USD 14.27 Billion
Report ID:
SQMIG45A2063 |
Region:
Global |
Published Date: June, 2025
Pages:
192
|Tables:
119
|Figures:
87
Global Predictive Analytics Market size was valued at USD 14.27 Billion in 2023 and is poised to grow from USD 18.8 Billion in 2024 to USD 105.76 Billion by 2032, growing at a CAGR of 24.1% during the forecast period (2025-2032).
Growing adoption of big data and Internet of Things (IoT) technologies is estimated to primarily bolster the demand for predictive analytics on a global level. Rising emphasis of organizations on gaining a competitive edge over each other is bolstering the demand for business intelligence solutions thereby also favoring the global predictive analytics market growth. Increasing adoption of data-driven decision-making across the world is also slated to create new opportunities for predictive analytics providers.
High emphasis on improving customer support to promote retention and satisfy evolving consumer preferences and efforts to deliver personalized user experiences by organizations are forecasted to bolster the adoption of predictive analytics solutions and services in the long run. Use of advanced artificial intelligence and machine learning technologies to develop AI models that can process massive datasets, recognize patterns, and generate accurate forecasts is also favoring market development. Rising emphasis on fraud detection and risk management is further estimated to boost the adoption of predictive analytics in the future. Using predictive analytics in marketing can improve sales for organizations.
On the contrary, high costs of implementation, dearth of skilled professionals, data privacy and security concerns, resistance to AI-driven decision-making adoption, and complexity in AI model interpretation are slated to be key constraints slowing down the global predictive analytics market penetration through 2032.
How Artificial Intelligence is Revolutionizing Predictive Analytics?
Use of advanced AI models to create advanced predictive analytics solutions and tools with better processing capabilities is expected to offer new opportunities for predictive analytics companies going forward. Use of advanced AI technologies in combination with advanced machine learning technologies can help market players develop more sophisticated predictive analytics models. Developing specialized AI-driven business predictive analytics models for specific industry verticals and applications can also help improve the business scope of market players focusing on leveraging AI technologies.
Market snapshot - 2025-2032
Global Market Size
USD 14.27 Billion
Largest Segment
Large Enterprises
Fastest Growth
Small and Medium Enterprises
Growth Rate
24.1% CAGR
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The global predictive analytics market is segmented on the basis of component, deployment, end use, organization size, end user, and region. By component, the market is segmented into solutions (customer analytics, financial analytics, marketing & sales analytics, network analytics, risk analytics, supply chain analytics, web and social media analytics, others) and services (deployment/ installation, support & maintenance, training & consulting). By deployment, the market is segmented into clouds and on-premises. Based on end use, the market is segmented into aerospace & defense, automotive & transportation, BFSI, healthcare, IT & telecommunication, media & entertainment, retail and e-commerce, and others. Based on organization size, the market is segmented into small and medium enterprises and large enterprises. By region, the market is segmented into North America, Europe, Asia Pacific, the Middle East and Africa, and Latin America.
Which Component of Predictive Analytics Brings in Most Revenue?
Predictive analytics solutions are forecasted to bring in the highest global predictive analytics market revenue during the forecast period. Extensive use of advanced analytics tools and solutions in multiple industry verticals to gain better insights into business, coupled with high adoption of data-driven decision-making, are helping cement the dominance of this segment. Availability of data mining, statistical analysis, and machine learning capabilities in predictive analytics solutions is also expected to help this segment lead revenue generation through 2032 and beyond.
Meanwhile, the demand for services is slated to rise at a notable pace as per this predictive analytics industry analysis. Surge in demand for consulting, implementation, and support services across multiple organizations is generating new business scope via this segment.
Why are Large Enterprises Investing in Predictive Analytics?
The large enterprises segment is slated to hold the highest global predictive analytics market share in the future. Emphasis of multiple large enterprises on improving customer understanding is helping this segment hold sway over others. Efforts to improve risk mitigation and operational cost reduction are also pushing them towards predictive analytics adoption on a global level.
Growing awareness regarding the multiple benefits of predictive analytics adoption among small and medium enterprises (SMEs) makes it the fastest-growing segment. High availability of affordable cloud-based predictive analytics solutions and increasing accessibility to free AI and large language models are expected to attract more SMEs towards predictive analytics.
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Why are All Predictive Analytics Companies Flocking in North America?
The availability of a highly advanced technological infrastructure coupled with the presence of top data analytics companies are making North America the top spot for all predictive analytics providers. Quick adoption of advanced analytics technologies, high investments in novel data analytics technologies, and favorable environment for innovation are also boosting business scope for companies. Predictive analytics and healthcare are estimated to emerge as a life-saving combination for patients in this region.
United States Predictive Analytics Market
Availability of high volumes of raw unstructured data, substantial investments in AI adoption, and high preference for data-driven decision-making are all allowing the United States to emerge as the most opportune country in the North American region. The use of predictive analytics in healthcare is expected to have a bright outlook in the country going forward.
How Fast will Asia Pacific Adopt Predictive Analytics through 2032?
Asia Pacific is slated to emerge as the fastest growing region for predictive analytics companies on a global level. Launch of new digital transformation initiatives, proactive investments in R&D of novel artificial intelligence technologies, and rising adoption of smartphones are some key factors helping create new opportunities for regional players.
China Predictive Analytics Market
China is forecasted to serve as the leading country for predictive analytics providers owing to supportive government initiatives and presence of a vast data pool from a massive population. Adoption of predictive analytics to predict crime is rising rapidly and law enforcement agencies in the country are expected to be prime adopters of the technology in the future as well.
Japan Predictive Analytics Market
The country is emerging as a key innovator in the predictive analytics space as new applications for predictive analytics are being explored by Japanese companies. Increasing adoption of automation and rapid expansion of the e-commerce industry are promoting the adoption of advanced predictive analytics to analyze consumer behavior and use predictive maintenance solutions in Japan.
South Korea Predictive Analytics Market
Robust adoption of automation and robotics in the manufacturing industry of South Korea is estimated to boost the demand for predictive analytics going forward. Growing demand for predictive maintenance in automation solutions to reduce downtime is expected to create new opportunities for predictive analytics providers in the long run.
How Lucrative is Predictive Analytics Industry in Europe?
Growing investments in the development of novel big data technologies and efforts to enhance customer engagement by organizations are offering an opportune setting for predictive analytics providers. The surge in popularity of predictive maintenance and data-driven decision-making in multiple businesses are also forecasted to favor predictive analytics adoption in European countries. Presence of stringent data privacy laws such as General Data Protection Regulation (GDPR), Data Protection Regulation for EU institutions, bodies, offices and agencies (EUDPR), and Law Enforcement Directive (LED) in this region also builds trust in data and promotes predictive analytics demand.
Germany Predictive Analytics Market
Germany is slated to be the most opportune country in the European region going forward. Presence of robust manufacturing industry, growing adoption of Industry 4.0 and automation, and rising integration of AI in healthcare are helping cement the dominance of Germany in this region.
United Kingdom Predictive Analytics Market
Adoption of predictive analytics in healthcare is projected to primarily create new business scope for companies operating in the United Kingdom. High emphasis of public health agencies, National Health Service (NHS) on improving healthcare accessibility and patient outcomes is driving up the adoption of advanced technologies such as AI and predictive analytics in healthcare.
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Predictive Analytics Market Drivers
Growing Adoption of Big Data and IoT
Importance of Business Intelligence
Predictive Analytics Market Restraints
High Implementation Costs
Dearth of Skilled Professionals
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Predictive analytics companies need to focus on resolving the issue of shortage of skilled professionals to unlock the full potential of their businesses. Integration with other types of data analytics technologies can also help market players stand out from the competition. While the market is highly competitive, there is scope for companies developing predictive marketing analytics as per this predictive analytics market forecast.
Developing advanced AI models for specific industry verticals remains the prime focus of predictive analytics startups. Here are some key startups that could alter the future of predictive analytics over the coming years.
Top Player’s Company Profiles
Recent Developments in Predictive Analytics Market
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, increasing digital transformation, growing adoption of data-driven decision-making, and advancements in data analytics are anticipated to boost predictive analytics demand through 2032. On the contrary, high costs of implementation and dearth of skilled professionals are estimated to impede the demand for predictive analytics over the coming years. The presence of leading predictive analytics providers and high adoption of data-driven decision-making are helping North America cement its high share across the study period. Integration with edge computing and use of quantum computing can help enhance the adoption of predictive analytics on a global level through 2032 and beyond. Predictive analytics solutions are slated to bring in the most revenue for market players in the long run.
Report Metric | Details |
---|---|
Market size value in 2023 | USD 14.27 Billion |
Market size value in 2032 | USD 105.76 Billion |
Growth Rate | 24.1% |
Base year | 2024 |
Forecast period | 2025-2032 |
Forecast Unit (Value) | USD Billion |
Segments covered |
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Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
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Customization scope | Free report customization with purchase. Customization includes:-
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Table Of Content
Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
Methodology
For the Predictive Analytics Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Predictive Analytics Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
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Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Predictive Analytics Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Predictive Analytics Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
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Global Predictive Analytics Market size was valued at USD 14.27 Billion in 2023 and is poised to grow from USD 18.8 Billion in 2024 to USD 105.76 Billion by 2032, growing at a CAGR of 24.1% during the forecast period (2025-2032).
Key vendors in Predictive Analytics Market are: 'IBM (US) ', 'Microsoft (US) ', 'Oracle (US) ', 'SAP (Germany) ', 'SAS Institute (US) ', 'Google (US) ', 'Salesforce (US) ', 'Amazon Web Services (AWS) (US) ', 'Hewlett Packard Enterprise (HPE) (US) ', 'Teradata (US) ', 'Alteryx (US) ', 'FICO (US) ', 'Altair (US) ', 'Domo (US) ', 'Cloudera (US) ', 'Board International (Switzerland) ', 'Hitachi Vantara (US) ', 'Qlik (US) ', 'Happiest Minds (India) ', 'Dataiku (US) ', 'Biofourmis (US) ', 'In-med Prognostics (India) ', 'Aito.Ai (Finland) ', 'Symend (US) ', 'Onward Health (India) ', 'Unioncrate (US) ', 'CyberLabs (Brazil) ', 'Actify Data Labs (India) ', 'Amlgo Labs (India) ', 'Verimos (US)'
The surge in adoption of big data and Internet of Things (IoT) technologies has resulted in the generation of vast amounts of data. Predictive analytics companies are processing, analyzing, and deriving actionable insights from this high volume of structured and unstructured data to help business make accurate predictions, informed decisions and predictive marketing analytics solutions that help improve business potential of organizations.
Growing Adoption in Healthcare for Personalized Medicine: Use of predictive analytics in healthcare for personalized medicine, patient risk assessment, and early diagnosis is rising rapidly. By analyzing patient history, genetic data, and real-time health records, predictive models can forecast disease progression and recommend tailored treatment plans. This predictive analytics market trend is driven by rising healthcare digitization, the proliferation of wearable health devices, and increasing pressure to reduce costs
The availability of a highly advanced technological infrastructure coupled with the presence of top data analytics companies are making North America the top spot for all predictive analytics providers. Quick adoption of advanced analytics technologies, high investments in novel data analytics technologies, and favorable environment for innovation are also boosting business scope for companies. Predictive analytics and healthcare are estimated to emerge as a life-saving combination for patients in this region.
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