of AI and machine learning capabilities to provide more accurate and actionable insights. Overall, the market is poised to continue its growth trajectory, offering businesses valuable insights to drive operational efficiency, improve compliance, and enhance decision-making capabilities.

What will be the Size of the Saas-Based Business Analytics Market during the forecast period?

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How is the Saas-Based Business Analytics Market Segmented ?

The saas-based business analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

End-user

  Retail
  BFSI
  Telecom
  Healthcare
  Others


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    Japan


  Rest of World (ROW)

By End-user Insights

The retail segment is estimated to witness significant growth during the forecast period.

In the ever-evolving retail landscape, business analytics plays a pivotal role in driving strategic decisions and optimizing performance. Retailers increasingly adopt Software-as-a-Service (SaaS) solutions for real-time data processing and analysis, integrating various systems such as NoSQL databases, data integration platforms, and data architecture. Customer segmentation, data quality, and revenue optimization are key focus areas, with predictive modeling and ETL processes enabling compliance with regulations and data security. Machine learning algorithms, customer lifetime value, and risk management are essential components of advanced analytics, while sales forecasting, financial modeling, and real-time dashboards provide actionable insights. SaaS-based solutions offer operational efficiency gains, with cloud computing and database management streamlining data warehousing and statistical modeling.

Business intelligence tools, project management software, marketing automation, data visualization, and data transformation tools further enhance the analytical capabilities. A leading retailer, such as Walmart, can reduce errors by 15% through effective data governance and performance monitoring, ensuring a competitive edge in the dynamic retail market.

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The Retail segment was valued at USD 2.39 billion in 2018 and showed a gradual increase during the forecast period.

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Regional Analysis

North America is estimated to contribute 41% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The market in North America is experiencing robust growth, particularly in sectors such as BFSI and healthcare. These industries leverage analytics solutions and services to derive valuable insights from their data and anticipate business needs. In the industrial sector, cloud-based analytical tools are increasingly utilized for informed decision-making. Historical data, combined with data from connected devices and the Industrial Internet of Things (IoT), is analyze

The global big data analytics market size was valued at $307.52 billion in 2023 & is projected to grow from $348.21 billion in 2024 to $961.89 billion by 2032

Artificial Intelligence Market was valued at USD 275.59 billion in 2024 and is expected to reach USD 1478.99 billion by 2030 with a CAGR of 32.32%.

Pages	185
Market Size	2024: USD 275.59 Billion
Forecast Market Size	2030: USD 1478.99 Billion
CAGR	2025-2030: 32.32%
Fastest Growing Segment	Manufacturing
Largest Market	North America
Key Players	1. Alphabet Inc. 2. Microsoft Corporation 3. Amazon.com, Inc. 4. IBM Corporation 5. NVIDIA Corporation 6. Apple Inc. 7. Meta Platforms, Inc. 8. SAP SE

The global big data and business analytics (BDA) market was valued at ***** billion U.S. dollars in 2018 and is forecast to grow to ***** billion U.S. dollars by 2021. In 2021, more than half of BDA spending will go towards services. IT services is projected to make up around ** billion U.S. dollars, and business services will account for the remainder. Big data High volume, high velocity and high variety: one or more of these characteristics is used to define big data, the kind of data sets that are too large or too complex for traditional data processing applications. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets. For example, connected IoT devices are projected to generate **** ZBs of data in 2025. Business analytics Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate business insights. The size of the business intelligence and analytics software application market is forecast to reach around **** billion U.S. dollars in 2022. Growth in this market is driven by a focus on digital transformation, a demand for data visualization dashboards, and an increased adoption of cloud.

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Artificial Intelligence Platforms Market Size 2024-2028

The artificial intelligence platforms market size is valued to increase USD 64.9 billion, at a CAGR of 45.1% from 2023 to 2028. Rising demand for AI-based solutions will drive the artificial intelligence platforms market.

Major Market Trends & Insights

North America dominated the market and accounted for a 66% growth during the forecast period.
By Application - Retail segment was valued at USD 662.60 billion in 2022
By Deployment - On-premises segment accounted for the largest market revenue share in 2022

Market Size & Forecast

Market Opportunities: USD 2.00 million
Market Future Opportunities: USD 64896.80 million
CAGR : 45.1%
North America: Largest market in 2022

Market Summary

The market represents a dynamic and ever-evolving landscape, characterized by continuous innovation and advancements in core technologies and applications. With the increasing adoption of AI-driven solutions, there is a rising demand for advanced platforms that can facilitate seamless integration and interoperability among neural networks. According to recent studies, the global AI platforms market is expected to witness significant growth, with a notable market share held by major players such as IBM, Microsoft, and Google. However, the market is not without challenges.
The rise in data privacy issues poses a significant threat, necessitating stringent regulations and compliance measures. Despite these challenges, the market presents ample opportunities for growth, particularly in sectors such as healthcare, finance, and manufacturing, where AI-driven solutions can bring about transformative change. The ongoing unfolding of market activities and evolving patterns underscores the importance of staying informed and agile in this rapidly evolving landscape.

What will be the Size of the Artificial Intelligence Platforms Market during the forecast period?

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How is the Artificial Intelligence Platforms Market Segmented and what are the key trends of market segmentation?

The artificial intelligence platforms industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Retail
  Banking
  Manufacturing
  Healthcare
  Others


Deployment

  On-premises
  Cloud-based


Geography

  North America

    US


  Europe

    France
    Germany
    UK


  APAC

    China


  Rest of World (ROW)

By Application Insights

The retail segment is estimated to witness significant growth during the forecast period.

Artificial Intelligence (AI) platforms are revolutionizing business operations across various sectors, with the retail industry experiencing significant growth. According to recent reports, the retail segment accounts for approximately 25% of the global AI market, a trend fueled by the digitalization of commerce and the increasing demand for personalized customer experiences. In the realm of AI, Natural Language Processing (NLP) and Cognitive Computing Services are key technologies driving innovation. NLP enables machines to understand human language, while cognitive computing services mimic human thought processes, leading to more accurate and efficient business solutions. Moreover, AI platforms are transforming industries by addressing challenges related to Hyperparameter Optimization, Model Versioning, and Responsible AI Development.

Hyperparameter optimization fine-tunes machine learning models for optimal performance, while model versioning ensures that updated models are seamlessly integrated into existing systems. Responsible AI development focuses on creating ethical AI frameworks and minimizing bias in AI systems. Key performance metrics, such as F1-score calculation, precision, and recall, are essential for evaluating AI model performance. Reinforcement learning methods, inference latency, and throughput optimization are also critical aspects of AI platforms, ensuring real-time data streaming and scalability. The integration of APIs, semantic web technologies, and predictive analytics tools further enhances AI capabilities. Deep learning algorithms, neural network architecture, and model training pipelines are essential components of advanced AI systems.

Data security protocols and knowledge graph technology are crucial for ensuring data privacy and security. Model performance evaluation, real-time data streaming, and bias detection algorithms are essential for maintaining trust and transparency in AI applications. AI-powered automation and big data processing are transforming industries by streamlining processes and generating valuable insights. Edge AI deployment and cloud-based AI platforms are enabling b

Snapshot img

Data Integration Market Size 2024-2028

The data integration market size is forecast to increase by USD 10.94 billion, at a CAGR of 12.88% between 2023 and 2028.

The market is experiencing significant growth due to the increasing need for seamless data flow between various systems and applications. This requirement is driven by the digital transformation initiatives undertaken by businesses to enhance operational efficiency and gain competitive advantage. A notable trend in the market is the increasing adoption of cloud-based integration solutions, which offer flexibility, scalability, and cost savings. However, despite these benefits, many organizations face challenges in implementing effective data integration strategies. One of the primary obstacles is the complexity involved in integrating diverse data sources and ensuring data accuracy and security.
Additionally, the lack of a comprehensive integration strategy can hinder the successful implementation of data integration projects. To capitalize on the market opportunities and navigate these challenges effectively, companies need to invest in robust integration platforms and adopt best practices for data management and security. By doing so, they can streamline their business processes, improve data quality, and gain valuable insights from their data to drive growth and innovation.

What will be the Size of the Data Integration Market during the forecast period?

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The market continues to evolve, driven by the ever-increasing volume, velocity, and variety of data. Seamless integration of entities such as data profiling, synchronization, quality rules, monitoring, and storytelling are essential for effective business intelligence and data warehousing. Embedded analytics and cloud data integration have gained significant traction, enabling real-time insights. Data governance, artificial intelligence, security, observability, and fabric are integral components of the data integration landscape.

How is this Data Integration Industry segmented?

The data integration industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

End-user

  IT and telecom
  Healthcare
  BFSI
  Government and defense
  Others


Component

  Tools
  Services


Application Type

  Data Warehousing
  Business Intelligence
  Cloud Migration
  Real-Time Analytics


Solution Type

  ETL (Extract, Transform, Load)
  ELT
  Data Replication
  Data Virtualization


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By End-user Insights

The it and telecom segment is estimated to witness significant growth during the forecast period.

In today's data-driven business landscape, organizations are increasingly relying on integrated data management solutions to optimize operations and gain competitive advantages. The data mesh architecture facilitates the decentralization of data ownership and management, enabling real-time, interconnected data access. Data profiling and monitoring ensure data quality and accuracy, while data synchronization and transformation processes maintain consistency across various systems. Business intelligence, data warehousing, and embedded analytics provide valuable insights for informed decision-making. Cloud data integration and data virtualization enable seamless data access and sharing, while data governance ensures data security and compliance. Artificial intelligence and machine learning algorithms enhance data analytics capabilities, enabling predictive and prescriptive insights.

Data security, observability, and anonymization are crucial components of data management, ensuring data privacy and protection. Schema mapping and metadata management facilitate data interoperability and standardization. Data enrichment, deduplication, and data mart creation optimize data utilization. Real-time data integration, ETL processes, and batch data integration cater to various data processing requirements. Data migration and data cleansing ensure data accuracy and consistency. Data cataloging, data lineage, and data discovery enable efficient data management and access. Hybrid data integration, data federation, and on-premise data integration cater to diverse data infrastructure needs. Data alerting and data validation ensure data accuracy and reliability.

Change data capture and data masking maintain data security and privacy. API integration and self-service a

Snapshot img

IoT Analytics Market Size 2024-2028

The iot analytics market size is forecast to increase by USD 153.66 billion, at a CAGR of 46.4% between 2023 and 2028.

The Internet of Things (IoT) analytics market is experiencing significant growth, driven by the increasing need to improve business efficiency and enhance operational productivity. One of the most promising sectors for IoT analytics is healthcare, where real-time data analysis is revolutionizing patient care and diagnosis. However, the market's expansion is not without challenges. The sluggish connectivity for IoT devices poses a significant obstacle, limiting the potential for widespread adoption and integration. To capitalize on the market opportunities and navigate these challenges effectively, companies must focus on developing robust IoT analytics solutions that can seamlessly integrate with various devices and networks. By addressing the connectivity issue and delivering actionable insights, organizations can unlock the full potential of IoT analytics and transform their operations.

What will be the Size of the IoT Analytics Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
Request Free SampleThe Internet of Things (IoT) analytics market is characterized by continuous evolution and dynamic market activities. Deep learning and machine learning algorithms are increasingly being integrated into IoT systems for advanced data analysis, enabling real-time decision making and process automation. Edge computing, with its ability to process data closer to the source, enhances operational efficiency and reduces latency in data transfer. Financial services sector is leveraging IoT analytics for fraud detection, risk management, and customer behavior analysis. Wireless networks and low-power wide-area networks facilitate seamless data acquisition from smart devices, ensuring data privacy and security through robust protocols and encryption techniques. Cloud integration and API management enable easy access to data and integration with business intelligence tools, enabling data visualization and data governance. Industrial IoT applications span across various sectors, including supply chain management, fleet management, and smart manufacturing, with a focus on cost optimization and energy management. IoT security is a critical concern, with ongoing efforts towards developing advanced security protocols and firmware updates. Precision agriculture, smart homes, retail analytics, and smart cities are among the emerging applications of IoT analytics, offering significant potential for process automation, environmental monitoring, and public safety. The market dynamics of IoT analytics are shaped by ongoing advancements in artificial intelligence, data analytics, and software defined networking. Integration services and deployment strategies continue to evolve, enabling seamless integration with consumer electronics, healthcare monitoring, and energy management systems. Open standards and real-time monitoring are essential for ensuring interoperability and scalability in IoT ecosystems.

How is this IoT Analytics Industry segmented?

The iot analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. ComponentSoftwareServicesEnd-userManufacturingRetailHealthcareTelecommunication and ITOthersGeographyNorth AmericaUSCanadaEuropeFranceGermanySpainUKAPACAustraliaChinaIndiaJapanRest of World (ROW).

By Component Insights

The software segment is estimated to witness significant growth during the forecast period.In the dynamic landscape of IoT analytics, software solutions have emerged as a dominant force in 2023, accounting for a significant market share. This trend is driven by the expanding global reach of IT and retail companies, necessitating large-scale data management. The surge in SME growth in emerging economies, such as China, India, Brazil, Indonesia, and Mexico, further fuels the demand for data-driven decision-making tools. companies in the market offer software solutions to various industries, enabling real-time data acquisition and analysis for valuable business insights. Edge computing, machine learning, and artificial intelligence technologies are integrated into these solutions to optimize operational efficiency, enhance process automation, and bolster data security. Furthermore, the integration of wireless networks, cloud services, and APIs facilitates seamless data exchange and analysis. Low-power wide-area networks and sensor networks expand the reach of IoT analytics, enabling precision agriculture, smart homes, and retail analytics, among other applications. The market also prioritizes data privacy, securit

The global artificial intelligence (AI) software market is forecast to grow rapidly in the coming years, reaching around *** billion U.S. dollars by 2025. The overall AI market includes a wide array of applications such as natural language processing, robotic process automation, and machine learning. What is artificial intelligence? Artificial intelligence refers to the capability of a machine that is able to replicate or simulate intelligent human behaviours such as analysing and making judgments and decisions. Originated in the computer sciences and a contested area in philosophy, artificial intelligence has evolved and developed rapidly in the past decades and AI use cases can now be found in all corners of our society: the digital voice assistants that reside in our smartphones or smart speakers, customer support chatbots, as well as industrial robots. Investments in AI Many of the biggest names in the tech industry have invested heavily into both AI acquisitions and AI related research and development. When it comes to AI patent applications by company, Microsoft, IBM, Google, and Samsung have each submitted thousands of such applications, and funding for AI related start-ups are raking in dozens of billions of dollars each year.

The global app analytics market was valued at US$ 2,643.7 million in 2023 and is projected to reach US$ 16,008.8 million by 2033, registering a CAGR of 19.7% from 2023 to 2033. Furthermore, with growing adoption across industries such as BFSI, retail & e-commerce, and IT & telecom, the overall demand for market share reached US$ 1,950.4 in 2021 and is likely to touch a valuation of US$ 2,238.5 million in 2022.

Attributes	Key Insights
App Analytics Market Estimated Size (2023)	US$ 2,643.7 million
Projected Market Valuation (2033)	US$ 16,008.8 million
Value-based CAGR (2023 to 2033)	19.7%
Top 5 Vendor Market Share	Around 35%

Scope of Report

Attributes	Details
Estimated Market Value (2023)	US$ 2,643.7 million
Projected Market Value (2033)	US$ 16,008.8 million
Market CAGR 2023 to 2033	19.7%
Share of top 5 players	Around 35%
Forecast Period	2023 to 2033
Historical Data Available for	2018 to 2022
Market Analysis	US$ million for Value
Key Regions Covered	North America, Latin America, Europe, East Asia, South Asia & Pacific, and the Middle East & Africa
Key Countries Covered	United States, Canada, Germany, United Kingdom, France, Italy, Spain, Russia, China, Japan, South Korea, India, Malaysia, Indonesia, Singapore, Australia & New Zealand, GCC Countries, Turkey, and South Africa
Key Segments Covered	Type, Application, Industry, and Region.
Key Companies Profiled	Taplytics Kochava Adobe Systems Inc. IBM Corporation Amazon.com, Inc. Google Inc. Yahoo Inc. Country Upland Software, Inc. Apptentive Moengage Mixpanel Content Square SAS TUNE Inc. Clever Tap AppsFlyer Amplitude Appsee
Report Coverage	Market Forecast, Company Share Analysis, Competition Intelligence, DROT Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives

Snapshot img

Predictive Analytics Market Size 2024-2028

The predictive analytics market size is forecast to increase by USD 38.65 billion at a CAGR of 28.97% between 2023 and 2028.

The market is experiencing significant growth due to the increasing generation of big data and the advent of advanced technologies such as artificial intelligence (AI) and the Internet of Things (IoT). The need for data-driven assumptions in predictive models is also driving market growth. 
Various sectors including remote health monitoring and e-commerce are leveraging predictive analytics to gain insights and make informed decisions. Data science platforms, analytics, virtualization software, and cloud analytics are key technologies propelling market expansion. Furthermore, emerging trends in decentralized finance are expected to create new opportunities for predictive analytics solutions. Overall, the market is poised for robust growth as businesses seek to harness the power of data to gain a competitive edge.

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The market is experiencing significant growth, driven by the increasing adoption of advanced technologies such as machine learning, statistical modeling, and big data in various sectors. The market encompasses a wide range of applications, including remote health monitoring, smart payment technologies, and digital infrastructures. Technology deployments In the e-commerce sector and the proliferation of health-related wearable devices are also contributing to market expansion. Predictive analytics solutions are increasingly being integrated into IoT devices, cloud platforms, and transactional databases to enhance data integrity and improve business plans. The internet and linked gadgets are generating vast amounts of data, leading to a growing demand for predictive analytics to analyze consumer perception and make informed decisions.
Predictive analytics is also being used in various industries for predictive maintenance, fraud detection, and demand forecasting. Overall, the market is expected to continue growing as businesses seek to leverage advanced analytics to gain insights from their data and gain a competitive edge.

How is this Predictive Analytics Industry segmented and which is the largest segment?

The predictive analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

End-user

  BFSI
  Retail and e-commerce
  Telecom and IT
  Transportation and logistics
  Others


Deployment

  Cloud-based
  On-premises


Component

  Solutions
  Services


Geography

  North America

    US
    Canada


  Europe

    Germany
    UK


  APAC

    China
    Japan
    India


  South America

    Brazil


  Middle East and Africa

By End-user Insights

The bfsi segment is estimated to witness significant growth during the forecast period. Predictive analytics plays a pivotal role in various sectors, with the banking, financial services, and insurance (BFSI) industry leading the market in 2023. This technology enables businesses to analyze historical data and make informed predictions about consumer behavior and market trends. For instance, In the BFSI sector, predictive analytics helps institutions understand customer patterns, preferences, and risks, allowing them to make data-driven decisions and prioritize customer interests. Advanced technologies such as artificial intelligence (AI), deep-learning algorithms, and machine learning are integral to predictive analytics solutions. These technologies facilitate data interpretation, risk assessment, and overall business performance improvement. Predictive models based on statistical tools and in-database analytics solutions are used to analyze data from various sources, including transactional databases, device log files, images, videos, sensors, and more.

Predictive analytics is also utilized in sectors like e-commerce, healthcare, and technology deployments, including remote health monitoring, smart payment technologies, digital infrastructures, and IoT. Predictive analytics solutions are offered as software and services, with cloud-based options becoming increasingly popular. Data creation, business plans, and marketing campaigns are some of the areas where predictive analytics adds value. By leveraging predictive analytics, businesses can optimize operations, reduce risks, and identify new opportunities.

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The BFSI segment was valued at USD 1.73 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 41% to the growth of the global market during the forecast

Snapshot img

Streaming Analytics Market Size 2024-2028

The streaming analytics market size is forecast to increase by USD 39.7 at a CAGR of 34.63% between 2023 and 2028.

The market is experiencing significant growth due to the increasing need to improve business efficiency in various industries. The integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies is a key trend driving market growth. These technologies enable real-time data processing and analysis, leading to faster decision-making and improved operational performance. However, the integration of streaming analytics solutions with legacy systems poses a challenge. IoT platforms play a crucial role In the market, as IoT-driven devices generate vast amounts of data that require real-time analysis. Predictive analytics is another area of focus, as it allows businesses to anticipate future trends and customer behavior, leading to proactive decision-making.Overall, the market is expected to continue growing, driven by the need for real-time data processing and analysis in various sectors.

What will be the Size of the Streaming Analytics Market During the Forecast Period?

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The market is experiencing significant growth due to the increasing demand for real-time insights from big data generated by emerging technologies such as IoT and API-driven applications. This market is driven by the strategic shift towards digitization and cloud solutions among large enterprises and small to medium-sized businesses (SMEs) across various industries, including retail. Legacy systems are being replaced with modern streaming analytics platforms to enhance data connectivity and improve production and demand response. The financial impact of real-time analytics is substantial, with applications in fraud detection, predictive maintenance, and operational efficiency. The integration of artificial intelligence (AI) and machine learning algorithms further enhances the market's potential, enabling businesses to gain valuable insights from their data streams.Overall, the market is poised for continued expansion as more organizations recognize the value of real-time data processing and analysis.

How is this Streaming Analytics Industry segmented and which is the largest segment?

The streaming analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. DeploymentCloudOn premisesTypeSoftwareServicesGeographyNorth AmericaCanadaUSAPACChinaJapanEuropeUKMiddle East and AfricaSouth America

By Deployment Insights

The cloud segment is estimated to witness significant growth during the forecast period.

Cloud-deployed streaming analytics solutions enable businesses to analyze data in real time using remote computing resources, such as the cloud. This deployment model streamlines business intelligence processes by collecting, integrating, and presenting derived insights instantaneously, enhancing decision-making efficiency. The cloud segment's growth is driven by benefits like quick deployment, flexibility, scalability, and real-time data visibility. Service providers offer these capabilities with flexible payment structures, including pay-as-you-go. Advanced solutions integrate AI, API, and event-streaming analytics capabilities, ensuring compliance with regulations, optimizing business processes, and providing valuable data accessibility. Cloud adoption in various sectors, including finance, healthcare, retail, and telecom, is increasing due to the need for real-time predictive modeling and fraud detection.SMEs and startups also benefit from these solutions due to their ease of use and cost-effectiveness. In conclusion, cloud-based streaming analytics solutions offer significant advantages, making them an essential tool for organizations seeking to digitize and modernize their IT infrastructure.

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The Cloud segment was valued at USD 4.40 in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 34% to the growth of the global market during the forecast period.

Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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In North America, the region's early adoption of advanced technology and high data generation make it a significant market for streaming analytics. The vast amounts of data produced in this tech-mature region necessitate intelligent analysis to uncover valuable relationships and insights. Advanced software solutions, including AI, virtualization, and cloud computing, are easily adopted to enh

The market for artificial intelligence grew beyond *** billion U.S. dollars in 2025, a considerable jump of nearly ** billion compared to 2023. This staggering growth is expected to continue, with the market racing past the trillion U.S. dollar mark in 2031. AI demands data Data management remains the most difficult task of AI-related infrastructure. This challenge takes many forms for AI companies. Some require more specific data, while others have difficulty maintaining and organizing the data their enterprise already possesses. Large international bodies like the EU, the US, and China all have limitations on how much data can be stored outside their borders. Together, these bodies pose significant challenges to data-hungry AI companies. AI could boost productivity growth Both in productivity and labor changes, the U.S. is likely to be heavily impacted by the adoption of AI. This impact need not be purely negative. Labor rotation, if handled correctly, can swiftly move workers to more productive and value-added industries rather than simple manual labor ones. In turn, these industry shifts will lead to a more productive economy. Indeed, AI could boost U.S. labor productivity growth over a 10-year period. This, of course, depends on various factors, such as how powerful the next generation of AI is, the difficulty of tasks it will be able to perform, and the number of workers displaced.

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