This report describes and explains the generative AI software market and covers 2018-2023, termed the historic period, and 2023-2028, 2033F termed the forecast period. The report evaluates the market across each region and for the major economies within each region.
The global generative AI software market reached a value of nearly $10.45 billion in 2023, having grown at a compound annual growth rate (CAGR) of 35.4% since 2018. The market is expected to grow from $10.45 billion in 2023 to $58.23 billion in 2028 at a rate of 41%. The market is then expected to grow at a CAGR of 18.6% from 2028 and reach $136.81 billion in 2033.
Growth in the historic period resulted from the increased cloud computing adoption, strong economic growth in emerging markets, increased internet penetration, increased demand for personalized content creation and expansion of digital content creation. Factors that negatively affected growth in the historic period were issues related to bias and inaccurately generated output.
Going forward, increasing usage of artificial intelligence, rising adoption of AI in content creation, expansion of the gaming industry, adoption of AI for automated software development and growth in AI-driven cybersecurity solutions will drive the growth. Factor that could hinder the growth of the generative AI software market in the future include limited availability of skilled personnel and technical expertise and growing concerns about data security.
The generative AI software market is segmented by component into software and services. The software market was the largest segment of the generative AI software market segmented by component, accounting for 82.1% or $8.58 billion of the total in 2023. Going forward, the services segment is expected to be the fastest growing segment in the generative AI software market segmented by component, at a CAGR of 46.6% during 2023-2028.
The generative AI software market is segmented by model into large language models, image and video generative models, multi-modal generative models and other models. The large language models market was the largest segment of the generative AI software market segmented by model, accounting for 46.7% or $4.88 billion of the total in 2023. Going forward, the image and video generative models segment is expected to be the fastest growing segment in the generative AI software market segmented by model, at a CAGR of 44.4% during 2023-2028.
The generative AI software market is segmented by application into computer vision, natural language processing, robotics and automation, content generation, predictive analytics and other applications. The natural language processing market was the largest segment of the generative AI software market segmented by application, accounting for 42.7% or $4.45 billion of the total in 2023. Going forward, the content generation segment is expected to be the fastest growing segment in the generative AI software market segmented by application, at a CAGR of 46.3% during 2023-2028.
The generative AI software market is segmented by end-user into media and entertainment, banking, financial services and insurance (BFSI), IT and telecom, healthcare, automotive and transportation and other end-users. The media and entertainment market was the largest segment of the generative AI software market segmented by end-user, accounting for 30% or $3.13 billion of the total in 2023. Going forward, the healthcare segment is expected to be the fastest growing segment in the generative AI software market segmented by end-user, at a CAGR of 48.5% during 2023-2028.
North America was the largest region in the generative AI software market, accounting for 43.2% or $4.51 billion of the total in 2023. It was followed by Asia Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the generative AI software market will be Asia Pacific and North America where growth will be at CAGRs of 43.3% and 41.9% respectively. These will be followed by Western Europe and South America where the markets are expected to grow at CAGRs of 37.5% and 36.7% respectively.
The global generative AI software market is highly concentrated, with large players operating in the market. The top ten competitors in the market made up to 63.71% of the total market in 2023. The market concentration can be attributed to the presence of large number of players in different geographies. Prominent players are launching the new products and attracting investments to consolidate their market positions across the globe, while others are distributing products. OpenAI was the largest competitor with a 16.27% share of the market, followed by Microsoft Corporation with 15.98%, Alphabet Inc (Google LLC) with 15.83%, Amazon Web Services Inc with 13.03%, Anthropic PBC with 0.53%, Cohere Inc with 0.51%, Meta Platforms Inc with 0.45%, NVIDIA Corporation with 0.39%, Glean with 0.37% and LeewayHertz with 0.35%.
The top opportunities in the generative AI software market segmented by component will arise in the software segment, which will gain $37.0 billion of global annual sales by 2028. The top opportunities in the generative AI software market segmented by model will arise in the large language models segment, which will gain $19.51 billion of global annual sales by 2028. The top opportunities in the generative AI software market segmented by application will arise in the natural language processing (NLP) segment, which will gain $19.5 billion of global annual sales by 2028. The top opportunities in the generative AI software market segmented by end-user will arise in the media and entertainment segment, which will gain $14.83 billion of global annual sales by 2028. The generative AI software market size will gain the most in the USA at $17.58 billion.
Market-trend-based strategies for generative AI software market include focus on deployment of large language models (LLMs) to automate processes, focus on advancements in text-to-image tools to transform generative AI landscape, focus on evolution of business chatbots to drive competitive advantage, focus on focus on launch of new metaverse technologies with generative AI tools, focus on technological advancements in generative AI models to improve user experiences, focus on strategic partnerships and collaborations among market players to drive innovation and focus on innovative product launches with focus on AI-powered sales and marketing solutions.
Player-adopted strategies in the generative AI software market include focus on strengthening business capabilities through new product developments and focus on strengthening operational capabilities through attracting investments.
To take advantage of the opportunities, the analyst recommends generative AI software companies to focus on expanding generative AI deployment, focus on advanced technology and safety features, focus on innovative generative AI solutions, focus on developing innovative metaverse technologies, focus on new product development and integration, focus on the services segment to capitalize on growth opportunities, expand in emerging markets, continue to focus on developed markets, focus on strategic partnerships and collaborations, focus on strategic pricing for generative AI companies, focus on content marketing, continue to use B2B promotions and focus on tailored AI solutions for healthcare sector.
The global generative AI software market reached a value of nearly $10.45 billion in 2023, having grown at a compound annual growth rate (CAGR) of 35.4% since 2018. The market is expected to grow from $10.45 billion in 2023 to $58.23 billion in 2028 at a rate of 41%. The market is then expected to grow at a CAGR of 18.6% from 2028 and reach $136.81 billion in 2033.
Growth in the historic period resulted from the increased cloud computing adoption, strong economic growth in emerging markets, increased internet penetration, increased demand for personalized content creation and expansion of digital content creation. Factors that negatively affected growth in the historic period were issues related to bias and inaccurately generated output.
Going forward, increasing usage of artificial intelligence, rising adoption of AI in content creation, expansion of the gaming industry, adoption of AI for automated software development and growth in AI-driven cybersecurity solutions will drive the growth. Factor that could hinder the growth of the generative AI software market in the future include limited availability of skilled personnel and technical expertise and growing concerns about data security.
The generative AI software market is segmented by component into software and services. The software market was the largest segment of the generative AI software market segmented by component, accounting for 82.1% or $8.58 billion of the total in 2023. Going forward, the services segment is expected to be the fastest growing segment in the generative AI software market segmented by component, at a CAGR of 46.6% during 2023-2028.
The generative AI software market is segmented by model into large language models, image and video generative models, multi-modal generative models and other models. The large language models market was the largest segment of the generative AI software market segmented by model, accounting for 46.7% or $4.88 billion of the total in 2023. Going forward, the image and video generative models segment is expected to be the fastest growing segment in the generative AI software market segmented by model, at a CAGR of 44.4% during 2023-2028.
The generative AI software market is segmented by application into computer vision, natural language processing, robotics and automation, content generation, predictive analytics and other applications. The natural language processing market was the largest segment of the generative AI software market segmented by application, accounting for 42.7% or $4.45 billion of the total in 2023. Going forward, the content generation segment is expected to be the fastest growing segment in the generative AI software market segmented by application, at a CAGR of 46.3% during 2023-2028.
The generative AI software market is segmented by end-user into media and entertainment, banking, financial services and insurance (BFSI), IT and telecom, healthcare, automotive and transportation and other end-users. The media and entertainment market was the largest segment of the generative AI software market segmented by end-user, accounting for 30% or $3.13 billion of the total in 2023. Going forward, the healthcare segment is expected to be the fastest growing segment in the generative AI software market segmented by end-user, at a CAGR of 48.5% during 2023-2028.
North America was the largest region in the generative AI software market, accounting for 43.2% or $4.51 billion of the total in 2023. It was followed by Asia Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the generative AI software market will be Asia Pacific and North America where growth will be at CAGRs of 43.3% and 41.9% respectively. These will be followed by Western Europe and South America where the markets are expected to grow at CAGRs of 37.5% and 36.7% respectively.
The global generative AI software market is highly concentrated, with large players operating in the market. The top ten competitors in the market made up to 63.71% of the total market in 2023. The market concentration can be attributed to the presence of large number of players in different geographies. Prominent players are launching the new products and attracting investments to consolidate their market positions across the globe, while others are distributing products. OpenAI was the largest competitor with a 16.27% share of the market, followed by Microsoft Corporation with 15.98%, Alphabet Inc (Google LLC) with 15.83%, Amazon Web Services Inc with 13.03%, Anthropic PBC with 0.53%, Cohere Inc with 0.51%, Meta Platforms Inc with 0.45%, NVIDIA Corporation with 0.39%, Glean with 0.37% and LeewayHertz with 0.35%.
The top opportunities in the generative AI software market segmented by component will arise in the software segment, which will gain $37.0 billion of global annual sales by 2028. The top opportunities in the generative AI software market segmented by model will arise in the large language models segment, which will gain $19.51 billion of global annual sales by 2028. The top opportunities in the generative AI software market segmented by application will arise in the natural language processing (NLP) segment, which will gain $19.5 billion of global annual sales by 2028. The top opportunities in the generative AI software market segmented by end-user will arise in the media and entertainment segment, which will gain $14.83 billion of global annual sales by 2028. The generative AI software market size will gain the most in the USA at $17.58 billion.
Market-trend-based strategies for generative AI software market include focus on deployment of large language models (LLMs) to automate processes, focus on advancements in text-to-image tools to transform generative AI landscape, focus on evolution of business chatbots to drive competitive advantage, focus on focus on launch of new metaverse technologies with generative AI tools, focus on technological advancements in generative AI models to improve user experiences, focus on strategic partnerships and collaborations among market players to drive innovation and focus on innovative product launches with focus on AI-powered sales and marketing solutions.
Player-adopted strategies in the generative AI software market include focus on strengthening business capabilities through new product developments and focus on strengthening operational capabilities through attracting investments.
To take advantage of the opportunities, the analyst recommends generative AI software companies to focus on expanding generative AI deployment, focus on advanced technology and safety features, focus on innovative generative AI solutions, focus on developing innovative metaverse technologies, focus on new product development and integration, focus on the services segment to capitalize on growth opportunities, expand in emerging markets, continue to focus on developed markets, focus on strategic partnerships and collaborations, focus on strategic pricing for generative AI companies, focus on content marketing, continue to use B2B promotions and focus on tailored AI solutions for healthcare sector.
Table of Contents
1 Executive Summary
6 Market Characteristics
7 Major Market Trends
8 Generative AI Software Market - Macro Economic Scenario
9 Global Market Size and Growth
10 Global Generative AI Software Market Segmentation
11 Generative AI Software Market, Regional and Country Analysis
12 Asia-Pacific Market
13 Western Europe Market
14 Eastern Europe Market
15 North America Market
16 South America Market
17 Middle East Market
18 Africa Market
19 Competitive Landscape and Company Profiles
20 Other Major and Innovative Companies
23 Key Mergers and Acquisitions
24 Opportunities and Strategies
25 Generative AI Software Market, Conclusions and Recommendations
26 Appendix
Executive Summary
Generative AI Software Global Market Opportunities And Strategies To 2033 provides the strategists; marketers and senior management with the critical information they need to assess the global generative AI software market as it emerges from the COVID-19 shut down.Reasons to Purchase::
- Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
- Understand how the market is being affected by the coronavirus and how it is likely to emerge and grow as the impact of the virus abates.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on the latest market research findings.
- Benchmark performance against key competitors.
- Utilize the relationships between key data sets for superior strategizing.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis.
Description
Where is the largest and fastest-growing market for generative AI software? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The generative AI software market global report answers all these questions and many more.The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market’s history and forecasts market growth by geography. It places the market within the context of the wider generative AI software market; and compares it with other markets.
The report covers the following chapters
- Introduction and Market Characteristics- Brief introduction to the segmentations covered in the market, definitions and explanations about the segment by component, by model, by application and by end-user.
- Key Trends- Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
- Macro-Economic Scenario- The report provides an analysis of the impact of the COVID-19 pandemic, impact of the Russia-Ukraine war and impact of rising inflation on global and regional markets, providing strategic insights for businesses in the generative AI market.
- Global Market Size And Growth- Global historic (2018-2023) and forecast (2023-2028, 2033F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods.
- Regional And Country Analysis- Historic (2018-2023) and forecast (2023-2028, 2033F) market values and growth and market share comparison by region and country.
- Market Segmentation- Contains the market values (2018-2023) (2023-2028, 2033F) and analysis for each segment by component, by model, by application and by end-user in the market. Historic (2018-2023) and forecast (2023-2028) and (2028-2033) market values and growth and market share comparison by region market.
- Regional Market Size and Growth- Regional market size (2023), historic (2018-2023) and forecast (2023-2028, 2033F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape- Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Other Major And Innovative Companies Details on the company profiles of other major and innovative companies in the market
- Competitive Benchmarking- Briefs on the financials comparison between major players in the market.
- Competitive Dashboard- Briefs on competitive dashboard of major players.
- Key Mergers and Acquisitions- Information on recent mergers and acquisitions in the market is covered in the report. This section gives key financial details of mergers and acquisitions which have shaped the market in recent years.
- Market Opportunities And Strategies- Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions And Recommendations- This section includes recommendations for generative AI software providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
- Appendix- This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
Markets Covered:
1) By Component: Software; Services2) By Model: Large Language Models; Image And Video Generative Models; Multi-Modal Generative Models; Other Models
3) By Application: Computer Vision; Natural Language Processing; Robotics And Automation; Content Generation; Predictive Analytics; Other Applications
4) By End-User: Media And Entertainment; Banking, Financial Services And Insurance (BFSI); IT and Telecom; Healthcare; Automotive And Transportation; Other End-Users
Key Companies Mentioned: OpenAI; Microsoft Corporation; Alphabet Iinc. (Google LLC); Amazon Web Services Inc.; Anthropic PBC
Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Canada; Brazil; France; Germany; Italy; Spain; UK; Russia
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; generative AI software indicators comparison.
Data Segmentation: Country and regional historic and forecast data; market share of competitors; market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Companies Mentioned
- OpenAI
- Microsoft Corporation
- Alphabet Iinc. (Google LLC)
- Amazon Web Services Inc.
- Anthropic PBC
- Cohere Inc.
- Meta Platforms Inc.
- NVIDIA Corporation
- Glean
- LeewayHertz
- Deloitte
- Megvii (Face++)
- Lexisnexis Risk Solutions
- OnePlus
- INDIAai
- SenseTime
- Baidu
- Alibaba Cloud
- Tencent
- Huawei
- iFlyTek
- DJI
- Pony.ai
- Cambricon Technologies
- Wipro AI Solutions
- Tata Consultancy Services (TCS)
- Infosys AI and Automation
- Preferred Networks
- NEC Corporation
- SK Telecom
- Samsung Electronics
- Canva
- Cochlear Limited
- Gojek
- Traveloka
- Aleph Alpha
- Magora
- Sage
- Elixirr
- Responsum
- Eilla AI
- Salesforce Inc.
- BrainChip Holdings
- LightOn
- Synetec
- Graphcore
- Kalray
- SAP SE
- Yandex
- QED Software
- Tooploox
- Grant Thornton
- Druid AI
- Neoteric (Poland)
- Egis
- SAS
- Dynatrace
- Brandtech Group
- Run:ai
- Global Illumination Inc.
- Rockset
- Stability AI
- Ascendion
- Pencil
- DarwinAI Corp
- IBM Corporation
- Machado Meyer Advogados
- Despegar
- Atento
- Totvs
- Stefanin
- Mercado Libre
- Globant
- Cornershop by Uber
- Arauco
- Grupo Bancolombia
- Rappi
- Intercorp
- Banco de Crédito del Perú (BCP)
- Cerebras Systems Inc.
- QX Lab AI
- Mobileye
- Nvidia Israel
- Saudi Telecom Company (STC)
- Saudi Aramco
- DarkMatter
- Mubadala Investment Company
- Qatar Foundation
- Qatar Airways
- Turkcell
- Türkiye İş Bankası
- Bill & Melinda Gates Foundation
- Vezeeta
- RiseUp
- andela
- Flutterwave
- JUMO
- Sensi.AI
- SafeBoda
- mSCAN
- Cellulant
Methodology
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 302 |
Published | August 2024 |
Forecast Period | 2023 - 2033 |
Estimated Market Value ( USD | $ 10.5 Billion |
Forecasted Market Value ( USD | $ 136.8 Billion |
Compound Annual Growth Rate | 29.3% |
Regions Covered | Global |
No. of Companies Mentioned | 101 |